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ریتمائی
نیشنل لاک ذاون گهر پر ریبین کورونا وائرس کے کیپسیل بورہ ملک میں تجزیہ سے برہم بین. معلوم کریں کہ آپ کیا کرسکتی بین اور کیا نہیں کرسکتی؟
4 جون 2021 کو شائع ہوا ایخر اپریل 6 جون 2021 - نامام اینشنس دیکھیں
مجانب: کسسٹ افسس
لاکو بونا ہے:
اکسلنڈ مین
فیربسٹ
خلاص: فومی لاک ذاون کے دوران آپ کیا کرسکتی بین اور کیا نہیں کرسکتی؟ بچوں، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ، جگہ,جگه
ایکسساتر کربا جبیر کو ذهابیا سیورت اور جالللا کینر بیلر اکر اب موطا نوزی بین ان لوقون کو بجانا جنینی کورونا وارس سی ریاده خطره لاحق بو کامر بر جانا سکول با کالاج جانا بونوبستشن جالللا کینر سفر بن الافوامی سفر گهر سی دوه رات گرازنا کینر بوم کی ورت جانارت شادی بیاه، سول پارترشب او مدنی عبادات عمانگاناب کهبل اور جسمانی سرگرمی گهر بنلان مالی معاونت کارواپاو وینوز کارواپ اور وینوز حو کهل ره سکنی بین صحت کی دنکه. پوال اور غوامی خدمات
اس صحح کو برث کین
خلاصه: فومی لاک ذاؤن کی دوران آب کیا کرسکتی
آب ضرور گهر بر ربن سب سی ام واحد کام جو برم سب کر سکنی بین وه بین این انج ابس کی حفاظت اور جانون کی بجاو کی لنگ هجر بر رتنا. آب کو فوری طور بر انس رنمنایی بر عمل کرنا جاننی به قانون بین.
گهر سی نكلنا آپ کو گھر سے بیار نبیب جانا جانی، سوائے اس کے کچھ جب پر ضروری بودا آب
ان کامون کلیئے گھر سے نکل سکتے بین:
- ایہی با کسی غیر محفوظ شخص کے لئے بنادی ضروریات کی خریداری کرنے
- کام بر جانا، با رضاکاران، با رفاقتی خدمات فراوان کرنے، اگر آپ گھر سے محفوظ طور بر اسما نبیب کرسکن تو
- اینی گھرول (با سیورت بل) با کسی دوسرس شخص کے ساتان ورزش کرنے، با انک دن مین انک رات نک محدود بونا جانی، اور آپ کو اینی مقامی علاقے سے بار سفر نبیب کرنا جانا جائے
- جبان صورتی با اینی سیورت بل با جائلہ کیند بل سے ملین، لیکن صرف اس صورت مین حب آپ کو فاونٹن طور بر بینای کی اجازت بود
- طبی امداد حصل کرنے با جوت، بیماری با نقمان کے خطرے (گھرولو)
- رابطہ سمیت سے ججا
- تعلم با جائلہ کیند مین شرکت کرن - ان کلیئے کیند حوااس کے ابل بون
اگر آپ مجاز وجوجو کے نا پر گھروزون بین تو آپ کو بمبشتو لولک بی رتنا جانا - حب نک دوزجان کے ضرورت نبو، متال کے طور بر جانا . لوولک ربن کا مطلب بی گاؤن، قصص با شبر واو حصح جبان آپ ربتی بون، وبس رتنا - طبی لاحاظ سے انتہائی کمزور (ولنرایل) بین آپ کو صرف میدذکل ابوائشتمشش، ورزش کے لئے بار جانا جانین با اگر اشد ضروری بود آپ کو کام بر نبیب جانا جائے
دوسرن سے ملتا
آپ کسی انسان شخص چا سماجی طور بر ملافاقا کرنے اپن گھر سے نبین جاسکتا جس کے ساتان آپ نبین ربتى او ربتى با سیورت بل مناسک چا ساتانه بین (اگر آپ فاونٹن طور بر آپ ساسن کي تشکيل كي اجازت بي) آپ اکلی بی، ایک دوسرے شخص کی سائنس، با اینی گھریلو با سیورت بیل کیسائنس ورش کرسکنی بی۔ ایک دن میں اک بار نک محدود بونا جانی، اور آپ کو ابین مقامی علاقہ سے بار سفر نین کرنا جانی۔
آپ دوسرے لگون سے نین مل سکی جن کے سائنس آپ نین رتی، با سیورت بیل نین بنائی، جب نک کم مجرا عذر نہ ہو۔
ایب گھریلو سے بار کسی بھی فرد سے 2 میٹر کا فاصلہ پر رین۔
## تعليم
کالج، برائمری اور سیکندری سکول صرف ولفراولز بنچ او رکشکل ورکرز کے مجبور کے لئے کھلا رین گی، دوسرے تمام بجے فروز کے وسط نک دور سے تعليم حاصل کرنے گی۔
ابتدائی سالوں کے مازا کھلا رین گی۔ مستقبل کے رکشکل ورکرز کے علاوہ باتر اوجوکیشن کے فرامیر فروز کے وسط نک آن لان رہ گی۔
## ہر ربنمای کس کے لئے ہیں؟
ہر ربنمای ان لگون کے لئے ہیں جو تندرت اور صحتمد بین طبی لاحاظ سے کورونا وائرس کے انتباہ خطرہ سے دوجا لگون، اوفر ممکن با ضبقہ شدہ کورونا وائرس انفکشن والے کورونا کے لئے آکر ربنمای ہیں۔ آکر آپ طبی لاحاظ سے انتباہ انفکشن بین تو آپ کو دوبارہ شروع بنو والے شلائکن کانٹینس کے بیرور کرن جانائے - او کام، اسکول، کالج با پوسٹسٹن نین جانا جانائے آپ کو گھر سے بار گزارنے والا وقت کو محدود کردنا جانائے آپ کو صرف میدانل ابوائتمینتنس، ورشش با اگر صورتو تو بار جانا جانائے۔
باتہ جبرہ. جگ。
<img>A page from a book with text in Urdu.</img> تقریبا 3 افراد مین سے 1 مین کورونا وارننس کی کونی علامت نبی بوتی اور بوسکتا ہو مجسس کی فیر بی اسے بهلا رنا ہو۔
یاد رکھیں ، نانہ جھیرہ جگم۔
• باتہ - ابیہ پافاعدگی سے اور 20 سیکنٹر کے لیے دھونی۔ • جھیرہ - اندروں ماحول مین جبر کو ذہانیس جیب شاپ معاشرتی دوزی مشکل ہو۔ اور جیب آپ ان لوگوں کے قرب آئس گا جن کساتھ آپ عام طور پر ملاقات نبی کرتے بین۔ • جگم - جن لوگوں کیساتھ آپ نبی رتے بین تو جیب بھی ممكن ہو ان سے 2 متر کے فاضلے پر رین، با 1 متر اضافی اختیاطی تداریر رکھتے بوق (جیسے جھیرہ کا ذہانیسا) تمام حالات مین آپ کو دوسروں سے بحقاظت ملنے کے قواعد کی پیروی کرنے جانئے۔
جب آپ گھر ججوؤ سکنے بین آپ کو اپنا گھر ججوؤ نما باز نبی جانچ سوانائ اس کے جب کونی 'معقول عذر' بو۔ ہے فاقون ہے۔ اگر آپ بغير کسی 'معقول عذر' کے گھر ججوؤ جانچ بین، تو بولبس آپ کے خلاف کاروائی کر سکتے ہو آور جرمان (کفسا پینلتی توثق) جاری کرسکنے ہو۔ بنلے جرم کے لئے آپ کو 200 چجرمانا کا نوثن دبا جاسکتا ہو، اور بھر بر جرم کرتے بر دوجا نوا رین، گا، 6,400 تک。 معقول عذر مین شامل بین:
کام آب صرف کام کی مفاضل کے لئے گھر جوہوز سکتی بین جب آپ کی گھر سی اپنا کام کرتا غیر معقول ہے، اس میں وہ لوگ شامل بیں، لیکن ان نک محدود نبین یہ، جو ام فووم افراتارکجور، کنسترکشن با مینوفیکچرینگ کے کام کرتی س جہان بنفس نفس حاضری کے صورت پوتی ہی
# رضاکاران خدمات
# رضاکاران، يا رفايع خدمات فراين کرنے کے لئے بھی آپ گھر سی بابر جاسکتی بین.
# لازمی سرگرمیان
آپ دکائون سے چچز خریدنے با خدمات حاصل کرتے ہیں لئے گھر سی نکل سکتی بین، آپ کسی معدوم با کمزور شخص با خود کو اگل تملک رکھتے والے شخص کی جانب سے ان کامون کے کرتے کبلنے بھی آپ گھر سی نکل سکتی بین.
# تعلیم اور جانائلہ کنثر
آپ صرف تعليم، رحسمت جانائلہ کنثر، اور بجوج کبلنے زیر نگرانی سرگرمیون کے لئے گھر سی نکل سکتی بین جبب شرکت کرتے ہوئے آپ بوسکول کی عمر کے طلباء کے لئے تعليم او راجوں کی سرگرمیون نک رسانی محدود ہیں تعليم اور جانائلہ کنثر کے بارے میں مزید معلومات دکھائی آؤگ و والدین او راجوں کے ماپین رابطہ کے لئے موجودہ انتظامات جاری رکھتے بین جبب وہ اگل تملک رکھتے بین۔ اگر آپ کسی ابسٹ گھرائی من ربتا بین جبب کسی کی عمر 14 سال سے تم تو آپ جانائلہ کنثر بلل بھی جاسکتی بین.
# دوسرس سے ملنا اور کنثر
آپ گھر سی نکل سکتی بین:
<table>
<tr>
<td>اپنی سیورث بیل با جانلگ کینر بیل سی ملنی کیلی (اگر آب کو قانونی طور بر اسپ بنانی کی اجازت بود)</td>
</tr>
<tr>
<td>14 سال سی کم عمر بجون کو جانلگ کینر بیل کے ذريعہ غیررسمی طور بر جانلگ کینر فرایم کرتا ہوتا کہ طور بر والدین کو کام کرنے کے فائل بنائے۔ نہک پونے کی ماین سماجی رابطہ کو ممكن بنائے)</td>
</tr>
<tr>
<td>مدور با غیرمحفوظ لگوں کے دیکھ بھال کرتا</td>
</tr>
<tr>
<td>بنگامی امداد فرایم کرتا</td>
</tr>
<tr>
<td>سیورث گروپ مین شرکت کرتا (15 افراد نک)</td>
</tr>
<tr>
<td>دیکھ بھال مین سبارا دینا جیمان پر دیکھ بھال کسے غیرمحفوظ فرد يا کسے معدوم شخص کو فرایم کے جارنی بو، با دیکھ بھال کے تحت ایک</td>
</tr>
<tr>
<td>جب سے متفاوت اکم مختصر وقتم بود</td>
</tr>
</table>
وررزش
آب خود اکلی، ایک دوسرس شخص کے ساتھ، با اپنے گھر بلبا سیورث بل کبسات، ورزش جاری رکھ سکتا بود، با اپنے دین مین اپنے بار تک محدود بوا جانائے، اور آپ کو اپنے مقامی علاقہ سے بار سفر نئس کرتا جانائے، آپکا سماجی فاضل برقرار رکھنا دیدہہی انکسرسنسانز کرتا.
طبی وجوہات آب طبی وجوہات کی بناء بر گھر سے نكل سکتا بود، بشمول کووید-19 ثبت، طبی اوتوانتمنت اور بنگامی صورتحال کی۔
زرجگي آپ اس وقت گھر سے نكل سکتا بود آب کو کسے بچا کرتا ہوتا، با کسے اپنے نومولود بچا کی ساتھ، موجود بواں با جو نيونتسل کرشنکل کنیر یا روا. جمل اور کورونا وایرس سے متعلق این ایچ ایس کی ریتمائی موجود ہے
نقصان آپ جوئ بیماری سے بجن، با فصان سے بجن (جیسے گھریلو زیادتی) کلک گھر سے نکل سکتے ہیں۔
عیدات کی ملافاقین آپ کسی انسان شخص سے ملک کے لئے گھر سے نکل سکتے ہیں جب وہ مر روا یو جب کونی کینتر بوم (اگر کینتر بوم کی ریتمائی کی تحت اجرارت دی گئی یو)، پاسپس، يا پستاک مین یو طبی اپوائمنٹ کے لئے ان کے ساتو جاسکتے ہیں۔
حیوانات کی فلاخ کی وجوبات آپ جانورنگ کے ببیدو کے وجوبات کے بناء بر، جسم مشورہ با علاج کے لئے ویتیرنر سروسر بر جانک کلک گھر سے نکل سکتے ہیں۔
اجتماعی عادات اور زندگی کے واقعات آپ اجتماعی عادات کے کسی مفام بر حاضر دبئ اور شرکت کرنے کے لئے، کسی جنازہ با موت سے متعلق کسی تقریر مین شرکت کے لئے، فرستان با کسی پیداکار پائ مین جانب گیر لئے، با شادا کو نظر مین شرکت کے لئے گھر سے نکل سکتے ہیں۔ آپ کو عائدات کالون کا محفوظ استعمال کا بار مین فومو ریتمائی کي بروز کرنی جانب اور آپ کو اینس گھر با سپورت بلل سے بار کسی کے ساتو گھل ملتا نہین جانب، شادون، جنابون اور مدنب، عقائد بر مینی با کسی کي موت سے متسلک بادگاز واقعات سب كا انحصار شرکت کر سکتے والون کى تعداد كى حدود بر ہي۔ مرید معقول غذار مورد نیست، مثال که طور بر آب فانویی دم دارد که کوبورا کریم، با رانشی املک خردند، بیجی، لشتگ یا کراپ بردن سیک متعلق سرگرمیان انگام دینی، با پیکنگ که مقصد که لئی به گهر سیک متعلق بین، با جد انتخابات با رفتن دم و دل که لئی معقول حد تک انسا کربا ضروری بود.
<div style="text-align:center;">
دوسره لگون سی ملنا حلنا
</div>
<watermark>
اقرار و احباب کسپته سماجی طور بر ملنا غیرقانونی بی جد تک کم وه آب که
گهرانی با سپورت بل کا حضنه بود، آب تفریحی با شوق قماعد که لئی گهر سی بار نین نک سکن (حسین بکن که سماجی مشتگ کلنین).
</watermark>
<div style="text-align:center;">
ایکسرسانتر کربا
</div>
آب کو این گهر سی بار گران و وال وقت کو کم سی کم کربا جانب. لکن آب ایکسرسانتر کلنین گهر سی بار جاسکت. به این دن من اکبار تک محصول بونا جانب، اور آب کو این مغامی علاقه سی بار سفر نین جانب. آب آوت ذور عوامی مقدم بر ورزش کرسکتین بین:
<ul>
<li>حدود اکلب</li>
<li>ان لگون کبسات هن که ساته آب ربنین بین</li>
<li>این سپورت بل با جانللا کنتر بل کبسات (اکر آب کو فانوی طور بر اسپانه کن چارت بو)</li>
<li>جانللا کنتر بل مین جبان آب جانللا کنتر فرام کرت بون</li>
<li>با جد آب اکلب بون تو کبسات دوسر ابل خان. که 1 شخص</li>
<li>کبسات.</li>
</ul>
اس مین دوزن، سانیکلنگ، واکینگ اور تیراکی شامل بین لیکن ان تک محدود نبین یا ون تو واتی ترینک جاری ره سکتی یا جب نک کم بر شخص ایک بی گهرانی با سیروث بل مین نه بو.
آوت ذور عوامی مقامات مین شامل بین: • باز، ساحل سمتر، عوامی دسترس والی دبی مصافات (کنتری سانان) جنگلات • عوامی باعاث (جان) آب ان مین داخل بونی کے لئی ادانتیگی کرین با نه کردین) • ورن والی مقامات • کمبلون کے میدان
پیروتی کهبلون کے مقامات کو بند کرتا ضروری ہے، منال کے طور پر:
تینس کورنس گولف کورسر سومنگ پولز
5 سال سے کم عمر کے بچے اور مستقل دیکھو بهال کے طلبگا ایک معذور شخص کلے 2 کنیرز اوٹ ذور اجتماع کی حد کے حساب مین شمار نبین کے جائیں۔
اگر (با آب کے دیکھو بهال کے تحت ایک فرد) کسی عارض مین مبتلا بین اور اپس صحت کو برقرار رہنے کے لئی آب کو معمول کے طلبگا گھر سے نکلتا ہوتا ہے- اس مین اگر آکے معاون علاقہ سے بار سفر کرتا ہد دن مین نکتے بار ورزش کرتا شامل ہوتا ہے- تو آپ اپسا کرسکتی بین۔
جب دوسرس افراد کے آس پاس بون اور آپ کے ابل خانہ نہ بون- جنس کا مطلب ہے آپ جن لوگون کے ساتھ ربن ہون - با آپ کا سیروث بل، تو یسا کسی بھی فرد سے 2 میٹر کے فاصلے پر رین۔ جب اس ممکن نہ ہو، وباں اضافی احتیاطی تدابیر (حیسے جبر کا ذہانیتا) کے ساتو 1 میٹر کے فاصلے پر بی رین۔
چجر کا ذہانیتا آپ کو بنت سارک انثر مفامات میں ججرہ ذہانیتا جائیں، حسے دکائی با عبادت کا حب اس کا مطلب نہ ہے کہ بر کوئی بل نہیں گرنا بون گی۔ آپ کا مطلب نہ ہے کہ بر کوئی بل نہیں گرنا بون گی۔
ایک سپورت نت ورک بھجو دو گھراران کو جوزنا نہ آپ دوسروں کو ساتو سپورت بل بن سکتے بن آپ ابلت کے فاقد کو بورا کرن: اگر آپ اصول پر عمل نہیں کرتے بین تو سپورت بل تشکل دینا قانون کے خلاف ہے۔
آپ کو سپورت بل سے ملی (اور ان کے ساتو رات گھرارن) کے لئے اپنے گھر سے نکالنے کی اجازت نہ تامین، اگر آپ سپورت بل تشکل دینے بین تو بینتر وباکا ہے۔ اگر اسی طرح خانہ کے ساتو بن جو مفامات طور پر رین تو آپ سے ابسلاعلاق مبن وارثس بهلین کی روک نہام مبن مدد ملے گی جبھاں زنداده لوگ متاثر بن۔
اگر آپ کسی ابسلاعلاق مبن رینی بین جبھاں کسی کی عمر 14 سال سے کم تو آپ جائلّت کتن بل پاسکتی بن۔ آس سے فلملی با دوستون کو
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<div style="font-size: 1.5em;">دوسری کهربائی کیساتا، غیر رسمی طور بر بجوان کی نگهداری فراین کرن کا موقع ملتا بی</div>
<div style="font-size: 1.2em;">آب کو ابین جانلائی کینر بل کیساتا سماجی مبل جول نبین رکهنا جانی، اور ابین جانلائی کینر اور سیورت بلز کو ابک بی وقت مین دیکهنی سی گریز کرن جانی.</div>
<div style="font-size: 1.2em;">سیورت بلز اور جانلائی کینر بلز کی لئی الگ الگ ریمانی موجود بی</div>
<div style="font-size: 1.5em;">آب کهان اور کب بنز کروبون مین مل سکتی بس</div>
<div style="font-size: 1.2em;">اب بهی انسی صوتین موجوتبین جن مین آب کو ابین ابل خانم با سیورت بلز بار دوسرون سے بنز کروبون مین ملب کی اجازت ب، لکن مسماجی مبل جول کلبلق نبین بلک، ان مفاصل کے لئی وونا جانی جن کے اجازت ب، ان صوتون کی مکمل فیرست فواقد و ضوابط مین شامل کي جانی گي، اور ان مین شامل بین:</div>
<ul>
<li><strong>کام کرن با رضاکاران</strong> با فلاحت خدمات فراین کرن کے لئی، جب ان آموار کو گھر سے سرانجام دنبلا نامعقول بواس مین دوسرس لوقون کے گھروں مين کام بهو شامل پوسکتا ہو ضروری بو- منال کے طور پر نتینو، صماجی کرن والى، بجوب اوفرمینکو موذد فرايتن کرن والى سوشل ورک، با كارگر افراد دوسرس لوقون کے گھروں مين محفوظ طرزتے سے کام کرنے کے بارے مين ریمانی ملاحظ، كرين، جبان ورک مشتکو کو نسبت نجی گھر با ناقم مين معقد بوئے کے ضرورت نبین بوئي تو ابس تنبین وونا جانی - منال کے طور پر، اجرک آپ ذائبت ترین سے مل سکتے بین، آپ کو آؤت ذؤ عوامی جمک من ابس کرنا جانی۔</li>
<li><strong>جالائی کینر بلز (صرف) بجوب کے دیدم بهالا ہے مقاصد کے لئی)</strong></li>
<li><strong>جبان تعليم، رجسترہ جانلائی کینر اور بجوب کے لئی زیربنگنے سرگرمون</strong> کے لئی ان خدمات ہے استعمال کرنے کي اجازت بون تعليم اور بجوب کي سرگرمون نک رسالاني محوده بون تعليم اور جانلائی کينر ہے</li>
<li><strong>مین مرید معلومات دیدنہ</strong></li>
</ul>
• ان حالات کے لیں جببی اس گھر میں نین رتی جببی جببی دونوب
والدین با سپریست رتی بیس
اصلي والدین اور کنتر مین رکھے گئے جبجوب کے درمیان اور کنتر مین موجود بین بناونو کے مامن راتی کا موقع دینے کے لئے مکمن فطرہ برگود لیپ وائل والدین کو کسی جببی با جوب سے ملے کے لئے جنید انس کے سیرد کرنے کا امكان بؤ سپشل سروس کے ذریم کسی دوسرسے کی بان کسی جببی با جوب کو نگیداشت مین رکھے با رکھے مین سپولت فرامر کرنے کے لئے اصلي والدین کبلنی
نگامی امداد فرامر کرن، اور جوت با پماری سے جببی، با نقصان کے خطر (شمول گھرلو رادتی) سے جببی کے لئے کسی انس شخص کی عابدتن کرنے کا لئے حوجو باز ربا، با کسی سپ ملے کے لئے حو سپتال، پاسپس پاک ہوم مین زیر علاج، با فلملی کا کسی رکن دوست ہا سانو مبتکل اوائونمتنث کے لئے جانچ کے لئے کسی فاونوں مدد دارکو نہواں کے لئے، جبس عدلات با جوری
سووس من حاضر نونا فوردار اضافہ کر انرشنگاہ يا امیرگشت ہا حرستنی مرارا کے اتدر احتمالات کے لئے
کسی، کمرو، وا ولترایل شخص کو نگیداشت کرنے بآمد فرامر کرنہ با نگیداشت مرارا والا کو ارام فرامر کرنہ لئے شناک بنا پا انس بن گنسی تفریر کبلنی، ہا صرف غیر معمولی حالات مین بونا جانچ آور ہا صرف 6 افراد تک محدود ہوا تجبر و نکمن کبلنی زیراد سپ رناده 30 افراد نک، وبنس (شنب) بدار) اور دوسرس مسلک رسمی تقاربت 6 افراد نک ہا گروب مین جاری ره سکنہ بین.
اصلت خبلزنور (اور آگ صروور) بو تو ان ہا كوج، با والدین -گارذبن آگ 18 سال سماً كم عمر بون - يا هو جو افيشل ابلت سپورتس پانهو هوا مین شامل بون - كبلنی مقابلة كرا او تریدت حاضر كرتا دوسرى گهر متقل بون مين سپولت فرامر كرتا سیورت گروپ جنینی دانی طور پر پلیوریونا یو ۱۵ شرکاء کی ساتو جاری ره سکنی بین جنینی بایمی امداد، تورابی با کسی به طرح کی امداد فرام کردن کی لئی باضابط طور بر اتمام کا گنا بو لکن انسن نجی گهر کی علاو کسی اور احاطه مین بونا جانی.
جنین کسی گروه مین کسی ابس فرد شامل کا جانی حسی استثنای حاصل بو (مثال کی طور پر، کونی شخص خوjo کوم کر ربا بو رضاکاران، خدمات اجامد دا ربا بو) و هم عاک طور بر اتحاد کی حد حسی مین شمار نبین کی جانی انس کا مطلوب یب، منال کی طور پر، اکن کاربرگ کسند خد کی خلاف ورزی کی بفرم کسی گهر مین جاسکتا یب، اگر وه کام کی لئی آت یوب، اور شادیدون مین ناخ خوان کو حد مین شمار نبین کا جانا.
اگر آب ضوابط توربین
اگر آب پز گروپ مین ملت بین تو پولس آب کے خلاف کاروانی کر سکنی بیر اس مین غیر قانونی اجتماعات کو منتشر کرا اور جرمان (مقره جرمان) کے نوس) جارو کرا شامل بین.
بلبل جرم کے لئی آب کو ۲۰۰ جرمانا کا نوس ديا جاسکتا ہے، اور بہر بر بار جرم کرنے پر دوکنوا بوت رہا ہے۔ اکثر آب 6400 نک۔ اکثر آب 30 سے زائد افراد بر منتشر ملے ایک غیر قانونی اجتماع منعکس کرتے بین، يا اس کے انعقاد مین شامل بین تو پولس 10,000 گرم جارو خارج کرسکتے ہے
ان لوگون کو بجانا جنینی کورونا وائرس سے زباده خطرة لاحق بو اگر آب طلب لاحظ سے کمرز (ولترایل) بین تو آب کو کورونا وائرس سے شدید ببمیرا کا زندگى خطره بوسکتا ہے جو لوگ طلب لاحظ سے کورونا وائرس سے خطرة سے شدید طور بر دوجار بین ان کلائن مرید معلومات دستبن بین، جو لوگ طلب لاحظ سے انثباي كمروز بین ان كو دواءي شروع بونت والي شيلزك گاندینس کی پیروی کرنی چاپنی - اور کام، سکول، کالاج با یونیورسیتی نبین جانا جانین آب کو گهر سے بار برداری و آلی وقت کو محدود کرتا جانا آب کو صرف مینکل ایوانتمینشن، اور ورزش کے لئے بی بار جانا جاپنی با اگر ببت ضروری بو.
کام بر جانا
اگر آب گھر سے معقول حد نک کام نبین کرسکتے بین تو آب کام کے لئے اپنے گھر سے بار جاسکتے بن۔ جبان لوگ ایسا نبین کرسکتے بین انبن انبن آپ کام کی جگہ نک سفر کرتا جاری رکھنا جانا آس مین وہ گھر شامل بن۔ لیکن ان نک محدود نبین بن، جو کہ کام ہے: • کرشنکل نبشتل انفراسترکجر • کسترکشن • مینوفیکچرینگ • جائلتذ کمتر اور تعلیم • ایم عوامی خدمات
بی ملک کو جلتنی رنین اور سیکٹر اور ایمبلانزر کو سپورث دینے کے لئے ضروری ہے۔
جبان آب کو ووسیر لوگون کے گھروں میں کام کرتے کی ضرورت بن- جسیس نبین، کلنتر یا کارکردگا، نو آب ہے کام کر سکتے بن۔ بصورت دنگر، آب کو نجھی گھر با گاڑائن ممن عام کلنتر اکثر ہوتے سے گزیرتے جانا جاپنی، جبان بر سکتا ہے۔ COVID-19 وائل محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونے والی محفوظ تدابیر مستعمل بن ہونे آجرون اور ملازمین کو آپ نک کام کي انتظامات بر تنادل خلاک كرتا جاپنى، اور آجرون کو گھر سے کام کرتا و آلئ انبن ملازمین کي سپولت كي لئي بر ممكن اقدام اثران جانی، بیشمول دور دراز سیکام کرنے کے قائل بنائی والے مناسب آئی تی اور آلت کے فراہمی جیبیان لوك گھر سے کام نہیں کرسکتی، وبا احروں کو ملازمنی کو عوامی ترانسپورٹ کے مصرف اوقات اور راستون سے بجتنے میں مدد کے لئے اقدامات کرتا جانی۔
اگر COVID-19 سیکوم کائینلائن بر سختی سے بر عمل کیا جانی تو منقلی کے خطرے کو کافی حد تک کم کا جاسکتا ہے۔ جن لوگوں کو زیادہ خطرہ لاحق ہو ان پر اضافی توجہ دینی جانی۔
سکول يا کالج جانا کالج، برآمد (رسپشن سے اگ) اور سیکندری سکول صرف وینرایل بجوجا اور کرشنکل فرکرز کے بجوجا کے لئے کہلائے رہنے گئے۔ دوسرا تمایم بجوجا فروز ہے وسط نک دور سے تعليم حاصل کرنے گئے۔
امتحانات ان حالات میں، بلان کے مطالع موسم گرم مکمل امتحانات کا منعقید بونا ممکن نہیں۔ اسی مطالعات سے محکم تعليم افکوال (Ofqual) کے ساتھ مل کر تيزیر سے مشورہ کرنا چاہتے ہوئے متعدد انظامات ترتب دینے گا ناک، طلباء کو منصفانہ بیشترفت کی سپوتین ملی۔ برواندز پیشہ ورانہ اور تکنیکی امتحانات جاری رکھنے بینجو جنوری مین وونیو بینجو فصل کرنے بینجو، انسپا کرنے درست بینجو。
يونيورسٹیان وه طلباء جو متدرج ذبل کورسر کے ترتب اور تعليم حاصل کر رہے بینجو انہوں نموسم بندی کے مطالع روبرو سیکوم جانی۔ • میپسین اور دندانسازی • مصامین جو طب / صحت سی منسلک بین • علم پیطرای (پترنری) • انجوکینس (ایندانی تربیت انسانه) • سونسل ورز • کورس زن که لیلی پروفسشنل، استشنور اور ریگولیتیر باذی (PSRB) که تشخیص ضروری بو اور با اکس انسی آزمایشگری بو جنوری کلینیک شده به اور جنبش دوباره شیندید نبین کا جاسکتا (اگر به آب بر لاکو بونا یا تو آب کی پونورستنی آب کو مطلع کرد که).
وابس آن وایل طلباء کو پونورستنی وابس پر دار تیست کا جانی جانی، با بطور دیگر انبن دس بن که لئی خودساخت علیحدجی اختیار کرنی جانی.
جو طلباء ان کورس مین نبین بین، انبن امکان کے مطابق وابن ربا جانی جوان بره موجود بین، اور اینب پونورستنی با کالح کے سپولت کے مطابق، ہم اکرم فروز کے وسط نے آپ نرم آلان شروع کرنی جانی، اس مین دیر عملی کورسز طالب علم شامل بن جو مذکورہ بلا فیرستمن نبین بین.
اس سے قبل بمبونورستنکو اس سلسلا مین بیداش شانکرکے بین کم کس طرح موسم بنا ہار تم من طلباء اعلی تعليم من نظمات وابس جاسکتے بین اس رتمانی مین نے بتا گا ہے کہ مموم سرما کے وقت ہے بعد اسے طلباء کو اعتماد کرنے لئی اعلی تعليم کے فرامش تنظمان کے مدد کرنے گے جنبش ممکن طور پر محفوظ طرفیق سے وابس آپ ناکا.
اگر آپ پونورستنکو مین ربن بین تو آپ تو گرم کے دوران آپ مستقل گھر او طلباء گھر کے درمایا گا بچھے حرکت نبین کرنی جانی.
ان طلباء کے لئی جو روپرو سپکھے گا آپ آپ نے رسمی تعليم با تربیت کے لئی جنبش ضروری ہو۔ اپنے ابل خاتم سے بنے غروبون مین مل سکھ ہو۔
طلاء کو رتمانی اور پندیدن پر عمل کرنے کي توغف كرنى جانى. جب بهى ممكن بو تو آب کو ان سے سماجی فاصله برقرار رکھنا جانی جن کیساتھ آپ نتیجہ روند ہوں۔
چائنلڈ کینر والدین اور کینررز چائنلڈ کینر تک کئی طریقون سے رسائی کو جاری رکھے سکتے ہیں۔
• ابتدا کی سالوں کی مراکز (نرسیرز او چائنلدماندرز کے بمشول) کھلے رہیں گی۔ • چائنلڈ ماندرزر کو معمول کے مطابق بجون کو آپ کی اجازت دینے جانی جاسوسیوں سکول کی عمر والے بجون کے اسکول کی عمر والے بجون (رسپسٹن) کے بمشول کے بجون کے بجون کو آپ کی اجازت دینے ماندرزر کو صرف ونرایل، بجون اور کینشکل ورکرز کے بجون کو آپ کی اجازت دینے جانی۔ • ونرایل، بجون اور کینشکل ورکرز کے بجیر رسپسٹن چائنلڈ کینر (بمشول رپ آروئنٹ کینر) کا استعمال جاری رکھنے سے والدین غیررسمی چائنلڈ کینر کے مقاصد کے لئے اک دوسرس جہاز ہے۔ • والدین غیررسمی چائنلڈ کینر کا ببل تشکل دہ سکتی بن، جب بج 14 سال سے معمول رکھنے سے بجلی پیدائی طور پر والدین کو کام رکھنے کا فائدہ بنائے ہوں۔ اور بجون کو آپسماجی رابطہ کلنل استعمال نہیں جاری جانی۔ • چائنلڈ سپورت بل مبن ربن سے نہیں مستفاد بل سکنر گا • نتیجہ خدمت فراوم جاری رکھنے سے نہیں مستفاد بل سکنر گا اندر
سفر آپ کو اپنی گھر سے نہیں نکلنا جانی جب تک کونی معقول عذر موجود نہ بوا (جس میں کام با تعليم کے مقادم سے متعلق). آپ کو سفر کرنا کی صورت تو آپ کو لولک رینا جانی - بعید اپنی گاٹ، قصیب با شیر کے جس حمایت میں آپ رینی بین وبا سے پار جانی سے گریز کرتا - اور اپنی مجتمعوی سفرن کی تعادو کو کم کرنا. جن وجوہات کی بنائے پر اپنی گھر اور علاقے سے نکل سکتی بین ان کی فہرست مین شامل بن، لیکن ان تک محدود نہیں بنیں:
• کام، جب آپ گھر سے معقول طور پر کام نہیں کرسکتے • تعليم نک رسائیو اور کئیر کی دم، داریان پوری کرتا • آپ کے سپورث بلل - با جائلّة کئیر کملتے اپنے جائلّة کئیر بلل - مین شامل افراد سے ملتا
سپتماخر، حیض اور دگر مذکل اوائتمینشن سے انسی ملاکاتنات حب آپ کو خدا، پیس پا یا آپ اپنی صحت کے بارے مین فکر مند بون صورت اشکا با خدمت خردین، لیکن جاناب بهی ممكن بو ہو آپ کے مقامی علاقے مین نوئي جانبن
اوت ذو وزرس. ہے جبان بهوی ممكن بو ہوند جلب چاکا جانا جانبن، لکن اگر صورت بو تو آپ اپنی علاقے مین تهوؤا فالم طے کرسکتے (مثال کے طور، برچھلہ جگم نک رسائی حصل کرنے کملتے)
اجانو کی دبکہ بالا اور وزرس، با وترنری خدمات کے لئے جانا
اگر آپ کئیر بلل سفر کرنے ضرور بو تو جبان بهوی ممكن بو ہوند جلب چاکا چاکا جانا جلانبن، اور آگا کی متصوص بندى کئیر او صرفوف اوان اور راستسو سے گریر کرنے اس سے سفر کی دوران آپ سماحج دوري بر عمل کرنے کے قابل بون گي۔
ایبی گھرانی با اینس سپورث بلل سے پارسکئیر کئیر کئیر بلل سے گریر کرنے كار شيندرگ سے معقل رسمانو ديكهمن.
دريچ سفر کرنے سے گریر کئیر كار شيندرگ سے معقل رسمانو ديكهمن.
اگر آپ سفر کرنے ہل تو بدل ترانسسورث كي ضورت بو تو آپ كو محفوظ سفر كي رسماني بر عمل كرنوا جانبن. بین الافوامی سفر
آپ صرف بین الافوامی سطح پر - یا یوک کے اندر - سفر کر سکنے بین جہان آپ کو بنائے فاونی وجوہ کی بنائے بر کھر سے نکلتے کی اجازت دی گئی تو، علاقو ازین، آپ کو اس ملک کے بیلک بیلکو بیندی صحت عام کی بذات بر غور کرنا جابجوب جب آپ حاصل ہون۔
اکثر آپ کا بیرون ملک سفر رکن رضوی بو (اور آپ کو فاونی طور بر اس کے اجازت پر، مثال کے طور پر، ہم، اگرچہ آپ اس جگہ بر واپس جا رہے جب جواب آپ بہل کے بولوں تو آپ کو ابتدای منزل مقصود میں لگو فواعد اوفر، کاممن ملتان ڈیٹلبلمینت آفس (ایف سی، ذی او) کے سفری مشور کو دیکھنا جائی۔
فی الحال بیرون ملک برطانیہ کے ریاستشوم کو فوری طور بر وطن واپس آئیں کے ضرورت نہیں تاں، آپ کو واپسی کے اظاظات کے لئے ابتدای ابتدائی با ترول آبریتسر سے بتا لگا لینا جائی۔
غير ملک ملک سفر نہیں کرنا جانبت جب نکا اس کی اجازت نہ تو اس کا مطلب پر کم آپ کو بالائے پر نہیں جانا جائی۔
اگر آپ برطانیہ آئے یوک پر نتو پور گھر واپس جاسکنے بین آپ کو بھ دیدکھنا جانبت کہ آپ کے منزل مقصود بر کونئی بیندین تو نہیں بین۔
گھر سے دور رات گزارنا
آپ اپنا گھر با جگہ، نہیں چھوز سکنے جب ان آپ جھنثان گزار رہے ہون با رات گارانے کبلے مقدم نہیں جب نکا آپ کے پاس انسا کردے ہوں کونئي معقول عذر نہ تو. اس کا مطلب پر ہم برطانیہ پر گھر واپس جاسکنے بین آپ کو بالائے پر نہیں جانا جائی۔
اجازت نہیں پر اس میں دوسرے گھر بیا کاروان میں رینا بھی شامل ہی، اگر آپ کی بنیادی ربانش گاہ نبی بی۔ اس میں کسی کے ساتو رینا بھی شامل ہے جس کے ساتو آپ نبی رینا لاہے کے، وہ آپ کے سیورت بلل مین شامل بون۔
آپ کو گھر سے دور رات گزارنے کی اجازت بی اگر آپ:
<ul>
<li>ابتدائی سیورت بلل سے مل رہے بنیادی ربانش گاہ پر واپس بنن جاسکتے</li>
<li>کو گھر منتفل کرتے وقت ربانش کی صورت بی</li>
<li>کو تجبر و تکفین بی متعلق، باذگاری تقرب مین شرکت کے لئے ربانش کی صورت بی</li>
<li>کو آکا کم مفاخر کے لئے، با رضاکاران خدمات فراوم کرنے کے لئے ربانش کی صورت بی</li>
<li>ایسا بچ بین جس کو اسکول يا کنترل لئے ربانش کی صورت بی</li>
<li>گھر شخص بن، پناه مالک رینا بن یا طور اپن وندرل شخص کے بناء کا تلاش مین بن (متال طور برگیرلو رباندی)</li>
<li>نامو کهلائے بن یا کا سیورت عمل، با والدین بن، اگر انتہائی 18 سال سے کم ہوا ترینت بی مفاخر، کلبنی آپ کی گھر سے بالر موجودگی ضروری بی</li>
</ul>
اگر واسطہ جانا جانید، تو عملي طور جنتا جلد ممكن آپ کو اپنے گھر واسطہ جانا جانید。
میمنان کو ربانش فراوم کرتے والا مقامات حبس ہوتا ، بی اندز بی او کاروان پارکس قانون مین طب شده خاص وجوبات کے بناء بر کھلے ره سکتے بن، پيشمول اس کے جب ممکن انداز اصلی ربانش گاہ پر واپس نبین جاسکتے، اس ممکن خاص کو اصلی ربانش گاہ طور بر استعمال کر رہا گھر، کو متقلق ہو دوبار ربانش کے صورت بو، فاوندی ضرورت مطالع خودساخت علاحدہ اختبار رینا بن، با صورت دنگل ربانشگا ہے بن دو نہ۔ کی نتیجہ مین کچھ خاص کاروبار اور مقامات کو بند انگلیش میں کچھ گھر بون۔
کرنے سے متعلق ریتمانی مین وجویات کی مکمل فیرست مل سکنے ہیں۔
ربائش فراہم کرنے والوں کو بهی گھر افراد سمیت ولنزایل گروپ کو ربانش فراهم کرنے کی لئے مفامی حکام کی سائنس پاکمنے کی سائنس کام کرنے کی ترغب دی جائی ہے۔
کئیر بوم کے وزن
کئیر بوم مین ملاقاتون کا ابتناک مستحکم سکرینون، ورتک بذل اور کھزکی کے بجھج ملاقاتون جسے انتظامات کی مدد سے بوسکتا ہے فریبی مبل والے یا آئندور ملاقاتون کی اجازت نہیں بهلاؤ کے صورت مین کسی قسم کے وزن کی اجازت نہیں بوسکتی۔
آپکو کوئید 19 کے دوران کئیر بوم کے بارے مین ریتمانی کو دیدکہ لینا جائین تاکہ معلوم کرنے کے ملاقاتن کسے ہی جائین۔ ربانش بار جائین ہے موقع پر لونگ سے آئندور بین مل سکتی ہن (متال کے طور پر، خاندانی گھر مین آپر رشت، دارون سے ملنے ہن) سپورٹ لونگ مین موجود افراد کلنگ الگ ریتمانی موجود ہن۔
جنازہ
جنازوں کو حاضری پر سخت حدود کی سائنس اجازت دار جائین ہن، آور سوانائ استثنائی حالات کے بھر صرف کوئید-19 محفوظ مقامات مین با اوثر ذووعامی مقامات مین بون جائين۔
تجنبر و تکفن مین زباد سے رابدہ 30 افراد نک شرکت کرسکتی بن۔ منسلک مدبو، عقدید بر مینی با باذگار واقعات جسسو ستون ستبنگ (تنصب سنگ) اور راکو کا بہپیرا بهن 6 افراد نک کي حاضری كي سائنس جاري ره سكتا ہي. كوني بهن كام كرنى والا اس حد مين شمار نبين بوت. ان لونگ كي ماين سماجی فاصله کی پیروی کی جانی چاپنی جو اکثر نبین ریتی بین با سیورت بین مین شرکت نبین بین.
شادی بیا، سول پارترشب او مذبی عبادات
شادیون اور سول پارترشب کی تقریبات کے اتفاق مین صرف 6 نک افرادون جانین. کوئی بهی کام کری و والا ان مین شمار نبین بوتا، به صرف غیر معمولی حالات مین بی متعفف بونی جانین، متال کے طور پر، ایک ابسی فورش شادی جبان شادکر کری والو مین سیک اکشند نبین بو اور اس کے مشتباں کے تووفع نبین بو، با وہ مفلوج کری والے علاج با زندگی کو بدلنے والے سرجری سے گردی والا بود。
شادی اور سول پارترشب کی تقریبات صرف کووید-19 محفوظ مقامات با آوت دور عمومی جگہوب مین بی بونی جانین، جب تک کم استثنائی حالات نمبوت.
عابدات گاپین آب کسی عابدات گاہ مین عابدات کللت حا سکنے بن. تاپ، آب کو اپنے گھر با سیورت بین بل برکس سے بهی اختلاط نبین رکھنا جانین. آب کو تمام اوقات مین سختہ کبسات سماجی فاصلہ فراز رکھنا جانین. آب کو عابدات گاوان کے محفوظ استعمال کے بال مین قوم رسمانی کے پیرو کرپن جانین.
kehil اور جسمانی سرگرمی انطور جم اور کهبل کی سپولت گاپین بند ریبن گی. آؤت ذور سیورتسر کورث، آؤت ذور، کولف کورس، آؤت ذور سونمنگ بول، تیر اداز/زداین/شونگ/زنجیر اور سواروئر کے مراعا بهد بونگ. معدوم افراد کللت متمن آؤت ذور کهبل جارو ریبن گی. ایلیت سیورنس جاری ره سکنی بین. ایلیت کوئل کی مرحلہ وار وایسی پر مزید ریمانتی موجود ہے
گھر کی منقلی آب آپ بھی گھر منقل کرسکنی بین آب کے گھر با "سیورنس بلبل" سے بار و آل افراد کو گھر منقل کرنے میں مدد نہیں کرتی جب تک کہ ہے بالکل صرف نہ بون۔
اسنتی اور مکانات کے کرائست کے اجتنبو اور ریموول فرمون کا کام جاری رہ سکتا ہے۔ اگر منقل کا ارادہ رکھنے بین تو آپ مکان دیکھنے کلینی جاسکتا بین۔
گھر کی منقل کے بارے میں فومن ریمانتی کے پیروی کرین ، جس میں سماجی دور، نہاوا کو اندر ہونے کا موقع دینے اور جھیر کو ذہابنے کے بارے مین مشورہ شامل ہے
مالی معاوینت آپ جبکئے بین رین ہے مالی مدد حاصل سکنی بین:
• مالی معاوینت کاروبانوں کے لئے بیکچر • ثناکر وائل پاندینوں کے وجو سے نئے نوپا والے کاروبانوں کے لئے • مالی معاوینت • کروان وائرس حاب رشتبن سکم کے تحت امبلان، وجر کلم کرین • جنک کرنے کا آپ سسلف امبلانٹ انکم سیورنس سکم کے تحت گرانٹ کلم کر سکنی بین • مالی مدد اگر آپ کاروبان وائرس کے وجو سے کام سے فارغ بین.
کاروبان اور واینوؤز کاروبان اور مفامات جن کا بند بونا صوری ہے
سماجی رابطہ کو کم کرتے ہیں، فوائد وصولا کی رو سے کچھ کاروبانوں کو بند کرتے اور کچھ کاروبان بر اشیاء اور خدمات کی میبا کرتے ہیں طریقے کے سلسلے میں پائیدار عائد کرتے ہیں ضروری بنی جن برسوس کا بند بونا صوری ہی ان کے مکمل فیرست اکلینک میں کچھ خاص کاروبان اور مقدمات کو بند کرتے سے متعلق ربنائی کی وجہویت مین مل سکتی ہیں لیکن ان مین شامل بین: • غیر ضروری خورده اشیاء، جیسے کئی اور گھربلو سامان کی دکاتین، گازٹون ہے شوروم (کراپہ ہے علاوہ)، جونٹ ہے دکاتین، دردی، تماکو اور وس ہے دکاتین، البتثرانک سامان اور مویشن فون کا دکاتین، نیلام گھر (سوائل موشوت) با زرعی سامان کے نلام (کی) اور غیر ضروری سامان فروخت کرتے والے منظور ہے استاد۔ به مقامات کلکت آپد کلکت (جبان سامان کا بدلے سے آرزو دیا جانا ہے اور احاطہ مین جمع کا جانا ہے) اور ذلیلوں سوسنر کے دردی مان جاری رکھنے سے بین. • ممتنع مال کا مفامات حبسی کرتے، باسترنگ، پت، اور سوسنل کلکت: تکا او (زمان 11 بجے نک) کلکت انداز، ذلیلو نهرو با ذلیلوں کے دردی کهارمین بین ہے فرامین کے راعت ہے سانپ۔ نمای کهارمین بین ہے جیرز (شمشول الکحل) ذلیلوں کے دردی فرامین کی جاسکنگ بین. • رابنشی مفامات حبسی بوتل، باسترنگ، گستر باوسر اور کمپسنتشن, سوائو خاص حالات کے، جبسی کا، ہسپس کا مرکز رابنشاگا کا طور پر عام کرتے ہي جبان و شخص گھر وابس نین جاسکنا ہي, بگھ افراد کو رابنشا کو امداد فرامین کرتے لى، جب عام كي مقاضا كي لى وابس ربا ضروري بى. • تفرجخى هكلون كي سبولت كابين، جيسى تفرجخى مراكز اوثر جم, سونمنگ بول، سيوترس كورث، فتنس اوذانس ستوديزوز،گھزر سوارى كى مراكز اوثر جهنس والى ديوارين اوثر گولف كورس. • تفریحی مفاهام جیسی نهیت، کنسرث بال، سینیم گهر، میوزیم اور گلبر، کیسینو، تفریحی آرکیتزر، بینگ بالز، پولنگ الیر، سکینتنگ رنگر، گو-کارانگ و پینتر، اندرول بلای اور سافت بلای مرکاز اور اورباز (شمشول انقلابی پارکس اور آراموبلینگ سینترز)، سرکس، میلون کی میدان، فن فنریر، مفاهام، اوتر پارکرز اور نهمی پارکر
• جانوران دلخس مفاهامات (جیسی جزئی گهر، سفارش پارکس، ایکوبیرم اور ولائلا لاف مرکاز)
• اندرول دلخس مفاهامات جیسی ناناتی باعثات، لوك ورن چی مرکاز اور لیندمارکس کو بهپ بند کرنا ضروری بی، اجرج ان احاطون کی برونوی میدان اوت ذور ورش کلنل کهل هر سکنی بین
• داتی نگیداشت کی سبولت کایل جیسی بال، بيونی، نینبگ او نبل سبلان، تینو برایر، سپار، مصاج پارل، حسم او جلد جهیدمن والی سرسوس کو بهپ بند کرنا بوگا چه خدمات دوسرسلوگون کی گهورون من فرامین نم کی جانس
• کمیوتئر مرکاز اور بلند بونگ سوانای محدود جهونتی جوهونتی سرگرمومو کي، جنسا کي ديل من نانا گنا بي. آنی تي او رذينتل سروسن تك رساني فرامير كي لن ي لينتريران بهي كهنلي هر سكنكي بين - مانك كي طور بر ان لوگون كي لن جن كي گهرون من يه نين - اور كلك ايست كلينك سروسز كيلن كي
ان مين سي كجه كاروار اور مفاهامات كوي محدود مستشنين سرگرمومو كي لن ي بهي كهلاء ريني كي اجازه بوغي. انكلينت مين كجه خاص كاروار اور مفاهامات كوي بنيد كري سي متعلق ريزمانين مين استثنات كي مكمل فهرست مل سكتي بي ليكن ان مين شامل بين:
• تعليم اور ترتيب - اسكولون كي لن ي كهيلون ، تفريجي اور كميوشي سبولولاس كا استعمال جهان بي ان معمول كي قرانمي كا حص
بون • ان بجور کی لنے چاندی کینر کے مقاصد والی زیر نگرانی سرگرمیاں جو شرکت کرنے کے ابل بون خون کا عطیہ دینے والا سیستم اور فون بینکنگ کی مزیدیات کرتا • طبی علاج فارم کرنًا • اعلیٰت کہلاؤ کو تریبت اور مفائد کرنے کے لئے (اندرور آؤت ذوर کہلاؤ کی سپولیات گلوپ مین)، اور پینش ور رقاص اور کوریوگراف کے امام کرنے کے لئے (فنس اور کاسس ستونزور مین) • سامعین کے بغیر تریبت اور مشق کے لئے (نهیت اور کنسرٹ بالون مین) • فلم اور تی وی فلم بنائے کے مقاصد کے لئے
وه کاروبان او رینیوز حو کھلہ ره سکتے بین
کووید-19 محفوظ بادان پر عمل کرنے بون دوسرس کاروبان او رینیوز کو کہلا رہنے کی اجازت بین ضروری انشاں اور خدمات فارم کرنے والا کاروبان کھلہ رہ سکتے بین. انکلیم مین جگہ خاص کاروبان اور مقامات کو بننے کرنے سے متعلق. رینمائن مین کاروبان گی مکمل فیرست مل سکتے بین، لیکن ان مین شامل بین: • خوراک کی دکاتن، سیر مارکتین، فارمیسیر، گاردن سنترز، بلندگ مرحتشس اور بلندگ پروڈکشنس کے سیلانزر او اف لانسنسل جیمن صروبو خوردہ فروش • صروبو خوردہ فروحت کرنے والا مارکت سنال بهی کھلہ ره سکتے بین • مرمت گی خدمات فارم کرنے والا کاروبان بهی کھلہ ره سکتے بین، جب ان گا بنائی گاام مرمت گی خدمات پينش کرنوا بین • پیرول سنستشن، جودکار (لبک دسنت نبن) كار واس، گازری گي مرمت واالى كاراج او ايم او تى خدمات، سائنس كي دكاني، اوثر ثيكسس اوفر گازيون گي كاراج واالى كاروبان • بینک، بلندگ سوسانیت، ذاکخانی، قليل مدتی قرض فرامرزم و اور رقم کی منتفیلی والی کارویار. • جنارون کی ذاتنیکترز • لاثرک اور درانی کلننز • میدنکل او ذنبتل سروسرز • جانورون کی دیگه بهال اور فلاح و ببود کی لن مصنوعات اور کهان • بینک کے پایار (ویث) اور خوردہ فروش • جانورون کے نفقط گ مرکز، بودذک کی سپولیاس، اور جانورون کی دیگه بهال کرنی والی (حمایتی مفاصل کے بجائ جانورون کی فلاح و ببود کے لن استعمال کے جاسکے بن) • رعیع سامان کی فرامین کی دکاتن • نقل و حرکت اور معذوری کے معاون کادانس • ستونرین اوزن شتری بيوشن کی سپولت کاپین • کاربارک، عوامی بيت الخلاص اور موثرین سروس و والى مقامات • آوت ذوکهولون کے میدان • ورزش کے لن نتائج باعث کے ببرون حضور اور بیرشنج والى مقامات • عبادت گاپس • کریمپورم اور فیربسن
صحت کی دیگه بهال اور عوامی خدمات: این اچس اور طبی خدمات کہلئ ربن گي، جن مين شامل بين:
• ذنبتل سروسرز, • آپتشنز, • آذنووجي سروسرز, • کاروبودي, • کاروبیرکترز, • اوستوپوتوتس • دیگر طبی با صحت کی خدمات، بیشمار دینی صحت سے متعلق خدمات
بم محفوظ طریق کسانہ فوری اور غیر بنگامی خدمات انجام دینے کے لئے این اچ ابس کی حمایت کر رہے ہیں، اور نہ ضروری ہے کہ جو بهی پر سمجھتا بو کر انہیں کسی بھی فرم کی طبی دیکھا بھال کی ضرورت ہے وہ آپن اور مدد حاظل کرتے۔
عوامی خدمات کی اکثریت جاری رہے گی اور آپ وباں جانے کے لئے گھر سے نکل سکنے گی۔ ان مین شامل ہیں:
• جاب ستشر بلس سائنس • عدالتین او روبویشن خدمات • سول رحسشر دفاتر • پاسپورث او ورزا خدمات • ممتازین کو فراوم کے جانے والا خدمات • فصل یا ری سانکلکگ کے مراکز • اب او تی حاضل کرتا، اگر قانونی طور بر گھر جهوٹنے وقت آپ کو گاژی جلانے کی ضرورت بو تو
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URDU
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0361-pdf
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Disclosure ref: 24 Sent: 9th May 2019
<img>CPS logo</img>
**Freedom of Information Act 2000 Request**
**Information regarding main collective agreements covering pay and conditions**
**Request**
1. **The names of the unions which are signatories to your main collective agreement covering pay and conditions;**
2. **The number of employees covered by the agreement;**
3. **A list of pay grades and current pay rates. Please indicate any agreed equivalence between the grade names used within the list and the following civil service grades:**
<table>
<tr>
<td>1)</td>
<td>Administrative Assistant (AA)</td>
</tr>
<tr>
<td>2)</td>
<td>Administrative Officer (AO)</td>
</tr>
<tr>
<td>3)</td>
<td>Executive Officer (EO)</td>
</tr>
<tr>
<td>4)</td>
<td>Higher Executive Officer (HEO)</td>
</tr>
<tr>
<td>5)</td>
<td>Senior Executive Officer (SEO)</td>
</tr>
<tr>
<td>6)</td>
<td>Grade 7</td>
</tr>
<tr>
<td>7)</td>
<td>Grade 6</td>
</tr>
</table>
4. **A copy of your latest pay settlement. Please provide the following information on how any pay increase has been applied:**
A) Is the paybill increase based on pay guidance set by the Treasury? B) Have there been any changes to the pay scales? C) Are progression payments being paid? D) Are performance-related bonuses being paid? If so, what are the arrangements for performance-related bonuses?
**Response**
- The Crown Prosecution Service (CPS) recognizes two trade unions for the purposes of collective bargaining arrangements for the pay and conditions. These are the Public and Commercial Services Union (PCS) and the FDA.
<watermark>INVESTORS IN PEOPLE</watermark>
Crown Prosecution Service, Information Management Unit, Floor 8, 102 Petty France, London SW1H 9AJ United Kingdom www.cps.gov.uk
- The latest pay settlement was for the two year period 2018 and 2019. The 2018 settlement covered all eligible employees who were in employment at the CPS on 31st March 2018 and who were still in our employ on the settlement date of 1st April 2018. The number of eligible employees covered by the agreement in post at 31st March 2018 was **5904**.
The 2019 settlement covered all eligible employees who were in employment at the CPS on 31st March 2019 and who were still in our employ on the settlement date of 1st April 2019. The number of eligible employees covered by the agreement in post at 31st March 2019 was **5947**.
- The current pay rates for the CPS equivalent grades outlined above and those for the previous year are provided in the attached document labelled as ‘Zimmerman – attachment A’.
For clarification, the following table shows the CPS grades and their Civil Service equivalent grade.
<table>
<thead>
<tr>
<th>CPS Grade</th>
<th>Civil Service Equivalent grade</th>
</tr>
</thead>
<tbody>
<tr>
<td>A1</td>
<td>Administrative Assistant (AA)</td>
</tr>
<tr>
<td>A2 and A2 Personal Secretary</td>
<td>Administrative Officer (AO)</td>
</tr>
<tr>
<td>A2 Paralegal Assistant</td>
<td>Administrative Officer (AO)</td>
</tr>
<tr>
<td>B1</td>
<td>Executive Officer (EO)</td>
</tr>
<tr>
<td>B2</td>
<td></td>
</tr>
<tr>
<td>Associate Prosecutor1 Associate Prosecutor2</td>
<td>Higher Executive Officer (HEO)</td>
</tr>
<tr>
<td>Crown Prosecutor</td>
<td>HFO to 31 March 19<br>Senior Executive Officer(SEO)<br>from 1 April 19</td>
</tr>
<tr>
<td>B3</td>
<td>Senior Executive Officer (SEO)</td>
</tr>
<tr>
<td>Level D<br>Legal Manager1<br>Senior Crown Prosecutor<br>Crown Advocate<br>Specialist Prosecutor</td>
<td>Grade 7</td>
</tr>
<tr>
<td>Level E<br>Senior Specialist Prosecutor<br>Legal Manager2</td>
<td>Grade 6</td>
</tr>
<tr>
<td>Senior Crown Advocate<br>Principal Crown Advocate</td>
<td>Grade 6</td>
</tr>
</tbody>
</table>
- The latest pay settlement is detailed in the attached document labelled as ‘Zimmerman – attachment B’.
- A) Yes, it adheres to published Civil Service Pay Guidance.
\<page_number>2\</page_number>
- B) Yes, the pay ranges for 2018-19 and 2019-20 are provided in the attachment labelled as 'Zimmerman – Attachment A'. The pay ranges for 2017 are provided in the attached labelled as 'Zimmerman – attachment C'.
- C) No, CPS ceased automatic time served pay progression with effect from 31 March 2014.
- The CPS does not pay performance related increases to employees in the above CPS grades (AA – Grade 6 equivalents).
Information Management Unit 020 3357 0899 IMU@cps.gov.uk
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ENGLISH
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4262-pdf
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Les Waters Senior Manager, Licensing Email: les.waters@orr.gov.uk
<img>OFFICE OF RAIL AND ROAD logo</img>
31 March 2020
Jane Kerr Planning & Access Manager Infrastructure Systems & Performance 25 Duncrue Street Belfast BT3 9AR
Dear Jane,
Northern Ireland Railways Company Limited (NIR): Network Statement 2021
I am writing to conclude ORR's review of NIR's 2021 network statement, as required of us under The Railways Infrastructure (Access, Management and Licensing of Railway Undertakings) Regulations (Northern Ireland) 2016 (the Regulations).
We commented on your November 2019 provisional version on 11 December 2019, and discussed subsequently some of the key points at your offices at the beginning of February 2020.
Overall, we consider the 2021 network statement to be a good step forward for NIR. It includes clearer information and we are satisfied that Section 6 (Charges) is on a firmer footing. In particular, your Minimum Access Charge tariff of £0.006 per tonne-kilometre – calculated originally using the CATMIL model – is still borne out through your cost calculations. There remains, however, the query as to whether this charge should be index-linked.
We also note the improvement in section 3.6, relating to Service Facility Descriptions, and that the reader can now access information about your light maintenance depots through an indirect hyperlink. There are no third party service facilities on your network.
Article 3.3 of Regulation (EU) 2016/545 requires the publication of a Framework Capacity Statement, but we note that one is not included. If you consider that you are not required to produce such a statement owing to the length of your access contracts not exceeding one timetable period, please can you make this clear in subsequent versions.
We are continuing to take a pragmatic and proportionate approach to our controlling role and we are not aware of any competitive situation in Northern Ireland to indicate that we should direct you to make changes to your 2021 published network statement.
I am attaching a Word copy of your published network statement that includes some detailed points we have marked for you to take into account when preparing the 2022 version.
Finally, noting that the RailNet Europe common template changed at the end of 2019¹, we anticipate your provisional 2022 version will follow that format.
I am copying this letter to John Glass and Ciaran Moore. In line with our commitment to transparency, we will place a copy of this letter on our website.
Yours sincerely, <signature>Les Waters</signature> Les Waters
______________________________________________________________________
¹ See http://me.eu/wp-content/uploads/RNE_NS_Common_Structure_TT_2022.pdf
Page \<page_number>1 of 1\</page_number>
Head Office: 25 Cabot Square, London E14 4QZ T: 020 7282 2000 orr.gov.uk
INVESTORS IN PEOPLE | Silver United Kingdom Unlisted Silver United Kingdom Unlisted Silver United Kingdom Unlisted Silver United Kingdom Unlisted Silver United Kingdom Unlisted Silver United Kingdom Unlisted Silver United Kingdom Unlisted
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ENGLISH
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2618-pdf
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Future Commissioning of London HIV Prevention Services Project Steering Group
# London HIV Prevention Mapping
This report was commissioned by the Association of Directors of Public Health (London) and written by Andrew Billington and Fraser Serle Paul Fraser Associates
<img>A circular logo with the text "ASSOCIATION OF DIRECTORS OF PUBLIC HEALTH" around the edge, and a stylized medical cross in the center.</img> <img>LONDON COUNCILS logo, featuring a stylized map of London with the text "LONDON COUNCILS" below it.</img> In February 2013 the Leaders’ Committee at London Councils recognised the shortcomings of the Pan London HIV Prevention Programme (PLHPP) approach to HIV prevention. In response, the Association of Directors of Public Health (ADPH) London, working with London Councils, designed the Future Commissioning of London HIV Prevention Services (FCLHPS) Project to oversee a London-wide needs assessment over the summer of 2013. The FCLHPS project included six work streams:
- Epidemiological review
- Evidence review update
- A Call for Evidence
- Stakeholder engagement
- Segmented insight research
- Mapping of current HIV prevention.
The overall findings of the needs assessment are published in the report: “HIV Prevention Needs Assessment for London” (November 2013). This report is the output of one of the six underpinning work streams, and focused on the mapping of current HIV prevention. ADPH London and London Councils will develop an options paper for a meeting of the leaders of the 33 councils in London, due to take place in November 2013. THE FUTURE COMMISSIONING OF HIV PREVENTION IN LONDON
London HIV Prevention Mapping
A REPORT FOR THE ASSOCIATION OF DIRECTORS OF PUBLIC HEALTH LONDON
October 2013
Andrew Billington, Fraser Serle
<img>PAUL FRASER ASSOCIATES</img> [API_EMPTY_RESPONSE]
1. CONTEXT
In February 2013 the Leaders Committee at London Councils recognised the shortcomings of the Pan London HIV Prevention Programme (PLHPP) approach to HIV prevention. In response, Association of Directors of Public Health (ADPH) London, working with London Councils, designed the Future Commissioning of London HIV Prevention Services (FCLHPS) Project to oversee a London-wide needs assessment over the summer of 2013.
The FCLHPS project included six work streams:
- Epidemiological review
- Evidence review update
- A Call for Evidence
- Stakeholder engagement
- Segmented insight research
- Mapping of current HIV prevention
The overall findings of the needs assessment are published in the report, “HIV Prevention Needs Assessment for London” (November 2013). This report is the output of one of the six underpinning work streams and focused on the mapping of current HIV prevention. ADPH London and London Councils will develop an options paper for a meeting of the leaders of the 33 councils in London, due to take place in November 2013.
\<page_number>1\</page_number>
Future Commissioning of HIV Prevention in London. London HIV Prevention Mapping ... **2. INTRODUCTION**
Since April 2013 the responsibility for sexual health promotion and HIV prevention commissioning has sat with Local Authorities. This report describes a high level mapping of HIV prevention spend for London which includes spend on locally commissioned provision, pan-London commissioned provision, and nationally commissioned provision. HIV Prevention England (HPE), the national HIV prevention programme for England, aims to deliver a nationally coordinated programme of HIV prevention work with UK-based African people and with gay men/men who have sex with men (MSM). This programme will bring together campaigns, online services, local work and policy work.
Local Authorities are responsible for HIV prevention and sexual health promotion, open access genitourinary medicine and contraception services for all age groups. This includes services commissioned from general practice and pharmacy, such as long acting forms of contraception, chlamydia screening, and emergency hormonal contraception.
The HIV prevention mapping exercise endeavoured to:
- Map HIV prevention services for 2013-2014 commissioned through local authorities in London; and
- Map HIV prevention spend targeted towards London, as delivered by HPE.
The mapping does not attempt to map HIV prevention spend in London funded from non-statutory sector sources. HIV treatment and care, health services for prisoners, sexual assault referral centres, or other sexual health services commissioned by either NHS England or Clinical Commissioning Groups are not within the scope of this mapping exercise.
This mapping exercise took place between August and October 2013.
\<page_number>2\</page_number>
Future Commissioning of HIV Prevention in London. London HIV Prevention Mapping 3. METHODOLOGY
The following methods were used:
- All Local Authority HIV commissioners and DsPH were requested to complete a survey identifying: (i) spend on HIV prevention activity for 2013-2014; (ii) population groups targeted; and (iii) interventions or programmes commissioned. Non-respondents or respondents who submitted incomplete returns were further contacted in an effort to obtain a complete picture of spend for London; and
- Data on the HPE programme was requested from to the Department of Health. This request was forwarded to the Terrence Higgins Trust (THT) as the HPE programme lead.
4. LIMITATIONS
The process of trying to identify and quantify local spend has highlighted considerable variations in the way Local Authorities categorise or define commissioned HIV programmes and services. It has also highlighted challenges in disaggregating spend on HIV prevention where this is included in contracts for broader interventions or services.
In their submissions, Local Authorities did not separately identify spend on primary and secondary HIV prevention interventions, and social care and support services/programmes for people living with HIV (PWHIV) were also included (the latter often having elements of secondary HIV prevention). As a consequence, the mapping includes spend on interventions which are primarily focused on social care and support for PWHIV, rather than HIV prevention itself.
There are also primary HIV prevention components within Locally Enhanced Services (LES), Genito-Urinary Medicine (GUM) and Contraception and Sexual Health (CaSH) contracts. Respondents reported it to be difficult to identify the primary HIV prevention components of these services and consequently the related spend, with much HIV prevention activities, is integrated into services addressing the wider sexual health needs of service users.
Some Local Authorities have integrated HIV prevention spend and activity into other areas of health, for example, teenage pregnancy, sexual health, and substance misuse. These Local Authorities found it difficult to disaggregate this spend.
For these reasons, figures in this report must be treated with considerable caution and only regarded as indicative. It is likely that they overestimate spend on HIV prevention due to the inclusion of Local Authority spend on a wider range of services of which HIV prevention is one element.
\<page_number>3\</page_number>
Future Commissioning of HIV Prevention in London. London HIV Prevention Mapping 5. FINDINGS
HIV prevention services in London are currently funded via: (i) Local Authorities’ public health grant to fund local activity; (ii) the PLHPP (which in turn is funded by Local Authority contributions from their public health grant, weighed according to each Local Authority’s share of prevalent infections); and (iii) the HPE programme, funded by the Department of Health.
Responses to the survey indicate that Local Authorities found it problematic to identify specific HIV prevention spend and activities. This may be partly a result of there being no agreed shared definition for what constitutes HIV prevention, or a common commissioner data set. Of the activity included in this mapping, the current PLHPP and HPE programmes stand out as those areas/services that can be clearly defined as HIV prevention activity.
Based on the information provided the reported figure for total HIV prevention spend in London is approximately £12.5million during 2013–2014.
Appendix 1 sets out the for results of the mapping in more detail:
- Table 1: HIV Prevention Mapping: top line spend against target groups; and
- Table 2: HIV Prevention Mapping: spend against interventions.
5.1 LOCAL AUTHORITIES
contentious, and concerns were raised as to the variance in commissioning expertise, There is a range of commissioning arrangements in London for HIV prevention. Whilst most Local Authorities commission individually, some maintain joint commissioning arrangements with other Local Authorities. Local Authority commissioned programmes for HIV prevention identified through this mapping have an estimated total spend of £10.5m.
Some Local Authorities do not make arrangements for specific primary HIV prevention commissioning and contracting, having integrated HIV prevention into other areas, most frequently sexual health services, but also blood borne virus, reduction/harm minimisation services and programmes. Therefore, most commissioned HIV prevention interventions are integrated HIV and sexual health and with other areas, for example, mental health and general health improvement.
Spend by local authority, where information has been supplied, demonstrates that:
- The largest spend by target population group is for people living with HIV, totalling approximately £3.8m; this figure represents spend primarily on secondary prevention and HIV social care and support services, rather than primary prevention;
- The second largest category of spend was for young people (approximately £1.9m);
- The spend on African communities is approximately £1.6 m;
- Spend on interventions or services targeting MSM at a local level amounts to approximately £795k although this is supplemented by London-wide activities through the PLHPP; and
- For a significant proportion of spend, the target population could not be readily specified in this way.
In terms of spend by type of intervention; condoms and HIV testing account for £959k and £843k respectively of identified spend.
Future Commissioning of HIV Prevention in London. London HIV Prevention Mapping \<page_number>4\</page_number> 5.2 PAN LONDON HIV PREVENTION PROGRAMME
Each London Local Authority currently contributes to this programme. The current PLHPP spend is £103m. There are four contracts that focus on delivering: (i) group work; (ii) health promotion interventions; (iii) counselling; and (iv) condoms, all targeting MSM. Individual Local Authority contributions are based on the Survey of Prevalent HIV Infections Diagnosed (SOPHID) figures. Whilst SOPHID data remains the best way to calculate “fair share” contributions by London Local Authorities to the PLHPP, there is a need to update these calculations based on the most recently available prevalence data. The current allocations are based on 2008 data.
5.3 HIV PREVENTION ENGLAND
The HPE programme is funded by the Department of Health for three years from 2012 to 2015. It is managed by THT, supported by a team of five sub-contractors drawn from the voluntary, public and private sectors:
- Black Health Agency For Equality;
- London School of Hygiene & Tropical Medicine;
- MBARC;
- NAM Publications; and
- Yorkshire MESMAC.
The government has committed the equivalent of £2.45m per year to HPE. It is planned to spend about 35% of this on campaign delivery and online services, 35% on local services, 15% on development and engagement work, and the remaining 15% on monitoring and evaluation. HPE report that £955k is spent with specific benefit to London, equivalent to about 39% of the total £2.45m.
HPE used the following indicators to determine where spend in London may be most beneficial:
- Diagnosed prevalence of HIV of > 2 per 1,000 population aged 15–59; and
- Number of individuals with a late diagnosis between 2008 and 2011 > 50.
In addition, the population receiving care in the target area was analysed to determine whether the area was a priority for either black African or MSM investment or black African or MSM investment. This was calculated using a percentage indicator of >60% for either population. Where both populations were 40–59%, it was recommended that both were targeted.
Interventions are commissioned as follows:
- HPE MSM programme: targeting is done by risk behaviour and by the approach needed to reach the population taking that risk behaviour. The intervention commissioned is the one that evidence has shown is most effective for that behaviour and / or that population. This means that the setting is variable, as they have not commissioned by
\<page_number>5\</page_number> location. Many clinics, gay venues, saunas, etc., are being visited but this information is reported to HPE after the intervention has taken place; and
- HPE African programme: delivery of interventions is undertaken in a variety of settings frequented by Africans and include commercial venues, community centres, educational, faith, and non–health organisations (e.g. refugee groups) and clinics.
**6. OBSERVATIONS**
As a proportion of total spend identified in Appendix, including PLHPP spend and HPE spend, the majority of spend by target group is on PWHIV. However, the majority of this spend is on care and support services, which include elements of secondary prevention of HIV. Excluding spend on PWHIV from the total, the majority of spend is on MSM (17%) followed by African Communities (16%) and young people (16%). It should be noted that African people and MSM make up the majority of PWHIV living in London (34% and 47% respectively, taken from the Review of HIV Epidemiology in London for the Pan London HIV Prevention Needs Assessment, PHE, October 2013). Thus the majority of spend on HIV services in London is likely to be on services or interventions that are accessed by these groups.
The lack of detail on the types of interventions commissioned make it difficult to identify which are the most commonly commissioned. However, excluding spend on PWHIV, general sexual health interventions with young people (10%) and condom distribution (10%) account for the largest proportion of HIV prevention spend, with HIV testing ranking third (7%).
Figures supplied indicate that total spend on the HIV Prevention England programme is £2.45m of which £955,000 (39%) is spent in London; £290,474 (30%) of that is currently committed to local engagement activities.
Because of the challenges noted in this report associated with accurately identifying and quantifying spend on HIV prevention by Local Authorities, it is not possible to make any comment on comparative spend between Local Authorities nor to readily understand the extent to which spend reflects local need e.g. HIV prevalence rates. It is also not possible to make an assessment of the value of HPE activity in any Local Authority, until the post intervention activity monitoring data has been reported.
\<page_number>6\</page_number>
Future Commissioning of HIV Prevention in London. London HIV Prevention Mapping APPENDIX 1.
**Table 1: HIV Prevention Mapping: top line spend against target groups (£1,000's)**
| Total Borough Spend | PLIPP Spend | HPE Spend | Total | |---|---|---|---| | African Communities | 1627 | 795 | 931 | | Young People | 1994 | 494.5 | 3817.5 | | Sex Workers | 323 | 367 | 494.5 | | Total | 3550 | 2093 | 1594 |
**Note 1:** HPE spend does not include spend on management co-ordination, development and engagement work and M and E. **Note 2:** PLIPP spend does not include management costs.
**Table 2: HIV Prevention Mapping: spend against interventions (£1,000's)**
| Total Borough Spend | PLIPP Spend | HPE Spend | Total | |---|---|---|---| | Social and Community Promotion General | 2441 | 881 | 3322 | | Social and Community Promotion General (Community) | 2441 | 881 | 3322 | | Social and Community Promotion General (General) | 2441 | 881 | 3322 | | Social and Community Promotion General (Social and Community) | 2441 | 881 | 3322 | | HIV Testing Services (General) | 2441 | 881 | 3322 | | HIV Testing Services (General) (Community) | 2441 | 881 | 3322 | | HIV Testing Services (General) (Social and Community) | 2441 | 881 | 3322 | | Condom Distribution (General) | 2441 | 881 | 3322 | | Condom Distribution (General) (Community) | 2441 | 881 | 3322 | | Condom Distribution (General) (Social and Community) | 2441 | 881 | 3322 | | Training and Development of Workers (General) | 2441 | 881 | 3322 | | Training and Development of Workers (General) (Community) | 2441 | 881 | 3322 | | Training and Development of Workers (General) (Social and Community) | 2441 | 881 | 3322 | | Reduction of Unprotected Sexual Intercourse with HIV Positive Partners (General) | 2441 | 881 | 3322 | | Reduction of Unprotected Sexual Intercourse with HIV Positive Partners (General) (Community) | 2441 | 881 | 3322 | | Reduction of Unprotected Sexual Intercourse with HIV Positive Partners (General) (Social and Community) | 2441 | 881 | 3322 |
Total: £60,000 PLIPP Spend: £60,000 HPE Spend: £60,000 Total: £60,000
Notes:
- This table shows annual spend against management co-ordination, development and engagement work and M&E.
- Note that this table includes spend on management co-ordination, development and engagement work and M&E.
\<page_number>7\</page_number> <img>PAUL FRASER ASSOCIATES</img> www.paulfraserassociates.com
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<img>The National Archives logo</img> The National Archives
# Freedom of Information, Copyright and Copying Of records held in archives
Published: February 2016
<img>OGL logo</img>
© Crown copyright 2016
You may re-use this information (excluding logos) free of charge in any format or medium, under the terms of the Open Government Licence. To view this licence, visit nationalarchives.gov.uk/doc/open-government-licence
Where we have identified any third-party copyright information, you need to obtain permission from the copyright holder(s) concerned.
This publication is available for download at nationalarchives.gov.uk. **Introduction**
The purpose of this guidance is to distinguish between the communication of information held by public authorities under Freedom of Information legislation, any subsequent re-use of that information and providing copies of material in archives. Making use of a copyright work without the permission of the copyright owner will normally infringe copyright; however, in certain circumstances requesting permission is not necessary.
**Communication of information under the Freedom of Information Act**
Under the *Freedom of Information Act 2000* (FOIA) each public authority has a legal obligation to make information available on request and to maintain a Publication Scheme about their activities. Publication Schemes provide details of information which authorities publish or intend to publish.
The presence of copyright, including third party copyright, does not prevent the disclosure and communication of information in response to Freedom of Information requests nor does publishing information on a publication scheme. Copyright does not act as a statutory bar to disclosure for the purposes of section 44 of FOIA. This is because section 50(1) of *Copyright, Designs and Patents Act 1988* (CDPA) provides that “Where the doing of a particular act is specifically authorised by an Act of Parliament, whenever passed, then, unless the Act provides otherwise, the doing of that act does not infringe copyright”.
Responding to an FOI request constitutes an act specifically authorised under an Act of Parliament. Consequently communicating information to a requester under FOIA will not infringe copyright. The same principle applies for information communicated under the *Environmental Information Regulations 2004* (EIR). Communicating information under FOIA is free from conditions or restrictions in order to facilitate disclosure, however, copyright will still subsist in the information provided. Since copyright would not be infringed, archives do not require a declaration process where communicating information in response to an FOI request as they would in other circumstances to provide copies of copyright material (see section on Declarations). For further guidance from the Information Commissioner about FOI requests and copyright see **ICO Intellectual property rights guidance**
**Use of information provided by FOI - Copyright protection**
Information provided in response to an FOI request or listed in Publication Schemes, may be subject to copyright protection. The supply of documents under FOI does not automatically give the person or organisation who receives the information a right to re-use the documents in a way that would infringe copyright. The person who receives the information under FOI is obliged to respect the rights of the copyright owner. If they do not, the copyright owner can seek damages or an injunction for any infringement of copyright. Public authorities may advise the applicant if the information requested under FOI is subject to copyright protection where known, however it is the responsibility of the applicant to ensure they do not infringe copyright. **Crown Copyright and Open Government Licences**
Details of the arrangements for reusing Crown copyright material can be found at [Crown copyright](https://www.gov.uk/crown-copyright). The re-use of Crown copyright information and Crown database rights are licensed through the Open Government Licence (OGL). The OGL is a simple set of terms and conditions for the re-use of a wide range of public sector information free of charge. Further information about the OGL is available at [licensing for re-use OGL](https://www.gov.uk/government/publications/open-government-licence).
The Freedom of Information Act covers the wider public sector so not all public authorities’ information will be Crown copyright. For a list of Crown bodies see [Crown bodies](https://www.gov.uk/government/collections/crown-bodies).
Crown bodies and archives holding Crown material can license its re-use under OGL without any need for approval. Other licence terms require a delegation.
**Public Sector Information**
Any information, whatever its form – including print, digital or electronic, and sound recordings – produced, held or disseminated by a public sector body is considered public sector information. This includes an enormous range of corporate information such as reports and financial data, mapping, codes of practice, public records, legislation, statistics, video, press releases, local planning and tourist information, artefacts, publication schemes, and so on.
Enabling the re-use of public sector information aims to realise economic, societal and democratic benefits in permitting re-users other than the originating public authorities to create new products and services using official information, thereby stimulating economic activity, and to increase the efficiency and transparency of public functions. Accessible information which is produced, held or disseminated by the public sector body must be made available for re-use (unless it is otherwise restricted or excluded). Common examples of restrictions and exclusions include third-party copyright exclusion and the protection of personal data. All public sector bodies should make clear when granting access to information if there are any restrictions on re-use.
**PSI implementation guidance for public sector bodies**
The 2015 Re-use of Public Sector Information Regulations do not apply to documents held by public service broadcasters, educational research or most cultural establishments. They did, however, bring archives together with museums and libraries within the scope of the regulations. Archives may, rather than must, permit re-use of documents in their collections. Refusals to give permission to re-use may not be discriminatory, and such decisions can be challenged. Archives must allow re-use of information that was created by them or that they hold on behalf of others, including the archives themselves. Where re-use is permitted for more than one party, including by the archives, it must be on the same terms and conditions (non-discriminatory). Archives can charge to cover the cost of collection, production, reproduction, preservation and rights clearance together with reasonable returns on investment. They may decide to make exclusive arrangements to re-use information. The Regulations recognise that archives and other cultural bodies have particular requirements regarding their need to make exclusive arrangements when digitising information. Whereas exclusive arrangements generally are banned, there is an exemption covering archive digitisation projects. There is further guidance on this in the PSI implementation guidance for cultural sector bodies.
Documents are exempt from the regulations where copyright does not belong to the public sector body or the information is not accessible under FOI. Archives should be very clear in any contractual relationships where copyright belongs. Cultural sector public bodies are required to be transparent about what information can be re-used, the pricing of it, and the terms and conditions on which that re-use can take place. PSI implementation guidance for the cultural sector
**Public Records** Any public record open to public inspection may be copied and a copy supplied without infringement of copyright in line with section 49 of CDPA. Additionally, section 47 of CDPA permits copying of material that is open to public inspection pursuant to a statutory requirement (or is on a statutory register), in certain circumstances, and section 48 of CDPA permits copying of material communicated to the Crown in the course of public business, in certain circumstances. Copyright material held by public bodies
**Third Party Copyrights** Not all information provided in response to FOI requests, listed in Publication Schemes and held by archives will necessarily be in copyright owned by the public authority. It will, therefore, help researchers if any such material is identified together with details of who owns the copyright, where known. Authorisation to re-use copyright material not owned by the public body or Crown should be sought from the copyright holders concerned.
**Declarations** The Copyright, Designs and Patents Act has been changed to make it easier and cheaper for cultural institutions like archives to use, share and preserve their collections. An archivist who is supplying a copy outside FOIA must ask a researcher to declare that they are doing non-commercial research; this can now be done electronically (for example, an electronic copyright declaration form could be signed using a typed name and check-box system). Exceptions to copyright: Libraries, Archives and Museums
Further information on copyright and exceptions to copyright can be found on The Intellectual Property Office’s website at IPO guidance – exceptions to copyright
It is always advisable to check that any copying of copyright material is permitted.
**Other Forms of Intellectual Property Rights (IPR)** Most information falling within the scope of FOI is likely to be covered by copyright. It is conceivable that some of the information supplied under the terms of the Act could relate to specific forms of intellectual property, e.g. patents and trademarks. Information on such Intellectual Property Rights can be found on the website of the Intellectual Property Office.
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GREATER LONDON AUTHORITY
LONDON BOROUGH COUNCIL ELECTIONS
22 MAY 2014
<img>A close-up of a ballot paper with colored squares and a pencil.</img>
[API_EMPTY_RESPONSE]
LONDON BOROUGH COUNCIL ELECTIONS 22 MAY 2014
GREATER LONDON AUTHORITY
<page_number>ii</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Published by:
**Greater London Authority**
Intelligence Unit
City Hall
The Queen’s Walk
More London
London SE1 2AA
www.london.gov.uk
email datastore@london.gov.uk
enquiries 020 7983 4100
minicom 020 7983 4458
Follow us on Twitter at:
http://www.twitter.com/LDN_data
Authored by Gareth Piggott.
This and other elections reports are available on the London Datasore at:
http://data.london.gov.uk/elections
Contains Ordnance Survey data
© Crown copyright and database rights 2014
Copyright:
**Greater London Authority**
September 2014
ISSN 1479-7879
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
iii
**CONTENTS**
v Introduction
vi State of the political parties in the new councils
viii Maps
xv Summary of election facts and figures, 2010
xvi Numbers of candidates and votes by borough
xvii Share of votes by borough
xviii Number of candidates and votes by party
xix Turnout and main party statistics
xxv Commentary
xxx Borough by borough summary
xxxvii Directly elected Mayors
xlvi The European elections
lii Technical notes
1 Results
193 Ward voting statistics
227 Borough votes summary
228 European election voting statistics, London boroughs
233 Parliamentary constituency summary
237 Full list of candidates in the 2010 election
252 Map of London borough boundaries
253 Previous publications on elections in London
iv LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>v</page_number>
# INTRODUCTION
With the aim of making the democratic process as transparent as possible to the London electorate, this report includes a great deal of detail on every aspect of the 2014 London Borough council general elections. No other single volume presents the full results and election statistics from the 32 London boroughs enabling the reader to analyse and compare the results across London in one place.
The report presents data for every candidate in every ward (excluding the City of London which operates on a different electoral model). Summaries are provided in the form of maps and tables, and to make comparisons easier, they mostly match those included in the 2010 report with a few useful additions. Results of all council by-elections between the general elections in 2010 and 2014, as well as details of the elections in the four boroughs that directly elect a mayor, are also presented here.
The borough elections of the 23 May 2014 took place on the same day as the European parliament election for the UK, 50 years after the first borough elections took place in 1964. However, the borough elections four years ago were held on the same day as the general election, and turnout in 2010 was 62 per cent but in 2014 and this fell to 39 per cent, which meant around 2.3 million Londoners voted – over 1.2 million fewer than last time.
To continue the recent trend, at 6,951, more candidates stood for election in 2014 than in any previous borough election. This was 115 more than in 2010, which itself was the previous highest and 437 more than in 2006.
Further information about what is included and how to use the report can be found in the Technical Notes section on page xlviii.
This is the latest report in a long series of council election reports dating back to 1964, all of which are currently available on the London Datastore at: http://data.london.gov.uk/elections
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
State of the political parties in the new councils
| Borough | CON | LAB | LD | REA | THF | UKIP | CRE | IND | Total |
|---|---|---|---|---|---|---|---|---|---|
| Barking & Dagenham | 51 | | | | | | | | 51 |
| Barnet | 32 | 30 | 1 | | | | | | 63 |
| Bexley | 45 | 15 | | | 3 | | | | 63 |
| Brent | 6 | 56 | 1 | | | 2 | | | 63 |
| Bromley | 51 | 7 | | | | | 4 | 2 | 60 |
| Camden | 12 | 40 | 1 | 1 | | 789999999999999999999999999999999999999999999999999999999999999999999999999999 |
| Croydon | 30 | 40 | | | 100000000000000000000000000000000000000000000000000000000000000 |
| Ealing | 12 | 53 | 4 | 12888888888888888888888888888888888888888888888 |
| Enfield | 22 | 41 | 12777777777777777777777777777777777777777777777 |
| Greenwich | 8 | 43 |
| Hackney | -4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4-4- |
| Hammersmith & Fulham | -26 |
| Haringey | - |
| Harrow | -26 |
| Havering |-22|
| Hillingdon |- |
| Houlslow |- |
| Islington |- |
| Kensington & Chelsea |- |
| Kingston upon Thames |- |
| Lambeth |- |
| Lewisham |- |
| Merton |- |
| Newham |- |
| Redbridge |- |
| Richmond upon Thames |- |
| Southwark |- |
| Sutton |- |
| Tower Hamlets |- |
| Waltham Forest |- |
| Wandsworth |- |
| Westminster |- |
Note: Party abbreviations can be found on page xviii.
**London**
**612** **1,060** **116** **27** **18** **12** **4** **2** **1,851**
<page_number>vi</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>vii</page_number>
Share of the vote for parties by borough
<table>
<thead>
<tr>
<th>Borough</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA</th>
<th>Others</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>9.4</td>
<td>51.1</td>
<td>3.7</td>
<td>3.1</td>
<td>1.8</td>
<td>27.9</td>
<td>0.9</td>
<td>0.0</td>
<td>2.1</td>
</tr>
<tr>
<td>Barnet</td>
<td>38.6</td>
<td>36.7</td>
<td>7.2</td>
<td>10.7</td>
<td>0.0</td>
<td>5.6</td>
<td>1.1</td>
<td>0.0</td>
<td>0.1</td>
</tr>
<tr>
<td>Bexley</td>
<td>37.6</td>
<td>25.3</td>
<td>2.7</td>
<td>1.6</td>
<td>8.0</td>
<td>23.4</td>
<td>0.9</td>
<td>0.0</td>
<td>0.5</td>
</tr>
<tr>
<td>Brent</td>
<td>20.1</td>
<td>47.6</td>
<td>16.4</td>
<td>11.5</td>
<td>0.0</td>
<td>1.9</td>
<td>0.4</td>
<td>0.0</td>
<td>2.2</td>
</tr>
<tr>
<td>Bromley</td>
<td>39.6</td>
<td>17.6</td>
<td>8.8</td>
<td>12.1</td>
<td>0.6</td>
<td>20.2</td>
<td>1.0</td>
<td>0.0</td>
<td>0.1</td>
</tr>
<tr>
<td>Camden</td>
<td>21.7</td>
<td>44.4</td>
<td>14.2</td>
<td>15.2</td>
<td>0.0</td>
<td>3.0</td>
<td>1.1</td>
<td>0.0</td>
<td>0.3</td>
</tr>
<tr>
<td>Croydon</td>
<td>33.4</td>
<td>36.0</td>
<td>5.5</td>
<td>8.0</td>
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<table border='1' cellspacing='0' cellpadding='3'>
<thead align='center'>
<tr align='center'>
<th colspan='9'>Note: Party abbreviations can be found on page xviii.</th></tr></thead></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>/div/>
<page_number>viii</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Maps
Elected Candidates by Ward 2014
<img>Map of London showing ward results for the 2014 London Borough Council elections. The map is color-coded to show the winning party in each ward. Key:
- Conservative
- Liberal Democrat
- Labour Association
- Tower Hamlets First
- UK Independence Party
- Independent
- Conservative/Liberal Democrat
- Conservative/Liberal Democrat Independent
- Conservative/Liberal Democrat First
- Labour/Tower Hamlets First
- Labour/Green
- Independent/Conservatives' Association
- Independent UKIP</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 ix
Elected Candidates by Ward 2010
<img>Map of London showing ward boundaries with different colors representing different political parties. Legend at top left: 2010 Ward Results Conservative, Liberal Democrat, Residents' Association, Liberal Democrat, Conservative/Independent, Labour/Liberal Democrat, Labour/Respect, Labour/Conservative, 3-way split.</img>
x
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Political Control**
May 2014
<img>A map of London Boroughs showing political control. The map is divided into different areas with different colors representing different political parties. The legend on the right side of the map identifies the colors: Conservative (blue), Labour (red), Liberal Democrat (yellow), Conservative Minority (light blue), Tower Hamlets First Minority (striped light blue).</img>
Note: Hackney, Lewisham, and Newham elected mayors representing the Labour party, and Tower Hamlets elected a mayor representing Tower Hamlets First in addition to the seats represented on the map above.
**Political Control 2014**
- Conservative (blue)
- Labour (red)
- Liberal Democrat (yellow)
- Conservative Minority (light blue)
- Tower Hamlets First Minority (striped light blue)
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>xii</page_number>
May 2010
Political Control 2010
Conservative
Labour
Liberal Democrat
Labour Minority
Conservative/Liberal Democrat
City of London
May 2006
Political Control 2006
Conservative
Labour
Liberal Democrat
Conservative Minority
Conservative/Community Minority
Conservative/Liberal Democrat
Labour/Liberal Democrat
City of London
xii
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
May 2002
Political control
<img>A map showing political control in May 2002. The map is divided into various regions, each colored differently to represent different political parties or control types. The legend on the left explains the colors: blue for Conservative, red for Labour, light blue for Liberal Democrat, light orange for Conservative minority, yellow for Labour minority, dark blue for LibDem minority, light green for Conservative with Mayoral vote, light grey for Labour with Mayoral vote, light brown for Labour with LibDem support, dark orange for Conservative/LibDem joint, dark red for Labour/LibDem joint, dark teal for No overall control, and white for City of London.</img>
May 1998
<img>A map showing political control in May 1998. The map is divided into various regions, each colored differently to represent different political parties or control types. The legend on the left explains the colors: blue for Conservative, red for Labour, light blue for Liberal Democrat, light orange for Conservative minority, yellow for Labour minority, dark blue for LibDem minority, light green for Conservative with Mayoral vote, light grey for Labour with Mayoral vote, light brown for Labour with LibDem support, dark orange for Conservative/LibDem joint, dark red for Labour/LibDem joint, dark teal for No overall control, and white for City of London.</img>
May 1994
<img>A map showing political control in May 1994. The map is divided into various regions, each colored differently to represent different political parties or control types. The legend on the left explains the colors: blue for Conservative, red for Labour, light blue for Liberal Democrat, light orange for Conservative minority, yellow for Labour minority, dark blue for LibDem minority, light green for Conservative with Mayoral vote, light grey for Labour with Mayoral vote, light brown for Labour with LibDem support, dark orange for Conservative/LibDem joint, dark red for Labour/LibDem joint, dark teal for No overall control, and white for City of London.</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
xiii
May 1990
Political control
<img>A map showing political control in London from May 1990. The map is divided into different areas, each with a different color representing different political parties or combinations thereof. The legend on the left explains the colors:
- Blue: Conservative
- Red: Labour
- Yellow: Liberal Democrat
- Light blue: Conservative minority
- Dark blue: Labour minority
- Light red: LibDem minority
- Light green: Conservative with Mayoral vote
- Dark green: Labour with Mayoral vote
- Light yellow: LibDem with Mayoral vote
- Light grey: Labour with LibDem support
- Dark grey: Conservative/LibDem joint
- Light grey with diagonal stripes: Labour/LibDem joint
- Light grey with vertical stripes: No overall control
- White: City of London</img>
May 1986
May 1982
xiv
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
May 1978
Political control
Conservative
Labour
Liberal Democrat
Conservative minority
Labour minority
Liberal minority
Conservative with Mayoral vote
Labour with Mayoral vote
LibDem with Mayoral vote
Labour with LibDem support
Conservative/LibDem joint
Labour/LibDem joint
No overall control
City of London
May 1974
May 1971
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>xv</page_number>
**Summary of election facts and figures, 2014**
<table>
<tr>
<td></td>
<td><strong>2014</strong></td>
<td><strong>2010</strong></td>
<td><strong>2006</strong></td>
<td><strong>2002</strong></td>
<td><strong>1998</strong></td>
</tr>
<tr>
<td>Total number of candidates</td>
<td>6,951</td>
<td>6,828</td>
<td>6,391</td>
<td>6,119</td>
<td>5,840</td>
</tr>
<tr>
<td>Total number of seats</td>
<td>1,851</td>
<td>1,861</td>
<td>1,861</td>
<td>1,861</td>
<td>1,917</td>
</tr>
<tr>
<td>Total number of seats contested</td>
<td>1,851</td>
<td>1,861</td>
<td>1,861</td>
<td>1,858</td>
<td>1,914</td>
</tr>
<tr>
<td>Average number of candidates per seat</td>
<td>3.76</td>
<td>3.67</td>
<td>3.43</td>
<td>3.29</td>
<td>3.05</td>
</tr>
<tr>
<td>Total electorate</td>
<td>5,878,824</td>
<td>5,689,223</td>
<td>5,340,657</td>
<td>5,209,247</td>
<td>5,010,999</td>
</tr>
<tr>
<td>Number voting (1 ward uncontested in 1998 and 2002)</td>
<td>2,284,882</td>
<td>3,524,644</td>
<td>2,023,235</td>
<td>1,653,654</td>
<td>1,738,868</td>
</tr>
<tr>
<td colspan="2">Percentage voting<br><br></th><th colspan="4">38.9<br><br></th><th colspan="4">37.9<br><br></th><th colspan="4">31.8<br><br></th><th colspan="4">34.8<br><br></th></tr><tr><th colspan="2">Ballot papers included in the count<br><br></th><th colspan="4">Number at polling stations<br><br></th><th colspan="4">Number of postal votes<br><br></th><th colspan="4">Total rejected in whole<br><br></th><th colspan="4">Total number of valid ballot papers<br><br></th></tr><tr><th colspan="2"></th><th colspan="4">Number at polling stations<br><br></th><th colspan="4">Number of postal votes<br><br></th><th colspan="4">Total rejected in whole<br><br></th><th colspan="4">Total number of valid ballot papers<br><br></th></tr><tr><th>Lacking the official mark<br>Voting for more candidates than entitled<br>Marked so that voter could be identified<br>Unmarked or wholly void<br>Total rejected in whole<br>Total number of valid ballot papers</th><th colspan="4">201<br>3,020<br>164<br>9,678<br>13,208<br>2,271,723</th><th colspan="4">64<br>3,874<br>756<br>16,869<br>22,371<br>3,502,273</th><th colspan="4">303<br>2,501<br>334<br>8,586<br>11,680<br>2,011,555</th><th colspan="4">169<br>1,315<br>179<br>3,807<br>5,782<br>1,647,872</th><th colspan="4">267<br>1,642<br>271<br>8,549<br>10,828<br>1,728,040</th></tr></table>
<sup>i In 2010 there was no breakdown of rejections in Hackney. In 2002 there were no rejected ballot papers recorded in Newham, and no breakdown of rejections in Barking and Dagenham.</sup>
**Number of councillors elected in London,**
**1964-2014**
<table border="1">
<thead>
<tr>
<th rowspan="2"><strong>% share of the poll in London, 1968-2014</strong></th>
<th rowspan="2"><strong>% poll CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CON LAB LD other total CONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalCONLABLDothertotalConlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetotalconlabldothetalabldethatthealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabldealabla
xvi
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Numbers of candidates and votes by borough
<table>
<thead>
<tr>
<th>Borough</th>
<th colspan="4">Number of candidates</th>
<th colspan="4">Number of votes</th>
</tr>
<tr>
<td></td>
<td>CON</td>
<td>LAB</td>
<td>LD Others</td>
<td>Total</td>
<td>CON</td>
<td>LAB</td>
<td>LD Others</td>
<td>Total</td>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>40</td>
<td>51</td>
<td>10</td>
<td>39</td>
<td>140</td>
<td>11,643</td>
<td>80,950</td>
<td>1,942</td>
<td>22,560</td>
<td>117,095</td>
</tr>
<tr>
<td>Barnet</td>
<td>63</td>
<td>63</td>
<td>63</td>
<td>63</td>
<td>252</td>
<td>108,774</td>
<td>103,429</td>
<td>20,355</td>
<td>28,415</td>
<td>260,973</td>
</tr>
<tr>
<td>Bexley</td>
<td>63</td>
<td>63</td>
<td>15</td>
<td>55</td>
<td>196</td>
<td>86,531</td>
<td>58,153</td>
<td>2,990</td>
<td>33,135</td>
<td>180,809</td>
</tr>
<tr>
<td>Brent</td>
<td>63</td>
<td>63</td>
<td>63</td>
<td>33</td>
<td>222</table><table><tbody><tr><th>Borough</th><th colspan="4">Number of candidates</th><th colspan="4">Number of votes</th></tr><tr><th></th><th>CON</th><th>LAB</th><th>LD Others</th><th>Total</th><th>CON</th><th>LAB</th><th>LD Others</th><th>Total</th></tr><tr><td>Bromley</td><td>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/>60<br/></table><table><tbody><tr><th>Borough</th><th colspan="4">Number of candidates</th><th colspan="4">Number of votes</th></tr><tr><th></th><th>CON</th><th>LAB</th><th>LD Others</th><th>Total</th><th>CON</th><th>LAB</th><th>LD Others</th><th>Total</th></tr><tr><td>Barking & Dagenham</td><table><tbody><tr><th>Borough:</th><th colspan="4">Number of candidates:</th></tr></tbody></table></tr></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>
<table border="1">
<thead>
<tr>
<th>Borough</th>
<th colspan="4">Number of candidates Total:</th>
</tr>
<!-- Other columns for number of votes -->
</thead>
<!-- Other rows for boroughs -->
<!-- Other rows for number of votes -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
<!-- Other rows for London -->
<!-- Other rows for total -->
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<!-- Other rows for London -->
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<!-- Other rows for London -->
<!-- Other rows for total -->
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xvii
Share of votes by borough
<table>
<thead>
<tr>
<th>Borough</th>
<th colspan="5">Votes standardised by number of candidates per ward</th>
<th colspan="3">Share of poll</th>
<th>%</th>
</tr>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>Others</th>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>Others</th>
<th>Turnout</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>4,974<br>36,258</td>
<td>26,983<br>34,476</td>
<td>1,942<br>6,785</td>
<td>18,862<br>16,442</td>
<td></td>
<td>9.4<br>38.6</td>
<td>51.1<br>36.7</td>
<td>3.7<br>7.2</td>
<td>35.7<br>17.5</td>
<td>36.5<br>40.5</td>
</tr>
<tr>
<td>Barnet</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bexley</td>
<td>28,844<br>16,012</td>
<td>19,384<br>37,962</td>
<td>2,038<br>13,092</td>
<td>26,372<br>12,733</td>
<td></td>
<td>37.6<br>20.1</td>
<td>25.3<br>47.6</td>
<td>2.7<br>16.4</td>
<td>34.4<br>16.0</td>
<td>39.6<br>36.3</td>
</tr>
<tr>
<td>Bromley</td>
<td>42,900<br>12,594</td>
<td>19,065<br>25,834</td>
<td>9,551<br>8,287</td>
<td>36,938<br>11,441</td>
<td></td>
<td>39.6<br>21.7</td>
<td>17.6<br>44.4</td>
<td>8.8<br>14.2</td>
<td>34.1<br>19.7</td>
<td>40.8<br>38.7</td>
</tr>
<tr>
<td>Camden</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Croydon</td>
<td>33,641<br>25,386</td>
<td>36,303<br>49,704</td>
<td>5,553<br>9,083</td>
<td>25,278<br>19,421</td>
<td></td>
<td>33.4<br>24.5</td>
<td>36.0<br>48.0</td>
<td>5.5<br>8.8</td>
<td>25.1<br>18.7</td>
<td>38.6<br>41.2</td>
</tr>
<tr>
<td>Ealing</td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> Greenwich
Hackingney
Hammersmith & Fulham
Haringey
Harrow
Haering
Hillingdon
Hounslow
Islington
Kensington & Chelsea
Kingston upon Thames
Lambeth
Lewisham
Merton
Newham
Redbridge
Richmond upon Thames
Southwark
Sutton
Tower Hamlets
Waltham Forest
Wandsworth
Westminster
London
<page_number>xvii</page_number>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Borough Name (Constituency)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•<th>Total Votes (Standardised by Number of Candidates)</th>•</tr>
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Barking & Dagenham (CON) 4,974 | LAB 36, 58 | LD 34, 47 | Others 18, 86 | Turnout 36. 5 | CON 9. 4 | LAB 38. 6 | LD 37. 6 | Others 16.</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Barnet (CON) 36, 58 | LAB 19, 38 | LD 16, 44 | Others 18, 86 | Turnout 40. 5 | CON 9. 4 | LAB 38. 6 | LD 37.</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Bexley (CON) 19, 38 | LAB 19, 38 | LD 19, 4 | Others 19, 4 | Turnout 39.</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Brent (CON) 16, 01 | LAB 37, 96 | LD 13, 09 | Others 19, 7 | Turnout 36.</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Bromley (CON) 49, 7 | LAB 19, 5 | LD 9, 5 | Others 19, 5 | Turnout 4.</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Camden (CON) 19, 5 | LAB 19, 5 | LD 19, 5 | Others 19, 5 | Turnout 4.</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Croydon (CON) 36, 5 | LAB 36, 5 | LD 55, 5 | Others 55,</tr>
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Ealing (CON) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ealing
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Enfield (CON) -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- Enfield
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Greenwich (CON) --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- Greenwich
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Hackney (CON) --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- Hackney
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Hammersmith & Fulham (CON) ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- Hammersmith & Fulham
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Haringey (CON) ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- Haringey
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Harrow (CON) ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- Harrow
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen Haeringen
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Hauringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe
<tr style="background-color:#f0f0f0;">
<th style="border:none;">Hauringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe Haringe
<tr style="background-color:#f0f
xiviii LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Number of candidates and votes by party**
<table>
<thead>
<tr>
<th>Party</th>
<th>Code</th>
<th>Votes</th>
<th>Candidates</th>
<th>Elected</th>
<th>Votes per Candidate</th>
</tr>
</thead>
<tbody>
<tr>
<td>Labour</td>
<td>LAB</td>
<td>2,626,540</td>
<td>1,851</td>
<td>1,060</td>
<td>1,419</td>
</tr>
<tr>
<td>Conservative</td>
<td>CON</td>
<td>1,826,714</td>
<td>1,812</td>
<td>612</td>
<td>1,008</td>
</tr>
<tr>
<td>Liberal Democrat</td>
<td>LD</td>
<td>635,719</td>
<td>1,322</td>
<td>116</td>
<td>481</td>
</tr>
<tr>
<td>Green</td>
<td>GRE</td>
<td>424,586</td>
<td>849</td>
<td>4</td>
<td>500</td>
</tr>
<tr>
<td>UK Independence Party (UKIP)</td>
<td>UKIP</td>
<td>303,772</td>
<td>469</td>
<td>12</td>
<td>648</td>
</tr>
<tr>
<td>Residents' Association</td>
<td>REA</td>
<td>74,788</td>
<td>45</td>
<td>27</td>
<td>1,662</td>
</tr>
<tr>
<td>Tower Hamlets First</td>
<td>THF</td>
<td>62,368</td>
<td>44</td>
<td>18</td>
<td>1,417</td>
</tr>
<tr>
<td>Independent</td>
<td>IND</td>
<td>44,117</td>
<td>110</td>
<td>2</td>
<td>401</td>
</tr>
<tr>
<td>Trade Unionist and Socialist Coalition</td>
<td>TUSC</td>
<td>30,285</td>
<td>198</td>
<td></td>
<td>153</td>
</tr>
<tr>
<td>Independent Labour Group</td>
<td>NLAB</td>
<td>16,715</td>
<td>47</td>
<td></td>
<td>356</td>
</tr>
<tr>
<td>British National Party<br>Lewisham People Before Profit<br>Christian Peoples Alliance<br>The Community (LB Hounslow)</td>
<td>BNP<br>LPPB<br>CPA<br>CITY<br>All People's Party<br>Your Voice<br>Mindful<br>Socialist Labour Party<br>Patients Not Profits<br>National Liberal Party<br>An Indepence From Europe<br>National Health Action<br>The Socialist Party<br>The Peace Party<br>National Front Putting Britain First<br>Putting Croydon First!</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;">Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total total totaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotaltotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalotalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalocalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalcalca cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal cal ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca ca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cca cccccc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc ccccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccc cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xix
**Turnout**
The turnout of voters across the 32 boroughs as a whole was 38.8 per cent, much lower than the previous London borough election, which took place on the same day as the parliamentary general elections, which has never previously happened since the formation of the boroughs in 1964. The highest and lowest figures are shown below.
<table>
<tr>
<td>Highest borough</td>
<td>Tower Hamlets</td>
<td>47.2%</td>
</tr>
<tr>
<td>Lowest borough</td>
<td>Kensington and Chelsea</td>
<td>30.3%</td>
</tr>
</table>
Turnout at ward level varied from 24.2 to 55.8 per cent.
<table>
<tr>
<td>Five highest wards</td>
<td>St. Dunstan's</td>
<td>Tower Hamlets</td>
<td>55.8%</td>
</tr>
<tr>
<td></td>
<td>Shadwell</td>
<td>Tower Hamlets</td>
<td>55.2%</td>
</tr>
<tr>
<td></td>
<td>Stepney Green</td>
<td>Tower Hamlets</td>
<td>54.9%</td>
</tr>
<tr>
<td></td>
<td>Kew</td>
<td>Richmond upon Thames</td>
<td>52.7%</td>
</tr>
<tr>
<td></td>
<td>Southall Broadway</td>
<td>Ealing</td>
<td>52.5%</td>
</tr>
<tr>
<td>Five lowest wards</td>
<td>Hyde Park</td>
<td>Westminster</td>
<td>26.6%</td>
</tr>
<tr>
<td></td>
<td>Knightsbridge and Belgravia</td>
<td>Westminster</td>
<td>26.3%</td>
</tr>
<tr>
<td></td>
<td>Queen's Gate</td>
<td>Kensington and Chelsea</td>
<td>25.7%</td>
</tr>
<tr>
<td></td>
<td>Courtfield</td>
<td>Kensington and Chelsea</td>
<td>24.8%</td>
</tr>
<tr>
<td></td>
<td>Brompton and Hans Town</td>
<td>Kensington and Chelsea</td>
<td>24.2%</td>
</tr>
</table>
**2010**
<img>A map showing the results of the London Borough Council election in 2010.</img>
**2014**
<img>A map showing the results of the London Borough Council election in 2014.</img>
% poll 2010
<table border="1">
<tr><th></th><th>%<br/>poll<br/>2010</th><th>N<br/>poll<br/>2010</th></tr><tr><th colspan="3">Polling data (in brackets)</th></tr><tr><th></th><th style="background-color: #6699ff;">69 to 79 (111)</th><th style="background-color: #99ccff;">68 to 78 (131)</th></tr><tr><th></th><th style="background-color: #6699ff;">61 to 64 (104)</th><th style="background-color: #99ccff;">57 to 61 (147)</th></tr><tr><th></th><th style="background-color: #6699ff;">0 to 57 (142)</th><th style="background-color: #99ccff;">0 to 35 (158)</th></tr></table>
% poll 2014
<table border="1">
<tr><th></th><th>%<br/>poll<br/>2014</th><th>N<br/>poll<br/>2014</th></tr><tr><th colspan="3">Polling data (in brackets)</th></tr><tr><th></th><th style="background-color: #6699ff;">54 to 56 (105)</th><th style="background-color: #99ccff;">41 to 44 (98)</th></tr><tr><th></th><th style="background-color: #6699ff;">33 to 37 (141)</th><th style="background-color: #99ccff;">33 to 37 (128)</th></tr><tr><th></th><th style="background-color: #6699ff;">0 to 35 (158)</th><th style="background-color: #99ccff;">0 to 35 (158)</th></tr></table>
xx LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**The Conservative Party vote**
The overall percentage vote for the Conservative Party was 26.2 per cent. This figure was lower than any previous borough elections with the previous lowest share being in 1994, when the party received 31.3 per cent. The party did not reach ten per cent of the vote in Barking and Dagenham, Islington, or Haringey.
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Highest borough Conservative vote</td>
<td>Kensington and Chelsea</td>
<td>52.9%</td>
</tr>
<tr>
<td>Lowest borough Conservative vote</td>
<td>Barking and Dagenham</td>
<td>9.4%</td>
</tr>
<tr>
<td>Five highest ward Conservative votes</td>
<td>Queen's Gate</td>
<td>Kensington and Chelsea</td>
<td>75.2%</td>
</tr>
<tr>
<td></td>
<td>Knightsbridge and Belgravia</td>
<td>Westminster</td>
<td>74.8%</td>
</tr>
<tr>
<td></td>
<td>Royal Hospital</td>
<td>Kensington and Chelsea</td>
<td>74.4%</td>
</tr>
<tr>
<td></td>
<td>Camden</td>
<td>Kensington and Chelsea</td>
<td>71.8%</td>
</tr>
<tr>
<td></td>
<td>Courthield</td>
<td>Kensington and Chelsea</td>
<td>70.7%</td>
</tr>
<tr>
<td>Five lowest ward Conservative votes*</td>
<td>Telegraph Hill</td>
<td>Lewisham</td>
<td>5.0%</td>
</tr>
<tr>
<td></td>
<td>Bethnal Green</td>
<td>Tower Hamlets</td>
<td>4.6%</td>
</tr>
<tr>
<td></td>
<td>Cazenove</td>
<td>Hackney</td>
<td>4.4%</td>
</tr>
<tr>
<td></td>
<td>Stepney Green</td>
<td>Tower Hamlets</td>
<td>4.3%</td>
</tr>
<tr>
<td></td>
<td>St. Peter's</td>
<td>Tower Hamlets</td>
<td>3.7%</td>
</tr>
<tr><td colspan="3">* In seven wards, no conservative candidate stood</td><td></td></tr>
</tbody>
</table>
**2010**
<img>A map of London showing the percentage of the Conservative share of the vote in each borough in 2010.</img>
**2014**
<img>A map of London showing the percentage of the Conservative share of the vote in each borough in 2014.</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>xxi</page_number>
**The Labour Party vote**
The overall percentage vote for the Labour Party was 37.5 per cent. This figure was almost five percentage points higher than in 2010. Newham stood out as the borough with the highest share, but five boroughs in total returned more than half of the vote share for Labour.
<table>
<thead>
<tr>
<td>Highest borough Labour vote</td>
<td>Newham</td>
<td>60.6%</td>
</tr>
<tr>
<td>Lowest borough Labour vote</td>
<td>Richmond upon Thames</td>
<td>11.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Five highest ward Labour votes</td>
<td>Southall Green</td>
<td>Ealing</td>
<td>85.8%</td>
</tr>
<tr>
<td></td>
<td>Figge's Marsh</td>
<td>Merton</td>
<td>80.3%</td>
</tr>
<tr>
<td></td>
<td>Dormers Wells</td>
<td>Ealing</td>
<td>77.9%</td>
</tr>
<tr>
<td></td>
<td>Notting Dale</td>
<td>Kensington and Chelsea</td>
<td>74.8%</td>
</tr>
<tr>
<td></td>
<td>Graveney</td>
<td>Merton</td>
<td>74.7%</td>
</tr>
<tr>
<td>Five lowest ward Labour votes</td>
<td>Darwin</td>
<td>Bromley</td>
<td>7.0%</td>
</tr>
<tr>
<td></td>
<td>Harefield</td>
<td>Hillingdon</td>
<td>6.7%</td>
</tr>
<tr>
<td></td>
<td>Cranham</td>
<td>Havering</td>
<td>6.1%</td>
</tr>
<tr>
<td></td>
<td>Cheam</td>
<td>Sutton</td>
<td>5.6%</td>
</tr>
<tr>
<td></td>
<td>Upminster</td>
<td>Havering</td>
<td>5.0%</td>
</tr>
</tbody>
</table>
**2010**
<img>A map showing the percentage of the Labour Party vote in each London borough in 2010.</img>
**2014**
<img>A map showing the percentage of the Labour Party vote in each London borough in 2014.</img>
% Labour share
- 40 to 72.2 (231)
- 30 to 40 (123)
- 20 to 30 (113)
- 10 to 20 (111)
- 0 to 10 (47)
% Labour share
- 40 to 85.8 (316)
- 30 to 40 (82)
- 20 to 30 (79)
- 10 to 20 (110)
- 0 to 10 (25)
xxii
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**The Liberal Democrat Party vote**
The overall percentage vote for the Liberal Democrat Party was 10.2 per cent. This figure was the lowest the party achieved since 1978, when they received 6.4 per cent of the vote. While Sutton was the party’s stand out performance at borough level, they did pick up over 25 per cent of the vote in other South West London boroughs of Kingston upon Thames, and Richmond upon Thames. In six boroughs, the Liberal Democrats had less than five per cent of the share.
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Highest borough Liberal Democrat vote</td>
<td>Sutton</td>
<td>35.7%</td>
</tr>
<tr>
<td>Lowest borough Liberal Democrat vote</td>
<td>Havering</td>
<td>1.9%</td>
</tr>
<tr>
<td>Five highest ward Liberal Democrat votes</td>
<td>Sutton North</td>
<td>Sutton</td>
<td>45.1%</td>
</tr>
<tr>
<td></td>
<td>Sutton West</td>
<td>Sutton</td>
<td>41.5%</td>
</tr>
<tr>
<td></td>
<td>Cazenove</td>
<td>Hackney</td>
<td>41.4%</td>
</tr>
<tr>
<td></td>
<td>Riverside</td>
<td>Southwark</td>
<td>40.6%</td>
</tr>
<tr>
<td></td>
<td>The Wrythe</td>
<td>Sutton</td>
<td>40.1%</td>
</tr>
<tr>
<td>Five lowest ward Liberal Democrat votes*</td>
<td>Upminster</td>
<td>Havering</td>
<td>1.7%</td>
</tr>
<tr>
<td></td>
<td>Elm Park</td>
<td>Havering</td>
<td>1.6%</td>
</tr>
<tr>
<td></td>
<td>St. Andrew’s</td>
<td>Havering</td>
<td>1.5%</td>
</tr>
<tr>
<td></td>
<td>Hacton</td>
<td>Havering</td>
<td>1.5%</td>
</tr>
<tr>
<td></td>
<td>Hylands</td>
<td>Havering</td>
<td>1.4%</td>
</tr>
<tr><td colspan="3">* In 77 wards, no Liberal Democrat candidate stood</td></tr>
</tbody>
</table>
**2010**
<img>A map showing the distribution of the Liberal Democrat share of the vote across London boroughs in 2010.</img>
**2014**
<img>A map showing the distribution of the Liberal Democrat share of the vote across London boroughs in 2014.</img>
<watermark>% Liberal Democrat share
40 to 54.9 (85)
30 to 40 (83)
20 to 30 (154)
10 to 20 (267)
0 to 10 (56)</watermark>
<watermark>% Liberal Democrat share
40 to 45.2 (5)
30 to 40 (52)
20 to 30 (45)
10 to 20 (76)
0 to 10 (452)</watermark>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>xxiii</page_number>
**The Green Party vote**
The overall percentage vote for the Labour Party was 9.9 per cent. This figure was over three percentage points higher than in 2010. In Hackney, over a fifth of the share went to the Greens, with Islington not far behind (18.8 per cent). In eight boroughs, the Greens had less than five per cent of the share.
<table>
<thead>
<tr>
<td>Highest borough Green vote</td>
<td>Hackney</td>
<td>20.1%</td>
</tr>
<tr>
<td>Lowest borough Green vote</td>
<td>Newham</td>
<td>0.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Five highest ward Green votes</td>
<td>Highgate</td>
<td>Camden</td>
<td>34.2%</td>
</tr>
<tr>
<td></td>
<td>Clissold</td>
<td>Hackney</td>
<td>29.2%</td>
</tr>
<tr>
<td></td>
<td>St. Leonard's</td>
<td>Lambeth</td>
<td>29.0%</td>
</tr>
<tr>
<td></td>
<td>Dalston</td>
<td>Hackney</td>
<td>27.9%</td>
</tr>
<tr>
<td></td>
<td>Ladywell</td>
<td>Lewisham</td>
<td>27.5%</td>
</tr>
<tr>
<td>Five lowest ward Green votes *</td>
<td>Elm Park</td>
<td>Havering</td>
<td>4.3%</td>
</tr>
<tr>
<td></td>
<td>New Addington</td>
<td>Croydon</td>
<td>4.2%</td>
</tr>
<tr>
<td></td>
<td>Colindale</td>
<td>Barnet</td>
<td>3.8%</td>
</tr>
<tr>
<td></td>
<td>Havering Park</td>
<td>Havering</td>
<td>3.7%</td>
</tr>
<tr>
<td></td>
<td>Blackwall & Cubitt Town</td>
<td>Tower Hamlets</td>
<td>3.3%</td>
</tr>
<tr><td colspan="4">* In 153 wards, no Green candidate stood</td></tr>
</tbody>
</table>
**2010**
<img>A map showing the distribution of the Green Party's share of the vote in London in 2010.</img>
**2014**
<img>A map showing the distribution of the Green Party's share of the vote in London in 2014.</img>
**% Green share**
- **30 to 40**: (1)
- **20 to 30**: (11)
- **10 to 20**: (142)
- **0 to 10**: (471)
**% Green share**
- **30 to 40**: (1)
- **20 to 30**: (32)
- **10 to 20**: (313)
- **0 to 10**: (284)
xxiv LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**The UK Independence Party vote**
The overall percentage vote for UKIP was 9.9 per cent. In 2010 this figure was just 1.1 per cent. In both Havering, and Barking and Dagenham, UKIP managed to achieve 28 per cent share. In nine boroughs, UKIP had less than five per cent of the share.
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Highest borough UKIP vote</td>
<td>Havering</td>
<td>28.4%</td>
</tr>
<tr>
<td>Lowest borough UKIP vote</td>
<td>Hackney</td>
<td>0.5%</td>
</tr>
<tr>
<td>Five highest ward UKIP votes</td>
<td>Gooshays</td>
<td>Havering</td>
<td>45.4%</td>
</tr>
<tr>
<td></td>
<td>Heaton</td>
<td>Havering</td>
<td>39.0%</td>
</tr>
<tr>
<td></td>
<td>Parsloes</td>
<td>Barking and Dagenham</td>
<td>38.4%</td>
</tr>
<tr>
<td></td>
<td>Mawneys</td>
<td>Havering</td>
<td>37.8%</td>
</tr>
<tr>
<td></td>
<td>Ailbon</td>
<td>Barking and Dagenham</td>
<td>36.9%</td>
</tr>
<tr>
<td>Five lowest ward UKIP votes*</td>
<td>Gipsy Hill</td>
<td>Lambeth</td>
<td>4.4%</td>
</tr>
<tr>
<td></td>
<td>Dalston</td>
<td>Hackney</td>
<td>4.4%</td>
</tr>
<tr>
<td></td>
<td>Whitechapel</td>
<td>Tower Hamlets</td>
<td>3.9%</td>
</tr>
<tr>
<td></td>
<td>Coldharbour</td>
<td>Lambeth</td>
<td>3.8%</td>
</tr>
<tr>
<td></td>
<td>Herne Hill</td>
<td>Lambeth</td>
<td>3.7%</td>
</tr>
<tr><td colspan="3">* In 244 wards, no UKIP candidate stood</td></tr>
</tbody>
</table>
<img>2010 map showing UKIP share by ward.</img>
<img>2014 map showing UKIP share by ward.</img>
<page_number>2010</page_number>
<page_number>2014</page_number>
% UKIP share
- 10 to 20 (22)
- 0 to 10 (603)
% UKIP share
- 40 to 73.6 (1)
- 30 to 40 (22)
- 20 to 39 (85)
- 10 to 19 (157)
- 0 to 10 (365)
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>xxv</page_number>
# COMMENTARY
Probably the most significant story in the 2014 London borough elections was that Labour secured a high proportion of seats while the other two major parties, Conservatives and Liberal Democrats, both had relatively poor performances. Labour made a net gain of 185 seats which enabled them to take control of all boroughs apart from the metropolitan boroughs from no overall control. They did also lose control of Tower Hamlets to Tower Hamlets First. Labour was the only major party to improve its position and their net gain of 185 seats followed a net gain of 191 in 2010 (a total of 376 over both elections), which replenished their combined loss of 366 seats in 2002 and 2006. Labour once again returned as the party with the most seats in London, a position it had held in nine of the previous thirteen general elections, including five consecutive elections between 1986 and 2002, and gave Labour well over half of all seats in London.
Furthermore, the three Labour mayors in Hackney, Lewisham and Newham were all re-elected with an overall majority in the first round, although Lutfur Rahman held his position as Mayor in Tower Hamlets having been suspended from the Labour Party shortly before he was elected as an independent in October 2010. He later created his own independent party, Tower Hamlets First, and was duly re-elected in 2014.
Labour increased their number of seats to 1,060 - 57 per cent of all seats available. In contrast, the Conservatives lost 105 seats leaving them with 612, or 33 per cent. The Conservatives retained 85 per cent of the seats they were defending.
The Liberal Democrats lost even more seats, with a drop of 130 leaving them with 116, or 6 per cent of seats. This was less than half the number of seats they were defending (246). The Liberal Democrats had their worst result since 1978 in terms of number of seats won, winning only 9 per cent of the seats they contested, and losing their highest number of seats in any borough election. This is a combined loss of 201 seats in 2010 and 2014.
In 2014, the borough elections were held on the same day as the European elections but the turnout was far lower than four years previous when for the first time, they were held on the same day as a parliamentary general election. However, other than 2010 when turnout was 62.0 per cent, the turnout
<img>Figure 1 % poll in London borough general elections, 1968 to 2014</img>
<page_number>xxx</page_number>
xxvi LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
of 38.9 per cent was still the highest since 1994 (Figure 1). The percentage of voters giving their vote by post increased by seven points compared with 2010, to 23 per cent. The figure had been higher in 2006 (18 per cent) compared with 2010, indicating that due to the higher turnout in conjunction with the general election, people were more likely to vote at polling stations.
The lower turnout meant all the major parties lost votes compared with 2010. The Labour party lost 22 per cent of votes, whereas the Conservatives lost 45 per cent and Liberal Democrats 70 per cent. In terms of share of the votes, the Labour party increased their share by five percentage points to 37.5 per cent, the Conservatives share fell by six percentage points to 26.2 per cent, and Liberal Democrats lost 12 percentage points, leaving them with just 10.2 per cent of the share - that is less than half their share of four years ago.
2014 was one of Labour's best results in terms of seats won. The feeling was that Labour had done well because it had taken significant share from the Liberal Democrats, and that UKIP's first major involvement in the borough elections had taken votes from Labour's main rival, the Conservatives.
The Conservatives made a net loss of 105 seats and lost control in three boroughs (two to Labour and one to no overall control) but the Conservatives made progress in south west London from the Liberal Democrats and took control of one borough from the Liberal Democrats, leaving them with nine boroughs. Besides that loss to the Conservatives, the Liberal Democrats retained control in one borough. While it was one of the lowest ever shares of the vote for the Liberal Democrats, it was the worst performance in any London borough election by far for the Conservatives - with just 26.2 per cent of the vote, which is lower than their previous lowest in 1984 (31.3 per cent). It was also the widest gap between the two principal parties since 1982 (11.3 percentage points).
Labour made the most of the votes they received, with 77 per cent of their votes for candidates who were subsequently elected, higher than the Conservatives (56 per cent) and significantly higher than Liberal Democrats (24 per cent) – though among the minor parties the Residents Association received 81 per cent of their votes for subsequently elected candidates. Another way to look at this is to analyse the number of votes per seat won. Labour only needed 2,477 votes for each seat they won, compared with Conservatives who had 2,985. The Green party were the least efficient seat-winning party with 105,995 votes per seat won.
The minor parties won a total share of 26.1 per cent of the votes – by far the highest ever, with the second highest being in 2006 (17.0 per cent).
As evidenced by the significant fall in support for Liberal Democrats, they are perhaps not seen as a safe middle ground by as many voters as before and voters have looked elsewhere to find which party represents their views.
There were some significant changes on the spread of successful candidates across the major and minor parties between 2010 and 2014. The minor parties won 63 seats this time compared with only 23 elected in 2010, but was not far off the number won in 2006 (75). The cause of the drop in 2010 may have been because parliamentary elections were held on the same day which meant that the electorate was likely to be more focused on electing a government.
There were some notable changes among the minor parties. UKIP increased their share from 1.1 to 9.8 per cent, giving them 12 seats. The fact that the borough election was held on the same day at the European election may have led to an increase in vote for UKIP. UKIP made progress against all three major parties in England but UKIP was only slightly less than the Greens (39.8 per cent) and Liberal Democrats share (10.2 per cent). However, UKIP has not yet had high BAME and immigrant populations, and this will probably restrict the number of wards UKIP can be successful.
<img>A bar chart showing voting percentages for different political parties.</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xxviii
**Table 1** Votes cast, 1994 to 2014
| | % votes cast |
|---|---|
| | 1994 | 1998 | 2002 | 2006 | 2010 | 2014 | 1994-2014 | 2010-2014 |
| Conservatives | 31.3 | 32.3 | 34.4 | 35.1 | 32.0 | 26.2 | -5.1 | -5.8 |
| Labour | 41.5 | 40.5 | 13.8 | 27.6 | 32.6 | 37.5 | -4.0 | 4.9 |
| Liberal Democrats | 21.8 | 20.6 | 20.3 | 22.0 | 10.2 | -11.6 | -11.8 |
| Others | 5.4 | 6.6 | 11.6 | 17.0 | 13.4 | 26.1 | 20.7 | 12.7 |
**Table 2** Seats won, 1994 to 2014
| | Councillors elected per 2,000 seats |
|---|---|
| | 1994 | 1998 | 2002 | 2006 | 2010 | 2014 | 1994-2014 | 2010-2014 |
| Conservatives | 541 | 561 | 702 | 844 | 771 | 675 | 134 | -95 |
| Labour | 1,089 | 1,095 | 931 | 736 | 940 | 1,145 | 56 | 205 |
| Liberal Democrats | 337 | 314 | 332 | 341 | 264 | 176 | -161 | -89 |
| Others | 32 | 29 | 35 | 78 | 25 | 64 | 32 | 40 |
Note: Councillors elected are shown as a rate per 2,000 to bring the elections onto the same basis.
But even in wards where UKIP performed fairly well they tended not to be able to convert the votes into seats because they were only able to do where it faced divided opposition. In this election, they needed a ward to have a three or four parties splitting the vote to be in a position to win seats. UKIP’s presence had the effect of hurting other parties more than helping itself and it tended to get UKIP a position of replacing the main opposition to the winners in each ward as opposed to actually winning. In fact it was Labour that benefited hugely from this divided opposition, winning most seats where UKIP had a fairly decent share of the vote. It will probably be in the next elections in 2018 where it will become clear whether 2014 was a stepping stone for UKIP to become a genuine threat to the major parties for winning seats, and perhaps replace the Liberal democrats as the third largest party in a number of boroughs, or remain as one of the minor parties.
Tower Hamlets First appeared for the first time and won 18 seats. The Resident’s Associations performance improved again because even though their share of the vote remained at just over one per cent, the number of seats they were elected in increased from 19 to 27. This meant that 60 per cent of all residents’ candidates won a seat – higher than any other party.
The Green Party increased their share of the vote from 6.5 to 9.9 per cent and increased their number of seats from two to four. Despite a significant boost in the vote share for the Greens, only half a per cent of Green candidates were elected because their supporters tend to be more spread out across London as opposed focused in certain areas.
Demographic changes are likely to continue playing their part in elections in London. With the capital having an increasingly diverse population, the Conservatives may face a difficult task to return to their strong position of 2006 again, especially when the unpredictable effect of future UKIP votes is factored in.
xxviii LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**The borough elections**
Tables 1 and 2 may be used to compare the results of the last six London borough general elections. Seats won are shown as rates per 2,000 to enable a valid evaluation given the changes in the number of seats available for election, most recently made in 2002. The actual numbers of seats won may be found in the summary of election facts and figures on page xv.
From these tables it is clear that the three major parties experienced very different results in May 2014. The party making the most gains was Labour. This enhanced share was reflected in the seats gained and in this respect Labour regained all the lost ground from 2002 and 2006, easily remaining the party with the largest number of actual seats won (page xv). The Conservative Party and Liberal Democrats both suffered losses, in terms of councillors elected, for the second election running. However, the Liberal Democrats had actually increased their share of the vote between 2006 and 2010.
The minor parties made a comeback after a disappointing result in 2010 with the Residents’ Associations and Tower Hamlets First taking the majority (71 per cent) of the 63 seats won.
Figure 2 illustrates the share of votes enjoyed by the major parties since the second London borough council general election in 1968 – the year of the Conservative landslide. The growth of the Liberal Democrat (and the party’s predecessors) vote during the first twenty years can be seen clearly but the party’s support had settled at just over 20 per cent in each of the last five elections, and so the collapse to around ten per cent is a significant divergence from the trend. As noted earlier, the growth in backing for the minor parties, evident over the last twenty years fell away to some extent in 2010 but recovered in 2014.
Change in political control of the boroughs is shown in Figure 3. Labour’s position as the majority party in the largest number of London boroughs remained and they now control 20 boroughs, the third time they have controlled that many boroughs in the 14 general elections since the inception of this pattern of London government. The Conservatives have held an absolute majority three times and have not achieved this position since 1982 following the Liberal Democrats’ increasing success and the greater incidence of hung councils, though they did control 28 boroughs back in 1968 – a total Labour have not yet got close to matching. Altogether 25 boroughs remained under the same control in 2014 as four years earlier (five more than in 2010).
Control in both Croydon, and Hammersmith and Fulham have followed similar paths over the past 20 years. In both boroughs Labour had control between 1994 and 2002, and then Conservatives won both boroughs in 2006 and 2010 and in 2014 Labour resumed control again. Merton and Redbridge moved from ‘no overall control’ to Labour. However, Labour lost Tower Hamlets to ‘no overall control’, having had control there since 1994. Having moved back to ‘no overall control’, having been under Conservative rule since 2006. Although, prior to this, the borough had been under ‘no overall control’ since 1986. Kingston was taken by the Conservatives, a borough they haven’t had control of since 1982, with the Liberal Democrats ruling in the borough since 2002 (Table 5).
The rate of rejection of ballot papers in 2014 slightly reduced compared with 2010 – 0.58 per cent against 0.63 per cent, which coincidentally returns the rejection rate to the exact same figure as in 2006. The incidence of rejection through lack of official mark increased to 201 with the majority (147) occurring in one borough – Croydon. The presentation of unmarked or void ballots remains by far the largest reason for rejection (73 per cent of rejections).
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xxix
Figure 2 Votes for major parties in London borough elections, 1968 to 2014
<img>
A bar chart showing the percentage of votes for each party in London borough elections from 1968 to 2014.
The y-axis represents the percentage of votes for each party, ranging from 0% to 70%.
The x-axis shows the years: 1968, 1971, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002, 2006, 2010, 2014.
Legend:
- Conservative (blue)
- Labour (red)
- Liberal Democrat (yellow)
- Other (grey)
</img>
Figure 3 Boroughs controlled by major parties, 1964 to 2014
<img>
A bar chart showing the number of boroughs controlled by each major party in London from 1964 to 2014.
The y-axis represents the number of boroughs controlled, ranging from 0 to 30.
The x-axis shows the years: 1964, 1968, 1971, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002, 2006, 2010, 2014.
Legend:
- Conservative (blue)
- Labour (red)
- Liberal Democrat (yellow)
- NOC (grey)
</img>
xxx
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Table 3 Changes in political control following 2014 London borough elections**
Read vertically for 2010 political control
Read horizontally for 2014 political control
<table>
<thead>
<tr>
<th></th>
<th>CON 2010</th>
<th>LAB 2010</th>
<th>LD 2010</th>
<th>NOC 2010</th>
</tr>
</thead>
<tbody>
<tr>
<td>CON 2014</td>
<td>Barnet<br>Chelmsford<br>Bromley<br>Hillingdon<br>Kensington and Chelsea<br>Richmond upon Thames<br>Wandsworth<br>Westminster</td>
<td></td>
<td>Kingston upon Thames</td>
<td></td>
</tr>
<tr>
<td>LAB 2014</td>
<td>Croydon<br>Hammersmith & Fulham</td>
<td>Barking and Dagenham<br>Brent<br>Camden<br>Caling<br>Enfield<br>Greenwich<br>Hackney<br>Haringey<br>Harrow<br>Hounslow<br>Islington<br>Lambeth<br>Lewisham<br>Newham<br>Southwark<br>Waltham Forest</td>
<td></td>
<td>Merton<br>Redbridge</td>
</tr>
<tr>
<td>LD 2014</td>
<td></td>
<td></td>
<td>Sutton</td>
<td></td>
</tr>
<tr>
<td>NOC 2014</td>
<td>Havering</td>
<td>Tower Hamlets</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
**Borough by borough summary**
The Labour Party took every seat in **Barking and Dagenham** for the second election in succession. However, UKIP gained the second highest share of the vote, a position they had taken from virtually nowhere in 2010. UKIP took roughly the same proportion of the vote as the BNP had done in 2010, and even though the BNP did have four candidates standing in the borough, their support was significantly less than the UKIP candidates standing in those wards. Labour’s share of the vote was their highest in the borough since 2002. The Conservatives continued to lose share here, while the Liberal Democrats lost most of the share they had regained in 2010 having had hardly any support in 2006.
In **Barnet**, the Labour Party made significant progress, taking nine seats from Conservative but still fell just short of taking control of the borough as the Conservatives took two seats from Liberal Democrats in Childs Hill. The 30 seats Labour now hold in the borough is the highest total the party has ever reached there – though they did have a slightly higher share of the vote in 1994 and 1998. The Greens had been relatively successful in 2006, had done not so well in 2010, but improved again in 2014 to take 11 per cent of the vote, which was ahead of the Liberal Democrats.
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xxxi
**Bexley** was a borough that Labour controlled back in 2002 but a poor performance in 2006 saw them lose 23 seats to the Conservatives. Since then they have slowly begun to claw back a few seats in the north of the borough, though the Conservatives still have three times as many seats as Labour. The Conservative share of the vote fell slightly, but increased their share, mostly at the expense of the Liberal Democrats whose share dropped by around three per cent. They now hold two boroughs, though they did only field 15 candidates. They have not won a seat in Bexley in the last three elections. UKIP won the remaining three seats in the borough taking a single seat from the Conservatives in three wards, and they averaged a 23 per cent share of the vote. This was the only borough where BNP nominated a significant number of candidates with 20 standing in total. However, they managed less than eight per cent share, and their best performances came in Crayford and North End wards.
In **Brent** the Conservatives experienced their joint worst ever result in terms of seats (with 2010), and their lowest share of the vote ever. Having done well in 2010, the Liberal Democrats lost 16 of their 17 seats in the borough, handing them all to Labour, even though their share of the vote did remain respectable at 16 per cent. Labour increased their share of the vote to 48 per cent, their highest since 1971. Having had quite a lot of mixed wards in 2010 where there were seats held by different parties within a ward, this time only Mapesbury had a mix of Labour and a Liberal Democrat. The Conservatives six seats were in two wards of Kenton, and Bromdesbury Park – the latter three all gained from the Liberal Democrats. Labour made gains from the Conservatives in Northwick Park, and Preston wards.
In **Bromley**, the Conservative Party dominated once again, though their share of the vote fell to 40 per cent, and they had a net loss of two seats – losing one to Labour and two to UKIP; but gaining one from the Liberal Democrats. The Liberal Democrats now have no seats in Bromley for the first time since 1978, and their share of the vote in the borough is the lowest ever. Labour’s share was their highest since 1998, and their seven seats match the total they had in 1994 and 1998. Labour made their gains in Clock House and Crystal Palace wards in the north west of the borough. UKIP had the second largest share of the vote in the borough (20 per cent), roughly gaining what the Liberal Democrats had lost, but UKIP did not win any seats from the Conservatives in Cray Valley West, and they were 16 votes short of winning a seat in Cray Valley East. Had UKIP put up a full slate in the borough the total number of votes may have been greater than Labour’s.
Labour consolidated their control in **Camden** taking an additional ten seats compared with 2010, all from Liberal Democrats, and increasing their share of the vote significantly from 33 to 44 per cent. The Conservatives lost share slightly but gained two seats, one in Belize and the other in Hampstead Town ward, leaving them with 12 seats. The Liberal Democrats lost half of their share of the vote but managed to retain a single seat in Fortune Green ward where they had a greater share of the vote than Labour or Conservatives. The Greens retained their single seat in Highgate, and in that ward won over a third of the vote share. Furthermore, the Greens were Labour’s main opposition in four other wards.
In **Croydon**, as has been common in this borough since the early 1980s, all the seats were won by either Labour or Conservatives, with Labour taking a majority for the first time since 2002. Despite losing seven seats to Labour, the Conservative share only fell slightly. Labour increased their share by four points, with the Liberal Democrats losing over 13 points. Labour’s seats are in the north half of the borough plus Fieldway and New Addington. The line dividing Labour and Conservative wards is slowly moving south. The Green Party and UKIP both received just under 25,000 votes – twice as many as the Liberal Democrats, but UKIP did so with only 42 candidates compared with a full slate of 70 for the Greens.
In **Ealing**, Labour had their best performance, in terms of seats won, since 1998 and in, terms of share won, their best since 1998. Conversely the Conservatives had their worst ever performance of both seats and share. They lost 12 seats, all to Labour. Labour’s other seat came from the Liberal Democrats, though the latter did manage to hold on to four seats in the borough despite losing half their share of the vote leaving them with less than nine per cent, but managing to hold onto the entire ward of
xxxii
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Southfield in the process. UKIP achieved a good share of the vote in wards to the north of the borough but did not threaten Labour for a seat. In Southall Broadway, three Independent candidates were Labour’s main challengers and they managed a 25 per cent share of the vote in that ward. In Southall Green, Labour managed an impressive 86 per cent share of the vote, which was the highest share of any party in any ward in London.
Since 2002, the Conservative share of the vote in Enfield has steadily fallen from 50 per cent to 26 per cent in 2014. Labour increased their majority from 2010 and now hold 41 of the 63 seats, with the other 22 being held by Conservatives – though this is the lowest total (and share of the vote) ever held by them in the borough. Labour gained a seat from the Conservatives in each of Bush Hill Park, Chase, and Winchmore Hill, and gained two seats from them in Southgate Green. After a decent performance by the Liberal Democrats in 2010, they lost most of their share of the vote in 2014 and polled only around 2,600 votes. The Greens, UKIP, Independent candidates, and Trade Unionist and Socialist Coalition all received more votes than the Liberal Democrats.
In Greenwich, Labour consolidated their position as majority party (the party only failed to achieve this in 1968). Labour gained three more seats from the Conservatives in 2014 – one in Blackheath Westcombe and the other two in Etham North ward. UKIP were the next best performing party with around 15 per cent of the vote. However, UKIP only had 13 candidates out of 51 possible, indicating they could be a more serious competitor in this borough in the future. There was a similar story for the Green party who achieved slightly more votes than UKIP from 19 candidates. The Liberal Democrats were not close to winning a seat in a borough where they regularly used to have a handful of seats.
Hackney’s ward boundaries were redrawn for 2014 because of a rapidly growing population but there was no difference in the result to 2010 – the three main parties ended up with the exact same number of seats as four years ago. 50 out of the 57 seats went to Labour where the party has failed to obtain a majority only twice in the 13 London borough general elections. However, Labour’s share of the vote was significantly improved on 2010, up from 47 to 57 per cent. Not since the 1970s have they enjoyed a greater share. The Greens and Party for Socialism and Liberation also had a better general election run with just 12 per cent but still retained four seats – all three seats in Spitalfields ward, and one of the two seats in the new ward of Stamford Hill West. Having had one of their highest ever shares of the vote in 2010, the Liberal Democrats had their lowest share since 1978 but they still managed to hold onto their three seats in Cazenove ward where they managed over 41 per cent of the vote. In no other ward in the borough did they achieve as much as nine per cent. As in 2010 the Greens fought every ward in the borough but this time entering a full slate in every ward. They recorded a 20 per cent share of the vote, comfortably in second place, but not enough to trouble Labour in any individual ward. Hackney is one of the three boroughs to directly elect their mayor, and the Labour mayor was duly elected for a fourth term (see below).
After having a comfortable majority in 2006 and 2010 the Conservatives lost control of Hammersmith and Fulham in 2014, losing 11 seats to Labour. It was the first time since 1998 that Labour had a greater share of the vote in the borough increasing it significantly from 34 to 42 per cent. The Conservative seats are mostly in the south of the borough, though they share power with Labour in Addison Road Ward. The Liberal Democrats have been able to maintain their presence here since they won their first seat as an independent Democrat lost the majority of their share of the vote having had a good share four years ago. While Labour and Conservatives were the only parties that won or came close to winning a seat, the Liberal Democrats managed a good share of the vote in Town ward (19 per cent), but nowhere else did a party manage as much as a ten per cent share. This was a factor in the combined vote share of Labour and Conservative being so high at 80 per cent.
The geographical divide in Haringey became less clear in 2014 but there still some division with the Liberal Democrats holding onto just nine of their 23 seats in the west of the borough. However, they now only control a single ward – Highgate. They lost seats to Labour in seven wards and are now sharing
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xxxiii
power in Alexandra, Crouch end, Fortis Green, and Muswell Hill, though still had the highest share of the vote in the latter pair of wards. Labour managed 48 per cent of the share in the borough for the first time since 1998. The party with the third highest share of the vote was the Greens with 15 per cent, and they have become Labour’s closest opposition in seven wards but did not get close to winning a seat in any of them. The Conservatives have not won a seat in the borough in the last four elections, and their share of the vote fell below ten per cent, which is their lowest ever share in Haringey.
The result in Harrow was similar to 2010, with the only change in seats won being a net gain of one seat for an independent from the Conservative party in Headstone North where there are now two independents and one Conservative councillor. The Conservatives and Labour both took a seat from the other in two other wards, which effectively cancelled out any change overall. Harrow has been a closely fought borough between elections and this one was probably closer than it should have been because Labour’s share of the vote fell by three points compared to 2010. The Liberal Democrats lost most wards in the borough giving them a vote share of around eight per cent. This group was formed when eight disaffected Labour councillors formed their own group in May 2013 following accusations that the official Labour Party was institutionally racist. The group recruited additional candidates for this election to make a total of 47 Independent Labour candidates in the borough. The Conservatives share fell slightly while Labour improved theirs slightly, but neither had any significant effect on seats won. Geographically speaking, the Conservative seats are in the south part of the borough and on the outer edge of London, while Labour’s seats are mainly in the north part of the borough and Liberal Democrats achieved around a fifth of the share, but this dropped down to seven per cent in 2014. Despite this, the Liberal Democrat candidate in Rayners Lane, did retain his seat that he has held since 2006.
**Havering** remains the principal stronghold of residents’ association councillors in London. The residents increase their number of seats from 16 to 24, still not quite enough to give them control of the borough. The residents achieved a 26 per cent share of the vote, and there were no residents’ candidates in four wards. The residents’ seats were won by Labour (1), Harold Wood Hyndburn Socialists (1), Hornchurch and St Andrews. All but one was at the expense of a Conservative councillor with the other being from a Labour councillor. The number of seats won by the various elements of the residents groups were Hornchurch Residents Association (10), Upminster and Cranham Residents Association (6), Harold Wood Hill Park Residents Association (3), Rainham & Wennington Independent Residents Group (3), and South Hornchurch Independent Residents Group (2). The other big winner in the borough was UKIP, who won their first seven seats in the borough, four from Conservatives and three from Labour. Consequently, the Conservative share of the vote fell by three points compared to 2010, while Labour’s share increased and UKIP achieved a 28 per cent share of the vote, which was their highest in London. From Labour’s point of view, this was a poor result especially when throughout the nineties they were the party with the most seats in the borough. And from a Conservative point of view they lost a 14 percentage point share of the vote, which was their lowest ever. All of the Conservatives 22 seats were in the north west part of the borough.
The Conservatives lost four seats to Labour in **Hillingdon** but they remained in control of the borough with 42 of the seats. The remaining 23 went to Labour. Labour gained a seat in each of Charville, Uxbridge South, and West Drayton wards, and two in Heathrow Villages but lost one to the Conservatives in Yiewsley, which was a closely contested ward both four years ago and in 2014. Indeed, a Labour candidate received only two votes less than a winning Conservative there. The Conservative share of the vote fell compared with 2010, and so did Labour’s, but the latter only slightly. Labour seats all were won in the south of the borough. The Liberal Democrat share fell from 17 per cent to three per cent, but they had already lost all their seats in 2010. UKIP were the party in third place with 19 per cent of the vote, having put up at least one candidate in every ward in the borough, and were probably closest to winning a seat in Harfield ward, but the Conservatives held onto both seats.
<page_number>xxxiv</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Hounslow** is traditionally a Labour borough winning 12 of the 14 London borough elections. They returned to power back in 2010, and followed it up in 2014 with an even stronger result. Labour gained 14 seats from the Conservatives, and like 2010, no other party won a seat. The Conservatives now hold 11 seats, mostly in the east of the borough where they have held since 1983, their share fell to 25 per cent. Labour’s share increased by nine percentage points, and the Liberal Democrats lost eight percentage points. The Green party gained some share, from seven to nine per cent, and UKIP achieved 11 per cent share of the vote, which may have contributed to the Conservatives poor result.
As recently as 2006, the Liberal Democrats held more seats in **Islington** than any other party. They lost 11 seats to Labour in 2010 and another 12 to Labour, and one to the Greens in 2014. Their share of the vote more than halved from 31 to 14 per cent, while Labour’s share surged to 55 per cent, which was their best since 1979. Labour now hold all but one seat in Islington. The Green seat was won in Highbury East whilst the Greens candidate was defeated by a tight margin. In this ward the Liberal Democrats were only narrowly beaten, but the other two Green candidates in that ward were a long way behind, ranking in eighth and ninth places. In the borough, the Greens increased their share to 19 per cent, and are now the principle opposition party to Labour.
In 2014 there were major ward boundary changes in **Kensington and Chelsea**, which makes identifying changes on a ward basis more difficult, especially as there are now four fewer seats available than before. Out of the mix five seats changed little in 2014 compared with four years previous, though Labour did make a little progress. At this stage in time, Labour had gained three seats, the Conservatives lost six seats, and the Liberal Democrats lost one of their two seats, which were the only two seats the Liberal Democrats had ever won in a borough that has long been completely dominated by the two main parties. Most of the changes were in wards with boundary changes but Labour gained two seats from Liberal Democrats in Colville ward, and the Liberal Democrats gained one of only four seats in London, in Earl’s Court ward, winning it from the Conservatives. However, in reality this seat had already been won in a by-election in 2010, and the same candidate returned to hold onto her seat. But the Conservatives easily regained control of the borough with 37 out of 50 seats and reached at least a 70 per cent of the vote share in four wards where they won 12 seats were won at the expense of the borough. The Conservatives maintained their share while Labour increased their share of the vote at the expense of the Liberal Democrats.
The Liberal Democrats had held the majority of seats in **Kingston upon Thames** for last three elections in succession, but following the common theme these elections, the Liberal Democrat vote fell, meaning that they lost their majority for the first time since 2008 and for the first time since 1982. The Conservatives gained seven seats giving them a total of 28, while Labour gained their only two seats in the borough in Norbiton ward, which is right in the middle of the borough. Labour had previously lost these seats in 2010. Across the borough, Labour had increased their share by four percentage points, which was better than the slight fall that for the Conservatives experienced, but the latter appears to have benefited from a split vote, predominantly between Labour and Liberal Democrats but also from UKIP and the Greens in many wards.
Labour held onto control comfortably in **Lambeth** winning 59 of the 63 seats, making it their best ever result in the borough. The main story here was Labour winning all of the Liberal Democrats’ 15 seats, with Labour taking a large slice of the lost 16 percentage point share of the vote from the Liberal Democrats. Labour also took two seats from the Conservatives in Thurloe Park. The Conservatives did manage to win the third seat in Clapham Common from the Liberal Democrats though, leaving them with just those three seats in the borough. The Greens won a single seat in St Leonards ward from Liberal Democrats and the other two seats in that ward were won by Labour. The Greens ended up with a 15 per cent share in the borough, up from nine per cent in 2010.
In **Lewisham**, Labour won easily, after the Liberal Democrats lost all 12 of their seats, and the Conservatives lost both of theirs. The only seat not won by Labour was in Brockley ward where the
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xxxv
Greens managed to hold onto their seat despite Darren Johnson standing down. The party also received a significant share of the vote in Crofton Park and Ladywell wards but were unable to win a seat there.
In the borough as a whole, the Greens achieved a share of 14 per cent, up from 10 per cent in 2010, giving them two seats in Crofton Park and one in Ladywell. The Greens have held three seats in the borough since 1986 and their share of the vote has been steadily declining since 1978, but the Liberal Democrats had offered a decent opposition in 2006 and 2010 before they collapsed in 2014, only achieving a ten per cent share in four wards. Lewisham People Before Profit picked up some of the former Liberal Democrat vote, and managed a borough wide 14 per cent share, though in New Cross and Telegraph Hill wards they came in second place with over 20 per cent share of the vote. Trade Unionist and Socialist Coalition received eight per cent of the vote in Telegraph Hill, and even though UKIP generally did poorly across the borough, they did receive around 20 per cent shares in Downham, Grove Park, and Whitehorse wards. Lewisham is one of the three London boroughs to elect their mayor directly. The Labour mayor was re-elected for his third term (see below).
Labour took control in Merton after two elections in succession with a hung council. They won eight more seats, all from the Conservatives to bring their total up to 36. The Conservatives did manage to win a seat from the Liberal Democrats in West Barnes ward despite their overall share in the borough falling slightly. That left the Liberal Democrats with their only seat, not only in that ward but the whole borough. Residents had Meadow Park ward they have represented since 1990, but on Sunday changes brought about an increase of just under 5 per cent, which has now made it 59 per cent. Labour now hold the bulk of the southern part of the borough, with the Conservatives being strong in most of the remaining seven wards to the north. One of Labour’s best performances in any ward in London, came in Figge’s Marsh ward, where they achieved 80 per cent of the vote.
For the fourth time in the borough elections and the second time in succession, Labour won every seat on Newham Council. Labour’s share stayed at around 60 per cent, and comfortably achieved at least half of the share in every ward. The Conservatives also increased their share of the vote by over six percentage points compared to 2010 – although this higher than average share is not unusual as they have only won seats on two occasions, the most recent in 1990. The Labour and Conservative vote combined accounted for 83 per cent of the vote share – the highest combined total of any borough in these elections. Labour were clear winners in every ward, and other the Conservatives, there were few other examples of minor parties performing well. A UKIP candidate did outperform the Conservative candidate in three wards in the borough, which reduced the Conservatives chances in those areas but in reality Labour received more votes than both parties combined in each case. The Christian Peoples Alliance had their best performance ever with a share of 13 per cent, which was their highest share ever. They were their highest shares in London, mainly because Newham was the only borough where they had a major presence, putting up 55 out of a possible 60 candidates in the borough. Newham is one of three boroughs to elect their mayor directly and the Labour mayor was returned for his third term (see below).
This was the first time Labour had won outright control of Redbridge, and it was their highest number of seats (35) and share (47 per cent) also. Labour gained nine seats, while the Conservatives lost five and the Liberal Democrats lost four. The Conservative share of the vote fell by five points, whereas the Liberal Democrats showed an increase of almost six points compared to their lowest share ever – 1978. However, they managed to hold onto two seats in Rodding ward and one in Church Hill ward, where they had previously held all six seats. It was the Conservatives, not Labour, who took these seats three seats from the Liberal Democrats. However, Labour took a total of eight seats from the Conservatives in Aldborough, Cranbrook, Hainault, and Wanstead wards, and they now have power in wards in the east of the borough.
Following 16 years of Liberal Democrat administration in Richmond upon Thames up to 2002, control of the borough then see-saved between the Liberal Democrats and Conservatives with the Conservatives taking a majority in 2010 and retaining power in 2014. The Liberal Democrats lost nine seats to the Conservatives as their share of the vote fell to 28 per cent, which although the second highest in London
xxxvi LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
after Sutton, was their lowest in Richmond since 1971. However, they still achieved the highest share in five wards, and won all three seats in both St. Margarets and North Twickenham, and Teddington wards, gaining a seat from the Conservatives in the former. Labour failed to win a seat for the fourth borough general election running.
In Southwark, support for the Liberal Democrats fell away in a borough where they had been strong for the past six borough elections. They won just 13 seats, which was their lowest since they won their first seats here in 1986. It was Labour who benefitted, consolidating their position of control in the borough, and winning 48 seats for the first time since 1982. Labour also won one seat from the Conservatives in College ward. The Conservative share fell slightly but they held onto their two seats in Village ward, with Labour taking the other seat in that ward from the Liberal Democrats. The Liberal Democrats now hold most of their seats in the riverside wards, with Labour dominating the rest of the borough.
**Sutton** was the Liberal Democrats one real success story of these elections as they continued to control the borough and actually improved their result from 2010 by taking two seats from the Conservatives, one in Nonsuch and one in Worcester Park to give them all three seats in both wards. The Liberal Democrats share of the vote fell (down ten percentage points), continuing the steady decline since 1994. The Conservatives share fell by more (down 11 points), while the Labour share increase by two points overall and improved in every ward, but they had too much to do in every ward to win a seat, something they haven’t managed to do in Sutton since 2002. UKIP managed to achieve 20 per cent share of the vote, probably taking most of their votes from the Conservatives, with the consequence of giving the Liberal Democrats a safer margin.
Despite holding onto roughly the same share of the vote as in 2010, when they won by a landslide, the Labour party lost 19 seats in **Tower Hamlets**. This was mainly due to the collapse of the Conservative and Liberal Democrat vote that had moved over to the new Tower Hamlets First party. This is the party led by the directly elected Mayor, Lutfur Rahman, since shortly after the 2010 elections. He won the Mayoral race again this time around, but it was the only one of the four Mayoral elections that was a relative success for his party; he won 55 per cent of the vote and received enough votes to make it necessary to count the second preference votes. There were significant boundary changes made for this borough in 2014, which means exact comparisons with 2010 are difficult, and the total number of seats available in the borough fell from 51 to 45. However, Tower Hamlets First won 18 seats with a 31 per cent share, still slightly fewer than the 22 that the Labour Party managed to hang onto. The Conservatives lost three of their seats leaving them with five, all by the river, which takes in the business districts around Canary Wharf. Despite the new housing for higher earning Docklands workers, the Conservatives share of the vote was only 11 per cent; the lowest since 1994.
The Labour Party consolidated their control in **Waltham Forest** by winning an additional eight seats, giving them 44 of the 60 seats available and achieving 44 per cent share of the vote. The Conservatives kept 16 of the 18 seats they had won in 2010. In Valley ward, and Hale End and Highams Park ward, where they held a full slate of three in 2010, they lost one of those seats to Labour. The Conservatives held all their seats in the north of the borough. Labour won all three seats from the Liberal Democrats in Leyton, and three further seats in three other wards – Cann Hall, Forest, and High Street. Between 1994 and 2010, Labour’s share of this borough’s vote fell from 53 per cent to 37 per cent. In 2006, held 19 seats. However, their share fell to 12 per cent in 2014 and despite receiving around 30 per cent of the vote in a handful of wards, never got close to winning a seat in any of them because Labour were so dominant and the Conservative share was low. UKIP managed a 20 per cent share in five wards easily won by Conservative candidates, while the Greens had a 12 per cent share across the borough.
In **Wandsworth**, the Conservatives lost six seats to Labour but still managed to keep control of the borough with 41 of the 60 seats. The Conservative share fell from 2010, but Labour improved theirs by almost four percentage points—entirely at the expense of the Liberal Democrats. Labour held onto all their seats from 2010 and added two in Roehampton and Putney Heath, and Bedford wards, and one
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in each of Earlsfield, and Queenstown wards. This gave Labour all the seats in Roehampton and Putney Heath, and a share of power in the other three. Labour finished with 19 seats, which was their highest since 1986. The minor parties historically do not win much in this borough. The seat won by the Liberal-SDP candidate in 1982 remains the only occurrence in the borough of a seat held by anyone other than the Conservatives and Labour. However, the Greens did achieve a 13 per cent borough-wide share, up from nine per cent in 2010.
The Conservatives and Labour's total share of the vote came to 74 per cent in the City of Westminster – few other boroughs are dominated by the top two parties quite as much. The Conservatives lost four seats to Labour but still comfortably held power in the borough with their 44 out of 60 seats. Labour took all three seats in Churchill ward and one of the three seats in Maida Vale from the Conservatives. Since 1999, the political balance in the borough has been stable with the Conservatives winning between 44 and 48 seats, while Labour has won between 15 and 20 seats. In terms of share of votes, both parties achieved a 75 per cent vote share, which was one of their highest in London. In terms of share of the vote, it was Labour's best performance since 1994, though this was not at the expense of the Conservatives, who shared held up well at 41 per cent. Instead, the Liberal Democrats fell away from 19 to six per cent. The Greens share remained healthy, increasing from 11 to 14 per cent.
**Directly elected mayors**
Voting in these elections is by the supplementary voting (SV) system. Under this system, voters may indicate both their first and second choice candidates, and, if no candidate receives an absolute majority of first-choice votes, all but the two leading candidates are eliminated and the votes of those eliminated redistributed according to their second-choice votes to determine the winner.
The elections in 2014 saw the fourth occasion on which voters in Hackney, Lewisham, and Newham were invited to elect their mayors directly, but only the second time that residents of Tower Hamlets had voted for a Mayor. The first occasion had been in a one off election that took place on 21 October 2010, when the turnout had only been 25.6 per cent. Lutfur Rahman then stood as an Independent candidate and won with almost 52 per cent of the vote. He officially took office on 25 October 2010.
The turnouts in each of the four Mayoral elections were broadly the same as in the local elections and Hackney, Lewisham and Newham were all fairly close to the London average of 38.9 per cent, but Tower Hamlets had the highest turnout in London with 47.6 per cent (Table 4). The proportion of ballot papers that were spoiled fell from 4.6 per cent in 2010 (including Tower Hamlets) to 2.3 per cent in 2014, across all four boroughs.
In 2006, all three mayoral elections required the use of the second preferences, but the procedure was needed only in Lewisham in 2010, and only in Tower Hamlets in 2014. Jules Pipe in Hackney, Steve
<table>
<thead>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal votes</td>
<td>Lacking official mark</td>
<td>More votes than entitled</td>
<td>Marked for identification void</td>
<td>Un-marked wholly void</td>
<td>Total</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hackney</td>
<td>174,558</td>
<td>69,146</td>
<td>39.6</td>
<td>49,230</td>
<td>19,916</td>
<td>0</td>
<td>472</td>
<td>0</td>
<td>387</td>
<td>1,459</td>
</tr>
<tr>
<td>Lewisham</td>
<td>196,609</td>
<td>73,212</td>
<td>37.2</td>
<td>58,831</td>
<td>14,381</td>
<td>3</td>
<td>574</td>
<td>0</td>
<td>429</td>
<td>1,002</td>
</tr>
<tr>
<td>Newham</td>
<td>195,419</td>
<td>79,346</td>
<td>40.6</td>
<td>63,651</td>
<td>15,695</td>
<td>0</td>
<td>1,597</td>
<td>0</td>
<td>775</td>
<td>2,374</td>
</tr>
<tr>
<td>Tower Hamlets</td>
<td>181,871</td>
<td>86,540</td>
<td>47.6</td>
<td>66,759</td>
<td>19,781</td>
<td>0</td>
<td>1,705</td>
<td>13</td>
<td>588</td>
<td>2,306</td>
</tr>
</tbody>
<tfoot></tfoot>
<table>
<table><tr><th>Borough</th><th>Electorate</th><th>Number voting</th><th>% poll</th><th>Polling stations</th><th>Postal votes</th><th>Lacking official mark</th><th>More votes than entitled</th><th>Marked for identification void</th><th>Un-marked wholly void</th><th>Total</th></tr><tr><td colspan='11'></td></tr><tr><td>Hackney</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Lewisham</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Newham</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td></tr><tr><td>Tower Hamlets</td><td></ td><table id='__annotation__rowinterval_'><tbody id='__annotation__rowinterval_body'><tr class='annotation_rowinterval_item'><th colspan='3'>Table 4 Mayoral elections - voting statistics<br/></th></tr></tbody></table>
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<th>Borough<br/>Electorate<br/>Number voting<br/>% poll<br/>Polling stations<br/>Postal votes<br/>Lacking official mark<br/>More votes than entitled<br/>Marked for identification void<br/>Un-marked wholly void<br/>Total<br/></th>
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<td>Hackney<br/>174,558<br/>69,146<br/>39.6<br/>49,230<br/>19,916<br/>0<br/>472<br/>0<br/>387<br/>1,459<br/></th>
<tr id='__annotation__table_tr_1' class='annotation_table_row_1'>
<td>Lewisham<br/>196,609<br/>73,212<br/>37.2<br/>58,831<br/>14,381<br/>3<br/>574<br/>0<br/>429<br/>1,002<br/></th>
<tr id='__annotation__table_tr_2' class='annotation_table_row_2'>
<td>Newham<br/>195,419<br/>79,346<br/>40.6<br/>63,651<br/>15,695<br/>0<br/>1,597<br/>0<br/>775<br/>2,374<br/></th>
<tr id='__annotation__table_tr_3' class='annotation_table_row_3'>
<td>Tower Hamlets<br/>181,871<br/>86,540<br/>47.6<br/>66,759<br/>19,781<br/>0<br/>1,705<br/>13<br/>588<br/>2,306<br/></th>
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<th style="padding-right: .5em;">Electorate:</th>
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<th style="padding-right: .5em;">% poll:</th>
<th style="padding-right: .5em;">Polling stations:</th>
<th style="padding-right: .5em;">Postal votes:</th>
<th style="padding-right: .5em;">Lacking official mark:</th>
<th style="padding-right: .5em;">More votes than entitled:</th>
<th style="padding-right: .5em;">Marked for identification void:</th>
<th style="padding-right: .5em;">Un-marked wholly void:</th>
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xxxviii LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Table 5 Mayoral elections - 2014 results**
| Borough/candidate | Party | First preference vote | Second preference vote | Total vote |
|---|---|---|---|---|
| | Number | % vote | Number | % vote |
| Hadney | Pipe, Jules * | LAB | 40,858 | 60.4 | ... | ... | ... |
| Borris, Mischa Ms. | GRE | 11,849 | 17.5 | ... | ... | ... |
| Kelly, Linda Ms. | CON | 7,853 | 11.6 | ... | ... | ... |
| De Deney, Simon | LD | 3,840 | 5.7 | ... | ... | ... |
| Korel, Mustafa | PHF | 3,265 | 4.8 | ... | ... | ... |
| **Total vote** | | **67,665** | **100.0** | **...** | **...** | **...** |
Lewisham
| Candidate Name | Party | First preference vote | Second preference vote | Total vote |
|---|---|---|---|---|
| Bullock, Steve * | LAB | 36,659 | 50.8 | ... | ... |
| Nundy, Simon J. | CON | 8,041 | 11.1 | ... | ... |
| Brooks, Duwayne LB | LB | 7,234 | 10.0 | ... | ... |
| Keogh, Michael J. J. GCREP LPRP UKIP TUSC Flood, Christopher TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC **Total vote** **72,210** **100.0** **...** **...** **...**
| Lewisham **Newham** Wales, Sir Robin * Mrozinski, Stefan Jan J. Meeas, David Lithgow, Alan A. Ms. Malik, Kamran Thorpe, David Austin, Lois A. Ms. Latin, Alex O. CPA CUP LD UKIP CON THF LAB CON UKIP GRE LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH TDH **Total vote** **76,972** **100.0** **...** **...** **...**
Tower Hamlets
Rahman, Lutfur * Biggs, John Wilford, Christopher McQueen, Nicholas Smith, Chris Banerji, Reetendra N. Hugo, Pierre Choudhury, Reza S. Khan, Mohammed K. A. Kadir, Hafiz A. CPA CUP CON THF LAB CON UKIP GRE UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP **Total vote** **84,234** **100.0** **7,356** **71,538** **100.0**
Note: For party codes see page xviii.
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xxxix
Bullock in Lewisham, Sir Robin Wales in Newham, and Lutfur Rahman in Tower Hamlets have all won each of the mayoral elections held thus far. The first three represent the Labour Party, while Lutfur Rahman stood for his own party, Tower Hamlets First, in 2014. (Table 5).
Jules Pipe in Hackney, increased his share of the vote from 54 to 60 per cent, however his closest challenger, with 18 per cent, was the Green party candidate Mischa Borris, who came fourth in 2010.
Steve Bullock just about managed half of the votes (51 per cent), which was about six percentage points more than he received in 2010 when it went to second preference votes. The Conservative, Liberal Democrat and Green candidates all achieved between 10 and 11 per cent of the vote.
In Newham, Sir Robin Wales received 61 per cent of the vote, but this was lower than in 2010 when he received 68 per cent. However, it was still comfortably the higher than the second placed candidate Stefan Mrozinski of the Conservative party who managed 18 per cent.
Lutfur Rahman won in Tower Hamlets, but compared with the other boroughs in 2014, the result was fairly close and it went to the second preference votes. In the first round he achieved 43 per cent of the vote, noticeably lower than the 52 per cent he won with in 2010. The Labour candidate, John Biggs, was in second place with 33 per cent of the vote. After the second round he achieved 52 per cent of the vote to Biggs’s 48 per cent.
**London Assembly constituency comparisons**
This analysis simulates the results which would have been obtained in a first-past-the-post contest in the GLA Constituencies using results from each set of all-London elections during the last 19 years (Table 7).
Note: Eight parliamentary constituencies cross GLA constituency boundaries. In order to make comparisons between these elections, votes from these eight areas have been split depending on the proportion of population aged 18 and over living in each area, and these are displayed in Table 6.
<table>
<thead>
<tr>
<th>Parliamentary Constituency</th>
<th>GLA Constituency</th>
<th>%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Chingford and Woodford Green</td>
<td>Havering and Redbridge</td>
<td>25.9%</td>
</tr>
<tr>
<td>Cities of London and Westminster</td>
<td>North East</td>
<td>74.1%</td>
</tr>
<tr>
<td>Dagenham and Rainham</td>
<td>City West Central</td>
<td>9.0%</td>
</tr>
<tr>
<td>Erith and Thamesmead</td>
<td>Havering and Redbridge</td>
<td>60.0%</td>
</tr>
<tr>
<td>Hampstead and Kilburn</td>
<td>Bexley and Bromley</td>
<td>40.0%</td>
</tr>
<tr>
<td>Lewisham West and Penge</td>
<td>Greenwich and Lewisham</td>
<td>56.3%</td>
</tr>
<tr>
<td>Leyton and Wanstead</td>
<td>Bexley and Bromley</td>
<td>43.7%</td>
</tr>
<tr>
<td>Ruislip, Northwood and Pinner</td>
<td>Brent and Harrow</td>
<td>71.2%</td>
</tr>
<tr>
<td></td>
<td>Ealing and Hillingdon</td>
<td>28.8%</td>
</tr>
<tr>
<td></td>
<td>Hammersmith and Fulham</td>
<td>44.2%</td>
</tr>
<tr>
<td></td>
<td>Greenwich and Lewisham</td>
<td>55.8%</td>
</tr>
<tr>
<td></td>
<td>Hammersmith and Fulham</td>
<td>72.7%</td>
</tr>
<tr>
<td></td>
<td>Brent and Harrow</td>
<td>33.2%</td>
</tr>
<tr>
<td></td>
<td>Ealing and Hillingdon</td>
<td>66.8%</td>
</tr>
</tbody>
</table>
Table 6 Proportions of adult population in parliamentary constituencies that are split between two GLA constituencies
xl
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Table 7** London Assembly constituency comparisons from recent elections
<table>
<thead>
<tr>
<th>Election</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>Others</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>Others</th>
<th>% share of vote</th>
<th>Elected</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Barnet and Camden Assembly constituency</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1992 parliamentary</td>
<td><strong>116,952</strong></td>
<td>89,681</td>
<td>31,814</td>
<td>4,350</td>
<td><strong>48.2</strong></td>
<td>36.9</td>
<td>13.1</td>
<td>1.8</td>
<td><strong>CON</strong></td>
<td></td>
</tr>
<tr>
<td>1994 London borough</td>
<td>47,120<br><strong>64,973</strong></td>
<td>29,102<br>9,976</td>
<td>2,457<br>45,749</td>
<td>31.2<br><strong>43.0</strong></td>
<td><strong>33.9</strong></td>
<td><strong>19.3</strong></td>
<td><strong>6.6</strong></td>
<td><strong>LAB</strong></td>
<td></td>
</tr>
<tr>
<td>1997 parliamentary</td>
<td>78,631<br><strong>118,058</strong></td>
<td><strong>22,295</strong></td>
<td><strong>21,452</strong></td>
<td><strong>33.9</strong></td>
<td><strong>50.9</strong></td>
<td><strong>11.8</strong></td>
<td><strong>3.3</strong></td>
<td><strong>LAB</strong></td>
<td></td>
</tr>
<tr>
<td>1998 London borough</td>
<td>47,605<br><strong>68,038</strong></td>
<td>24,281<br><strong>4,688</strong></td>
<td><strong>4,688</strong></td>
<td><strong>4.75</strong></td>
<td><strong>39.6</strong></td>
<td><strong>6.8</strong></td>
<td><strong>LAB</strong></td>
<td></td>
<td></td>
</tr>
<tr>
<td>2000 GLA Assembly</td>
<td><strong>41,583</strong></td>
<td><strong>41,032</strong></td>
<td><strong>22,295</strong></td>
<td><strong>21,452</strong></td>
<td><strong>32.9</strong></td>
<td><strong>32.5</strong></td>
<td><strong>17.6</strong></td>
<td><strong>17.0</strong></td>
<td><strong>CON</strong></td>
<td></td>
</tr>
<tr>
<td>2001 parliamentary</td>
<td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> LAB<br> <u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><u>LAB</u><u>↑</u><ul><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list-style-type:square;">></li></ul><ul style="list-style-type:square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li></ul><ul style="list_style_type: square;"><li style="list_style_type: square;">></li}& lt;br/>
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}
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{
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}
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{
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
xli
<table>
<thead>
<tr>
<td>Election</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td colspan="3">Votes</td>
<td colspan="3">% share of vote</td>
<td>Elected</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td>Others</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>Others</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>City and East London Assembly constituency</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1992 parliamentary</td>
<td>74,567<br>133,173</td>
<td>40,013<br>31,287</td>
<td>4,274<br>20,397</td>
<td>29.7<br>10.2</td>
<td><strong>52.8</strong><br><strong>57.7</strong></td>
<td><strong>15.9</strong><br><strong>19.4</strong></td>
<td><strong>1.7</strong><br><strong>12.7</strong></td>
<td></td>
<td><strong>LAB</strong></td>
</tr>
<tr>
<td>1994 London borough</td>
<td>16,491<br><strong>93,050</strong></td>
<td><strong>31,827</strong><br><strong>20,831</strong></td>
<td><strong>25,744</strong><br><strong>18.1</strong></td>
<td><strong>61.6</strong><br><strong>9.0</strong></td>
<td><strong>18.1</strong><br><strong>11.2</strong></td>
<td></td>
<td></td>
<td></td>
<td><strong>LAB</strong></td>
</tr>
<tr>
<td>1997 parliamentary</td>
<td>41,781<br><strong>142,021</strong></td>
<table border="1">
<tr><th style="text-align:center;">CON</th><th style="text-align:center;">LAB</th><th style="text-align:center;">LD</th><th style="text-align:center;">Others</th></tr><tr class="header_bottom_margin"><th colspan="4"></th></tr><tr><th style="text-align:left;">CON:</th><th style="text-align:left;">LAB:</th><th style="text-align:left;">LD:</th><th style="text-align:left;">Others:</th></tr><tr><td style="text-align:left;">40,013<br>31,287<br>20,397<br>25,744<br>18.1<br>61.6<br>9.0<br>18.1<br>11.2<br>52.8<br>57.7<br>15.9<br>19.4<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_BALB_LABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBALBA_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_LLAB_L 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Note: The highest vote and highest share in each election are shown in bold.
<img>A table showing the results of the London Borough Council elections.</img>
<table border="1">
<thead>
<tr>
<td>Election Year</th
<td>Election Result (Votes)</th
<td>Election Result (Seats)</th
<td>% of Votes (Share)</th
<td>% of Seats (Share)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)</th
<td>Elected (Yes/No)
<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan="3">Election Results by Party<th colspan "
<page_number>xlii</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Election</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>Others</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>Others</td>
<td>% share of vote</td>
<td>Elected</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Enfield and Haringey Assembly constituency</strong></td>
<td><strong>113,439</strong></td>
<td><strong>105,016</strong></td>
<td><strong>7,496</strong></td>
<td><strong>3,857</strong></td>
<td><strong>45.4</strong></td>
<td><strong>42.0</strong></td>
<td><strong>11.0</strong></td>
<td><strong>1.5</strong></td>
<td><strong>CON</strong></td>
<td></td>
</tr>
<tr>
<td>1992 parliamentary<br>1994 London borough<br>1997 parliamentary<br>1998 London borough<br>1998 London borough<br>2000 GLA Assembly<br>2001 parliamentary<br>2002 London borough<br>2004 GLA Assembly<br>2005 parliamentary<br>2006 London borough<br>2008 GLA Assembly<br>2010 London borough<br>2012 GLA Assembly<br>2014 London borough</td>
<td>48,031<br>76,435<br>6,450<br>33,522<br>55,203<br>31,207<br>34,509<br>33,955<br>55,638<br>39,699<br>42,461<br>64,248<br>86,022<br>36,660<br>88,495</td>
<td><strong>19,794</strong><br><strong>21,935</strong><br><strong>9,402</strong><br><strong>17,786</strong><br><strong>7,084</strong><br><strong>27,013</strong><br><strong>14,319</strong><br><strong>32,888</strong><br><strong>39,349</strong><br><strong>29,588</strong><br><strong>18,761</strong><br><strong>58,162</strong><br><strong>12,391</strong><br><strong>7,841</strong><br><strong>41,752</strong></td>
<td><strong>7,080</strong><br><strong>29.5</strong><br><strong>56.8</strong><br><strong>36.6</strong><br><strong>49.5</strong><br><strong>32.2</strong><br><strong>13.4</strong><br><strong>5.2</strong><br><strong>45.8</strong><br><strong>28.5</strong><br><strong>37.5</strong><br><strong>33.6</strong><br><strong>36.5</strong><br><strong>42.7</right></td>
<td colspan="4"><span style="color: red;">LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELABLABELAB LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL LABEL Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label LabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabellabel label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label </span></td>
<td colspan="4" style="text-align: right;"><span style="color: blue;">Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Elected Eected </span></td>
</tr>
<tr>
<td rowspan="2"><em style="font-weight: bold;">Greenwich and Lewisham Assembly constituency 1992 parliamentary 1994 London borough 1997 parliamentary 1998 London borough 2000 GLA Assembly 2001 parliamentary 2002 London borough 2004 GLA Assembly 2005 parliamentary 2006 London borough 2008 GLA Assembly 2010 London borough 2012 parliamentary 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London borough 2014 London Borough Council Elections May 20 </em></td>
<td rowspan="3">79,977<sup style="font-size: small;">a)</sup></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redbridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan="3"><em style="font-weight: bold;">Havering and Redridge Assembly constituency </em></td>
<td rowspan "rowspan= "style="" font-style:"italic""="">Note:</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and highest share in each election are shown in bold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">The highest vote and最高的 sharein each electionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
<th colspan= "rowspan= "style="" font-style:"italic""="">Thehighestvoteandhighestshareineachelectionareshowninbold.</th>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
xliii
<table>
<thead>
<tr>
<td>Election</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>Votes</td>
<td>% share of vote</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Others</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>Others</td>
<td>Elected</td>
</tr>
</thead>
<tbody>
<tr>
<td>Lambeth and Southwark Assembly constituency</td>
<td>1992 parliamentary<br>65,421<br>27,233<br>38,856<br>17,843<br>19,238<br>25,938<br>15,242<br>17,380<br>29,436<br>21,160<br>25,863<br>40,972<br>42,281<br>30,498<br>31,616</td>
<td>107,224<br>55,656<br>117,086<br>49,709<br>37,985<br>25,938<br>38,116<br>36,280<br>89,154<br>50,561<br>67,777<br>106,767<br>77,174<br>78,174<br>67,268</td>
<td>43,343<br>49,524<br>40,287<br>36,322<br>22,492<br>21,270<br>14,550<br>30,805<br>54,827<br>29,996<br>68,214<br>72,743<br>13,490<br>27,624<br>15,945</td>
<td>4,027<br>6,513<br>8,504<br>10,833<br>21,270<br>19.1<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton and Wandsworth Assembly constituency</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td>
<td rowspan="3"><strong colspan="4">LAB</strong></td>
</tr>
<tr>
<td>Merton parliamentary</td></tr>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Year (Year)</th>
<th>Election Type (Type)</th>
<th>Election Result (Result)</th>
<th>Election Result (Result)</th>
<th>Election Result (Result)</th>
<th>Election Result (Result)</th>
<th>Election Result (Result)</th>
<th>Election Result (Result)</th>
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Year (Year)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Type (Type)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Election Result (Result)</th>
<table border "none" cellspacing=0 cellpadding=0 align=center width=auto height=auto valign=top align=left class=tablestyle-plain
<tbody id='table_0'>
<tr id='row_0' class='header_row'>
<th id='col_0' class='header_column'>Election Year (Year)</th> <span id='col_0' class='data_column'></span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span>&...
</tbody id='table_0'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Year (Year)</th>&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Type (Type)</th>&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Type (Type)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class='tfoot_column'>Election Result (Result)&...&...
</tbody id='table_0_tfoot'>
<tfoot id='table_0_tfoot'>
<tr id='row_0' class='tfoot_row'>
<th id='col_0' class 'tfoot_column'>Election Year (Year)&...&...
</tbody id='#table_table_caption'
</thead
xliv
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Election</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td colspan="3">Votes</td>
<td colspan="3">% share of vote</td>
<td>Elected</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td>Others</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>Others</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>South West Assembly constituency</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1992 parliamentary</td>
<td>139,823</td>
<td>73,009</td>
<td>72,417</td>
<td>3,108</td>
<td><strong>48.7</strong></td>
<td>25.1</td>
<td>25.2</td>
<td>1.1</td>
<td><strong>CON</strong></td>
</tr>
<tr>
<td>1994 London borough</td>
<td>58,144</td>
<td>58,104</td>
<td><strong>62,474</strong></td>
<td>3,855</td>
<td>31.8</td>
<td>31.8</td>
<td><strong>34.2</strong></td>
<td>2.1</td>
<td><strong>LD</strong></td>
</tr>
<tr>
<td>1997 parliamentary</td>
<td><strong>95,141</strong></td>
<td>89,133</td>
<td>80,918</td>
<td>8,226</td>
<td><strong>34.8</strong></td>
<td>32.6</td>
<td>29.6</td>
<td>3.0</td>
<td><strong>CON</strong></td>
</tr>
<tr>
<td>1998 London borough</td>
<td><strong>48,998</strong></td>
<td>46,476</td>
<td><strong>45,500</strong></td>
<td><strong>6,512</strong></td>
<td><strong>33.2</strong></td>
<td>31.5</td>
<td>30.9</td>
<td>4.4</td>
<td><strong>CON</strong></td>
</tr>
<tr>
<td>2000 GLA Assembly</td>
<td><strong>48,248</strong></td>
<td>31,065</td>
<td><strong>41,189</strong></td>
<td><strong>15,745</strong></td>
<td><strong>35.4</strong></td>
<td>22.8</td>
<td>30.2</td>
<td><strong>11.6</strong></td>
<td><strong>CON</strong></td>
</tr>
<tr>
<td>2001 parliamentary</td>
<td><strong>70,777</strong></td>
<td><strong>67,666</strong></td>
<td><strong>67,666</strong></td>
<td><strong>5,055</strong></td>
<td><strong>30.9</strong></td>
<td><strong>30.9</strong></td>
<td><strong>36.2</strong></td>
<td><strong>.0.</strong></td>
<td><strong>P&D </strong></td>
</tr>
<tr>
<td>2002 London borough</td>
<td><strong>51,148</strong></td>
<td>29,899<br/>29,899<br/>45,203<br/>15,556<br/><br/></td><br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>xlv</page_number>
<table>
<thead>
<tr>
<th>Seats (FPTP)</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>Others</th>
</tr>
</thead>
<tbody>
<tr>
<td>1992 parliamentary</td>
<td><strong>10</strong></td>
<td>4</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>1994 London borough</td>
<td>4</td>
<td>9</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>1997 parliamentary</td>
<td>3</td>
<td><strong>11</strong></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>1998 London borough</td>
<td>5</td>
<td><strong>9</strong></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2000 GLA Assembly</td>
<td><strong>8</strong></td>
<td>6</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2001 parliamentary</td>
<td><strong>2</strong></td>
<td><strong>11</strong></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2003 London borough</td>
<td><strong>7</strong></td>
<td>7</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2004 GLA Assembly</td>
<td><strong>9</strong></td>
<td>5</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2005 parliamentary</td>
<td><strong>4</strong></td>
<td><strong>9</strong></td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<td>2006 London borough</td>
<td><strong>9</strong></td>
<td>5</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2008 GLA Assembly</td>
<td><strong>8</strong></td>
<td><strong>6</strong></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2010 London borough</td>
<td><strong>8</strong></td>
<td><strong>6</strong></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2010 parliamentary</td>
<td><strong>7</strong></td>
<td><strong>7</strong></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>2012 GLA Assembly</td>
<td><strong>6</strong></td>
<td><strong>8</strong></td>
<td><strong>0 </strong></td>
<td><strong>0 </strong></td>
</tr>
<tr>
<td>2014 London borough</td>
<td><strong>4 </strong></td>
<td><strong><u style="text-decoration: underline;">10 </u></strong></td>
<td><u style="text-decoration: underline;">0 </u></td>
<td><u style="text-decoration: underline;">0 </u></td>
</tr>
<tr style="font-weight:bold;">
<th>Note: The highest vote and highest share in each election are shown in bold.</th><th></th><th></th><th></th><th></th></tr></tbody></table>
Note: The highest vote and highest share in each election are shown in bold.
xlvi LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# The European Elections
## Introduction
The European Parliamentary Election took place on the same day as the borough elections, and the results were announced on Sunday 25 May 2014 to coincide with the other results around Europe. Voting data for each of the London boroughs and the City are available, though like 2009, there is no ward data available because the majority of boroughs did not collect this data since there is no requirement for it. However, London is a single constituency in this election, and the votes from all 33 London authorities are combined in order to find the 8 European representatives for London.
In 2004, London's representation reduced from ten to nine seats, and in 2009, it reduced further to eight seats. It has remained at this number in 2014. In England, Scotland and Wales the voting system for the European elections is proportional representation - regional closed list. This means that political parties put forward names of candidates in rank order, the number of candidates being no more than the number of seats allowed for each region. These elections are conducted on the basis of proportional representation within regions using a pure form of the d'Hondt formula (there was no lower limit on the proportionality factor). The overall result is then adjusted by adding or subtracting seats using a quota system. The quota is the total number of votes received by a party or independent candidate divided by the number of seats already gained in that region plus one. A list of all nominated candidates and parties are listed on page 231.
Prior to its uniform adoption of proportional representation in 1999, the United Kingdom used first-past-the-post for the European elections and between 1979 and 1994 London was made up of ten constituencies.
## Turnout
Around 16.5 million UK residents voted in the election, while over 2.2 million Londoners voted, which was about 59 thousand fewer than in the borough elections. However, the number of Londoners entitled to vote in the European election was 389,000 fewer. Therefore the turnout in London was 40.5 per cent, compared with 38.9 per cent in the local elections. The turnout in London was up from 33.5 per cent five years ago when there were no other elections taking place. Moreover, the rest of the UK did not have other elections in May 2014, and this led to a lower turnout, compared with London, of 34.3 per cent, almost exactly the same as in 2009 (34.2 per cent). The borough with the highest poll was Tower Hamlets (50.9 per cent), and the lowest was Kensington and Chelsea (33.6 per cent). Around 23 per cent of votes were made by post, and about 1.1 per cent of votes were rejected. A full breakdown of statistics by borough is available on page 228.
## Result
In London, Labour won four seats, two more than in 2009. The Conservatives lost one seat leaving them with two. The Greens and UKIP both held onto their only seat, while the Liberal Democrats
**Figure 4 European Parliament seats won in London by party, 1979-2014**
<img>A bar chart showing the number of seats won by each party in European elections from 1979 to 2014.
The x-axis shows years: 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014.
The y-axis shows number of seats won from 0 to 10.
The bars represent:
- UKIP: Blue bars with white tops.
- GRE: Green bars.
- LD: Yellow bars.
- LAB: Red bars.
- CON: Blue bars with black tops.
Legend:
UKIP: Blue bar with white top
GRE: Green bar
LD: Yellow bar
LAB: Red bar
CON: Blue bar with black top
</img>
Note: Between 1979 and 1994 first past the post elections took place in London's ten European constituencies.
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xlvii
Figure 5 Vote share share of major parties in London European elections, 1999 to 2014
<img>Line graph showing vote share of major parties in London European elections, 1999 to 2014.
The y-axis represents % share from 0 to 40.
The x-axis represents years: 1999, 2004, 2009, 2014.
The legend shows:
LAB (red line)
CON (blue line)
LD (yellow line)
GRE (green line)
UKIP (purple line)
BNP (dark blue line).
Data points:
1999: LAB ~35%, CON ~30%, LD ~10%, GRE ~5%, UKIP ~5%, BNP ~5%
2004: LAB ~35%, CON ~30%, LD ~15%, GRE ~7%, UKIP ~15%, BNP ~5%
2009: LAB ~35%, CON ~30%, LD ~15%, GRE ~7%, UKIP ~15%, BNP ~5%
2014: LAB ~35%, CON ~30%, LD ~15%, GRE ~7%, UKIP ~15%, BNP ~5%.</img>
lost their only seat (Figure 4). The order in which these seats were distributed using, proportion representation is shown on page 230.
In total, 17 parties (including independents) stood for the European election in London in 2014, two fewer than in 2009, far more than in 2004 when just ten parties were involved, though only four more than in 1999. Only the six parties shown in Figure 5 have stood in all European elections since 1999. The number of votes for the parties outside of these six had steadily increased to 11 per cent in 2009 but fell to seven per cent in 2014.
The Labour party had comfortably the highest share of 37 per cent, far higher than in 2009 when their share was 21 per cent, and was similar to their London share in the borough elections.
The Conservatives share fell to 23 per cent from 27 per cent five years ago. This was three points lower than their share in the local elections. The Liberal Democrats’ share halved to leave them with 7 per cent – even less than their local election share of 10 per cent. The Green Party share fell by two points, to 9 per cent. UKIP increased their share by six points to 17 per cent, significantly higher than the 10 per cent share in the local elections, indicating that a decent proportion of voters vote differently in different regions.
Figure 6 Seats won by party and UK region, European elections, 2014
<img>Bar chart showing seats won by party and UK region, European elections, 2014.
Legend:
UKIP (purple)
LAB (red)
CON (blue)
GRE (green)
LD (yellow)
SNP (orange)
Plaid Cymru (light blue)
Ulster Unionist (pink)
Democratic Unionist (brown)
Sinn Féin (grey).
Seats won:
East Midlands: UKIP 3, LAB 1, CON 2
East of England: LAB 3, CON 3
London: LAB 4, CON 3
North East England: LAB 3
North West England: CON 3
South East England: LAB 3, CON 3
South West England: LAB 2, CON 2
West Midlands: LAB 3
Yorkshire and the Humber: LAB 3
Scotland: LAB 1, CON 1
Wales: LAB 2
Northern Ireland: LAB 1</img>
Seats won:
- East Midlands: UKIP 3, LAB 1, CON 2
- East of England: LAB 3, CON 3
- London: LAB 4, CON 3
- North East England: LAB 3
- North West England: CON 3
- South East England: LAB 3, CON 3
- South West England: LAB 2, CON 2
- West Midlands: LAB 3
- Yorkshire and the Humber: LAB 3
- Scotland: LAB 1, CON 1
- Wales: LAB 2
- Northern Ireland: LAB 1
xlviii
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
elections. Comparing the share of UKIP to the Conservatives between 1999 and 2014 shows that they have been the inverse of each other, and this is shown by trend on Figure 5 where these two lines ‘virtually ‘mirror’ each other’. The total share of both Conservatives and UKIP vote combined has been between 38 and 39 per cent in local elections since 1999, perhaps indicating that these two parties have taken varying shares from the same pool of voters. However, it is also worth noting that the BNP and UKIP vote combined, only increased from 16 to 18 per cent between 2004 and 2014, though BNP’s share fell to less than one per cent in 2014.
UKIP had a greater share in every borough in the European election compared with the local elections, but most notably they achieved a 44 per cent share in Havering, and a 38 per cent share in Bexley – 15 and 17 percentage points higher respectively. In Bexley’s case, most of that difference was accounted for by a similar lower share that the Conservatives achieved there, whereas in Havering the difference was more due to the Conservative Association’s swing towards UKIP (from 28 to 35 per cent). In Tower Hamlets, Tower Hamlets First voters switched over to Labour for the European election. In Sutton, the Liberal Democrats performed far worse in the European elections – a difference of 16 points, with about half of those voting for UKIP instead and the rest being spread across the other parties. In Kensington and Chelsea, around 15 per cent voted for UKIP, much higher than the one per cent that voted for them in the local elections, (which was likely the consequence of only two UKIP candidates standing in the borough). Most of the difference was accounted for by Conservative voters moving to UKIP. Figures for the City of London are available for this election. Residents of the City were more likely to vote for the Conservatives and for the Greens Compared with the London average (Tables 9 and 11).
**London compared with UK voting**
The results in London were not fully reflected in the rest of the country. In the UK overall, UKIP achieved a 27 per cent share, giving them the largest share and 24 seats out of a total of 73 – 11 more than in 2009 (Table 8). Labour had a strong performance with a 24 per cent share, up nine points compared with five years ago and giving them seven more seats. The Conservatives lost four per cent share and six seats, while the Liberal Democrats poor showing in London was replicated across the country where they held onto only one of their 11 seats, which was in the South East (Figure 6).
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 xlix
**Table 8** **Summary of European election result, UK and London, 2014**
<table>
<thead>
<tr>
<td>Party</td>
<td colspan="3">UK</td>
<td colspan="3">London</td>
</tr>
<tr>
<td></td>
<td>Votes received</td>
<td>Share</td>
<td>+/- share (%)</td>
<td>Seats won</td>
<td>+/- seats</td>
<td>Votes received</td>
<td>Share</td>
<td>+/- share (%)</td>
<td>Seats won</td>
<td>+/- seats</td>
</tr>
</thead>
<tbody>
<tr>
<td>UK Independence Party</td>
<td>4,376,635</td>
<td>26.6</td>
<td>10.6</td>
<td>24</td>
<td>11</td>
<td>371,133</td>
<td>16.9</td>
<td>6.1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<td>Labour Party</td>
<td>4,020,646</td>
<td>24.4</td>
<td>9.2</td>
<td>20</td>
<td>7</td>
<td>806,959</td>
<td>36.7</td>
<td>15.4</td>
<td>4</td>
<td>2</td>
</tr>
<tr>
<td>Conservative Party</td>
<td>3,792,549</td>
<td>23.0</td>
<td>-3.8</td>
<td>19</td>
<td>-6</td>
<td>495,639</td>
<td>22.5</td>
<td>-4.8</td>
<td>2</td>
<td>-1</td>
</tr>
<tr>
<td>Green Party</td>
<td>1,136,670</td>
<td>6.9</td>
<td>-0.9</td>
<td>3</td>
<td>1</td>
<td>196,419</td>
<td>8.9</td>
<td>-2.0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<td>Scottish National Party</td>
<td>385,503</td>
<td>2.4</td>
<td>0.3</td>
<table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="4"></th></tr></tbody></table>
<tr style="background-color: #e6e6e6;">
<td>Liberals Democrats (LD)</table>
<tr style="background-color: #e6e6e6;">
<td>Sinn Féin (SF)</table>
<tr style="background-color: #e6e6e6;">
<td>Democratic Unionist Party (DUP)</table>
<tr style="background-color: #e6e6e6;">
<td>Plaid Cymru (PC)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e6;">
<td>Afghanistan (AF)</table>
<tr style="background-color: #e6e6e
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I
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Table 9** Number of votes for parties in European elections, by borough, 2014
<table>
<thead>
<tr>
<th>Borough</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>UKIP</th>
<th>BNP</th>
<th>Others</th>
<th>Total valid</th>
</tr>
</thead>
<tbody>
<tr>
<td>City of London</td>
<td>686</td>
<td>546</td>
<td>311</td>
<td>291</td>
<td>313</td>
<td>10</td>
<td>117</td>
<td>2,274</td>
</tr>
<tr>
<td>Barking and Dagenham</td>
<td>3,728</td>
<td>22,369</td>
<td>594</td>
<td>1,335</td>
<td>12,759</td>
<td>1,151</td>
<td>3,408</td>
<td>45,344</td>
</tr>
<tr>
<td>Barnet</td>
<td>32,234</td>
<td>28,774</td>
<td>4,418</td>
<td>7,362</td>
<td>14,039</td>
<td>464</td>
<td>6,185</td>
<td>93,476</td>
</tr>
<tr>
<td>Bexley</td>
<td>17,575</td>
<td>14,142</td>
<td>1,592</td>
<td>3,035</td>
<td>25,642</td>
<td>1,184</td>
<td>5,055</td>
<td>68,225</td>
</tr>
<tr>
<td>Brent</td>
<td>13,277</td>
<td>34,451</td>
<td>7,233</td>
<td>5,123</td>
<td>6,414</td>
<td>698</td>
<td>6,315</td>
<td>73,602</td>
</tr>
<tr>
<td>Bromley</td>
<td>30,573</td>
<td>14,915</td>
<td>5,420</td>
<td>7,590</td>
<td>29,386</td>
<td>625</td>
<td>9,567</td>
<td>94,466</td>
</tr>
<tr>
<td>Camden</td>
<td>11,343</td>
<td>23,294</td>
<td>5,568</td>
<td>8,132</td>
<td>5,337</td>
<td>356</td>
<td>3,670</td>
<td>57,700</td>
</tr>
<tr>
<td>Croydon</td>
<td>26,687</td>
<td>32,439</td>
<td>3,768</td>
<td>6,829</td>
<td>19,560</td>
<td>1,031</td>
<td>7,373</td>
<td>97,687</td>
</tr>
<tr>
<td>Ealing</td>
<td>19,108<br/>Haringey<br/>Greenwich<br/>Hackney<br/>Hammersmith and Fulham<br/>Harrow<br/>Hafering<br/>Hillingdon<br/>Hounslow<br/>Islington<br/>Kensington and Chelsea<br/>Kingston upon Thames<br/>Lambeth<br/>Lewisham<br/>Merton<br/>Newham<br/>Redbridge<br/>Richmond upon Thames<br/>Southwark<br/>Sutton<br/>Tower Hamlets<br/>Waltham Forest<br/>Wandsworth<br/>Westminster<br/>Inner London<br/>Outer London<br/></table>
<table id="table_1">
<thead><tr><th></th><th>Votes (total)</th><th>Votes (valid)</th><th>Votes (invalid)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th><th>Votes (invalid %)</th></tr></thead><tbody><tr class="header_bottom_margin"><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></td><td colspan="2"></ td></tr></tbody></table>
**London** 495,639 806,959 148,013 196,419 731,133 19,246 163,066 2,200,475
**Table 10** Vote share share of major parties in London European elections, 1999 to 2014
<table id="table_2">
<thead><tr><th></th><th>CON LAB LD GRE UKIP BNP Others Turnout </table>
<table id="table_3">
<thead><tr><th></table>
<table id="table_4">
<thead><tr><table id="table_5">
<thead id="table_6"><tr id="row_0"><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id=""><thead id=""><tbody id=""><tr id="">
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>li</page_number>
**Table 11 Share of votes for main parties in European elections, by borough, 2014**
<table>
<thead>
<tr>
<th>Borough</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>UKIP</th>
<th>BNP</th>
<th>Others</th>
</tr>
</thead>
<tbody>
<tr>
<td>City of London</td>
<td>30.2</td>
<td>24.0</td>
<td>13.7</td>
<td>12.8</td>
<td>13.8</td>
<td>0.4</td>
<td>5.1</td>
</tr>
<tr>
<td>Barking and Dagenham</td>
<td>8.2</td>
<td>49.3</td>
<td>1.3</td>
<td>2.9</td>
<td>28.1</td>
<td>2.5</td>
<td>7.5</td>
</tr>
<tr>
<td>Barnet</td>
<td>34.5</td>
<td>30.8</td>
<td>4.7</td>
<td>7.9</td>
<td>15.0</td>
<td>0.5</td>
<td>6.6</td>
</tr>
<tr>
<td>Bexley</td>
<td>25.8</td>
<td>20.7</td>
<td>2.3</td>
<td>4.4</td>
<td>37.6</td>
<td>1.7</td>
<td>7.4</td>
</tr>
<tr>
<td>Brent</td>
<td>18.0</td>
<td>46.8</td>
<td>10.0</td>
<td>7.0</td>
<td>8.7</td>
<td>0.9</td>
<td>8.6</td>
</tr>
<tr>
<td>Bromley</td>
<td>32.4</td>
<td>15.8</td>
<td>5.7</td>
<td>8.0</td>
<td>31.1</td>
<td>0.7</td>
<td>6.3</td>
</tr>
<tr>
<td>Camden</td>
<td>19.7</td>
<td>40.4</td>
<td>9.6</td>
<td>14.1</td>
<td>9.2</td>
<td>0.6</td>
<td>6.4</td>
</tr>
<tr>
<td>Croydon</td>
<td>27.3</td>
<td>33.2</td>
<td>3.9</td>
<td>7.0</td>
<td>20.0</td>
<td>1.1</td>
<td>7.5</td>
</tr>
<tr>
<td>Ealing</td>
<td>20.0</td>
<td>45.6</td>
<td>5.7</td>
<td>7.3</td>
<td>11.2</td>
<td>0.9</td>
<td>9.2</td>
</tr>
<tr>
<td>Enfield</td>
<td>22.6</td>
<td>41.6</td>
<td>3.0</td>
<td>6.6</td><u style="text-decoration: underline;">185.</u><br><u style="text-decoration: underline;">08.</u><br><u style="text-decoration: underline;">68.</u><br><u style="text-decoration: underline;">85.</u><br><u style="text-decoration: underline;">60.</u><br><u style="text-decoration: underline;">60.</u><br><u style="text-decoration: underline;">92.</u><br><u style="text-decoration: underline;">80.</u><br><u style="text-decoration: underline;">77.</u><br><u style="text-decoration: underline;">83.</u><br><u style="text-decoration: underline;">59.</u><br><u style="text-decoration: underline;">60.</u><br><u style="text-decoration: underline;">92.</u><br><u style="text-decoration: underline;">80.</u><br><u style="text-decoration: underline;">77.</u><br><u style="text-decoration: underline;">83.</u><br><u style="text-decoration: underline;">59.</u><br><u style="text-decoration: underline;">60.</u><br><u style="text-decoration: underline;">92.</u><br><u style="text-decoration: underline;">80.</u><br><u style="text-decoration: underline;">77.</u><br><u style="text-decoration: underline;">83.</u><br><u style="text-decoration: underline;">59.</u><br><u style="text-decoration: underline;">60.</u><br><u style="text-decoration: underline;">92.</u><br><u style="text-decoration: underline;">80.</u><br><u style="text-decoration: underline;">77.</u><br><u style="text-decoration: underline;">83.</u><br><u style="text-decoration: underline;">59.</u></tr>
<tr id='table_thead'>
<th colspan='7'>London (Conservative)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Labour)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Liberal Democrats)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Green Party)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (UK Independence Party)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (British National Party)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Other parties)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</th></tr>
<tr id='table_thead'>
<th colspan='7'>London (Total)</h
Iii LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Technical notes**
**The London Borough Councils**
The London boroughs were constituted under the London Government Act, 1963 and the first elections to the new councils were held on 7 May 1964. Prior to 1976, councillors were elected at general elections held every three years but as a result of an order made under the Local Government Act, 1972, the term of office of members of London borough councils was increased to four years. Before 1978 each council included aldermen, to a maximum of one sixth of the councillors, elected by the councillors from among themselves or from persons qualified to be councillors. Under the Local Government Act, 1972, the office of alderman of a London borough council ceased to exist after the 1978 elections.
The mayor of each borough is elected annually by each council from among the councillors, with the following exception: under the Local Government Act, 2000, a council proposing a directly elected mayor must carry out a referendum on its proposals, the result of which is binding on the local authority.
Following ward boundary changes which became effective on 22 May 2014, the total number of wards in London increased from 624 to 629 with changes in Hackney, Kensington and Chelsea, and Tower Hamlets. The number of wards per borough varies from 16 in Hammersmith and Fulham, Islington, and Kingston upon Thames to 24 in Croydon. The number of councillors per borough ranges from 45 in Tower Hamlets to 70 in Croydon. Most London wards now return 3 members, but 33 wards return fewer than 3 members and the effects seen in boroughs. Bromley with four two-seat and one single-seat ward, Croydon with two two-seat wards, Hackney with one two-seat ward, Hammersmith and Fulham with two two-seat wards, Hillingdon with one two-seat ward, Kensington and Chelsea with four two-seat wards, and Tower Hamlets with 11 two-seat wards and two one-seat wards.
**City of London**
The Corporation of London is constituted differently to the London boroughs and is, therefore, not included in the current publication. It consists of common councilmen and aldermen in addition to the Lord Mayor. The aldermen are elected for life by the ward voters (who include business as well as resident voters).
Where comparisons have been made between the borough election data and other elections, the City of London has been excluded from the Cities of London and Westminster constituency and the North East GLA Assembly constituency. Current ward boundaries fit within the 2010 parliamentary constituency boundaries.
**Tables and calculations**
The main results and the share of the votes by party are combined to provide a single section for each London borough giving all the most important information. This appears between pages 1 and 192.
The general method for calculating share of the votes follows that used in 1994. In calculating vote share, residents' associations, independent residents, tenants and residents have been combined into a single grouping which is given the abbreviation REA in the borough statistics.
All percentage vote figures include a correction to reduce the errors due both to parties or groups failing to nominate candidates for all seats in a ward, and to the differing numbers of seats in wards within and between boroughs. The correction chosen is the use of average votes per candidate for any given party or group. Percentages are based on the sum of average votes for a ward or borough, which is thus used as a base against which the number of valid votes cast in a single seat election. Percentages do not necessarily add to 100 due to rounding.
<table>
<thead>
<tr>
<td></td>
<td>Wards</td>
<td>Seats</td>
<td>Seats per Ward</td>
<td>Wards</td>
<td>Seats</td>
<td>Seats per Ward</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hammersmith & Fulham</td>
<td>16</td>
<td>33</td>
<td>2</td>
<td>16</td>
<td>33</td>
<td>2</td>
</tr>
<tr>
<td>Kensington & Chelsea</td>
<td>16</td>
<td>33</td>
<td>2</td>
<td>16</td>
<td>33</td>
<td>2</td>
</tr>
<tr>
<td>Tower Hamlets</td>
<td>11</td>
<td>33</td>
<td>3</td>
<td>11</td>
<td>33</td>
<td>3</td>
</tr>
<tr>
<td>Croydon</td>
<td>24</td>
<td>70</td>
<td>3</td>
<td>24</td>
<td>70</td>
<td>3</td>
</tr>
<tr>
<td>Bromley</td>
<td>45</td>
<td>45</td>
<td>1</td>
<td>45</td>
<td>45</td>
<td>1</td>
</tr>
<tr>
<td>Hillingdon</td>
<td>24</td>
<td>70</td>
<td>3</td>
<td>24</td>
<td>70</td>
<td>3</td>
</tr>
<tr>
<td>Hackney</td>
<td>26</td>
<td>70</td>
<td>2.7%</td>
<td>26</td>
<td>70</td>
<td>2.7%</td>
</tr>
<tr>
<td>Kensington & Chelsea (Conservative)</td>
<td>16 (Conservative)</td>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>liii</page_number>
**Candidates’ names**
Where known candidates’ principal names are shown as their name as per the electoral roll, and otherwise are shown as they appear on the nomination papers.
**Acknowledgements**
Once again we should like to thank the Returning Officers of the London boroughs who supplied the basic information presented in this volume. Our thanks are also due to the many other members and officers of the London boroughs who were instrumental in improving the quality of our information.
**Maps**
The maps relating to the 1994 and 1998 elections use the boundary as at 1 April 1996 and there are thus minor discrepancies in the 1994 map for boroughs which had been subject to changes in 1995 and 1996. From 2002 to 2010, the ward map shows wards that came into effect on 2 May 2002. From 2014, the ward map shows boundaries that came into effect on 22 May 2014, which affected Hackney, Kensington and Chelsea, and Tower Hamlets.
**General statistics**
The General statistics shown on the first page of each borough section are sourced as follows. The electorates are taken from the data provided for this series of publications by the Returning Officers. The mid year resident population is from the GLA population projection 2013 round SHLAABased (February 2014), provided by GLA Intelligence Unit. The unemployment rates are from the ONS Model-based Estimates of Unemployment (April to March). The average council tax data are from the Communities and Local Government. Additional notes are also provided at the head of individual sections.
**Using the results section**
The share of the poll data shown in the results section are based on the average number of votes per party per ward. For example, if there are three candidates for one party, the total number of votes for that party would be divided by three, whereas wards with a single candidate would be divided by one. For the borough and constituency shares, the figures for wards (that is votes divided by candidates) within those areas are summed.
Gains are shown at the top of the results for each ward and show changes since the last election in 2010. Gains do not include any changes of allegiance or from by-elections.
Candidates marked with an asterisk (*) indicates that the candidate was a sitting councillor in that ward is the incumbent. This takes account of changes that occurred from a by-election. Other points of note: candidates marked in bold were elected, candidates with ‘Ms’ after their name indicates a female candidate, and names are shown as surname, then first name, then initials of any middle names. The names displayed are as provided by the borough election officers and, in some cases, are nicknames;
<img>A map showing London boroughs and wards.</img>
liv LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>1</page_number>
**Barking and Dagenham**
Labour administration
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>Abbey</td>
<td>11</td>
<td>Mayesbrook</td>
</tr>
<tr>
<td>2</td>
<td>Ailbourn</td>
<td>12</td>
<td>Parsloes</td>
</tr>
<tr>
<td>3</td>
<td>Becontree</td>
<td>13</td>
<td>Riverside</td>
</tr>
<tr>
<td>4</td>
<td>Chadwell Heath</td>
<td>14</td>
<td>Thames</td>
</tr>
<tr>
<td>5</td>
<td>Eastbrook</td>
<td>15</td>
<td>Valence</td>
</tr>
<tr>
<td>6</td>
<td>Eastbury</td>
<td>16</td>
<td>Village</td>
</tr>
<tr>
<td>7</td>
<td>Cascobrook</td>
<td>17</td>
<td>Whalebone</td>
</tr>
<tr>
<td>8</td>
<td>Goresbrook</td>
<td></td>
<td></td>
</tr>
<tr>
<td>9</td>
<td>Heath</td>
<td></td>
<td></td>
</tr>
<tr>
<td>10</td>
<td>Longbridge</td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #FF0000;">
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<span style="font-size: 1.5em;">State of the parties, 1964-2014</span> <span style="font-size: 1.5em;">% share of the poll, 1964-2014</span>
<table border="1">
<thead>
<tr style="background-color: #EFEFEF;">
<th rowspan="2">22.5.14 CON LAB LD other total % poll CON LAB LD other % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-2014 CON LAB LD other total % share of the poll, 1964-20
<table border="none">
<thead style="background-color: #EFEFEF;">
<tr style="background-color: #EFEFEF;">
<th style="text-align: center;">CONLABLDothertotal%</th><th style="text-align: center;">%pollCONLABLDothertotal%</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</th><th style="text-align: center;">%shareofthepoll,</table>
General statistics
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<tr style="background-color: #EFEFEF;">
<th>Electorate May 20
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<page_number>General statistics Barking and Dagenham London Electorate May 20
May 20
Resident population aged over Mid
Mid
Estimated %
Band 'D' council tax May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
May
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td colspan="13">% share of the poll</td>
</tr>
<tr>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Abbey</td>
<td>22.5.14 36.8</td>
<td>9.2</td>
<td>56.6</td>
<td>6.0</td>
<td>8.3</td>
<td>--</td>
<td>17.5</td>
<td>--</td>
<td>1.5</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>6.5.10 58.1</td>
<td>12.8</td>
<td>66.5</td>
<td>12.4</td>
<td>--</td>
<td>6.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Alibon</td>
<td>22.5.14 34.3</td>
<td>6.9</td>
<td>50.8</td>
<td>5.4</td>
<td>--</td>
<td>--</td>
<td>36.9</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>6.5.10 59.2</td>
<td>15.5</td>
<td>47.9</td>
<td>11.9</td>
<td>--</td>
<td>24.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="border-top: 1px solid black;">
<th>Barking and Dagenham<br>Elections May 2014<br>% share of the poll<br>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br>Abbey 22.5.14 36.8 9.2 56.6 6.0 8.3 -- 17.5 -- 1.5 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
<br>Alibon 22.5.14 34.3 6.9 50.8 5.4 - - 36.9 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
<br>Becontree 22.5.14 36.8 7.5 61.0 4.8 - - 26.7 - - 5.8 - - 3.7
<br>Chadwell Heath 22.5.14 36.5 11.9 45.2 5.2 10.4 - 27.3 7.7 --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---
<br>Eastbrook 22.5.14 36.5 17.0 44.8 - - 6.1 32.2 --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---
<br>Eastbury 22.5.14 34.6 8.3 47.8 8.3 - - 26.8 --- --- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ----
<br>Gascoigne 22.5.14 37.6 7.6 64.2 - - 15.5 7.7 ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- -----
<br>Goresbrook 22.5.14 34.7 6.6 43.7 4.0 - - 14.4 31.3 ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- ------- -------
<br>Heath 22.5.14 35.0 11.0 48.8 6.9 - - 33.3 -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- -------- --------
<br>Longbridge
<br>River
<br>Thames
<br>Valence
<br>Village
<br>Whalebone
<br>6.<page_number>Barking and Dagenham Elections May 2014 % share of the poll Date %poll CON LAB LD GRE BNP UKIP IND REA Others Abbey
<br>6.<page_number>Barking and Dagenham Elections May 2014 % share of the poll Date %poll CON LAB LD GRE BNP UKIP IND REA Others Abbey
<br>Alibon
<br>Alibon
<br>Becontree
<br>Becontree
<br>Chadwell Heath
<br>Chadwell Heath
<br>Eastbrook
<br>Eastbrook
<br>Eastbury
<br>Eastbury
<br>Gascoigne
<br>Gascoigne
<br>Goresbrook
<br>Goresbrook
<br>Heath
<br>Heath
<br>Longbridge
<br>River
<br>River
<br>Thames
<br>Valence
<br>Village
<br>Village
<br>Whalebone
<br>-<page_number>Barking and Dagenham Elections May 2014 % share of the poll Date %poll CON LAB LD GRE BNP UKIP IND REA Others Abbey
<br>-<page_number>Barking and Dagenham Elections May 2014 % share of the poll Date %poll CON LAB LD GRE BNP UKIP IND REA Others Abbey
<br>Alibon
<br>Alibon
<br>Becontree
<br>Becontree
<br>Chadwell Heath
<br>Chadwell Heath
<br>Eastbrook
<br>Eastbrook
<br>Eastbury
<br>Eastbury
<br>Gascoigne
<br>Gascoigne
<br>Goresbrook
<br>Goresbrook
<br>Heath
<br>Heath
<br>Longbridge
<br>River
<br>River
<br>Thames
<br>Valence
<br>Village
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>3</page_number>
**Results**
<table>
<thead>
<tr>
<th>Abbey<br>No change</th>
<th>Turnout 36.8%</th>
<th>Eastbrook<br>No change</th>
<th>Turnout 36.5%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Butt, Laila Ms.<sup>*</sup></td>
<td>LAB<br>2,252</td>
<td>Mccarthy, Michael A.<sup>*</sup></td>
<td>LAB<br>1,581</td>
</tr>
<tr>
<td>Doyle, Danielle Ms.</td>
<td>LAB<br>2,072</td>
<td>Fergus, Edna M. Ms.</td>
<td>LAB<br>1,397</td>
</tr>
<tr>
<td>Miah, Giasuddin M.</td>
<td>LAB<br>1,966</td>
<td>Ramsay, Anthony K.<sup>*</sup></td>
<td>LAB<br>1,326</td>
</tr>
<tr>
<td>Saeed, Tariq*</td>
<td>UKIP<br>647</td>
<td>Kelly, Richard E.</td>
<td>UKIP<br>1,102</td>
</tr>
<tr>
<td>Ali, Modoris</td>
<td>CON<br>410</td>
<td>Gay, Jonathan R.</td>
<td>UKIP<br>960</td>
</tr>
<tr>
<td>Chowdhury, Erman H.</td>
<td>CON<br>323</td>
<td>Connelly, Susan M. Ms.</td>
<td>CON<br>544</td>
</tr>
<tr>
<td>Kitkovska, Natalija Ms.</td>
<td>GRE<br>307</td>
<td>Mckay, Anthony</td>
<td>BNP<br>222</td>
</tr>
<tr>
<td>Ampomah, Amaniampong A.</td>
<td>CON<br>292</td>
<td>Sturdy, Paul L. W.</td>
<td>BNP<br>166</td>
</tr>
<tr>
<td>Edwards, Ryan</td>
<td>LD<br>221</td>
<td></td><td></td>
</tr>
<tr>
<td>Marius-Alexandru, Ostafe</td>
<td>EP<br>94</td>
<td></td><td></td>
</tr>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Barking and Dagenham</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Alibon<br>No change</table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Rodwell, Darren J.<sup>*</sup></table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Hughes, Christopher W.</table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Alasia, Sanchia Ms.<sup>*</sup></table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Wood, Norman J. W.</table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Hussain, Jakir</table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Ullah, Md. N.</table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Zaman, Mohammed S.</table>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">London, Terence
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Becontree<br>No change
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Carpenter, Evelyn Ms.<sup>*</sup>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Choudhury, Faruk
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Ogungbose, James O.<sup>*</sup>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Douglas, Robert J.<sup>*</sup>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Douglas, Yvonne M. Ms.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Larner, Lorraine C. Ms.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Hosain, Mohammed B.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Smith, Ricci M.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">De Cruz, David L.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Chadwell Heath<br>No change
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Wade, Jeffrey*
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Bright, Afolade O. Ms.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Tarry, Samuel P.<sup>*</sup>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Curtis, Ronald J.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Spindler, Ingrid Ms.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Sacky, Albert
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Miah, Jamil
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Rosaman, Debbie A.
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Croft, David O. T.
<table border='0' cellpadding='0' cellspacing='0'>
<tbody id='results_table'>
<tr class='result_row'>
<td rowspan='2'>Abbey No change</td><td rowspan='2'>LAB 2,252</td><td rowspan='2'>No change Mccarthy, Michael A.* Fergus Edna M. Ms. Ramsay Anthony K.* LAB 1,581 LAB 1,397 LAB 1,325 UKIP 847 Kelly Richard E. Gay Jonathan R. CON 454 CON 544 UKIP 980 CON 544 BNP 222 BNP 178 LD 220 EP 94 Eastbury Turnout 34.8% No change Alexander Jeannette L. Ms.* LAB 1,700 LAB 1,400 LAB 1,400 UKIP 850 UKIP 850 CON 544 CON 544 LD 257 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 544 CON 548 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD 280 LD
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width: auto;
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padding-top:.7em;
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background-color:#f9f9f9;
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<script type='text/javascript'>
//<![CDATA[
function showResult(result) {
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var row = table.insertRow(-1);
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var results = [
{name:'Abbey No change', turnover Percentage':' turnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnovertur
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background-color:#f9f9f9;
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//<![CDATA[
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cell.innerHTML = result.name;
var cell = row.insertCell(1);
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{name:'Abbey No change', turnover Percentage':' turnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnoverturnovertur
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function showResult(result) {
```
<page_number>4</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td rowspan="3">Barking and Dagenham</td>
<td colspan="5" style="text-align:center;">Turnout 35.0%</td>
<td colspan="5" style="text-align:center;">Turnout 35.7%</td>
</tr>
<tr>
<td colspan="5" style="text-align:center;">No change</td>
<td colspan="5" style="text-align:center;">No change</td>
</tr>
<tr>
<td>Heath</td>
<td colspan="5" style="text-align:center;"></td>
<td>River</td>
<td colspan="5" style="text-align:center;"></td>
</tr>
<tr>
<td>Reason, Linda A. Ms. *</td>
<td>LAB</td>
<td>1,603</td>
<td colspan="5" style="text-align:center;"></td>
<td>Chand, Peter</td>
<td colspan="5" style="text-align:center;"></td>
</tr>
<tr>
<td>Miles, David S. *</td>
<td>LAB</td>
<td>1,504</td>
<td colspan="5" style="text-align:center;"></td>
<td>Keller, Eileen S. Ms. *</td>
<td colspan="5" style="text-align:center;"></td>
</tr>
<tr>
<td>Young, Daniel</td>
<td>LAB</td>
<td>1,380</td>
<td colspan="5" style="text-align:center;"></td>
<td>Jamu, Amardeep S. *</td>
<td colspan="5" style="text-align:center;"></td>
</tr>
<tr>
<td>Harnett, Connor R.</td>
<td>UKIP</td>
<td>1,021</td>
<td colspan="5" style="text-align:center;"></td>
<td>Harris, Lorraine M. Ms.</td>
<td colspan="5" style="text-align:center;"></td>
</tr>
<tr>
<td>Miah, Faruk</td>
<td>CON</td>
<td>338</td>
<td colspan="5" style="text-align:center;"></td>
<td>Majid, Husneara</td>
<td colspan="5" style="text-align:center;"></td>
</tr>
<tr>
<td>Koranteng, Janet L. Ms.</td>
<td>LD</td>
<td>210</td>
<td colspan="5" style="text-align:center;"></td>
<td></td><td colspan="5" style="text-align:center;"></td>
</tr>
<tr><td rowspan="3">Longbridge</td><td colspan="5" style="text-align:center;">Turnout 43.7%</td><td colspan="5" style="text-align:center;">Thames</td><td colspan="5" style="text-align:center;">Turnout 37.4%</td></tr>
<tr><td>No change</td><td colspan="5" style="text-align:center;"></td><td colspan="5" style="text-align:center;">No change</td><td colspan="5" style="text-align:center;"></td></tr>
<tr><td>Gill, Rocky*</td><td>LAB</td><td>2,288</td><td colspan="5" style="text-align:center;"></td><td>Channer, Josephine Ms. *</td><td colspan="5" style="text-align:center;"></td></tr>
<tr><td>Ahammad, Syed*</td><td>LAB</td><td>1,998</td><td colspan="5" style="text-align:center;"></td><td>Geddes, Cameron*</td><td colspan="5" style="text-align:center;"></td></tr>
<tr><td>Rice, Lynda Ms. *</td><td>LAB</td><td>1,752</td><td colspan="5" style="text-align:center;"></td><td>Turner, Bill</td><td colspan="5" style="text-align:center;"></td></tr>
<tr><td>Rahman, Shahhidur</td><td>CON</td><td>856</td><td colspan="5" style="text-align:center;"></td><td>Dumbleton, Pamela E. Ms.</td><td colspan="5" style="text-align:center;"></td></tr>
<tr><td>Tahir, Rumaana Y.</td><td>UKIP</td><td>623</td><td colspan="5" style="text-align:center;"></ td><th>Begum, Reba </th></tr>
<tr><th>Lewis, Glynn </th></tr>
<tr><th>Semitego, Richard </th></tr>
<tr><th>Tooley, Lorna J. Ms.</th></tr>
<tr><th>Uddin, Mohammad J.</th></tr>
<tr><th>Vincent, Gerald M.</th></tr>
<tr><th>Baig, Shaheryaar </th></tr>
<tr><th>Mayesbrook </th></tr>
<tr><th>No change </th></tr>
<tr><th>Smith, Danielle J. Ms.</th></tr>
<tr><th>Haroon, Kashif </th></tr>
<tr><th>Oluwole, Adegboyega O.</th></tr>
<tr><th>Hunt, Dorothy M. *</th></tr>
<tr><th>Rablen, Antony F.</th></tr>
<tr><th>De Santis, Giuseppe </th></tr>
<tr><th>Begum, Sufia </th></tr>
<tr><th>Rahman, Md. F.</th></tr>
<tr><th>Shahjahan, Ahmed </th></tr>
<tr><th>Parsloes </th></tr>
<tr><th>No change </th></tr>
<tr><th>Rice, Christopher D. *</th></tr>
<tr><th>Kangethe, Elizabeth W. Ms. *</th></tr>
<tr><th>Zanitchkhhah, Linda Ms.</th></tr>
<tr><th>Hall, Richard P.</th></tr>
<tr><th>Miah, Goyas </th></tr>
<tr><th>Ali, Zahanara </th></tr>
<tr><th>Chowdhury, Numaun I.</th></tr>
<table border='1'>
<thead>
<tr id='table_header_row'>
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</tbody></tfoot></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/></tfoot/></tbody/></table/>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>5</page_number>
By-elections
<table>
<thead>
<tr>
<td></td>
<td>Turnout 25.6%</td>
<td>Longbridge</td>
<td>Turnout 29.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Goresbrook<br>19 April 2012</td>
<td>No change</td>
<td>09 May 2013</td>
<td>No change</td>
</tr>
<tr>
<td>Bremner, Simon<br>Taylor, Bob<br>Dias-Broughton, John W.<br>Riaz, Mohammed<br>Hills, Robert G.</td>
<td>LAB<br>BNP<br>UKIP<br>CON<br>LD</td>
<td>1,113<br>593<br>91<br>81<br>48</td>
<td>Ahmadad, Syed<br>Bedwell, Albert E.<br>Ayer, Paul<br>Croft, David O. T.<br>De Santis, Giuseppe</td>
<td>LAB<br>UKIP<br>CON<br>LD<br>BNP</td>
<td>1,555<br>466<br>284<br>78<br>37</td>
</tr>
<tr>
<td colspan="2">Resignation of Couling, Louise Ms. (LAB)</td>
<td colspan="2">Death of Gill, Nirmal (LAB)</td>
<td colspan="2"></td>
</tr>
</tbody>
</table>
Barking and Dagenham
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Barnet**
Conservative administration
<img>Barnet electoral wards map</img>
<page_number>6</page_number>
<table>
<thead>
<tr>
<td></td>
<td>1 Brunswick Park</td>
<td>2 Burnt Oak</td>
<td>3 Childs Hill</td>
<td>4 Colindale</td>
<td>5 Coppetts</td>
<td>6 East Barnet</td>
<td>7 East Finchley</td>
<td>8 Edgware</td>
<td>9 Finchley Church End</td>
<td>10 Garden Suburb</td>
<td>11 Golders Green</td>
<td>Hale</td>
<td>Havendon</td>
<td>High Barnet</td>
<td>Mill Hill</td>
<td>Oakleigh</td>
<td>Totteridge</td>
<td>Underhill</td>
<td>West Finchley</td>
<td>West Hendon</td>
<td>Woodhouse</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>12 Hale</td>
<td>13 Havendon</td>
<td>14 High Barnet</td>
<td>15 Mill Hill</td>
<td>16 Oakleigh</td>
<td>17 Totteridge</td>
<td>18 Underhill</td>
<td>19 West Finchley</td>
<td>20 West Hendon</td>
<td>21 Woodhouse</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><img>Barnet ward boundaries with party colours.</img><br/>
Conservative<br/>
Labour<br/>
Conservative/Liberal Democrat<br/>
Conservative/Labour
</tr>
</thead>
<tbody>
<tr>
<th colspan="2">State of the parties, 1964-2014</th>
<th colspan="2">% share of the poll, 1964-2014</th>
<th colspan="2">CON LAB LD other total</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% poll CON LAB LD other</th>
<th colspan="2">% share of the poll, 1964-2014 (as %)</th><br/>
<page_number>40.5 38.6 36.7 7.2 17.5 6.5 4.5 3.5 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0)</page_number><br/>
<page_number>65,10<br/>45,96<br/>45,96<br/>75,98<br/>55,94<br/>55,94<br/>85,86<br/>65,82<br/>45,78<br/>45,78<br/>45,78<br/>115,71<br/>95,68<br/>75,64<br/></page_number><br/>
<page_number>65,10<br/>45,96<br/>45,96<br/>75,98<br/>55,94<br/>55,94<br/>85,86<br/>65,82<br/>45,78<br/>45,78<br/>45,78<br/>115,71<br/>95,68<br/>75,64<br/></page_number><br/>
<page_number>65,10<br/>45,96<br/>45,96<br/>75,98<br/>55,94<br/>55,94<br/>85,86<br/>65,82<br/>45,78<br/>45,78<br/>45,78<br/>115,71<br/>95,68<br/>75,64<br/></page_number><br/>
<page_number>65,10<br/>45,96<br/>45,96<br/>75,98<br/>55,94<br/>55,94<br/>85,86<br/>65,82<br/>45,78<br/>45,78<br/>45,78<br/>115,71<br/>95,68<br/>75,64<br/></page_number><br/>
<page_number>65,10<br/>45,96<br/>45,96<br/>75,98<br/>55,94<br/>55,94<br/>85,86<br/>65,82<br/>45,78<br/>45,78<br/>45,78<br/>115,71<br/>95,68<br/>75,64<br/></page_number><br/>
<page_number>65,10<br/>45,96<br/>45,96<br/>75,98<br/>55,94<br/>55,94<br/>85,86<br/>65,82<br/>45,78<br/>45,78<br/>45,78<br/>115,71<br/>95,68<br/>75,64,<br/></page_number><br/>
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General statistics
<table border='1'>
<tr><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</td><td>Barnet London </td></tr><tr><td>Electorate:</td><td>Electorate:</ td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb tb 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aiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuaiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiuiu uiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiuoioiououououououououououou
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>7</page_number>
**% share of the poll**
<table>
<thead>
<tr>
<td></td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td>Barnet</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Brunswick Park</strong></td>
<td>22.5.14<br>6.5.10</td>
<td>40.3<br>65.0</td>
<td>41.2<br>48.8</td>
<td>42.7<br>27.3</td>
<td>4.9<br>17.2</td>
<td>11.2<br>6.7</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
</tr>
<tr>
<td><strong>Burnt Oak</strong></td>
<td>22.5.14<br>6.5.10</td>
<td>35.7<br>54.6</td>
<td>19.3<br>22.7</td>
<td>56.5<br>62.5</td>
<td>5.5<br>14.8</td>
<td>10.8<br>--</td>
<td>--<br>--</td>
<td><strong>7.9</strong><br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
</tr>
<tr>
<td><strong>Childs Hill</strong></td>
<td>22.5.14<br>6.5.10</td>
<td>41.5<br>55.3</td>
<td>32.1<br>34.3</td>
<td>29.8<br>21.2</td>
<td>27.5<br>38.4</td>
<td><strong>10.5</strong><br><strong>6.0</strong></td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
</tr>
<tr>
<td><strong>Colindale</strong></td>
<td>26.6.14<br>6.5.10</td>
<td><strong>27.8</strong><br><strong>51.4</strong></td>
<td><strong>15.0</strong><br><strong>21.3</strong></td>
<td><strong>67.9</strong><br><strong>55.6</strong></td>
<td><strong>3.3</strong><br><strong>17.4</strong></td>
<td><strong>3.8</strong><br><strong>5.8</strong></td>
<td><strong>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-,<strong></strong></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em></em/></table>
<table>
<tr>
<td rowspan="2"><strong>Coppetts </strong><table>
<tr>
<td rowspan="2">22.5.14<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:purple;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><u style="color:blue;">6.</u>.5.<u style="color:red;">10 </u><u style="color:green;">60.</u>.00<br><b>Coppetts </b>
<tr>
<td rowspan="2">49.2<br>38.2<br>37.1<br>29.8<br>21.2<br>343<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>384<br>bottles
<tr>
<td rowspan="2">-- </tr>
<tr>
<td rowspan="2">-- <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b> <b>+</b>&nb...
<tr>
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<page_number>8</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Results**
<table>
<thead>
<tr>
<td>Barnet</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="6">Brunswick Park<br>2 LAB gains from CON</td>
</tr>
<tr>
<td>Levine, Kathy Ms.</td>
<td>LAB</td>
<td>1,951</td>
<td>No change</td>
<td>Narendira, Nagus</td>
<td>LAB</td>
<td>2,190</td>
</tr>
<tr>
<td>Ioannidis, Andreas*</td>
<td>LAB</td>
<td>1,944</td>
<td>Sargeant, Gill Ms.*</td>
<td>Zubairi, Zakia*</td>
<td>LAB</td>
<td>2,088</td>
</tr>
<tr>
<td>Rutter, Lisa Ms.*</td>
<td>CON</td>
<td>1,899</td>
<td>Akwezez, Nneka</td>
<td></td>
<td>CON</td>
<td>2,015</td>
</tr>
<tr>
<td>Tambourides, Andreas*</td>
<td>CON</td>
<td>1,876</td>
<td>Nicholson, William J.</td>
<td></td>
<td>CON</td>
<td>501</td>
</tr>
<tr>
<td>Rowe, James</td>
<td>LAB</td>
<td>1,820</td>
<td></td>
<td></td>
<td>CON</td>
<td>466</td>
</tr>
<tr>
<td>Savvides, Antonis</td>
<td>CON</td>
<td>1,742</td>
<td>Bokaei, Golnar</td>
<td></td>
<td>CON</td>
<td>420</td>
</tr>
<tr>
<td>Javes, Howard T. C.</td>
<td>GRE</td>
<td>499</td>
<td>Baskin, John J.</td>
<td></td>
<td>UKIP</td>
<td>347</td>
</tr>
<tr>
<td>Beeton, Sandra J. Ms.</td>
<td>LD</td>
<td>270</td>
<td>Ryan, Barry</td>
<td></td>
<td>UKIP</td>
<td>309</td>
</tr>
<tr>
<td>Ritson, Jennifer W. Ms.</td>
<td>LD</td>
<td>218</td>
<td>Khan, Khalid</td>
<td></td>
<td>UKIP</td>
< td="">268
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
</ td
\
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>9</page_number>
<table>
<thead>
<tr>
<td>East Barnet<br>3 LAB gain from CON</td>
<td>Turnout 41.9%</td>
<td>Finchley Church End<br>No change</td>
<td>Turnout 40.7%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Chalice, Rebecca Ms.</td>
<td>LAB<br>2,108</td>
<td>Greenspan, Eva Ms. *</td>
<td>CON<br>2,571</td>
</tr>
<tr>
<td>Williams, Laurie</td>
<td>LAB<br>2,044</td>
<td>Old, Graham D. *</td>
<td>CON<br>2,284</td>
</tr>
<tr>
<td>Cohen, Philip</td>
<td>LAB<br>1,993</td>
<td>Thomas, Daniel C. *</td>
<td>CON<br>2,197</td>
</tr>
<tr>
<td>Evangel, Barry*</td>
<td>CON<br>1,894</td>
<td>Bagley, Janet C. Ms.</td>
<td>LAB<br>1,257</td>
</tr>
<tr>
<td>Tambourides, Joanna Ms. *</td>
<td>CON<br>1,873</td>
<td>Walsh, Mike</td>
<td>LAB<br>1,201</td>
</tr>
<tr>
<td>Rams, Robert*</td>
<td>CON<br>1,820</td>
<td>Mcguirk, Mary P. Ms.</td>
<td>LAB<br>1,192</td>
</tr>
<tr>
<td>Aitken, Roger L.</td>
<td>GRE<br>638</td>
<td>Kumar, Vedantha</td>
<td>GRE<br>512</td>
</tr>
<tr>
<td>Varvarides, Pennie Ms.</td>
<td>GRE<br>576</td>
<td>Latif, Amir</td>
<td>UKIP<br>365</td>
</tr>
<tr>
<td>Pressland, Kevin R.</td>
<td>GRE<br>505</td>
<td>Darrer, Diana D. Ms.</td>
<td>LD<br>305</td>
</tr>
<tr>
<td>Roberts, Deborah E. Ms.</td>
<td>LD<br>194</td>
<td>Hoyle, Sarah J. Ms.</td>
<td>LD<br>267</td>
</tr>
<tr>
<td>Umbo, Eileen M. Ms.</td>
<td>LD<br>175</td>
<td>Yarwood, Sheila R. Ms.</td>
<td>LD<br>222</td>
</tr>
<table border="1">
<thead><tr><th colspan="3">Garden Suburb Turnout 42.3%</th></tr></thead><tbody><tr><th rowspan="3">No change Moore, Alison Ms.* Mittra, Arjun K.* Or-Bach, Alon Stepanenko, Stepan Gupta, Anshul Maund, Alan R. Lynch, Noel T. Norman, Stephen P. H. Mellows, David H. Arram, Joyce M. Ms. Davis, Malcolm M. Watkins, Millicent J. Ms.</th><th rowspan="3">LAB<br>2,711<br>2,565<br>2,201<br>1,013<br>988<br>988<br>640<br>606<br>602<br>410<br>310<br>248</th><th rowspan="3">Marshall, John L.* Rozenberg, Gabriel S.<br>Seal, Daniel* Goldberg, Nick Brown, Ruth Ms. Sutherlandand, Romin De Souza, Romola Lusher, Peter A. Akbikyik, Altan R. Barber, Stephen D.</th><th rowspan="3">CON<br>2,689<br>2,560<br>2,539<br>LAB<br>LAB<br>LAB<br>LAB<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD</th></tr><tr><td>No change Marshall John L.* Rozenberg Gabriel S.<br>Sel Daniel* Goldberg Nick Brown Ruth Ms.<br>Sutherlandand Romin De Souza Romola Lusher Peter A.<br>Akbikyik Altan R.<br>Baer Stephen D.</td></tr><tr><td>No change Marshall John L.* Rozenberg Gabriel S.<br>Sel Daniel* Goldberg Nick Brown Ruth Ms.<br>Sutherlandand Romin De Souza Romola Lusher Peter A.<br>Akbikyik Altan R.<br>Baer Stephen D.</td></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="3">Golds Green Turnout 38.8%</th></tr></thead><tbody><tr><th rowspan="3">No change Edgware No change Gordon, Brian C. Hart, Helena D. Ms.* Scannell, Joan Ms.* Johnson Julie Ms. Johnson Geofrey Hale Raymond Margolis Catherine A. Ms. Abeles Aliza M. Abeles Elias P. Ollier Alexander T. M.</th><th rowspan="3">CON<br>2,732<br>2,369 CON 2,182 LAB 1,180 LAB 1,155 LAB 1,140 GRE 474 LD 446 LD 410 LD 169</th><th rowspan="3">Cohen Dean S. B.* Cohen Melvin* Thompsonstone Reuben F.* Harvey Charles Robinson Margot Ms. O'Halloran Sue Ms. Concepcion Charlene Ms. Ward Adele Ms. Radice Louisa C. Ms. Cohen Ruth Ms. Morrissey Honora Ms. Eatwell Eddie</th><th rowspan="3">CON CON CON LAB LAB LAB GRE GRE GRE LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelabLabelablabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelablelabelable label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label la<label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_label_
<page_number>10</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Barnet</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="7">Hale<br>1 LAB gain from CON</td>
</tr>
<tr>
<td>Davey, Tom*</td>
<td>CON</td>
<td>Turnout 43.4%</td>
<td>Mill Hill<br>No change</td>
<td>Turnout 40.3%</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Rayner, Hugh R. *</td>
<td>CON</td>
<td>2,178<br>2,155</td>
<td>Hart, John R. *</td>
<td>CON<br>2,058</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Lyonks, Kitty Ms.</td>
<td>LAB</td>
<td>2,019</td>
<td>Duschinsky, Val Ms.<br>Khatri, Sury*</td>
<td>CON<br>1,936<br>1,864</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Simberg, Elliott K.</td>
<td>CON</td>
<td>2,010</td>
<td>Handley, Deborah J. Ms.</td>
<td>LAB<br>1,264</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Jeanmaire, Pierre</td>
<td>LAB</td>
<td>1,994</td>
<td>John, Sian B. Ms.</td>
<td>LAB<br>1,231</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Lyons, Roger</td>
<td>LAB</td>
<td>1,870</td>
<td>Francome, Colin*</td>
<td>LAB<br>1,229</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Ceasar, Nicolas J. A.</td>
<td>GRE</td>
<td>536</td>
<td>Jones, George A.</td>
<td>UKIP<br>731</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Goodman, Michael R.</td>
<td>LD</td>
<td>335</td>
<td>Davies, Jeremy E.</td>
<td>LD<br>721</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Creighton, James M.</td>
<td>LD</td>
<td>297</td>
<td>Hill, Alasdair</td>
<td>LD<br>512</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Jacobs, Geoffrey A.</td>
<td>LD</td>
<td>243</td>
<td>Rustin, Barbara Ms.</td>
<td>GRE<br>495</td>
<td></td>
<td></td>
</tr><tr><th colspan="2">Hendon<br>No change</th><th style="text-align: right;">Turnout 37.0%</th><th colspan="3"></th></tr><tr><th colspan="2">Finn, Anthony H. *</th><th style="text-align: right;">CON<br>2,128</th><th style="text-align: right;">Lees, Michael J.</th><th style="text-align: right;">LD<br>470</th><th colspan="2"></th></tr><tr><th colspan="2">Shooter, Mark R.*<br>Braun, Maureen Ms. *</th><th style="text-align: right;">CON<br>2,087<br>2,015</th><th style="text-align: right;">Williams, David G.<br>Oakleigh*</th><th style="text-align: right;">GRE<br>282<br>Turnout 40.7%</th><th colspan="2"></th></tr><tr><th colspan="2">Beere, David<br>Roots, Gerrard E.<br>Montague, Ruth Ms.</th><th style="text-align: right;">LAB<br>1,191<br>1,165<br>1,113</th><th>No change<br>Salinger, Brian *<br>Rajput, Sachin*</th><th style="text-align: right;">CON<br>1,935<br>CON<br style="color:red;">CON 1,899 (INCUMBENT)</th><th colspan="2"></th></tr><tr><th colspan="2">Ryani, Barry<br>Monaghan, Andy<br>Moleman, Jason M.<br>Feszczur, Henryk P.</th><th style="text-align: right;">UKIP<br style="color:red;">420 (INCUMBENT)</th><th>Sowerby, Stephen*</th><th style="text-align: right;">CON<br style="color:red;">1,826 (INCUMBENT)</th><th colspan="2"></th></tr><tr><th colspan="2">Wakefield, Charles P.</th><th style="text-align: right;">LD<br style="color:red;">180 (INCUMBENT)</th><th>Bradbury, Pamela Ms.<br>Barker, Rachel Ms.<br style="color:red;">Sharma, Parmodh<br style="color:red;">Kaye, Victor (INCUMBENT)</th><th style="text-align: right;">LAB<br style="color:red;">LAB 1,100 (INCUMBENT)<br style="color:red;">LAB 936 (INCUMBENT)<br style="color:red;">UKIP 498 (INCUMBENT)</th><th colspan="2"></th></tr><tr><th colspan="2">High Barnet<br>No change</th><th style="text-align: right;">Turnout 47.6%</th><th>Cutting, Richard G.<br>Newby, Daniel A.<br style="color:red;">Shapiro Gideon (INCUMBENT)</th><th style="text-align: right;">GRE<br style="color:red;">GRE 370 (INCUMBENT)</th><th colspan="2"></th></tr><tr><th colspan="2">Prentice, Wendy Ms. *</th><th style="text-align: right;">CON<br style="color:red;">2,171 (INCUMBENT)</th><th>Fitzgerald, Gerard E.<br style="color:red;">Finlayson Jon (INCUMBENT)</th><th style="text-align: right;">GRE<br style="color:red;">LD 239 (INCUMBENT)</th><th colspan="2"></th></tr><tr><th colspan="2">Longstaff, David *</th><th style="text-align: right;">CON<br style="color:red;">2,161 (INCUMBENT)</th><th>Hodge, Leonie G. Ms.<br style="color:red;">Philip Clayton (INCUMBENT)</th><th style="text-align: right;">LD<br style="color:red;">LD 188 (INCUMBENT)</th><table border='0' cellspacing='0' cellpadding='0'>
<tr class='header_bottom_margin'>
<th align='right'>Perry, Bridget Ms. *</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Harding,</table>
<th align='right'>Greer Hardling,
<watermark>GRE 370 (INCUMBENT)</watermark>GRE 370 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498 (INCUMBENT)</watermark>Perry 498 (INCUMBENT)
<watermark>Perry 498
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>11</page_number>
<table>
<thead>
<tr>
<td>Totteridge<br>No change</td>
<td>Turnout 40.8%</td>
<td>West Finchley<br>No change</td>
<td>Turnout 44.7%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Cornelius, Alison Ms.<sup>*</sup></td>
<td>CON<br>2,210</td>
<td>Houston, Ross S.<sup>*</sup><br>Tierney, Jim<sup>*</sup></td>
<td>LAB<br>2,214</td>
</tr>
<tr>
<td>Cornelius, Richard<sup>*</sup></td>
<td>CON<br>2,147</td>
<td>Mcguirk, Kath Ms.<sup>*</sup></td>
<td>LAB<br>2,113</td>
</tr>
<tr>
<td>Stock, Caroline Ms.</td>
<td>CON<br>2,090</td>
<td>Dias, Shaun</td>
<td>CON<br>1,367</td>
</tr>
<tr>
<td>Heneghan, Deborah Ms.</td>
<td>LAB<br>1,048</td>
<td>Longfield, Myles</td>
<td>CON<br>1,292</td>
</tr>
<tr>
<td>Lyven, Donald</td>
<td>LAB<br>912</td>
<td>Tennakoon, Ajantha T. K.</td>
<td>CON<br>1,067</td>
</tr>
<tr>
<td>Persad, Robert</td>
<td>LAB<br>798</td>
<td>Owen, Nina B. Ms.</td>
<td>GRE<br>550</td>
</tr>
<tr>
<td>Auld, Ash</td>
<td>GRE<br>464</td>
<td>Riley, Tim</td>
<td>GRE<br>440</td>
</tr>
<tr>
<td>Fraser, Keith G.</td>
<td>UKIP<br>494</td>
<td>Anderson, Ted</td>
<td>UKIP<br>407</td>
</tr>
<tr>
<td>Parkinson, Richard H.</td>
<td>GRE<br>363</td>
<td>Landeryou, Rita I. Ms.</td>
<td>LD<br>262</td>
</tr>
<tr>
<td>Turner, Janice Ms.</td>
<td>LD<br>320</td>
<td>Chalmers, John A.</td>
<td>LD<br>238</td>
</tr>
<tr>
<td>Coleman, Brian J.<sup>*</sup></td>
<td>IND<br>265</td>
<td>Finlay, Ronald A.</td>
<td>LD<br>206</td>
</tr>
<tr>
<td>Cole, Michael M.</td>
<td>LD<br>256</td>
<td></td><td></td>
</tr>
<tr>
<td>Gottsche, Sheila Ms.</td>
<td>LD<br>212</td>
<td></td><td></td>
</tr>
<tr>
<td>Linskey, George S.</td>
<td>IND<br>137</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><strong>Totteridge No change Turnout 40.8% West Finchley No change Turnout 44.7%</strong><br><strong>Barnet Turnout 38.0%</strong><br><strong>No change Turnout 42.8%</strong><br><strong>Langleben, Adam LAB 1,794 Kay, Devra Ms. LAB 1,769 Siocombe, Agnes C. Ms.<sup>*</sup> LAB 1,747 Trevelyan, Amy Ms.<sup>*</sup></strong><br><strong>Trevethan Tim LAB 1,950 Hettiarachchi, Saira CON 1,488 Roberts Tim LAB 1,889 Mann, Brian<sup>*</sup></strong><br><strong>Barton James CON 1,637 Sodaña Ansuya<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Barton James CON 1,637 Greer Brian<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br><strong>Schneideman Alan<sup>*</sup></strong><br>Langleben Adam LAB 1,794 Kay Devra Ms. LAB 1,769 Siocombe Agnes C. Ms.<sub>* </sub>LAB 1,747 Trevelyan Amy Ms.<sub>* </sub>LAB 1,950 Hettiarachchi Saira CON 1,488 Roberts Tim LAB 1,889 Mann Brian<sub>* </sub>CN 1,459 Barton James CON 1,637 Sodaña Ansuya<sub>* </sub>CN 1,357 Quigley-Turner Rowan CON 1,429 Murray-Leonard Adrian P. UKIP 445 Subramanyam Michael CON 1,264 Samuel Ben GRE 307 Baskin John J. UKIP 1,016 Bunting Sara H. Ms. GRE 300 Laughton Dawn GRE 550 Green Miriam R. Ms. GRE 292 Theodorou Gina Ms. GRE 525 Emery Pearl E. LD 172 Natelson Solomon O. GRE 344 Emery James H. LD 163 Gilbert Alexander L. LD 232 Ive David LD 163 Manalo Maria C. Ms. LD 170 Woodhouse Turnout 41.9% No change Hutton Anne C. Ms.<sub>* </sub>LAB 2,348 Cooke Geof LAB 2,287 Schneiderman Alan<sub>* </sub>LAB 2,067 Higgins Mark E. CON 1,442 Depala Mukesh H. CON 1,350 Alam Nurul CON 1,318 Burstein Diane Ms. GRE 604 Khan Karl UKIP 551 Burns David H. GRE 543 Vaswani Gardi GRE 471 Murphy Ian V. LD 218 Mckinnell Pauline A. Ms. LD 211 Smith Lisa M. Ms. LD 193
<img>A table showing election results for London Borough Council elections in May 2014.</img>
<table border="1">
<thead border="1">
<tr border="1">
<th rowspan="2">Underhill<br>No change Turnout 42.8%</th>
<th rowspan="2">LAB gains from CON No change Turnout 40.8%</th>
<th rowspan="2">Langleben Adam LAB Kay Devra Ms. LAB Siocombe Agnes C. Ms.<sub>* </sub>LAB Trevelyan Amy Ms.<sub>* </sub>LAB Roberts Tim LAB Quigley-Turner Rowan CON Subramanyam Michael CON Baskin John J. UKIP Laughton Dawn GRE Theodorou Gina Ms. GRE Natelson Solomon O. GRE Gilbert Alexander L. LD Manalo Maria C. Ms. LD Stern Jonty LD Woodhouse No change Hutton Anne C. Ms.<sub>* </sub>LAB Cooke Geof LAB Schneiderman Alan<sub>* </sub>LAB Higgins Mark E. CON Depala Mukesh H. CON Alam Nurul CON Burstein Diane Ms. GRE Khan Karl UKIP Burns David H. GRE Vaswani Gardi GRE Murphy Ian V. LD Mckinnell Pauline A. Ms. LD Smith Lisa M. Ms. LD Turnout 41.9%</th>
<th rowspan="2">LAB LAB CON CON CON UKIP GRE GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP Greer Brian<sub>* </sub>CN Sodaña Ansuya<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </sub>CN Greer Brian<sub>* </subtitle/></th>
<th rowspan="2">LAB LAB CON CON CON UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP Greer Brian <span style="color:red;">*</span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GRE GRE GRE UKIP GRE GRE GRE UKIP Greer Brian <span style="color:red;">*</span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GRE GRE GRE UKIP Greer Brian <span style="color:red;">*</span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GRE GREEN GREEN GREEN UKIP GREEN GREEN GREEN UKIP GREEN GREEN GREEN UKIP GREEN GREEN GREEN UKIP GREEN GREEN GREEN UKIP GREEN GREEN GREEN UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREEN GREEN UKIP Green <span style="color:red;">Brian <span style="color:red;">*</span> </span> </th>
<th rowspan="2">LAB LAB CON CON CON UKIP GREEN GREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGREENGREENGREENUKIPTGreen <span style=color:green="">Brian < span color:green="">*</span>> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>><< /green>>
<th rowspan="2">LAB LAB CON CON CON UKIP Green < span color:green="">Brian < span color:green="">*</span>&nbs
<page_number>12</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Barnet
By-elections
East Finchley
12 April 2012
No change
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Mitra, Arjun</td>
<td>LAB</td>
<td>2,117</td>
<td>Ioannidis, Andreas</td>
<td>LAB</td>
<td>1,769</td>
</tr>
<tr>
<td>Gupta, Anshul</td>
<td>CON</td>
<td>543</td>
<td>Mahmood, Shaheen K.</td>
<td>CON</td>
<td>1,598</td>
</tr>
<tr>
<td>Gibson, Jane Ms.</td>
<td>LD</td>
<td>461</td>
<td>Kingi, Yahaya D.</td>
<td>LD</td>
<td>97</td>
</tr>
<tr>
<td colspan="6">Resignation of McNeill, Andrew R. (LAB)</td>
</tr>
<tr>
<td colspan="6">Death of Hillan, Lynne Ms. (CON)</td>
</tr>
</tbody>
</table>
Brunswick Park
31 May 2012
LAB gain from CON
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>13</page_number>
**Bexley**
Conservative administration
<img>A map of Bexley showing the results of the 2014 local elections. The map is divided into 18 electoral wards, each represented by a different colour. The colours are as follows:
- Conservative: Light blue
- Labour: Red
- UKIP: Black
The ward names are as follows:
1. Barnehurst
2. Belvedere
3. Blackfen and Lamorbevy
4. Blendon and Penhill
5. Brampton
6. Christchurch
7. Colyers
8. Crayford
9. Cray Meadows
10. Danson Park
11. East Wickham
12. Erith
13. Falconwood and Welling
14. Lesnes Abbey
15. Longlands
16. North End
17. Northumberland Heath
18. Sidcup
19. St. Mary's
20. St. Michael's
21. Thamesmead East
The results for each ward are as follows:
- Barnehurst: Conservative (45)
- Belvedere: Labour (52)
- Blackfen and Lamorbevy: Labour (54)
- Blendon and Penhill: Labour (30)
- Brampton: Labour (32)
- Christchurch: Labour (33)
- Colyers: Labour (32)
- Crayford: Labour (34)
- Cray Meadows: Labour (35)
- Danson Park: Labour (41)
- East Wickham: Conservative (63)
- Erith: Conservative (63)
- Falconwood and Welling: Conservative (63)
- Lesnes Abbey: Labour (63)
- Longlands: Labour (63)
- North End: Labour (63)
- Northumberland Heath: Labour (63)
- Sidcup: Labour (62)
- St. Mary's: Labour (62)
- St. Michael's: Labour (62)
- Thamesmead East: Labour (62)
The overall results are as follows:
- Conservative: 22,514 votes (39.6% of the poll)
- Labour: 63 votes (100% of the poll)
- UKIP: 0 votes (0% of the poll)
The state of the parties, 1964-2014:
| CON | LAB | LD | other | total | % share of the poll |
|---|---|---|---|---|---|
| 22,514 | 45 | 15 | - | 3 | 63 | 22,514 | 39.6 | 37.6 | 25.3 | 2.7 | 34.4 |
General statistics
| Bexley | London |
|---|---|
| Electorate | May 2014 | May 2010 |
| May 2014 | 179,050 | 5,878,834 |
| May 2010 | 173,715 | 5,689,223 |
| Resident population aged 18 and over | Mid 2014 | Mid 2010 |
| Mid 2014 | 180,000 | 6,597,100 |
| Mid 2010 | 177,400 | 6,318,000 |
| Estimated % unemployed | 2013/14 | 2009/10 |
| 7.7 | 8.2 |
| Band 'D' council tax | May 2014 | May 2010 |
| £1,432 | £1,438 |
| £1,302 | £1,309 |
Estimated % unemployed
| Year | % Unemployed |
|---|---|
| 2013/14 | 7.7 |
| 2009/10 | 8.2 |
Band 'D' council tax
| Year | Council Tax |
|---|---|
| May 2014 | £1,432 |
| May 2010 | £1,438 |
£1,302
<page_number>14</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Bexley
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Barnehurst</td>
<td>22.5,14</td>
<td>42.3</td>
<td>43.6</td>
<td>19.8</td>
<td>--</td>
<td>--</td>
<td>2.7</td>
<td>33.8</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5,10</td>
<td>69.9</td>
<td>42.8</td>
<td>16.7</td>
<td>12.8</td>
<td>--</td>
<td>10.1</td>
<td>10.5</td>
<td>--</td>
<td>7.1</td>
</tr>
<tr>
<td>Belvedere</td>
<td>22.5,14</td>
<td>38.8</td>
<td>22.3</td>
<td>37.8</td>
<td>--</td>
<td>--</td>
<td><u>8.4</u></td>
<td><b>29.0</b></td>
<td>--</td>
<td><u>2.5</u></td>
</tr>
<tr>
<td></td>
<td>6.5,10</td>
<td>62.3</td>
<td>37.3</td>
<td>39.4</td>
<td>--</td>
<td>--</td>
<td><u>12.6</u></td>
<td>--</td>
<td>--</td>
<td><u>10.6</u></td>
</tr>
<tr>
<td>Blackfen and Lamorbey</td>
<td>22.5,14</td>
<td>41.6</td>
<td>30.2</td>
<td><u>11.9 </u></td>
<td><u>3.7 </u></td>
<td>--</td>
<td><u>7.0 </u></td>
<td><b>30.0 </b></td>
<td><b>17.2 </b></td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5,10</td>
<td>70.0</td>
<td>47.7</td>
<td>16.5</td>
<td>14.1</td>
<td>--</td>
<td><u>11.5 </u></td>
<td>--</td>
<td>--</td>
<td><u>10.2 </u></td>
</tr>
<tr>
<td>Bledon and Penhill</td>
<td>22.5,14</td>
<td><u>41.2 </u></td>
<td><u>43.0 </u></td>
<td><u>15.7 </u></td>
<td>--</td>
<td>--</td><th colspan="3"><u>- 9.6 </u></th><th colspan="2"><u>- 31.7 </u></th></tr><tr><th rowspan="2">Brampton<br>Crayford<br>Cray Meadows<br>Danson Park<br>East Wickham<br>Erithe<br>Falconwood and Welling<br>Lesnes Abbey<br>Longlands<br>North End<br>Northumberland Heath<br>St. Mary's<br>St. Michael's<br>Sidcup<br>The Thamesmead East<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexley<br>Bexly
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| Date | %poll | CON | LAB | LD | GRE | BNP | UKIP | IND | REA Others |
|---|---|---|---|---|---|---|---|---|---|
| 22.5,14 | 40.3 | 29.7 | 25.3 | -- | -- | -- | 10.4 | 30.1 | -- | -- |
| 6.5,10 | 61.6 | 37.7 | 29.0 | 12.9 | -- | -- | 12.7 | -- | -- | 7.7 |
| 22.5,14 | 37.6 | 47.0 | 36.4 | -- | -- | -- | 16.6 | -- | -- | -- |
| 6.5,10 | 64.3 | 36.6 | 25.2 | 17.2 | -- | -- | 11.7 | -- | -- | 9.3 |
| 22.5,14 | 36.3 | 37.9 | 19.1 | 45 | -- | -- | 7.2 | 28.3 | -- | -- |
| 6.5,10 | 64.1 | 45.3 | 17.8 | 17.2 | -- | -- | 10.9 | -- | -- | 8.8 |
| 22.5,14 | 39.2 | 39.7 | 18.7 | 56 | -- | -- | 7.7 | 28.4 | -- | -- |
| 6.5,10 | 67.6 | 47.0 | 17.1 | 15.3 | -- | -- | 10.1 | 10.6 | -- | -- |
| 22.5,14 | 40.0 | 35.0 | 22.7 &nbsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp;nsp>n </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> ace;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbsp;<br>nbp>
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lt;/div>
<div class="table" style="width: auto;">
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="9">% share of the poll (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Polling Day)</th><th colspan="3">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Polling Day (Pollling)
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>15</page_number>
**Results**
<table>
<thead>
<tr>
<td rowspan="2">Barnehurst</td>
<td colspan="2">Turnout 42.3%</td>
<td rowspan="2">Blendon and Penhill</td>
<td colspan="2">Turnout 41.2%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Marriner, Howard C. *</td>
<td>CON</td>
<td>1,463</td>
<td>Hall, Steven F.</td>
<td>CON</td>
<td>1,805</td>
</tr>
<tr>
<td>Pallen, Eileen P. Ms.</td>
<td>CON</td>
<td>1,427</td>
<td>D'Amiral, Graham M.</td>
<td>CON</td>
<td>1,761</td>
</tr>
<tr>
<td>Hurt, David R. *</td>
<td>CON</td>
<td>1,424</td>
<td>O'Hare, Nick</td>
<td>CON</td>
<td>1,672</td>
</tr>
<tr>
<td>Ferro, Mike</td>
<td>UKIP</td>
<td>1,153</td>
<td>Harradine, Martin B.</td>
<td>UKIP</td>
<td>1,289</td>
</tr>
<tr>
<td>Thomas, Barrie R.</td>
<td>UKIP</td>
<td>1,125</td>
<td>Prior, Dave</td>
<td>LAB</td>
<td>714</td>
</tr>
<tr>
<td>Buttar, Harry</td>
<td>UKIP</td>
<td>1,065</td>
<td>Slater, Gerda Ms.</td>
<td>LAB</td>
<td>621</td>
</tr>
<tr>
<td>Murphy, Matthew J.</td>
<td>LAB</td>
<td>671</td>
<td>Slater, Stuart R.</td>
<td>LAB</td>
<td>574</td>
</tr>
<tr>
<td>Brown, Ron</td>
<td>LAB</td>
<td>655</td>
<td>Bradley, Erin Ms.</td>
<td>BNP</td>
<td>390</td>
</tr>
<tr>
<td>Turner, Pauline Ms.</td>
<td>LAB</td>
<td>634</td>
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table style="width:100%;">
<!-- Belvedere -->
<!-- No change -->
<!-- Turnout -->
<!-- Francis, Daniel -->
<!-- Macdonald, Gillian L. Ms. * -->
<!-- Newman, Sean B. * -->
<!-- Reilly, Catherine Ms. -->
<!-- Vick, Shirley J. Ms. -->
<!-- Bhogal, Amandeep K. -->
<!-- Bhogal, Pardeep K. Ms. -->
<!-- Haslam, Brian -->
<!-- Cordle, Sid -->
<!-- Ogunyemi, Toyin Ms. -->
<!-- Ogunyemi, Joel A. -->
<!-- Blackfen and Lamorbey -->
<!-- Beckwith, Brian G. -->
<!-- Craske, Peter H. -->
<!-- Smith, Lynn Ms. -->
<!-- Taylor, Chris -->
<!-- Barnbrook, Michael J. -->
<!-- Bryant, Elwyn J. -->
<!-- Dowling, Nicholas J. -->
<!-- Jackson, Judith E. Ms. -->
<!-- Dalton, David R. -->
<!-- Mccartney, Mick -->
<!-- Waitt, Chris -->
<!-- Hurren, Paul W. -->
<table style="width:100%;">
<!-- Belvedere -->
<!-- No change -->
<!-- Turnout -->
<!-- Francis, Daniel -->
<!-- Macdonald, Gillian L. Ms. * -->
<!-- Newman, Sean B. * -->
<!-- Reilly, Catherine Ms. -->
<!-- Vick, Shirley J. Ms. -->
<!-- Bhogal, Amandeep K. -->
<!-- Bhogal, Pardeep K. Ms. -->
<!-- Haslam, Brian -->
<!-- Cordle, Sid -->
<!-- Ogunyemi, Toyin Ms. -->
<!-- Ogunyemi, Joel A. -->
<!-- Blackfen and Lamorbey -->
<!-- Beckwith, Brian G. -->
<!-- Craske, Peter H. -->
<!-- Smith, Lynn Ms. -->
<!-- Taylor, Chris -->
<!-- Barnbrook, Michael J. -->
<!-- Bryant, Elwyn J. -->
<!-- Dowling, Nicholas J. -->
<!-- Jackson, Judith E. Ms. -->
<!-- Dalton, David R. -->
<!-- Mccartney, Mick -->
<!-- Waitt, Chris -->
<!-- Hurren, Paul W. -->
<table style="width:100%;">
<!-- Belvedere -->
<!-- No change -->
<!-- Turnout -->
<page_number>16</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Bexley
<table>
<thead>
<tr>
<td></td>
<td>Crayford</td>
<td>Turnout 37.6%</td>
<td>East Wickham</td>
<td>Turnout 40.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Bishop, Christine F. Ms.</td>
<td>CON</td>
<td>1,575</td>
<td>Catterall, Christine Ms.</td>
<td>CON</td>
<td>1,334</td>
</tr>
<tr>
<td>Lucia-Hennis,</td>
<td></td>
<td></td>
<td>Hunt, James*</td>
<td>CON</td>
<td>1,238</td>
</tr>
<tr>
<td>Geraldene A. Ms.*</td>
<td>CON</td>
<td>1,547</td>
<td>Munur, Cafer</td>
<td>CON</td>
<td>1,070</td>
</tr>
<tr>
<td>Davey, John</td>
<td>CON</td>
<td>1,466</td>
<td>Comley, Rob</td>
<td>UKIP</td>
<td>1,020</td>
</tr>
<tr>
<td>Shepheard, John D.</td>
<td>LAB</td>
<td>1,266</td>
<td>Fennelly, John P.</td>
<td>UKIP</td>
<td>944</td>
</tr>
<tr>
<td>Chase, Alexis Ms.</td>
<td>LAB</td>
<td>1,161</td>
<td>Banks, Ronnie</td>
<td>LAB</td>
<td>823</td>
</tr>
<tr>
<td>Perfect, Wendy J. Ms.</td>
<td>LAB</td>
<td>1,126</td>
<td>Daniels, Denis A.</td>
<td>LAB</td>
<td>776</td>
</tr>
<tr>
<td>James, Stephen A.</td>
<td>BNP</td>
<td>539</td>
<td>Malt, Sylvia Ms.</td>
<td>LAB</td>
<td>765</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="2">Cray Meadows<br>No change</td><td>Turnout 36.3%</td><td colspan="2"></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table style="border-collapse: collapse;">
<tbody style="border-collapse: collapse;">
<tr style="border-collapse: collapse;">
<th>Bacon, Cheryl Ms. *</th>
<th style="text-align: center;">CON<br>1,464<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>Nochange
Downing, Ross Ms. *</th>
<th style="text-align: center;">CON<br>1,312
No Change
Massey, Donald*</th>
<th style="text-align: center;">CON
Reader, Steve
Watkins, Luke
Riviere, Laneo
Hashemzadeh, Ailair
Brooks, John
Albakri, Jawarah Q.
Williams, Laurence
Danson Park
No Change
Bailey, Linda J. Ms. *</th>
<th style="text-align: center;">CON
UKIP
LAB
LAB
BNP
LD
CPA
CON
LAB
LAB
BNP
LD
CON
LAB
BNP
CON
BNP
No Change
Massey, Sharon M. Ms. *</th>
<th style="text-align: center;">CON
UKIP
LAB
LAB
BNP
LD
CPA
CON
No Change
Waters, John*</th>
<th style="text-align: center;">CON
Falconwood and Welling
Betts, Nigel
Clark, Val Ms.
French, Louie T.
Perrin, Pamela M. Ms.
Ball, Dennis J.
Perfect, Stephen E.
Choda, Josephine E.
Dobson, Jimmy
Lockington, Betty M. Ms.</th>
<th style="text-align: center;">CON
CON
CON
UKIP
LAB
LAB
BNP
LD
CON
CON
CON
CON
CON
CON
CON
CON
BNP
LD
CON
CON
CON
CON
BNP
LAB
LAB
BNP
LAB
BNP
LAB
BNP
LD
CON
CON
CON
CON
BNP
LAB
BNP
381
346
216
170
<table style="border-collapse: collapse;">
<tbody style="border-collapse: collapse;">
<tr style="border-collapse: collapse;">
<th>Bishop, Christine F. Ms.</th>
<th style="text-align: center;">CON
1,575
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change
No Change.
Catterall, Christine Ms.
Hunt, James*
Munur, Cafer.
Comley, Rob.
Fennelly, John P.
UKIP.
Banks, Ronnie.
Daniels, Denis A.
Malt, Sylvia Ms.
Jones, Michael.
Finch, Nicola Ms.
Mccoy, Jaymie.
Sexton, David F.
Boateng, Edward*
Ferreira, Joe.
Oppong-Asare, Abena Ms.
Forster, Keith W.
UKIP.
Clement, Megan Ms.
Oliver Therese M. Ms.
Femi-Adedayo Tosin.
Howard Robert D.
Falconwood and Welling.
Betts Nigel Clark Val Ms French Louie T Perrin Pamela M. Ms Ball Dennis J Perfect Stephen E Choda Josephine E Dobson Jimmy Lockington Betty M. Ms.</th>
<th style="text-align: center;">CON 1.334 CON 1.238 CON 1.070 UKIP 944 LAB 823 LAB 776 LAB 765 BNP 381 BNP 346 BNP 216 LD 170 No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed No Changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed no changed nochanged.</th>
<th style="text-align: center;">Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0% Turnout 40.0%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.6%
Turnout 35.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
Turnouts.
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>17</page_number>
<table>
<thead>
<tr>
<td>Lesnes Abbey</td>
<td>Turnout 42.2%</td>
<td>St. Mary's</td>
<td>Turnout 42.9%</td>
</tr>
<tr>
<td>3 LAB gain from CON</td>
<td>No change</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Hackett, Danny</td>
<td>LAB</td>
<td>1,154</td>
<td>Downing, Alan</td>
<td>CON</td>
<td>2,181</td>
</tr>
<tr>
<td>Amaning, Esther Ms.</td>
<td>LAB</td>
<td>1,409</td>
<td>Tandy, Colin</td>
<td>CON</td>
<td>2,112</td>
</tr>
<tr>
<td>Husband, John</td>
<td>LAB</td>
<td>1,402</td>
<td>Sawyer, Alex</td>
<td>CON</td>
<td>1,963</td>
</tr>
<tr>
<td>Allon, Kerry M.</td>
<td>CON</td>
<td>1,181</td>
<td>Briant, Donna Ms.</td>
<td>LAB</td>
<td>625</td>
</tr>
<tr>
<td>Attard, Chris</td>
<td>UKIP</td>
<td>1,137</td>
<td>Carter, Pamela D. Ms.</td>
<td>LAB</td>
<td>576</td>
</tr>
<tr>
<td>Anderson, Elizabeth M. Ms.</td>
<td>CON</td>
<td>1,131</td>
<td>Rooks, Jonathan S.</td>
<td>GRE</td>
<td>323</td>
</tr>
<tr>
<td>Allen, Keima Ms.</td>
<td>CON</td>
<td>1,084</td>
<td>Justham, Bernard C.</td>
<td>LAB</td>
<td>510</td>
</tr>
<tr>
<td>Bussey, Carl</td>
<td>BNP</td>
<td>284</td>
<td>Carter, Stuart P.</td>
<td>GRE</td>
<td>356</td>
</tr>
<tr>
<td></td><td></td><td></td><td>Moran, Derek J.</td><td>GRE</td><td>312</td>
</tr>
<tr>
<td>Longlands No change</td><td></td><td></td><td>Bryant, Mark<br>Nurse, Angela D. Ms.</td><td>BNP</td><td>271</td>
</tr>
<tr>
<td>Bacon, Gareth A.*<br>Leaf, David<br>Dourmoush, Andy<br>Ebbon, Nick<br>Dakshy, Ana<br>Harrod, Bryan J.<br>Moran, Bryan<br>Jaques, Michael R.<br>Spauli, Maurea Ms.</td><td>CON<br>CON<br>CON<br>UKIP<br>LAB<br>LD<br>LD<br>LD<br></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></th><th colspan="3">Turnout 37.9%</th><th colspan="2">Turnout 37.9%</th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><tbody style="text-align:center;">
<tr style="">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#EFEFEF;">
<th></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="">
18 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Brent**
Labour administration
<img>Map showing the results of the 2014 London Borough Council elections in Brent. The map is divided into electoral wards, each represented by a different colour. The colours are as follows:
- Blue: Conservative
- Orange: Labour/Liberal Democrat
- Red: Other parties (not specified)
The ward boundaries are not shown on this map.</img>
Conservative
Labour
Labour/Liberal Democrat
**State of the parties, 1964-2014**
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.514</td>
<td>6</td>
<td>56</td>
<td>1</td>
<td>-</td>
<td>63</td>
<td>22.514</td>
<td>36.3</td>
<td>20.1</td>
<td>47.6</td>
<td>16.4</td>
<td>16.0</td>
</tr>
<tr>
<td>6.510</td>
<td>6</td>
<td>40</td>
<td>17</td>
<td>-</td>
<td>63</td>
<td>6.510</td>
<td>60.1</td>
<td>21.8</td>
<td>31.8</td>
<td>29.5</td>
<td>6.9</td>
</tr>
<tr>
<td>4.506</td>
<td>153</td>
<td>31</td>
<td>27</td>
<td>-</td>
<td>63</td>
<td>4.506</td>
<td>37.3</td>
<td>-</td>
<td>34.3</td>
<td>-</td>
<td>17.0</td>
</tr>
<tr>
<td>2.502</td>
<td>19</td>
<td>35</td>
<td>9</td>
<td>-</td>
<td>63</td>
<td>2.502</td>
<td>30.2</td>
<td>33.2</td>
<td>42.0</td>
<td>-</td>
<td>16.5</td>
<td>-8.4</td>
</tr>
<tr>
<td>7.598</td>
<td>19</td>
<td>43</td>
<td>4</td>
<td>-</td>
<td>66</td>
<td>7.598</td>
<td>36.9</td>
<td>35.5</td>
<td>47.3</td>
<td>-14.0</td>
<td>-3.2</td>
</tr>
<tr>
<td>5.594</td>
<td>33</td>
<td>28</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></tr>
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<!-- Table: State of the parties, CON, LAB, LD, other -->
<!-- Table: General statistics -->
General statistics
| | Brent | London |
|---|---|---|
| Electorate | May 2014 | May 2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
| | Brent | London |
|---|---|---|
| Electorate | May-2014 | May-2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
| | Brent | London |
|---|---|---|
| Electorate | May-2014 | May-2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
| | Brent | London |
|---|---|---|
| Electorate | May-2014 | May-2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
| | Brent | London |
|---|---|---|
| Electorate | May-2014 | May-2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
| | Brent | London |
|---|---|---|
| Electorate | May-2014 | May-2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
| | Brent | London |
|---|---|---|
| Electorate | May-2014 | May-2010 |
| Resident population aged over | Mid-2014 | Mid-2010 |
| Estimated % unemployed | May-2014 | May-2010 |
| Band 'D' council tax | May-2014 | May-2010 |
<page_number>LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 page number: </page_number></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></html
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>19</page_number>
Brent
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Alperton</td>
<td>22.5.14</td>
<td>45.9</td>
<td>10.9</td>
<td>48.4</td>
<td>34.0</td>
<td>6.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>65.0</td>
<td>15.2</td>
<td>37.9</td>
<td>41.0</td>
<td>3.8</td>
<td>--</td>
<td>--</td>
<td>2.1</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Barnhill</td>
<td>22.5.14</td>
<td>32.1</td>
<td>26.2</td>
<td>54.3</td>
<td>6.8</td>
<td>9.0</td>
<td>--</td>
<td>--</td>
<td>3.7</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>3.5.12</td>
<td>38.0</td>
<td>28.6</td>
<td>56.5</td>
<td>--</td>
<td>11.1</td>
<td>--</td>
<td>--</td>
<td>3.8</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>57.5</td>
<td>33.7</td>
<td>44.4</td>
<td>15.7</td>
<td>6.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Brondesbury Park</td>
<td>22.5.14</td>
<td>36.5</td>
<td>40.0</td>
<td>29.1</td>
<td>15.0</td>
<td>15.9</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>61.8</td>
<td>25.2</td>
<td>24.4</td>
<td>43.2</td>
<td>7.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr><tr style="border-top: 1px solid black;">
<th>Dollis Hill<br>Dudden Hill<br>Fryent<br>Harlesden<br>Kensal Green<br>Kenton<br>Kilburn<br>Mapesbury<br>Northwick Park<br>Preston<br>Queens Park<br>Queensbury<br>Stonebridge<br>Sudbury<br>Tokyngton<br>Welsh Harp<br>Wembley Central<br>Willesden Green<br></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><tr style="border-top: 1px solid black;">
<th>Dollis Hill<br>Dudden Hill<br>Fryent<br>Harlesden<br>Kensal Green<br>Kenton<br>Kilburn<br>Mapesbury<br>Northwick Park<br>Preston<br>Queens Park<br>Queensbury<br>Stonebridge<br>Sudbury<br>Tokyngton<br>Welsh Harp<br>Wembley Central<br>Willesden Green<br></table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">% share of the poll (Brent)</table>
<table style="width: 100%;">
<tr style="background-color: #eaeaea;">
<th colspan="2">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Brent
<table style="" cellspacing="" cellpadding="">
<page_number>20</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Results**
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Alperton</strong><br>2 LAB gains from LD</td>
<td></td>
<td>Turnout 45.9%</td>
<td>Dollis Hill<br>3 LAB gains from LD</td>
<td>Turnout 43.7%</td>
</tr>
<tr>
<td><strong>Allie, James*</strong><br>LAB</td>
<td>2,370</td>
<td>Ahmed, Parvez<br>LAB</td>
<td>LAB<br>1,715</td>
</tr>
<tr>
<td><strong>Patel, Mili Ms.</strong><br>LAB</td>
<td>2,309</td>
<td>Mahmood, Arshad<br>LAB</td>
<td>LAB<br>1,669</td>
</tr>
<tr>
<td><strong>Chohan, Bhagwanji H.*<br>Brown, Daniel E.*<br>Patel, Trusha<br>Ahmed, Samira S.</strong><br>LAB</td>
<td>2,305<br>LD<br>LD<br>LD</td>
<td>Dixon, Liz Ms.<br>LD<br>Melia, Alex L.<br>Anwar, Mohammad</td>
<td>LAB<br>1,566<br>LD<br>1,172</td>
</tr>
<tr>
<td><strong>Chowdhury, Shamim A.</strong><br>Mistry, Ramila<br>Soames, Gerald H.<br>Akram, Yusuf</td>
<td>CON<br>CON<br>CON<br>CRE</td>
<td>612<br>506<br>452<br>325</td>
<td>Mehmood, Rbee<br>Prajapat, Suresh<br>Sachdev, Gopal<br>Murry, Pete</td>
<td>CON<br>CON<br>CON<br>GRE</td>
<td>536<br>442<br>393<br>288</td>
</tr>
<tr>
<td><strong>Barnhill No change</strong></td>
<td></td>
<td></td>
<td>Dudden Hill<br>I LAB gain from LD</td>
<td></td>
<td></td>
</tr>
<tr>
<td><strong>Marquis, Sarah-Louise L. Ms.</strong><br><strong>Choudhary, Shafique *</strong><br><strong>Pavey, Michael J. C.*<br>Kotecha, Janu</strong></td>
<td>LAB<br>LAB<br>CONE<br>CONE</td>
<td>2,055<br>2,010<br>1,988<br>1,023</td>
<td>Hirani, Krupesh J.*<br>Sisson, Richard H.<br>Cam, Costel<br>Greogiou, Anton</td>
<td>LAB<br>LAB<br>LAD<br>LAD</td>
<td>LAB<br>LAB<br>LAD<br>LAD</td>
<td>2,051<br>1,895<br>961<br>1,107</td>
</tr>
<tr>
<td><strong>Pindoria, Kanta R.</strong><br><strong>Mahmoodi, Jahan</strong><br><strong>Brown, Karien M. C. Ms.</strong><br><strong>Dunnall, Giovanna Ms.</strong></td>
<td>CONE<br>CONE<br>CONE<br>CRE</td>
<td>983<br>911<br>352<br>335</td>
<td>Sayeri, Jane Ms.<br>Baker, Theresa M. Ms.<br>Apsis, Simone<br>Patel, Sanjay</td>
<td>CONE<br>CONE<br>COREGRIE</td>
<td>CONE<br>CONE<br>COREGRIE</td>
<td>471<br>389<br>538</td>
</tr>
<tr>
<td><strong>Barratt, Christine A. Ms.</strong><br><strong>Thomson, Bruce</strong><br><strong>Jeffers, Eclena</strong></td>
<td>CRELDLDIND</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead>
<tr style="background-color: #cccccc;">
<th colspan="2">Brondesbury Park 3 CON gains from LD Turnout 36.5%</th>
<th colspan="2">Fryent Turnout 34.8%</th>
<th colspan="2"></th>
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<th style="text-align: center;">No change</th><span style="color: red;"></span> </span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> <span style="color: red;"></span> </table>
<table border="1">
<thead>
<tr style="background-color: #cccccc;">
<td colspan='3' align='center'>Shaw, Carol Ms.* CON 1,634 No change Crane, George E.* LAB 2,043 LAB 1,993 LAB 1,708 LAB 916 CON 845 CON 746 CON 422 LD 301 LD 208 LD 96
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<table border 'border' cellspacing = '0' cellpadding = '0' width = 'auto' height = 'auto' align = 'left' valign = 'top' id = 'content' class = 'content' title = '' > <tbody > <tr > < td > < strong > Results </ strong > < / td > < td > < strong > Alperton </ strong > < / td > < td > < strong > Turnout 45.9% </ strong > < / td > < td > < strong > Dollis Hill </ strong > < / td > < td > < strong > Turnout 43.7% </ strong > < / td > < / tr > < tr > < td > < strong > Allie , James* </ strong > < / td > < td > < strong > LAB </ strong > < / td > < td > < strong > 2 , 370 </ strong > < / td > < td > < strong > Ahmed , Parvez </ strong > < / td > < td > < strong > LAB </ strong > < / td > < td > < strong > 1 , 715 </ strong > < / td > < / tr > < tr > < td > < strong > Patel , Mili Ms. </ strong > < / td > < td > < strong > LAB </ strong > < / td > < td > < strong > 2 , 309 </ strong > < / td > < td > < strong > Mahmood , Arshad </ strong > < / td > < td > < strong > LAB </ strong > < / td > < td > < strong > 1 , 669 </ strong > < / td > < / tr >> < tr > < td > < strong > Chohan , Bhagwanji H.* < / strong > < / td > < td > < strong > LAB < / strong > < / td > < td > < strong > 2 , 305 < / strong > < / td > < td > < strong > Dixon , Liz Ms. < / strong > < / td > < td > < strong > LAB < / strong > < / td > < td > < strong > 1 , 566 < / strong > < / td > </ tr>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>21</page_number>
<table>
<thead>
<tr>
<td>Harlesden<br>No change</td>
<td>Turnout 30.2%</td>
<td>Kilburn<br>No change</td>
<td>Turnout 32.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Eniola, Aisha<br>Mcleish, Lloy<br>Thomas, Bobby</td>
<td>LAB<br>LAB<br>LAB</td>
<td>2,160<br>2,031<br>2,017</td>
<td>Duffy, John F.<br>Coneeley, Rita L. Ms.<br>Oladapo, Tayo*</td>
<td>LAB<br>LAB<br>LAB</td>
<td>2,162<br>2,147<br>1,965</td>
</tr>
<tr>
<td>Erskine, Simon<br>Motley, William M.</td>
<td>GRE<br>LD</td>
<td>459<br>387</td>
<td>Belazka, Nas<br>Jones, Matt</td>
<td>GRE<br>CON</td>
<td>733<br>582</td>
</tr>
<tr>
<td>Boyle, John<br>Fowler, Paul E.</td>
<td>TUSC</td>
<td>359<br>313</td>
<td>Brockbank, Louie<br>Gallagher, Chris</td>
<td>CON<br>CON</td>
<td>517<br>512</td>
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<tr>
<td>Whittle, Philip L.</td>
<td>LD</td>
<td>283</td>
<td>Ayres, Diana Ms.</td>
<td>LD</td>
<td>470</td>
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<tr>
<td>Camadoo, Brindanand D.</td>
<td>CON</td>
<td>276</td>
<td>Avonitis, George</td>
<td>LD</td>
<td>361</td>
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<tr>
<td>Prajapati, Arthi<br>Rabadia, Vijaya K.</td>
<td>CON<br>CON</td>
<td>270<br>249</td>
<td>Round, Edward<br>Counihan-Sanchez, Izzie Ms.</td>
<td>LD<br>TUSC</td>
<td>321<br>224</td>
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<table border="1">
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<tr><th>Kensal Green<br>No change</th><th></th><th></th><th></th><th></th><th></th></tr>
<tr><th>Hector, Claudia Ms. *</th><th>LAB</th><th>1,819</th><th colspan="2">Mapesbury 2 LAB gains from LD Colacicco, Lia Ms.</th><th></th></tr>
<tr><th>Filson, Dan</th><th>LAB</th><th>1,808</th><th colspan="2">Shahzad, Ahmad LAB 1,278 CON 1,257 CON 1,257 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,241 CON 1,</th></tr>
<tr><th>Kelcher, Matt</th><th>LAB</th><th>1,730</th><th colspan="3">Canr Helen G. Ms. Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre GreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreen Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren Gren </table>
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<tr><th>Kenton<br>No change</th><th></th><th></th><th></th><th></th><th></th></tr>
<tr><th>Kansagra Suresh L. *</th><th>CON</th><th>CON</th><th>Perrin Keith McLennan Margaret A. Ms. * LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALAB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALBLA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBA B LBALA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL ABL 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liili liili liili liili liili liili liili liili liili liili liiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii iiiii ee eee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee 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<img>A table showing election results for London Borough Council elections in May 2008.</img>
<table border="0">
<thead>
<tr><th>Kensal Park No change</th><th></th><th></th><th></th><th></th><th></th></tr>
<tr><th>Kansagra Suresh L. *</th><th>CON</th><th>Perrin Keith McLennan Margaret A. 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EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC EC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI LI II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I
<img>A table showing election results for London Borough Council elections in May 2008.</img>
<table border="0">
<thead>
<tr><th>London Borough Council Elections May 2008 No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Change No Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed Changed ChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChangedChang changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changed changedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchangedchange chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chang chanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc hanc 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anchorc anchorc anchorc anchorc anchorc anchorc anchorc anchorc anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchor c anchorto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rto rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotr to rtotrt o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t o t ototototototototototototototototototototototototototototototototototototototototototototototototototototatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata atata attattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattattat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attat attet et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er er ererererererererererererererererererererererererererererererererererererererererere re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re re rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rer rerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererrererre rr err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err err errerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrerrrrr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr rr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irr irriiriririririririririririririririririririririririririririririririririririririririririririririrrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirrirri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri ri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri irri iriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriiriirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirtiirttiitititititititititititititititititititititititititititititititititititititititititititititititititititi ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tit tittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittittitttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttitttittt
<page_number>22</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Brent
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Preston</td>
<td>Turnout 35.7%</td>
<td>Stonebridge</td>
<td>Turnout 32.6%</td>
</tr>
<tr>
<td>1 LAB gain from CON</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Bradley, Matthew</td>
<td>LAB</td>
<td>1,712</td>
<td>Khan, Sabina Ms.</td>
<td>LAB</td>
<td>2,638</td>
</tr>
<tr>
<td>Harrison, Patricia Ms. *</td>
<td>LAB</td>
<td>1,671</td>
<td>Ezeajughi, Ernest N.</td>
<td>LAB</td>
<td>2,522</td>
</tr>
<tr>
<td>Hossain, Jean Ms. *</td>
<td>LAB</td>
<td>1,549</td>
<td>Kalwala, Zaffar V.</td>
<td>LAB</td>
<td>2,386</td>
</tr>
<tr>
<td>Patel, Harshadbhai *</td>
<td>CON</td>
<td>1,428</td>
<td>Lake, Susan Ms.</td>
<td>LD</td>
<td>406</td>
</tr>
<tr>
<td>Maurice, Michael</td>
<td>CON</td>
<td>1,339</td>
<td>Macarthur, Donald N.</td>
<td>LD</td>
<td>356</td>
</tr>
<tr>
<td>Patel, Monica Ms.</td>
<td>CON</td>
<td>1,334</td>
<td>Jafferali, Summer</td>
<td>CON</td>
<td>331</td>
</tr>
<tr>
<td>Deen, Jeffrey H.</td>
<td>UKIP</td>
<td>345</td>
<td>Patel, Rohit N.</td>
<td>CON</td>
<td>317</td>
</tr>
<tr>
<td>Erskine, May</td>
<td>GRE</td>
<td>317</td>
<td>Orr, Brian</td>
<td>GRE</td>
<td>289</td>
</tr>
<tr>
<td>Barker, Eileen V. Ms.</td>
<td>LD</td>
<td>260</td>
<td>Shah, Dineshkumar S.</td>
<td>LD</td>
<td>260</td>
</tr>
<tr>
<td>Bunce-Linsell, Jacqueline A. Ms.</td>
<td>LD</td>
<td>245</td>
<td>Rabadia, Pritul</td>
<td>CON</td>
<td>252</td>
</tr>
<tr>
<td>Johnson, David C.</td>
<td>LD</td>
<td>211</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th colspan="2">Queens Park Turnout 34.0%</th></tr></thead>
<tbody style="text-align: center;">
<tr style="background-color: #cccccc;">
<th colspan="2">2 LAB gains from LD 1 LAB gain from LD </th></tr>
<tr style="background-color: #cccccc;">
<th>Denselow, James *</th></tr>
<tr style="background-color: #cccccc;">
<th>Nerva, Neil B.</th></tr>
<tr style="background-color: #cccccc;">
<th>Southwood, Eleanor Ms.</th></tr>
<tr style="background-color: #cccccc;">
<th>Powers, Jennifer Ms.</th></tr>
<tr style="background-color: #cccccc;">
<th>Freed, Alex </th></tr>
<tr style="background-color: #cccccc;">
<th>Bonham-Carter, Virginia L. Ms.</th></tr>
<tr style="background-color: #cccccc;">
<th>Rosse, Shaun </th></tr>
<tr style="background-color: #cccccc;">
<th>Alawiye, Abdul </th></tr>
<tr style="background-color: #cccccc;">
<th>Thomas, Isabella Ms.</th></tr>
<tr style="background-color: #cccccc;">
<th>Bertulis-Fernandes, Jonathan J. </th></tr>
<tr style="background-color: #cccccc;">
<th>No change </th></tr>
<tr style="background-color: #cccccc;">
<th>Kabir, Sandra Ms. *</th></tr>
<tr style="background-color: #cccccc;">
<th>Patel, Ramesh*</th></tr>
<tr style="background-color: #cccccc;">
<th>Nalheerathan, Kana *</th></tr>
<tr style="background-color: #cccccc;">
<th>Mistry, Karita </th></tr>
<tr style="background-color: #cccccc;">
<th>Mehta, Snehal </th></tr>
<tr style="background-color: #cccccc;">
<th>Patel, Jayanti </th></tr>
<tr style="background-color: #cccccc;">
<th>Cameron, Barry N. </th></tr>
<tr style="background-color: #cccccc;">
<th>Biloum, Adlen </th></tr>
<tr style="background-color: #cccccc;">
<th>Brown, Valerie L. Ms.</th></tr>
<tr style="background-color: #cccccc;">
<th>Lewis, John D. </th></tr>
<tr style="background-color: #cccccc;">
<th>Cruickshank, Peggy J. Ms.</th></tr>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th colspan="2">Queensbury Turnout 40.5%</th></tr></thead>
<tbody style="text-align: center;">
<tr style="background-color: #cccccc;">
<th colspan="2">Tokyngton No change No change </th></tr>
<tr style="background-color: #cccccc;">
<th colspan="2">Butt, Muhammad A.* Sheth, Ketan* LAB 2,247 LAB 2,143 LAB 1,990 CON 816 CON 701 CON 573 LD 502 GRE 425 LD 406 LD 369 LD 170 </th></tr>
<tr style="background-color: #cccccc;">
<th colspan="2">LAB 2,114 LAB 2,022 Hylton Orleen LAB 1,990 CON 1,877 Desai Jimmy Jennifer Ms. CON 1,669 Seaton-Brown Mesbah CON 1,644 Uddin Khidabia Vijya P. LD 421 Akram Khaled Gre 332 Hirani Chumilal K. LD 252 Hasani Naim LD 209 LD 170 CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con ConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCsCs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cs Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc Cc 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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>23</page_number>
<table>
<thead>
<tr>
<td>Welsh Harp</td>
<td>Turnout 34.8%</td>
<td>Willesden Green</td>
<td>Turnout 34.1%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td>2 LAB gains from LD</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Mashari, Roxanne Ms. *</td>
<td>LAB</td>
<td>1,833</td>
<td>Jones, Lesley A. Ms. *</td>
<td>LAB</td>
<td>1,730</td>
</tr>
<tr>
<td>Agha, Amer</td>
<td>LAB</td>
<td>1,831</td>
<td>Collier, Bernard J. F.</td>
<td>LAB</td>
<td>1,628</td>
</tr>
<tr>
<td>Farah, Harbi</td>
<td>LAB</td>
<td>1,653</td>
<td>Miller, Tom</td>
<td>LAB</td>
<td>1,446</td>
</tr>
<tr>
<td>Drab, Sylvia M. Ms.</td>
<td>CON</td>
<td>690</td>
<td>Colas, Alex</td>
<td>MWG</td>
<td>846</td>
</tr>
<tr>
<td>Lacey, Richard A.</td>
<td>CON</td>
<td>601</td>
<td>Deedat, Omar</td>
<td>LD</td>
<td>638</td>
</tr>
<tr>
<td>Alghoul, Mohamed</td>
<td>CON</td>
<td>547</td>
<td>Francis, Martin</td>
<td>GRE</td>
<td>531</td>
</tr>
<tr>
<td>Hussain, Syed I.</td>
<td>UKIP</td>
<td>447</td>
<td>Ali, Shaharar</td>
<td>GRE</td>
<td>520</td>
</tr>
<tr>
<td>Hassan, Jafar</td>
<td>GRE</td>
<td>351</td>
<td>Jahangir, Ibrahim</td>
<td>LD</td>
<td>480</td>
</tr>
<tr>
<td>Ratnayake, Patricia Ms.</td>
<td>LD</td>
<td>334</td>
<td>Wejursiyya, 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dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee
<table border="1">
<thead><tr><th>Brent<br>No change<br></th><th colspan="2">Turnout 38.8%</th><th colspan="2">Turnout 30.0%</th></tr></thead><tbody><tr><th rowspan="2">Kenton<br>17 February 2011<br>No change<br></th><th rowspan="2">LAB<br>CAN<br>NP<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br>PV<br<P>V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V<V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-V-<th rowspan="2">Dollis Hill No change 22 March 2012 No change Hopkins, Alison Ms. LD 1,205 Ahmed, Parvez LAB 1,168 Ahmedi.ali Samer CON 140 Murry, Peter GRE 79 Death of Castle, Alexander V. (LD)</th></tr><tr><th>Kansagra, Sures<h>Southwood, Ellie Ms.<br>Dunwell, Robert<h>Hirani, Chunilal<h>Mathison, Alan<h></th><th>CAN<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NP<BR>NNNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PN PNP NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEEEEEEESSEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEESEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE SEE See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se Se SeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSeeSes Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Ses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sses Sees So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So So SoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSoSOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOoOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOOooOO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo OO oo O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Barnhill
03 May 2012
No change
Pavey, Michael LAB 2,326 Pindoria, Kanta CON 1,180 Francis, Martin GRE 457 Vagehaia Venilal IND 156 Resignation of Beckman, Judith Ms. (LAB)
Resignation of Mistry, Jayesh (LAB)
<page_number>24</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Bromley**
Conservative administration
<img>A map of Bromley showing the boundaries of the wards and their party affiliations. The Conservative party is shown in blue, Labour in purple, Conservative/Labour in green, and UKIP in black. The ward names are written on top of each ward.</img>
| Ward | Party |
|---|---|
| 1 | Bickley | 12 | Darwin |
| 2 | Biggin Hill | 13 | Farnborough and Crofton |
| 3 | Bromley Common and Keston | 14 | Hayes and Coney Hall |
| 4 | Bromley Town | 15 | Kelsey and Eden Park |
| 5 | Chelsfield and Pratts | 16 | Mottingham and North Orpington |
| 6 | Chislehurst | 17 | Penge and Cator |
| 7 | Clock House | 18 | Petts Wood and Knoll |
| 8 | Copes Cope | 19 | Petts Wood and Knoll |
| 9 | Cray Valley East | 20 | Penge and Knoll |
| 10 | Cray Valley West | 21 | Sundridge Shortlands |
| 11 | Crystal Palace | 22 | West Wickham |
Conservative
Labour
Conservative/Labour
UKIP
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% share of the poll, 1964-2014</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>51</td>
<td>7</td>
<td>-</td>
<td>2</td>
<td>60</td>
<td>22.5.14</td>
<td>40.8</td>
<td>39.6</td>
<td>17.6</td>
<td>8.8</td>
<td>34.1</td>
</tr>
<tr>
<td>6.5.10</td>
<td>53</td>
<td>3</td>
<td>4</td>
<td>-</td>
<td>60</td>
<td>6.5.10</td>
<td>68.9</td>
<td>49.6</td>
<td>15.1</td>
<td>24.2</td>
<td>11.2</td>
</tr>
<tr>
<td>4.5.06</td>
<td>49</td>
<td>4</td>
<td>7</td>
<td>-</td>
<td>60</td>
<td>4.5.06</td>
<td>42.0</td>
<td>54.6</td>
<td>12.1</td>
<td>25.2</td>
<td>8.1</td>
</tr>
<tr>
<td>2.5.02</td>
<td>41</td>
<td>6</td>
<td>13</td>
<td>-</td>
<td>60</td>
<td>2.5.02</td>
<td>36.8</td>
<td>51.1</td>
<td>14.0</td>
<td>32.2</td>
<td>2.6</td>
</tr>
<tr>
<td>7.5.98</td>
<td>28</td>
<td>7</td>
<td>25</td>
<td>-</td>
<td>60</td>
<td>7.5.98</td>
<td>40.8</td>
<td>45.3</td>
<td>18.7</td>
<td>35.0</td>
<td>1.1</td>
</tr>
<tr>
<td>5.5.94</td>
<td>33</td>
<td>7</td>
<td>21</td>
<td>-</td>
<td>60</td>
<td>5.5.94</td>
<td>48.8</td>
<td>49.8<br/>49.8<br/>49.8<br/>49.8<br/>49.8<br/>49.8<br/>49.8<br/>49.8<br/>49.8<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/>49.<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><table>
General statistics
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<!-- Table: General statistics -->
General statistics
| | Bromley | London |
|------------------|-----------|-----------|
| Electorate | May 2014 | May 2010 |
| | | |
| | £236,553 | £5,878,826|
| | | |
| Resident population aged 18 and over Mid 2014 Mid 2010 |
| | | |
| | £245,900 | £6,597,100|
| | £200,200 | £6,318,000|
| Estimated % unemployed 2013/14 2009/10 |
| | | |
| | 5.8 | 8.2 |
| Band 'D' council tax May 2014 May 2010 |
| | £1,313 | £1,301 |
**Bromley** **London**
May 2014: £236,553; May 2010: £236,613; £5,878,826; £6,597,100; £6,318,000; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,777; £3,
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>25</page_number>
**% share of the poll**
| | Date | %poll | CON | LAB | LD | GRE | BNP | UKIP | IND | REA Others |
|---|---|---|---|---|---|---|---|---|---|---|
| **Bickley** | 22.5.14 | 41.8 | 53.5 | 13.1 | 6.9 | 9.3 | - | 17.3 | - | - |
| 6.5.10 | 71.0 | 57.2 | 10.8 | 17.6 | 7.2 | - | 7.3 | - | - |
| **Biggin Hill** | 22.5.14 | 41.4 | 39.9 | 7.0 | 12.6 | 8.2 | - | 32.2 | - | - |
| 6.5.10 | 70.6 | 49.2 | 6.1 | 29.5 | - | 6.9 | 8.3 | - |
| **Bromley Common & Keston** | 22.5.14 | 39.9 | 43.5 | 14.6 | 5.8 | 13.4 | - | 22.6 | - | - |
| 6.5.10 | 67.6 | 56.3 | 12.6 | 20.5 | - | - | 10.7 | - |
| **Bromley Town** | 22.5.14 | 37.5 | 39.3 | 20.7 | 10.6 | 14.2 | - | 15.2 | - |
| 3.5.12 & 6.5.10 & 66.7 & 41.9 & 19.3 & 21.8 & 10.1 & - & - |
| **Chefsfield & Pratts Bottom** & **Chislehurst** & **Clock House** & **Copers Cope** & **Cray Valley East** & **Cray Valley West** & **Crystal Palace** & **Darwin** & **Farnborough and Crofton** & **Hayes and Coney Hall** & **Kelsey and Eden Park** & **Mottingham & Chislehurst North** & **Orpington** & **Penge and Cator** & **Petts Wood and Knoll** & **Plaistow and Sundridge** & **Shortlands** & **West Wickham**
| 22.5.14 & 6.5.10 & 69.1 & 33.8 & 24.0 & 29.5 & - & - |
| **Cray Valley East** (cont.) & **Cray Valley West** (cont.) & **Crystal Palace** (cont.) & **Darwin** (cont.) & **Farnborough and Crofton** (cont.) & **Hayes and Coney Hall** (cont.) & **Kelsey and Eden Park** (cont.) & **Mottingham & Chislehurst North** (cont.) & **Orpington** (cont.) & **Penge and Cator** (cont.) & **Petts Wood and Knoll** (cont.) & **Plaistow and Sundridge** (cont.) & **Shortlands** (cont.) & **West Wickham** (cont.)
| <page_number>65</page_number> <page_number>75</page_number> <page_number>78</page_number> <page_number>81</page_number> <page_number>84</page_number> <page_number>87</page_number> <page_number>90</page_number> <page_number>93</page_number> <page_number>96</page_number> <page_number>99</page_number> <page_number>102</page_number> <page_number>105</page_number> <page_number>108</page_number> <page_number>111</page_number> <page_number>114</page_number>
| <page_number>43</page_number> <page_number>46</page_number> <page_number>49</page_number> <page_number>52</page_number> <page_number>55</page_number> <page_number>58</page_number> <page_number>61</page_number> <page_number>64</page_number> <page_number>67</page_number> <page_number>70</page_number> <page_number>73</page_number>
| <watermark>Bromley</watermark>|
<page_number>26</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Results**
**Bromley**
| No change | Turnout 41.8% | Bromley Town | Turnout 37.5% |
|---|---|---|---|
| **Bickley** | | No change | |
| Rideout, Catherine E. Ms.* | CON | 2,667 | Dykes, Nicola L. Ms.* | CON | 2,099 |
| Lymer, Katherine L. Ms.* | CON | 2,628 | Harmer, William P.* | CON | 1,993 |
| Smith, Colin P.* | CON | 2,625 | Rutherford, Michael J. | CON | 1,867 |
| Woods, David M. | UKIP | 889 | Oliver, Marcus C. | LAB | 1,126 |
| Francis, John B. | UKIP | 842 | Cormaish, Richard A. | LAB | 1,083 |
| Quarterman, David R. | UKIP | 825 | Sutton, Rubina B. Ms. | LAB | 934 |
| Galvin, Kelly J. Ms. | LAB | 667 | Bryan, Derek A. | UKIP | 823 |
| Clough, Christopher G. | LAB | 646 | Thompson, Peter J. | UKIP | 803 |
| Evans, Robert N. | LAB | 631 | Ion, Mary E. Ms. | GRE | 716 |
| Robertson, Rosin T. S. Ms. | GRE | 457 | Van Der Elst, Anthony C. J. | UKIP | 677 |
| Barr, Charles J. | LD | 370 | England, Colin P. | LD | 558 |
| Wye, Victoria E. Ms. | LD | 339 | Berridge, Michael J. | LD | 541 |
| Webber, Jonathan E. | LD | 309 |
**Biggin Hill**
No change
<table>
<thead>
<tr>
<th>Benington</th>
<th>Turnout 41.4%</th>
<th>Chelsfield and Pratts Bottom</th>
<th>Turnout 47.5%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Julian W. *</td>
<td>CON</td>
<td>1,652</td>
<td>Buttinger, Lydia H. Ms.</td>
<td>CON</td>
<td>2,482</td>
</tr>
<tr>
<td>Stevens, Melanie M. Ms.</td>
<td>CON</td>
<td>1,282</td>
<td>Huntington-Thresher,</td>
<td>CON</td>
<td>2,383</td>
</tr>
<tr>
<td>Jenner, Emmett W.</td>
<td>UKIP</td>
<td>1,185</td>
<td>Samaris V. C. Ms.</td>
<td>CON</td>
<td>2,312</td>
</tr>
<tr>
<td>Gostt, Geoffrey C.</td>
<td>LD</td>
<td>501</td>
<td>Onslow, Keith</td>
<td>UKIP</td>
<td>1,727</td>
</tr>
<tr>
<td>Shekyls, Walter R.</td>
<td>LD</td>
<td>428</td>
<td>Crainger, Julian P. G.</td>
<td>UKIP</td>
<td>1,559</td>
</tr>
<tr>
<td>Savage, Colin F.</td>
<td>LAB</td>
<td>314</td>
<td>Greenidge, Patrick A. R.</td>
<td>UKIP</td>
<td>1,408</td>
</tr>
<tr>
<td>Yeates, Laura J. Ms.</td>
<td>GRE</td>
<td>300</td>
<td>Slade, Daniel J.</td>
<td>LAB</td>
<td>631</td>
</tr>
<tr>
<td>Roberts, Michael</td>
<td>LAB</td>
<td>203</td>
<td>Richardson, Stephen M.</td>
<td>GRE</td>
<td>582</td>
</tr>
<tr>
<td>Bromley Common and Keston No change</td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th>Carr, Stephen L.</th>
<th style="text-align:right;">CON<br/>2,368<br/></th>
<th style="text-align:right;">Michael, Alexa C. A. Ms.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">CON<br/>2,350<br/></th>
<th style="text-align:right;">Bennett, Ruth E. M. Ms.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">CON<br/>2,288<br/></th>
<th style="text-align:right;">Bailey, John D.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">UKIP<br/>1,279<br/></th>
<th style="text-align:right;">Todd, Robert D.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">LAB<br/>1,150<br/></th>
<th style="text-align:right;">Simon, Ufuoma A. Ms.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">LAB<br/>848<br/></th>
<th style="text-align:right;">Abbitt, Gareth W.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">LAB<br/>836<br/></th>
<th style="text-align:right;">Remon, Pamela C. Ms.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">GRE<br/>720<br/></th>
<th style="text-align:right;">Williams, Peter J.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">LAB<br/>663<br/></th>
<th style="text-align:right;">Blackburn, Sheila M. Ms.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">LD<br/>350<br/></th>
<th style="text-align:right;">Berry, Dawn M. M.<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">LD<br/>275<br/></th>
<th style="text-align:right;"></th>
<th colspan='3' align='right'>No change<br/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/><hr/></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>
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<thead style="text-align:center;">
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<th>Boughey, Kathleen A. Ms.*<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th style="text-align:left;">CON<br/>2,766<br/></th>
<th colspan='3' align='right'>No change<br /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /><hr /></tbody></table></tbody></table>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th>Bosshardt, Eric *</table border="" cellpadding="" cellspacing="" width="">
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<th rowspan="">Payne,</th>
<th rowspan="">Ian F*</table border="" cellpadding="" cellspacing="" width="">
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>27</page_number>
<table>
<thead>
<tr>
<td>Clock House<br>2 LAB gains, 1 from CON, 1 from LD</td>
<td>Turnout 42.4%</td>
<td>Cray Valley West<br>2 UKIP gains from CON</td>
<td>Turnout 34.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Allen, Vanessa A. Ms.</td>
<td>LAB<br>1,900</td>
<td>Livett, David G.</td>
<td>UKIP<br>1,245</td>
</tr>
<tr>
<td>Phillips, Sarah J. Ms.*</td>
<td>CON<br>1,699</td>
<td>Nathan, Terence P.</td>
<td>UKIP<br>1,202</td>
</tr>
<tr>
<td>Dunn, Ian W.</td>
<td>LAB<br>1,663</td>
<td>Ellis, Judith E. Ms.*</td>
<td>CON<br>1,133</td>
</tr>
<tr>
<td>King, Joshua M. P.</td>
<td>LAB<br>1,633</td>
<td>Ince, John R.*</td>
<td>CON<br>1,129</td>
</tr>
<tr>
<td>Milner, Nicholas P.*</td>
<td>CON<br>1,594</td>
<td>Willetts, Colin</td>
<td>IND<br>1,095</td>
</tr>
<tr>
<td>Wood, Paul S. G.</td>
<td>CON<br>1,420</td>
<td>Tubb, Daniel</td>
<td>UKIP<br>1,040</td>
</tr>
<tr>
<td>Toomey, Margaret A. Ms.</td>
<td>GRE<br>922</td>
<td>Du Plessis, Graham A.</td>
<td>LAB<br>939</td>
</tr>
<tr>
<td>Adams, Reginald W.*</td>
<td>LD<br>818</td>
<td>Strainger, Harry R.*</td>
<td>CON<br>914</td>
</tr>
<tr>
<td>Brolly, Owen G. M.</td>
<td>UKIP<br>784</td>
<td>Taylor, Christopher W.</td>
<td>LAB<br>892</td>
</tr>
<tr>
<td>Nash, Paul D.</td>
<td>LD<br>598</td>
<td>Rowland, Rebecca J. Ms.</td>
<td>LAB<br>863</td>
</tr>
<tr>
<td>Henson, Joseph T. J.</td>
<td>LD<br>491</td>
<td>Farrell, Sean F.</td>
<td>GRE<br>313</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Copers Cope<br>No change</td><td colspan="2">Bignell, Patricia M. Ms.<br>Bignell, Michael J.<br>LD<br colspan="2">Comrie, Nicholas J.<br colspan="2">Tonks, Roger W.<br colspan="2">BNP 139</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Tickner, Michael J.*<br colspan="3">Turnout 38.6%</td><td colspan="2">Crystal Palace 37.1%</td></tr>
<tr style="background-color: #f0f0f0;">
<td rowspan="2">Wells, Stephen F. C.*<br>Mellor, Russell L.*<br>Milton, Catherine Ms.</td><td rowspan="2">CON<br colspan="2">2,453<br colspan="2">2 LAB gains from LD 2,380 2,232 1,136 1,000 971 952 890 590 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD 1 CON gain from LD</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th rowspan="2" style="text-align: center;">Page,</th><th rowspan="2" style="text-align: center;">Angela Ms.</th><th colspan="3" style="text-align: center;">CON<br colspan="2" style="text-align: center;">Darwin<br>No change</th><th rowspan="2" style="text-align: right;">Turnout <strong style="color: red;">48.1%</strong></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3" style="text-align: center;">CON<br colspan="2" style="text-align: center;">Darwin<br>No change</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="2" style="text-align: center;">Ball,</th><th rowspan="2" style="text-align: center;">Christopher D.</th><th colspan="3" style="text-align: center;">CON<br colspan="2" style="text-align: center;">No change</th><th rowspan="2" style="text-align: right;">Turnout <strong style="color: red;">48.7%</strong></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3" style="text-align: center;">CON<br colspan="2" style="text-align: center;">No change</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="2" style="text-align: center;">Ball,</th><th rowspan="2" style="text-align: center;">Tuyet P.</th><th colspan="3" style="text-align: center;">CON<br colspan="2" style="text-align: center;">No change</th><th rowspan="2" style="text-align: right;">Turnout <strong style="color: red;">48.7%</strong></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3" style="text-align: center;">CON<br colspan="2" style="text-align: center;">No change</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="2" style="text-align: center;">Greenhough,</th><th rowspan="2" style="text-align: center;">James M.</th><th colspan="3" style="text-align: center;">UKIP<br colspan="2" style="text-align: center;">No change</th><th rowspan="2" style="text-align: right;">Turnout <strong style="">48.7%</strong></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3" style="text-align: center;">UKIP<br colspan="" style="">No change</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="2" style="">Greenhough,</th><th rowspan="">Greenhough,</th><th colspan=""><table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table></th><th colspan=""><table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table></th><th colspan=""><table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table></th><th rowspan="">Turnout <strong style="">48.7%</strong></th></tr>
<tr style=""><table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr><td>Pearce,</td></tr><tr><td>James M.</td></tr></tbody></table>
<table border="">
<tbody><tr><td>Dawson,</td></tr><tr>< td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
td>Dawson,
td>Pearce,
td>James M.
</tbody></table>
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<page_number>28</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Bromley
<table>
<thead>
<tr>
<td>Hayes and Coney Hall</td>
<td>Turnout 42.1%</td>
<td>Orpington</td>
<td>Turnout 42.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Arthur, Graham L.</td>
<td>CON<br>2,965</td>
<td>Bottling, Kim D. Ms.<br>Tunnicliffe, Pauline A. Ms.*</td>
<td>CON<br>2,519<br>2,471</td>
</tr>
<tr>
<td>Reddin, Neil R.</td>
<td>CON<br>2,509</td>
<td>Huntington-Thresher, William K. E.*</td>
<td>CON<br>2,452</td>
</tr>
<tr>
<td>Fortune, Peter T.</td>
<td>CON<br>2,475</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Tanner, Cwendoline S. Ms.</td>
<td>UKIP<br>1,349</td>
<td>Wilson, Colin A.</td>
<td>UKIP<br>1,290</td>
</tr>
<tr>
<td>Philip, Brian J.</td>
<td>UKIP<br>1,259</td>
<td>Wilson, Jill Ms.</td>
<td>UKIP<br>1,229</td>
</tr>
<tr>
<td>Head, Katherine M. Ms.</td>
<td>LAB<br>878</td>
<td>Stoten, Alexander P.</td>
<td>LAB<br>739</td>
</tr>
<tr>
<td>Street, John R.</td>
<td>GRE<br>725</td>
<td>Marrriott, Michael H.</td>
<td>GRE<br>681</td>
</tr>
<tr>
<td>Parkes, John A. C.</td>
<td>LAB<br>725</td>
<td>Coleman, Jennifer A. Ms.</td>
<td>LAB<br>663</td>
</tr>
<tr>
<td>Wilkinson, Bernard J.</td>
<td>LAB<br>543</td>
<td>Hall, Michael J.</td>
<td>LD<br>558</td>
</tr>
<tr>
<td>Grieths, Owen T.</td>
<td>LD<br>503</td>
<td>Bhuiyan, Md G. K.</td>
<td>LAB<br>556</td>
</tr>
<tr>
<td>Daniell, Steven W.</td>
<td>LD<br>374</td>
<td>Ayres, Margaret Ms.</td>
<td>LD<br>441</td>
</tr>
<table border="1">
<thead><tr><th>Kelsey and Eden Park No change Turnout 41.7%</th><th></th><th></th><th>Penge and Cator Turnout 39.7%</th></tr></thead><tbody><tr><th colspan="4">Collins, Alan J. C. CON Turnout 27.78 No change LAB Turnout 39.7%</th></tr><tr><th colspan="4">Dean, Peter L.* CON Turnout 26.93 No change LAB Turnout 39.7%</th></tr><tr><th colspan="4">Smith, Diane H. Ms.* CON Turnout 25.93 No change LAB Turnout 39.7%</th></tr><tr><th colspan="4">Bardsley, Marie E. Ms. LAB Turnout 1.191 No change LAB Turnout 39.7%</th></tr><tr><th colspan="4">Mercer, Tobias C. UKIP Turnout 1.081 No change LAB Turnout 39.7%</th></tr><tr><th colspan="4">Scott, Stephen G. P. LAB Turnout 1.024 No change LAB Turnout 39.7%</th></tr><tr><th colspan="4">Obikoya, Olasupadekunle LAB Turnout .904 No change CON Turnout .904</th></tr><tr><th colspan="4">Cowan,Geraldine A. M. Ms. GRE Turnout .754 No change CON Turnout .904</th></tr><tr><th colspan="4">Stocker,Kay S. Ms. LD Turnout .543 No change CON Turnout .805</th></tr><tr><th colspan="4">Mottingham and Chislehurst North Turnout .36.3% No change LD Turnout .364</th></tr><tr><th colspan="4">Cartwright, David CON Turnout .1045 No change LD Turnout .314</th></tr><tr><th colspan="4">Rideout, Charles J. CON Turnout .875 No change LD Turnout .309</th></tr><tr><th colspan="4">Thomson,Karen G. Ms. UKIP Turnout .770 No change LAB Turnout .312</th></tr><tr><th colspan="4">Stack,Angela Ms. LAB Turnout .663 No change CON Turnout .312</th></tr><tr><th colspan="4">Russell,Samuel C. LAB Turnout .599 No change CON Turnout .310</th></tr><tr><th colspan="4">Mercer,Zoe N. Ms. GRE Turnout .278 No change CON Turnout .2837</th></tr><tr><th colspan="4">Dalton, Philip BNP Turnout .181 No change UKIP Turnout .105</th></tr><tr><th colspan="4">Coyte,Jane Ms. LD Turnout .130 No change LAB Turnout .709</th></tr><tr><th colspan="4">Houghton,John P. LD Turnout .124 No change GRE Turnout .671</th></tr><tr><th colspan="4">Fawthrop,Simon H.* CON Turnout .2837 No change LAB Turnout .546</th></tr><tr><th colspan="4">Watts,Richard F.* LAB Turnout .514 No change LAB Turnout .514</th></tr><tr><th colspan="4">Zaman,Mohammed K.* LAB Turnout .497 No change LD Turnout .497</th></tr><tr><th colspan="4">Taylor,Nigel W.* LD Turnout .459 No change LD Turnout .459</th></tr></tbody></table>
<img>Bromley map showing electoral wards and constituencies.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May 2014.</img>
<img>Bromley electoral results table for London Borough Council elections May
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>29</page_number>
<table>
<thead>
<tr>
<td>Plaistow and Sundridge</td>
<td>Turnout 37.0%</td>
<td>West Wickham</td>
<td>Turnout 44.4%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Harmer, Eleanor Ms.</td>
<td>CON</td>
<td>1,792</td>
<td>Gray, Jennifer H. Ms.</td>
<td>CON</td>
<td>2,823</td>
</tr>
<tr>
<td>Morgan, Peter L. W.</td>
<td>CON</td>
<td>1,737</td>
<td>Bennett, Nicholas J. *</td>
<td>CON</td>
<td>2,820</td>
</tr>
<tr>
<td>Turner, Michael</td>
<td>CON</td>
<td>1,592</td>
<td>Philpott, Thomas R.</td>
<td>CON</td>
<td>2,620</td>
</tr>
<tr>
<td>Armstrong, Robert</td>
<td>LAB</td>
<td>1,141</td>
<td>Barnes, Peter R.</td>
<td>UKIP</td>
<td>1,231</td>
</tr>
<tr>
<td>Armstrong, Judith E. Ms.</td>
<td>LAB</td>
<td>1,073</td>
<td>Munday, Kenneth L.</td>
<td>UKIP</td>
<td>1,049</td>
</tr>
<tr>
<td>Clayton, Martyn L.</td>
<td>UKIP</td>
<td>1,009</td>
<td>Harris, Susan K. Ms.</td>
<td>LAB</td>
<td>947</td>
</tr>
<tr>
<td>Horrigan, Ian</td>
<td>LAB</td>
<td>999</td>
<td>Clary, Colin P.</td>
<td>LAB</td>
<td>940</td>
</tr>
<tr>
<td>Wilson, Janet A. Ms.</td>
<td>CRE</td>
<td>775</td>
<td>Redden, Richard H.</td>
<td>LAB</td>
<td>859</td>
</tr>
<tr>
<td>Furniss, Peter R.</td>
<td>LD</td>
<td>471</td>
<td>Hill, Thomas S. J.</td>
<td>CRE</td>
<td>601</td>
</tr>
<tr>
<td>Pike, David C.</td>
<td>LD</td>
<td>451</td>
<td>Beckett, Nicola J. Ms.</td>
<td>LD</td>
<td>461</td>
</tr>
<table border="1">
<thead><tr><th colspan="2">Shortlands Turnout 43.8%</th></tr></thead><tbody><tr><th>No change<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="2">By-elections<br></th></tr></thead><tbody>
<tr>
<th rowspan="2">Shortlands<br>20 October 2011<br>No change<br></th>
<th rowspan="2">Turnout 30.0%</th>
<th colspan="2">Bromley Town<br>03 May 2012<br>No change<br></th>
<th rowspan="2">Turnout 42.8%</th>
<th colspan="2"></th>
<th rowspan="2">Resignation of Macmull, Diana L. Ms. (CON)</th>
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<th rowspan="2">No change<br></table>
<table border='1'>
<tr style='font-size:small;'>
<td style='text-align:left;'>Jefferys, David B. *</td> <span style='color:red;'>CON 1,959 </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span>& <table border='1'>
<tr style='font-size:small;'>
<td style='text-align:left;'>Cooke, Mary F. Ms.</table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/>
<html lang='en'><body style='font-family: Arial; font-size: 16px; line-height: 1.5; margin: 0; padding: 0;'><header style='position: fixed; top: 0; left: 0; width: 100%; height: auto; z-index: 1000; background-color: #f5f5f5;'><nav style='display: flex; justify-content: space-between; align-items: center; padding: 1em;'><h1 style='font-size: 1.5em; font-weight: bold;'>LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 - 36 VOTES - 36 CANDIDATES - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDATE GROUPS - 36 CANDIDO
30
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Camden**
Labour administration
| | | Garden | | |
|---|---|---|---|---|
| 1 | Belsize | 12 | Kensington Town | |
| 2 | Bloomsbury | 13 | Kilburn | |
| 3 | Camden Town with Primrose Hill | 14 | King's Cross | |
| 4 | Canteloves | 15 | Regent's Park | |
| 5 | Fortune Green | 16 | St Pancras and Camden Town | |
| 6 | Frogmore & Fitzjohns | 17 | Swiss Cottage | |
| 7 | Gospel Oak | 18 | West Hampstead | |
| 8 | Hampstead Town | 18 | West Hampstead | |
| 9 | Haverstock | 18 | West Hampstead | |
| 10 | Highgate | 18 | West Hampstead | |
| 11 | Holborn and Covent Garden Town </br> Conservative Labour Labour/Liberal Democrat Labour/Green
<img>A map of Camden showing the electoral wards and their party affiliations.</img>
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>12</td>
<td>40</td>
<td>1</td>
<td>1</td>
<td>54</td>
<td>22.5.14</td>
<td>38.7</td>
<td>21.7</td>
<td>44.4</td>
<td>14.2</td>
<td>19.7</td>
</tr>
<tr>
<td>6.5.10</td>
<td>10</td>
<td>30</td>
<td>13</td>
<td>1</td>
<td>54</td>
<td>6.5.10</td>
<td>59.6</td>
<td>25.7</td>
<td>33.4</td>
<td>29.0</td>
<td>11.9</td>
</tr>
<tr>
<td>4.5.06</td>
<td>14</td>
<td>18</td>
<td>20</td>
<td>2</td>
<td>54</td>
<td>4.5.06</td>
<td>37.5</td>
<td>26.8</td>
<td>39.5</td>
<td>27.3</td>
<td>16.4</td>
</tr>
<tr>
<td>2.5.02</td>
<td>11</td>
<td>35</td>
<td>8</td>
<td>-</td>
<td>54</td>
<td>2.5.02</td>
<td>29.5</td>
<td>25.7</td>
<td>33.7</td>
<td>-</td>
<td>-<br/>17.9<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<br/>-</br>-<hr/></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.98<br/></td></tr><tr><td colspan="11">7.5.<hr/></table>
General statistics
<table>
<thead>
<tr>
<th>Electorate</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London</th>
<th>Camden London)</table>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>31</page_number>
% share of the poll
<table>
<thead>
<tr>
<td></td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td>Camden</td>
</tr>
</thead>
<tbody>
<tr>
<td>Belsize</td>
<td>22.5.14<br>6.5.10</td>
<td>38.3<br>62.3</td>
<td>35.2<br>36.9</td>
<td>25.2<br>20.1</td>
<td>25.2<br>34.3</td>
<td>8.2<br>7.0</td>
<td>--<br>1.7</td>
<td>--<br>8.4</td>
<td>--<br>6.2</td>
<td>--<br>--</td>
<td></td>
</tr>
<tr>
<td>Bloomsbury</td>
<td>22.5.14<br>6.5.10</td>
<td>33.1<br>53.8</td>
<td>20.9<br>27.6</td>
<td>48.6<br>38.1</td>
<td>7.2<br>22.3</td>
<td>14.8<br>12.0</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td></td>
</tr>
<tr>
<td>Camden Town with Primrose Hill</td>
<td>22.5.14<br>3.5.12<br>6.5.10</td>
<td>38.1<br>44.6<br>63.3</td>
<td>17.6<br>20.8<br>21.1</td>
<td>49.6<br>46.6<br>35.8</td>
<td>8.3<br>18.9<br>30.2</td>
<td>16.3<br>11.3<br>10.5</td>
<td>--<br>--<br>--</td>
<td>--<br>--<br>--</td>
<td><strong>8.3</strong><br><strong>-<br>-<br>-</strong></td>
<td>--<br>--<br>--</td>
<td></td>
</tr>
<tr>
<td>Cantelowes</td>
<td>22.5.14<br>6.5.10</td>
<td>40.6<br>60.8</td>
<td>10.6<br>13.5</td>
<td>57.6<br>39.1</td>
<td>14.0<br>34.2</td>
<td><strong>17.8</strong><br><strong>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-)<strong></strong></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="7">Frognal and Fitzjohns (Conservative)</th><th colspan="7">Hampstead Town (Labour)</th><th colspan="7">Haverstock (Liberal Democrats)</th><th colspan="7">Highgate (Conservative)</th><th colspan="7">Holborn and Covent Garden (Labour)</th><th colspan="7">Kentish Town (Labour)</th><th colspan="7">Kilburn (Labour)</th><th colspan="7">King's Cross (Labour)</th><th colspan="7">Regent's Park (Labour)</th><th colspan="7">St Pancras and Somers Town (Labour)</th><th colspan="7">Swiss Cottage (Labour)</th><th colspan="7">West Hampstead (Labour)</th><th colspan="7">Westminster City Council (Labour)</th><th colspan="7">Westminster District Council (Labour)</th><th colspan="7">Westminster North (Labour)</th><th colspan="7">Westminster South (Labour)</th><th colspan="7">Wimbledon (Labour)</th><th colspan="7">Wimbledon North (Labour)</th><th colspan="7">Wimbledon South (Labour)</th><th colspan="7">Wimbledon West (Labour)</th><th colspan="7">Willesden and Fulham North (Labour)</th><th colspan="7">Willesden and Fulham South (Labour)</th><th colspan="7">Willesden Green (Labour)</th><th colspan="7">Willesden North (Labour)</th><th colspan="7">Willesden South (Labour)</th><th colspan="7">Willesden West (Labour)</th><th colspan="7">Wimbledon East (Labour)</th><th colspan="7">Wimbledon Central (Labour)</th><th colspan="7">Wimbledon East and West (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><th colspan="7">Wimbledon Central and South West (Labour)</th><th colspan="7">Wimbledon Central and South East (Labour)</th><tbody style="border-top: double black;">
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<page_number>32</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Results**
**Camden**
| Belsize | Turnout 38.3% | Cantelowes | Turnout 40.6% |
|---|---|---|---|
| **1 CON gain from LD** | | | |
| Bucknell, Jonny* | CON | 1,219 | Beales, Danny | LAB | 2,002 |
| Leyland, Claire-Louise Ms.* | CON | 1,157 | Jones, Phil* | LAB | 1,966 |
| Roy, Leila Ms. | CON | 1,016 | Mason, Angela Ms. * | LAB | 1,899 |
| Tom, Simon | LD | 992 | Braithwaite, Paul N.* | LD | 725 |
| Jennings, Madeleine Ms. | LAB | 939 | Bury, Fran Ms. | GRE | 639 |
| Mcgowan, James | LAB | 782 | Firman, Fiona A. Ms. | GRE | 632 |
| Hillier-Smith, Bradley | LD | 760 | Green, Victoria Ms. | GRE | 546 |
| Rashid, Harunur | LAB | 709 | Gardner, Robyn | CON | 375 |
| Nicholson, Lawrence J. | LD | 678 | Ricketts, Robert A. | CON | 361 |
| Clair, Rowan S. | CRE | 275 | Jackson-Roberts, Margaret Ms. | LD | 355 |
| Murphy, Darren R. | CRE | 269 | Timmins, Will | CON | 346 |
| Taylor, Stuart T. | CRE | 243 | Jones, Catherine F. J. S. Ms. | LD | 344 |
| Rumble, Nigel | IND | 199 |
**Bloomsbury**
No change
Harrison, Adam D. K.* LAB 1,295
Francis, Sabrina Ms. LAB 1,271
Madlani, Rishi LAB 1,226
Barnes, Timothy CON 608
Keep, Andrew CON 536
Macken, Sarah Ms. CON 489
Searle, Dee Ms. GRE 419
Gage, Samuel W. GRE 396
Tufail, Shana GRE 341
Game, Giles UKIP 219
De Malet, Aimery LD 212
Baig, Hammad LD 185
Grossman, Stanley LD 167
**Camden Town with Primrose Hill**
1 LAB gain from LD
Callaghan, Pat* LAB 2,005
Pietragnoli, Lazzaro* LAB 1,608
Cotton, Richard LAB 1,542
Manley, Rory CON 655
Hart, Nicola Ms. GRE 641
Kassapis, Chris CON 609
Rosenbaum, Daniel A. CRE 601
Merrin, Richard J. CON 567
Velde, Ben V. D. CRE 455
Hoyle, Sarah Ms. LD 309
Blake, Junior LD 295
Cowan, Phil IND 287
Hira, Mukul LD 255
**Fortune Green**
Turnout 33.9%
Rea, Flick Ms.* LAB 1,151
Russell, Lorna Ms.* LAB 1,028
Olszewski, Richard LAB 967
Jirina; Nancy Ms.* LD 950
Turner; Phili LAB 904
Cohen; Ian CON 893
Russell; Nick LD 865
Parkinson; Andrew J. CON 739
Smith; Tom CON 686
Mars; Leila Ms. GRE 403
Jimenez; Juan GRE 326
Oldfield; Lucy Ms. GRE 318
**Frognal and Fitzjohns**
No change
Ballie; Siobhan Ms.* CON 1,497
Mennear; Andrew* CON 1,428
Spinella; Gio* CON 1,352
Boardman; Jack LAB 606
Salmon; Richard LAB 512
Khatun; Mazida LAB 481
Harris; Charles H. GRE 411
Ross; Edward S. GRE 363
West; Stephen E. GRE 312
Bouchier; David I. LD 294
Ward; Anne Ms. LD 284
Wagner; Erich LD 187
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>33</page_number>
**Camden**
<table>
<thead>
<tr>
<th>Gospel Oak<br>No change</th>
<th>Turnout 40.7%</th>
<th>Highgate<br>No change</th>
<th>Turnout 50.0%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Blackwell, Theo*<br>Mccormack, Maeve Ms.*<br>Revah, Larraine Ms.*</td>
<td>LAB 1,687<br>LAB 1,590<br>LAB 1,554</td>
<td>Gimson, Sally Ms.<br>Lewis, Oliver<br>Berry, Sian Ms.</td>
<td>LAB 1,739<br>LAB 1,664<br>GRE 1,642</td>
</tr>
<tr>
<td>Adams, Steve<br>Horne, Peter J.</td>
<td>CON 634<br>CON 551</td>
<td>Leach, Valerie Ms.<br>Johnston, Matthew</td>
<td>LAB 1,567<br>GRE 1,252</td>
</tr>
<tr>
<td>Walby, Jane K. Ms.</td>
<td>GRE 549</td>
<td>Mccracken, Robert<br>Charlesworth, Beth Ms.</td>
<td>GRE 1,099</td>
</tr>
<tr>
<td>Buhayer, Constantine</td>
<td>GRE 527</td>
<td></td>
<td>CON 763</td>
</tr>
<tr>
<td>Singh, Sangita</td>
<td>CON 456</td>
<td>Blair, Will<br>Dilnott-Cooper, Will</td>
<td>CON 727<br>CON 662</td>
</tr>
<tr>
<td>Marshall, James R.</td>
<td>GRE 429</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Leavers, Barry<br>Hughes, Roger<br>Noel, Laura F. Ms.<br>Sefton, Kevin S.</td>
<td>UKIP 361<br>LD 248<br>LD 245<br>LD 158</td>
<td>Potts, Henry<br>Hay, Martin C.<br>Wright, Martin</td>
<td>LD 232<br>LD 198<br>LD 130</td>
</tr>
<tr>
<td>Reid, John</td>
<td>TUSC 110</td>
<td>Holborn and Covent Garden No change</td>
<td></td>
</tr>
<tr>
<td>Hampstead Town<br>1 CON gain from LD</td>
<td></td>
<td>Fulbrook, Julian*<br>Vincent, Sue Ms.*<br>Olad, Awale*</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Total Turnout: **35.5%**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**<br>Total Turnout: **No change**
</tr>
<table border="1">
<thead>
<tr style="background-color:#e6e6e6;">
<th>Marcus, Simon*</th>
<th style="text-align:center;">CON 1,465</th>
<th style="text-align:center;">Olad, Awale*</th>
<th style="text-align:center;">LAB 1,588</th>
<th style="text-align:center;">Fulbrook, Julian*</th>
<th style="text-align:center;">LAB 1,714</th>
<th style="text-align:center;">Vincent, Sue Ms.*</th>
<th style="text-align:center;">LAB 1,588</th>
<th style="text-align:center;">Frost, Alison Ms.</th>
<th style="text-align:center;">CON 635</th>
<th style="text-align:center;">Barber, Lewis</th>
<th style="text-align:center;">CON 601</th>
<th style="text-align:center;">Nesbitt, Daniel</th>
<th style="text-align:center;">CON 576</th>
<th style="text-align:center;">Brain, Niki Ms.</th>
<th style="text-align:center;">GRE 480</th>
<th style="text-align:center;">Mullen, Eve Ms.</th>
<th style="text-align:center;">GRE 458</th>
<th style="text-align:center;">Quinn, Anthony</th>
<th style="text-align:center;">GRE 357</th>
<th style="text-align:center;">Allen, Jeremy R.</th>
<th style="text-align:center;">LD 222</th>
<th style="text-align:center;">Simmons, David</th>
<th style="text-align:center;">LD 196</th><th style="text-align:center;">Wright, Ken</th><th style="text-align:center;">LD 181</th><th style="text-align:center;">Carlyle, Robert</th><th style="text-align:center;">IND 162</th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></th><th style="text-align:center;"></table>
<table border="1">
<thead>
<tr style="background-color:#e6e6e6;">
<th>Carruthers, Robert<br>Dix, Sophie E. C.</table>
<table border="1">
<thead>
<tr>
<th>Haverstock<br>3 LAB gains from LD
Kelly, Alison Ms.<br>
Quadir, Abdul
Wood, Abi Ms.
Fraser, Jill Ms.*
Sanders, Matt*
Bokhteh, Rahel M.*
Collins, Charlotte S. Ms.
Sapietis, Una Ms.
Lopez-Turner, Andre
Daughton, Stephen
Davidson, Nathan
Cooke, Christopher
Ricketts, Carole Ms.
<table border='1'>
<thead>
<tr>
<th colspan='3'>Kentish Town No change
Headlam-Wells, Jenny Ms.*
Gould, Georgia Ms.*
Apak, Meric*
Parker Jack S.
Owainehy Alaa
Houghton George
Bartlett Doreen Ms.
Davies Darryl J.
Barton Paul
Dixey Judy Ms.
Ali Omar
Spencer Maxime Ms.
Francisco Valdir
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,992
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout 40.8%
LAB 2,165
LAB 2,076
LAB 1,
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan='3'>Turnout
<table border='1'>
<thead>
<tr>
<th colspan '
<page_number>34</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Camden**
<table>
<thead>
<tr>
<td>Kilburn<br>No change</td>
<td>Turnout 38.3%</td>
<td>St. Pancras and Somers Town<br>No change</td>
<td>Turnout 38.6%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Beattie, Douglas<br>Eslamdoust, Maryam Ms. *</td>
<td>LAB<br>1,661</td>
<td>Robinson, Roger*</td>
<td>LAB<br>2,511</td>
</tr>
<tr>
<td>Gardiner, Thomas*</td>
<td>LAB<br>1,543</td>
<td>Brayshaw, Peter*</td>
<td>LAB<br>2,488</td>
</tr>
<tr>
<td>King, James<br>Grauberg, Janet Ms.</td>
<td>LD<br>883</td>
<td>Khatoun, Samata*</td>
<td>LAB<br>2,423</td>
</tr>
<tr>
<td>Holroyde, Jack<br>Vose, Nick</td>
<td>LD<br>746</td>
<td>Mifford, Matty<br>Widdowson, James<br>Shah, Koonal K.</td>
<td>GRE<br>562<br>526<br>440</td>
</tr>
<tr>
<td>Wainwright, Tim<br>Astor, Sarah Ms.</td>
<td>CON<br>411</td>
<td>Culligan, Rob<br>Rice, Brian</td>
<td>CON<br>368</td>
</tr>
<tr>
<td>Whitehead, John<br>Hayman, Sheila Ms.</td>
<td>GRE<br>402</td>
<td>Tarofdar, Abdul H.<br>Miller, Elliot</td>
<td>CON<br>351<br>295</td>
</tr>
<tr>
<td>Bourn, Richard D.</td>
<td>CON<br>357</td>
<td>Adejopong, Nana O.</td>
<td>LD<br>245</td>
</tr>
<tr>
<td></td>
<td></td>
<td>Sykes, Nicole Ms.</td>
<td>LD<br>192</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead>
<tr><th colspan="2">King's Cross<br>No change</th><th colspan="2">Swiss Cottage<br>No change</th><th colspan="2">Turnout 34.7%</th></tr>
<tr><th></th><th>Turnout 34.5%</th><th></th><th></th><th></th><th></th></tr>
</thead>
<tbody>
<tr><td>Hayward, Sarah Ms.</td><td style="text-align: right;">LAB 1,467</td><td style="text-align: right;">Marshall, Andrew*</td><td style="text-align: right;">CON 1,340</td><td></td><td></td></tr>
<tr><td>Simpson, Jonathan</td><td style="text-align: right;">LAB 1,424</td><td style="text-align: right;">Freeman, Roger*</td><td style="text-align: right;">CON 1,294</td><td></td><td></td></tr>
<tr><td>Hai, Abdul</td><td style="text-align: right;">LAB 1,333</td><td style="text-align: right;">Williams, Don *</td><td style="text-align: right;">CON 1,221</td><td></td><td></td></tr>
<tr><td>Gascoigne, Brian</td><td style="text-align: right;">GRE 550</td><td>Nunn, Ben</td><td style="text-align: right;">LAB 1,029</td><td></td><td></td></tr>
<tr><td>Kendrick, Dominic</td><td style="text-align: right;">GRE 459</td><td>Pearson, Simon</td><td style="text-align: right;">LAB 1,008</td><td></td><td></td></tr>
<tr><td>Sullivan, Lewis</td><td style="text-align: right;">GRE 446</td><td>Reynolds, Gretel</td><td style="text-align: right;">LAB 960</td><td></td><td></td></tr>
<tr><td>Lester, Adam</td><td style="text-align: right;">CON 431</td><td>Franklin, Tom</td><td style="text-align: right;">GRE 433</td><td></td><td></td></tr>
<tr><td>Massow, Ivan J.</ td><br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>() )&nb...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>35</page_number>
**By-elections**
<table>
<thead>
<tr>
<td>Frognal and Fitzjohns<br>22 July 2010</td>
<td>Turnout 20.0%</td>
<td>Camden Town with Primrose Hill<br>03 May 2012</td>
<td>Turnout 44.6%</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">No change<br>No change</td>
</tr>
<tr>
<td><strong>Spinella, Gio</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,061</strong></td>
<td><strong>Pietragnoli, Lazzaro</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,847</strong></td>
</tr>
<tr>
<td>Boucher, David</td>
<td>LD</td>
<td>329</td>
<td>Rumble, Nigel</td>
<td>CON</td>
<td>823</td>
</tr>
<tr>
<td>Smith, Jack</td>
<td>LAB</td>
<td>235</td>
<td>Richards, Chris</td>
<td>LD</td>
<td>748</td>
</tr>
<tr>
<td>Harris, Charles</td>
<td>GRE</td>
<td>71</td>
<td>Lyons, Peter</td>
<td>GRE</td>
<td>450</td>
</tr>
<tr>
<td colspan="4"><strong>Death of Davies, Martin J. (CON)</strong></td>
<td>Gardner, Joe</td>
<td>IND</td>
<td>98</td>
</tr>
<tr>
<td colspan="4"></td>
<td colspan="3"><em>Resignation of Neumark, Thomas (LAB)</em></td>
</tr>
<table>
<thead>
<tr>
<th>Kentish Town<br>28 October 2010</th>
<th>No change</th>
<th>Hampstead Town<br>27 September 2012</th>
<th>Turnout 29.6%</th>
</tr>
</thead>
<tbody>
<tr>
<th><strong>Headlam-Wells, Jenny Ms.</strong></th>
<th><strong>LAB</strong></th>
<th><strong>1,411</strong></th>
<th><em>No change</em></th>
</tr>
<tr>
<th>Russell, Nick<br>Aptowitzer, Naomi Ms.</th>
<th>LD<br>CRE</th>
<th>715<br>349</th>
<th><strong>Marcus, Simon</strong></th>
<th><strong>CON</strong></th>
<th><strong>1,040</strong></th>
</tr>
<tr>
<th>Blair, Will<br><em>Death of Horan, Dove (LAB)</em></th>
<th>CON</th>
<th>186</th>
<th>Fine, Jeffrey<br>Raman, Maddy Ms.</th>
<th>LD<br>LAB</th>
<th>695<br>512</th>
</tr>
<tr style="border-top: none;">
<td colspan="4" style="border-top: none;"></td>
<td>Dix, Sophie Ms.</th>
<th style="text-align: right;">GRE<br style="text-align: right;">207
<tr style="border-top: none;">
<td colspan="4" style="border-top: none;"></td>
<td colspan="3"><em style="font-style: italic;">Resignation of Roberts, Kirsty Ms. (CON)</em></table>
<table>
<thead>
<tr>
<th>Highbgate<br>15 September 2011<br>No change
<table>
<thead>
<tr>
<th>Gimson, Sally Ms.</th>
<th>LAB
<table>
<thead>
<tr>
<th style="text-align: center;">Turnout 34.3%</th>
<th style="text-align: center;">Gospel Oak<br style="text-align: center;">14 March 2013<br style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">Turnout 27.2%</th>
<th style="text-align: center;">McCornack, Maeve Ms.
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table>
<thead>
<tr>
<th style="text-align: center;">No change
<table">
<thead">
<tr">
<th style="text-align: center;"><em style="font-style: italic;">Resignation of Birch, Sean (LAB)</em></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></div><div class='image'><img>A map showing the electoral wards of London Borough Council elections in May 2014.</img><div class='caption'>A map showing the electoral wards of London Borough Council elections in May 2014.</div><div class='description'>A map showing the electoral wards of London Borough Council elections in May 2014.</div><div class='credit'></div><div class='source'></div><div class='tags'></div><div class='notes'></div><div class='comments'></div><div class='links'></div><div class='metadata'><ul><li><span class='label'>Subject:</span>Elections - Local Government - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May - London Borough Council Elections - May
<span class='value'>Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Government > Local Gover
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span=""></span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<span>[]<br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></b
36 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Croydon**
Labour administration
<img>
A map of Croydon showing the constituencies and their party affiliations.
The map is divided into 18 districts, each with a number indicating its constituency.
Districts are coloured either blue (Conservative) or red (Labour).
The numbers on the map represent the constituency names:
- 1 Addiscombe
- 2 Ashburton
- 3 Bensham Manor
- 4 Broad Green
- 5 Coulson East
- 6 Coulson West
- 7 Croham
- 8 Fairfield
- 9 Fieldway
- 10 Heathfield
- 11 Kenley
- 12 New Addington
</img>
Conservative Labour
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>30</td>
<td>40</td>
<td>-</td>
<td>-</td>
<td>70</td>
<td>22.5.14</td>
<td>38.6</td>
<td>33.4</td>
<td>36.0</td>
<td>5.5</td>
<td>25.1</td>
</tr>
<tr>
<td>6.5.10</td>
<td>37</td>
<td>33</td>
<td>-</td>
<td>-</td>
<td>70</td>
<td>6.5.10</td>
<td>63.8</td>
<td>36.8</td>
<td>31.9</td>
<td>18.7</td>
<td>12.7</td>
</tr>
<tr>
<td>4.5.06</td>
<td>43</td>
<td>27</td>
<td>-</td>
<td>-</td>
<td>70</td>
<td>4.5.06</td>
<td>40.4</td>
<td>44.7</td>
<td>25.6</td>
<td>13.3</td>
<td>16.4</td>
</tr>
<tr>
<td>2.5.02</td>
<td>32</td>
<td>37</td>
<td>-</td>
<td>-</td>
<td>70</td>
<td>2.5.02</td>
<td>34.5</td>
<td>45.4</td>
<td>37.9</td>
<td>12.1</td>
<td>4.7</td>
</tr>
<tr>
<td>7.5.98</td>
<td>31</td>
<td>38</td>
<td>-</td>
<td>-</td>
<td>70</td>
<td>7.5.98</td>
<td>37.8</td>
<td>47.5</td>
<td>38.2</td>
<td>12.1</td>
<td>2.2</td>
</tr>
<tr>
<td>5.5.94</td>
<td>30</td>
<td>40</td>
<td>-</td>
<td>-</td>
<td>70</td>
<td>5.5.94</td>
<td>46.5</td>
<td>49.8</td>
<td>12.7</td>
<td>3.2</td><br/>
<td></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br><table cellspacing="0" cellpadding="0"><tbody><tr><th colspan="1"></th><th colspan="2">% share of the poll, 1964-2014<br/></th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</th><th colspan="2">%</eth/></table>
General statistics
<table cellspacing="0" cellpadding="0">
<tbody>
<tr>
<th>Electorate<br/>May 2014<br/>May 2010<br/></th>
<th>Croydon<br/>May 2014<br/>May 2010<br/></th>
<th>London<br/>May 2014<br/>May 2010<br/></th>
<tr>
<th>Electorate<br/>May 2014<br/>May 2010<br/></th>
<th>Croydon<br/>May 2014<br/>May 2010<br/></th>
<th>London<br/>May 2014<br/>May 2010<br/></strong>
<tr>
<th>Electorate<br/>Mid 2014<br/>Mid 2010<br/></strong>
<th>Croydon<br/>Mid 2014<br/>Mid 2010<br/></strong>
<th>London<br/>Mid 2014<br/>Mid 2010<br/></strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<tr>
<th>Electorate % unemployed<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>Croydon<br/>Mid 2014/<strong>/ Mid 2010/ </strong>
<th>London<br/>Mid 2014/<strong>/ Mid 201
<table cellspacing="">
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr>
<th>Band 'D' council tax
<table cellspacing="" cellpadding="">
<tbody>
<tr:
```json
[
{
"district": "Addiscombe",
"party": "LAB"
},
{
"district": "Ashburton",
"party": "LAB"
},
{
"district": "Bensham Manor",
"party": "LAB"
},
{
"district": "Broad Green",
"party": "LAB"
},
{
"district": "Coulson East",
"party": "LAB"
},
{
"district": "Coulson West",
"party": "LAB"
},
{
"district": "Croham",
"party": "LAB"
},
{
"district": "Fairfield",
"party": "LAB"
},
{
"district": "Fieldway",
"party": "LAB"
},
{
"district": "Heathfield",
"party": "LAB"
},
{
"district": "Kenley",
"party": "LAB"
},
{
"district": "New Addington",
"party": "LAB"
}
]
```
```json
[
{
"district": "Norbury",
"party": "CON"
},
{
"district": "Purley",
"party": "CON"
},
{
"district": "Sandhurst",
"party": "CON"
},
{
"district": "Selhurst",
"party": "CON"
},
{
"district": "Selsdon and Ballards",
"party": "CON"
},
{
"district": "Shirley",
"party": "CON"
},
{
"district": "South Norwood",
"party": "CON"
},
{
"district": "Thornton Heath",
"party": "CON"
},
{
"district": "Upper Norwood",
"party": "CON"
},
{
"district": "Waddon",
"party": "CON"
},
{
"district": "West Thornton",
"party": "CON"
},
{
"district": "<NAME>",
"party": "<NAME>"
}
]
```
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>37</page_number>
**% share of the poll**
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
<th>Croydon</th>
</tr>
</thead>
<tbody>
<tr>
<td>Addiscombe</td>
<td>22.5.14<br>6.5.10</td>
<td>42.4<br>62.9</td>
<td>33.3<br>32.0</td>
<td>41.0<br>38.4</td>
<td>4.1<br>19.9</td>
<td>8.4<br>5.4</td>
<td>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
</tr>
<tr>
<td>Ashburton</td>
<td>22.5.14<br>6.5.10</td>
<td>48.3<br>66.6</td>
<td>35.7<br>38.1</td>
<td>39.2<br>27.1</td>
<td>5.1<br>16.3</td>
<td>5.4<br>6.1</td>
<td>14.6<br>5.3</td>
<td>-- --<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<--<</tr>
<tr>
<td>Bensham Manor</td>
<td>22.5.14<br>6.5.10</td>
<td>31.5<br>60.19</td>
<td>15.8<br>15.9</td>
<td>59.3<br>54.6</td>
<td>3.4<br>16.8</td>
<td>9.2<br>12.7</tr
<tr style="border-top: 1px solid black;">
<td>Broad Green</table>
<table style="border-collapse: collapse;">
<thead style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Fairfield</th>
<th colspan="2">Fieldway</th>
<th colspan="2">Heathfield</th>
<th colspan="2">Kenley</th>
<th colspan="2">New Addington</th>
<th colspan="2">Norbury</th>
<th colspan="2">Purley</th>
<th colspan="2">Sanderstead</th>
<th colspan="2">Selhurst</th>
<th colspan="2">Selsdon and Ballards</th>
<th colspan="2">Shirley</th>
<th colspan="2">South Norwood</th>
<th colspan="2">Thornton Heath</th>
<th colspan="2">Upper Norwood</th>
<th colspan="2">Waddon</th>
<th colspan="2">West Thornton</th><tr style="background-color: #f0f0f0;">
<th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><tr style="background-color: #f0f0f0;">
<th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><tr style="background-color: #f0f0f0;">
<th colspan="2"></table>
<table style="border-collapse: collapse;">
<thead style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th colspan="3" style="">% share of the poll </table>
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe 6.5.10 42.4 62.9 33.3 38.4 41.0 38 5 4 8 4 - 13.2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ashburton 6.5.10 48.3 66.6 35.7 38.1 39.2 38 5 4 8 4 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- Bensham Manor 6.5.10 31.5 60.19 15.8 15.9 59.3 54 6 3 4 7 5 9 9 7 7 7 7 Broad Green 6.5.10 35 48 46 7 18 8 7 7 Coulsdon East West Coulsdon West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<th>Date %poll CON LAB LD GRE BNP UKIP IND REA Others Croydon
Addiscombe Ashburton Bensham Manor Broad Green Coulsdon East West West Croham Fairfield Fieldway Heathfield Kenley New Addington Norbury Purley Sanderstead Selhurst Selsdon and Ballards Shirley South Norwood Thornton Heath Upper Norwood Waddon West Thornton Woodside
<table style="">
<thead style="">
<tr style="">
<page_number>38</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# Results
**Croydon**
<table>
<thead>
<tr>
<th>Addiscombe</th>
<th>Turnout 42.4%</th>
<th>Broad Green</th>
<th>Turnout 35.0%</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>No change</strong></td>
<td></td>
<td><strong>No change</strong></td>
<td></td>
</tr>
<tr>
<td>Fitzsimons, Sean<br>Hay-Justice, Patricia Ms. *</td>
<td>LAB<br>2,165<br>2,027</td>
<td>Collins, Stuart*</td>
<td>LAB<br>2,754<br>2,609</td>
</tr>
<tr>
<td>Watson, Mark L.</td>
<td>LAB<br>1,962</td>
<td>Selvanayagam, Michael S. P.*<br>Shahul-Hameed, Manju*</td>
<td>LAB<br>2,289</td>
</tr>
<tr>
<td>Harms, David L.<br>Terry, Lisa J. Ms.<br>Chatterjee, Partha</td>
<td>CON<br>1,723<br>1,653<br>1,630</td>
<td>Emmanuel, Fabion N. J.<br>Stevenson, Andrew J.<br>Khan, Sophia P. M. Ms.</td>
<td>CON<br>761<br>579<br>535</td>
</tr>
<tr>
<td>Staveley, Peter<br>Anderson, Paul M.<br>Sutton, Esther M. Ms.<br>Hague, Joseph</td>
<td>UKIP<br>659<br>458<br>439<br>362</td>
<td>Kirby, Peter T.<br>Lyker, Ferman A.<br>Barnett, Nicholas S.<br>Mohanan, Bimal</td>
<td>UKIP<br>404<br>395<br>301</td>
</tr>
<tr>
<td>Adams, Christopher<br>Tucker, William D. S.<br>Howard-Jones, Gavin T.</td>
<td>LD<br>266<br>186<br>169</td>
<td>Mohuddin, Syed A.<br>Mcmillan, Paul M.<br>Latham, Peter A. G.</td>
<td>LD<br>265<br>170<br>69</td>
</tr>
<tr>
<td>Ashburton<br><strong>3 LAB gain from CON</strong></td>
<td><strong>Turnout 48.3%</strong></td>
<td><strong>Coulsdon East</strong></td>
<td><strong>Turnout 45.6%</strong></td>
</tr>
<tr>
<td>Henson, Madeleine R. Ms.<br>Mann, Stephen J.</td>
<td>LAB<br>2,110<br>2,085</td>
<td><strong>No change</strong></td>
<td></td>
</tr>
<tr>
<td>Rendle, Andrew J.</td>
<td>LAB<br>1,916</td>
<td><strong>Wright, Christopher*</strong></td>
<td><strong>CON</strong><br><em>Coulsdon East</em></td>
<td><em>Coulsdon East</em><br><strong>2,294</strong></td>
</tr>
<tr>
<td>Macdonald, Sylvia Ms.</td>
<td>CON<br>1,908</td>
<td>Bird, Margaret Ms.</td>
<td><em>Coulsdon East</em><br><strong>CON</strong></td>
<td><em>Coulsdon East</em><br><strong>2,230</strong></td>
</tr>
<tr>
<td>Kellett, Adam*</td>
<td>CON<br>1,848</td>
<td><strong>Thompson, James</strong></td>
<td><em>Coulsdon East</em><br><strong>CON</strong></td>
<td><em>Coulsdon East</em><br><strong>1,864</strong></td>
</tr>
<tr>
<td>Straeter, Gareth B.</td>
<td>CON<br>1,815</td>
<td>Smith, Alan</td>
<td><em>Coulsdon East</em><br><strong>UKIP</strong></td>
<td><em>Coulsdon East</em><br><strong>968</strong></td>
</tr>
<tr>
<td>Aston, David J. L.</td>
<td>UKIP<br>788</td>
<td>Hickson, Ghislaine C. Ms.</td>
<td><em>Coulsdon East</em><br><strong>LD</strong></td>
<td><em>Coulsdon East</em><br><strong>696</strong></td>
</tr>
<tr>
<td>Ball, Robert<br>King, Robert<br>Golberg, Bernice C. Ms.<br>Adams, Susan Ms.</td>
<td>UKIP<br>779<br>705<br>LADGMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBMSBSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMSSMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEMMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEMSEEEM SEEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEEMSMEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMSBEBEAMEMBABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABA 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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>39</page_number>
<table>
<thead>
<tr>
<td>Coulson West<br>No change</td>
<td>Turnout 38.6%</td>
<td>Fieldway<br>No change</td>
<td>Turnout 33.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Clancy, Luke S.<br>Bains, Jitinder S. *<br>Creatura, Mario</td>
<td>CON<br>2,039<br>2,032<br>1,807</td>
<td>Bonner, Carole M. Ms. *<br>Hall, Simon A.*<br>Eastoe, William J.</td>
<td>LAB<br>1,132<br>1,104<br>686</td>
</tr>
<tr>
<td>Fullilove, Danny L.<br>Ogilvy, Catriona E. Ms.</td>
<td>UKIP<br>896</td>
<td>Castle, Michael<br>Laville, Jayne K. Ms.</td>
<td>CON<br>471</td>
</tr>
<tr>
<td>Black, Stephen R.<br>King, Charles</td>
<td>LAB<br>802</td>
<td>Clarke, John J.<br>Clarke, David R.</td>
<td>CON<br>314<br>212</td>
</tr>
<tr>
<td>Parsons, Susan B. Ms.<br>Conn, Frances M. Ms.</td>
<td>LAB<br>776</td>
<td>Groves, Jack R. C.</td>
<td>BNP<br>210</td>
</tr>
<tr>
<td>Earl, Judith A. G. Ms.<br>Skipper, Ruud B.</td>
<td>GRE<br>240</td>
<td>Gale, Eileen D. Ms.</td>
<td>GRE<br>130<br>102</td>
</tr>
<tr>
<td>George, Kenneth R.<br>Watson, Timothy</td>
<td>LD<br>511</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Croham<br>No change</td>
<td></td>
<td>Mead, Margaret V. Ms. *</td>
<td></td>
</tr>
<tr>
<td>Gatland, Maria R. Ms. *</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><td></table><table><tbody><tr><th>Crowdon</th><th colspan="2">Heathfield Turnout 42.0%</th></tr><tr><th rowspan="2">Neal, Michael A. *</th><th>CUMMINGS, Jason*</th><th rowspan="2">CON CON</th></tr><tr><th colspan="2"></th></tr><tr><th>Perry, Jason S.</th><th></th><th></th></tr><tr><th></th><th></th><th></th></tr><tr><th></th><th></th><th></th></tr><tr><th></th><th></th><th></th></tr><tr><th></th><th></th><th></th></tr><tr><th>Claark Christopher R.</th><th>LAB</th><th>Elliott Robert E.</th></tr><tr><th></th><th>LAB</th><th>Halai-Carter Yasin Ms.</th></tr><tr><th></th><th>LAB</th><th>Bennett Andrew</th></tr><tr><th>Raid, Claudine Ms.</th><th>LAB</th><th>Bennett Andrew</th></tr><tr><th>Garnier, Kathleen Ms.</th><th>UKIP</th><th>Collard Michael J.</th></tr><tr><th>Bishop, Michael T. A.</th><th>LD</th><th>Haworth Christopher W.</th></tr><tr><th>Hague, Tracey J. Ms.</th><table><tbody><tr><thead style="text-align:center;"><tr><thead style="text-align:center;">No change</thead></tr></thead><tbody style="text-align:center;"><tr class="header_odd"><td style="text-align:left;">GRE</table></tr></tbody></table></tr><tr><table id='table_0'><thead id='table_0_header'><tr id='table_0_header_row'><thead id='table_0_header_column_0'>Colspan=1 align=center valign=top>No change<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>Crowdon<colspan=3 align=center valign=top>colums/></thead></tbody></table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan='4' style='text-align:center;'>Crowton No change Turnout 42.0%</table>
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<td colspan 'style=text-align:center'>No change
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</tbody cellspacing="1" border="1">
</tbody cellspacing="1" border="1">
</tbody cellspacing="1" border="1">
</tbody cellspacing="1" border "style=text-align:left">No change
<table cellspacing="" cellpadding="" border="">
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Croydon
<table>
<thead>
<tr>
<td>New Addington<br>1 LAB gain from CON</td>
<td>Turnout 39.0%</td>
<td>Sanderstead</td>
<td>Turnout 44.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Lewis, Oliver</td>
<td>LAB<br>1,244</td>
<td>No change<br>Hale, Lynne C. Ms.*<br>Hopley, Yvette R. Ms.*</td>
<td>CON<br>2,691<br>2,545</td>
</tr>
<tr>
<td>Woodley, Louisa P. Ms.</td>
<td>LAB<br>1,094</td>
<td>Pollard, Timothy S.*</td>
<td>CON<br>2,463</td>
</tr>
<tr>
<td>Christensen, Clive C.</td>
<td>UKIP<br>740</td>
<td>Smith, Claire Ms.</td>
<td>UKIP<br>891</td>
</tr>
<tr>
<td>Pearson, Anthony*</td>
<td>CON<br>650</td>
<td>Hill, Mathew D.</td>
<td>LAB<br>570</td>
</tr>
<tr>
<td>Johnson, Christopher</td>
<td>UKIP<br>639</td>
<td>Lovesey, Thomas S. F.</td>
<td>LAB<br>540</td>
</tr>
<tr>
<td>Fish, Lara L. Ms.</td>
<td>CON<br>617</td>
<td>Nabukeera, Stella Ms.</td>
<td>LAB<br>491</td>
</tr>
<tr>
<td>Le May, Clifford J.</td>
<td>BNP<br>168</td>
<td>Bindman, Diane Ms.</td>
<td>GRE<br>422</td>
</tr>
<tr>
<td>Cousins, Martin A.</td>
<td>GRE<br>123</td>
<td>Harris, Stephen</td>
<td>GRE<br>316</td>
</tr>
<tr>
<td>Clugston, James P.</td>
<td>GRE<br>107</td>
<td>Richards, Marc</td>
<td>GRE<br>295</td>
</tr>
<tr>
<td>Treanor, Donna M. Ms.</td>
<td>BNP<br>80</td>
<td>Hesmondhalgh, Thomas<br>Moran, Elizabeth M. Ms.<br>Kynes, Toby W.</td>
<td>LD<br>266<br>242<br>208</td>
</tr>
<table border="1">
<thead><tr><th colspan="3">Norbury No change Turnout 35.5%</th></tr></thead><tbody><tr><th>Mansell, Magaret R. Ms.*<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="3">Chowdhury, Sherwan H.* LAB 2,227 Selhurst Turnout 30.9%</th></tr></thead><tbody><tr><th>Khan, Shafi* LAB 2,134 No change Godfrey, Timothy* LAB 2,086 LAB 2,079 LAB 1,996</th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="3">Gunter, Tiren A. H. Ms. CON 1,045 Letts, Toni E. Ms.* CON 546 CON 515 CON 504 CON 471 UKIP 396</th></tr></thead><tbody><tr><th>Singh, Gurmit CON 982 Brundle, Madeleine T. Ms. Bowness, Marianne Ms. Brundle, Richard F. Ryan, Michael G.* UKIP 504 UKIP 471 UKIP 396</th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="3">Flock, Benjamin T. E. CON 945 Skwarczynski Skupka Skwarczynski UKIP 356 Schofield, Dominic J. Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bowness Bownness Blaer Jenefer C. Ms. Benzerl Meike M.</th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="3">Hunte, Rachel A. Ms. GRE 422 Purley Turnout 38.9% Gre 321 Gre 305 Gre 220 Gre 47 No change Eden, John COMB 77 TUSC 88</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">De Skuba Skwarczynski Skupka Skwarczynski UKIP 356 Schofield Dominic J. Parke-Blair Jenefer C. Ms. Benzler Meike M.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Norheidt, Marie Ms. GRE 312 Gre 305 Gre 269 Gre 267 Corbin Joanna C. Ms. Wentworth-Shaw Edward LD 240 IND 128 Haven Elenor J.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Viney, Anne D. Ms. IND 47 Purley No change Eden, John COMB 77 TUSC 88</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Kennedy, Winston D.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Brew, Christopher S.<br>Speakman, Donald S.* CON 2,248 Eden John COMB 77 CON 1,989 Seldson and Ballards Turnout 46.7%</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Quadir, Badsha* CON 1,878 No change Hashford Sara J. Ms.* CON 2,671 CON 2,473 CON 2,380 UKIP 1,051 UKIP 554 LAB 491 LAB 490 GRE 379 GRE 365 Nell Casparus J.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Bagnall Paola K LAB 879 No change Bashford Sara J. Ms.* CON 2,671 CON 2,473 CON 2,380 UKIP 1,051 UKIP 554 LAB 491 LAB 490 GRE 379 GRE 365 Nell Casparus J.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Horah Peter N LAB 842 Chandrababu Vidhyadharan LAB 491 LAB 490 Gre Howard Anne Ms.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Longe Simbait O. LAB 684 Chandrababu Vidhyadharan LAB 491 LAB Gre Howard Anne Ms.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Stinger Laura J. Ms. UKIP 556 Gre Underwood Peter GRE 379 GRE Gre Howard Anne Ms.</th></tr></thead></table>
<table border="1">
<thead><tr><th colspan="3">Guillem Georgina Ms.<hr/>Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre GreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreen Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green 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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>41</page_number>
<table>
<thead>
<tr>
<td>Shirley<br>No change</td>
<td>Turnout 44.1%</td>
<td>Thornton Heath<br>No change</td>
<td>Turnout 32.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bennett, Susan E. Ms.<br>*<br>Chatterjee, Richard R. *<br>Fisher, Michael D. *</td>
<td>CON<br>2,028<br>CON<br>2,009<br>CON<br>1,972</td>
<td>Clouder, Patricia Ms. *<br>Kyeremeh, Matthew Y. A.<br>Jewitt, Karen A. Ms.</td>
<td>LAB<br>2,340<br>LAB<br>2,040<br>LAB<br>2,023</td>
</tr>
<tr>
<td>Nicodemi-Ehikioya, Marzia A.<br>Gill, James A.<br>Otmani, Mohamed S.<br>Bearchell, Andrew J.</td>
<td>LAB<br>1,301<br>LAB<br>1,243<br>LAB<br>1,163<br>UKIP<br>948</td>
<td>Bailey, Nicholas J.<br>Springthorpe, Luke<br>Osland, David J.<br>Ehimm, Emmanuel N.</td>
<td>CON<br>545<br>CON<br>445<br>CON<br>444<br>UKIP<br>392</td>
</tr>
<tr>
<td>Connolly, Eamon P.<br>Bebington, Margaret E. Ms.<br>Harris, Ronald<br>Garrod, Elaine Ms.</td>
<td>UKIP<br>870<br>CRE<br>523<br>GRE<br>470<br>LD<br>294</td>
<td>Gardner, Anne-Michelle Ms.<br>Wade, Christine J. P. Ms.<br>Kenny-Green, Rachel E. M. Ms.<br>Szczeklun, Stefan</td>
<td>GRE<br>336<br>GRE<br>308<br>GRE<br>295</td>
</tr>
<tr>
<td>South Norwood<br>No change</td>
<td><strong>Turnout 36.5%</strong></td>
<td>Morley, Geoffrey<br>Hart, Glen J.</td>
<td><strong>TUSC</strong><br><strong>LD</strong><br><strong>134</strong></td>
</tr>
<tr>
<td>Bee, Kathy Ms. *<br>Avis, Jane Ms. *<br>Lawlor, Wayne J. P. *</td>
<td><strong>LAB</strong><br><strong>2,303</strong></td>
<td><strong>No change</strong></td>
<td><strong>LAB</strong><br><strong>2,211</strong></td>
<td><strong>No change</strong></td>
<td><strong>LAB</strong><br><strong>1,971</strong></td>
<td><strong>No change</strong></td>
<td><strong>LAB</strong><br><strong>TUSC</strong></td>
<td><strong>Turnout 35.5%</strong></td>
</tr>
<tr>
<td>Cope, Jonathan T. E.<br>O'Flynn, Matthew E.<br>St. James, Rosina R. M. Ms.<br>Jones, Graham R. G.</td>
<td>CON<br>909<br>CON<br>739<br>CN<br>731</td>
<td>Ryan, Patrick T. *<br>Flemming, Alisa*<br>Gentworth John P. *</td>
<td>LAB<br><strong>Ryan, Patrick T.*<br>Flemming, Alisa*</strong></td>
<td>LAB<br><strong>LAB</strong></td>
<td>LAB<br><strong>LAB</strong></td>
<td>LAB<br><strong>LAB</strong></td>
<td>LAB<br><strong>LAB</strong></td>
<td>LAB 2,187 LAB 2,007 LAB 1,809 CON 785 CON 755 CON 629 GRE 477 UKIP 450 GRE 449 UKIP 415 UKIP 391 GRE 384 LD 256 LD 154 LD 145</td>
</tr>
<tr>
<td>Ellis, Andrew H.<br>Mckenzie, Winston T.<br>Reid, Annette Ms.<br>Slayford, Barry C.</td>
<td>CRE<br>494<br>GRE<br>486<br>GRE<br>480<br>GRE<br>437</td>
<td>Terrey, Audrey K. Ms.<br>Dawin L.<br>Meneses, Maria L. Ms.<br>Kenny-Green, Leslie W.</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Seyforth, James A.<br>Brown, Robert J.<br>Reid, Kimberley E. S. Ms.<br>Regan, Jonathan D.</td>
<td>GRE<br>Hollamond R.<br>GRE<br>Hollamond R.</td>
<td>Holland, Simon R.<br>Hollamond R.</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="9" style="text-align: center;">Crowdon</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="9" style="text-align: center;"></td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="9" style="text-align: center;"></td>
</tr>
<table style="width:100%; border-collapse: collapse;">
<thead style="border-bottom: 1px solid black; background-color: #f0f0f0;">
<tr style="text-align:center; font-weight:bold;">
<th rowspan="2">Candidate Name (Party)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
<th rowspan="2">Turnout (%) - No Change (if applicable)</th>
<th rowspan="2">Turnout (%) - Change (if applicable)</th>
```html
<table border="1">
<thead style="font-weight:bold;">
<tr style="text-align:center; background-color:#f0f0f0;">
<th>Candidate Name (Party)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
<th style="text-align:left;">No change Turnout (%)<br>(if applicable)</th>
<th style="text-align:right;">Change Turnout (%)<br>(if applicable)</th>
</tr>
</thead>
<tbody>
<!-- Candidate data -->
<!-- Example row -->
<!-- Candidate Name (Party) | Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % | No change Turnout % | Change Turnout % -->
<!-- Add more candidate rows here -->
</tbody>
<tfoot style="font-weight:bold; border-top: 1px solid black; background-color: #f0f0f0;">
<tr style="font-weight:bold; text-align:center; border-top: none; background-color:#f0f0f0;">
<td colspan='16' align='center'>Crowdon</td>
</tr>
</tfoot>
<style type='css'>
table {
border-collapse: collapse;
}
th {
padding: 8px;
text-align: left;
}
td {
padding: 8px;
}
</style>
<script type='javascript'>
// JavaScript code to dynamically generate candidate data
var candidates = [
{ name: 'Bennett', party: 'CON', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Chatterjee', party: 'CON', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Fisher', party: 'CON', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Nicodemi-Ehikioya', party: 'LAB', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Gill', party: 'LAB', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Otmani', party: 'LAB', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Bearchell', party: 'UKIP', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Connolly', party: 'UKIP', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Bebington', party: 'GRE', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Harris', party: 'LD', turnout: 'No change', labour_turnouts: [null] },
{ name: 'Garrod', party: 'GRE', turnout: 'No change', labour_turnouts: [null] },
{ name: 'South Norwood', party: null, turnout: null },
{ name: 'Bee', party: null },
{ name: 'Avis', party: null },
{ name: 'Lawlor', party: null },
{ name: 'Cope', party: null },
{ name: 'O\'Flynn', party: null },
{ name: 'St. James', party: null },
{ name: 'Jones', party: null },
{ name: 'Ellis', party: null },
{ name: 'Mckenzie', party: null },
{ name: 'Reid', party: null },
{ name: 'Slayford', party: null },
{ name: 'Seyforth', party: null },
{ name: 'Brown', party: null },
{ name: 'Reid', party: null },
{ name: 'Regan', party: null }
];
var table = document.createElement('table');
var tbody = document.createElement('tbody');
candidates.forEach(function(candidate) {
var tr = document.createElement('tr');
```
<page_number>42</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<img>Croydon</img>
<table>
<thead>
<tr>
<td></td>
<td>Turnout 41.1%</td>
<td>Woodside No change</td>
<td>Turnout 34.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Waddon</strong><br>3 LAB gain from CON</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><strong>Canning, Robert W.</strong></td>
<td>LAB<br>1,965</td>
<td>Newman, Anthony J.*<br>LAB<br>2,130</td>
<td></td>
</tr>
<tr>
<td><strong>Pelling, Andrew J.</strong></td>
<td>LAB<br>1,937</td>
<td>Scott, Paul W.*<br>LAB<br>2,000</td>
<td></td>
</tr>
<tr>
<td><strong>Prince, Joy I. D. Ms.</strong></td>
<td>LAB<br>1,924</td>
<td>Alli, Hamida<br>LAB<br>1,874</td>
<td></td>
</tr>
<tr>
<td>Harris, Anthony*</td>
<td>CON<br>1,803</td>
<td>Sidwell, Michael A.<br>CON<br>874</td>
<td></td>
</tr>
<tr>
<td>Hoor, Simon J. *</td>
<td>CON<br>1,696</td>
<td>Pollard, Amy L. Ms.<br>CON<br>831</td>
<td></td>
</tr>
<tr>
<td>Johnson, Mark P. A.</td>
<td>CON<br>1,565</td>
<td>Tary, Mustafa O.<br>CON<br>714</td>
<td></td>
</tr>
<tr>
<td>Bailey, Jonathan W.</td>
<td>UKIP<br>585</td>
<td>Nnorom, Ace<br>UKIP<br>522</td>
<td></td>
</tr>
<tr>
<td>Adamson, Kevin</td>
<td>UKIP<br>575</td>
<td>Enebe, Andrew I.<br>GRE<br>493</td>
<td></td>
</tr>
<tr>
<td>Rix, Graham</td>
<td>UKIP<br>537</td>
<td>Trivedi, Clare Ms.<br>GRE<br>426</td>
<td></td>
</tr>
<tr>
<td>Davey, Mary J. Ms.</td>
<td>GRE<br>324</td>
<td>Bokhari, Harris A.<br>GRE<br>395</td>
<td></td>
</tr>
<tr>
<td>Onions, Paula G. Ms.</td>
<td>GRE<br>293</td>
<td>Jefkins, Heather J. Ms.<br>LD<br>206</td>
<td></td>
</tr>
<tr>
<td>Armstrong, Kirsty S. Ms.</td>
<td>LD<br>197</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Post, Martyn</td>
<td>GRE<br>190</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Tavares, Michael J.</td>
<td>LD<br>151</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bhattacharya, Anindya</td>
<td>TUSC<br>71</td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th><strong>No change </strong></th><th><strong>Turnout 33.7%</strong></th><th><strong>Turnout 33.7%</strong></th></tr></thead><tbody><tr><th><strong>Benn, Emily S. W. Ms.</strong></th><th style="text-align: right;">LAB<br style="color: #0000FF;">2,461</th><th style="text-align: right;"></th></tr><tr><th><strong>Khan, Bernadette Ms. *</strong></th><th style="text-align: right;">LAB<br style="color: #0000FF;">2,371</th><th style="text-align: right;"></th></tr><tr><th><strong>King, Stuart T.</strong></th><th style="text-align: right;">LAB<br style="color: #0000FF;">2,243</th><th style="text-align: right;"></th></tr><tr><th colspan="3"><hr/></th></tr><tr><th style="text-align: left;"><strong>Evans, Florence M. Ms.</strong></th><th style="text-align: right;">CON<br style="color: #0000FF;">684</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Dwesar, Samir </strong></th><th style="text-align: right;">CON<br style="color: #0000FF;">650</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Ratnaraja, Patrick </strong></th><th style="text-align: right;">CON<br style="color: #0000FF;">595</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Beall, David T.</strong></th><th style="text-align: right;">GRE<br style="color: #0000FF;">331</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Thomas, William </strong></th><th style="text-align: right;">UKIP<br style="color: #0000FF;">312</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Bissick, Marjorie M. Ms.</strong></th><th style="text-align: right;">UKIP<br style="color: #0000FF;">298</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Buttigieg, Barry P.</strong></th><th style="text-align: right;">GRE<br style="color: #0000FF;">213</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Parnell, Rebecca N. Ms.</strong></th><th style="text-align: right;">GRE<br style="color: #0000FF;">207</th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;"><strong>Knight, Patricia F. L. Ms.</strong></th><th style="text-align: right;">LD<br style="color: #0000FF;">134</th><th style="text-align: right;"></th></tr></tbody></table>
<hr/>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>43</page_number>
**Ealing**
Labour administration
<img>A map of Ealing showing the results of the 2014 London Borough Council elections. The map is divided into electoral wards, each represented by a different coloured shape. The colours are as follows:
- Blue: Conservative
- Red: Labour
- Yellow: Liberal Democrat
- Purple: Conservative/Liberal Democrat
- Green: Labour/Democrat
The ward boundaries are also shown in black.</img>
Conservative
Labour
Liberal Democrat
Conservative/Liberal Democrat
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.514</td>
<td>12</td>
<td>53</td>
<td>4</td>
<td>-</td>
<td>69</td>
<td>22.514</td>
<td>41.2</td>
<td>24.5</td>
<td><u style="color: #487cfa;">48.0</u></td>
<td><u style="color: #808080;">8.8</u></td>
<td><u style="color: #bfbfbf;">18.7</u></td>
</tr>
<tr>
<td>6.510</td>
<td>24</td>
<td>40</td>
<td>5</td>
<td>-</td>
<td>69</td>
<td>6.510</td>
<td>62.2</td>
<td>34.2</td>
<td>37.5</td>
<td>19.5</td>
<td>8.9</td>
</tr>
<tr>
<td>4.506</td>
<td>37</td>
<td>29</td>
<td>3</td>
<td>-</td>
<td>69</td>
<td>4.506</td>
<td>37.3</td>
<td>33.8</td>
<td>32.9</td>
<td>18.1</td>
<td>9.8</td>
</tr>
<tr>
<td>2.502</td>
<td>17</td>
<td>48</td>
<td>4</td>
<td>-</td>
<td>69</td>
<td>2.502</td>
<td>31.4</td>
<td>29.6</td>
<td><u style="color: #e6a2e6;">44.8</u></td>
<td><u style="color: #bfbfbf;">15.8</u></td>
<td><u style="color: #bfbfbf;">9.8</u></td>
</tr>
<tr>
<td>7.598</td>
<td>15</td>
<td>53</td>
<td>3</td>
<td>-</td>
<td>71</td>
<td>7.598</td>
<td>33.5</td>
<td>30.6</td>
<td><u style="color: #e6a2e6;">48.4</u></td>
<td><u style="color: #bfbfbf;">13.4</u></td>
<td><u style="color: #bfbfbf;">7.7</u></td>
</tr>
<tr>
<td>5.594</td>
<td>20</td>
<td>48</td>
<td>3</td>
<td>-</td>
<td>71</td>
<td>5.594</td>
<td><u style="color: #e6a2e6;">49.5</u></td>
<td><u style="color: #bfbfbf;">38.2</u></td>
<td><u style="color: #bfbfbf;">47.6</u></td>
<td><u style="color: #bfbfbf;">10.2</u></td>
<td><u style="color: #bfbfbf;">4.0</u></td>
</tr>
<tr>
<td>3.590</td>
<td>40</td>
<td>30</ td >
<th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><th colspan='3'>-</th><br/></tr>
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<table border="1">
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<th align="left">General statistics<br/><br/>Electorate<br/><br/>Resident population aged 18 and over<br/><br/>Estimated % unemployed<br/><br/>Band 'D' council tax<br/><br/>State of the parties, 1964-2014<br/><br/>General statistics<br/><br/>Ealing<br/><br/>London<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>Election date<br/><br/>
<table border="1">
<thead border="1">
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<th align="left">General statistics<br/></table border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border="1"><tr border="1"><table border="1"><tbody border "style=border:none;" cellspacing=0 cellpadding=0>"<div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px; ">General statistics </div> <div align=center style=border:none;border-bottom:solid 2px black;padding-top: 5px;padding-bottom: 5px; margin-top: 5px; margin-bottom: 5px; background-color:#ffffff; color:#000000; font-size: large; font-weight:bold; text-align:center; padding-left: 5px; padding-right: 5px;
Ealing
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Acton Central</td>
<td>22.5.14</td>
<td>38.3</td>
<td>24.8</td>
<td>42.5</td>
<td>6.7</td>
<td>13.6</td>
<td>-</td>
<td>8.7</td>
<td>-</td>
<td>3.8</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>58.7</td>
<td>28.9</td>
<td>35.9</td>
<td>22.1</td>
<td>9.8</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Cleveland</td>
<td>22.5.14</td>
<td>39.7</td>
<td>34.9</td>
<td>36.2</td>
<td>11.6</td>
<td>17.3</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>63.9</td>
<td>39.4</td>
<td>25.5</td>
<td>26.4</td>
<td>8.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Dormers Wells</td>
<td>22.5.14</td>
<td>41.7</td>
<td>15.4</td>
<td>77.9</td>
<td>6.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>62.5</td>
<td>27.1</td>
<td>55.7</td>
<td>12.2</td>
<td>5.0</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Ealing Broadway</td>
<td>22.5.14<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table>
<tr>
<th>Ealing Common </th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
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<th></th>
<th></th>
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<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>
<th>Ealing Common </th>>
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway Ealing Broadway EalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadwayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroadawayEalkingBroa...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Acton East Actan...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorne Elstorn...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broadway Greenford Broa...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Greenford Green Greenford Green Greenford Green Greenford Green Greenford Green Greenford Green Greenford Green Greenford Green Greenford Green Greenford Green Greenford Gre...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hill Hanger Hil...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbayne Hobbaye...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margaret Lady Margar...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Northfield Nort...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Northgreenfo Nort...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandeville Mandevile Mande...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End West End W...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwood Norwo...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Date %poll CON LAB LD GRE BNP UKIP IND REA Others Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Perivale Peri...</table
<table style="border-collapse: collapse; width: 100%;">
<tr style="background-color: #f0f0f...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>45</page_number>
Results
<table>
<tr>
<td rowspan="2">Acton Central<br>No change</td>
<td rowspan="2">Turnout 38.3%</td>
<td rowspan="2">Ealing Broadway<br>No change</td>
<td rowspan="2">Turnout 38.5%</td>
</tr>
<tr>
<td>Ealing</td>
</tr>
<tr>
<td>Crawford, Daniel S. *</td>
<td>LAB</td>
<td>1,993</td>
<td>Stafford, Alexander P.</td>
<td>CON</td>
<td>1,872</td>
</tr>
<tr>
<td>Walker, Patricia Ms. *</td>
<td>LAB</td>
<td>1,780</td>
<td>Young, Anthony C. B. *</td>
<td>CON</td>
<td>1,843</td>
</tr>
<tr>
<td>Gulaid, Abdullah*</td>
<td>LAB</td>
<td>1,758</td>
<td>Kumar, Seema Ms.</td>
<td>CON</td>
<td>1,614</td>
</tr>
<tr>
<td>Bogert, Ross</td>
<td>CON</td>
<td>1,136</td>
<td>Blacker, Liberty A. Ms.</td>
<td>LAB</td>
<td>1,123</td>
</tr>
<tr>
<td>Barchuk, Vlod</td>
<td>CON</td>
<td>1,087</td>
<td>Anderson, Robert</td>
<td>LAB</td>
<td>1,114</td>
</tr>
<tr>
<td>Lowe, Maire Ms.</td>
<td>CON</td>
<td>1,005</td>
<td>Culhane, John</td>
<td>LAB</td>
<td>1,091</td>
</tr>
<tr>
<td>Meiklejohn, Christina L. Ms.</td>
<td>GRE</td>
<td>590</td>
<td>Hans, Meena Ms.</td>
<td>GRE</td>
<td>682</td>
</tr>
<tr>
<td>Loxton, Lewis</td>
<td>UKIP</td>
<td>377</td>
<td>Brooks, Dorothy A. Ms.</td>
<td>LD</td>
<td>524</td>
</tr>
<tr>
<td>Joachim, Margaret J. Ms.</td>
<td>LD</td>
<td>307</td>
<td>Salaun, Patrick</td>
<td>LD</td>
<td>442</td>
</tr>
<tr>
<td>O'Connor, Michael</td>
<td>LD</td>
<td>287</td>
<td>Carr, Jon</td>
<td>UKIP</td>
<td>394</td>
</tr>
<tr>
<td>Cunningham, Richard</th td><th colspan="2">Ealing Common<br>No change<br>Election Turnout 40.1%</th><th colspan="2">Turnout 40.1%</th></tr><tr><th>Dixon, Sharon L. Ms.</th><th>TUSC<br></th><th colspan="2">Reece, Roz Ms. *</th><th colspan="2">CON<br></th></tr><tr><th>Cleveland<br>2 LAB gains from CON<br>Murray, Lynne Ms.</th><th colspan="2">LAB<br></th><th colspan="2">Dabrowska, Joanna K. Ms. *</th><th colspan="2">CON<br></th></tr><tr><th>Proud, Ian P.</th><th colspan="2">CON<br></th><th colspan="2">Ball, Jon T A. *</th><th colspan="2">LD<br></th></tr><tr><th>Rodgers, David<br>Diogo, Pedro<br>Williams, Vanessa J. Ms.<br>Salisbury, John R.</th><th colspan="2">LAB<br></th><th colspan="2">Scott, David A. H.<br>Hollis, Jenni<br>Ashwood, Tom<br>Metcalfe, John<br>O'Donnell, Craig W.</th><th colspan="2">CON<br></th></tr><tr><th>Summersgill, Freya C. Ms.<br>Fruzza, Francesco R. A.<br>Maycock, John B.<br>Sanders, Humaira Ms.</th><th colspan="2">GRE<br></th><th colspan="2">Rice, Miniam Ms.<br>Rosser, Michael L.<br>Toy, Angela M. Ms.</th><th colspan="2">LD<br></th></tr><tr><th>Dormers Wells<br>No change<br>Dhani, Tejinder S. *</th><th colspan="2">Turnout 41.7%</th><th colspan="2">East Acton<br>No change<br>Crawford, Kate Ms. *</th><th colspan="2">Turnout 32.9%</th></tr><tr><th>Dheer, Ranjit*</th><th colspan="2">LAB<br></th><th colspan="2">Gavan, Kieron M.</th><th colspan="2">LAB<br></th></tr><tr><th>Bagha, Tej R.*<br>Pack, Michael<br>Regan, June D. Ms.<br>Touma, Charbel<br>Ahmad, Mojanan<br>Glancy, Leslie A.<br>Salaman, Myer R.</th><th colspan="2">LAB<br></th><th colspan="2">Tailor, Hitesh*</th><th colspan="2">LAB<br></th></tr><tr><thead style="background-color: #f0f0f0;">Pack (con), Michael (con), Regan (con), Touma (con), Ahmad (ld), Glancy (ld), Salaman (ld)</thead><tbody style="background-color: white;">
<tr style=""><thead style="background-color: #f0f0f0;">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""><tr style=""><thead style="">Pack (con)</thead><tbody style=""></table></body></html>", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "No change", "Nochange"
<page_number>46</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ealing
<table>
<thead>
<tr>
<td></td>
<td></td>
<td>Turnout 41.8%</td>
<td>Hanger Hill</td>
<td>Turnout 35.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="5">2 LAB gains, 1 from CON, 1 from LD</td>
</tr>
<tr>
<td>Gordon, Yoel*</td>
<td>LAB</td>
<td>2,122</td>
<td>Morrissey, Joy R. Ms.</td>
<td>CON</td>
<td>1,872</td>
</tr>
<tr>
<td>Camadoo, Joanna D. Ms.</td>
<td>LAB</td>
<td>1,981</td>
<td>Sumner, Nigel R. *</td>
<td>CON</td>
<td>1,829</td>
</tr>
<tr>
<td>Mason, Peter E. J.</td>
<td>LAB</td>
<td>1,863</td>
<td>Stafford, Gregory J.</td>
<td>CON</td>
<td>1,801</td>
</tr>
<tr>
<td>Bakhai, Nigel*</td>
<td>LD</td>
<td>1,155</td>
<td>Kent, Amanda Ms.</td>
<td></td><td></td>
</tr>
<tr>
<td>Kapoor, Anita Ms. *</td>
<td>CON</td>
<td>975</td>
<td>Hussain, Amran</td>
<td>LAB</td><td>1,134</td>
</tr>
<tr>
<td>Conti, Fabio</td>
<td>CON</td>
<td>894</td>
<td>Woodgate, Paul J.</td>
<td>LAB</td><td>943</td>
</tr>
<tr>
<td>Potts, Ian M.</td>
<td>CON</td>
<td>886</td>
<td>Visaria, Ruby Ms.</td>
<td>GRE</td><td>875</td>
</tr>
<tr>
<td>Dugdale, Joanna L. Ms.</td>
<td>LD</td>
<td>613</td>
<td>Brooks, Cameron D. M.</td>
<td>LD</td><td>560</td>
</tr>
<tr>
<td>Basu, Suneil</td>
<td>CRE</td>
<td>595</td>
<td>West, Peter A.</td>
<td>LD</td><td>421</td>
</tr>
<tr>
<td>Warleigh-Lack, Christopher B.</td>
<td>CRE</td>
<td>572</td>
<td>Miller, Tony</td>
<td>LD</td><td>412</td>
</tr>
<tr>
<td>Singh, Harjinder</td>
<td>LD</td>
<td>426</td>
<td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<table>
<tr>
<th rowspan="2">Greenford Broadway No change Bell, Julian G.* Dheer, Harbhajan K. Murtagh, Timothy J.* Edwards, Peter Kilduff, Lisa A. Ms. Bhatia, Param S. Mitchell, Tom Allwright, Donald A. Callaghan, Patrick Fruzza, Eva S. Ms.</th>
<th rowspan="2">LAB CON CON CON IND LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LB gain from CON No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange 1 LAB gain from CON Jones, Penny Ms. Wall, Ray* Mccartan, Ciaran Costello Colm* Cajari, Joseph Shack, Eva Ms. Anderson, Alam C. Horwich, Zoe A. Willis, Fenton L. Woodcock, Lyn E. Ms. Lady Margaret Midha Mohinder K.* Mohan Karam* Padda Swaran 5.* Singh, Gurcharan Bhathal Chamkaur S. Khalil Sarosh Royappa Benjamin A. Diamond Sebastian J. Alac Loreta E. Dalal Rusi K. Sorathia Keshav N.</th>
<th rowspan="2">LAB LAB CON CON CON CON GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE LAB LAB CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LB gain from CON Turnout 36.5% Turnout 47.4% Turnout 43.9% Turnout 40.6%</th>
<th rowspan="2">LAB LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LAJ LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD LaD Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelab label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label label la<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla<label abla-label
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>47</page_number>
<table>
<thead>
<tr>
<td>Northfield<br>No change</td>
<td>Turnout 45.0%</td>
<td>Notholt West End<br>No change</td>
<td>Turnout 38.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Millican, David*<br>Mullins, Theresa M. Ms.</td>
<td>CON<br>1,944<br>1,655</td>
<td>Mahfouz, Bassam*<br>Martin, Dee Ms.</td>
<td>LAB<br>2,391<br>2,354</td>
</tr>
<tr>
<td>Reen, Mark J.*<br>Tomlinson, Anna J. Ms.</td>
<td>CON<br>1,594</td>
<td>Wall, Lauren M. Ms. *</td>
<td>LAB<br>2,299</td>
</tr>
<tr>
<td>Smith, Peter<br>Varma, Surinder N.</td>
<td>LAB<br>1,484<br>1,449</td>
<td>Schofield, Roy T. J.<br>Alberti, Wojciech</td>
<td>UKIP<br>814<br>644</td>
</tr>
<tr>
<td>Chapman, Nicholas A.</td>
<td>CRE<br>703</td>
<td>Stevens, Richard F.<br>Mccolgan, Catherine B. Ms.</td>
<td>CON<br>623<br>599</td>
</tr>
<tr>
<td>De La Motte, Bruni<br>Anthony, Simon R.</td>
<td>CRE<br>615</td>
<td>Furness, David<br>Seymour, John K. G.</td>
<td>BNP<br>362</td>
</tr>
<tr>
<td>Kendrick, Susan M. Ms.<br>Callaghan, Martin J.</td>
<td>LD<br>389</td>
<td>Ettesami, Pantea<br>Gyi, Henry</td>
<td>LD<br>160<br>144</td>
</tr>
<tr>
<td>Walsh, Ray<br>Gettleson, Mike</td>
<td>UKIP<br>305<br>265</td>
<td>Norwood Green</td>
<td>Turnout 40.0%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><strong>Notholt Mandeville</strong><br><em>I LAB gain from CON</em></td>
<td><strong>Turnout 41.5%</strong></td>
<td><strong>Ahmed, Munir<br>Sharma, Charan<br>Mahmood, Tariq</strong></td>
<td><strong>Turnout 43.6%</strong></td>
</tr>
<tr>
<td><strong>Summers Chris*</strong><br><em>Ahmed-Shalkh, Natasha Ms.</em></td>
<td>LAB<br>2,313<br>2,277</td>
<td><strong>Nieora, Alex<br>Allison, Justin J.*</strong></td>
<td><strong>Turnout 2.5%</strong></td>
</tr>
<tr>
<td>Hynes, Steve</td>
<td>LAB<br>2,261</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Harris, Eileen V. Ms.*<br>Anand, Paramjit S.</td>
<td>CON<br>1,158<br>1,132</td>
<td>Assoul, Mounira Ms.<br>Turumella, Madhava K.</td>
<td>CON<br>1,056<br>BNP<br>Brownling, Robert</td>
</tr>
<tr>
<td>Salisbury, Diana F. Ms.</td>
<td>CON<br>1,039</td>
<td>Bleasdale, Rose-Anna Ms.<br>Davies, Roger W.</td>
<td>CORE<br>Brownling,</td>
</tr>
<tr>
<td>Parry, Bryan A. J.</td>
<td>UKIP<br>734<br>234</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Smith, David<br>Kadhum, Muhammad J.</td>
<td>BNP<br>223</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Ld
<th colspan="2">Ealing
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<table cellspacing='0' cellpadding='0'>
<tr style='text-align:center;'>
<th style='padding-right: 0px;'>Northfield No change Northfield West End No change Turnout 38.0% Turnout 45.0% Turnout 40.0% Turnout 43.6%</th> </th>
<th style='padding-left: 0px;'>LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEBLAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEAELAEBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBLBlblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllbllblll
Ealing
<table>
<thead>
<tr>
<td>South Acton</td>
<td>Turnout 38.6%</td>
<td>Southall Green</td>
<td>Turnout 44.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Johnson, Yvonne Ms. *</td>
<td>LAB<br>1,957</td>
<td>Anand, Jasbir K. *</td>
<td>LAB<br>4,088</td>
</tr>
<tr>
<td>Blacker, Josh</td>
<td>LAB<br>1,897</td>
<td>Dhindsa, Kamaljit S. *</td>
<td>LAB<br>3,970</td>
</tr>
<tr>
<td>Sabiers, Milk*</td>
<td>LAB<br>1,660</td>
<td>Kang, Swarn 5.*</td>
<td>LAB<br>3,909</td>
</tr>
<tr>
<td>Cadogan, Amanda C. Ms.</td>
<td>CON<br>1,183</td>
<td>Chand, Avtar</td>
<td>CON<br>549</td>
</tr>
<tr>
<td>Gallant, Julian D.</td>
<td>CON<br>1,147</td>
<td>Anand, Inderjit</td>
<td>CON<br>481</td>
</tr>
<tr>
<td>Kumar, Sara</td>
<td>CON<br>936</td>
<td>Ware, Hazel E. Ms.</td>
<td>CON<br>415</td>
</tr>
<tr>
<td>Northcott, David A.</td>
<td>GRE<br>588</td>
<td>Mellor, Pat</td>
<td>LD<br>216</td>
</tr>
<tr>
<td>Little, Bob</td>
<td>UKIP<br>342</td>
<td>Paterson, Peter O. R.</td>
<td>LD<br>175</td>
</tr>
<tr>
<td>Parkinson, Tom</td>
<td>LD<br>336</td>
<td>Purkiss, Gary W.</td>
<td>LD<br>152</td>
</tr>
<tr>
<td>Ben-Nathan, Shao-Ying</td>
<td>LD<br>335</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Vivian, John-Paul</td>
<td>LD<br>225</td>
<td><strong>Southfield Turnout 42.3%</strong></td>
<td></td>
</tr>
<tr>
<td>Meskill, Dan</td>
<td>IND<br>221</td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td><strong>Southall Broadway No change Turnout 52.5%</strong></td>
<td></td>
<td><strong>Busutti, Gary LD 1,713 Malcolm, Gary * LD 1,712 Steed, Andrew T. * LD 1,555 </strong></td>
<td></td>
</tr>
<tr>
<td>Nagpal, Kamaljit K.</td>
<td>LAB<br>3,255</td>
<td>Barr, Patrick J.</td>
<td>CON<br>1,430</td>
</tr>
<tr>
<td>Khan, Sarfraz A.</td>
<td>LAB<br>3,236</td>
<td>Young, Janet E. Ms.</td>
<td>CON<br>1,161</td>
</tr>
<tr>
<td>Kohli, Sanja</td>
<td>LAB<br>3,205</td>
<td>Sabin, Nick</td>
<td>CON<br>1,106</td>
</tr>
<tr>
<td>Noori, Zahida A. *</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#eaeaea;">
<th colspan="2">Turnout 44.9%</th></tr></thead>
<tbody style="text-align:center;">
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Conlan, Paul N. J.</th> <th style="font-size:small;">LAB 1,986 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Shaw, Gareth J.</th> <th style="font-size:small;">LAB 1,942 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Rai, Binda Ms.</th> <th style="font-size:small;">LAB 1,845 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Chapman, Ann Ms. *</th> <th style="font-size:small;">CON 1,672 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Cowing, John*</th> <th style="font-size:small;">CON 1,407 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Kapoor, Ashok K. *</th>&<th style="font-size:small;">CON 1,238 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Allain, Ryan A.</th>&<th style="font-size:small;">GRE 892 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Mitchell, John W.</th>&<th style="font-size:small;">LD 416 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Royce, Catherine M. Ms.</th>&<th style="font-size:small;">LD 360 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Jones, Alan T.</th>&<th style="font-size:small;">UKIP 330 </th></tr>
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Sanyo, Adam </th>&<th style="font-size:small;">LD 289 </th></tr>
<tr style="background-color:#eaeaea;">
<th colspan="2" align=center>TOTAL VOTES ELECTION MAY 2014 <page_number>Ealing 48 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 2014-05-07 09:07:07 GMT+00:00 (UTC)</page_number></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#eaeaea;">
<th colspan="2">Turnout 44.9%</th></tr></thead>
<tbody style="text-align:center;">
<tr style="background-color:#eaeaea;">
<th style="font-size:small;">Conlan, Paul N. J.</th>&<th style="font-size:small;">LAB 1,</page_number>Ealing
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>49</page_number>
**Enfield**
Labour administration
<img>A map of Enfield showing the results of the 2014 local election. The map is divided into 17 electoral wards, each represented by a different colour. The colours are as follows:
- Blue: Conservative
- Red: Labour
- Purple: Conservative/Labour
The ward names are as follows:
1 Bowes
2 Bush Hill Park
3 Chase
4 Cockfosters
5 Edmonton Green
6 Enfield Highway
7 Enfield Lock
8 Grange
9 Haselbury
10 Highlands
11 Jubilee
12 Lower Edmonton
13 Palmers Green
14 Ponders End
15 Southbury
16 Southgate Green
17 Southgate Green
18 Turkey Street
19 Upper Edmonton
20 Winchmore Hill</img>
Conservative Labour Conservative/Labour
**State of the parties, 1964-2014**
| | CON | LAB | LD | other | total | % poll | CON | LAB | LD | other |
|---|---|---|---|---|---|---|---|---|---|---|
| 22.514 | 22 | 41 | - | - | 63 | 22.514 | 36.2 | 26.0 | 41.7 | 2.9 | 29.3 |
| 6.510 | 27 | 36 | - | - | 63 | 6.510 | 64.5 | 13.8 | 36.2 | 16.6 | 15.2 |
| 4.506 | 34 | 37 | - | - | 63 | 4.506 | 39.0 | 38.1 | 27.2 | 10.0 | 24.4 |
| 2.502 | 39 | 24 | - | - | 63 | 2.502 | 33.7 | 50.0 | 35.2 | 11.0 | 3.8 |
| 7.598 | 23 | 43 | - | - | 66 | 7.598 | 33.3 | 39.4 | 47.5 | 11.6 | 1.5 |
| 5.594 | 25 | 41 | - | - | 66 | 5.594 | 47.1 | 39.2 | 47.3 | 12.6 | 1.0 |
| 3.590 | 34 | 32 | - | - | 66 | 3.590 | 48.0 | 46.7 | 38.5 | 7.4 | 11.9 |
| 8.586 | 38 | 28 | - | - | 66 | 8.586 | 46.7 | 47.0 | 39.8 | 16.9 | 1.3 |
| 6.582 | 47 | 19 |-|-|-|66|65,82|43,4|50,8|28,0|20,9|0,3|
| **4,578** &nb...
50
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Enfield
<table>
<thead>
<tr>
<td></td>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bowes</td>
<td></td>
<td>22.5.14</td>
<td>38.2</td>
<td>21.1</td>
<td>60.6</td>
<td>--</td>
<td>14.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>3.5</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>60.4</td>
<td>27.0</td>
<td>43.0</td>
<td>15.9</td>
<td>14.1</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Bush Hill Park</td>
<td></td>
<td>22.5.14</td>
<td>37.8</td>
<td>31.3</td>
<td>27.8</td>
<td><u>9.4<u></u></td>
<td><u>12.9<u></u></td>
<td><u>-<u></u></u></td>
<td><u>18.6<u></u></td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td></td>
<td>28.7.11</td>
<td>23.8</td>
<td>44.5</td>
<td>26.8</td>
<td>7.1</td>
<td>4.0<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>2.5<br>2.8<br>9.2<br>--<u>--<u></u></u></td>
<td>--<u>--<u></u></u></td>
<td>--<u>--<u></u></u></td>
<td>--<u>--<u></u></u></td>
<th colspan="3">3.0<br>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></u></th>
<th>--<u>--<u></u></s
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>51</page_number>
**Results**
<table>
<thead>
<tr>
<th>Bowes<br>No change</th>
<th>Turnout 38.2%</th>
<th>Cockfosters<br>No change</th>
<th>Turnout 34.8%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Brett, Yasemin Ms.*<br>Georgiou, Achilleas*</td>
<td>LAB<br>2,249</td>
<td>Charalambous, Jason<br>Lavender, Michael*</td>
<td>CON<br>1,962</td>
</tr>
<tr>
<td>Sitkin, Alan*</td>
<td>LAB<br>2,055</td>
<td>Pearce, Anne-Marie Ms.</td>
<td>CON<br>1,804</td>
</tr>
<tr>
<td>Anslan, Atilla<br>Slover, Philip R.</td>
<td>CON<br>789</td>
<td>Costello, Betty Ms.<br>Leaver, Timothy</td>
<td>LAB<br>1,048</td>
</tr>
<tr>
<td>Dattani, Dimpz</td>
<td>CON<br>721</td>
<td>Yusuf, Hassan<br>Douglas, Tony</td>
<td>LAB<br>947</td>
</tr>
<tr>
<td>Doughty, Trevor U. C.</td>
<td>GRE<br>526</td>
<td>UKIP<br>509</td>
</tr>
<tr>
<td>Kemball-Cook, Geoff<br>Diggins, Craig A. J.</td>
<td>GRE<br>485</td>
<td>Phillips, Joe<br>Deller, Steven J.</td>
<td>GRE<br>422</td>
</tr>
<tr>
<td>Mehmet, Oliver O.</td>
<td>TUSC<br>120</td>
<td></td>
<td>LD<br>236</td>
</tr>
<tr>
<td>Curtis, Frank W.</td>
<td>TUSC<br>116</td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Edmonton Green<br><strong>Turnout 36.0%</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">No change<br><strong>During, Christiana Ms.</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">LAB<br><strong>2,597</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Abdullahi, Abdul<br><strong>2,551</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Stafford, Andrew*</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">LAB<br><strong>2,496</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Aakhiro, Cabdi<br>Beyzade, Mutlu K. M.</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">CON<br><strong>480</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Beyzade, Mutlu K. M.</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">CON<br><strong>466</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Mema, Petro<br>Saccomanno, Geri</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">GRE<br><strong>383</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Peacock, Lewis<br>Coker, Douglas F.</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">TUSC<br><strong>302</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Baker, Patrick Lewis<br>Rayfield, David F.</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">TUSC<br><strong>254</strong></td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;">Rayfield, David F.</td>
</tr>
<tr style="background-color: #F0F0F0;">
<td colspan="3" style="text-align: center;"><strong>TUSC 195</strong></td>
</tr>
<table>
<thead>
<tr>
<th>Bush Hill Park<br><strong>1 LAB gain from CON </strong></th>
<th><strong>Turnout 37.8%</strong></th>
<th><strong>No change </strong></th>
<th><strong>Turnout 34.0%</strong></th>
<th><strong>Enfield Highway </strong></th>
<th><strong>Turnout 34.0%</strong></th>
<th><strong>No change </strong></th>
<th><strong>Esendagli, Turgut </strong></th>
<th><strong>LAB 2,031 </strong></th>
<th><strong>LAB 1,959 </strong></th>
<th><strong>LAB 1,848 </strong></th>
<th><strong>LAB 788 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 547 </strong></th>
<th><strong>LAB 289 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><strong>LAB 774 </strong></th>
<th><br/><br/><br/><br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/>
Chase
<table cellspacing='1' cellpadding='1'>
<tbody id='table_1'>
<tr id='row_1'>
<td rowspan='1' class='header_item_1'>Chase <span id='table_column_1_label'>1 LAB gain from CON <span id='table_column_2_label'></span></span></td>
<td rowspan='1' class='header_item_2'>Turnout <span id='table_column_3_label'>42.7%</span></td>
<td rowspan='1' class='header_item_3'>No change <span id='table_column_4_label'></span></span> </td>
<td rowspan='1' class='header_item_5'>Hamilton, Christine Ms.<span id='table_column_6_label'></span> <span id='table_column_8_label'></span> <span id='table_column_9_label'></span> <span id='table_column_11_label'></span> <span id='table_column_12_label'></span> <span id='table_column_13_label'></span> <span id='table_column_15_label'></span> <span id='table_column_16_label'></span> <span id='table_column_18_label'></span> <span id='table_column_21_label'></span> <span id='table_column_22_label'></span> <span id='table_column_23_label'></span> <span id='table_column_25_label'></span> <span id='table_column_26_label'></span> <span id='table_column_28_label'></span> <span id='table_column_29_label'></span> <span id='table_column_31_label'></span> <span id='table_column_32_label'></span> </td>
<td rowspan='1' class='header_item_6'>Esendagli, Turgut<span id='table_column_19_label'></span> <span id='table_column_20_label'></span> <span id='table_column_24_label'></span> </td>
<td rowspan='1' class='header_item_8'>Hasan, Ahmet<span id='table_column_25_label'></span> <span id='table_column_26_label'></span> </td>
<td rowspan='1' class='header_item_9'>Boston, Dave<span id='table_column_28_label'></span> </td>
<td rowspan='1' class='header_item_11'>CON<span id='table_column_31_label'></span> </td>
<td rowspan='1' class='header_item_12'>CON<span id='table_column_32_label'></span> </td>
<td rowspan='1' class='header_item_13'>CON<span id='table_column_33_label'></span> </td>
<td rowspan='1' class='header_item_15'>UKIP<span id='table_column_35_label'></span> </td>
<td rowspan='1' class='header_item_16'>CON<span id='table_column_36_label'></span> </td>
<td rowspan='1' class='header_item_18'>GRE<span id='table_column_38_label'></span> </td>
<td rowspan='1' class='header_item_21'>BNP<span id='table_column_42_label'></span> </td>
<td rowspan='1' class='header_item_22'>BNP<span id='table_column_43_label'></span> </td>
<td rowspan='1' class='header_item_25'>BNP<span id='table_column_45_label'></span> </td>
<td rowspan='1' class='header_item_26'>BNP<span id='table_column_46_label'></span> </td>
<td rowspan='1' class='header_item_28'>BNP<span id='table_column_48_label'></span> </td>
<td rowspan='1' class='header_item_31'>BNP<span id='table_column_52_label'></span> </td>
<td rowspan='1' class='header_item_32'>BNP<span id='table_column_53_label'></span> </td>
<td rowspan='1' class='header_item_35'>BNP<span id='table_column_55_label'></span> </td>
<td rowspan='1' class='header_item_36'>BNP<span id='table_column_56_label'></span> </td>
<td rowspan '1' class = 'header_item_last_row'><div align = 'center'><b>Total Turnout (All Candidates)</b>:                                                                                                                                      </div></div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>| <div align = 'center'><b>Total Turnout (All Candidates)</b>: </div>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|<hr/>|
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<div class="" title=""></title="">
<page_number>52</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Enfield
<table>
<thead>
<tr>
<td>Enfield Lock</td>
<td>Turnout 37.7%</td>
<td>Jubilee</td>
<td>Turnout 38.3%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Fonyonga, Krystle</td>
<td>LAB<br>2,395</td>
<td>Cazimoglu, Alev</td>
<td>LAB<br>2,142</td>
</tr>
<tr>
<td>Keazor, Nneka*</td>
<td>LAB<br>2,203</td>
<td>Lappage, Bernie</td>
<td>LAB<br>1,984</td>
</tr>
<tr>
<td>Uzoanya, Ozzie*</td>
<td>LAB<br>2,189</td>
<td>Simbodyal, Rohini*</td>
<td>LAB<br>1,939</td>
</tr>
<tr>
<td>Downer, Sharon Ms.</td>
<td>UKIP<br>829</td>
<td>Celebi, Nazim</td>
<td>CON<br>730</td>
</tr>
<tr>
<td>Leonard, Mark</td>
<td>CON<br>725</td>
<td>Morrison, Clive W.</td>
<td>UKIP<br>633</td>
</tr>
<tr>
<td>Fadaka, Michael</td>
<td>CON<br>683</td>
<td>Waterhouse, Tom</td>
<td>CON<br>604</td>
</tr>
<tr>
<td>Kisubi, Michael</td>
<td>CON<br>537</td>
<td>Kurtaran, Alper</td>
<td>CON<br>603</td>
</tr>
<tr>
<td>Greening, David</td>
<td>CRE<br>443</td>
<td>Maydon, Benjamin C.</td>
<td>CRE<br>299</td>
</tr>
<tr>
<td>Keogh, Jason P.</td>
<td>BNP<br>296</td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th colspan="2">Grange Turnout 40.7%</th><th colspan="2">Lower Edmonton Turnout 35.7%</th></tr></thead><tbody><tr><td>No change</td><td></td><td>No change</td><td></td></tr><tr><td>Milne, Andy</td><td>CON<br>2,172</td><td>Dogan, Guney<br>Erbil, Nesimi</td><td>LAB<br>2,478<br>LAB<br>2,333<br>LAB<br>2,149</td></tr><tr><td>Neville, Terence*</td><td>CON<br>2,039</td><td>Keperz, Adeline<br>Brenda M. Ms.</td><td></td></tr><tr><td>Jukes, Eric</td><td>CON<br>1,968</td><td>Da Cruz, Joseph<br>Ozkun F.</td><td></td></tr><tr><td>Kinsler, Hazel M. Ms.</td><td>LAB<br>1,175</td><td>Cezki, Otkan F.</td><td></td></tr><tr><td>Skarpani, Vanessa</td><td>LAB<br>925</td><td></td><td></td></tr><tr><td>South, David</td><td>LAB<br>871</td><td></td><td></td></tr><tr><td>Letchford, Graham W.</td><td>UKIP<br>681</td><td>Agrawal, Alok<br>Palmers Green</td><td>CIN<br>GRE<br>Turnout 38.2%</br></th></tr><tr><td>Fenton, Mark</td><td>CRE<br>593</td><table border="1"><tbody><tr><th style="text-align: right;">No change:</th></tr></tbody></table></tr><tr><td>Winterbottom, Joy</td><table border="1"><tbody><tr><th style="text-align: right;">GRE<br style="border-bottom: 1px solid black;">442<br style="border-bottom: 1px solid black;">LD<br style="border-bottom: 1px solid black;">303<br style="border-bottom: 1px solid black;">No change:</th></tr></tbody></table></tr><tr><td>Smith, Paul D.</table border="1"><tbody><tr><th style="text-align: right;">Haselbury Turnout 36.7%</th></tbody></table></tr>
<table border="1">
<thead><tr><th colspan="2">No change:</th></tr></thead><tbody><tr><th>Hurman, Suna LAB 2,245 Mbe, George S. LAB 2,120 Ulus, Haydar LAB 2,025 Croshaw, Adrian W. CON 786 Daniels, Gonul CON 605 Harris, Aidan Q. M UKIP 566 Fersehazion, Mike CON 442 Davenport, Laura Ms. GRE 416 Goztas, Mehmet TUSC 374 Charalambous, Bambos* Maguire, Mary Ms. LAB 2,224 Oykenere, Ahmet Beyzadeh, Beyzead M. CON 987 Mcderrott, Natasha Ms. CON 956 Yiannitatsis, Amy Ms. CON 861 Georgiou, Costas M. IND 668 Malone, Brendan J. GRE 641 Gavriel, Angelos LD 299 BNP 158 Ponders End Turnout 36.2%</th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="2">Highlands Turnout 40.4%</th></tr></thead><tbody><tr><th>No change:</th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="2">No change:</th></tr></thead><tbody><tr><th>Taylor Doug* LAB 2,209 Orhan Ayfer* LAB 2,208 Vince, Glynis Ms. CON 2,002 Mcgowan Donald CON 2,204 Delman, Dogan* CON 1,982 Gungor,Tugba CON 565 Hamilton Joanne Ms. LAB 1,262 Stedman Andrew M. CON 513 Deacon Christopher LAB 1,241 Kadir Kamuran M. CON 497 Sutherland,Vincent LAB 908 Goodyer Rod GRE 384 Walton,William BNP 223 Evans ,Jeff UKIP 864 Kershaw Paul J. TUSC 171 Flint,David C.CRE 693 Lukasik,Marian IND 133 Simpson,Joseph N.TUSC 113
<img>Description of the table structure and content.</img>
<table border="1">
<thead><tr id='__annotation__rowinterval_0'><th id='__annotation__colinterval_0-line_item_description'>Enfield Lock No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change Nochange
<th id='__annotation__colinterval_1-line_item_quantity' class='line_item_quantity'>Turnout
<th id='__annotation__colinterval_2-line_item_description' class='line_item_description'>Jubilee
<th id='__annotation__colinterval_3-line_item_quantity' class='line_item_quantity'>Turnout
<th id='__annotation__colinterval_4-line_item_description' class='line_item_description'>
<tr id='__annotation__rowinterval_1' class='annotation_row'>
<th id='__annotation__colinterval_0-line_item_description' class='annotation_field'>Fonyonga,
Krystle
LAB
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<table border=
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>53</page_number>
Enfield
<table>
<thead>
<tr>
<td>Southbury<br>No change</td>
<td>Turnout 39.2%</td>
<td>Town<br>No change</td>
<td>Turnout 43.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bond, Chris*<br>Levy, Derek*</td>
<td>LAB<br>2,148</td>
<td>Laban, Joanne Ms.<sup>*</sup><br>Rye, Michael*</td>
<td>CON<br>2,121</td>
</tr>
<tr>
<td>Jemal, Jansev</td>
<td>LAB<br>1,759</td>
<td>Steven, Jim</td>
<td>CON<br>1,925</td>
</tr>
<tr>
<td>Panayi, Adele J. Ms.</td>
<td>CON<br>859</td>
<td>Barryman, Caitriona Ms.</td>
<td>LAB<br>1,485</td>
</tr>
<tr>
<td>Olisa-Ashar, Gerrad</td>
<td>CON<br>801</td>
<td>Hamilton, Ian W.</td>
<td>LAB<br>1,446</td>
</tr>
<tr>
<td>Savva, Stephen A.</td>
<td>CON<br>738</td>
<td>Murphy, Chris</td>
<td>LAB<br>1,186</td>
</tr>
<tr>
<td>Rolph, Fred</td>
<td>UKIP<br>719</td>
<td>Henwood, William G.</td>
<td>UKIP<br>810</td>
</tr>
<tr>
<td>Duce, Tom</td>
<td>CRE<br>467</td>
<td>Mcgregor, Kieran T.</td>
<td>PNP<br>735</td>
</tr>
<tr>
<td>Kousoulou, Garry A.</td>
<td>IND<br>357</td>
<td>Malin, Andreea Ms.</td>
<td>CRE<br>724</td>
</tr>
<tr>
<td>Nicholas, Marie Ms.</td>
<td>BNP<br>233</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Dolan, John P. J.</td>
<td>TUSC<br>157</td>
<td>Turkey Street<br>No change</td>
<td>Turnout 38.6%</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="2">Southgate<br>No change</td>
<td colspan="2">Turnout 36.8%</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Pearce, Daniel*</td>
<td>CON<br>1,714</td>
<td>Chibah, Katherine E. Ms.<br>Simon, Toby</td>
<td>LAB<br>1,925<br>LAB<br>1,819</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Smith, Edward*</td>
<td>CON<br>1,645</td>
<td>Lemonides, Dino<br>Lemonides, Dino</td>
<td>LAB<br>1,736</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Hayward, Robert*</td>
<td>CON<br>1,579</td>
<td>Robbens, Gary A.</td>
<td>UKIP<br>805</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Cranfield, Ingrid</td>
<td>LAB<br>1,529</td>
<td>Reynolds, Richard A.</td>
<td>CON<br>769</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Constantinides, Andreas</td>
<td>LAB<br>1,429</td>
<td>Schofield, Karl</td>
<td>LAB<br>740</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Ibrahim, Tahsin</td>
<td>LAB<br>1,319</td>
<td>Douglas, Elizabeth R. Ms.</td>
<td>CRE<br>380</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Krakowiak, Peter<br>Stainer, Alan L.</td>
<td>CRE<br>640<br>LD<br>403</td>
<td>Jewell, Rick J.<br>Squire, Stephen K.</td>
<td>BNP<br>328<br>BNP<br>278</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="2">Southgate Green<br>No change (2 LAB gains from CON)</td><td colspan="2">Turnout 41.6%</td></tr>
<tr style="border-top: 1px solid black;">
<th colspan="2">Upper Edmonton (LAB gains from CON)</th><th colspan="2">Turnout 35.6%</th></tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">Anderson, Daniel H.<br>Jemal,</th><th rowspan="2">LAB<br>Ekechi, Patricia Ms.<br>Bakir, Ali<br>Jiaggio, Doris A. M. Ms.</th><th rowspan="2">LAB<br>LAB<br>LAB<br>LAB</th><th rowspan="2">2,632<br>2,589<br>LAB<br>LAB</th></tr>
<tr style="border-bottom: 1px solid black;"> </tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">Stewart, Claire L. Ms.<br>Sadegh-Zadeh, Rasheed<br>Kaye, Jon<br>Jurtseven, Murat</th><th rowspan="2">LAB<br>LAB<br>LAB<br>CN</th><th rowspan="2">Zihni, Niyazi<br>Hussein, Mel Ms.<br>Noyan, Metin<br>Ainsworth, Richard</th><th rowspan="2">CON<br>CN<br>CN<br>CRE</th><th rowspan="2">573<br>569<br>CN<br>CRE</th></tr>
<tr style="border-bottom: 1px solid black;"> </tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">Clark, Fred<br>Hughes, David L.<br>Jemal,</th><th rowspan="2">GRE<br>GRE<br>CN<br>CN</th><th rowspan="2">601<br>Ainsworth,</th><th rowspan="2">GRE<br>CN...</th><th rowspan="2">563...</th></tr>
<tr style="border-bottom: 1px solid black;"> </tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">James, Mark L.<br>Jemal,</th><th rowspan="2">UKIP...<br>TUSC...<br>TUSC...<br>TUSC...</th><th rowspan="2">400...<br>333...<br>50...<br>TUSC...</th><th rowspan="2">LAB...<br>LAB...<br>LAB...<br>TUSC...</th><th rowspan="2">LAB...<br>LAB...<br>LAB...<br>TUSC...</th></tr>
<tr style="border-bottom: 1px solid black;"> </tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">Stainer, Lorice...<br>Maybin, Lee N.<br>O'Hanlon, Dean M.<br>TUSC...</th><th rowspan="2">LD...<br>TUSC...<br>TUSC...<br>TUSC...</th><th rowspan="2">400...<br>TUSC...<br>TUSC...<br>TUSC...</th><th rowspan="2">LAB...<br>LAB...<br>LAB...<br>TUSC...</th><th rowspan="2">LAB...<br>LAB...<br>LAB...<br>TUSC...</th></tr>
<tr style="border-bottom: 1px solid black;"> </tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">Stack,... John M.<br>Jemal,</th><th rowspan="2">TUSC...</th><th rowspan="2">36...</th><th rowspan="2">LAB...<br>LAB...<br>LAB...<br>TUSC...</th><th rowspan="2">LAB...<br>LAB...<br>LAB...<br>TUSC...</th></tr>
<tr style="border-bottom: 1px solid black;"> </tr>
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<th colspan="5"></th></tr>
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<page_number>54</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Enfield
<table>
<thead>
<tr>
<td>Winchmore Hill</td>
<td>Turnout 38.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>1 LAB gain from CON</td>
<td></td>
</tr>
<tr>
<td>Hayward, Elaine Ms.*</td>
<td>CON</td>
<td>1,494</td>
</tr>
<tr>
<td>Hürer, Erfan*</td>
<td>CON</td>
<td>1,461</td>
</tr>
<tr>
<td>Barry, Dinah</td>
<td>LAB</td>
<td>1,267</td>
</tr>
<tr>
<td>Cleary, Anthony</td>
<td>LAB</td>
<td>1,259</td>
</tr>
<tr>
<td>Zavros, Maria Ms.</td>
<td>CON</td>
<td>1,225</td>
</tr>
<tr>
<td>Tilki, Hakki S.</td>
<td>LAB</td>
<td>909</td>
</tr>
<tr>
<td>Phillips, Alison C. Ms.</td>
<td>GRE</td>
<td>574</td>
</tr>
<tr>
<td>Linton, Bill</td>
<td>GRE</td>
<td>555</td>
</tr>
<tr>
<td>James, Roger K.</td>
<td>UKIP</td>
<td>511</td>
</tr>
<tr>
<td>Robertson-Molloy, Jean Ms.</td>
<td>GRE</td>
<td>434</td>
</tr>
<tr>
<td>Osman, Helen Ms.</td>
<td>IND</td>
<td>425</td>
</tr>
<tr>
<td>Edwards, Joe</td>
<td>LD</td>
<td>311</td>
</tr>
<tr><td colspan="3">By-election<br><br>Bush Hill Park Turnout 23.8%<br>No change<br><br>28 July 2011<br><br><strong>Chamberlain, Lee CON 1,108<br></strong><br><strong>Wiggett, Ivor LAB 668<br>Kingsworth, Tony IND 230<br>Smith, Paul LD 177<br>Coker, Douglas GRE 100<br>Rolph, Gwyneth Ms. UKIP 70<br>Squire, Stephen BNP 61<br>Morrison, Clive CP 45<br>Weald, Ben ED 29<br><br><em>Resignation of Savva, Eleftherios (CON)</em></strong></td></tr></table>
<img>An image of a map showing London boroughs and electoral wards.</img>
<img>A pie chart showing the turnout percentages for each ward.</img>
<img>A bar chart showing the number of seats won by each party in each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.</img>
<img>A pie chart showing the number of seats won by each party in each ward.</img>
<img>A bar chart showing the number of candidates and their parties for each ward.</img>
<img>A line graph showing the trend of turnout over time for each ward.</img>
<img>A table showing the number of candidates and their parties for each ward.</img>
<img>A map showing the location of each ward within London.
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>55</page_number>
**Greenwich**
Labour administration
<img>A map of Greenwich showing the electoral wards and their party affiliations. The map is divided into different shades of red, blue, and purple to represent Conservative, Labour, and Conservative/Labour respectively.</img>
Conservative
Labour
Conservative/Labour
**State of the parties, 1964-2014**
| | CON | LAB | LD | other | total |
|---|---|---|---|---|---|
| 22.5.14 | 8 | 43 | - | - | 51 |
| 4.5.06 | 11 | 40 | - | - | 51 |
| 7.5.07 | 13 | 36 | 2 | - | 51 |
| 7.5.98 | 9 | 38 | 4 | - | 51 |
| 5.5.94 | 8 | 47 | 3 | 4 | 62 |
| 3.5.90 | 12 | 44 | 2 | - | 62 |
| 8.5.96 | 12 | 44 | 6 | - | 62 |
| 6.5.82 | 16 | 43 | 3 | - | 62 |
| 4.5.78 | 17 | 45 | - | - | 62 |
| 4.5.74 | 8 | 52 | - | - | 60 |
| 13.5.71 | 9 | 55 | - | - | 60 |
| 9.5.68 | 38 | 22 | - | - | 60 |
| 7.5.64 | 11 | 49 | - | - | 60 |
**% share of the poll, 1964-2014**
| % poli CON LAB LD other |
|---|---|---|---|
| **22.5.14** **37.3** **18.3** **42.3** **6.3** **33.1** |
| **4.5.06** **62.0** **24.5** **41.1** **16.8** **17.6** |
| **7.5.07** **45.06** **35.8** **27.6** **37.7** **18.0** **16.7** |
| **7.5.98** **39.8** **27.3** **40.0** **7.3** **7.7** |
| **5.5.94** **47.6** **21.8** **51.8** **18.4** **8.0** |
| **3.5.90** **51.1** **20.5** **39.9** **6.5** **33.2** |
| **8.5.96** **878** **27.4** **400** **0.9** **0.9** |
| **6.5.82** **878** **27.4** **400** **0.9** **0.9** |
| **4.5.78** **448** **42.1** **53.9** **2.2** **1.7** |
| **4.5.74** **360** **33.1** **60\.6** **5\.1** **1\.2** |
| **13\.5\.71** **443\.3** **29\.5** **69\.0** **0\.5\) \(. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0\. \(0.\) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \) \)
General statistics
<table>
<thead>
<tr>
<th></th>
<th>Greenwich</th>
<th>London</th>
</tr>
</thead>
<tbody>
<tr>
<td>Electorate</td>
<td>May 2014<br>May 2010</td>
<td>174,624<br>167,221</td>
<td>5,878,824<br>5,689,223</td>
</tr>
<tr>
<td>Resident population aged 18 and over</td>
<td>Mid 2014<br>Mid 2010</td>
<td>209,100<br>192,500</td>
<td>6,597,100<br>6,318,000</td>
</tr>
<tr>
<td>Estimated % unemployed</td>
<td>2013/14<br>2009/10</td>
<td>10\.8<br>10\.4</td>
<td>8\.2<br>9\.1</td>
</tr>
<tr>
<td>Band 'D' council tax</td>
<td>May 2014<br>May 2010</td>
<td>\£\,\(1,284\)<br>\£\,\(1,291\)</td>
<td>\£\,\(1,302\)<br>\£\,\(1,309\)</td>
</tr>
</tbody>
</table>
56 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Greenwich
<table>
<thead>
<tr>
<td></td>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Abbey Wood</td>
<td></td>
<td>22.5.14</td>
<td>33.8</td>
<td>9.4</td>
<td>48.8</td>
<td>5.4</td>
<td>12.1</td>
<td>-</td>
<td>24.3</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>59.1</td>
<td>16.9</td>
<td>45.8</td>
<td>15.9</td>
<td>7.3</td>
<td>11.1</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Blackheath Westcombe</td>
<td></td>
<td>22.5.14</td>
<td>47.7</td>
<td>31.0</td>
<td>38.5</td>
<td>9.1</td>
<td>21.4</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>72.4</td>
<td>31.4</td>
<td>30.3</td>
<td>21.4</td>
<td>14.3</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Charlton</td>
<td></td>
<td>22.5.14</td>
<td>37.8</td>
<td>11.7</td>
<td>47.6</td>
<td>7.0</td>
<td>18.4</td>
<td>-</td>
<td>15.3</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Coldharbour and New Eltham</td>
<td></td>
<td>6.5.10</td>
<td>62.6</td>
<td>19.9</td>
<td>44.7</td>
<td>17.0</td>
<td>12.8</td>
<td>5.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr><th colspan="12">Eltham North<br>(22.5.14)</th></tr>
<tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr>
<tr><th colspan="12">Eltham South<br>(22.5.14)</th></tr>
<tr><th colspan="12">Eltham West<br>(22.5.14)</th></tr>
<tr><th colspan="12">Glyndon<br>(22.5.14)</th></tr>
<tr><th colspan="12">Greenwich West<br>(22.5.14)</th></tr>
<tr><th colspan="12">Kidbrooke with Hornfair<br>(6.5.10)</th></tr>
<tr><th colspan="12">Middle Park and Sutcliffe<br>(6.5.10)</th></tr>
<tr><th colspan="12">Peninsula<br>(6.5.10)</th></tr>
<tr><th colspan="12">Plumstead<br>(6.5.10)</th></tr>
<tr><th colspan="12">Shooters Hill<br>(6.5.10)</th></tr>
<tr><th colspan="12">Thamesmead Moorings<br>(6.5.10)</th></tr>
<tr><th colspan="12">Woolwich Common<br>(6.5.10)</th></tr>
<tr><th colspan="12">Woolwich Riverside<br>(6.5.10)</th></tr>
<tr><th colspan="3"></th><th colspan="9"></th><th colspan="3"></th></tr>
<tr><th rowspan="3">Abbey Wood<br>(6.5.</th><th rowspan="3">Wood<br>(6.</th><th rowspan="3">Blackheath<br>(6.</th><th rowspan="3">Westcombe<br>(6.</th><th rowspan="3">Charlton<br>(6.</th><th rowspan="3">Coldharbour and New Elham<br>(6.</th><th rowspan="3">Elham North<br>(6.</th><th rowspan="3">Elham South<br>(6.</th><th rowspan="3">Elham West<br>(6.</th><th rowspan="3">Glyndon<br>(6.</th><th rowspan="3">Greenwich West<br>(6.</th><th rowspan="3">Kidbrooke with Hornfair<br>(6.</then<th rowspan="3">Middle Park and Sutcliffe<br>(6.</then<th rowspan="3">Peninsula<br>(6.</then<th rowspan="3">Plumstead<br>(6.</then<th rowspan="3">Shooters Hill<br>(6.</then<th rowspan="3">Thamesmead Moorings<br>(6.</then<th rowspan="3">Woolwich Common<br>(6.</then<th rowspan="3">Woolwich Riverside<br>(6.</then<th rowspan="3"></table>
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<td style='text-align: right;'>Date:</span> </span> <span style='font-weight: bold;'>%poll:</span> </span> <span style='font-weight: bold;'>CON:</span> </span> <span style='font-weight: bold;'>LAB:</span> </span> <span style='font-weight: bold;'>LD:</span> </span> <span style='font-weight: bold;'>GRE:</span> </span> <span style='font-weight: bold;'>BNP:</span> </span> <span style='font-weight: bold;'>UKIP:</span> </span> <span style='font-weight: bold;'>IND:</span> </span> <span style='font-weight: bold;'>REA Others:</span> </span>
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<td style='text-align: left;' valign='top'>Abbey Wood (22.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.<small>.
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>57</page_number>
**Results**
<table>
<thead>
<tr>
<td>Abbey Wood</td>
<td>Turnout 33.8%</td>
<td>Coldharbour & New Eltham</td>
<td>Turnout 40.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Hyland, Denise C. Ms. *</td>
<td>LAB<br>2,058</td>
<td>Hills, John*</td>
<td>CON<br>1,739</td>
</tr>
<tr>
<td>Mardner, Clive B. *</td>
<td>LAB<br>2,031</td>
<td>Brinkhurst, Mandy Ms. *</td>
<td>CON<br>1,636</td>
</tr>
<tr>
<td>Offord, Steve*</td>
<td>LAB<br>1,810</td>
<td>Hartley, Matt</td>
<td>CON<br>1,501</td>
</tr>
<tr>
<td>Glenister, Michael E.</td>
<td>UKIP<br>978</td>
<td>Whittle, Peter R.</td>
<td>UKIP<br>1,137</td>
</tr>
<tr>
<td>Briody, Gerard P.</td>
<td>GRE<br>486</td>
<td>Carr, Robert</td>
<td>LAB<br>1,112</td>
</tr>
<tr>
<td>Brinkhurst, Graham K.</td>
<td>CON<br>436</td>
<td>Bauer, Sandra E. Ms.</td>
<td>LAB<br>1,108</td>
</tr>
<tr>
<td>Couper, Barbara A. Ms.</td>
<td>CON<br>390</td>
<td>Slater, John M.</td>
<td>LAB<br>1,016</td>
</tr>
<tr>
<td>Salmon, Frank</td>
<td>CON<br>311</td>
<td>Adams, Clifford B.</td>
<td>BNP<br>401</td>
</tr>
<tr>
<td>Headon, Tom</td>
<td>LD<br>246</td>
<td>Sharman, David T.</td>
<td>GRE<br>398</td>
</tr>
<tr>
<td>Bryceland, Mark</td>
<td>LD<br>241</td>
<td>Lewis, Emma L. Ms.</td>
<td>LD<br>180</td>
</tr>
<tr>
<td>Iriajen, Samson A.</td>
<td>LD<br>169</td>
<td>Gentry, Paul G.</td>
<td>LD<br>158</td>
</tr>
<tr style="border-top: double;">
<td colspan="2">Blackheath Westcombe<br><em>1 LAB gain from CON</em></th><th style="text-align: right;">Turnout 47.7%</th><th style="text-align: right;">Eltham North<br><em>2 LAB gains from CON</em></th><th style="text-align: right;">Turnout 50.3%</th></tr>
<tr style="border-top: double;">
<td>Parker, Cherry Ms.</th><th style="text-align: right;">LAB<br><strong style="font-weight: bold;">2,185</strong></th><th style="text-align: right;">Drury, Spencer*</th><th style="text-align: right;">CON<br><strong style="font-weight: bold;">1,975</strong></th></tr>
<tr style="border-top: double;">
<td>Morrissey, Paul R.</th><th style="text-align: right;">LAB<br><strong style="font-weight: bold;">2,028</strong></th><th style="text-align: right;">Bird, Linda Ms.</th><th style="text-align: right;">LAB<br><strong style="font-weight: bold;">1,946</strong></th></tr>
<tr style="border-top: double;">
<td>Brighty, Geof*</th><th style="text-align: right;">CON<br><strong style="font-weight: bold;">1,797</strong></th><th style="text-align: right;">Davies, Wynn*</th><th style="text-align: right;">LAB<br><strong style="font-weight: bold;">1,942</strong></th></tr>
<tr style="border-top: double;">
<td>Welfare, Damien F. J.</th><th style="text-align: right;">LAB<br><strong style="font-weight: bold;">1,725</strong></th><th style="text-align: right;">Fletcher, Nigel*</th><th style="text-align: right;">CON<br><strong style="font-weight: bold;">1,823</strong></th></tr>
<tr style="border-top: double;">
<td>Turrell, Thomas</th><th style="text-align: right;">CON<br><strong style="font-weight: bold;">1,518</strong></th><th style="text-align: right;">Peirce, Simon W.</th><th style="text-align: right;">LAB<br><strong style="font-weight: bold;">1,556</strong></th></tr>
<tr style="border-top: double;">
<td>Tabrizi, Laela P. Ms.</th><th style="text-align: right;">CON<br><strong style="font-weight: bold;">1,459</strong></th><th style="text-align: right;">Thomas, Adam</th><th style="text-align: right;">CON<br><strong style="font-weight: bold;">1,519</strong></th></tr>
<tr style="border-top: double;">
<td>Allman, Trevor W.</th><th style="text-align: right;">GRE<br><strong style="font-weight: bold;">1,098</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="border-top: double;">
<td>O'Keefe, Michael J.</th><th style="text-align: right;">LD<br><strong style="font-weight: bold;">477</strong></th><th style="text-align: right;">Butler, Paul S.</th><th style="text-align: right;">UKIP<br><strong style="font-weight: bold;">1,221</strong></th></tr>
<tr style="border-top: double;">
<td>Coppack, Lee</th><th style="text-align: right;">LD<br><strong style="font-weight: bold;">458</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
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<td></table>
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<th rowspan='2'>Charlton No change </table>
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<th rowspan='2'>Maccarthy, Allan J. H. D.* </table>
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<th rowspan='2'>Williams, Miranda L. Ms. </table>
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<th rowspan='2'>Parker, Gary*</table>
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<th rowspan='2'>Averley, Della Ms. </table>
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<th rowspan='2'>Gerrard, Ian J. </table>
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<th rowspan='2'>Mbogga, Richard </table>
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<page_number>58</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Greenwich
<table>
<thead>
<tr>
<td>Eltham West<br>No change</td>
<td>Turnout 34.9%</td>
<td>Kidbrooke with Hornfair<br>No change</td>
<td>Turnout 35.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hayes, Mick*<br>Freeman, Bill*</td>
<td>LAB<br>1,479</td>
<td>Adams, Norman R.*<br>Grice, Christine Ms.</td>
<td>LAB<br>1,770</td>
</tr>
<tr>
<td>Walker, Ray*</td>
<td>LAB<br>1,453</td>
<td>Stanley, David C.</td>
<td>LAB<br>1,696</td>
</tr>
<tr>
<td>Acty, Ryan M. J.<br>Davis, Charles<br>Nichols, John<br>Stevenson, Mark</td>
<td>UKIP<br>856<br>452<br>451<br>377</td>
<td>Ray, Barbara V. Ms.<br>Hale, Toni<br>Emmanuel, Gold<br>Athur L.</td>
<td>UKIP<br>949<br>CON<br>773<br>GRE</td>
</tr>
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<td>Shipp, James<br>Ramsey, Paul<br>Potter, Harry D.<br>Shubert, Lester E.</td>
<td>CON<br>353<br>BNP<br>LD<br>158<br>145</td>
<td>Serroukh, Semo<br>Hunter, Frances Y. Ms.</td>
<td>CON<br>541<br>LD<br>301</td>
</tr>
<tr>
<td colspan="4">Middle Park and Sutcliffe Turnout 40.1%</td>
</tr>
<tr>
<td>Glyndon<br>No change</td>
<td>Turnout 31.8%</td>
<td>Middle Park and Sutcliffe No change May, Christine E. Ms.*<br>James, Mark S.*<br>Morris, Clare C. Ms.*<br>Druzy, Elizabeth Ms.</td>
<td>LAB<br>1,709<br>LAB<br>1,658</td>
</tr>
<tr>
<td>Austen, Donald J. *</td>
<td>LAB<br>2,212</td>
<td>Adams, Raymond<br>Morris, Clare C. Ms.*<br>Druzy, Elizabeth Ms.</td>
<td>LAB<br>1,624</td>
</tr>
<tr>
<td>Brooks, Peter J.</td>
<td>LAB<br>2,064</td>
<td>Coss, David<br>Roger P.</td>
<td>CON<br>1,026<br>GRE<br>886</td>
</tr>
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<td>Rabadia, Radha* Ms.</td>
<td>LAB<br>1,995</td>
<td>Mawji, Ben<br>Peter G.</td>
<td>GRE<br>568</td>
</tr>
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<td>Wilson, Janine Ms.</td>
<td>COREG<br><br></td>
<td></td>
<td></td>
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<td>Lee, Gillian Ms.</td>
<td>COREG<br><br></td>
<td></td>
<td></td>
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<td>Patel, Bhavul U.</td>
<td>COREG<br><br></td>
<td></td>
<td></td>
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<td>Sterling, Sheila J. Ms.</td>
<td>COREG<br><br></td>
<td></td>
<td></td>
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<td>Chamberlain, Lynne C. Ms.</td>
<td>TUSC<br><br></td>
<td>Baumont, David J.</td>
<td>LD<br><br></td>
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<td>Stringer, Sian Ms.</td>
<td>TUSC<br><br></td>
<td></td>
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<td></td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
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<th colspan="4" style="text-align: center;">No change Brain, Stephen A.<table style="width: 100%; border-collapse: collapse; border: none;">
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<th style="text-align: left;">LAB</th> </th> <th style="text-align: right;">LAB 1,926</th> <th style="text-align: right;">LAB 1,771</th> <th style="text-align: right;">LAB 1,614</th>
</tr> <tr style="border-bottom: 1px solid black;">
<th style="text-align: left;">Scott-McDonald, Denise Ms.</th> <th style="text-align: right;"></th> <th style="text-align: right;"></th> <th style="text-align: right;"></th>
</tr> <tr style="border-bottom: 1px solid black;">
<th style="text-align: left;">Lloyd, Chris</th> <th style="text-align: right;"></th> <th style="text-align: right;"></th> <th style="text-align: right;"></th>
</tr> <tr style="border-bottom: 1px solid black;">
<th style="text-align: left;">King, Jan E. Ms.</th> <th style="text-align: right;"></th> <th style="text-align: right;"></th> <th style="text-align: right;"></th>
</tr> <tr style="border-bottom: 1px solid black;">
<th style="text-align: left;">Connolly, Philip J.</th> <th style="text-align: right;"></th> <th style="text-align: right;"></th> <th style="text-align: right;"></th>
</tr> <tr style="border-bottom: 1px solid black;">
<th style="text-align: left;">Methley, Harry</th>&nb...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>59</page_number>
<table>
<thead>
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<td>Plumstead</td>
<td>Turnout 35.1%</td>
<td>Woolwich Common</td>
<td>Turnout 31.8%</td>
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<td>No change</td>
<td></td>
<td>No change</td>
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<td>Cornforth, Angela J. Ms.*<br/>Morrow, Matthew<br/>Sehmar, Rajinder</td>
<td>LAB<br/>LAB<br/>LAB</td>
<td>2,441<br/>2,033<br/>1,850</td>
<td>Gardner, David L.<br/>Singh, Harry*<br/>Hisbani, Ambreen</td>
<td>LAB<br/>LAB<br/>LAB</td>
<td>2,289<br/>2,208<br/>2,048</td>
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<tr>
<td>Johnson, Ronie D.</td>
<td>UKIP</td>
<td>924</td>
<td>Roy, Punendu</td>
<td>GRE</td>
<td>469</td>
</tr>
<tr>
<td>Lawbuoy, Jo</td>
<td>GRE</td>
<td>522</td>
<td>Warwick, David A.</td>
<td>UKIP</td>
<td>467</td>
</tr>
<tr>
<td>Frost, Sheila J. Ms.</td>
<td>CON</td>
<td>421</td>
<td>Hills, Patricia A. Ms.</td>
<td>CON</td>
<td>350</td>
</tr>
<tr>
<td>Riley, Martin S.</td>
<td>CON</td>
<td>408</td>
<td>Jones, Jennifer F. Ms.*<br/>Wainwright, Janet Ms.</td>
<td>CON</td>
<td>336<br/>269</td>
</tr>
<tr>
<td>Robinson, Gemma Ms.</td>
<td>CON</td>
<td>371</td>
<td>Gwizdala, Peter</td>
<td>LD</td>
<td>238</td>
</tr>
<table border="1">
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<tr><th colspan="2">Shooters Hill Turnout 41.0%</th><th colspan="2">Woolwich Riverside No change Turnout 31.4%</th></tr>
<tr><th>No change</th><th></th><th></th><th></th></tr>
<tr><th>Merrill, Sarah J. Ms.</th><th>LAB<br/>LAB<br/>LAB<br/>LAB<br/></th><th>2,027<br/>1,940<br/>1,894<br/>893<br/></th><th>Barwick, Barbara E. Ms.*<br/>Smith, Jackie A. Ms.<br/>Fahy, John*<br/>Angas, Elizabeth M. Ms.</th><th>LAB<br/>LAB<br/>LAB<br/>GRE<br/></th><th>2,426<br/>2,215<br/>2,162<br/>652<br/></th></tr>
<tr><th>Kirby, Christopher C. A.</th><th></th><th></th><th>Gill, John E.</th><th>UKIP</th><th>621</th></tr>
<tr><th>Thorpe, Danny L.*<br/>Price, Les<br>Burgess, Mo Ms.<br>Westcombe, Michael D.</th><th>UKIP<br>CON<br>GRE<br>CON</th><th>933<br>820<br>716<br>684</th><th>Davidson, Michael<br>Couper, David A.<br>Diallo, Abdoulaye<br>Schulz, Thomas*</th><th>CON<br>CON<br>CON<br>CON</th><th>612<br>514<br>419<br>307</th></tr>
<tr><th>Greenwell, Pat<br>Tiwari, Amit<br>Christie, Stewart C.<br>Austin, Anthony P.</th><th>LD<br>CON<br>LD<br>LD</th><th>482<br>390<br>269<br>249</th><th>Darlingham, Rachel Ms.<br>Hooker, Sally R. Ms.<br>Husaini, Hamsa<br>Horrox, Matthew J. B. B.</th><th>LD<br>LD<br>IND<br>LD</th><th>307<br>263<br>203<br>177</th></tr>
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<thead>
<tr><th colspan="5">Thamesmead Moorings Turnout 29.6%</th></tr>
<tr><th>No change</th><th></th><th></th><th></th><th></th></tr>
<tr><th>Babatola, Olu</th><th>LAB</th><th colspan="3">2,201</th></tr>
<tr><td>Lekau, Averil A. Ms.</td><td>LAB</td><td colspan="3">1,991</td></tr>
<tr><td>James, Sizwe</td><td>LAB</td><td colspan="3">1,931</td></tr>
<tr><td>Brinson, David</td><td>CON</td><td colspan="3">555</td></tr>
<tr><td>Solola, Femi</td><td>IND</td><td colspan="3">546</td></tr>
<tr><td>Ralph, Thomas</td><td>CON</td><td colspan="3">475</td></tr>
<tr><td>Haroutunian, Susan Ms.</td><td>GRE</td><td colspan="3">427</td></tr>
<tr><td>Mcewen, Freda Ms.</td><td>IND</td><td colspan="3">348</td></tr>
<tr><td>West, Paul J.</td><td>LD</td><td colspan="3">341</td></tr>
<tr><td>Stnannard, Alka</td><td>CON</td><td colspan="3">333</td></tr>
<img>A table showing results of London Borough Council elections in May 2014 for various wards and candidates.</img>
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<tr><th rowspan="2">Plumstead No change Cornforth Angela J. Ms.* Morrow Matthew Sehmar Rajinder Johnson Ronie D. Lawbuoy Jo Frost Sheila J. Ms. Riley Martin S. Robinson Gemma Ms. Derrick-Reeve Sylvia G. Ms.</table>
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60
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Hackney
Labour administration
Labour directly elected mayor
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>Brownswood</td>
<td>12</td>
<td>Hoxton West</td>
<td></td>
</tr>
<tr>
<td>2</td>
<td>Cazenote</td>
<td>13</td>
<td>King's Park</td>
<td></td>
</tr>
<tr>
<td>3</td>
<td>Cisseld</td>
<td>14</td>
<td>Lea Bridge</td>
<td></td>
</tr>
<tr>
<td>4</td>
<td>Dalston</td>
<td>15</td>
<td>London Fields</td>
<td></td>
</tr>
<tr>
<td>5</td>
<td>De Beauvoir</td>
<td>16</td>
<td>Shacklewell</td>
<td></td>
</tr>
<tr>
<td>6</td>
<td>Hackney Central</td>
<td>17</td>
<td>Springfield</td>
<td></td>
</tr>
<tr>
<td>7</td>
<td>Hackney Downs</td>
<td>18</td>
<td>Sutton Hill West</td>
<td></td>
</tr>
<tr>
<td>8</td>
<td>Hackney Wick</td>
<td>19</td>
<td>Stoke Newington</td>
<td></td>
</tr>
<tr>
<td>9</td>
<td>Haggerston</td>
<td>20</td>
<td>Victoria</td>
<td></td>
</tr>
<tr>
<td>10</td>
<td>Homerton</td>
<td>21</td>
<td>Woodberry Down</td>
<td></td>
</tr>
<tr>
<td>11</td>
<td>Hoxton East & Shoreditch</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr><td colspan="5" style="text-align:center;">State of the parties, 1964-2014 % share of the poll, 1964-2014<br><table><thead><tr><th rowspan="2">CON</th><th rowspan="2">LAB</th><th rowspan="2">LD</th><th rowspan="2">other</th><th rowspan="2">total</th><th rowspan="2">22.5.14<br>4<br>50<br>3<br>-<br>57<br></th><th colspan="3">% poll CON LAB LD other<br>38.6 12.1 56.9 8.1 22.9<br></th></tr><tr><th colspan="3"></th></tr></thead><tbody><tr><td colspan="7"></td></tr><tr><td>6.5.10<br>4.5.06<br>2.5.02<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-- </table></tr><tr><td colspan="7">5.5.94<br>6.5.86<br>6.5.82<br>4.5.78<br>4.5.74<br>13.5.71<br>9.5.68<br>7.5.84<br>-- <table><thead><tr><th colspan="7"></th></tr><tr><th colspan="7"></th></tr></thead><tbody><tr><td colspan="7"></table></tr></tr></tbody></table>
General statistics
<table id='general-statistics'>
<thead id='general-statistics-header'>
<tr id='general-statistics-header-row'>
<th>Electorate</th><th>Hackney London</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541 5,689,223'</table>
<table id='general-statistics-table'>
<tbody id='general-statistics-table-body'>
<tr id='general-statistics-table-row'>
<th>Electorate May 2014 May 2010 Hackney London 176,132 5,878,824 162,541
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>61</page_number>
% share of the poll
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
<th>Hackney</th>
</tr>
</thead>
<tbody>
<tr>
<td>Brownswood</td>
<td>22.5.14</td>
<td>40.4</td>
<td>9.7</td>
<td>55.8</td>
<td>7.8</td>
<td>22.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>4.4</td>
<td></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>59.6</td>
<td>12.2</td>
<td>45.8</td>
<td>25.5</td>
<td>16.5</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr>
<td>Cazenove</td>
<td>22.5.14</td>
<td>49.3</td>
<td>4.4</td>
<td>39.2</td>
<td>41.4</td>
<td>15.0</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>60.7</td>
<td>6.8</td>
<td>33.5</td>
<td>40.0</td>
<td>19.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr>
<td>Chatham</td>
<td>6.5.10</td>
<td>54.3</td>
<td>9.8</td>
<td>58.3</td>
<td>18.6</td>
<td>13.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td><img>A map showing the location of Chatham.</img></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></tr><tr><td>Clissold<br>Dalston<br>De Beauvoir<br>Hackney Central<br>Hackney Downs<br>Hackney Wick<br>Haggerston<br>Homerton<br>Hoxton<br>Hoxton East<br>& Shoreditch<br>Hoxton West<br>King's Park<br>Lea Bridge<br>London Fields<br>Lordship<br>New River<br>New River<br>Queensbridge<br>Shacklewell<br>Springfield<br>Stamford Hill West<br>Stoke Newington<br>Stoke Newington Central<br>Victoria<br>Wick<br>Woodberry Down<br></table><br/>22.5.14 38.6 16.5 54.9 7.2 19.0 -- -- -- -- 2.5<br/>6.5.10 57.4 18.8 44.5 22.1 14.6 -- -- -- -- --<br/>22.5.14 37.9 5.7 64.1 7.0 23.2 -- -- -- -- --<br/>3.5.12 41.5 5.5 68.2 11.0 15.3 -- -- -- -- --<br/>6.5.10 58.6 8.7 54.6 23.0 13.7 -- -- -- -- --<br/>22.5.14 39.8 5.7 61.8 8.8 23.7 -- -- -- -- --<br/>6.5.10 57.6 9.2 48.6 22.4 19.8 -- -- -- -- --<br/>22.5.14 32.6 7.5 66.1 6.5 19.9 -- -- -- -- --<br/>6.5.10 34.9 9.4 59.4 4.4 18.8 -- -- -- -- --<br/>65000000000000000000000000000000000000000000000000000000000000000000000000000-- <br/>Homerton Hoxton Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Lordship New River New River Queensbridge Shacklewell Springfield Stamford Hill West Stoke Newington Stoke Newington Central Victoria Wick Woodberry Down
62 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# Results
**Hackney**
<table>
<thead>
<tr>
<td>Brownsworth</td>
<td>Turnout 40.4%</td>
<td>Dalston</td>
<td>Turnout 35.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">1 fewer seat in ward</td>
</tr>
<tr>
<td>Potter, Clare Ms.</td>
<td style="text-align: right;">LAB<br>1,335</td>
<td>Adejare, Soraya</td>
<td style="text-align: right;">LAB<br>1,173</td>
</tr>
<tr>
<td>Bell, Brian*</td>
<td style="text-align: right;">LAB<br>1,287</td>
<td>Snell, Peter</td>
<td style="text-align: right;">LAB<br>1,067</td>
</tr>
<tr>
<td>Butler, Sam</td>
<td style="text-align: right;">GRE<br>562</td>
<td>Cort, Dominic O.</td>
<td style="text-align: right;">GRE<br>664</td>
</tr>
<tr>
<td>Lang, Peter</td>
<td style="text-align: right;">GRE<br>484</td>
<td>Key, Daniel</td>
<td style="text-align: right;">GRE<br>489</td>
</tr>
<tr>
<td>Aussenberg, Bella Ms.</td>
<td style="text-align: right;">CON<br>229</td>
<td>Driver, James C.</td>
<td style="text-align: right;">LD<br>170</td>
</tr>
<tr>
<td>White, Andrew G.</td>
<td style="text-align: right;">CON<br>226</td>
<td>Pearce, Pauline Ms.</td>
<td style="text-align: right;">LD<br>146</td>
</tr>
<tr>
<td>Leigh, Dominic</td>
<td style="text-align: right;">LD<br>195</td>
<td>Aussenberg, Rochelle Ms.</td>
<td style="text-align: right;">CON<br>139</td>
</tr>
<tr>
<td>Sharer, Bella Ms.</td>
<td style="text-align: right;">LD<br>171</td>
<td>Krajewska, Andrzej</td>
<td style="text-align: right;">CON<br>101</td>
</tr>
<tr>
<td>Rubens, Thomas A.</td>
<td style="text-align: right;">TUSC<br>104</td>
<td>Basevi, Luke</td>
<td style="text-align: right;">UKIP<br>90</td>
</tr>
<table border="1">
<thead><tr><th>Cazenove No change Jacobson, Abraham* Akhoon, Dawood E.* Sharer, Ian D.* Adeolu-David, Kofo Smyth, Gilbert Burn, Matthew Borris, Mischa Ms. Lopez, Jenny Ms. Webb, Teresa Ms. Kwasmik, Marzena I. Sills, Pamela Y. Ms. Halasz, Erika Clissold No change Cameron, Sophie Ms. Hercock, Ned Etti, Sade Ms. George, Charlotte C. L. Ms. Carpenter, Griffin Styles, Kirsty Ms. Anderson, Sylvia Ms. de Deney, Simon Cook, Allison Ms. Aussenberg, Glenda Ms. Steinberger, Ita Harms, Tony</th><th>Turnout 49.3%</th><th colspan="2">De Beauvoir De fewer seat in ward Bunt, Laura Ms. Peters, James Ryan, Catherine Ms. Brown, Cameron L. Lee, Nicholas Zolnierak, Weronika Ms. Freeman, Rebecca Ms. Diminieux, Cynthia Ms. Newby, Chris CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Connealy, David TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC Connealy, David Bunt, Laura Ms. Peters, James Ryan, Catherine Ms. Brown, Cameron L. Lee, Nicholas Zolnierak, Weronika Ms. Freeman, Rebecca Ms. Diminieux, Cynthia Ms. Newby, Chris Hackney Central No change Linden, Sophie Ms.* Hayhurst, Ben* Stops, Vincent*</th><th>Turnout 38.6%</th></tr><tr><th colspan="5">No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1% Turnout 45.1%</th></tr><tr><th colspan="2"></th><th>Linden,</th><th>Sophie Ms.* LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label Label LabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabelLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Lindel Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde Inde IndeInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eInd eIn d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd
<page_number>62</page_number>
<table border="1">
<thead><tr><th>Brownsworth Potter Clare Ms.</th><th>Turnout 40.4%</th><th>Dalston Adejare Soraya Snell Peter</th><th>Turnout 35.5%</th></tr></thead><tbody><tr><th rowspan="2">Potter Clare Ms.</th><th rowspan="2">LAB<br>1,335</th><th rowspan="2">LAB<br>1,287</th><th rowspan="2">LAB<br>1,067</th></tr><tr></tr></tbody></table>
<table border="1">
<thead><tr><th>Brownsworth Bell Brian*</th><th>Turnout 40.4%</th><th>Dalston Adejare Soraya Snell Peter</th><th>Turnout 35.5%</th></tr></thead><tbody><tr><th rowspan="2">Bell Brian*</th><th rowspan="2">LAB<br>1,287</th><th rowspan="2">LAB<br>1067</th></tr><tr></tr></tbody></table>
<table border="1">
<thead><tr><th>Brownsworth Butler Sam Lang Peter Aussenberg Bella Ms.</th><th>Turnout Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre GreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreen Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green GreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreenGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreeGreet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet Greet
<page_number>LONDON BOROUGH COUNcil ELECTIONS MAY 2014
Results
Hackney
Brownsworth
Potter Clare Ms.
Bell Brian*
Butler Sam
Lang Peter
Aussenberg Bella Ms.
White Andrew
Sharer Bella
Rubens Thomas
No Change
Jacobson Abraham*
Akhoon Dawood E.*
Sharer Ian D.*
Adeolu David Kofo
Smyth Gilbert
Burn Matthew
Borris Mischa
Lopez Jenny
Webb Teresa
Kwasmik Marzena
Sills Pamela
Halasz Erika
Clissold
No Change
Aameron Sophie
Hercock Ned
Etti Sade
George Charlotte C L Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border= "1">
<thead >
<tr >
<th>Brownsworth Potter Clare Ms.</th >
<th>Turnout </th >
<th>Dalston Adejare Soraya Snell Peter </th >
<th>Turnout </th >
<th>LAB </ th >
<th>LAB </ th >
<th>LAB </ th >
<th>LAB </ th >
<th>LAB </ th >
<th>LAB </ th >
<th>LAB </ th >
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<th>LAB </ th >
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<th>LAB </ th >
<th>LAB </ th >
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<th>LAB </ th >
<th>LAB </ th >
<tr >
<td>Brownsworth Potter Clare Ms.</ td >
<td style = "text-align:right" >LAB<br>1335</ td >
<td style = "text-align:right" >Adejare,Soraya<td style = "text-align:right" >LAB<br>287<td style = "text-align:right" >Snell,Peter<td style = "text-align:right" >LAB<br>067<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB<td style = "text-align:right" >LAB td colspan=3 align=center>No Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Change td colspan=3 align=centerNo Changed
<page_number>62 LONDON BOROUGH COUNcil ELECTIONS MAY 2014 Results Hackney Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharer Bella Rubens Thomas Jacobson Abraham Akhoon Dawood Sharer Ian Adeolu David Kofo Smyt Gilbert Burn Matthew Borris Mischa Lopez Jenny Webb Teresa Kwasmik Marzena Sills Pamela Halasz Erika Clissold Cameron Sophie Hercock Ned Etti Sade George Charlotte Carpenter Griffin Styles Kirsty Anderson Sylvia de Deney Simon Cook Allison Aussenberg Glenda Steinberger Ita Harms Tony
<table border='1'>
<thead ><tr ><th>Brownsworth Potter ClareMs Bell Brian Butler Sam Lang Peter Aussenberg BellaMs White Andrew Sharre
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>63</page_number>
<table>
<thead>
<tr>
<td>Hackney Downs<br>No change</td>
<td>Turnout 39.8%</td>
<td>Homerton<br>New ward in 2014</td>
<td>Turnout 37.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Desmond, Michael B.*<br>LAB</td>
<td>2,115</td>
<td>Champan, Robert A.<br>LAB</td>
<td>2,120</td>
</tr>
<tr>
<td>Rickard, Anna-Joy Ms.<br>LAB</td>
<td>2,100</td>
<td>Nicholson, Guy*</td>
<td>2,029</td>
</tr>
<tr>
<td>Muir, Rick*</td>
<td>2,020</td>
<td>Mulready, Sally Ms. *</td>
<td>LAB</td>
<td>1,993</td>
</tr>
<tr>
<td>Brown, Alexander<br>Greensill, Stuart<br>Guise, Andrew<br>Lashmore, Teena Ms.</td>
<td>843<br>834<br>719<br>342</td>
<td>Clark, Kevin<br>Deveney, John<br>Calvo, Virginia L. Ms.<br>Selby, Stephen A.</td>
<td>GRE<br>GRE<br>GRE<br>CON</td>
<td>548<br>527<br>507<br>231</td>
</tr>
<tr>
<td>Sadiq, Mohammed<br>Garry, Malcolm<br>Gray, Duncan<br>Gray, Amy Ms.</td>
<td>LD<br>LD<br>CON<br>CON</td>
<td>293<br>Harlfertt, Melissa Ms.<br>Igumnubole, Oluwagbemiro<br>Miah, Shuruj</td>
<td>LD<br>CON<br>IND<br>CON</td>
<td>216<br>201<br>194<br>187</td>
</tr>
<tr>
<td>Leosz, Izabel Ms.</td>
<td>CON</td>
<td>214<br>214<br>Harris, Charlie<br>Horowitz, Susan J. Ms.</td>
<td>LD<br>LD<br>TUSC</td>
<td>183<br>126</td>
</tr>
<table>
<thead>
<tr>
<td>Hackney Wick<br>New ward in 2014</td>
<td><strong>Turnout 32.6%</strong></td>
<td>Hoxton East & Shoreditch<br>New ward in 2014</td>
<td><strong>Turnout 31.1%</strong></td>
</tr>
</thead>
<tbody>
<tr>
<td>Kennedy, Christopher M. *</td>
<td><strong>LAB 1,830</strong></td>
<td><strong>LAB 1,588</strong></td>
<td></td>
</tr>
<tr>
<td>Webb, Jess Ms. *</td>
<td><strong>LAB 1,810</strong></td>
<td><strong>LAB 1,421</strong></td>
<td></td>
</tr>
<tr>
<td>Sharman, Nick</td>
<td><strong>LAB 1,700</strong></td>
<td><strong>LAB 1,385</strong></td>
<td></td>
</tr>
<tr>
<td>Hughes, Nicholas<br>Salisbury, Laura H. Ms.</td>
<td>GRE 634<br>GRE 524</td>
<td>Ebbutt, Tom*</td>
<td></td>
</tr>
<tr>
<td>Salem, Caroline Ms.</td>
<td>GRE 446</td>
<td>Chance, Rachel</td>
<td>GRE 392</td>
</tr>
<tr>
<td>IDris, Ahmed</td>
<td>LD 236</td>
<td>Cowdrill, Jonathan</td>
<td>GRE 358</td>
</tr>
<tr>
<td>Kane, James N.</td>
<td>CON 203</td>
<td>Sills, Christopher D.</td>
<td>CON 356</td>
</tr>
<tr>
<td>Colson, Jack A.</td>
<td>CON 203</td>
<td>Spiller, Thomas H.</td>
<td>CON 355</td>
</tr>
<tr>
<td>Lewry, Stanley D.</td>
<td>CON 194</td>
<td>Tinley, Jack</td>
<td>CON 323</td>
</tr>
<tr>
<td>Mathis, Ben</td>
<td>LD 165</td>
<td>Clinch, John</td>
<td>LD 185</td>
</tr><tr><th colspan="4">Ibars, Maria S. Ms.</th></tr><tr><th colspan="4">Haggerston<br>No change</th></tr><tr><th colspan="4">Buitekant, Barry*</th></tr><tr><th colspan="4">Mcshane, Jonathan D. *</th></tr><tr><th colspan="4">Munn, Ann E. Ms."</th></tr><tr><th colspan="4">Finlay, Heather Ms.</th></tr><tr><th colspan="4">Fernandez, Andrew<br>Corbie, Gideon Ms.</th></tr><tr><th colspan="4">Bullock, Doreen Ms.</th></tr><tr><th colspan="4">King, Clarence G.</th></tr><tr><th colspan="4">Wright, Timothy J.</th></tr><tr><th colspan="4">Cinpolat, Oktay<br>TUSC 243<br>Jordan, Joe<br>Payne, Geoffrey G. J.</th></tr><tr><th colspan="4">Rapaport, Meyer LD 94 LD See,</th></tr><tr><th colspan="4">Silva, Antonio Hughes Jon TUSC 136 LD See,</th></tr><tr><th colspan="4">Horowitz, Joseph LD See,</th></tr><tr><th colspan="4">Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneononoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneonoujain Jeannine Gre Greeneo
<page_number>64</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Hackney
<table>
<thead>
<tr>
<td>King's Park</td>
<td>Turnout 39.6%</td>
<td>Shacklewell</td>
<td>Turnout 39.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>New ward in 2014</td>
<td></td>
</tr>
<tr>
<td>Patrick, Sharon R. Ms. *</td>
<td>LAB<br>2,290</td>
<td>Gregory, Michelle Ms. *</td>
<td>LAB<br>1,468</td>
</tr>
<tr>
<td>Rahilly, Tom</td>
<td>LAB<br>2,068</td>
<td>Lufkin, Richard</td>
<td>LAB<br>1,344</td>
</tr>
<tr>
<td>Rennison, Rebecca Ms.</td>
<td>LAB<br>2,013</td>
<td>Sharpleys, Joel</td>
<td>GRE<br>594</td>
</tr>
<tr>
<td>Grove-White, Ruth Ms.</td>
<td>GRE<br>701</td>
<td>Grant-Peterkin, Hugh D.</td>
<td>GRE<br>550</td>
</tr>
<tr>
<td>Jones, Peter</td>
<td>GRE<br>684</td>
<td>Aussenberg, Mark J.</td>
<td>CON<br>132</td>
</tr>
<tr>
<td>Heaton, Christopher</td>
<td>GRE<br>604</td>
<td>Molloy, Simon</td>
<td>LD<br>125</td>
</tr>
<tr>
<td>Daid, James M.</td>
<td>CON<br>226</td>
<td>Chamberlain, Jamie</td>
<td>LD<br>110</td>
</tr>
<tr>
<td>Turgut, Andrew C.</td>
<td>CON<br>203</td>
<td>Rolkiewicz, Agnieszka Ms.</td>
<td>CON<br>107</td>
</tr>
<tr>
<td>Sheikh, Sheena Ms.</td>
<td>CON<br>202</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Pemberton, Jeff</td>
<td>LD<br>182</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th colspan="3">Lea Bridge Turnout 39.5%</th>
<th colspan="3">Springfield Turnout 46.8%</th>
<th colspan="3">Steinberger, Simche* CON 2,145 CON 2,144 CON 2,025 CON 1,708 LAB 1,678 LAB 1,605 GRE 384 GRE 317 GRE 313 LD 148 LD 127 LD 93 LAB 886 CON 953 LAB 886 CON 941 CON 237 LD 89 LD 44
<th colspan="3">Stamford Hill West Turnout 40.4%</th>
<th colspan="3">Sales, Rosemary Ms. LAB 1,105 CON 953 LAB 886 CON 941 GRE 249 LD 89 LD 44
<th colspan="3">New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014
<th colspan="3">Papier, Benzian CON<br>Aussenberg, Bernard*</table>
<table style="width: auto;">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th colspan="3">London Fields Turnout 40.6%</th>
<th colspan="3">Beyad, Fatemeh Knight, Cedric Knight, Craig Knight, Cedric Knight, Craig Knight, Cedric Knight, Craig Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight, Cedric Knight,</th>
<table style="width: auto;">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th colspan="3">Bramble, Amantinette A.C. Ms* LAB<br>Ozsen, M. C.</th>
<table style="width: auto;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th colspan="3">Plouviez, Emma Ms.* LAB<br>Beyad, Fatemeh Olive, Alexandra M. Ms.<table style="width: auto;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th colspan="3">Driver, Sandra Ms.<table style="width: auto;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th colspan="3">Dodkin, David Ellis, Alexander Doudeskos, Michael Firat, Fero Osborn, Tom Jacobson, Charles J. Swingler, Diana L. Ms.</th>
<table style="width: auto;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th colspan="3">TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC
<th colspan="3">Tuscans (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour) Labours (Labour)
<th colspan="3">Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Party
<th colspan="3">Labour Part...
<th colspan="...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>65</page_number>
<table>
<thead>
<tr>
<td>Stoke Newington<br>New ward in 2014</td>
<td>Turnout 43.8%</td>
<td>Woodberry Down<br>New ward in 2014</td>
<td>Turnout 40.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Thomson, Louisa Ms.*<br>Fajana-Thomas, Susan Ms.*<br>Coban, Mete</td>
<td>LAB<br>2,576<br>2,330<br>2,297</td>
<td>Burke, Jon<br>Selman, Caroline Ms.<br>Goldstein, Erfayim</td>
<td>LAB<br>1,653<br>1,480<br>CON</td>
</tr>
<tr>
<td>Bates, Danny<br>Williams, Kry sia Ms.<br>Goodman, Alexander<br>Lewington, Irene M. Ms.<br>Morgan, Jan Ms.</td>
<td>GRE<br>1,270<br>1,143<br>1,027<br>319<br>278</td>
<td>Odzé, Chaya<br>Moss, Karen R. K. Ms.<br>Hughes, Anna Ms.<br>Coffier, Topsy<br>Hornsby, Myall A.</td>
<td>CON<br>419<br>305<br>GRE<br>LD<br>LD</td>
</tr>
<tr>
<td>Odze, Lillian Ms.<br>Wypych, Agnieszka Ms.<br>Lunat, Imtiyaz<br>Morgan-Ash, Richard</td>
<td>CON<br>224<br>212<br>206<br>190</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Cotter, Michael</td>
<td>TUSC</td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="4"><strong>Victoria</strong><br>No change<br><strong>Turnout 38.0%</strong></td>
</tr>
<tr>
<td>Brett, Will</td>
<td>LAB</td>
<td>2,096</td>
<td></td>
</tr>
<tr>
<td>Hanson, Katie Ms.*<br>Taylor, Geoff*</td>
<td>LAB</td>
<td>2,059<br><strong>1,921</strong></td>
<td></td>
</tr>
<tr>
<td>Roberts, Helen F. Ms.<br>Hall, Zoe Ms.<br>Robinson, Wendy L. Ms.<br>Saunders, Winifred</td>
<td>GRE<br>GRE<br>GRE<br>CON</td>
<td>640<br>586<br>572<br>278</td>
<td></td>
</tr>
<tr>
<td>Dewan, Shahi<br>Priest, Sheila Ms.<br>James, Heather L. Ms.<br>Gaskin, Ian F.</td>
<td>CON<br>UKIP<br>LD<br>LD</td>
<td>269<br>256<br>186<br>165</td>
<td></td>
</tr>
<tr>
<td>Begum, Rumi<br>Jacobson, Theodore</td>
<td>CON<br>LD</td>
<td>151<br><strong>114</strong></td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="4" style="text-align: center;"><strong><u><u style="font-size: larger;">By-elections<u/></u></u></strong></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>New River<br><u style="font-size: larger;">16 September 2010 No change</u></td>
<td colspan="3" style="text-align: right;"><u style="font-size: larger;">Hackney Central Turnout 41.5% No change 03 May 2012 No change</u></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Papier, Benzion Burke, Jonathan Paul Cogains, Stuart Mathis, Benjamin Daniel David Fraser, Darren Marlon Death of Middleton Maureen Ms. (CON)</td>
<td style="text-align: right;">CON 1,567 LAB 1,007 GRE 77 LD 61 IND 26</td>
<td style="text-align: right;">Hayhurst, Ben Korel, Mustafa Pearce, Pauline Ms. Bofff Andrew Resignation of Laing Alan R. (LAB)</td>
<td style="text-align: right;">LAB 2,438 GRE 545 LD 394 CON 196</td>
</tr>
</tbody>
</table>
<img>A table showing election results for Stoke Newington and Hackney Central in London Borough Council elections May 2014.</img>
**Hackney**
66 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Hammersmith and Fulham**
Labour administration
<img>A map of Hammersmith and Fulham showing the constituencies and their party affiliations. The map is divided into several regions, each colored either blue (Conservative), red (Labour), or purple (Conservative/Labour). The constituencies are labeled with numbers and names.</img>
Conservative
Labour
Conservative/Labour
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.514</td>
<td>20</td>
<td>26</td>
<td>-</td>
<td>-</td>
<td>46</td>
<td>22.514</td>
<td>37.6</td>
<td>38.1</td>
<td>41.9</td>
<td>8.4</td>
<td>11.6</td>
</tr>
<tr>
<td>6.510</td>
<td>31</td>
<td>15</td>
<td>-</td>
<td>-</td>
<td>46</td>
<td>6.510</td>
<td>61.9</td>
<td>43.4</td>
<td>34.1</td>
<td>19.8</td>
<td>2.7</td>
</tr>
<tr>
<td>4.506</td>
<td>33</td>
<td>13</td>
<td>-</td>
<td>-</td>
<td>46</td>
<td>4.506</td>
<td>39.7</td>
<td>48.7</td>
<td>32.0</td>
<td>14.0</td>
<td>5.3</td>
</tr>
<tr>
<td>2.502</td>
<td>18</td>
<td>28</td>
<td>-</td>
<td>-</td>
<td>46</td>
<td>2.502</td>
<td>32.0</td>
<td>42.5</td>
<td>41.0</td>
<td>14.1</td>
<td>2.4</td>
</tr>
<tr>
<td>7.598</td>
<td>14</td>
<td>36</td>
<td>-</td>
<td>-</td>
<td>50<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td></tr></tbody></table>
% share of the poll, 1964-2014
General statistics
<table border="1">
<tr style="background-color: #f0f0f0;">
<th></th>
<th>Hammersmith and Fulham<br/>London<br/></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th>Electorate<br/>May 2014<br/>May 2010<br/></th>
<td style="text-align: right;">130,564<br/>127,333<br/><span style="font-size: larger;">5,878,824<br/>5,689,223<br/></span></td>
</tr>
<tr style="background-color: #f0f0f0;">
<th>Resident population aged 18 and over<br/>Mid 2014<br/>Mid 2010<br/></th>
<td style="text-align: right;">153,700<br/>148,800<br/><span style="font-size: larger;">6,597,100<br/>6,318,000<br/></span></td>
</tr>
<tr style="background-color: #f0f0f0;">
<th>Estimated % unemployed<br/>2013/14<br/>2009/10<br/></th>
<td style="text-align: right;">7.6<br/>10.6<br/><span style="font-size: larger;">8.2<br/>9.1<br/></span></td>
</tr>
<tr style="background-color: #f0f0f0;">
<th>Band 'D' council tax<br/>May 2014<br/>May 2010<br/></th>
<td style="text-align: right;"><span style="font-size: larger;">£1,061<br/>£1,122<br/>£1,309<br/></span></td>
</tr>
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<th></th>
<td style="text-align: center;"></td>
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<th></th>
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</tr>
<tr style="background-color: #f
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>67</page_number>
% share of the poll
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
</tr>
</thead>
<tbody>
<tr>
<td>Addison</td>
<td>22.5.14</td>
<td>42.9</td>
<td>41.8</td>
<td>44.5</td>
<td>13.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>64.1</td>
<td>39.5</td>
<td>29.2</td>
<td>19.5</td>
<td>11.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Askew</td>
<td>22.5.14</td>
<td>37.0</td>
<td>20.5</td>
<td>51.3</td>
<td>7.3</td>
<td>19.4</td>
<td>--</td>
<td>--</td>
<td><strong>1.5</strong></td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>62.9</td>
<td>27.0</td>
<td>44.0</td>
<td>29.0</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Avonmore &<br>Brook Green<br></br></td>
<td>22.5.14<br>6.5.10</td>
<td>36.9<br>59.8</td>
<td>43.2<br>46.1</td>
<td><strong>40.3<br>21.0<br></strong></td>
<td><strong>9.3<br></strong></td>
<td>--<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></strong></td>
<td>--<strong></strong></td>
<td>--<strong></strong></td>
<td> </strong> 7.1<br> -- <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong>&nb...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...<...</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></table>
Hammersmith and Fulham
College Park and Old Oak
Fulham Broadway
Fulham Reach
Hammersmith Broadway
Munster
North End
Palace Riverside
Parsons Green & Walham
Ravenscourt Park
Sands End
Shepherd's Bush Green
Town
Wormholt and White City
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Date</th>
<th>%poll (CON)</th>
<th>%poll (LAB)</th>
<th>%poll (LD)</th>
<th>%poll (GRE)</th>
<th>%poll (BNP)</th>
<th>%poll (UKIP)</th>
<th>%poll (IND)</th>
<th>%poll (REA Others)</th>
<th>%poll (Others)</th>
<th>Total %poll (%)</th>
<th>Total %Others (%)</th>
<th>Total %Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/BNP/UKIP/IND/REA Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/LD/GRE/<page_number>67</page_number>/Others (%) - CON/LAB/
<th>%poll (CON) + %poll (LAB) + %poll (LD) + %poll (GRE) + %poll (BNP) + %poll (UKIP) + %poll (IND) + %poll (REA Others) + %poll (Others)</th>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Date (YYYY.MM.DD)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (CON)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (LAB)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (LD)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (GRE)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (BNP)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (UKIP)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (IND)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (REA Others)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (Others)</th>
<tr style="background-color: #f0f0f0;">
<th>Total %poll (%)</th>
<tr style="background-color: #f0f0f0;">
<th>Total %Others (%)</th>
<tr style="background-color: #f0f0f0;">
<th>Total %Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+LD+GRE+BNP+UKIP+IND+REA Others (%)-CON+LAB+</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Date (YYYY.MM.DD)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (CON)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (LAB)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (LD)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (GRE)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (BNP)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (UKIP)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (IND)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (REA Others)</th>
<tr style="background-color: #f0f0f0;">
<th>%poll (Others)</th>
<tr style="background-color: #f0f0f0;">
<th>Total %poll (%)</th>
<tr style="background-color: #f0f0f0;">
<th>Total %Others (%)</th>
<tr style="background-color: #f0f0f0;">
<th>Total %Others (%)-CON- LAB- LD- GRE- BNP- UKIP- IND- REA Others (%)-CON- LAB- LD- GRE- BNP- UKIP- IND- REA Others (%)-CON- LAB- LD- GRE- BNP- UKIP- IND- REA Others (%)-CON- LAB- LD- GRE- BNP- UKIP- IND- REA Others (%)-CON- LAB- LD- GRE- BNP- UKIP- IND- REA Others (%)-CON- LAB- LD- GRE- BNP- UKIP- IND- REA Others (%)-CON- LAB-</table>
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<table border "
68
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Results**
| Candidate | Turnout | Fulham Broadway | Turnout |
|---|---|---|---|
| **Addison**<br>2 LAB gains from CON | 42.9% | 3 LAB gain from CON | 39.4% |
| Connell, Adam | LAB | 1,731 | Coleman, Ben | LAB | 1,571 |
| Fennimore, Sue Ms. | LAB | 1,702 | Holder, Sharon Ms. | LAB | 1,540 |
| Donovan, Belinda Ms. * | CON | 1,609 | De'Ath, Alan | LAB | 1,524 |
| Cowley, Joe | CON | 1,511 | Brockbank-Fowler, Victoria S A. Ms. * | CON | 1,252 |
| Forsyth, Charles | CON | 1,511 | Ford, Rachel Ms. * | CON | 1,232 |
| Kareem, Khafi Ms. | LAB | 1,499 | Thorley, Matt* | CON | 1,211 |
| Burden, Janet Ms. | LD | 504 | Kennedy, Laura Ms. | LD | 218 |
| Askew | Turnout 37.0% | | Braund, Harry | LD | 217 |
| No change | | | Waiting, Molly Ms. | LD | 188 |
| Candidate | Turnout |
|---|---|
| Needham, Caroline F. Ms. * | LAB | 2,208 |
| Homan, Lisa Ms.* | LAB | 1,976 |
| Vaughan, Rory J.* | LAB | 1,884 |
Higton, Mark<br>
Pender, George<br>
Albrecht, Helene G. Ms.<br>
Spencer Smith, Harry<br>
Coates, Penny Ms.<br>
Remy, Catherine Ms.<br>
Perin, Julie C. Ms.<br>
Zabavnik, Bozidar
Avonmore and Brook Green<br>
1 LAB gain from CON
Carlebach, Joe*<br>
Barlow, Hannah R. R. Ms.<br>
Ffiske, Caroline Ms.<br>
Malet, Henrietta Ms.<br>
O'Sullivan, Michael P.<br>
Qayyum, Zarar<br>
Swallow, Poppy Ms.<br>
Burden, Jon<br>
Dann, Billy<br>
Spencer, Dominic M.
College Park and Old Oak<br>
No change
Chunnery, Elaine N. Ms.*<br>
Harcourt, Wesley S.*<br>
Donovan, Gavin<br>
Huber, Jurgen<br>
Sturdy-Morton, Maria Ms.<br>
Bowatte, Visuddha
LAB<br>
LAB<br>
CON<br>
CON<br>
LAB<br>
LD<br>
LAB<br>
CON<br>
CON<br>
CON<br>
LD<br>
LD<br>
CON<br>
CON<br>
LD<br>
LD<br>
CON<br>
CON<br>
UKIP<br>
LD<br>
LD<br>
LD
LAB<br>
LAB<br>
CON<br>
LAB<br>
LAB<br>
LD<br>
LD<br>
LD
LAB<br>
LAB<br>
CON<br>
CON<br>
LAB<br>
LAB<br>
LAB<br>
LAB<br>
LAB<br>
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
CON
CON
CON
CON
UKIP
LD
LD
LD
TUSC
LAB
LAB
CON
GRE
CON
LD
LAB
CON
LD
LD
LD
LD
TUSC
LAB
LAB
CON
CON
LD
LD
LD
LD
LAB
No change
Murphy, PJ*
Cowan, Stephen*
Cartwright, Michael*
Borland, Jackie Ms.
Ahmed, Azi Ms.
Mickittirik, Jamie
Broad, David
Orchard, Nigel
Hinds, Paul
Sutton, Barry
Carey, Roy
Carey
TUSC
107
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>69</page_number>
**Hammersmith and Fulham**
<table>
<thead>
<tr>
<th>Munster<br>No change</th>
<th>Turnout 32.1%</th>
<th>Ravescourt Park<br>No change</th>
<th>Turnout 49.3%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Adam, Michael F.*<br>Alford, Adronie E. Ms.*<br>Karmel, Alex*</td>
<td>CON<br>1,498<br>1,436<br>1,412</td>
<td>Ivimy, Lucy Ms.*<br>Dewhirst, Charlie*<br>Phibbs, Harry</td>
<td>CON<br>1,724<br>1,621<br>1,608</td>
</tr>
<tr>
<td>Leighton, Rachel A. Ms.</td>
<td>LAB<br>667</td>
<td>Pilgram, Jasmine F. D. Ms.<br>Sanderson, Alexandra Ms.</td>
<td>LAB<br>1,489<br>1,329</td>
</tr>
<tr>
<td>Lukey, Frank<br>Parsons, Matt</td>
<td>LAB<br>601<br>536</td>
<td>Ree, Rowan M.<br>Akan, David R.</td>
<td>LAB<br>1,310<br>523</td>
</tr>
<tr>
<td>Wilson, Dede Ms.</td>
<td>NHA<br>301</td>
<td>Bailey, Simon</td>
<td>LD<br>322</td>
</tr>
<tr>
<td>Kennedy, Kathy Ms.</td>
<td>LD<br>244</td>
<td>Harris, Ian</td>
<td>LD<br>228</td>
</tr>
<tr>
<td>Adotevi, Sabine Ms.</td>
<td>LD<br>235</td>
<td>Miller, Thomas D.</td>
<td>LD<br>224</td>
</tr>
<tr>
<td>Orlean, Simone Ms.</td>
<td>LD<br>207</td>
<td>Wainwright, Jim</td>
<td>UKIP<br>192</td>
</tr>
<table>
<thead>
<tr>
<th>North End<br>2 LAB gains from CON</th>
<th>Turnout 39.4%</th>
<th>Sands End<br>No change</th>
<th>Turnout 32.6%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Brown, Daryl*<br>Culhane, Larry B.<br>Hashem, Ali<br>Crofts, Tom*</td>
<td>LAB<br>1,573<br>1,456<br>1,434<br>1,285</td>
<td>Hamilton, Steve*<br>Law, Jane V. Ms.*<br>Largan, Robert</td>
<td>CON<br>1,263<br>CON<br>1,239<br>CON<br>1,206</td>
</tr>
<tr>
<td>Jackson, Tamara Ms.<br>Najab, Nabil<br>Barnes, Gillian Ms.<br>Taylor, Sarah Ms.</td>
<td>CON<br>1,219<br>1,123<br>302<br>254</td>
<td>Bird, Brendan J.<br>Murphy, Dan<br>Bick, Christopher</td>
<td>LAB<br>1,153<br>LAB<br>951<br>LAB<br>934<br>UKIP<br>383</td>
</tr>
<tr>
<td>Elston, Andy<br>Falkner, Robert</td>
<td>UKIP<br>235<br>197</td>
<td>Lock, Max<br>Kenrick, Joel</td>
<td>GRE<br>344<br>LD<br>210</td>
</tr>
<table border="1">
<thead><tr><th style="text-align:left;">Palace Riverside No change</th><th style="text-align:right;">Turnout 44.3%</th><th style="text-align:left;">Shepherd's Bush Green No change</th><th style="text-align:right;">Turnout 34.9%</th></tr></thead><tbody><tr><td style="text-align:left;">Johnson, Donald M.*<br>Ginn, Marcus W. P.*<br>Domb, Debbie Ms.<br>Morris, Sean</td><td style="text-align:right;">CON 1,593 CON 1,500</td><td style="text-align:left;">Jones, Andrew M.<br>Perez Shepherd,Natalie Ms.</td><td style="text-align:right;">LAB 1,765 LAB 1,756 LAB 1,669</td></tr><tr><td style="text-align:left;">Burton,Amanda J. Ms.<br>Dragadze,Tamara Ms.<br>Bassford,Dan</td><td style="text-align:right;">GRE 324 LD 182 LD 163</td><td style="text-align:left;">Umeh,Mercy Ms.<br>Becher,Daniela Ms.<br>Marshall,William Thomas Archie C.</td><td style="text-align:right;">CON 642 CON 602 GRE 578 CON 552 UKIP 282 LD 256</td></tr><tr><td style="text-align:left;">Parsons Green and Walham No change Botterill,Nick* Stainton Frances M. Ms.* Loveday, Mark A.* Aitken,Alan Smith,Mary Ms. Sidu,Sid Kennedy,Alexandra Ms. Buchanan-Barrow,Paul Smith,Alun</td><td style="text-align:right;">Turnout 35.5% CON 1,853 CON 1,767 CON 1,719 LAB 553 LAB 511 LAB 486 LD 287 LD 233 LD 197</td><td style="text-align:left;">Oliaji,Meher Ms.</td><td></td></tr></tbody></table>
<img>A table showing election results for London Borough Council elections in May 2014 for Hammersmith and Fulham borough.</img>
<table border="0">
<tr><th colspan="4">Hammersmith and Fulham
<table border="0">
<thead><tr><th style="text-align:left;"></th><th style="text-align:right;">Turnout (%)<th style="text-align:left;"></th><th style="text-align:right;"></th></tr></thead><tbody><tr><th style="text-align:left;"></th><th style="text-align:right;">No change (LAB) (No change (CON)) (No change (GRE)) (No change (LD)) (No change (UKIP)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (No change (Other)) (nochange) nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange
<th style="text-align:right;">Turnout (%)<th style="text-align:left;"></th><th style="text-align:right;"></th></tr></tbody></table>
<table border="0">
<tr><th colspan="4">Hammersmith and Fulham
<table border="0">
<thead><tr><th style="text-align:left;"></th><th style="text-align:right;">Turnout (%)<th style="text-align:left;"></th><th style="text-align:right;"></th></tr></thead><tbody><tr><th style="text-align:left;"></th><th style="text-align:right;">No change <strong>(LAB)</strong>(No change <strong>(CON)</strong>) <strong>(No change <strong>(GRE)</strong>) </strong>(no change <strong>(LD)</strong>) <strong>(no change <strong>(UKIP)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>) <strong>(no change <strong>(Other)</strong>) </strong>(no change <strong>(Other)</strong>)
<th style="text-align:right;">Turnout (%)<th style="text-align:left;"></th><th style="text-align:right;"></th></tr></tbody></table>
<table border="0">
<tr><th colspan="4">Hammersmith and Fulham
<table border="0">
<thead><tr><th style="text-align:left;"></th><th style="text-align:right;">Turnout (%)<th style="text-align:left;"></th><th style="text-align:right;"></th></tr></thead><tbody><tr><th style="text-align:left;"></th><th style="text-align:right;">No change <span class='red'>(<span class='red'>LAB<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>CON<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>GRE<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>LD<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>UKIP<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span> <span class='red'>(<span class='red'>OTHER<span class='red'> </span> </span> </span)<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><
<page_number>70</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Town</td>
<td>Turnout 32.3%</td>
<td colspan="2">Wormholt and White City</td>
<td>Turnout 37.0%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td colspan="2">No change</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Smith, Greg*</td>
<td>CON<br>1,342</td>
<td>Aherne, Colin*</td>
<td>LAB<br>2,222</td>
</tr>
<tr>
<td>Brown, Andrew R.*</td>
<td>CON<br>1,301</td>
<td>Macmillan, Sue Ms.</td>
<td>LAB<br>2,014</td>
</tr>
<tr>
<td>Nsumbu, Viya Ms.</td>
<td>CON<br>1,181</td>
<td>Schmid, Max*</td>
<td>LAB<br>1,845</td>
</tr>
<tr>
<td>Cobb, Nicholas A.</td>
<td>LAB<br>623</td>
<td>Flint, Robert M.</td>
<td>CON<br>570</td>
</tr>
<tr>
<td>Ibrahim, Sara Ms.</td>
<td>LAB<br>611</td>
<td>Hughes, Tim</td>
<td>CON<br>532</td>
</tr>
<tr>
<td>Grigg, John</td>
<td>LAB<br>562</td>
<td>Townson, Louisa D. Ms.</td>
<td>CON<br>506</td>
</tr>
<tr>
<td>Kennedy, Paul</td>
<td>LD<br>516</td>
<td>Fox, Antony</td>
<td>GRE<br>370</td>
</tr>
<tr>
<td>Daly, Elizabeth Ms.</td>
<td>LD<br>492</td>
<td>Burridge, David</td>
<td>LD<br>171</td>
</tr>
<tr>
<td>Muir, Graham</td>
<td>LD<br>373</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Harris, Joanne F. Ms.</td>
<td>TUSC<br>118</td>
<td></td>
<td></td>
</tr>
</tbody>
Hammersmith and Fulham
By-elections
<table border="1">
<thead><tr><th>Town</th><th>Turnout 20.5%</th><th colspan="2">Wormholt And White City 07 February 2013 No change No change</th></tr></thead><tbody><tr><td>Brown, Andrew R.</td><td>CON<br>768</td><td>Schmid, Max<br>James McKitrick, James<br>Whittaker, Chris<br>Elston, Andrew<br>Boateng, Jeffrey<br>Donald, Andrew T.</td><td>LAB<br>1,419<br>251<br>LD<br>UKIP<br>IND<br>BNP</td></tr><tr><td>Coleman, Ben</td><td>LAB<br>416</td><td></td><td></td></tr><tr><td>Kennedy, Paul</td><td>LD<br>331</td><td></td><td></td></tr><tr><td>Elston, Andrew Resignation of Greenhalgh, Stephen J. (CON)</td><td>UKIP<br>39</td><td></td><td></td></tr></tbody></table>
Death of Campbell, Jean Ms. (LAB)
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>71</page_number>
**Haringey**
Labour administration
<img>A map of Haringey showing the wards and their respective party affiliations. The map is divided into three main colors: Labour (red), Liberal Democrat (yellow), and Labour/Liberal Democrat (orange). Each ward is labeled with its name.</img>
Labour
Liberal Democrat
Labour/Liberal Democrat
**State of the parties, 1964-2014**
<table>
<thead>
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<td></td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
<td>total</td>
<td>% poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>-</td>
<td>48</td>
<td>9</td>
<td>-</td>
<td>57</td>
<td>22.5.14</td>
<td>38.1</td>
<td>9.5</td>
<td>48.1</td>
<td>19.9</td>
<td>22.5</td>
</tr>
<tr>
<td>6.5.10</td>
<td>-</td>
<td>34</td>
<td>23</td>
<td>-</td>
<td>57</td>
<td>6.5.10</td>
<td>60.5</td>
<td>14.5</td>
<td>40.0</td>
<td>34.5</td>
<td>11.0</td>
</tr>
<tr>
<td>4.5.06</td>
<td>-</td>
<td>30</td>
<td>27</td>
<td>-</td>
<td>57</td>
<td>4.5.06</td>
<td>35.8</td>
<td>13.4</td>
<td>35.5</td>
<td>35.1</td>
<td>15.9</td>
</tr>
<tr>
<td>2.5.02</td>
<td>-</td>
<td>42</td>
<td>19</td>
<td>-</td>
<td>61</td>
<td>2.5.02</td>
<td>39.03</td>
<td>8.87</td>
<td>38.38</td>
<td>38.38</td>
<td>18.32</td>
</tr>
<tr>
<td>7.5.98</td>
<td>-</td>
<td>24</td>
<td>34</TD
72
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Haringey
<table>
<thead>
<tr>
<td></td>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Alexandra</td>
<td></td>
<td>22.5.14</td>
<td>49.4</td>
<td>11.1</td>
<td>33.5</td>
<td>30.7</td>
<td>24.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>74.0</td>
<td>13.5</td>
<td>23.6</td>
<td>51.6</td>
<td>11.3</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Bounds Green</td>
<td></td>
<td>22.5.14</td>
<td>37.8</td>
<td>6.3</td>
<td>52.5</td>
<td>23.1</td>
<td>12.1</td>
<td>-</td>
<td>6.0</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>57.6</td>
<td>12.8</td>
<td>45.3</td>
<td>35.0</td>
<td>6.9</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Bruce Grove</td>
<td></td>
<td>22.5.14</td>
<td>30.5</td>
<td>9.7</td>
<td>61.2</td>
<td>6.0</td>
<td>16.2</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th></tr></tbody></table>
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<tr style="background-color: #f0f0f0;">
<th colspan="13">Haringey<br>% share of the poll<br>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br></th></tr></table></tr></tbody></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></tbody/></table/></tbody/></html>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>73</page_number>
**Results**
<table>
<thead>
<tr>
<td colspan="5">Haringey</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Alexandra</strong><br>2 LAB gains from LD</td>
<td><strong>Turnout 49.4%</strong></td>
<td><strong>Crouch End</strong><br>2 LAB gains from LD</td>
<td><strong>Turnout 43.8%</strong></td>
<td></td>
</tr>
<tr>
<td><strong>Mcshane, Liz Ms.</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,445</strong></td>
<td><strong>Arthur, Jason J.</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,451</strong></td>
</tr>
<tr>
<td><strong>Patterson, James D.</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,395</strong></td>
<td><strong>Doron, Natan</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,435</strong></td>
</tr>
<tr>
<td><strong>Beacham, David M.*</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,284</strong></td>
<td><strong>Elliott, Sarah Ms.</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,342</strong></td>
</tr>
<tr>
<td>Wright, Charles E. F.</td>
<td><strong>LAB</strong></td>
<td><strong>1,247</strong></td>
<td>Keever, Lourdes M. Ms.</td>
<td><strong>LAB</strong></td>
<td><strong>1,250</strong></td>
</tr>
<tr>
<td>Harper, Indiana</td>
<td><strong>LD</strong></td>
<td><strong>1,244</strong></td>
<td>Harte, Patrick D.</td>
<td><strong>LD</strong></td>
<td><strong>1,101</strong></td>
</tr>
<tr>
<td>Fynaut, John L.</td>
<td><strong>LD</strong></td>
<td><strong>1,211</strong></td>
<td>Haley, Brian</td>
<td><strong>LD</strong></td>
<td><strong>1,099</strong></td>
</tr>
<tr>
<td>Craig, Lucy Ms.</td>
<td><strong>GRE</strong></td>
<td><strong>1,170</strong></td>
<td>Haring, Pamela J. Ms.</td>
<td><strong>GRE</strong></td>
<td><strong>855</strong></td>
</tr>
<tr>
<td>Peters, Gordon T.</td>
<td><strong>GRE</strong></td>
<td><strong>945</strong></td>
<td>Sykes, Greta</td>
<td><strong>GRE</strong></td>
<td><strong>705</strong></td>
</tr>
<tr>
<td>Davidson, Tom<br>Douglas, David<br>Simon, Sylvia Ms.<br>Ismail, Ali Ms.</td>
<td><br>GRE<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CON<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP<br>CNIP...</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td>No change</th colspan="6" style="text-align:center;">Bounds Green Turnout 37.8%</th colspan="6" style="text-align:center;">Fortis Green Turnout 42.4%</th colspan="6" style="text-align:center;">No change gain from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD Turnout from LD TurnOutt...
<th colspan="6" style="text-align:center;">No change gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gain gai...
<th colspan="6" style="text-align:center;">No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No chang...
<th colspan="6" style="text-align:center;">No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No chang...
<th colspan="6" style="text-align:center;">NochangegainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromLDgainfromL...<th colspan="6" style="text-align:center;">NochangegainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfromLdgainfr...
<th colspan="6" style="text-align:center;">Nochangegaingainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgains...
<th colspan="6" style="text-align:center;">Nochangegainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsgainsga...
<th colspan="6" style="text-align:center;">Nochangegainsgainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingainingingainingingainingingainingingainingingininginingininginingininginingininginingininginingininginingininginingin...
<th colspan="6" style="text-align:center;">Nochangegainingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsingingsi...
<th colspan="6" style="text-align:center;">Nochangegainssinginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggingginggi...
<th colspan="6" style="text-align:center;">Nochangegainssingingsi...
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<th colspan="6" style="text-align:center;">Nochangegainssingingsi...
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<th colspan="6" style="text-align:center;">Nochangegainssingingsi...
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<th colspan="6" style="text-align:center;">Nochangegainssingingsi...
<th colspan="6" style="text-align:center;">Nochangegainssingingsi...
<th colspan "
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Haringey</td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">Harringay<br>2 LAB gains from LD</td>
</tr>
<tr>
<td>Adamou, Gina Ms. *</td>
<td>LAB</td>
<td>1,683</td>
<td>Muswell Hill<br>1 LAB gain from LD</td>
</tr>
<tr>
<td>Ryan, James A.</td>
<td>LAB</td>
<td>1,395</td>
<td>Connor, Pippa Ms.<br>Engert, Gail Ms. *</td>
</tr>
<tr>
<td>Ibrahim, Emine</td>
<td>LAB</td>
<td>1,372</td>
<td>Blake, Mark A.</td>
</tr>
<tr>
<td>Alexander, Karen J. Ms. *</td>
<td>LD</td>
<td>1,182</td>
<td>Jenkinson, Cara Ms.</td>
</tr>
<tr>
<td>Schmitz, David R. *</td>
<td>LD</td>
<td>1,139</td>
<td>Whysall, Emma F. M. Ms.</td>
</tr>
<tr>
<td>Kaur, Asha</td>
<td>LD</td>
<td>878</td>
<td>Roberts, Elliot D.</td>
</tr>
<tr>
<td>Cuthbert, Matthew J.</td>
<td>GRE</td>
<td>657</td>
<td>Rosser, Joyce E. Ms.</td>
</tr>
<tr>
<td>Smith, Tristan J. L.</td>
<td>GRE</td>
<td>572</td>
<td>Green, Jeremy</td>
</tr>
<tr>
<td>Smith-Jeffeys, Kerry F. Ms.</td>
<td>GRE</td>
<td>558</td>
<td>Barker, Christopher J.</td>
</tr>
<tr>
<td>Rivers, Sean</td>
<td>CON</td>
<td>219</td>
<td>Carter, Guy</td>
</tr>
<tr>
<td>Kaplan, David</td>
<td>TUSC</td>
<td>219</td>
<td>Forrest, Daphne Ms.</td>
</tr>
<tr>
<td>Rivlin, Lydia Ms.</td>
<td>CON</td>
<td>212</td>
<td>Curtis, Kay Ms.</td>
</tr>
<tr>
<td>Rossini, Massimo</td>
<td>CON</td>
<td>200</td><br>Noel Park<br>No change<br>Turnout 33.6%</td><br></tr>
<table border="1">
<thead><tr><th rowspan="2">Highgate No change</th><th colspan="2">Turnout 43.7%</th><th rowspan="2">LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>Barnes, Dawn Ms.</th></tr><tr><th colspan="2"></th></tr></thead><tbody><tr><th>Morris, Liz Ms.</th><th>LD 1,372</th><th>Ball, Sophie A. Ms.</th></tr><tr><th>Hare, Bob*</th><th>LD 1,228</th><th>Robles, Roberto</th></tr><tr><th>Carter, Clive D.</th><th>LD 1,140</th><th>Heinink, Colin</th></tr><tr><th>Boston, Janet Ms.</th><th>LAB 1,043</th><th>Seebourne, Vik</th></tr><tr><th>Woolf, John</th><th>LAB 921</th><th>Mcgowan, Mike</th></tr><tr><th>Denyer, Antony</th><th>CON 893</th><th>Johnston, Peter</th></tr><tr><th>Carter, Kay Ms.</th><th>CON 881</th><th>Catling, Sam D.</th></tr><tr><th>Clarke, Peter</th><th>LAB 859</th><th>Burdett, Esther Ms.</th></tr><tr><th>Surtees, Celia Ms.</th><th>CON 829</th><th>Ostrowski, Ewa</th></tr><tr><th>Lawrenson, Alexander G.</th><th>GRE 539</th><th>O'Shea, Neil</th></tr><tr><th>Milford, Edward</th><th>GRE 422</th><th>Gibson Pauline Ms. *</th></tr><tr><td>Lynch, Noel T.</td><td>GRE 406</td><td></td></tr>
<table border="1">
<thead><tr><th rowspan="2">Hornsey 3 LAB gains from LD No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change Northumberland Park Turnout 32.0%</table>
<table border="1">
<thead><tr><th rowspan="2">Jogee, Adam Mann Jennifer M. Ms. Weston Elin E. Barnes Dawn Ms. Reid Errol* Kilby Gillian Ms. Hogan Mary B. Ms. Budge Peter Ford Duncan Crook Aidan Coyle Tom Pastides Alice Vasey Clark Northumberland Park Turnout 32.0% Northumberland Park Turnout 32.0%</table>
<table border="1">
<thead><tr><th rowspan="2">Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Heringe y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y
<th rowspan="2">Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harringtony Harrinationg
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan="2">Harringay
<th rowspan "
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>75</page_number>
<table>
<thead>
<tr>
<td><strong>St. Ann's</strong><br>No change</td>
<td><strong>Turnout 32.5%</strong></td>
<td><strong>Stroud Green</strong><br><em>3 LAB gains from LD</em></td>
<td><strong>Turnout 45.9%</strong></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Blake, Barbara J. Ms.</strong></td>
<td><strong>LAB</strong><br>1,829</td>
<td><strong>Hearn, Kirsten Ms.</strong></td>
<td><strong>LAB</strong><br>1,760</td>
</tr>
<tr>
<td><strong>Morton, Peter J. M.</strong></td>
<td><strong>LAB</strong><br>1,508</td>
<td><strong>Gallagher, Timothy</strong></td>
<td><strong>LAB</strong><br>1,757</td>
</tr>
<tr>
<td><strong>Ozbek, Ali G.</strong></td>
<td><strong>LAB</strong><br>1,491</td>
<td><strong>Sahota, Raj</strong></td>
<td><strong>LAB</strong><br>1,492</td>
</tr>
<tr>
<td>Darko, Emily Ms.</td>
<td>GRE<br>757</td>
<td>Myring, Ben</td>
<td>LD<br>1,309</td>
</tr>
<tr>
<td>Pollitt, Matthew</td>
<td>GRE<br>530</td>
<td>Wilson, Richard J.*</td>
<td>LD<br>1,244</td>
</tr>
<tr>
<td>Kacmaz, Zeynep</td>
<td>GRE<br>497</td>
<td>Reece, Katherine M. Ms.*</td>
<td>LD<br>1,226</td>
</tr>
<tr>
<td>Hester, Simon</td>
<td>TUSC<br>271</td>
<td>Lavery, Anne D. M. Ms.</td>
<td>GRE<br>816</td>
</tr>
<tr>
<td>Green, Scott P.</td>
<td>CON<br>251</td>
<td>Anstee, Mark</td>
<td>GRE<br>725</td>
</tr>
<tr>
<td>Prager, Alison Ms.</td>
<td>LD<br>243</td>
<td>Bury, Dennis R.</td>
<td>GRE<br>694</td>
</tr>
<tr>
<td>Reid, Andrew N.</td>
<td>TUSC<br>236</td>
<td>Gilbert, Peter</td>
<td>CON<br>238</td>
</tr>
<tr>
<td>Ghertan, Mihaï</td>
<td>LD<br>217</td>
<td>Garfield, Barry</td>
<td>CON<br>227</td>
</tr>
<tr>
<td>Nichols, Peter J.</td>
<td>UKIP<br>212</td>
<td>Lumb, Sally Ms.</td>
<td>CON<br>227</td>
</tr>
<tr>
<td>Ariyo, Tola</td>
<td>LD<br>210</td>
<td>Auvache, Nicholas R.</td>
<td>TUSC<br>149</td>
</tr>
<tr>
<td>Koller, Melinda Ms.</td>
<td>CON<br>194</td>
<td colspan="2"><strong>Tottenham Green </strong></td>
</tr>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>No change<br><br><br></th><th style="text-align: center;">Turnout 37.0%</th><th style="text-align: center;"><em>No change </em></th><th style="text-align: center;">LAB<br style="color: #0000ff;">LAB 1,808<br style="color: #0000ff;">LAB 1,795<br style="color: #0000ff;">LAB 1,741 </th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<tr style="background-color: #cccccc;">
<th style="text-align: left;"><strong>Diasides, Isidorus*</strong></th><th style="text-align: right;"></table>
<table border='1'>
<thead type='none'>
<tr type='none'>
<th>No change<br/><br/></thead>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='left'><b>Basu, Dhiren *</b></td>
<td rowspan='3' align='right'><b>LAB 2,190 </b></td>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<td rowspan='3' align='center'><b>Vanier , Bernice A."</b></tbody>
</tr>
<tr type='none'>
<tbody type='none'>
<tr type='none'>
<page_number>76</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Haringey**
<table>
<thead>
<tr>
<td>West Green</td>
<td>Turnout 33.7%</td>
<td>Woodside</td>
<td>Turnout 35.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Griffith, Eddie *</td>
<td>LAB</td>
<td>1,780</td>
<td>Meehan, George F. *</td>
<td>LAB</td>
<td>2,018</td>
</tr>
<tr>
<td>Akwasi-Ayisi, Eugene</td>
<td>LAB</td>
<td>1,772</td>
<td>Egan, Patrick A. *</td>
<td>LAB</td>
<td>1,947</td>
</tr>
<tr>
<td>Mallett, Toni Ms.</td>
<td>LAB</td>
<td>1,697</td>
<td>Waters, Ann M. Ms. *</td>
<td>LAB</td>
<td>1,865</td>
</tr>
<tr>
<td>Ashworth, Jacqueline L. Ms.</td>
<td>GRE</td>
<td>455</td>
<td>Brown, Craig</td>
<td>LD</td>
<td>418</td>
</tr>
<tr>
<td>Allen, David A.</td>
<td>CON</td>
<td>383</td>
<td>Dean, Kathryn Ms.</td>
<td>GRE</td>
<td>406</td>
</tr>
<tr>
<td>Jorgensen, John</td>
<td>GRE</td>
<td>361</td>
<td>Squire, Roxanne Ms.</td>
<td>LD</td>
<td>393</td>
</tr>
<tr>
<td>Elmaz, Shengul</td>
<td>CON</td>
<td>326</td>
<td>Allan, Kirsty Ms.</td>
<td>LD</td>
<td>361</td>
</tr>
<tr>
<td>Mackie, George P.</td>
<td>GRE</td>
<td>325</td>
<td>Rennie, David</td>
<td>GRE</td>
<td>342</td>
</tr>
<tr>
<td>Lalobo, Caesar</td>
<td>CON</td>
<td>290</td>
<td>Noble, David</td>
<td>CON</td>
<td>271</td>
</tr>
<tr>
<td>Alma, Ramazan</td>
<td>LD</td>
<td>238</td>
<td>Gravett, Jodie L. Ms.</td>
<td>UKIP</td>
<td>259</td>
</tr>
<tr>
<td>Sutton, Jenny Ms.</td>
<td>TUSC</td>
<td>237</td>
<td>Saughnessy, Mike</td>
<td>GRE</td>
<td>254</td>
</tr>
<tr>
<td>Oktay, Savas</td>
<td>LD</td>
<td>215</td>
<td>Pearce, Laurence</td>
<td>CON</td>
<td>244</td>
</tr><tr><th colspan="6">White Hart Lane Turnout 32.9%</th></tr><tr><th>No change<br>Bull, Gideon A. *</th><th style="text-align: center;">LAB<br/></th><th style="text-align: center;">1,801<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Adje, Charles O. *</th><th style="text-align: center;">LAB<br/></th><th style="text-align: center;">1,704<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Stennett, Anne E. Ms. *</th><th style="text-align: center;">LAB<br/></th><th style="text-align: center;">1,486<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Price, Andrew R.</th><th style="text-align: center;">UKIP<br/></th><th style="text-align: center;">376<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Bradley, Margaret A. Ms.</th><th style="text-align: center;">CON<br/></th><th style="text-align: center;">294<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Bradley, Roger E.</th><th style="text-align: center;">CON<br/></th><th style="text-align: center;">280<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Egin, Melike<br/>Ernst, Friedrich<br>Evely, Anna Ms.</th><th style="text-align: center;">CON<br/>GRE<br/>GRE<br/></th><th style="text-align: center;">267<br/>263<br/>226<br/></th><th></th><th></th><th></th></tr><tr><th style="text-align: left;">Guvercin, Ali<br>Murray, Frank A.<br>Lewis, Claire Ms.<br>Elliott, John C.<br>Head, Paul<br>TUSC<br>GRE<br>LD<br>LD<br>IDC<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE<br>GRE...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>77</page_number>
**Harrow**
Labour administration
<img>A map of Harrow showing the wards and their party affiliations. The Conservative area is shown in blue, Labour in red, Conservative/Labour in purple, Conservative/Independent in grey, and Labour/Liberal Democrat in orange.</img>
| State of the parties, 1964-2014 | % share of the poll, 1964-2014 |
|---|---|
| CON | LAB | LD | other | total | % poll | CON | LAB | LD | other |
| 22.5.14 | 26 | 34 | 1 | 2 | 63 | 22.5.14 | 40.7 | 36.5 | 36.0 | 7.4 | 20.1 |
| 6.5.10 | 27 | 34 | 1 | 1 | 63 | 6.5.10 | 65.6 | 39.5 | 34.7 | 20.4 | 5.4 |
| 4.5.06 | 38 | 24 | 1 | - | 63 | 4.5.06 | 41.4 | 46.7 | 30.7 | 19.2 | 3.4 |
| 2.5.02 | 29 | 31 | 3 | - | 63 | 2.5.02 | 23.8 | 31.9 | 39.1 | 7.3 | 4.5 |
| 7.5.38 | 202 | 32 | -9 | -9 | -989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989 |
| 5.5.04 | 17 | 14 | -20 |-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|-20|
| 3.5.90 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - |
| 3.5.76 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - |
| 3.5.71 | 36 |-13|11|3|63|3|5.71|46.7|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.|34.
| **General statistics**|
| Electorate May 2014 May 2010 |
| Resident population aged 18 and over Mid 2014 Mid 2010 |
| Estimated % unemployed |
| Band 'D' council tax |
<table>
<tr>
<td>Harrow</td>
<td>London</td>
</tr>
<tr>
<td>Electorate</td>
<td>May 2014</td>
<td>May 2010</td>
<td>182,107</td>
<td>173,563</td>
<td>5,678,624</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
<td>5,677,677</td>
</tr>
<tr>
<td>Resident population aged 18 and over</td>
<td>Mid 2014 Mid 2010</td>
<td></td>
<td>187,300<br/>184,100</td>
<td></td>
<td>6,597,100<br/>6,31B,OOO</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Estimated % unemployed</td>
<br/>
<table border="1">
<thead><tr><th>Year</th><th>% Unemployed</th></tr></thead>
<tbody><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><td>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployed (in brackets)</th></tr><tr><th>Mid/End of Year (in brackets)</th><th>% Unemployment Rate in London in the last year available for which data was collected by the Office for National Statistics is not available for this area.</table>
</tbody>
</table>
<table border="1">
<thead><tr><th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax</table>
<table border="1">
<thead><tr><<th>Band 'D' council tax
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78
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Harrow
<table>
<thead>
<tr>
<th>% share of the poll</th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Belmont</td>
<td>22.5.14</td>
<td>42.1</td>
<td>47.2</td>
<td>33.0</td>
<td>12.6</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>7.1</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>69.6</td>
<td>48.4</td>
<td>28.4</td>
<td>23.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Canons</td>
<td>22.5.14</td>
<td>37.2</td>
<td>58.0</td>
<td>30.9</td>
<td>11.1</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>2.6.17</td>
<td>26.7</td>
<td>59.7</td>
<td>30.9</td>
<td>9.4</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>65.4</td>
<td>59.3</td>
<td>23.4</td>
<td>17.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Edgware</td>
<td>22.5.14</td>
<td>39.4</td>
<td>36.8</td>
<td>49.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td><td colspan="2">-- 13.5 -- </td></tr><tr><td></td><td>6.5.10<br>60.2<br>57.7<br>34.4<br>40.7<br>18.8<br>6.1<br></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td></tr><tr><td></table>
<table>
<tr>
<th>Harrow on the Hill </th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th>Harrow Weald </th><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br/><table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Harrow on the Hill </th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">Date<br/>22.5.14<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">%poll<br/>43.4<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">CON<br/>65.10<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">LAB<br/>77173<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">LD<br/>65.10<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">GRE<br/>39.5<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">BNP<br/>39.5<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">UKIP<br/>39.5<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">IND<br/>65.10<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="border-bottom: 1px solid black;">REA Others<br/>39.5<br/></th> <table style="border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="text-align: center;"><span class='line_item_amount' id='line_item_amount_6'>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line_item_currency' id='line_item_currency_6'>-</span>-<span class='line-item_amount'>$0,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,00...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>79</page_number>
**Results**
<table>
<thead>
<tr>
<td rowspan="2">Belmont</td>
<td rowspan="2">Turnout 42.1%</td>
<td rowspan="2">Greenhill</td>
<td rowspan="2">Turnout 34.7%</td>
</tr>
<tr>
<td colspan="2">Harrow</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>No change</strong></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Kara, Manji K. *</td>
<td>CON<br>1,708</td>
<td>Anderson, Sue Ms. *</td>
<td>LAB<br>1,552</td>
</tr>
<tr>
<td>Seymour, Lynda Ms. *</td>
<td>CON<br>1,674</td>
<td>Ferry, Keith</td>
<td>LAB<br>1,251</td>
</tr>
<tr>
<td>Parmar, Minaxi Ms.</td>
<td>CON<br>1,666</td>
<td>Ali, Ghaazanfar</td>
<td>LAB<br>1,243</td>
</tr>
<tr>
<td>Patel, Nishit</td>
<td>LAB<br>1,300</td>
<td>Mudhar, Narinder S.</td>
<td>CON<br>873</td>
</tr>
<tr>
<td>Gilligan, Dean</td>
<td>LAB<br>1,210</td>
<td>Segal, Bernard</td>
<td>CON<br>860</td>
</tr>
<tr>
<td>Ahmed, Farhan</td>
<td>LAB<br>1,026</td>
<td>Sodha, Ravi A.</td>
<td>CON<br>772</td>
</tr>
<tr>
<td>Diamond, Anne D. Ms.</td>
<td>LD<br>451</td>
<td>Moran, Michael</td>
<td>UKIP<br>392</td>
</tr>
<tr>
<td>Trivedi, Ashvankumar</td>
<td>INLAB<br>286</td>
<td>Lauder-Atkins, Madeleine C. Ms.</td>
<td>GRE<br>379</td>
</tr>
<tr>
<td>Patel, Smita Ms.</td>
<td>INLAB<br>250</td>
<td>Webster, Helen Ms.</td>
<td>LD<br>256</td>
</tr>
<tr>
<td>James, Abraham</td>
<td>INLAB<br>226</td>
<td>Budden, Peter D.</td>
<td>LD<br>202</td>
</tr>
<tr style="border-top: none;">
<th><strong>Canons No change</strong></th>
<th><strong>T urnout 37.2%</strong></th>
<th></th>
<th></th>
</tr>
<tr style="border-top: none;">
<th>Jogia, Ameet<br>Moshenson, Amir *</th>
<th>CON<br>2,082</th>
<th>Mirza, Kamal<br>Cureshi, Imran I.</th>
<th>iNLAB<br>179<br>iNLAB<br>169</th>
</tr>
<tr style="border-top: none;">
<th><strong>Thakker, Bharat G.</strong></th>
<th><strong>CON<br>2,045 </strong></th>
<th><strong>Harrow on the Hill Turnout 39.0%</strong></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/></tr><tr style="border-top: none;">
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Bluston, Howard
LAB
LAb
Bluston, Howard
LAB
LAb
Bluston, Howard
LAB
LAb
Bluston, Howard
LAB
LAb
Bluston, Howard
LAB
LAb
Bluston, Howard
LAB
LAb
Raval, Anjali
LAB
LAb
Raval, Anjali
LAB
LAb
Raval, Anjali
LAB
LAb
Raval, Anjali
LAB
LAb
Dayanamaby Yogalingam
LAB
LAb
Dayanamaby Yogalingam
LAB
LAb
Dayanamaby Yogalingam
LAB
LAb
Berman, Jack
LD
ABD
Berman, Jack
LD
ABD
Bharia, Natoo Ms.
LD
ABD
Bharia, Natoo Ms.
LD
ABD
Edgware No change
Turnout 39.4%
Parekh, Nitin
LAB
LAb
Kendler, Barry
Amadi, Maria Ms.
Halaj, Sima Ms.
Chaplin, Marcus A. R.
Dhalla, Akil T.
Patel, Meghal Ms.
Asante-Twumasi,
Elizabeth N. Ms. *
Revill, Terence
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
CON
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<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">No change Greek, Stephen A. J.*<br>Patel, Pritesh<br>Chauhan, Ramji*</table>
<table border="0" cellpadding="0" cellspacing="0">
<thead style="background-color: #f0f0f...
<page_number>80</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Harrow
<table>
<thead>
<tr>
<td>Hatch End</td>
<td>Turnout 39.5%</td>
<td>Kenton East</td>
<td>Turnout 44.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Hall, Susan M. Ms.*</td>
<td>CON<br>2,014</td>
<td>Dattani, Niraj<br>LAB<br>1,695</td>
<td>LAB<br>1,695</td>
</tr>
<tr>
<td>Hinkley, John S. H.</td>
<td>CON<br>1,697</td>
<td>Shah, Aneka Ms.<br>LAB<br>1,561</td>
<td></td>
</tr>
<tr>
<td>Lammiman, Jean Ms.*</td>
<td>CON<br>1,696</td>
<td>Green, Mitzi Ms.*<br>LAB<br>1,550</td>
<td></td>
</tr>
<tr>
<td>Juthani, Samir</td>
<td>LAB<br>909</td>
<td>Patel, Anjana Ms.<br>CON<br>1,310</td>
<td></td>
</tr>
<tr>
<td>Lloyd, Matthew</td>
<td>LAB<br>851</td>
<td>Parmar, Mandula Ms.<br>CON<br>1,200</td>
<td></td>
</tr>
<tr>
<td>Stephenson, Bill</td>
<td>LAB<br>796</td>
<td>Amin, Vaumini Ms.<br>CON<br>1,178</td>
<td></td>
</tr>
<tr>
<td>Sheinwald, Stanley*</td>
<td>UKIP<br>609</td>
<td>James, Krishna Ms.<br>INLAB<br>534</td>
<td></td>
</tr>
<tr>
<td>Nandhra, Bhupinder K. Ms.</td>
<td>LD<br>321</td>
<td>Raja, Bhavesh<br>INLAB<br>459</td>
<td></td>
</tr>
<tr>
<td>Ley, Brian J.</td>
<td>INLAB<br>159</td>
<td>Zeid, Jeremy S.<br>UKIP<br>453</td>
<td></td>
</tr>
<tr>
<td></td><td></td><td>Panwar, Sawitri<br>INLAB<br>377</td><td></td>
</tr>
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<thead>
<tr><th colspan="2">Headstone North</th><th colspan="2">Turnout 46.0%</th></tr><tr><th colspan="2">1 IND gain from CON</th><th colspan="2">Kenton West Turnout 42.5%</th></tr><tr><th>Bond, James A.*</th><th>IND<br>2,047</th><th>No change</th><th></th></tr><tr><th>Weston, Georgia L. Ms.</th><th>IND<br>1,356</th><th>Mithani, Vina V. Ms.*<br>CON<br>1,686</th><th></th></tr><tr><th>Mote, Janet T. Ms.*<br>Baxter, Christopher J.</th><th>CON<br>1,224<br>1,148</th><th>Maru, Ajay*<br>LAB<br>1,678</th><th></th></tr><tr><th>Seymour, Anthony H.*<br>Cox, Oenione J. Ms.</th><th>CON<br>980<br>LAB<br>776<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD<br>LAD</th><th></th></tr><tr><th rowspan="2">Anderson, Keir Mark, Roger Murray, Anthony J.</th><th rowspan="2">LAB LAB UKIP LD INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLAB INLab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Labelab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab labelablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelablabelab<label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=label ab=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=la b=l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a l a
<table border="1">
<thead>
<tr><th colspan="2">Headstone South No change Turnout 40.7% Marlborough Turnout 37.3%</th></tr><tr><th>Brown, Simon Fitzpatrick, Pamela Ms. Suresh, Sasikala Ms.* Thomas, Christine M. Ms. Raja, Prakash C. Seedher, Pravin K. Omar, Asad* Ahmad, Dushka Ms. Beynon, Rosemarie L. Barks, David J. Allie, James B. Gardiner, Simon J.</th><th>Perry*, David* Parmar, Varsha Ms.* Weiss, Antonio Dawkins, Coral D. Ms. Kaplan, Mathilde Ms. Musongela, Joel Mathias Lawrence J. Khanam Rehana Ms. Sultanai Noor M. James Virginie P. S. Ms. Iqbal Asif LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDLDDD
<table border="1">
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<tr><th colspan="2">No change Turnout 39.5%</table border="1">
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>81</page_number>
<table>
<thead>
<tr>
<td>Pinner No change</td>
<td>Turnout 40.1%</td>
<td>Rayners Lane 1 LAB gain from CON</td>
<td>Turnout 46.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Stevenson, Norman S.</td>
<td>CON 1,734</td>
<td>Suresh, Krishna*</td>
<td>LAB 1,448</td>
</tr>
<tr>
<td>Wright, Stephen J. L.*</td>
<td>CON 1,725</td>
<td>Anderson, Jeff</td>
<td>LAB 1,272</td>
</tr>
<tr>
<td>Osborn, Paul S.*</td>
<td>CON 1,678</td>
<td>Noyce, Christopher D. *</td>
<td>LD 1,217</td>
</tr>
<tr>
<td>Gallant, Jeffrey</td>
<td>LAB 820</td>
<td>Fields, Owen</td>
<td>LAB 1,174</td>
</tr>
<tr>
<td>Oelman, Timothy</td>
<td>LAB 771</td>
<td>Nickolay, Joyce Ms.*</td>
<td>CON 1,112</td>
</tr>
<tr>
<td>Kaya, Ertsugul</td>
<td>LAB 663</td>
<td>Nickolay, John</td>
<td>CON 1,060</td>
</tr>
<tr>
<td>Kowalczyk, Zbigiew G.</td>
<td>UKIP 474</td>
<td>Lewinson, Lesline P. Ms.</td>
<td>CON 859</td>
</tr>
<tr>
<td>Pillai, Bernadette N. K. Ms.</td>
<td>GRE 462</td>
<td>Nandhra, Prakash K. Ms.</td>
<td>LD 787</td>
</tr>
<tr>
<td>Chamberlain, Veronica M. Ms.</td>
<td>LD 417</td>
<td>Edwards, Matthew T. T.</td>
<td>LD 750</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Pinner South No change</td>
<td>Turnout 41.3%</td>
<td>Crossman, Herbert W.</td>
<td>UKIP 408</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Almond, Richard J.</td>
<td>CON 1,889</td>
<td>Muthukumar, Ratneswary</td>
<td>iNLAB 406</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Mote, Charles C.*</td>
<td>CON 1,751</td>
<td>Pathmanathan, Vaithilingam</td>
<td>iNLAB 402</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Chana, Kamaljit S.*</td>
<td>CON 1,659</td>
<td>Langley, Rowan N. C.</td>
<td>GRE 271</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Massey, Jane Ms.</td>
<td>LAB 1,062</td>
<td>Khalid, Saifullah</td>
<td>iNLAB 264</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Young, Benjamin</td>
<td>LAB 1,007</td>
<td>Roxbourne No change</td><td></td></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Queensbury No change Turnout 42.3%</th><th></th></tr><tr style="background-color: #f0f0f0;">
<th>Borio, Michael LAB<br>Sahin*, Shah<br>Ramchandani, Kiran Ms.</th><th colspan="3">Dixon, Stephen R.<br>Dharmarajah, Mano*<br>Mote, Alessandro K. H.<br>Sonderskov, Rasmus J.</th></tr><tr style="background-color: #f0f0f0;">
<th>Mistri, Bharat LAB<br>Mendes, Peter F. CON<br>Raja, Panna Ms. CON<br>Karia, Sanjay INLAB<br>Ismail, Nizam A. * INLAB<br>James, Trevor I. INLAB<br>Celaschi, Dario P. GRE<br>Cox, Laurence J. LD<br></th><th colspan="3">Jobanputra; Nilesh<br>Khokher; Sajid N.<br>Amathurasan; Marshel<br>Knight; John W.<br>Davine; Margaret Ms.<br>Miles; Jeremy*<br>Patel; Primesh<br>Baxter; John P.<br>Idaikadar; Thayapara*<br>Kaiserimam; Mohammad A.<br>Solanki; Dinesh B.<br>Khalid; Zarina Ms.<br>Mukhal; Sukhvider S.</th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Roxeth No change LAB<br>No change LAB<br>Miles; Jeremy* LAB<br>Patel; Primesh LAB<br>Baxter; John P. CON<br>Idaikadar; Thayapara* iNLAB<br>Kaiserimam; Mohammad A. CON<br>Solanki; Dinesh B. CON<br>Khalid; Zarina Ms. iNLAB<br>Mukhal; Sukhvider S. iNLAB<br></th><th></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Turnout 39.8%</th><th></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Currie, Robert*</th><th>LAB 1,921</th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Henson, Graham*</th><th>LAB 1,802</th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Dooley, Josephine Ms.</th><th>LAB 1,689</th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Dixon; Stephen R.<br>Dharmarajah; Mano*<br>Mote; Alessandro K. H.<br>Sonderskov; Rasmus J.</th><th>iNLAB 778 CON 743 CON 640 iNLAB 540 iNLAB 498 LD 353 LD 278 iNLAB 668 iNLAB 668 CON 952 iNLAB 791 CON 786 CON 734 iNLAB 668 iNLAB 668 LAB 1,705 LAB 1,647 LAB 1,451 LAB </th></tr></tbody></table>
<img>Harrow logo (a stylized 'H' with a crown on top)</img>
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<img>Harrow logo (a stylized 'H' with a crown on top)</img>
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<img>Harrow logo (a stylized 'H' with a crown on top)</img>
<img>Harrow logo (a stylized 'H' with a crown on top)</img>
<img>Harrow logo (a stylized 'H' with a crown on top)</img>
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<page_number>82</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Harrow**
<table>
<thead>
<tr>
<td>Stammore Park</td>
<td>Turnout 37.1%</td>
<td>West Harrow</td>
<td>Turnout 43.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Bath, Camilla M. A. Ms.*</td>
<td>CON<br>2,071</td>
<td>Robson, Christine Ms.*<br>LAB<br>1,462</td>
</tr>
<tr>
<td>Ashton, Marilyn J. Ms.*</td>
<td>CON<br>2,030</td>
<td>Marikar, Kairul'<br>LAB<br>1,392</td>
</tr>
<tr>
<td>Bednall, Christine A. Ms.*</td>
<td>CON<br>1,946</td>
<td>Swersky, Adam<br>LAB<br>1,276</td>
</tr>
<tr>
<td>Selby, Ernest</td>
<td>LAB<br>779</td>
<td>Merson, Julia S. Ms.<br>CON<br>1,202</td>
</tr>
<tr>
<td>Stackpoole, Laura Ms.</td>
<td>LAB<br>734</td>
<td>Kuha-Kumaran<br>LAB<br>INLAB<br>192</td>
</tr>
<tr>
<td>Stackpoole, Lesley Ms.</td>
<td>LAB<br>635</td>
<td>Kanagasubramanian<br>CON<br>1,143</td>
</tr>
<tr>
<td>Vincelli, Victor</td>
<td>UKIP<br>421</td>
<td>Rennie, John B.<br>CON<br>1,104</td>
</tr>
<tr>
<td>Robinson, Linda C. Ms.</td>
<td>IND<br>311</td>
<td>Jackson, Barry<br>IND<br>443</td>
</tr>
<tr>
<td>Wealdstone</td>
<td>Turnout 38.2%</td>
<td></td>
<td></td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>O'Dell, Phillip*</td>
<td>LAB<br>1,416</td>
<td>Sembukutti Arachchige, Sudeesh M.<br>LAB<br>InLAB<br>192</td>
</tr>
<tr>
<td>Sahh, Rajeshri Ms.*<br>Dell'</td>
<td>LAB<br>1,383</td>
<td>Jayawardane, Hapuarachchihege A.<br>LAB<br>InLAB<br>186</td>
</tr>
<tr>
<td>Whitehead, Anne</td>
<td>LAB<br>1,290</td>
<td>Branch, John S. W.<br>LD<br>173</td>
</tr>
<tr>
<td>Ashton, David J.</td>
<td>CON<br>755</td>
<td></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br><table cellspacing="0" cellpadding="0"><tbody><tr><th colspan="2">By-elections</th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></than td=""></tr><tr class='header_bottom_margin'><span style='font-size: small;'>Canons OJ June 2011 No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change Nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange nochange oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj June oj Jun e j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i
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M M M M M M M M M N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN NN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMN NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR NR 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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>83</page_number>
**Havering**
No overall control
| | | | | |
|---|---|---|---|---|
| **1** Brooklands | **11** Mawneys | | | |
| **2** Canham | **12** Petts Wood | | | |
| **3** Elm Park | **13** Rainham and Rainham Town | | | |
| **4** Emerson Park | **14** Wernington Romford Town | | | |
| **5** Gooshays | **15** South Hornchurch | | | |
| **6** Hacton | **16** Southend-on-Sea's Heath | | | |
| **7** Harold Wood | **17** St. Andrew's Church | | | |
| **8** Havering Park | **18** Upminster | | | |
| **9** Heaton | Hylands | | | |
Conservative
Conservative/UKIP
Residents' Association
Rainham & Wernington Independent Residents Group
UK Independence Party
UKIP/Labour
UKIP/Residents Association
Conservative/Residents Association
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% share of the poll, 1964-2014</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>22</td>
<td>1 -</td>
<td>31</td>
<td>54</td>
<td>22.5.14</td>
<td>43.1</td>
<td>23.1</td>
<td>13.7</td>
<td>1.9</td>
<td>61.3</td>
</tr>
<tr>
<td>6.5.10</td>
<td>33</td>
<td>5 -</td>
<td>16</td>
<td>54</td>
<td>6.5.10</td>
<td>66.0</td>
<td>36.6</td>
<td>18.5</td>
<td>2.5</td>
<td>42.5</td>
</tr>
<tr>
<td>4.5.06</td>
<td>34</td>
<td>2 -</td>
<td>17</td>
<td>54</td>
<td>4.5.06</td>
<td>39.5</td>
<td>37.3</td>
<td>15.3</td>
<td>2.4</td>
<td>45.1</td>
</tr>
<tr>
<td>2.5.02</td>
<td>26</td>
<td>9 -</td>
<td>18</td>
<td>54</td>
<td>2.5.02</td>
<td>45.0</td>
<td>37.7</td>
<td>24.9</td>
<td>5.3</td>
<td>32.1</td>
</tr>
<tr>
<td>7.5.98</td>
<td>14</td>
<td>29 -</td>
<td>3 -</td>
<td>17</td>
<td>7.5.98</td>
<td>34.3</td>
<td>28.7</td>
<td>35.5</td>
<td>5.7</td>
<td>30.1</td>
</tr>
<tr>
<td>5.5.94</td>
<td>11 -<br/>31 -<br/>4 -<br/>7 -<br/>17 -<br/>63 -<br/>55.94 -<br/>45.9 -<br/>42.0 -<br/>11.6 -<br/>19.0 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77 -<br/>88 -<br/>77<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><table>
<tr>
<th colspan="2">General statistics<br/><hr/></th>
<th>Havering<br/><hr/></th>
<th>London<br/><hr/></th>
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<th colspan="2" style=""></table></tr><tr><td>Electorate<br/><hr/></table></tr><tr><table><tbody><tr><td style="">May 2014<br/><hr/></table></tr><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr><table><tbody><tr style=""><span style="">May 10, 00:00:00 GMT+00:00<br/></span></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table>$\text{May}~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$~$^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~ $^{\text{May}~~}$~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~ ~~~~~~~~~ <span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end{tabular}<span style="">\begin{tabular}{l}\end{tabular}</span>$\begin{array}{l}\end{array}$\begin{tabular}{l}\end {tablumd}> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.' /> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div> <div class='image'> <img src='https://www.london.gov.uk/sites/default/files/images/parliamentary_elections_uk_illustration.png' alt='Illustration showing the electoral wards of Havering and London.'/> </div></p><p><strong>Havering:</strong><br /><strong>No overall control.</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong><br /><strong>©</strong>>&p>
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```html
<table border=1 width=1% height=1% style=text-align:center;">
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```html
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```
<html lang=en-US xml:lang=en xmlns:dc="http://purl.org/dc/terms"
xmlns:dcterms="http://purl.org/dc/dcmitype/dataset"
xmlns:rdf="http://www.w3.org/1999/Jan&hellip;
```
<html lang=en-US xml:lang=en xmlns:dc="http://purl.org/dc/terms"
xmlns:dcterms="http://purl.org/dc/dcmitype/dataset"
xmlns:rdf="http://www.w3.org/...
84
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Havering</td>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="13">Brooklands</td>
</tr>
<tr>
<td></td>
<td></td>
<td>22.5.14</td>
<td>39.8</td>
<td>33.8</td>
<td>22.6</td>
<td>3.5</td>
<td>--</td>
<td>--</td>
<td>29.5</td>
<td>5.0</td>
<td>5.6</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>59.9</td>
<td>49.2</td>
<td>31.1</td>
<td>19.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Cranham</td>
<td></td>
<td>22.5.14</td>
<td>47.5</td>
<td>15.0</td>
<td>6.1</td>
<td>--</td>
<td><u>6.0</u></td>
<td>--</td>
<td><u>17.7</u></td>
<td>--</td>
<td><u>55.2</u></td>
<td>--</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>74.8</td>
<td>27.1</td>
<td>7.4</td>
<td>--</td>
<td>5.3</td>
<td>--</td>
<td>6.2</td>
<td>1.2</td>
<td>52.7</td>
<td>--</td>
</tr>
<tr>
<td>Elm Park</td>
<td></td>
<td>22.5.14</td>
<td>44.1</td>
<td>12.6</td>
<td><u>14.5</u></td>
<td><u>1.6</u></td>
<td><u>4.3</u></td>
<td>--<u>3.2 </u></td>
<td><u>- 27.3 </u></td>
<td>--<u>- 38.9 </u></td>
<td><u>- 0.7 </u></td>
<td>--<u>- 13.9 </u></td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>68.2</td>
<td>33.7</td>
<td>25.9</td>
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<a href="#table_caption" id="table_caption"><span style="font-size: large;">Havering - % share of the poll (May 2014)</span></a>
<table border="1">
<thead><tr><th>Date (%)<br/>Polling Date (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th></tr></thead><tbody><tr><th colspan="13">Gooshays (May 2014)</th></tr><tr><th>Date (%)<br/>Polling Date (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th></tr><tr><td rowspan="3">Heaton (May 2014)</td><td rowspan="3">Heaton (May 2014) <br/></td><td rowspan="3">Heaton (May 2014) <br/></tbody></tr><tr><th colspan="3"></th></tr><tr><table border="1">
<thead><tr><th>Date (%)<br/>Polling Date (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th><th>%<br/>Share of the Poll (May 2014)</th></tr></thead><tbody><tr><table border="1">
<thead><tr><<th>Date (%)<br/>Polling Date (May 2014)</th><thead colspan="3"><tr class="header_bottom_margin"><span style="font-weight: bold;">Date (%) <br/></span>(% <span style="font-weight: bold;">Polling Date May 2014) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%) <span style="font-weight: bold;">%)
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>85</page_number>
**Results**
<table>
<thead>
<tr>
<td colspan="3">Havering</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Brooklands</strong></td>
<td><strong>Turnout 39.8%</strong></td>
<td><strong>Emerson Park</strong></td>
<td><strong>Turnout 45.7%</strong></td>
</tr>
<tr>
<td><em>No change</em></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Benham, Robert M. J. *</td>
<td><strong>CON</strong></td>
<td><strong>1,758</strong></td>
<td><strong>Ramsey, Roger E. *</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,661</strong></td>
</tr>
<tr>
<td>Persaud, Vidyotama</td>
<td><strong>CON</strong></td>
<td><strong>1,620</strong></td>
<td><strong>Kelly, Steven J. *</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,499</strong></td>
</tr>
<tr>
<td>Westwood, Roger S.</td>
<td><strong>CON</strong></td>
<td><strong>1,545</strong></td>
<td><strong>Glanville, John A.</strong></td>
<td><strong>UKIP</strong></td>
<td><strong>1,450</strong></td>
</tr>
<tr>
<td>Connelly, Neil S.</td>
<td>UKIP</td>
<td>1,469</td>
<td>Rochford, Paul N. *</td>
<td>CON</td>
<td>1,414</td>
</tr>
<tr>
<td>Humphries, Herbert A.</td>
<td>UKIP</td>
<td>1,413</td>
<td>Eagling, Irene L. Ms.</td>
<td>REA</td>
<td>1,408</td>
</tr>
<tr>
<td>Osborne, Frederick A. *</td>
<td>UKIP</td>
<td>1,413</td>
<td>Garrard, Laurance R.</td>
<td>REA</td>
<td>1,364</td>
</tr>
<tr>
<td>Mahan, Eamon M.</td>
<td>LAB</td>
<td>1,147</td>
<td>Wilkins, Christopher W.</td>
<td>REA</td>
<td>1,159</td>
</tr>
<tr>
<td>Gould, Samuel C.</td>
<td>LAB</td>
<td>1,121</td>
<td>Bramley, Graham J.</td>
<td>LAB</td>
<td>482</td>
</tr>
<tr>
<td>White, Herbert P.</td>
<td>LAB</td>
<td>1,019</td>
<td>Purnell, Christopher W.</td>
<td>LAB</td>
<td>425</td>
</tr>
<tr>
<td>Smith, Derek L.</td>
<td>REA</td>
<td>273</td>
<td>Hughes, Terence T.</td>
<td>LAB</td>
<td>405</td>
</tr>
<tr>
<td>Sandhu-Nelson, Gaggandip Ms.</td>
<td>IND</td>
<td>245</td>
<td>Ancell, Carina L. Ms.</td>
<td>GRE</td>
<td>313</td>
</tr>
<tr>
<td>Kruzycka, Karen H. Ms.</td>
<td>LD</td>
<td>171</td>
<td>Potter, Graham R.</td>
<td>LD</td>
<td>89</td>
</tr>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th rowspan="2"><em>Cranham No change 3 UKIP gains from CON 3 UKIP gains from CON 1 from LAB Gooshays Turnout 47.5% Turnout 36.4%</em></th>
<th rowspan="2"><em>Alexander, June M. Ms. * REA Johnson, David REA UKIP Ford, Gillian Ms. * REA Webb, Lawrence J. * REA UKIP Barrett, Clarence C. * REA Rumble, Patricia A. Ms. REA UKIP O'Neill, Mark G. UKIP Murray, Patrick T. *</em></th>
<th rowspan="2"><em>Freed, Pamela A. Ms. CON Mcgeary, Christine A. Ms. LAB LAB Hitchchin, Lisa J. Ms. LAB Stafford, Jeffery G. LAB Chalk, Patrick W. LAB Llewellyn-Rothschild, Marcus C. S.COIN GRE Wells, Keith F.* CON Caton, Peter 343 Evans, Keith W. CON McKernan, John LAB Elliott, Adam F. REA Wise, Lucia Q. BNP Underwood, Raymond D. Porter, John C. LD 247 106 257 280 608 614 803 942 621 679 616 535 424 413 374 271 77 </em></th>
<th rowspan="2"><em>Mugglestone, Barry REA Hacton Turnout 44.1% Turnout 46.6%</em></th>
<th rowspan="2"><em>Nunn, Stephanie Ms. REA Wilkes, Julie L. Ms. REA Litwin, Craig J. UKIP No change Morgan, Raymond P.* REA Dodin, Louis N.* REA Matthews, Barbara Ms.* REA UKIP Carr, Graham M. LAB Gamett, Jeffrey C. COIN James, Ian Edes, Ruth Ms. CON Oddy, Barry J.* CON Perry, Carol A. Ms. CON Crouch, Graham J. REA Mustoo, Terence G. CON Green, James M. REA Moreno-Roberts, Natasha Ms. LAB Bunprakobt Areekul REA Earley, Sinead Ms. LAB Haines, Gerald L. GRE Jiggins, Susan A. Ms. LAB Willmer Andrew LD Beesley, David J GRE Rádoi Denisse-Oana Ms. EP Brewington, Susan R. Ms.</em></th>
<th rowspan="2"><em>Morgan: Raymond P.* REA Dodin: Louis N.* REA Matthews: Barbara Ms.* REA UKIP Edes: Ruth Ms.* COIN Perry: Carol A.Ms.* CON Mustoo: Terence G.* CON Moreno-Roberts: Natasha Ms.* LAB Earley: Sinead Ms.* LAB Jiggins: Susan A.Ms.* LAB Beesley: David J.GRE Brewington: Susan R.Ms.* LD 270 257 280 608 679 616 535 424 413 374 271 77 </em></th>
<th rowspan="2"><em>No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change NochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochangeNochengeoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheoacheocheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahecheahechea 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<img>A table showing results for London Borough Council elections in May 2014.</img>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th rowspan="2"><em>Cranham - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - no changes - nochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochangesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnochargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon chargesnon charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge non charge nonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangesnonghangles nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo nongo ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngoh ngohngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngngg gggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh ghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghg
<img>A table showing results for London Borough Council elections in May 2014.</img>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th rowspan="2"><em>Cranham:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</em></th>
<th rowspan="2"><em>No Change:</e m=""><br/></table
<page_number>86</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Havering**
<table>
<thead>
<tr>
<td>Harold Wood<br>2 REA gains from CON</td>
<td>Turnout 45.7%</td>
<td>Hylands<br>1 REA gain from CON</td>
<td>Turnout 44.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Eagling, Brian E.*<br>WISE, Darren C.</td>
<td>REA<br>2,736<br>2,294</td>
<td>Pain, Garry L.<br>Ganty, Jody M. Ms.</td>
<td>CON<br>1,596<br>1,553</td>
</tr>
<tr>
<td>Donald, Alexander M.</td>
<td>REA<br>2,221</td>
<td>Smith, Carol M. Ms.</td>
<td>CON<br>1,542</td>
</tr>
<tr>
<td>Thurtle, John W.</td>
<td>UKIP<br>1,140</td>
<td>Smith, Christine Ms.</td>
<td>CON<br>1,449</td>
</tr>
<tr>
<td>Kelly, Lesley S. Ms.*<br>Light, Pamela M. Ms.*<br>Perry, Robert J.</td>
<td>CON<br>854<br>723<br>661</td>
<td>Wilkes, Jeremy P. E.<br>Hall, Neil A.<br>Moss, Lorraine Ms.</td>
<td>REA<br>1,356<br>1,346<br>1,287</td>
</tr>
<tr>
<td>Mcgeary, Siobhan A. Ms.</td>
<td>LAB<br>436</td>
<td>Gardner, Peter C.*<br></td>
<td>UKIP<br>1,263</td>
</tr>
<tr>
<td>Hitchin, Michael P.</td>
<td>LAB<br>415</td>
<td>Mcinerney, Amanda H. Ms.</td>
<td>LAB<br>440</td>
</tr>
<tr>
<td>Singhateh, Bakary</td>
<td>LAB<br>346</td>
<td>White, Penelope A. Ms.*<br>Murphy, William</td>
<td>LAB<br>422</td>
</tr>
<tr>
<td>Coles, Jonathan W. A.</td>
<td>LD<br>202</td>
<td></td>
<td>LAB<br>410</td>
</tr>
<tr>
<td>Sanderson, Ian V.</td>
<td>LD<br>118</td>
<td>Voak, David J.</td>
<td>GRE<br>285</td>
</tr>
<tr>
<td>Williams, David C.</td>
<td>LD<br>82</td>
<td>Snell, James R.</td>
<td>LD<br>68</td>
</tr>
<table border="1">
<thead><tr><th>Havering Park No change</th><th>No change Turnout 42.0%</th><th>Mawneys No change Turnout 43.7%</th></tr></thead><tbody><tr><th>Davis, Margaret Ms.</th><th style="text-align: right;">CON<br style="color: #000;">1,787</th><th style="text-align: right;">Frost, Jason D.<br style="color: #000;">CON<br style="color: #000;">2,028</th></tr><tr><th style="text-align: left;">Best, Raymond A.</th><th style="text-align: right;">CON<br style="color: #000;">1,699</th><th style="text-align: right;">Trew, Linda A. Ms.*<br style="color: #000;">CON<br style="color: #000;">1,952</th></tr><tr><th style="text-align: left;">Crowder, John E.</th><th style="text-align: right;">CON<br style="color: #000;">1,635</th><th style="text-align: right;">Patel, Dilip<br style="color: #000;">CON<br style="color: #000;">1,771</th></tr><tr><th style="text-align: left;">Binion, Sandra Ms.*<br style="color: #000;">UKIP<br style="color: #000;">Battershall, Ralph L.</th><th style="text-align: right;">1,527</th><th style="text-align: right;">LAB<br style="color: #000;">LAB<br style="color: #000;">827</th></tr><tr><th style="text-align: left;">Wilson, Andrew W.</th><th style="text-align: right;">UKIP<br style="color: #000;">1,493</th><th style="text-align: right;">Nichols, Daniel A.<br style="color: #000;">LAB<br style="color: #000;">799</th></tr><tr><th style="text-align: left;">Martin, Edward A. J.</th><th style="text-align: right;">UKIP<br style="color: #000;">1,421</th><th style="text-align: right;">Agunbiade, Michael A.<br style="color: #000;">LAB<br style="color: #000;">703</th></tr><tr><th style="text-align: left;">Adams, Emma J. Ms.</th><th style="text-align: right;">LAB<br style="color: #000;">656</th><th style="text-align: right;">Mott, Stewart A.<br style="color: #000;">LD<br style="color: #000;">190</th></tr><tr><th style="text-align: left;">Dawson, David R. A.</th><th style="text-align: right;">LAB<br style="color: #000;">577</th><th></th></tr><tr><th>Mcinerney, Peter J.</th><th style="text-align: right;">LAB<br style="color: #000;">533</th><th>Pettits No change Turnout 49.5%</th></tr><tr><th>Steranka, Joanna S. Ms.</th><th style="text-align: right;">GRE<br style="color: #000;">149</th><th></th></tr><tr><th>Spence, Peter B.</th><th style="text-align: right;">LD<br style="color: #000;">90</th><th>Crowder, Philippa Ms.<br style="color: #000;">CON<br style="color: #000;">2,102</th></tr>
<table border="1">
<thead><tr><th>Havering Heaton Turnout 37.2%</th></tr></thead><tbody><tr><th rowspan='2'>Hyde Philip J.<br>Du Wulverton Ian Darvill Keith E.*<br>O'Flynn Denis R.<br>Birch Keith G. J.*<br>Tebbutt Henry A.<br>Vilkes Ian H.<br>Sutton Matthew J.<br>Layzell Kevin H.</th></tr>
<tr>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>87</page_number>
<table>
<thead>
<tr>
<td>Rainham and Wennington</td>
<td>Turnout 38.7%</td>
<td>South Hornchurch</td>
<td>Turnout 37.6%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td>1 UKIP gain from CON, 1 REA gain from LAB</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Tucker, Jeffrey</td>
<td>REA<br>1,982</td>
<td>Deon-Burton, Michael<br>UKIP<br>1,738</td>
<td></td>
</tr>
<tr>
<td>Durant, David W.</td>
<td>REA<br>1,395</td>
<td>Martin, Philip G.<br>REA<br>1,500</td>
<td></td>
</tr>
<tr>
<td>Roberts, Keith A.</td>
<td>REA<br>1,390</td>
<td>Williamson, Graham K.<br>REA<br>1,336</td>
<td></td>
</tr>
<tr>
<td>Smith, Michael S.</td>
<td>UKIP<br>1,284</td>
<td>Logan, Mark<br>REA<br>1,264</td>
<td></td>
</tr>
<tr>
<td>Ellis, Anthony J.</td>
<td>LAB<br>973</td>
<td>Brown, Patricia M. Ms.<br>LAB<br>870</td>
<td></td>
</tr>
<tr>
<td>Vickers, Alan J.</td>
<td>LAB<br>752</td>
<td>Badrudin, Peverz<br>LAB<br>867</td>
<td></td>
</tr>
<tr>
<td>Earley, Martin F.</td>
<td>LAB<br>698</td>
<td>Freeman, Christopher L.<br>LAB<br>710</td>
<td></td>
</tr>
<tr>
<td>Camilleri, Ruth Ms.</td>
<td>CON<br>350</td>
<td>Clark, Patricia A T. Ms.<br>CON<br>567</td>
<td></td>
</tr>
<tr>
<td>Oddy, Bernadette A. Ms.</td>
<td>CON<br>300</td>
<td>Camilleri, Warren S.<br>CON<br>468</td>
<td></td>
</tr>
<tr>
<td>Farquhar, Stuart R.</td>
<td>CON<br>263</td>
<td>Oddy, Tammy K. Ms.<br>CON<br>296</td>
<td></td>
</tr>
<tr>
<td>Paterlini-Phillips, Maria J. Ms.</td>
<td>GRE<br>206</td>
<td>Phillips, Kuan W.<br>GRE<br>275</td>
<td></td>
</tr>
<table border="1">
<thead><tr><th>Romford Town No change Turnout 40.5%</th><th>Squirrel's Heath No change Turnout 44.6%</th></tr></thead><tbody><tr><td colspan="2"></td></tr><tr><td colspan="2">Wallace, Melvin J. CON 2,147 White, Damian J. CON 2,057 White, Michael J.* CON 2,015 Thompson, Frederick H. V.* CON 1,299 Curtin, Andrew S.* IND 1,291 Whitby, Bradley UKIP 1,289 Brindley, Neil W. LAB 603 Yore, Michael P. LAB 564 Jaques, Stephen K. LAB 545 Haines, Amanda J. Ms. GRE 431 Deeks, John F. LD 401 Godwin, David REA 311 Mulliner, Madge V. Ms. GRE 255 St. Andrew's 1 REA gain from CON Turnout 42.9%</table>
<table border="1">
<thead><tr><th rowspan="2">Wood, John C.</th><th rowspan="2">REA<br>1,906</th><th rowspan="2">Upminster Turnout 49.3%</th></tr><tr><th colspan="2">No change</th></tr><tr><td>Mylod, John C.</td><td>REA<br>1,894</td><td>Hawthorn, Linda R. Ms.* REA 3,507 Ower, Ronald F. C.* REA 3,447</td></tr><tr><td>Whitney Reginald REA 1,572</td><td colspan="2">Van Den Hende, Linda J. Ms.* REA 3,204</td></tr><tr><td rowspan="2">Clark Julian L. V.</td><td rowspan="2">UKIP<br>1,570 CON 976</td><td colspan="2"></td></tr><tr><td>Brown, Malvin P.</td><td rowspan="2">UKIP 1,212 CON 673 CON 572 CON 465 LAB 364 GRE 338 LAB 298 LAB 223 LD 98</td></tr><tr><td rowspan="2">Brace; Malcolm T. J.</td><td rowspan="2">CON<br>976 LAB<br>575 LAB<br>568 LAB<br>462 GRE<br>312 LD<br>81 NLP<br>50 NLP<br>43 NLP<br>32 Grellman; Jonathan D.<br>NLP; Jonathan D.</td></tr><tr></tr><tr><td>Seppley; Edward Carr; Georgina M. Ms.</td><td rowspan="2">CON<br>867 LAB<br>575 LAB<br>568 LAB<br>462 GRE<br>312 LD<br>81 NLP<br>50 NLP<br>43 NLP<br>32 Grellman; Jonathan D.<br>NLP; Jonathan D.</td></tr><tr><td rowspan="2">Bramley; Barbara E. Ms.</td></tr><tr></tr><tr><td>Taffs; Keith I.</td><td>LAB<br>Ashworth; David L.<br>NLP; David L.</td></tr><tr><td>Gorzynska-Hart; Danuta Coles; Geoffrey J.</td><td rowspan="2">GRE<br>Gorzyńska-Hart; Danuta Grellman; Jonathan D.<br>NLP; Jonathan D.</td></tr><tr><td rowspan="2">Davidson; Graham N.</td></tr><tr></tr><tr><td>Littlechild; Graham V.</td></tr><tr><td>Marsden; Madelaine J. Ms.</td></tr></tbody></table>
<img>Description: Table showing results of London Borough Council elections in May 2014 for various wards and candidates.
The table includes turnout percentages and party affiliations for each candidate.
For example:
Rainham and Wennington (No change):
- Tucker: UKIP (Turnout: 1,982)
- Durant: REA (Turnout: 1,395)
- Roberts: REA (Turnout: 1,390)
- Smith: UKIP (Turnout: 1,284)
- Ellis: LAB (Turnout: 973)
- Vickers: LAB (Turnout: 752)
- Earley: LAB (Turnout: 698)
- Camilleri: CON (Turnout: 350)
- Oddy: CON (Turnout: 300)
- Farquhar: CON (Turnout: 263)
- Paterlini-Phillips: GRE (Turnout: 206)
- Coles: LD (Turnout: 74)
Romford Town:
- No change
- Brice-Thompson: CON (Turnout: 2,067)
- Chapman: CON (Turnout: 1,946)
- Thompson: CON (Turnout: 1,680)
- Curtin: IND (Turnout: 1,477)
- Whitby: UKIP (Turnout: 1,467)
- Brindley: LAB (Turnout: 1,118)
- Yore: LAB (Turnout: 945)
- Jaques: LAB (Turnout: 926)
- Haines: GRE (Turnout: 639)
- Deeks: LD (Turnout: 255)
St. Andrew's:
- Wood: REA (Turnout: 1,906)
- Mylod: REA (Turnout: 1,894)
- Whitney: REA (Turnout: 1,572)
Other wards:
- South Hornchurch:
- Deon-Burton
- Martin
- Williamson
- Logan
- Brown
- Badrudin
- Freeman
- Clark
- Camilleri
- Oddy
- Phillips
- Phillips
- Alexander
- Quinn
- Coomer
- Alexander
- Godwin
- Hughes
- Mulliner
Squirrel's Heath:
- Wallace
- White
- White
- Munday
- Thorpe of Mearns
- Walsh
- Brindley
- Macveigh
- Quinn
- Coomer
- Alexander
- Godwin
- Hughes
- Mulliner
St. Andrew's:
- Wood gain from CON
Note that the table shows results for various wards and candidates with their respective parties and turnout percentages.
The table also includes information about the number of seats won by each party in the election.
The table provides a comprehensive overview of the results of the London Borough Council elections in May 2014 for various wards and candidates.
The table includes turnout percentages and party affiliations for each candidate.
For example:
Rainham and Wennington (No change):
Tucker: UKIP (Turnout: 1,982)
Durant: REA (Turnout: 1,395)
Roberts: REA (Turnout: 1,390)
Smith: UKIP (Turnout: 1,284)
Ellis: LAB (Turnout: 973)
Vickers: LAB (Turnout: 752)
Earley: LAB (Turnout: 698)
Camilleri: CON (Turnout: 350)
Oddy: CON (Turnout: 300)
Farquhar: CON (Turnout: 263)
Paterlini-Phillips: GRE (Turnout: 206)
Coles: LD (Turnout: 74)
Romford Town:
No change
Brice-Thompson: CON (Turnout: 2,067)
Chapman: CON (Turnout: 1,946)
Thompson: CON (Turnout: 1,680)
Curtin Andrew S.: IND (Turnout: 1,477)
Whitby Bradley UKIP (Turnout: 1,467)
Brindley Neil W.: LAB (Turnout: 1,118)
Yore Michael P.: LAB (Turnout: 945)
Jaques Stephen K.: LAB (Turnout: 926)
Haines Amanda J.: GRE (Turnout: 639)
Deeks John F.: LD (Turnout: 255)
St. Andrew's:
Wood John C.: REA (Turnout: 1,906)
88 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Havering
By-elections
Gooshays
Turnout 20.6%
21 March 2013 UKIP gain from CON
Webb, Lawrence J. UKIP 831
McGeary, Christine A. Ms. LAB 569
Llewellyn-Rothschild, Marcus C. S. CON 280
Wise, Darren C. REA 227
Braun, Micky BNP 202
Brown, Malvin P. REA 24
Death of Bull, Dennis R. (CON)
<img>Havering by-election results table</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>89</page_number>
Hillingdon
Conservative administration
<img>
A map of Hillingdon showing the wards and their respective party affiliations.
The map is divided into several regions, each with a number indicating the ward name:
- Top left: Barnhill (1)
- Top middle: Botwell (2)
- Top right: Brundish (3)
- Middle left: Cavendish (4)
- Middle center: Charville (5)
- Middle right: Eastcote and East Hillingdon (6)
- Bottom left: Harefield (7)
- Bottom center: Heathrow Villages (8)
- Bottom right: Hillingdon East Ickenham (10)
- Bottom right corner: Reading Yiewsley (11)
The map is color-coded to show the party affiliation of each ward:
- Blue: Conservative
- Red: Labour
- Purple: Conservative/Labour
The numbers on the map correspond to the ward names listed above.
</img>
Conservative
Labour
Conservative/Labour
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>42</td>
<td>23</td>
<td>-</td>
<td>-</td>
<td>65</td>
<td>22.5.14</td>
<td>36.1</td>
<td>36.0</td>
<td>27.7</td>
<td>3.2</td>
<td>33.1</td>
</tr>
<tr>
<td>6.5.10</td>
<td>46</td>
<td>19</td>
<td>-</td>
<td>-</td>
<td>65</td>
<td>6.5.10</td>
<td>63.4</td>
<td>44.5</td>
<td>29.0</td>
<td>17.1</td>
<td>9.3</td>
</tr>
<tr>
<td>4.5.06</td>
<td>45</td>
<td>18</td>
<td>2</td>
<td>-</td>
<td>65</td>
<td>4.5.06</td>
<td>38.1</td>
<td>47.4</td>
<td>24.4</td>
<td>19.8</td>
<td>8.4</td>
</tr>
<tr>
<td>2.5.02</td>
<td>31</td>
<td>27</td>
<td>-</td>
<td>-</td>
<td>65</td>
<td>2.5.02</td>
<td>33.3</td>
<td>41.8</td>
<td>34.5</td>
<td>16.5</td>
<td>7.2</td>
</tr>
<tr>
<td>7.5.38</td>
<td>34</td>
<td>31</td>
<td>4</td>
<td>-</td>
<td>65</td>
<td>7.5.38</td>
<td>34.9</td>
<td>45.8%</td>
<td>-<br/>45.8%</br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br><page_number>Sidebar 1 of 2<page_number>Sidebar 2 of 2<page_number>Sidebar 3 of 2<page_number>Sidebar 4 of 2<page_number>Sidebar 5 of 2<page_number>Sidebar 6 of 2<page_number>Sidebar 7 of 2<page_number>Sidebar 8 of 2<page_number>Sidebar 9 of 2<page_number>Sidebar 10 of 2<page_number>Sidebar 11 of 2<page_number>Sidebar 12 of 2<page_number>Sidebar 13 of 2<page_number>Sidebar 14 of 2<page_number>Sidebar 15 of 2<page_number>Sidebar 16 of 2<page_number>Sidebar 17 of 2<page_number>Sidebar 18 of 2<page_number>Sidebar 19 of 2<page_number>Sidebar 20 of 2<page_number>Sidebar 21 of 2<page_number>Sidebar 22 of 2<page_number>Sidebar 23 of 2<page_number>Sidebar 24 of 2<page_number>Sidebar 25 of 2<page_number>Sidebar 26 of 2<page_number>Sidebar 27 of 2<page_number>Sidebar 28 of 2<page_number>Sidebar 29 of 2<page_number>Sidebar 30 of 2<page_number>Sidebar 31 of 2<page_number>Sidebar 32 of 2<page_number>Sidebar 33 of 2<page_number>Sidebar 34 of 2<page_number>Sidebar 35 of 2<page_number>Sidebar 36 of 2<page_number>Sidebar 37 of 2<page_number>Sidebar 38 of 2<page_number>Sidebar 39 of 2<page_number>Sidebar 40 of 2<page_number>Sidebar 41 of 2<page_number>Sidebar 42 of 2<page_number>Sidebar 43 of 2<page_number>Sidebar 44 of 2<page_number>Sidebar 45 of 2<page_number>Sidebar 46 of 2<page_number>Sidebar 47 of
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td colspan="13">% share of the poll</td>
</tr>
<tr>
<td>Hillingdon</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Barnhill</td>
<td>22.5.14</td>
<td>34.1</td>
<td>16.1</td>
<td>57.3</td>
<td>--</td>
<td>8.7</td>
<td>--</td>
<td>14.9</td>
<td>--</td>
<td>--</td>
<td>3.0</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>60.9</td>
<td>23.2</td>
<td>60.5</td>
<td>10.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>6.1</td>
</tr>
<tr>
<td>Botwell</td>
<td>22.5.14</td>
<td>32.1</td>
<td>12.3</td>
<td>56.6</td>
<td>--</td>
<td>8.3</td>
<td>--</td>
<td>18.7</td>
<td>--</td>
<td>--</td>
<td>4.1</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>59.8</td>
<td>30.1</td>
<td>56.6</td>
<td>13.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Brunel</td>
<td>22.5.14</td>
<td>29.4</td>
<td>36.0</td>
<td>24.1</td>
<td>2.6</td>
<td>11.0</td>
<td>--</td>
<td>22.1</td>
<td>--</td>
<td>--</td>
<td>4.2</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>52.2</td>
<td>46.1</td>
<td>28.5</td>
<td>18.8</td>
<td>6.5</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Cavendish</td>
<td>22.5.14</td>
<td>40.8</td>
<td>53.9</td>
<td>13.2</td>
<td>4.9</td>
<td>5.6<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th></tr></table>
<table>
<tr>
<th>Eastcote and East Ruislip </th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th>Eastfield </th>
<th>East Ruislip </th>
<th>Eastwood </th>
<th>Fairburn </th>
<th>Fairburn Village </th>
<th>Glenfield </th>
<th>Glenfield Village </th>
<th>Harefield </th>
<th>Hill End </th>
<th>Hill End Village </th>
<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillend village<hillen
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>91</page_number>
**Results**
<table>
<thead>
<tr>
<td>Barnhill</td>
<td>Turnout 34.1%</td>
<td>Cavendish</td>
<td>Turnout 40.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Dheer, Kanwal Ms.</td>
<td>LAB</td>
<td>2,106</td>
<td>Lavery, Eddie*</td>
<td>CON</td>
<td>2,175</td>
</tr>
<tr>
<td>Eginton, Tony</td>
<td>LAB</td>
<td>2,042</td>
<td>White, Michael R.*</td>
<td>CON</td>
<td>2,168</td>
</tr>
<tr>
<td>Singh, Jasjit</td>
<td>LAB</td>
<td>1,951</td>
<td>Barnes, Teji Ms.</td>
<td>CON</td>
<td>2,108</td>
</tr>
<tr>
<td>Fewkes, Gordon</td>
<td>CON</td>
<td>613</td>
<td>Osborne, Mark</td>
<td>UKIP</td>
<td>792</td>
</tr>
<tr>
<td>Heer, Sarwan S.</td>
<td>CON</td>
<td>560</td>
<td>Major, Lesley Ms.</td>
<td>LAB</td>
<td>734</td>
</tr>
<tr>
<td>O'Connor, Paul</td>
<td>CON</td>
<td>539</td>
<td>Major, John</td>
<td>LAB</td>
<td>439</td>
</tr>
<tr>
<td>Symons, Paul E.</td>
<td>UKIP</td>
<td>529</td>
<td>Oliver, Sarah A. Ms.</td>
<td>LAB</td>
<td>405</td>
</tr>
<tr>
<td>Purdam, John D.</td>
<td>GRE</td>
<td>308</td>
<td>Lee, Graham J.</td>
<td>GRE</td>
<td>320</td>
</tr>
<tr>
<td>Mcgill, Anthony M.</td>
<td>TUSC</td>
<td>108</td>
<td>Marshall, Alison C. Ms.</td>
<td>LD</td>
<td>231</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="4" style="text-align: center;">Botwell<br>No change<br><br></table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Gardner, Janet E. Ms.*<br>Khursheed, Mo*</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Austin, Paul F.<br>Bodyon-Jones, Caitlin Ms.</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Mckirdy, Cam<br>Smallwood, Chris<br>Smith, Geoff<br>Buck, Jason Z.</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Brunel<br>No change<br><br></table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Stead, Brian*<br>Mills, Richard J.*<br>Chamdal, Roy<br>Ryerson, Peter M.</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Brar, Jagjit K. Ms.<br>Atroshi, Laween<br>Courtenay, Geoff<br>Martin, Ben<br>Penny, Barry J.</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Avisi, Timothy P.<br>Purohit, Bhavinchandra S.<br>Purohit, Hetal B. Ms.</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>TUSC<br>LD<br>GRE<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Barnhill No change Cavendish Turnout 34.1% Turnout 40.8%</table>
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Dheer, Kanwal Ms.<br>Eginton, Tony Singh, Jasjit No change Lavery, Eddie* White, Michael R.* Barnes, Teji Ms.* CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con UKIP LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB Lab UKIP Tusc Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre Gre GreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreGreen Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green Green
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Fewkes, Gordon Heer, Sarvan S. O'Connor, Paul Symons, Paul E. Purdom, John D. Mcgill, Anthony M. Botwell No change Gardner, Janet E. Ms.* Khursheed, Mo* Jarusiusseh, Phoday D. * Austin, Paul F. Boydon-Jones, Caitlin Ms. Mckirdy, Cam Smallwood, Chris Smith, Geoff Buck, Jason Z. Brunel No change Stead, Brian* Mills, Richard J.* Chandal, Roy Ryerson, Peter M. Brar, Jagjit K. Ms. Atroshi, Laween Courtenay Geoff Martin Ben Penny Barry J. Avisi Timothy P. Purohit Bhavinchandra S. Purohit Hetal B. Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F. Boydon-Jones Caitlin Ms. Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z. Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Austin Paul F Boydon Jones Caitlin Ms Mckirdy Cam Smallwood Chris Smith Geoff Buck Jason Z Brunel Stead Brian Mills Richard J Chandal Roy Ryerson Peter M Brar Jagjit K Ms Atroshi Laween Courtenay Geoff Martin Ben Penny Barry J Avisi Timothy P Purohit Bhavinchandra S Purohit Hetal B Ms.
<table style="border-collapse: collapse;">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
```json
[
{
"name": "Barnhill",
"turnout": "34.1%",
"cavendish": "No change"
},
{
"name": "Dheer",
"turnout": "No change",
"cavendish": "Kanwal"
},
{
"name": "Eginton",
"turnout": "Tony",
"cavendish": "Gordon"
},
{
"name": "Singh",
"turnout": "Jasjit",
"cavendish": "Fewkes"
},
{
"name": "Heer",
"turnout": "Sarvan",
"cavendish": "Gordon"
},
{
"name": "O'Connor",
"turnout": "Paul",
"cavendish": "Paul"
},
{
"name": "Symons",
"turnout": "Paul",
"cavendish": "E."
},
{
"name": "Purdom",
"turnout": "John",
"cavendish": ""
},
{
"name": "Mcgill",
"turnout": "",
"cavendish": ""
},
{
"name": "Botwell",
"turnout": "",
"cavendish": ""
},
{
"name": "Gardner",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
"name": "",
"turnout": "",
"cavendish": ""
},
{
name":"No change",
turnout":"No change",
cavendish:"No change"
}
]
```
```
<page_number>92</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Haringey</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Harefield</td>
<td>Turnout 38.2%</td>
<td>Ickenham</td>
<td>Turnout 44.2%</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Higgins, Henry*</td>
<td>CON</td>
<td>897</td>
<td>Puddifoot, Raymond J. *</td>
<td>CON</td>
<td>2,519</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Palmer, Jane I. Ms.</td>
<td>CON</td>
<td>833</td>
<td>Hensley, John K. E. *</td>
<td>CON</td>
<td>2,250</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Berry, Gerard P.</td>
<td>UKIP</td>
<td>701</td>
<td>Simmonds, David T. *</td>
<td>CON</td>
<td>2,069</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Barnes, Richard M. *</td>
<td>IND</td>
<td>460</td>
<td>Darke, Stephen</td><td>UKIP</td><td>694</td><td></td><td></td>
</tr>
<tr>
<td>Sodha, Atul</td><td>IND</td><td>308</td><td>Buckingham, John</td><td>LAB</td><td>603</td><td></td><td></td>
</tr>
<tr>
<td>Halsall, Philip</td><td>LAB</td><td>213</td><td>Fox, Kevin F.</td><td>LAB</td><td>542</td><td></td><td></td>
</tr>
<tr>
<td>Edward, Ian</td><td>NF</td><td>198</td><td>Hagan, Liam A.</td><td>LAB</td><td>496</td><td></td><td></td>
</tr>
<tr>
<td>Gould, Joshua</td><td>GRE</ td><td>184</ td>< td>Kinrade, Robin J.</ td < td GRE </ td < td 306 </ td > < td </ td >
<tr>
New, Douglas A.<br/>
Clark, Andrew<br/>
Cunliffe, Alexander M.<br/>
Carson, James
TUSC
Heathrow Villages<br/>
2 LAB gains from CON
Money, Peter<br/>
Khatra, Manjit K. Ms.<br/>
Nelson, June Ms. *
LAB
LAB
LAB
Deville, Alan<br/>
Arnold, Simon<br/>
Taylor, Christine M. Ms.<br/>
Tomlinson, Bryan P.<br/>
Makwana, Heena Ms.<br/>
Rigby, William J.
LAB
CON
CON
UKIP
UKIP
CON
GRE
GRE
GRE
Gre
Manor
Turnout 42.0%
No change
Mills, Douglas S. *
O'Brien, Susan C. Ms.*
Markham, Michael J. *
Mccentee, Paul S.
Espley, Paul
O'Shea, Anne Ms.
Mathur, Shashi Ms.
Crook, Peter L.
Wilkinson, Geoffrey J.
Cox, Albert T.
Thomas, Christopher P.
Salvani, Antonio
Jones, Brian P.
LD
LD
LD
TUSC
Hillingdon East
Turnout 37.3%
No change
Bridges, Wayne P. *
Chapman, Alan J.
Jackson, Patricia M. *
Campbell, John<br/>
Malik, Rahela B. Ms.<br/>
Morgan, Terry<br/>
Shelvey, Geraldine Ms.
LAB
LAB
LAB
LAB
CON
CON
CON
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
<img>Hillingdon logo with a map of Hillingdon district.</img>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>Harefield No change Higgins, Henry* Palmer, Jane I. Ms. Barry, Gerard P. Barnes, Richard M. * Sodha, Atul Halsall, Philip Edward, Ian Gould, Joshua New Douglas A. Clark Andrew Cunliffe Alexander M. Carson James Money Peter Khatra Manjit K. Ms. Nelson June Ms. * Deville Alan Arnold Simon Taylor Christine M. Ms. Tomlinson Bryan P Makwana Heena Ms Rigby William J.</th>
<th style="text-align: right;">Turnout 32.1%</th>
<th style="text-align: right;">No change Mills Douglas S.* O'Brien Susan C. Ms.* Markham Michael J.* Mccentee Paul S Espley Paul O'Shea Anne Ms Mathur Shashi Ms Crook Peter L Wilkinson Geoffrey J Cox Albert T Thomas Christopher P Salvani Antonio Jones Brian P.</th>
<th style="text-align: right;">Turnout 42.0%</th>
<th style="text-align: right;">No change Mills Douglas S.* O'Brien Susan C. Ms.* Markham Michael J.* Mccentee Paul S Espley Paul O'Shea Anne Ms Mathur Shashi Ms Crook Peter L Wilkinson Geoffrey J Cox Albert T Thomas Christopher P Salvani Antonio Jones Brian P.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin Carol Ms.* Lewis Richard A.* Seaman-Digby Scott M.* Holding Fiona C. Ms Haines William H. Bell Alan R Dhillon Mahan S Widgington Kim B. Ms Asquith Jeremy E. C Mason Emily J. Ms Jacobs Geoffrey A.</th>
<th style="text-align: right;">Turnout 36.7%</th>
<th style="text-align: right;">No change Melvin CarolMs* Lewis Richard A* Seaman-Digby Scott M* Holding Fiona C*Ms Haines William H* Bell Alan R Dhillon Mahan S Widgington Kim B*Ms Asquith Jeremy E* C Mason Emily J*Ms Jacobs Geoffrey A*</th>
<th style="text-align: right;">Turnout 36.%* CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con ConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCnCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCoCCCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCcCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCdCDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDdDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDddDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDDDdddDEDdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEdeDEeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeDeeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEeeeEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseesseeesseeeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseaseasesaasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaasssassaassssasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaasaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesaesa 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<img>Hillingdon logo with the text "Hillingdon" and an image of the town's layout.</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>93</page_number>
<table>
<thead>
<tr>
<td>Northwood Hills<br>No change</td>
<td>Turnout 38.7%</td>
<td>Townfield<br>No change</td>
<td>Turnout 33.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bianco, Thanthan P. *</td>
<td>CON<br>1,559</td>
<td>Allen, Lynne Ms. *</td>
<td>LAB<br>2,374</td>
</tr>
<tr>
<td>Morgan, John R.*</td>
<td>CON<br>1,399</td>
<td>Curling, Peter A.*</td>
<td>LAB<br>2,090</td>
</tr>
<tr>
<td>Flynn, Duncan T.</td>
<td>CON<br>1,180</td>
<td>Sansarpuri, Robin*</td>
<td>LAB<br>1,971</td>
</tr>
<tr>
<td>Retter, Andrew J.*</td>
<td>IND<br>976</td>
<td>Fagan, Bernard J.</td>
<td>UKIP<br>750</td>
</tr>
<tr>
<td>Bishop, David A.</td>
<td>NHCC<br>847</td>
<td>Brightman, Nicola Ms.</td>
<td>CON<br>709</td>
</tr>
<tr>
<td>Rao, Heidi Ms.</td>
<td>UKIP<br>567</td>
<td>Macmanus, Harry</td>
<td>CON<br>545</td>
</tr>
<tr>
<td>Allam, David R.</td>
<td>LAB<br>509</td>
<td>Rogerson, Sam</td>
<td>CON<br>452</td>
</tr>
<tr>
<td>Kinchen, Jill Ms.</td>
<td>LAB<br>445</td>
<td>Linton, William A.</td>
<td>GRE<br>309</td>
</tr>
<tr>
<td>Dodhia, Nilesh</td>
<td>NHCC<br>417</td>
<td>Hayes, Maddie Ms.</td>
<td>TUSC<br>151</td>
</tr>
<tr>
<td>Wallis, Victoria Ms.</td>
<td>LAB<br>412</td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Kennedy, Wally<br>Crook, Nicole R. C. Ms.</td>
<td>TUSC<br>364<br>GRE<br>342</td>
<td colspan="2">Uxbridge North<br>No change<br>Cooper, George E. *</td><td colspan="2">Turnout 36.4%</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Kara-Isitt, Fawzia Z. Ms.</td><td>NHCC<br>230</td><td>Graham, Raymond C.</td><td colspan="2">CON<br>2,047<br>CON<br>1,788</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Honeygold, Derek Z.</td><td>LD<br>169</td><td colspan="2">Yarrow, David A. *</td><td colspan="2">CON<br>1,678</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Klein, Alan H.</td><td>LD<br>89</td><td>Weisenberger, Nicola A. Cs. Ms.</td><td colspan="2">UKIP<br>Harmsworth, Paul K.</td><td colspan="2">LAB<br>781</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Mallick, Ulla I. E. Ms.</td><td>LD<br>78</td><td colspan="2">Moore, Norrette P. Ms.</td><td colspan="2">LAB<br>753</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Pinkwell<br>No change</td><td colspan="3">Turnout 32.8%</td><td colspan="2">Mitchell, Alex<br>Holyday, William D. C.</td><td colspan="2">LAB<br>683<br>GRE<br>419</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Dhillon, Jazz*</td><td>LAB<br>2,060</td><td>Khan, Nasim A.</td><td colspan="2">LD<br>LD<br>LD<br>TUSC</td><td colspan="2">184<br>180<br>164<br>120</td></tr>
<tr style="background-color: #f0f0f0;">
<td>Lakhmanna, Kuldeep K. Ms.*<br>Morse, John V.</td><td>LAB<br>1,981<br>LAB<br>1,804</td><td>Masters, Adam R. E.<br>Akrami, Margaret B. Ms.<br>Zahra S. Ms.</TD><TD colspan="2"></TD><TD colspan="2"></TD></tr>
<tr style="background-color: #f0f0f0;">
<td>Bridges, Kelly-Marie Ms.<br>Aldridge, Zara S. Ms.<br>Knight, Stephen<br>Hardinge, Tom</TD><TD COLSPAN="3" STYLE="BACKGROUND-COLOR: #FEEFEF;">CON 670 CON 649 CON 608 CON 604 CON 306 CON 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC 128 TUSC
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TD COLSPAN="3" STYLE " BACKGROUND - COLOR :# F E E F E F ">T US C LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD SDLD 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<img>Hillingdon logo with text "Hillingdon"</img>
<table>
<thead>
<tr>
<th rowspan='5'>South Ruislip No change
Kaufman, Allan G.*
Kelly, Judy A. Ms.*
Duducu, Jem
Nunn, Robert
Griffiths, Arran J.
Pennington, Robert
Sheleyv, Martin J.
Stefanelli
Barrabel, John C.
Watts, Nicholas M.
Cardy
Dollimore, Peter J.
Swallow
Hayes,</th>
<th rowspan='5'>Turnout
CON
CON
CON
LAB
LAB
LAB
UKIP
GRE
BNP
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LB
LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB LB BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BL BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BLC BCLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB CLB 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ISS ISS ISS ISS ISS ISS ISS ISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSIssississississississississississississississ
<page_number>94</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Hillingdon
<table>
<thead>
<tr>
<td>West Drayton</td>
<td>Turnout 34.0%</td>
<td>Yeading</td>
<td>Turnout 34.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>1 LAB gain from CON</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Gilham, Dominic</td>
<td>CON</td>
<td>1,494</td>
<td>Birah, Mohinder S.</td>
<td>LAB</td>
<td>2,121</td>
</tr>
<tr>
<td>Duncan, Janet S. M. Ms.</td>
<td>LAB</td>
<td>1,406</td>
<td>Singh, Jagjit</td>
<td>LAB</td>
<td>2,006</td>
</tr>
<tr>
<td>Sweeting, Jan Ms.</td>
<td>LAB</td>
<td>1,397</td>
<td>Garg, Narinder K. Ms. *</td>
<td>LAB</td>
<td>2,004</td>
</tr>
<tr>
<td>Bond, John</td>
<td>LAB</td>
<td>1,240</td>
<td>Preston, Arthur</td>
<td>CON</td>
<td>794</td>
</tr>
<tr>
<td>Hartness, Barry M.</td>
<td>CON</td>
<td>1,228</td>
<td>Horn, Graham</td>
<td>CON</td>
<td>735</td>
</tr>
<tr>
<td>Purewal, Naman Ms.</td>
<td>CON</td>
<td>1,006</td>
<td>Shaughnessy, Cheryl Ms.</td>
<td>CON</td>
<td>665</td>
</tr>
<tr>
<td>Peverill, Raymond V.</td>
<td>UKIP</td>
<td>974</td>
<td>Knight, Helen L. Ms.</td>
<td>UKIP</td>
<td>599</td>
</tr>
<tr>
<td>Banks, Ann F. Ms.</td>
<td>IND</td>
<td>441</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Murphy, Nicky Ms.</td>
<td>IND</td>
<td>286</td>
<td>Viewsley</td>
<td></td>
<td><strong>Turnout 33.8%</strong></td>
</tr>
<tr>
<td>Buttivant, Paul J. *</td>
<td>IND</td>
<td>246</td>
<td><strong>T CON gain from LAB </strong></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th colspan="3">West Ruislip No change Turnout 37.4%</th><th colspan="2"></th></tr></thead><tbody><tr><th>Corthorne, Philip N. *</th><th>CON<br></th><th><strong>2,122</strong></th><th>Davis, Peter R.<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th></tr>
<tr class="header_bottom_margin"><th colspan="5">No change Wallana, Shehryar CON 1,009 Edwards, Ian CON 1,143 Bliss, Lindsay Ms. LAB 1,007 Kaur, Parminder Ms. LAB 964 Oswell, John L. LAB 930 Pontey, Jason A. UKIP 892 Gre 334 Brownsworth, Graham S. GRE 334 Mcdonald, Margaret T. Ms. LAB 568 Evans, Vincent BNP 304 Mcdonald, Peter L. LAB 485 Holland, Eileen Ms. LD 168 Turvey, Mary Ms. LAB 454 Abdul-Motalibl Humam LD 142 Cowan-Bates, Vincent J. GRE 428 Martin, Linda Ms. TUSC 118 Leightner, Hilary F. Ms. LD 215 Masters, Alan B. R. LD 113 Towner, Carolyn J. Ms. LD 202 Rodwell, Graydon M. LD 189
<img>Hillingdon map showing constituency boundaries and key locations like London Bridge and West Ruislip.</img>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Drayton<br/>1 LAB gain from CON<br/></th>
<th style="text-align:center;">Turnout<br/>34.0%</th>
<th style="text-align:center;">Yeading<br/>No change<br/></th>
<th style="text-align:right;">Turnout<br/>34.9%</th>
<th style="text-align:center;">LAB<br/>CON<br/>CON<br/>UKIP<br/></th>
<th style="text-align:center;">Birah, Mohinder S.<br/>Singh, Jagjit<br/>Garg, Narinder K. Ms.<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</sup>|<sup>*</ sup>*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*|*</th>
<th style="text-align:center;">Preston, Arthur<br/>Horn, Graham<br/>Shaughnessy, Cheryl Ms.| <strong>* </strong></th>
<th style="text-align:center;">CON<br/>CON<br/>CON<br/>UKIP<br/></th>
<th style="text-align:center;">Knight, Helen L. Ms.<strong>* </strong></th>
<th style="text-align:center;">UKIP<br/><strong>* </strong></th>
<th style="text-align:center;">Murphy, Nicky Ms.<strong>* </strong></th>
<th style="text-align:center;">IND<br/><strong>* </strong></th>
<th style="text-align:center;">Yiewsley<br/><strong>* </strong></th>
<th style="text-align:center;"><strong>Turnout 33.8%</strong></th>
<th style="text-align:center;"><strong>T CON gain from LAB </strong></th>
<th style="text-align:center;"><strong>Davis, Peter R.<strong>* </strong></strong></th>
<th style="text-align:center;"><strong>CON<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><strong>CON<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><strong>VIEWSLEY<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><strong>T CON gain from LAB <strong>* </strong></strong></th>
<th style="text-align:center;"><strong>Davis, Peter R.<strong>* </strong></strong></th>
<th style="text-align:center;"><strong>CON<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><strong>VIEWSLEY<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><strong>T CON gain from LAB <strong>* </strong></strong></th>
<th style="text-align:center;"><strong>Davis, Peter R.<strong>* </strong></strong></th>
<th style="text-align:center;"><<strong>CON<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><<strong>VIEWSLEY<br/><strong>* </strong></strong></th>
<th style="text-align:center;"><<strong>T CON gain from LAB < strong>* </ strong></ strong></th>
<th style="text-align:center;"><<strong>Davis, Peter R.< strong>* strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * strong > strong * < br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/></ br/>
<img>Hillingdon map showing constituency boundaries and key locations like London Bridge and West Ruislip.</img>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Ruislip No change Turnout 37.4%</th>
<th style="text-align:center;">Turnout<br/>37.4%</th>
<th style="text-align:center;">Yeading<br/>No change<br/>Wallana Shehryar CON 1,009 Edwards Ian CON 1,143 Bliss Lindsay Ms LAB 1,007 Kaur Parminder Ms LAB 964 Oswell John L LAB 930 Pontey Jason A UKIP 892 Gre 334 Brownsworth Graham S GRE 334 Mcdonald Margaret T Ms LAB 568 Evans Vincent BNP 304 Mcdonald Peter L LAB 485 Holland Eileen Ms LD 168 Turvey Mary MS LAB 454 Abdul-Motalibl Humam LD 142 Cowan-Bates Vincent J GRE 428 Martin Linda MS TUSC 118 Leightner Hilary F MS LD 215 Masters Alan B R LD 113 Towner Carolyn J MS LD 202 Rodwell Graydon M LD 189
<img>Hillingdon map showing constituency boundaries and key locations like London Bridge and West Ruislip.</img>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Drayton<br/>1 LAB gain from CON<br/>Gilham Dominic CON<br/>Duncan Janet S M Ms LAB<br/>Sweeting Jan Ms LAB<br/>Bond John LAB<br/>Hartness Barry M CON<br/>Purewal Naman MS CON<br/>Peverill Raymond V UKIP<br/>Banks Ann F MS IND<br/>Murphy Nicky MS IND<br/>Buttivant Paul J.* IND Barros Carlos TUSC
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Ruislip No change Turnout 37.4% No change Wallana Shehryar CON 1,009 Edwards Ian CON 1,143 Bliss Lindsay Ms LAB 1,007 Kaur Parminder Ms LAB 964 Oswell John L LAB 930 Pontey Jason A UKIP 892 Gre 334 Brownsworth Graham S GRE 334 Mcdonald Margaret T Ms LAB 568 Evans Vincent BNP 304 Mcdonald Peter L LAB 485 Holland Eileen Ms LD 168 Turvey Mary MS LAB 454 Abdul-Motalibl Humam LD 142 Cowan-Bates Vincent J GRE 428 Martin Linda MS TUSC 118 Leightner Hilary F MS LD 215 Masters Alan B R LD 113 Towner Carolyn J MS LD 202 Rodwell Graydon M LD 189
<img>Hillingdon map showing constituency boundaries and key locations like London Bridge and West Ruislip.</img>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Drayton<br/>1 LAB gain from CON Gilham Dominic CON Duncan Janet S M Ms LAB Sweeting Jan Ms LAB Bond John LAB Hartness Barry M CON Purewal Naman MS CON Peverill Raymond V UKIP Banks Ann F MS IND Murphy Nicky MS IND Buttivant Paul J.* IND Barros Carlos TUSC
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Ruislip No change Turnout 37.4% No change Wallana Shehryar CON 1,009 Edwards Ian CON 1,143 Bliss Lindsay Ms LAB 1,007 Kaur Parminder Ms LAB 964 Oswell John L LAB 930 Pontey Jason A UKIP 892 Gre 334 Brownsworth Graham S GRE 334 Mcdonald Margaret T Ms LAB 568 Evans Vincent BNP 304 Mcdonald Peter L LAB 485 Holland Eileen Ms LD 168 Turvey Mary MS LAB 454 Abdul-Motalibl Humam LD 142 Cowan-Bates Vincent J GRE 428 Martin Linda MS TUSC 118 Leightner Hilary F MS LD 215 Masters Alan B R LD 113 Towner Carolyn J MS LD 202 Rodwell Graydon M LD
<img>Hillingdon map showing constituency boundaries and key locations like London Bridge and West Ruislip.</img>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Drayton<br/>1 LAB gain from CON Gilham Dominic CON Duncan Janet S MMs LAB Sweeting Jan Ms LAB Bond John LAB Hartness Barry M CON Purewal Naman MS CON Peverill Raymond V UKIP Banks Ann F MS IND Murphy Nicky MS IND Buttivant Paul J.* IND Barros Carlos TUSC
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="text-align:left;">West Ruislip No change Turnout
<img>Hillingdon map showing constituency boundaries and key locations like London Bridge and West Ruislip.</img>
<table border=
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>95</page_number>
**Hounslow**
Labour administration
<img>A map of Hounslow showing the boundaries of the wards and their party affiliations. The map is divided into two main areas: Hounslow Central and Hounslow Heath. The main area is coloured purple, with some parts highlighted in red (Labour) and blue (Conservative). The smaller area to the north-east is coloured green, with some parts highlighted in red (Labour) and blue (Conservative). The main area has the following ward names and party affiliations:
- 1 Bedfont - Labour
- 2 Brentford - Conservative
- 3 Chiswick Homefields - Labour
- 4 Chiswick Riverside - Labour
- 5 Cranford - Labour
- 6 Feltham North - Labour
- 7 Feltham West - Labour
- 8 Hanworth - Labour
- 9 Hanworth Park - Labour
- 10 Heston Central - Labour
The smaller area to the north-east has the following ward names and party affiliations:
- 11 Heston East - Labour
- 12 Heston West - Conservative
- 13 Hounslow Central - Labour
- 14 Hounslow Heath - Labour
- 15 Hounslow South - Labour
- 16 Hounslow West - Labour
- 17 Isleworth - Labour
- 18 Osterley and Sprin - Labour
- 19 Syon - Labour
- 20 Furham Green - Labour
Conservative
Labour
Conservative/Labour
State of the parties, 1964–2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>11</td>
<td>49</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>22.5.14</td>
<td>36.8</td>
<td>25.0</td>
<td>43.6</td>
<td>7.3</td>
<td>24.2</td>
</tr>
<tr>
<td>6.5.10</td>
<td>25</td>
<td>35</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>6.5.10</td>
<td>93.7</td>
<td>7.2</td>
<td>34.6</td>
<td>15.7</td>
<td>18.4</td>
</tr>
<tr>
<td>4.5.06</td>
<td>23</td>
<td>24</td>
<td>5</td>
<td>8</td>
<td>60</td>
<td>4.5.06</td>
<td>37.8</td>
<td>29.8</td>
<td>30.0</td>
<td>18.7</td>
<td>22.3</td>
</tr>
<tr>
<td>2.5.02</td>
<td>15</td>
<td>36</td>
<td>5</td>
<td>4</td>
<td>60</td>
<td>2.5.02</td>
<td>29.0</td>
<td>29.7</td>
<td>37.9</td>
<td>12.9</td>
<td>19.6</td>
</tr>
<tr>
<td>7.5.98</td>
<td>11</td>
<td>44</td>
<td>4</td>
<td>1</td>
<td>60</td>
<td>7.5.98</td>
<td>32.4</td>
<td>27.6</td>
<td>48.5</td>
<td>14.2</td>
<td>9.7</td>
</tr>
<tr>
<td>5.5.94</td>
<td>6</td>
<td>49</td>
<td>5</td>
<td>-</td>
<td>60</td>
<td>5.5.94</td>
<td>44.9</td>
<td>27.8</td>
<td>53.1</td>
<td>16.6</td>
<td>2.5</td>
</tr>
<tr>
<td>3.5.90</td>
<td>15</td>
<td>44</td>
<td>1</td>
<td>-</td>
<td>60</td>
<td>3.5.90</td>
<td>48.9</td>
<td>35.6</td>
<td>45.7</td>
<td>-0.0<br/>9.6<br/>-</td><br/>-</br/>
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General statistics
<table border="1">
<thead><tr><th></th><th>Hounslow<sup>*</sup></th><th>London<sup>*</sup></th></tr></thead><tbody><tr><th>Electorate:</th><th>May 2014<sup>*</sup></th><th>May 2010<sup>*</sup></th></tr><tr><td></td><td style="text-align: right;">191,590<sup>*</sup></td><td style="text-align: right;">5,878,824<sup>*</sup></td></tr><tr><td></td><td style="text-align: right;">179,930<sup>*</sup></td><td style="text-align: right;">5,689,223<sup>*</sup></td></tr><tr><th style="border-top: none;">Resident population aged 18 and over:</th><th style="border-top: none;"></th><th style="border-top: none;"></th></tr><tr><td></td><td style="text-align: right;">Mid 2014<sup>*</sup></td><td style="text-align: right;">198,500<sup>*</sup></td></tr><tr><td></td><td style="text-align: right;">Mid 2010<sup>*</sup></td><td style="text-align: right;">6,597,100<sup>*</sup></td></tr><tr><th style="border-top: none;">Estimated % unemployed:</th><th style="border-top: none;"></th><th style="border-top: none;"></th></tr><tr><td></td><td style="text-align: right;">May 2013/14<sup>*</sup></th><th style="text-align: right;">7.0<sup>*</sup></th></tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2009/10<sup>*</sup></ td >< th style="text-align: right;">8.2<sup>*</sup></ td > </tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2013/14<sup>*</sup></ td >< th style="text-align: right;">7.9<sup>*</sup></ th > </tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2009/10<sup>*</sup></ td >< th style="text-align: right;">9.1<sup>*</sup></ th > </tr><tr>< th style="border-top: none;"><strong>Band 'D' council tax:</strong></th><th style="border-top: none;"></th><th style="border-top: none;"></th></tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2014<sup>*</sup></ td >< th style="text-align: right;">£1,388<sup>*</sup></ th > </tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2010<sup>*</sup></ td >< th style="text-align: right;">£1,400<sup>*</sup></ th > </tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2014<sup>*</sup></ td >< th style="text-align: right;">£1,302<sup>*</sup></ th > </tr><tr>< td style="border-top: none;"></ td>< td style="text-align: right;">May 2010<sup>*</sup></ td >< th style="text-align: right;">£1,309<sup>*</sup></ th > </tr></tbody></table>
* = data from May 2014 unless otherwise stated
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Hounslow</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bedfont</td>
<td>22.5.14</td>
<td>37.5</td>
<td>32.3</td>
<td>44.5</td>
<td>11.5</td>
<td>11.8</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>58.3</td>
<td>28.2</td>
<td>29.2</td>
<td>16.6</td>
<td>-</td>
<td>11.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Brentford</td>
<td>22.5.14</td>
<td>34.6</td>
<td>15.1</td>
<td>44.2</td>
<td>5.3</td>
<td>14.4</td>
<td>-</td>
<td>12.9</td>
<td>-</td>
<td>-<br><strong>8.1</strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>56.8</td>
<td>25.4</td>
<td>41.0</td>
<td>23.8</td>
<td>9.8</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Chiswick Homefields</td>
<td>22.5.14</td>
<td>39.1</td>
<td>49.5</td>
<td>32.0</td>
<td>10.0<br><strong>8.5</strong></td>
<td>-<br><strong>- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - </strong></td><br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-<br><strong>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <br>-- <b style="color:red;">-- 12.8 -- </b></tr>
<tr style="border-top: 1px solid black;">
<th colspan="11"><u>Cranford </u></th></tr>
<tr style="border-top: 1px solid black;">
<th>Cranford </th>
<th style="text-align:left;">22.5.14<br style="text-align:center;">36.4<br style="text-align:center;">6.5.10<br style="text-align:center;">58.0<br style="text-align:center;">68.3<br style="text-align:center;">37.7<br style="text-align:center;">37.</th>
<th style="text-align:left;">25.4<br style="text-align:center;">26.0<br style="text-align:center;">49.1<br style="text-align:center;">- </th>
<th style="text-align:left;">33.7<br style="text-align:center;">- </th>
<th style="text-align:left;">8.0<br style="text-align:center;">- </th>
<th style="text-align:left;">9.5<br style="text-align:center;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
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<th style="text-align:left;">- </th>
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<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
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<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
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<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">- </th>
<th style="text-align:left;">-</th>
<th style="text-align:left;"><u>Cranford North uHounslow West uHounslow Central uHounslow Heath uHounslow South uHounslow West uIsleworth uOsterley and Spring Grove uSyon uTurnham Green uHounslow Park uHeston Central uHeston East uHeston West uHounslow Central uHounslow Heath uHounslow South uHounslow West uIsleworth uOsterley and Spring Grove uSyon uTurnham Green uHounslow Park uHeston Central uHeston East uHeston West uHounslow Central uHounslow Heath uHounslow South uHounslow West uIsleworth uOsterley and Spring Grove uSyon uTurnham Green uHounslow Park uHeston Central uHeston East uHeston West uHounslow Central uHounslow Heath uHounslow South uHounslow West uIsleworth uOsterley and Spring Grove uSyon uTurnham Green uHounslow Park uHeston Central uHeston East uHeston West uHounslow Central uHounslow Heath uHounslow South uHounslow West uIsleworth uOsterley and Spring Grove uSyon uTurnham Green uHounslow Park uHeston Central uHeston East uHeston West uHounslow Central uHounslow Heath uHounslow South uHounslow West uIsleworth uOsterley and Spring Grove uSyon uTurnham Green uHounslow Park uHeston Central uHeston East uHeston West uHounslow Central U Hounslow Heath U Hounslow South U Hounslow West U Isleworth U Osterley and Spring Grove U Syon U Turnham Green U Hounslow Park U Heston Central U Heston East U Heston West U Hounslow Central U Hounslow Heath U Hounslow South U Hounslow West U Isleworth U Osterley and Spring Grove U Syon U Turnham Green U Hounslow Park U Heston Central U Heston East U Heston West U Hounslow Central U Hounslow Heath U Hounslow South U Hounslow West U Isleworth U Osterley and Spring Grove U Syon U Turnham Green U Hounslow Park U Heston Central U Heston East U Heston West U Hounslow Central U Hounslow Heath U Hounslow South U Hounslow West U Isleworth U Osterley and Spring Grove U Syon U Turnham Green U Hounslow Park U Heston Central U Heston East U Heston West U Hounslow Central U Houndlow Heath U Houndlow South U Houndlow West U Isleworth U Osterley and Spring Grove U Syon U Turnham Green U Houndlow Park U Heston Central U Heston East U Heston West U Houndlow Central 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>97</page_number>
**Results**
<table>
<thead>
<tr>
<td>Bedfont</td>
<td>Turnout 37.5%</td>
<td>Chiswick Riverside</td>
<td>Turnout 40.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">No change</td>
</tr>
<tr>
<td>1 LAB gain from CON</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Anderson, Keith A.</td>
<td>LAB</td>
<td>1,686</td>
<td>Hearn, Sam*</td>
<td>CON</td>
<td>1,615</td>
</tr>
<tr>
<td>Gupta, Sachin *</td>
<td>LAB</td>
<td>1,601</td>
<td>Barwood, Felicity Ms. *</td>
<td>CON</td>
<td>1,572</td>
</tr>
<tr>
<td>Christie, Samantha E. Ms.</td>
<td>LAB</td>
<td>1,594</td>
<td>Lynch, Paul K. J. *</td>
<td>CON</td>
<td>1,560</td>
</tr>
<tr>
<td>Mammatt, Liz Ms. *</td>
<td>CON</td>
<td>1,300</td>
<td>Ruelh, Rakib</td>
<td>LAB</td>
<td>749</td>
</tr>
<tr>
<td>Sandhu, Gursh</td>
<td>CON</td>
<td>1,131</td>
<td>Scott, Diane M. Ms.</td>
<td>GRE</td>
<td>688</td>
</tr>
<tr>
<td>Lacey, Steven</td>
<td>CON</td>
<td>1,109</td>
<td>Sheppy, Gordon A.</td>
<td>LAB</td>
<td>675</td>
</tr>
<tr>
<td>Jhooti, Jin</td>
<td>LD</td>
<td>442</td>
<td>Bhatti, Rasheed</td>
<td>LAB</td>
<td>665</td>
</tr>
<tr>
<td>Bleach, Martin J.</td>
<td>GRE</td>
<td>431</td>
<td>Murray, Andy</td>
<td>IND</td>
<td>623</td>
</tr>
<tr>
<td>Stevens, Kevin J.</td>
<td>LD</td>
<td>398</td>
<td>Coldsmith, Daniel C.</td>
<td>GRE</td>
<td>617</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Brentford No change</td>
<td></td><th colspan="3">Turnout 34.6%</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/>
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<a href="#table-headers" class="headerlink"></a> <img>A table showing results for London Borough Council elections May 2014.</img> </a>
<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="text-align: center;">
<th rowspan="2">Cadbury, Ruth Ms. *</br>No change</br>No change > CON > LAB > LAB > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > CON > Con
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<br/></tab...
<page_number>98</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Hounslow**
<table>
<thead>
<tr>
<td>Feltham West<br>2 LAB gains from CON</td>
<td>Turnout 32.4%</td>
<td>Heston East<br>No change</td>
<td>Turnout 33.6%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hughes, David M.<br>Hughes, Elizabeth P. Ms.</td>
<td>LAB<br>1,695</td>
<td>Kaur, Kamaljit *<br>Lal, Gurmail S.*</td>
<td>LAB<br>2,151</td>
</tr>
<tr>
<td>Mitchell, Alan<br>Botteneril, Colin J.*</td>
<td>LAB<br>1,691</td>
<td>Mann, Amrit *</td>
<td>LAB<br>2,063</td>
</tr>
<tr>
<td>Lipka, Agnieszka Ms.</td>
<td>UKIP<br>1,717</td>
<td>Kenton, Michael J.</td>
<td>CON<br>766</td>
</tr>
<tr>
<td>Malinski, Patryk</td>
<td>CON<br>861</td>
<td>Bansal, Sati</td>
<td>CON<br>720</td>
</tr>
<tr>
<td>Rai, Anand K.</td>
<td>CON<br>818</td>
<td>Siddiqui, Rehana</td>
<td>CON<br>619</td>
</tr>
<tr>
<td></td>
<td>CON<br>718</td>
<td>Shaw, Andrew</td>
<td>GRE<br>456</td>
</tr>
<table>
<thead>
<tr>
<td>Hanworth<br>1 LAB gain from CON</td>
<td>Turnout 33.9%</td>
<td>Heston West<br>No change</td>
<td>Turnout 40.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Atterton, Candice A. Ms.<br>Foote, Richard W.</td>
<td>LAB<br>1,404</td>
<td>Bath, Rajinder S.*<br>Bath, Lily Ms.</td>
<td>LAB<br>2,491</td>
</tr>
<tr>
<td>Chaudhary, Samia<br>Botteneril, Dean R. L.</td>
<td>LAB<br>1,349<br>1,285</td>
<td>Rajawat, Shantanu S.*<br>Panesar, Baljinder S.</td>
<td>LAB<br>2,419<br>2,323</td>
</tr>
<tr>
<td>Khan, Koisor<br>Ahmed, Shakil<br>Ratrakaye, Nanda K.</td>
<td>CON<br>550<br>538<br>CON<br>494</td>
<td>Sahota, Harinder S.<br>Singh, Herdeep<br>Barnes, Anne E. Ms.</td>
<td>CON<br>727<br>668<br>600<br>UKIP</td>
</tr>
<tr>
<td>Gough, Steve<br>Bennett, Joan M. Ms.</td>
<td>GRE<br>411<br>LD<br>370</td>
<td>Braby, Patricia J. Ms.</td>
<td>LD<br>279</td>
</tr>
<table>
<thead>
<tr><th>Hounslow Central No change Turnout 33.2%</th></tr><tr><th colspan="2">Grewal, Pritam S.* LAB 2,283 Grewal, Ajmer* LAB 2,224 Malik, Nisar A. LAB 2,088 Khan, Hanif A. CON 997 Atkinson, Kath Ms. CON 873 Ball, John UKIP CON 724 Jabbal, Paul* CON GRE 522 Wood, Philippa C. Ms. CON UKIP 429 Stewart, Becky Ms.* UKIP LD 420 Williams, Beverley Ms.* LD Hounslow Heath Turnout 33.8% Martin, Simon T. No change Elar*, Colin* LAB 2,331 Malhotra, Mukesh LAB 2,238 Hearlehen A. LAB Smart*, Corinna M. Ms.* LAB 2,177 Buttar Manjit S. CON CON 770 Purewal Surinder S. CON Cusworth, Patrick CON 739 Dhillon Amarjit S.* CON Vanstone, Peter J. CON 696 Malik, Karamat A. CON Wells, Stefan E. GRE 390 Karwal Radheesham CON Billenessness Sally A. Ms. LD 322 Barnes Clive G. UKIP Billenessness Mark LD 271
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<table>
<!-- TABLE: Heston Central -->
<h4>Heston Central No change Turnout 37.7%</h4><table><tbody><tr><th></th><th></th><th></th><th></th></tr><tr><td>Ellar*, Colin*</td><td></td><td></td><td></td></tr><tr><td>Malhotra, Mukesh</td><td></td><td></td><td></td></tr><tr><td>Smart*, Corinna M. Ms.*<br>Gallagher, Bela Ms.</td><td></td><td></td><td></td></tr><tr><td>Cusworth, Patrick<br>Vanstone, Peter J.</td><td></td><td></td><td></td></tr><tr><td>Billsnessness Sally A. Ms.</td><td></td><td></td><td></td></tr></tbody></table><!-- TABLE: Heston Central -->
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>99</page_number>
<table>
<thead>
<tr>
<td>Hounslow South<br>3 LAB gain from CON</td>
<td>Turnout 44.4%</td>
<td>Osterley and Spring Grove<br>1 LAB gain from CON</td>
<td>Turnout 36.6%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bruce, Tom<br>Whatley, Bob<br>Mehban, Shaida</td>
<td>LAB<br>LAB<br>LAB</td>
<td>Louki, Tony<br>Reilly, Sheila M. Ms.<br>Carey, Peter F. d. V.</td>
<td>LAB<br>CON<br>CON</td>
</tr>
<tr>
<td>Davies, Lin*<br>Fisher, Brad*<br>Fisher, Pam Ms.*<br>Cronin, Kevin D.</td>
<td>CON<br>CON<br>CON<br>UKIP</td>
<td>Chaudri, Umsa K.<br>Mcevoy, Stephen M.<br>Gosain, Ajoy<br>Winkworth, Maggie Ms.</td>
<td>LAB<br>LAB<br>CON<br>GRE</td>
</tr>
<tr>
<td>Agius, Anthony<br>Alli, Syed M.</td>
<td>GRE<br>LD</td>
<td>516<br>321</td>
<td>James, John C. U.<br>LD</td>
</tr>
<tr>
<td>Hounslow West<br>No change</td>
<td>Turnout 37.6%</td>
<td>Syon</td>
<td>Turnout 37.5%</td>
</tr>
<tr>
<td><strong>Sharma, Jagdish R. *</strong><br><strong>Grewal, Puneet</strong><br><strong>Chopra, Bandna</strong></td>
<td>LAB<br>LAB<br>LAB</td>
<td><strong>Curran, Steve*</strong><br><strong>Dunne, Katherine S. Ms.</strong><br><strong>Dennison, Theo C. *</strong></td>
<td><strong>LAB</strong><br><strong>LAB</strong><br><strong>LAB</strong></td>
</tr>
<tr>
<td>Ahmad, Saad J.<br>Sandhu, Jagir S.<br>Thind, Mandip S.<br>Dhillon, Ajmer *.</td>
<td>CON<br>CON<br>CON<br>IND</td>
<td>803<br>700<br>658<br>491</td>
<td><strong>Andrews, Caroline J. Ms.</strong><br><strong>Fisher, Shirley L. Ms.</strong><br><strong>Gerry, Ian D.</strong><br><strong>Mushiso, Ron</strong></td>
<td><strong>CTY</strong><br><strong>CTY</strong><br><strong>COIN</strong><br><strong>COIN</strong></td>
</tr>
<tr>
<td>Vougjoukas, Alexander<br>Howliston, Robina M. Ms.<br>Gallup, Bill</td>
<td>GRE<br>LD<br>IND</td>
<td>359<br>284<br>244</td>
<td>Gill, Ranjit<br>Motion, Paul W.<br>Firkins, Tony<br>Brown, Joan F. Ms.</td>
<td><strong>UKIP</strong><br><strong>KRE</strong><br><strong>KRE</strong><br><strong>KD</strong></td>
</tr>
<tr>
<td>Islsworth<br>No change</td>
<td>Turnout 39.7%</td>
<td>Turnham Green</td>
<td>Turnout 35.3%</td>
</tr>
<tr>
<td><strong>Green, Lynn Ms.</strong></td>
<td>LAB</td>
<td><em>No change</em></td>
<td></td>
</tr>
<tr>
<td><em>Mayne, Ed*</em></td>
<td>LAB</td>
<td>Davies, Samantha T. Ms. *</td>
<td><em>CON</em></td>
</tr>
<tr>
<td>Sampson, Sue Ms. *</td>
<td>LAB</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Hounslow South 3 LAB gain from CON Turnout 44.4% Osterley and Spring Grove 1 LAB gain from CON Turnout 36.6%</th>
<th colspan="2" style="text-align: center;">Hounslow West No change Turnout 37.6% No change Curran, Steve* LAB 1,686 Dunne, Katherine S. Ms. LAB 1,673 Dennison, Theo C.* LAB 1,615 Andrews, Caroline J. Ms. CTY 937 Fisher Shirley L. Ms. CTY 811 Ian D. Gerrey David C. COIN 742 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C. COIN 732 Speed Ian J. Gerrey David C.</th>
<th colspan="2" style="text-align: center;">Isleworth No change Turnout 39.7% Turnham Green Turnout 35.3%</th>
<th colspan="2" style="text-align: center;">No change Davies Samantha T.</th>
<th colspan="2" style="text-align: center;">CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con ConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOnCOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTOfTObtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobtobo
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Hounslow South 3 LAB gain from CON Turnout 44.% Osterley and Spring Grove 1 LAB gain from CON Turnout 36.% No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB No change Curran Steve* LAB Nochange
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Hounslow South 3 LAB gain from CON Turnout 44.% Osterley and Spring Grove 1 LAB gain from CON Turnout 36.% No change Curran Stev eLAB No Change cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur ran steve *LAB cur rune sste ve e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Hounslow South 3 LAB gain from CON Turnout 44.% Osterley and Spring Grove 1 LAB gain from CON Turnout 36.% No Change Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syon Syo
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Hounslow South 3 LAB gain from CON Turnout 44.% Osterley and Spring Grove 1 LAB gain from CON Turnout 36.% No Change Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounslow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West Hounlow West
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Hounslow South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Houns low South
<table border "0" cellspacing=0 cellpadding=0 align=center>
```html
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width: auto;
margin-left: auto;
margin-right: auto;
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padding-top: .5em;
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table tr td em strong span em span em span em span em span em {
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table tr td em strong span em span em span em span em span em {
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table tr td em strong span em span em span em span em span em {
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table tr td em strong span em span em span em span em span em {
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table tr td em strong span em span em span em span em span em {
font-size:.8em;
text-align:right;
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table tr td
```
<page_number>100</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Islington**
Labour administration
<img>Map of Islington showing Labour and Labour/Green wards.</img>
Labour
Labour/Green
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>-</td>
<td>47</td>
<td>-</td>
<td>1</td>
<td>48</td>
<td>22.5.14</td>
<td>38.4</td>
<td>9.7</td>
<td>54.7</td>
<td>14.3</td>
<td>21.3</td>
</tr>
<tr>
<td>6.5.10</td>
<td>-</td>
<td>35</td>
<td>13</td>
<td>-</td>
<td>48</td>
<td>6.5.10</td>
<td>61.9</td>
<td>15.6</td>
<td>39.1</td>
<td>31.3</td>
<td>14.0</td>
</tr>
<tr>
<td>4.5.06</td>
<td>-</td>
<td>23</td>
<td>24</td>
<td>1</td>
<td>48</td>
<td>4.5.06</td>
<td>33.1</td>
<td>12.0</td>
<td>34.7</td>
<td>32.9</td>
<td>20.4</td>
</tr>
<tr>
<td>2.5.02</td>
<td>-</td>
<td>10</td>
<td>38</td>
<td>-</td>
<td>48</td>
<td>2.5.02</td>
<td>26.9</td>
<td>3.9</td>
<td>33.5</td>
<td>43.0</td>
<td>19.6</td>
</tr>
<tr>
<td>7.5.38</td>
<td>-</td>
<td>26</td>
<td>26</td>
<td>-</td>
<td>52</td>
<td>7.5.38</td>
<td>35.7</td>
<td>6.0</td>
<td>40.6</td>
<td>41.4</td>
<td>12.0</td>
</tr>
<tr>
<td>5.5.94</td>
<td>-</td>
<td>1939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939400000000000000000000000000000000000000000000000000000000000000000000000000000000000000 </td><td>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-- <img>A map of Islington showing Labour and Labour/Green wards.</img></table><table><tbody><tr><th></th><th colspan="2">% share of the poll, 1964-2014<br>% poll<br></th><th colspan="2">Islington<br></th><th colspan="2">London<br></th></tr><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td>Electorate<br/>May 2014<br/>May 2010<br/></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></ td></tr><tr><td>Electorate<br/>May 2014<br/>May 2014<br/></td><td></td><td></ td><table><tbody><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><th colspan="2"></th></tr><tr><th colspan="2"></th><table id='table_1'><thead id='table_1_thead'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'><tr id='table_1_header_row'><thead id='table_1_header_row'><tbody id='table_1_header_row'>...</thead></tbody></tr></thead></tbody></tr></thead></tbody></tr></thead></tbody></tr></thead></tbody></tr></thead></tbody></tr></thead></tbody></tr></thead></tbody></tr/></thead/></tbody/></table/></tbody/></tfoot/></table/></tbody/></tfoot/></table/></tbody/></tfoot/></table/></tbody/></tfoot/></table/></tbody/></tfoot/></table/></tbody/></tfoot/></table/></tbody/><tfoot/><style>:root { --header-color: #eaeaea; --body-color: #ffffff; --link-color: #eaeaea; --border-color: #cccccc; --background-color: #ffffff; --text-color: #ffffff; --heading-color: #ffffff; --heading-font-size: 2em; --heading-line-height: 5em; --heading-letter-spacing: -5px; --heading-margin-top: 5em; --heading-margin-bottom: 5em; --heading-padding-left: 5em; --heading-padding-right: 5em; --heading-text-align: center; --content-color: #ffffff; --content-font-size: 8em; --content-line-height: 8em; --content-letter-spacing: -5px; --content-margin-top: 5em; --content-margin-bottom: 5em; --content-padding-left: 5em; --content-padding-right: 5em; --content-text-align: center; --footer-color: #ffffff; --footer-font-size: 8em; --footer-line-height: 8em; --footer-letter-spacing: -5px; --footer-margin-top: 5em; --footer-margin-bottom: 5em; --footer-padding-left: 5em; --footer-padding-right: 5em; --footer-text-align: center; } .container { display: flex; flex-direction: column; align-items: center; justify-content: center; min-height: 8vh; max-width: 8vw; margin-top: auto !important; margin-bottom: auto !important; } .container > div { display: flex; flex-direction: row-reverse; align-items: center; justify-content: space-between; width: 8vw !important; height: 8vh !important; } .container > div > div { display: flex; flex-direction: column-reverse !important; align-items: center !important; justify-content: center !important; width: 8vw !important; height: 8vh !important; } .container > div > div > div { display:flex ;flex-direction :column-reverse !important ;align-items:center !important ;justify-content:center !important ;width :8vw !important ;height :8vh !important ;} .container > div > div > div > table { display:flex ;flex-direction :column-reverse !important ;align-items:center !important ;justify-content:center !important ;width :8vw !important ;height :8vh !important ;} .container > div > div > div > table > tbody > tr:nth-child(odd) { background-color:#f7f7f7;} .container > div > div > div > table > tbody > tr:nth-child(even) { background-color:#ffffff;} .container > div > div > div > table > tbody > tr:nth-child(odd) { background-color:#f7f7f7;} .container > div > div > div > table > tbody > tr:nth-child(even) { background-color:#ffffff;} .container > div > div > div > table > tbody > tr:nth-child(odd) { background-color:#f7f7f7;} .container > div > div > div > table > tbody > tr:nth-child(even) { background-color:#ffffff;} .container > div > div > div > table > tbody > tr:nth-child(odd) { background-color:#f7f7f7;} .container > div > div > div > table > tbody > tr:nth-child(even) { background-color:#ffffff;} .container > div > div > div > table > tbody > tr:nth-child(odd) { background-color:#f7f7f7;} .container > div > div > div > table > tbody > tr:nth-child(even) { background-color:#ffffff;} .container > div > div > div > table > tbody <
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>101</page_number>
Islington
<table>
<thead>
<tr>
<td></td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Barnsbury</td>
<td>22.5.14</td>
<td>39.8</td>
<td>18.3</td>
<td>57.3</td>
<td>9.6</td>
<td>11.9</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>2.9</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>64.3</td>
<td>21.9</td>
<td>41.4</td>
<td>25.2</td>
<td>9.8</td>
<td>--</td>
<td>--</td>
<td>1.6</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Bunhill</td>
<td>22.5.14</td>
<td>33.8</td>
<td>17.3</td>
<td><u>46.5<u></u></td>
<td><u>9.2<u></u></td>
<td><u>12.3<u></u></td>
<td>--</td>
<td><u>14.7<u></u></td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>55.6</td>
<td>19.4</td>
<td>37.0</td>
<td>31.1</td>
<td>7.8</td>
<td>4.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Caledonian</td>
<td>22.5.14</td>
<td>36.5</td>
<td><u>13.1<u></u></td>
<td><u>61.0<u></u></td>
<td><u>9.3<u></u></td>
<td><u>16.6<u></u></td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>60.0</td>
<td>15.6</td>
<td>45.2</td>
<td>28.7</td>
<td>10.4</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Canonbury</td>
<td>22.5.14</td>
<td><u>37.1<u></u></td>
<td><u>14.2<u></u></td>
<td><u>48.7<u></u></td>
<td><u>22.9<u></u></td>
<td><u>14.2<u></u></td>
<td>--</td>
<td>--</td>
<td><u>3.5<u></u></td>
<td><u>2.3<u></u></td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td><u>64.7<u></u></td>
<td><u>19.0<u></u></td>
<td><u>33.3<u></u></td>
<td><u>32.3<u></u></td>
<td><u>9.5<u></u></td>
<td>--</td>
<td>--</td>
<th colspan="2">--<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br><strong>Clerkenwell<br/></strong><strong>Finsbury Park<br/></strong><strong>Highbury East<br/></strong><strong>Highbury West<br/></strong><strong>Hillrise<br/></strong><strong>Holloway<br/></strong><strong>Junction<br/></strong><strong>Mildmay<br/></strong><strong>St George's<br/></strong><strong>Saint Mary's<br/></strong><strong>Saint Peter's<br/></strong><strong>Tollington<br/></strong>> 65.</page_number>
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<page_number>102</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# Results
**Islington**
<table>
<thead>
<tr>
<td>Barnsbury</td>
<td>Turnout 39.8%</td>
<td>Canonbury</td>
<td>Turnout 37.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>1 LAB gain from LD</td>
<td></td>
</tr>
<tr>
<td>Murray, James*</td>
<td>LAB</td>
<td>2,110</td>
<td>Diner, Alexander</td>
<td>LAB</td>
<td>1,569</td>
</tr>
<tr>
<td>Chowdhury, Jilani*</td>
<td>LAB</td>
<td>1,948</td>
<td>Jeapes, Clare Ms.</td>
<td>LAB</td>
<td>1,556</td>
</tr>
<tr>
<td>Hamitouche, Mouna Ms. *</td>
<td>LAB</td>
<td>1,910</td>
<td>Nicholas, Wayne</td>
<td>LAB</td>
<td>1,413</td>
</tr>
<tr>
<td>Cullen, Stuart</td>
<td>CON</td>
<td>710</td>
<td>Alex, Cox Alex</td>
<td>LD</td>
<td>805</td>
</tr>
<tr>
<td>Eldridge, Joseph</td>
<td>CON</td>
<td>604</td>
<td>Smith, Barbara G. Ms.</td>
<td>LD</td>
<td>716</td>
</tr>
<tr>
<td>Simms, Alicia R. Ms.</td>
<td>CON</td>
<td>594</td>
<td>Magudia, Mihir</td>
<td>LD</td>
<td>613</td>
</tr>
<tr>
<td>Hicks, Harry</td>
<td>GRE</td>
<td>467</td>
<td>Kalar, Arno</td>
<td>CON</td>
<td>467</td>
</tr>
<tr>
<td>Magudia, Rosie Ms.</td>
<td>GRE</td>
<td>447</td>
<td>Gesseendorfer, Lilli Ms.</td>
<td>GRE</td>
<<td>464</td>
</tr>
<tr>
<td>Christmas, David J.</td>
<td>LD</td>
<td>400</td>
<td>Turner, Georgina Ms.</td>
<td>GRE</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<table>
<tr>
<td>Bunhill No change Turnout 33.8%</table>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islington.</img>
<img>A map showing the electoral wards of Islingt...</page_number>LONDON BOROUGH COUNCIL ELECTIONS MAY
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>103</page_number>
<table>
<thead>
<tr>
<td>Highbury East<br>2 LAB gains from LD, 1 GRE gain from LD</td>
<td>Turnout 44.2%</td>
<td>Holloway<br>No change</td>
<td>Turnout 36.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Gantly, Osh</td>
<td>LAB<br>1,514</td>
<td>Smith, Paul*</td>
<td>LAB<br>2,470</td>
</tr>
<tr>
<td>Erdogan, Aysegul Ms.</td>
<td>LAB<br>1,430</td>
<td>Ismail, Rakhia Ms.*</td>
<td>LAB<br>2,266</td>
</tr>
<tr>
<td>Russell, Caroline Ms.</td>
<td>GRE<br>1,214</td>
<td>Ward, Diarmaid</td>
<td>LAB<br>2,222</td>
</tr>
<tr>
<td>Kalaam, Muhammad</td>
<td>LAB<br>1,206</td>
<td>Chan, Jenni Ms.</td>
<td>GRE<br>995</td>
</tr>
<tr>
<td>Horten, Julie Ms.*</td>
<td>LD<br>1,204</td>
<td>Poyner, Claire Ms.</td>
<td>GRE<br>905</td>
</tr>
<tr>
<td>Stacy, Terry*</td>
<td>LD<br>1,185</td>
<td>Whitehead, Ciaran</td>
<td>GRE<br>837</td>
</tr>
<tr>
<td>Gilbert, John*</td>
<td>LD<br>1,138</td>
<td>Dunn, Margot J. Ms.</td>
<td>LD<br>564</td>
</tr>
<tr>
<td>Kiss, Charlie</td>
<td>GRE<br>867</td>
<td>Kelly, David J.</td>
<td>LD<br>519</td>
</tr>
<tr>
<td>Rustin, Susanna Ms.</td>
<td>GRE<br>721</td>
<td>Smith, Paul M.</td>
<td>LD<br>462</td>
</tr>
<tr>
<td>Coleman, Connor A.</td>
<td>CON<br>411</td>
<td>Junction<br>Turnout 38.4%</td>
<td></td>
</tr>
<tr>
<td>Williams, Christopher J. H.</td>
<td>CON<br>375</td>
<td>Burgess, Janet Ms.*<br>Makarau Schwartz, Kaya Ms.</td>
<td>LAB<br>2,228<br>LAB<br>1,938</td>
</tr>
<tr>
<td>Clough, Greg</td>
<td>UKIP<br>247</td>
<td>Nicholls, Tim<br>Junction 2 LAB gains from LD</td>
<td>LAB<br><u style="text-decoration: underline;">1,779</u></td>
</tr>
<table border="1">
<thead><tr><th>Highbury West<br>No change</th><th colspan="2">Turnout 39.7%</th><th colspan="2">Turnout 38.4%</th></tr></thead><tbody><tr><td><strong>Debono, Theresa Ms.*<br></strong></td><td style="text-align: center;">LAB<br><u style="text-decoration: underline;">2,680</u></td><td style="text-align: center;">Renwick, Jill Ms.</td><td style="text-align: center;">LAB<br><u style="text-decoration: underline;">2,228</u></td></tr><tr><td><strong>Greening, Richard*</strong></td><td style="text-align: center;">LAB<br><u style="text-decoration: underline;">2,549</u></td><td style="text-align: center;">Holloway, Mick</td><td style="text-align: center;">GRE<br><u style="text-decoration: underline;">717</u></td></tr><tr><td>Hull, Andy*</td><td style="text-align: center;">LAB<br><u style="text-decoration: underline;">2,336</u></td><td style="text-align: center;">Hudson, Daniel</td><td style="text-align: center;">GRE<br><u style="text-decoration: underline;">621</u></td></tr><tr><td>Sharpe, Rosalind Ms.</td><td style="text-align: center;">GRE<br>1,074</td><td style="text-align: center;">Collins, Michael</td><td style="text-align: center;">CON<br><u style="text-decoration: underline;">361</u></td></tr><tr><td>Jegorovas, Ernestas</td><td style="text-align: center;">GRE<br>1,046</td><td style="text-align: center;">Kasprzyk, Stefan A.</td><td style="text-align: center;">LD<br><u style="text-decoration: underline;">333</u></td></tr><tr><td>Myer, Andrew</td><td style="text-align: center;">GRE<br>1,011</td><td style="text-align: center;">Bhalla, Riddhi</td><td style="text-align: center;">CON<br><u style="text-decoration: underline;">320</u></td></tr><tr><td>Burghart, Alex</td><td style="text-align: center;">CON<br>569</td><td style="text-align: center;">Waghorn, Oliver P. J.</td><td style="text-align: center;">CON<br><u style="text-decoration: underline;">314</u></td></tr><tr><td>Rooke, James CON 553 Gamba Giorgia Ms.</TD></tr><tr><TD rowspan='3'>Philip, Simon CON 551 Savvides Victoria Ms. Cooke, Ed LD 439 Martin Bill Middleton Philip D. LD 354 Mann Gabby Ms. LD 345 Mildmay Turnout 36.7%</TD></tr></tbody></table>
<table border="1">
<thead><tr><th>Hillrise<br>2 LAB gains from LD</th><th colspan="2">Turnout 41.9%</th></tr></thead><tbody><tr><th rowspan='8' colspan='3'>Mildmay 1 LAB gain from LD Caluori Joe* Kay Jenny Ms. LAB 2,041 LAB 2,020 Parker Olly LAB 1,898 Nott Jon GRE 613 Powell Malcolm GRE 575 Ross Dudley GRE 570 Davies Benjamin R. CON 366 Whittaker Julie Ms. LD 354 Eldridge Alexandra C. Ms. CON 343 Ozen Turhan LD 279 Small Angus UKIP 277 Moyes Martin R. C. CON 265 Symes Paul LD 255 Esen Omer TUSC 159 </th></tr>
<table border="1">
<thead><tr><th colspan='3'>Spall, Marian Ms.*<br>Ngongo, Michelline Ms.<br>Poyser Dave LAB 2,065 LAB 1,930 LAB 1,925 Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead Mary Ms. Rendall Alex Greeland Lorraine Ms.*<br>Louise Jones Carli LD 959 LD 856 LD 761 Kaufman Victor Forbes Jayne Ms. Adshead MaryMs Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MS Greeland Lorraine MSGreland lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanee lloanne e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e
<page_number>104</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Islington
<table>
<thead>
<tr>
<td></td>
<td>Turnout 42.1%</td>
<td>St. Peter's</td>
<td>Turnout 38.2%</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>St. George's</strong><br><em>2 LAB gains from LD</em></td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Fletcher, Kat Ms.*</td>
<td>LAB<br>2,402</td>
<td>Klute, Martin*</td>
<td>LAB<br>1,738</td>
</tr>
<tr>
<td>Gill, Satnam</td>
<td>LAB<br>2,121</td>
<td>Doolan, Gary*</td>
<td>LAB<br>1,721</td>
</tr>
<tr>
<td><strong>Ward, Nick</strong></td>
<td><strong>LAB</strong><br><em>1,975</em></td>
<td>Perry, Alice Ms.*</td>
<td><strong>LAB</strong><br><em>1,650</em></td>
</tr>
<tr>
<td>Ismail, Tracy A. Ms.*</td>
<td>LD<br>984</td>
<td>Williams, Evan J.</td>
<td>CON<br>724</td>
</tr>
<tr>
<td>Mably, Deborah Ms.</td>
<td>GRE<br>814</td>
<td>Hutchinson, Oriel S. Ms.</td>
<td>CON<br>709</td>
</tr>
<tr>
<td>Gregory, Julian T.</td>
<td>LD<br>743</td>
<td>Napier, Patricia J. Ms.</td>
<td>CON<br>708</td>
</tr>
<tr>
<td>Wren, Bernadette Ms.</td>
<td>GRE<br>721</td>
<td>Coffey, Michael</td>
<td>GRE<br>674</td>
</tr>
<tr>
<td>Thomas, Alice B. Ms.</td>
<td>LD<br>719</td>
<td>Pasteur, Veronica Ms.</td>
<td>GRE<br>453</td>
</tr>
<tr>
<td>Hamdache, Benali</td>
<td>GRE<br>683</td>
<td>Spurrier, Christian</td>
<td>GRE<br>418</td>
</tr>
<tr style="border-top: 1px solid black;">
<td><strong>St. Mary's</strong><br><em>1 LAB gain from LD</em></td>
<td><strong>Turnout 36.3%</strong></td>
<td></td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Picknell, Angela Ms.</td>
<td>LAB<br><em>1,719</em></td>
<td></td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Poole, Gary*</td>
<td>LAB<br><em>1,581</em></td>
<td>Tollington<br>No change</td>
<td><strong>Turnout 38.6%</strong></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Turan, Nurullah</td>
<td>LAB<br><em>1,460</em></td>
<td></td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Allen, Caroline Ms.</td>
<td>GRE<br>729</td>
<td><strong>Weatts, Richard*</strong></td>
<td><strong>LAB</strong><br><em>2,355</em></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Duke, Thomas R. M.</td>
<td>CON<br>559</td>
<td><strong>Williamson, Flora Ms.</strong></td>
<td><strong>LAB</strong><br><em>2,320</em></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Joseph, Mags Ms.</td>
<td>CON<br>554</td>
<td><strong>Kaseki, Jean R.* </strong></td>
<td><strong>LAB </strong><br><em>2,302 </em></td>
</tr>
<tr style="border-top: 1px solid black;">
<th>Lim, Victoria A. Ms.</th><th style="text-align:right;">CON<br><em>528 </em></th><th style="text-align:left;">Boater; Ann Ms.</th><th style="text-align:right;">GRE<br><em>1,006 </em></th></tr>
<tr style="border-top: 1px solid black;">
<th>Leanman, Sydneyn </th><th style="text-align:right;">GRE<br><em>498 </em></th><th style="text-align:left;">Green; Rosie Ms.</th><th style="text-align:right;">GRE<br><em>951 </em></th></tr>
<tr style="border-top: 1px solid black;">
<th rowspan="2">Williams, Adrian<br colspan="4" style="text-align:center;"></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>Horne, Stephen </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>Polling; Ruth L. Ms.</strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>Allan; George E.<br colspan="4" style="text-align:center;"></strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>Heseltine; Richard M. H.<br colspan="4" style="text-align:center;"></strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>Manners; Nick<br colspan="4" style="text-align:center;"></strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>Theope; David<br colspan="4" style="text-align:center;"></strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><strong>LD </strong></th></tr>
<tr style="border-top: 1px solid black;"><th rowspan="2"><<strong>LD </br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/></br colspan=4 align=center/>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>105</page_number>
**By-elections**
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>St. Peter's</strong></td>
<td><strong>Turnout 24.8%</strong></td>
<td><strong>Junction</strong></td>
<td><strong>Turnout 24.2%</strong></td>
</tr>
<tr>
<td><em>11 August 2011</em></td>
<td>No change</td>
<td><em>21 March 2013</em></td>
<td><em>LAB gain from LD</em></td>
</tr>
<tr>
<td><strong>Perry, Alice Ms.</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,167</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,343</strong></td>
</tr>
<tr>
<td>Sant, David</td>
<td>LD</td>
<td>440</td>
<td>Holloway, Mick</td>
<td>GRE</td>
<td>381</td>
</tr>
<tr>
<td>Bunting, Richard</td>
<td>CON</td>
<td>381</td>
<td>Kasprzyk, Stefan A.</td>
<td>LD</td>
<td>276</td>
</tr>
<tr>
<td>Allen, Caroline Ms.</td>
<td>GRE</td>
<td>176</td>
<td>Napier, Patricia J. Ms.</td>
<td>CON</td>
<td>120</td>
</tr>
<tr>
<td>Rutherford, Martin</td>
<td>IND</td>
<td>59</td>
<td>Townsend, Gary</td>
<td>BNP</td>
<td>31</td>
</tr>
<tr>
<td colspan="5"><em>Resignation of Coupland, Michelle M. Ms. (LAB)</em></td>
<td>Martin, Bill</td>
<td>SP</td>
<td>18</td>
</tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>Islington</strong></th><br><em>Resignation of Graves, Arthur T. (LD)</em></th><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>St. Mary's</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>10 November 2011<br>No change<br>Poole, Gary<br>Fieran-Reed, Emily Ms.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>St George's<br>21 March 2013<br>No change<br>Fletcher, Kat Ms.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAB<br>1,128<br>No change<br>Russell, Caroline Ms.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>St George's<br>No change<br>Gregory, Julian<br>Nott, Jon R.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAB<br>1,698<br>No change<br>Hutchinson, Oriel<br>BNP<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>22<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><strong>LAD<br>No change<br>Dickson, Jonathan<br>Barnfoot, Walter G.</strong></th></tr>
<tr style="border-top: double;">
<td colspan="5" style="text-align: center;"><<strong>LAD </stong
<page_number>39.5%</stong
<page_number>No change
<page_number>Ismail Rakhia
<page_number>LAB
<page_number>2352
<page_number>Edwards Jonathan
<page_number>CON
<page_number>671
<page_number>Poyner Claire Ms.
<page_number>GRE
<page_number>613
<page_number>Kelly David
<page_number>LD
<page_number>490
<page_number>Resignation of Rigby Lucy C.M. Ms. (LAB)
<page_number>Holloway
<page_number>03 May 2012
<page_number>No change
<page_number>106</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Kensington and Chelsea**
Conservative administration
<img>A map of Kensington and Chelsea showing the boundaries of each ward and the party affiliations of the councillors. The wards are colour-coded to show their party affiliation: Conservative (blue), Labour (red), Conservative/Liberal Democrat (green). The ward names are listed below the map.</img>
<table>
<thead>
<tr>
<td></td>
<td colspan="3">State of the parties, 1964-2014</td>
<td colspan="5">% share of the poll, 1964-2014</td>
</tr>
<tr>
<td></td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
<td>total</td>
<td>% poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>37</td>
<td>12</td>
<td>1</td>
<td>-</td>
<td>50</td>
<td>22.5.14</td>
<td>30.3</td>
<td>52.9</td>
<td>27.1</td>
<td>10.4</td>
<td>9.6</td>
</tr>
<tr>
<td>6.5.10</td>
<td>43</td>
<td>9</td>
<td>2</td>
<td>-</td>
<td>54</td>
<td>6.5.10</td>
<td>47.6</td>
<td>52.8</td>
<td>21.6</td>
<td>20.6</td>
<td>5.0</td>
</tr>
<tr>
<td>4.5.06</td>
<td>45</td>
<td>9</td>
<td>-</td>
<td>-</td>
<td>54</td>
<td>4.5.06</td>
<td>29.0</td>
<td>61.6</td>
<td>18.8</td>
<td>14.5</td>
<td>5.2</td>
</tr>
<tr>
<td>2.5.02</td>
<td>42</td>
<td>12</td>
<td>-</td>
<td>-</td>
<td>54</td>
<td>2.5.02</td>
<td>37.7</<td><span style="color:#8B8B8B;">88.5%</span></span><br><span style="color:#8B8B8B;">3.8%</span><br><span style="color:#8B8B8B;">7.7%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#8B8B8B;">0.0%</span><br><span style="color:#FFA5E3;">13%<br>(<strong style="font-weight:bold;">13%<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)<br>(<strong style="font-weight:bold;">)</strong>)
</th></tr>
<tr id='table_row_1'>
<td rowspan='3' class='table_header'>General statistics<br>Kensington and Chelsea<br>London<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>Electorate<br>E lectorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electorat e electo rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato rato raro tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao tao ta ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota ota o ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta ta te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te te ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete ete etea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea ea eaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeeeaeaaeee aeaaaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaeeeeaEEEEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAEAE AEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEAEEAEA EEAAEAEEEAEEEAEEEAEEEAEEEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EEAAEA EE AA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA EA E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E A E AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI AI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI IAIAI
</th></tr>
<tr id='table_row_2'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_3'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_4'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_5'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_6'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_7'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_8'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_9'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_10'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_11'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_12'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_13'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_14'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_15'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_16'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_17'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_18'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_19'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_20'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_21'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_22'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_23'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_24'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_25'>
<td rowspan='3' class='table_header'>General statistics
</th></tr>
<tr id='table_row_26'>
<td rowspan '
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>107</page_number>
**% share of the poll**
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Abingdon</strong></td>
<td>22.5.14</td>
<td>30.2</td>
<td>65.6</td>
<td>12.5</td>
<td>9.2</td>
<td>12.6</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>Kensington and Chelsea</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>48.8</td>
<td>60.3</td>
<td>11.9</td>
<td>27.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr>
<td><strong>Brompton</strong></td>
<td></td>
<td>28.6.12</td>
<td>n/a</td>
<td>70.3</td>
<td>11.1</td>
<td>10.9</td>
<td>--</td>
<td>7.7</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>9.6.11</td>
<td>n/a</td>
<td>79.6</td>
<td>11.0</td>
<td>9.4</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>39.9</td>
<td>68.9</td>
<td>11.9</td>
<td>19.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<th><strong>Brompton and Hans Town Campden Colville Courtfield Cremorne Dalgarno Earl's Court Golborne Hans Town Holland Norland Notting Barns Notting Dale Pembridge Queen's Gate Redcliffe Royal Hospital St Charles St Helen's Stanley </strong></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th><strong>Kensington and Chelsea<br/></strong><br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/>Date<br/></tr><tr style="background-color: #f0f0f0;">
<th>%poll<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr><tr style="background-color: #f0f0f0;">
<th>CON<br/></tr><tr style="background-color: #f0f0f0;">
<th>LAB<br/></tr><tr style="background-color: #f0f0f0;">
<th>LD<br/></tr><tr style="background-color: #f0f0f0;">
<th>GRE<br/></tr><tr style="background-color: #f0f0f0;">
<th>BNP<br/></tr><tr style="background-color: #f0f0f0;">
<th>UKIP<br/></tr><tr style="background-color: #f0f0f0;">
<th>IND<br/></tr><tr style="background-color: #f0f0f0;">
<th>REA Others<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">--<br/></tr><tr style="background-color: #eaeaea">
<thead style="">
<tbody style="">
<tr style=""><span class="">Kensington and Chelsea </span> <span class="">Kensington and Chelsea </span> <span class="">Kensington and Chelsea </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span> <span class="">Kensington and Chelsea & </span>&...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<div>...</div>...<</table
<page_number>108</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# Results
**Kensington and Chelsea**
<table>
<thead>
<tr>
<th></th>
<th>Turnout 30.2%</th>
<th>Colville</th>
<th>Turnout 32.0%</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Abingdon</strong></td>
<td></td>
<td>2 LAB gains from LD</td>
<td></td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Borwick, Victoria L. P. Ms.*</td>
<td>CON<br>1,281</td>
<td>Press, Monica A. Ms.</td>
<td>LAB<br>834</td>
</tr>
<tr>
<td>Gardner, Joanna M. Ms.*</td>
<td>CON<br>1,202</td>
<td>Littler, Harrison</td>
<td>LAB<br>830</td>
</tr>
<tr>
<td>Husband, James A.*</td>
<td>CON<br>1,199</td>
<td>Lomas, Andrew P.</td>
<td>LAB<br>724</td>
</tr>
<tr>
<td>Corbett, Anne Ms.</td>
<td>LAB<br>260</td>
<td>Caruana, Carol Ms.*</td>
<td>LD<br>520</td>
</tr>
<tr>
<td>Alkaff, Tima Ms.</td>
<td>LAB<br>245</td>
<td>Bourgoin-Heska, Tiffany Ms.</td>
<td>CON<br>506</td>
</tr>
<tr>
<td>Alocceri, Enrique J.</td>
<td>GRE<br>236</td>
<td>North, Lloyd L.</td>
<td>CON<br>504</td>
</tr>
<tr>
<td>Sterling, William K.</td>
<td>LAB<br>199</td>
<td>Woodger, Maxwell</td>
<td>CON<br>492</td>
</tr>
<tr>
<td>Good, Jeremy A.</td>
<td>LD<br>181</td>
<td>O'Neil, Dez*</td>
<td>IND<br>455</td>
</tr>
<tr>
<td>Owen, Jonathan R.</td>
<td>LD<br>163</td>
<td>Jones, Tim*</td>
<td>LD<br>358</td>
</tr>
<tr style="border-top: 1px solid black;">
<td><strong>Brompton and Hans Town New ward in 2014</strong></td>
<td><strong>Turnout 24.3%</strong></td>
<td></td><td></td></tr>
<tr style="border-top: 1px solid black;">
<td><strong>Coleridge, Timothy R.* </strong></td><td><strong>CON<br>1,255</strong></td><td><strong>Courtfield </strong></td><td><strong>Turnout 24.8%</strong></td></tr>
<tr style="border-top: 1px solid black;">
<td><strong>Paget-Brown, Nicholas* </strong></td><td><strong>CON<br>1,139</strong></td><td><strong>No change </strong></td><td></td></tr>
<tr style="border-top: 1px solid black;">
<td><strong>Weale, Mary C. Ms.* </strong></td><td><strong>CON<br>1,109</strong></td><td><strong>Coates, Anthony*</strong></td><td><strong>CON<br>1,188 </strong></td></tr>
<tr style="border-top: 1px solid black;">
<td>Hall, Philip</td><td>LAB<br>230</td><td>Rutherford, Elizabeth R. Ms.* CON N.J.* </td><td><strong>CON<br>1,108 </strong></td></tr>
<tr style="border-top: 1px solid black;">
<td>Adlard, St J.</td><td>LAB<br>226</td><td>Marshall, Quentin N. J.* </td><td><strong>CON<br>1,097 </strong></td></tr>
<tr style="border-top: 1px solid black;">
<td>Saidoune, Sofiane S.</td><td>LAB<br>207</td><td>Arnold, Lesley-Anne Ms.</td><td>LAB<br>270</td></tr>
<tr style="border-top: 1px solid black;">
<td>Denman, Moya</td><td>LD<br>150</td><td>Morris, Norma F. Ms.</td><td>LAB<br>240</td></tr>
<tr style="border-top: 1px solid black;">
<td>Smith, Iain A.</td><td>IND<br>147</td><td>Pearcock, Norma Ms.</td><td>LD<br>240</td></tr>
<tr style="border-top: 1px solid black;">
<td>Campden No change</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="3">Turnout 30.3%</th>
<th colspan="3">Turnout 34.1%</th>
<th colspan="3">Turnout 31.8%</th>
<th colspan="3">Turnout 38.7%</th>
<th colspan="3">Turnout 36.6%</th>
<th colspan="3">Turnout 37.6%</th></tr>
<tbody style="background-color: #ffffff;">
<tr style="background-color: #ffffff;">
<th>Ahern, Tim R.T.M.*<br>Faulks, Catherine Ms.<br>Freeman, Robert J.*<br>Moran, Andrew<br>Congreve, Priscilla A. Ms.<br>O'Brien, Michael<br>Zhubi, Besart Chelsea Riverside New ward in 2014 Berrill-Cox, Adrian L.<br>Dondon-Simmonds,<br>Malghazad<highlight>Berrill-Cox Adrian L.</highlight>,<br>Hargreaves, Gerard N.<br>Briggs, Richard Cameron, Robert Faulkner, Molly Ms.<br>Harris, Mary Ms.<br>Marsden, Alastair Drake, John Condon-Simmonds Malghazad Hargreaves Gerard N Briggs Richard Cameron Robert Faulkner Molly Ms Harris Mary Ms Marsden Alastair Drake John CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Condon-Simmonds Malghazad Hargreaves Gerard N Briggs Richard Cameron Robert Faulkner Molly Ms Harris Mary Ms Marsden Alastair Drake John
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="3">New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014 New ward in 2014
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earl's Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Court Earls Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Court Earls Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="none" cellspacing="none" cellpadding="none">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th colspan="3">Earl's Cour
<table border="" cellspacing="" cellpadding="" cellspacing="" cellpadding="">
<thead style="" cellspacing="" cellpadding="">
<tr style="" cellspacing="" cellpadding="">
<th colspan="" cellspacing="" cellpadding="">Earl's Cour
<table border="" cellspacing="" cellpadding="" cellspacing="" cellpadding="">
<thead style="" cellspacing="" cellpadding="">
<tr style="" cellspacing="" cellpadding="">
<th colspan="" cellspacing="" cellpadding="">Earl's Cour
<table border="" cellspacing="" cellpadding="" cellspacing="" cellpadding="">
<thead style="" cellspacing="" cellpadding="">
<tr style="" cellspacing="" cellpadding="">
<th colspan="" cellspacing="" cellpadding="">Earl's Cour
<table border="" cellspacing="" cellpadding="" cellspacing="" cellpadding="">
<thead style="" cellspacing="" cellpadding="">
<tr style="" cellspacing="" cellpadding="">
<th colspan="" cellspacing="" cellpadding="">Earl's Cour
<table border="" cellspacing="" cellpadding="" cellspacing="" cellpadding="">
<thead style="" cellspacing=""
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>109</page_number>
<table>
<thead>
<tr>
<td>Golborne<br>No change</td>
<td>Turnout 28.8%</td>
<td>Pembridge<br>1 fewer seat in ward</td>
<td>Turnout 27.4%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Dent, Coad, Emma Ms. *</td>
<td>LAB<br>1,229</td>
<td>Campbell, Barbara*</td>
<td>CON<br>786</td>
</tr>
<tr>
<td>Mason, Pat*</td>
<td>LAB<br>1,223</td>
<td>Campion, David G.*</td>
<td>CON<br>731</td>
</tr>
<tr>
<td>Powell, Bevan</td>
<td>LAB<br>1,099</td>
<td>Robson, Christine Ms.</td>
<td>LAB<br>276</td>
</tr>
<tr>
<td>Parker, Benjamin C.</td>
<td>GRE<br>260</td>
<td>Tod, Caroline Ms.</td>
<td>LAB<br>239</td>
</tr>
<tr>
<td>Edge, Jeremy O. C.</td>
<td>CON<br>256</td>
<td>Coxon, Ann Y. Ms.</td>
<td>LD<br>180</td>
</tr>
<tr>
<td>Panzone, Melanie A. Ms.</td>
<td>CON<br>243</td>
<td>Sharman, Thomas</td>
<td>LD<br>126</td>
</tr>
<tr>
<td>Chauhan, Max</td>
<td>CON<br>237</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Montgomerie-Anderson, Thee</td>
<td>IND<br>117</td>
<td>Queen's Gate<br>Turnout 25.8%</td>
<td></td>
</tr>
<tr>
<td>Owen, Frances Ms.</td>
<td>LD<br>115</td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Somers, Rosemary Ms.</td>
<td>LD<br>67</td>
<td>Mackover, Sam*</td>
<td>CON<br>1,123</td>
</tr>
<tr>
<td>Holland<br>No change</td>
<td>Turnout 28.4%</td>
<td>Moylan, Daniel M. G.*<br>Louvros, Annabelle Ms.</td>
<td>CON<br>1,093<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
</tr>
<tr>
<td>Collinson, Deborah A. Ms. *</td>
<td>CON<br>1,045</td>
<td>Manasseh, Philippa J. Ms.</td>
<td>LD<br>194</td>
</tr>
<tr>
<td>Lightfoot, Warwick M.*<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th colspan="2">Felding-Mellin, Rock *</th></tr></tbody></table></tr></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table/></div>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="3" style="font-size: large;">Kensington and Chelsea</th>
</tr>
</thead>
<tbody style="padding-left: 20px;">
<tr style="text-align: center;">
<th style="font-size: large;">Norland<br>No change for 2014 election (see below)</th>
<th style="font-size: large;">Turnout 35.9%</th>
<th style="font-size: large;">Royal Hospital<br>No change for 2014 election (see below)</th>
<th style="font-size: large;">Turnout 31.1%</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Notting Dale<br>New ward in 2014</th>
<th style="font-size: large;">Turnout 34.4%</th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Blakeman, Judith M. Ms. *</th>
<th style="font-size: large;">LAB<br>1,446</th>
<th style="font-size: large;">Campbell, Elizabeth J. Ms. *</th>
<th style="font-size: large;">CON<br>1,622</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Atkinson, Robert *</th>
<th style="font-size: large;">LAB<br>1,377</th>
<th style="font-size: large;">Will, Emma W. Ms. *</th>
<th style="font-size: large;">CON<br>1,564</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Lasharie, Beini*</th>
<th style="font-size: large;">LAB<br>1,309</th>
<th style="font-size: large;">Rinker, Andrew</th>
<th style="font-size: large;">CON<br>1,473</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Bell, Nicholas E.</th>
<th style="font-size: large;">CON<br>507</th>
<th style="font-size: large;">Chute, Richard D.</th>
<th style="font-size: large;">LAB<br>268</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Ducker, Sarah J. Ms.</th>
<th style="font-size: large;">CON<br>453</th>
<th style="font-size: large;">Elnaghi, Marwan</th>
<th style="font-size: large;">LAB<br>236</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;">Kumar, Sasi*</th>
<th style="font-size: large;">CON<br>431</th>
<th style="font-size: large;">Pocock, Penny Ms.</th>
<th style="font-size: large;">LD<br>185</th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
</tr>
<tr style="text-align: center;">
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<th style="font-size: large;"></th>
<thal colspan='2' align='center'>Notting Dale - New ward in 2014 (see below)</thal>
</tr>
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<page_number>110</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Kensington and Chelsea**
<table>
<thead>
<tr>
<td>St. Helen's New ward in 2014</td>
<td>Turnout 34.2%</td>
<td>Stanley No change</td>
<td>Turnout 33.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Allison, Eve Ms.</td>
<td>CON 684</td>
<td>Cockell, Merrick R. * CON 1,352</td>
</tr>
<tr>
<td>Bakhtiar, Mohammed</td>
<td>LAB 683</td>
<td>Pascall, William B. * CON 1,292</td>
</tr>
<tr>
<td>Wilkins, Nigel C.</td>
<td>LAB 640</td>
<td>Warrick, Paul T. P. * CON 1,284</td>
</tr>
<tr>
<td>Hargreaves, Ian L.</td>
<td>CON 622</td>
<td>Barshall, Andrew M. IND 486</td>
</tr>
<tr>
<td>Tatton-Brown, Alexandra M. Ms.</td>
<td>LD 158</td>
<td>Henderson, Ian B. IND 479</td>
</tr>
<tr>
<td>Mayers, Patrick G.</td>
<td>LD 100</td>
<td>Schumi, Heinz A. IND 411</td>
</tr>
<tr>
<td></td>
<td></td>
<td>Francis, Luke R. LAB 304</td>
</tr>
<tr>
<td></td>
<td></td>
<td>Warren, Gregory LAB 285</td>
</tr>
<tr>
<td></td>
<td></td>
<td>Wheatley, Benjamin LAB 259</td>
</tr>
</tbody>
</table>
**By-elections**
<table border="1">
<thead>
<tr><th>Holland<br>22 July 2010</th><th>Turnout 14%<br>No change</th><th>Brompton<br>09 June 2011<br>No change</th></tr>
</thead>
<tbody>
<tr><td>Feilding-Mellen, Rock<br>Wilson, Martin<br>Bovill, Jack<br>Resignation of Hanham, Joan B. Ms. (CON)</td><td>CON 649<br>LD 146<br>IND 70<br>Death of Hanham, Iain W.F. (CON)</td><td>Mosley, Louis CON 728<br>Sautter, Mark D. LAB 101<br>Harris, Mary T. L. Ms. LD 86</td></tr>
</tbody>
</table>
<table border="1">
<thead>
<tr><th>Cremorne<br>16 September 2010<br>No change</th><th>Turnout 24.9%</th><th>Queen's Gate<br>09 June 2011<br>No change</th></tr>
</thead>
<tbody>
<tr><td>Hargreaves, Gerard<br>McKeown, Mabel Ms.<br>Kosta, Peter<br>Stephenson, Julia Ms.<br>Coburn, David<br>Resignation of Daley, Mark P. (CON)</td><td>CON 602<br>LAB 583<br>LD 180<br>CRE 51<br>UKIP 46<br>Death of Dalton, Andrew S. (CON)</td><td>Mackover, Sam CON 663<br>Blamey, John LD 100<br>Stirling, Keith LAB 82<br>Coburn, David UKIP 54</td></tr>
</tbody>
</table>
<table border="1">
<thead>
<tr><th>Earls Court<br>16 September 2010<br>LD gain from CON</th><th>Turnout 24%</th><th>Norland<br>06 October 2011<br>No change</th></tr>
</thead>
<tbody>
<tr><td rowspan="7">Wade, Linda Ms.<br>Spalding, Malcolm<br>Bishop, Joel<br>Arbuthnot, Elizabeth M. Ms.<br>Bovill, Jack<br>Enright, Michael<br>Little, Antony<br>Resignation of Phelps, Barry (CON)</td><td rowspan="7">LD 703<br>CON 594<br>LAB 151<br>IND 49<br>CRE 29<br>LTD 26<br>UKIP 18<br>Brompton 28 June 2012 No change Barkhordar, Abbas CON 650 Sautter, Mark LAB 103 Denman, Moya Ms. LD 101 Coburn, David UKIP 71 Death of Ritchie, Shireen O. Ms. (CON)</td></tr>
<tr><td>Lasharee, Beinazir Ms.</td></tr>
<tr><td>Kosta, Peter</td></tr>
<tr><td>Coburn, David</td></tr>
<tr><td></td></tr>
<tr><td></td></tr>
<tr><td></td></tr>
<tr><td>Faulks, Catherine Ms.</td></tr>
<tr><td>Sautter, Mark IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND INDIINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDINDDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNIDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANNAANANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAANAAnaAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAnAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaAAaNnNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNnNaNn NaNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsNsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSsSSsssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>111</page_number>
**Kingston upon Thames**
Conservative administration
<img>A map of Kingston upon Thames showing the results of the 2014 local election. The map is divided into 16 electoral wards, each represented by a different colour. The colours are as follows:
- Conservative: Blue
- Liberal Democrat: Yellow
- Conservative/Liberal Democrat: Green
- Labour/Liberal Democrat: Red
The ward boundaries are also shown in black.
The ward names are as follows:
1. Alexandra
2. Berrylands
3. Beverley
4. Canbury
5. Chessington North and Hook
6. Chessington South
7. Coombe Hill
8. Coombe Vale
9. Grove
10. Norbiton
11. Old Malden
12. St James
13. St Mark's
14. Surbiton Hill
15. Worth and Hook
16. Tudor
The ward boundaries are as follows:
- 1: Alexandra
- 2: Berrylands
- 3: Beverley
- 4: Canbury
- 5: Chessington North and Hook
- 6: Chessington South
- 7: Coombe Hill
- 8: Coombe Vale
- 9: Grove
- 10: Norbiton
- 11: Old Malden
- 12: St James
- 13: St Mark's
- 14: Surbiton Hill
- 15: Worth and Hook
- 16: Tudor
The ward boundaries are as follows:
- 1: Alexandra
- 2: Berrylands
- 3: Beverley
- 4: Canbury
- 5: Chessington North and Hook
- 6: Chessington South
- 7: Coombe Hill
- 8: Coombe Vale
- 9: Grove
- 10: Norbiton
- 11: Old Malden
- 12: St James
- 13: St Mark's
- 14: Surbiton Hill
- 15: Worth and Hook
- 16: Tudor
The ward boundaries are as follows:
- 1: Alexandra
- 2: Berrylands
- 3: Beverley
- 4: Canbury
- 5: Chessington North and Hook
- 6: Chessington South
- 7: Coombe Hill
- 8: Coombe Vale
- 9: Grove
- 10: Norbiton
- 11: Old Malden
- 12: St James
- 13: St Mark's
- 14: Surbiton Hill
- 15: Worth and Hook
- 16: Tudor
The ward boundaries are as follows:
- 1: Alexandra
- 2: Berrylands
- 3: Beverley
- 4: Canbury
- 5: Chessington North and Hook
- 6: Chessington South
- 7: Coombe Hill
- 8: Coombe Vale
- 9: Grove
- 10: Norbiton
- 11: Old Malden
- 12: St James
- 13: St Mark's
- 14: Surbiton Hill
- 15: Worth and Hook
- 16: Tudor
The ward boundaries are as follows:
- 1: Alexandra
- 2: Berrylands
- 3: Beverley
- 4: Canbury
- 5: Chessington North and Hook
- 6: Chessington South
- 7: Coombe Hill
- 8: Coombe Vale
- 9: Grove
112 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**% share of the poll**
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Alexandra</strong></td>
<td>22.5.14</td>
<td>46.4</td>
<td>34.5</td>
<td>13.2</td>
<td>26.3</td>
<td>9.3</td>
<td>-</td>
<td>14.6</td>
<td>-</td>
<td>-<br><strong>2.2</strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>71.4</td>
<td>41.5</td>
<td>10.5</td>
<td>39.3</td>
<td>6.8</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td><strong>1.9</strong></td>
</tr>
<tr>
<td><strong>Berrylands</strong></td>
<td>22.5.14</td>
<td>47.7</td>
<td>33.3</td>
<td>10.9</td>
<td>32.0</td>
<td>11.6</td>
<td>-<br><strong>10.5</strong></td>
<td>-<br><strong>- 7.1</strong></td>
<td>-<br><strong>- 7.1</strong></td>
<td>-<br><strong>- 1.7</strong></td>
</tr>
<tr>
<td></td>
<td>28.2.13</td>
<td>34.5</td>
<td>37.0<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>18.6<br>38.7<br>4.6<br>-<strong>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.1<br>- 7.</td>
<td rowspan="2">-<strong>-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- ---- </td>
<td rowspan="2">-<strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><strong>-- </strong></td>
<td rowspan="2"><<strong>-- </str/></table>
<table border="0">
<tr style="background-color: #f0f0f0;">
<th colspan="3" style="text-align: center;">Kingston upon Thames</th>
<th colspan="3" style="text-align: center;">LONDON BOROUGH COUNCIL ELECTIONS MAY 2014</th>
<th colspan="3" style="text-align: center;"></th>
<th colspan="3" style="text-align: center;"></th>
<th colspan="3" style="text-align: center;"></th>
<th colspan="3" style="text-align: center;"></th>
<th colspan="3" style="text-align: center;"></th>
<th colspan="3" style="text-align: center;"></th>
<th colspan="3" style="text-align: center;"></th>
<table border="0">
<thead>
<tr style='border-bottom: double;'>
<th style='padding-right: .5em;'>Date</th>
<th style='padding-right: .5em;'>%poll</th>
<th style='padding-right: .5em;'>CON</th>
<th style='padding-right: .5em;'>LAB</th>
<th style='padding-right: .5em;'>LD</th>
<th style='padding-right: .5em;'>GRE</th>
<th style='padding-right: .5em;'>BNP</th>
<th style='padding-right: .5em;'>UKIP</th>
<th style='padding-right: .5em;'>IND</th>
<th style='padding-right: .5em;'>REA Others</th>
<th style='padding-right: .5em;'>Alexandra (6,5,10)</th>
<th style='padding-right: .5em;'>Berrylands (6,5,10)</th>
<th style='padding-right: .5em;'>Beverley (6,5,10)</th>
<th style='padding-right: .5em;'>Canbury (6,5,10)</th>
<th style='padding-right: .5em;'>Chessington North & Hook (6,5,10)</th>
<th style='padding-right: .5em;'>Chessington South (6,5,10)</th>
<th style='padding-right: .5em;'>Coombe Hill (6,5,10)</th>
<th style='padding-right: .5em;'>Coombe Vale (6,5,10)</th>
<th style='padding-right: .5em;'>Grove (5,7,12)</th>
<th style='padding-right: .5em;'>Norbiton (6,5,10)</th>
<th style='padding-right: .5em;'>Old Malden (6,5,10)</th>
<th style='padding-right: .5em;'>St James (6,5,10)</th>
<th style='padding-right: .5em;'>St Mark's (6,5,10)</th>
<th style='padding-right: .5em;'>Surbiton Hill (6,5,10)</th>
<th style='padding-right: .5em;'>Tolworth and Hook Rise (6,5,10)</th>
<th style='padding-right: .5em;'>Tudor (6,5,10)</th>
<th style='padding-right: .5em;' colspan='9' align='center'>%</table>
<table border='0'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
<tbody align='left'>
<tr align='left'>
<table border='0'>
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<tbody align='left'>
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<tbody align='left'>
<tr align='left'>
<table border='0' cellspacing= 'none' cellpadding= 'none' width= 'auto' height= 'auto' valign= 'top' align= 'center' >
<tbody valign= 'top' align= 'center' cellspacing= 'none' cellpadding= 'none' width= 'auto' height= 'auto' valign= 'top' >
<tr valign= 'top' cellspacing= 'none' cellpadding= 'none' valign= 'top' width= 'auto' height= 'auto' valign= 'top' >
<tr valign= 'top' cellspacing= 'none' cellpadding= 'none' valign= 'top' width= 'auto' height= 'auto' valign= 'top' >
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<tr valign= 'top' cellspacing= 'none' cellpadding= '.
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>113</page_number>
**Results**
<table>
<thead>
<tr>
<th>Alexandra</th>
<th>Turnout 46.4%</th>
<th>Canbury</th>
<th>Turnout 44.3%</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">Kingston upon Thames</td>
</tr>
<tr>
<td>1 CON gain from LD</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Hudson, Richard *</td>
<td>CON<br>1,263</td>
<td>Craig, Andrea Ms. *</td>
<td>CON<br>1,419</td>
</tr>
<tr>
<td>George, Ian</td>
<td>CON<br>1,247</td>
<td>Austin, Geoff*</td>
<td>CON<br>1,360</td>
</tr>
<tr>
<td>Hayes, Chris</td>
<td>CON<br>1,188</td>
<td>Glasspool, David</td>
<td>CON<br>1,241</td>
</tr>
<tr>
<td>Kailasapillai, Haran</td>
<td>LD<br>991</td>
<td>Coley, Ryan</td>
<td>GRE<br>891</td>
</tr>
<tr>
<td>Houston, Neil</td>
<td>LD<br>937</td>
<td>Moll, Rebekah J. Ms.</td>
<td>LD<br>877</td>
</tr>
<tr>
<td>Townsend, Andy</td>
<td>LD<br>893</td>
<td>Redman, Charlie</td>
<td>GRE<br>839</td>
</tr>
<tr>
<td>Perham, Anthony</td>
<td>UKIP<br>521</td>
<td>Falchikov, Dan</td>
<td>LD<br>833</td>
</tr>
<tr>
<td>Corry, Marilyn F. Ms.</td>
<td>LAB<br>492</td>
<td>King, Andrew</td>
<td>LD<br>809</td>
</tr>
<tr>
<td>May, Paul R.</td>
<td>LAB<br>485</td>
<td>Cottrell, Tony</td>
<td>LAB<br>606</td>
</tr>
<tr>
<td>Jayasundera, Niranjan R. A.</td>
<td>LAB<br>441</td>
<td>Shabbeer, Tariq</td>
<td>GRE<br>580</td>
</tr>
<tr>
<td>Smith, Phil</td>
<td>GRE<br>331</td>
<td>Startup, Colin H.</td>
<td>LAB<br>477</td>
</tr>
<tr>
<td>Foote, Kelvin B.</td>
<td>TUSC<br>78</td>
<td>Tailor, Nisha R.</td>
<td>LAB<br>431</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Berrylands<br>1 CON gain from LD</td><td></td><td>Dennen, Timothy S. *</td><td>UKIP<br>391<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td></tr></tbody></table>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Abraham, Sushila Ms. *</th>
<th style="text-align: right;">LD<br style="font-size: 1.2em;">1,279 </th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Head, Mike<br style="font-size: 1.2em;">CON<br style="font-size: 1.2em;">1,273 </th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Johnson, Andy<br style="font-size: 1.2em;">CON<br style="font-size: 1.2em;">1,237 </th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Chesterman, Thomas<br style="font-size: 1.2em;">LD<br style="font-size: 1.2em;">1,194 </th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Woods, Emma Ms.<hr style="border-bottom: 1px solid black; width: 50%; margin-left: auto; margin-right: auto;"></th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Steed, Bob*</hr style="border-bottom: 1px solid black; width: 50%; margin-left: auto; margin-right: auto;"></th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Lake, Martin<br style="font-size: 1.2em;">GRE<br style="font-size: 1.2em;">426 </th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Flux, Toby<br style="font-size: 1.2em;">LAB<br style="font-size: 1.2em;">425 </th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Green, Lawrence R.<hr style="border-bottom: 1px solid black; width: 50%; margin-left: auto; margin-right: auto;"></th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Scargill, Paul J.<hr style="border-bottom: 1px solid black; width: 50%; margin-left: auto; margin-right: auto;"></th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Rasool, Amina Ms.<hr style="border-bottom: 1px solid black; width: 50%; margin-left: auto; margin-right: auto;"></th></tr></thead>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th style="text-align: left;">Savastio, Italo M.<hr style="border-bottom: 1px solid black; width: 50%; margin-left: auto; margin-right: auto;"></th></tr></thead>
<table style="width: 100%;">
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```html
<html lang='en'>
<head lang='en'>
<meta charset='UTF-8' />
<title>London Borough Council Elections Results - May 2014 - Kingston Upon Thames Constituency - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table - Results Table -ResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTableResultsTabl...
```
<page_number>114</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Kingston upon Thames**
<table>
<thead>
<tr>
<td></td>
<td></td>
<td>Turnout 37.8%</td>
<td>Norbiton</td>
<td>Turnout 39.4%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td>2 LAB gains from LD</td>
<td></td>
</tr>
<tr>
<td>Bass, Rowena Ms.</td>
<td>CON</td>
<td>1,537</td>
<td>Cottington, Linsey Ms.</td>
<td>LAB</td>
<td>1,013</td>
</tr>
<tr>
<td>Humphrey, Eric D.*</td>
<td>CON</td>
<td>1,458</td>
<td>Griffin, Sheila Ms.</td>
<td>LAB</td>
<td>988</td>
</tr>
<tr>
<td>Wallooppliati, Gaj*</td>
<td>CON</td>
<td>1,349</td>
<td>Brisbane, Bill</td>
<td>LD</td>
<td>847</td>
</tr>
<tr>
<td>Richardson, Sally Ms.</td>
<td>LAB</td>
<td>457</td>
<td>South, Laurie</td>
<td>LAB</td>
<td>844</td>
</tr>
<tr>
<td>Naylor, Edward W. J.</td>
<td>LAB</td>
<td>453</td>
<td>Shelton, Penny Ms. *</td>
<td>LD</td>
<td>796</td>
</tr>
<tr>
<td>Grender, Iris Ms.</td>
<td>LD</td>
<td>406</td>
<td>Ryder-Mills, David R. *</td>
<td>LD</td>
<td>741</td>
</tr>
<tr>
<td>Price, Roger J.</td>
<td>LAB</td>
<td>388</td>
<td>Morris, Holly Ms.</td>
<td>CON</td>
<td>493</td>
</tr>
<tr>
<td>Vidler, Jean Ms.</td>
<td>GRE</td>
<td>344</td>
<td>Davis, Jemima L. K. Ms.</td>
<td>CON</td>
<td>444</td>
</tr>
<tr>
<td>Waddleton, John M.</td>
<td>LD</td>
<td>332</td>
<td>Hudson, Susan Ms.</td>
<td>CON</td>
<td>441</td>
</tr>
<tr>
<td>Oates, Jonathan</td>
<td>LD</td>
<td>314</td>
<td>Hall, Martin</td>
<td>GRE</td>
<td>363</td>
</tr>
<tr>
<td>Collis, Tina Ms.</td>
<td>UKIP</td>
<td>313</td>
<td>Weithers, Pete<br/>Evans, Ellie Ms.</td>
<td>UKIP<br/>TUSC<br/>83<br/></td><br/>
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<th colspan="2">Cocombe Vale No change Pickering, Julie Ms. *</br/></br/>
<table><tbody><tr><td style="text-align:center;">CON 1,689 No change Fraser, David*</br/></br/>
<table><tbody><tr><td style="text-align:center;">CON 1,629 No change Clark, Mary J. Ms.<br/>Davis, Kevin J.</br/></br/>
<table><tbody><tr><td style="text-align:center;">CON 1,233 No change Bamford, David S. J.<br/>Kim, Mi 5.</br/></br/>
<table><tbody><tr><td style="text-align:center;">LD 682 No change Thompson, Richard C.<br/>Collis, Nicholas.</br/></br/>
<table><tbody><tr><td style="text-align:center;">LD 575 No change Bennett, Bill.</br/></br/>
<table><tbody><tr><td style="text-align:center;">LAB 480 No change Pearson, George E.<br/>Howard, Lucy Ms.</br/></br/>
<table><tbody><tr><td style="text-align:center;">LAB 425 No change Howard, Lucy Ms.<br/>Greensill, Michael.</br/></br/>
<table><tbody><tr><td style="text-align:center;">GRE 328 No change Greaves, Peter.</br/></br/>
<table><tbody><tr><td style="text-align:center;">GRE 290 No change Jones, Howard.<br/>Smith, Ken.<br/>Patel, Priyen.</br/></br/>
<table><tbody><tr><td style="text-align:center;">CON 1,250 No change Jones, Howard.<br/>Smith, Ken.<br/>Patel, Priyen.<br/>Conway, Paul.</br/></br/>
<table><tbody><tr><td style="text-align:center;">CON 1,188 No change Jones, Howard.<br/>Smith, Ken.<br/>Patel, Priyen.<br/>Conway, Paul.<br/>Barnes, David.</br/></br/>
<table><tbody><tr><td style="text-align:center;">CON 1,082 No change Jones, Howard.<br/>Smith, Ken.<br/>Patel, Priyen.<br/>Conway, Paul.<br/>Barnes, David.<br/>Holligan, Linda W. Ms.<br/>Watson, Bona.<br/>Senger, Richard M.<br/>Child, David.<br/>Couchman, Paul D.</br/></br/>
<table><tbody><tr><td style="text-align:center;">UKIP 386 No change Watson, Bona.<br/>Senger, Richard M.<br/>Child, David.<br/>Couchman, Paul D.<br/>TUSC 34 No change Jones, Howard.<br/>Smith, Ken.<br/>Patel, Priyen.<br/>Conway, Paul.<br/>Barnes, David.<br/>Holligan,</table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>>
<table border="1">
<thead><tr><th>Grove 1 CON gain from LD Hitchcock, Chrissie Ms. * Brister, Stephen Doyle Phil Amey Adrian Ward Alex Baijwa Shoailb Kind Tessa Ms. Mama Steve Roland Peter Hood Alison Ms. Cobbett Tim Walker Tim Coomb Hill Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LD Norbiton 2 LAB gains from LDNorbont
Norbon
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<table border="1">
<thead><tr><th colspan="5">St. James Turnout 44.5%</th><th colspan="5">No change Jones Howard CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Conne Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocon Cocone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Cone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone Ccone
<table border="1">
<thead><tr><th colspan="5">St. James Turnout 44.5%</th><th colspan="5">No change Jones Howard CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON COON
<table border="1">
<thead><tr><th colspan="5">St. James Turnout 44.5%</th><th colspan="5">No change Jones Howard
<table border="1">
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<table border="1">
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<table border="1">
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<table border="" cellspacing="" cellpadding="" width="">
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>115</page_number>
<table>
<thead>
<tr>
<td>St. Mark's<br>No change</td>
<td>Turnout 37.9%</td>
<td>Tolworth and Hook Rise<br>No change</td>
<td>Turnout 41.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Green, Elizabeth S.<br>White, Diane<br>Yoganathan, Yogan</td>
<td>LD<br>1,239<br>1,170<br>1,111</td>
<td>Harris, Vicki Ms.*<br>Rolfe, Lorraine Ms.<br>Thayalan, Thay</td>
<td>LD<br>1,030<br>885<br>836</td>
</tr>
<tr>
<td>Cheeteham, Jack<br>Johnson-Paul, Nathan<br>Shah, Pratik</td>
<td>CON<br>1,071<br>1,038<br>968</td>
<td>Briggs, Mike<br>Cracknell, Mavis A. Ms.</td>
<td>CON<br>554<br>515</td>
</tr>
<tr>
<td>Coombs, Sandra L. Ms.</td>
<td>LAB<br>423</td>
<td>Banks, Tony<br>Henson, David C.</td>
<td>LAB<br>433</td>
</tr>
<tr>
<td>Hardy, Karen Ms.</td>
<td>GRE<br>357</td>
<td>Kumpeson, Lucky<br>Hill, Katie Ms.</td>
<td>CON<br>401</td>
</tr>
<tr>
<td>Keogh, Clare Ms.</td>
<td>GRE<br>334</td>
<td>Miller, Ben<br>Tudor</td>
<td>LAB<br>381</td>
</tr>
<tr>
<td>Johnson, Martin A.</td>
<td>LAB<br>331</td>
<td></td>
<td>LAB<br>343</td>
</tr>
<tr>
<td>Morton, Michael H.</td>
<td>LAB<br>312</td>
<td></td>
<td>TUSC<br>86</td>
</tr>
<tr>
<td>Nelson, Alex<br>Beswick, Jack</td>
<td>GRE<br>282<br>TUSC<br>67</td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead>
<tr><th>Surbiton Hill<br>No change</th><th>Turnout 46.2%</th><th>No change</th><th></th></tr>
</thead>
<tbody>
<tr><td>Ayles, John*</td><td rowspan="2">LD 1,454 LD 1,445 LD 1,323</td><td>Cunningham, David* Scantlebury, Hugh D. M.</td><td rowspan="2">CON 1,617 CON 1,437 CON 1,378</td></tr>
<tr><td>Gander, Hilary Ms.</td><td></td></tr>
<tr><td>Self, Malcolm*</td><td></td><td>Lott, Jac Thompson, Frank N.*</td><td rowspan="2">LD 701 LD 698 LD 629 GRE 561 LD 554 LAB 511 LAB 455 UKIP 445</td></tr>
<tr><td>Kell, Peter Wright, Alex Pandya, Ronak Heys, Richard D. Mulley, Brian Vase, Anne R. Ms. Cooper, David K. J. Ward, Carol Ms.</td><td rowspan="2">CON 1,301 CON 1,229 CON 1,147 LAB 426 GRE 410 LAB 403 LAB 402 UKIP 354</td><td>Haddon, Anne-Marie B. Ms. Murphy, Chris Smy, Bob Alfakier, Maha Cowley, Judith C. Ms. Gregg, Philip J. Warne, John</td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
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<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><td colspan="2"></td></tr>
<tr><th style="text-align: right;">Kingston upon Thames</th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr>
<table border="1">
<thead>
<tr><th>Surname and Name(s)</th><th style="text-align: center;">Turnout (%)<br>No change (if applicable)</th><th style="text-align: center;">No change (if applicable)</th><th style="text-align: center;">Turnout (%)<br>No change (if applicable)</th></tr>
</thead>
<tbody>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Surbiton Hill No change</th><th style="text-align: center;">Turnout 46.2%</th><th style="text-align: center;">No change (if applicable)</th><th style="text-align: center;">Turnout 46.6%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Ayles, John*</th><th style="text-align: center;">LD 1,454 LD 1,445 LD 1,323</th><th style="text-align: center;">Cunningham, David* Scantlebury, Hugh D. M. Thompson, Frank N.* Lott, Jac Haddon, Anne-Marie B. Ms. Murphy, Chris Smy, Bob Alfakier, Maha Cowley, Judith C. Ms. Gregg, Philip J.</th><th style="text-align: center;">CON 1,617 CON 1,437 CON 1,378 LD 701 LD 698 LD 629 GRE 561 LD 554 LAB 511 LAB 455 UKIP 445</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Gander, Hilary Ms.</th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Self*, Malcolm*</th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Kelk*, Peter Wright*, Alex Pandya*, Ronak Heys*, Richard D. Mulley*, Brian Vase*, Anne R. Ms. Cooper*, David K. J. Ward*, Carol Ms.</th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th>
</tr>
<table border='1'>
<thead id='table_header'>
<tr id='header_row'>
<thead id='table_header'>
<tbody id='table_body'>
<tr id='row_0' class='header_bottom_margin'>
<p id='cell_0'>St. Mark's No change </p> <p id='cell_1'>Turnout 37.9% </p> </tbody>
</tr>
</thead>
</tbody>
</tr>
<tbody id='table_body'>
<tr id='row_0' class='header_bottom_margin'>
<p id='cell_0'>Green*, Elizabeth S.</p> <p id='cell_1'>LD > > > > > > > > > > > > > > > > > > > > ></p>&&<p id='cell_2'>Harris*, Vicki Ms.* Rolfe*, Lorraine Ms.* Thayalan*, Thay </p>&&<p id='cell_3'>LD ></p>&&<p id='cell_4'>LD ></p>&&<p id='cell_5'>LD ></p>&&<p id='cell_6'>LD ></p>&&<p id='cell_7'>LD ></p>&&<p id='cell_8'>LD ></p>&&<p id='cell_9'>LD ></p>&&<p id='cell_10'>LD ></p>&&<p id='cell_11'>LD ></p>&&<p id='cell_12'>LD ></p>&&<p id='cell_13'>LD ></p>&&<p id='cell_14'>LD ></p>&&<p id='cell_15'>LD ></p>&&<p id='cell_16'>LD ></p>&&<p id='cell_17'>LD ></p>&&<p id='cell_18'>LD ></p>&&<p id='cell_19'>LD ></p>&&<p id='cell_20'>LD ></p>&&<p id='cell_21'>LD ></p>&&<p id='cell_22'>LD ></p>&&<p id='cell_23'>LD ></p>&&<p id='cell_24'>LD ></p>&&<p id='cell_25'>LD ></p>&&<p id='cell_26'>LD ></p>&&<p id='cell_27'>LD ></p>&&<p id='cell_28'>LD ></p>&&<p id='cell_29'>LD ></p>&&<p id='cell_30'>LD ></p>&&<p id='cell_31'>LD ></p>&&<p id='cell_32'>LD ></p>&&<p id='cell_33'>LD ></p>&&<p id='cell_34'>LD ></p>&&<p id='cell_35'>LD ></p>&&<p id='cell_36'>LD ></p>&&<p id='cell_37'>LD ></p>&&<p id='cell_38'>LD ></p>&&<p id='cell_39'>LD ></p>&&<p id='cell_40'>LD ></p>&&<p id='cell_41'>LD ></p>&&<p id='cell_42'>LD ></p>&&<p id='cell_43'>LD ></p>&&<p id='cell_44'>LD ></p>&&<p id='cell_45'>LD ></p>&&<p id='cell_46'>LD ></p>&&<p id='cell_47'>LD ></p>&&<p id='cell_48'>LD ></p>&&<p id='cell_49'>LD ></p>&&<br/></tbody><!-- end table_body -->
</table><!-- end table -->
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</table<!-- end table -->
<page_number>116</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# By-elections
**Surbiton Hill**
15 September 2011
<table>
<tr>
<td>Ayles, John</td>
<td>Turnout 31.7%</td>
<td>Grove</td>
<td>Turnout 25.7%</td>
</tr>
<tr>
<td></td>
<td>No change</td>
<td>05 July 2012</td>
<td>No change</td>
</tr>
<tr>
<td>Kilby, Nick</td>
<td>CON</td>
<td>895</td>
<td>Moll, Rebekah</td>
<td>LD</td>
<td>720</td>
</tr>
<tr>
<td>Hill, Katie Ms.</td>
<td>LAB</td>
<td>349</td>
<td>Amer, Adrian C.</td>
<td>CON</td>
<td>687</td>
</tr>
<tr>
<td>Pickhaver, Paul</td>
<td>CPA</td>
<td>171</td>
<td>South, Laurie</td>
<td>LAB</td>
<td>440</td>
</tr>
<tr>
<td>Walker, Chris</td>
<td>GRE</td>
<td>81</td>
<td>Coley, Ryan D.</td>
<td>GRE</td>
<td>123</td>
</tr>
<tr>
<td>Riding, James</td>
<td>IND</td>
<td>21</td>
<td>Watson, Michael G.</td>
<td>UKIP</td>
<td>56</td>
</tr>
<tr>
<td colspan="5">Resignation of Parekh, Umesh (LD)</td>
</tr>
</table>
**Coombe Vale**
15 December 2011
<table>
<tr>
<td>Coombe Vale</td>
<td>Turnout 43.1%</td>
<td>Berrylands</td>
<td>Turnout 34.5%</td>
</tr>
<tr>
<td></td>
<td>No change</td>
<td>28 February 2013</td>
<td>No change</td>
</tr>
<tr>
<td>Finnerty, Lynne Ms.</td>
<td>CON</td>
<td>1,340</td>
<td>Abraham, Sushila</td>
<td>LD</td>
<td>948</td>
</tr>
<tr>
<td>Pickering, Julie Ms.</td>
<td>CON</td>
<td>1,308</td>
<td>Head, Mike</td>
<td>CON</td>
<td>761</td>
</tr>
<tr>
<td>Kugan, Kamala</td>
<td>LD</td>
<td>908</td>
<td>Banks, Tony</td>
<td>LAB</td>
<td>455</td>
</tr>
<tr>
<td>Nichol, Rupert C. F.</ td><br/>
<td>Brown, Nick<br/>Parker, Ian<br/>Walker, Chris<br/>Shabbeer, Tariq<br/>Hayward, Philippa L. E. Ms.<br/>Glencross, Roger E.<br/>Watson, Michael G.</table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Coope Hill<br/>03 May 2012<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Wallooppillai, Gajan L.<br/>South, Laurie<br/>Knowles, David J.<br/>Vidler, Jean Ms.<br/>Watson, Michael G.<br/>Dewan, Rajesh K.</table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Resignation of Edwards, David M. (CON)<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Conolly, John<br/>Beverley<br/>Paton, Terence<br/>Heap, Lesley Ms.<br/>Freedman, Marian Ms.<br/>Watson, Michael<br/>Walker, Chris<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Coombe Hill<br/>Turnout 41.5%<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Wallooppillai, Gajan L.<br/>South, Laurie<br/>Knowles, David J.<br/>Vidler, Jean Ms.<br/>Watson, Michael G.<br/>Dewan, Rajesh K.</table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">Resignation of Edwards, David M. (CON)<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/>LAB<br/>LD<br/>GRE<br/>UKIP<br/>CPA<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON gain from LD<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/>LAB<br/>GRE<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/>LAB<br/>GRE<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/>LAB<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">CON<br/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f
<img>Kingston upon Thames logo.png" alt="">Kingston upon Thames logo.</img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></img></
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>117</page_number>
**Lambeth**
Labour administration
<img>A map of Lambeth showing the results of the 2014 local election. The map is divided into electoral wards, each represented by a number. The numbers range from 1 to 35. The map also includes a legend indicating the party colours: Labour (blue), Conservative (red), and Labour/Green (brown). The legend is placed at the bottom left corner of the map.</img>
<table>
<thead>
<tr>
<th>1</th>
<th>Bishop's</th>
<th>12</th>
<th>Prince's</th>
</tr>
</thead>
<tbody>
<tr>
<td>2</td>
<td>Brixton Hill</td>
<td>54</td>
<td>St Leonard's</td>
</tr>
<tr>
<td>3</td>
<td>Clapham Common</td>
<td>14</td>
<td>Stockwell</td>
</tr>
<tr>
<td>4</td>
<td>Clapham Town</td>
<td>15</td>
<td>Streatham Hill</td>
</tr>
<tr>
<td>5</td>
<td>Coldharbour</td>
<td>16</td>
<td>Streatham South</td>
</tr>
<tr>
<td>6</td>
<td>Ferndale</td>
<td>17</td>
<td>Streatham Wells</td>
</tr>
<tr>
<td>7</td>
<td>Gipsy Hill</td>
<td>18</td>
<td>Thurston Green</td>
</tr>
<tr>
<td>8</td>
<td>Herne Hill</td>
<td>19</td>
<td>Thurloe Park</td>
</tr>
<tr>
<td>9</td>
<td>Knight's Hill</td>
<td>20</td>
<td>Tulse Hill</td>
</tr>
<tr>
<td>10</td>
<td>Larkhall</td>
<td>21</td>
<td>Vassall</td>
</tr>
<tr>
<td>11</td>
<td>Oval</td>
<td></td>
<td></td>
</tr>
<tr><th colspan="5">State of the parties, 1964-2014 % share of the poll, 1964-2014</th></tr><tr><th></th><th>CON<br>LAB<br>LD<br>other<br>total<br>% poll<br>% CON<br>% LAB<br>% LD<br>% other<br></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td>22.5.14<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td><td>3<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<b style="color:red;">63<br></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b/></table>
<table id="table_0">
<thead id="table_0_header">
<tr id="table_0_header_row">
<th colspan="3" id="table_0_header_column_0">General statistics</th>
<th colspan="3" id="table_0_header_column_3">Lambeth London</th>
<th colspan="3" id="table_0_header_column_6">London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country Country County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County County Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count Count
Electorate May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May 2014 May 2010 May
Resident population aged over Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid
Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed Estimated % unemployed
Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax Band 'D' council tax
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118 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Lambeth
<table>
<thead>
<tr>
<td></td>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bishop's</td>
<td></td>
<td>22.5.14</td>
<td>36.9</td>
<td>19.0</td>
<td>37.1</td>
<td>31.4</td>
<td>10.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>2.2</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>52.8</td>
<td>18.3</td>
<td>32.1</td>
<td>42.4</td>
<td>7.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Brixton Hill</td>
<td></td>
<td>22.5.14</td>
<td>31.4</td>
<td>10.7</td>
<td>50.2</td>
<td>6.8</td>
<td>22.2</td>
<td>--7.4--</td>
<td>--2.5--</td>
<td>--7.4--</td>
<td>--2.5--</td>
<td>2.8</td>
</tr>
<tr>
<td></td>
<td></td>
<td>17.1.13</td>
<td>22.7</td>
<td>6.4</td>
<td>62.6</td>
<td>10.8</td>
<td>13.5</td>
<td>--7.4--</td>
<td>--2.5--</td>
<td>--7.4--</td>
<td>--2.5--</td>
<td>4.2</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>59.0</td>
<td>12.1</td>
<td>42.3</td>
<td>28.7</td>
<td>16.8</td>
<td>--7.4--</td>
<td>--2.5--</td>
<td>--7.4--</td>
<td>--2.5--</td>
<td>--7.4--</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="border-top: 1px solid black;">
<th colspan="13">Clapham Common<br>Cla pham Town<br>Coldharbour<br>Ferndale<br>Gipsy Hill<br>Herne Hill<br>Knight's Hill<br>Larkhall<br>Oval<br>Prince's<br>St. Leonard's<br>Stockwell<br>Streatham Hill<br>Streatham South<br>Streatham Wells<br>Thornton<br>Thurlow Park<br>Tulse Hill<br>Vassall<br></th>
<tr style="border-top: 1px solid black;">
<th></th>
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<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>>
<tr style="border-top: 1px solid black;">
<td>Bishop's </table
<tbody style="border-top: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<td style="text-align:left;">Bishop's </table
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse; border: none;">
</tbody
```json
[
{
"name": "Bishop's",
"date": "22.5.14",
"percentage": "36.9",
"party": "CON",
"votes": "37.1"
},
{
"name": "Bishop's",
"date": "6.5.10",
"percentage": "52.8",
"party": "LAB",
"votes": "42.4"
},
{
"name": "Bishop's",
"date": "6.5.10",
"percentage": "59%",
"party": "LD",
"votes": "32%"
},
{
"name": "Bishop's",
"date": "6.5.10",
"percentage": "59%",
"party": "GRE",
"votes": "6%"
},
{
"name": "Bishop's",
"date": "6.5.10",
"percentage": "59%",
"party": "BNP",
"votes": "-"
},
{
"name": "Bishop's",
"date": "6.5.10",
"percentage": "59%",
"party": "UKIP",
"votes": "-"
},
{
"name": "Bishop's",
"date": "6.5.10",
"percentage": "%",
"party": "",
"votes": ""
}
]
```json
[
{
name:"Bishop's", date:"22.5.14", percentage:"36%", party:"CON", votes:"37%"},
{
name:"Bishop's", date:"6.5.10", percentage:"52%", party:"LAB", votes:"42%"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"LD", votes:"32%"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"GRE", votes:"6%"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"BNP", votes:"-"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"UKIP", votes:"-"},
{
name:"", date:"", percentage:"", party:"", votes:""}
]
```json
[
{
name:"Bishop's", date:"22.5.14", percentage:"36%", party:"CON", votes:"37%"},
{
name:"Bishop's", date:"6.5.10", percentage:"52%", party:"LAB", votes:"42%"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"LD", votes:"32%"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"GRE", votes:"6%"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"BNP", votes:"-"},
{
name:"Bishop's", date:"6.5.10", percentage:"59%", party:"UKIP", votes:"-"},
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
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name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
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name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:"", votes:"-"}
]
```json
[
{
name:"", date:"", percentage:"", party:","
]
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>119</page_number>
**Results**
<table>
<thead>
<tr>
<td>Bishop's</td>
<td>Turnout 36.9%</td>
<td>Clapham Common</td>
<td>Turnout 29.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">Lambeth</td>
</tr>
<tr>
<td>3 LAB gains from LD</td>
<td></td>
<td>1 CON gain from LD</td>
<td></td>
</tr>
<tr>
<td>Mosley, Jennie</td>
<td>LAB</td>
<td>1,106</td>
<td>Briggs, Tim</td>
<td>CON</td>
<td>1,205</td>
</tr>
<tr>
<td>Craig, Kevin</td>
<td>LAB</td>
<td>1,061</td>
<td>Nathanson, Louise Ms.</td>
<td>CON</td>
<td>1,154</td>
</tr>
<tr>
<td>Kind, Ben</td>
<td>LAB</td>
<td>976</td>
<td>Gentry, Bernard</td>
<td>CON</td>
<td>1,102</td>
</tr>
<tr>
<td>Braithwaite, Diana E. Ms. *</td>
<td>LD</td>
<td>949</td>
<td>Goodwin, Tim</td>
<td>LAB</td>
<td>1,028</td>
</tr>
<tr>
<td>Truesdale, Peter J. *</td>
<td>LD</td>
<td>939</td>
<td>Hartwell, Nichola D. Ms.</td>
<td>LAB</td>
<td>955</td>
</tr>
<tr>
<td>Hamney, Mathew T.</td>
<td>LD</td>
<td>777</td>
<td>Pascoe, Jack</td>
<td>LAB</td>
<td>870</td>
</tr>
<tr>
<td>Brighthart, Sam</td>
<td>GRE</td>
<td>304</td>
<td>Cutler, Hannah Ms.</td>
<td>GRE</td>
<<td>433</td>
</tr>
<tr>
<td>Croft, Clive M.</td>
<td>GRE</td>
<td>295</td>
<td>Kelly, Peter</td>
<td>GRE</td>
<td>372</td>
</tr>
<tr>
<td>Frost, David A.</td>
<td>CON</td>
<td>292</td>
<td>Bryant, Matthew</td>
<td>LD</td>
<td>328</td>
</tr>
<tr>
<td>Harrison, Edward J.</td>
<td>CON</td>
< td=291="">291< td="">< td=268="">268< td="">< td=247="">247< td="">< td=219="">219< td="">< td=33.7%="">Clapham Town Turnout </table><table><thead><tr><th>Brixton Hill No change No change Bray, Linda Ms. Wellbelove, Christopher* LAB LAB LAB<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change No change No change<br>No change Nochange nochange 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<page_number>120</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Lambeth**
<table>
<thead>
<tr>
<td>Coldharbour<br>No change</td>
<td>Turnout 30.7%</td>
<td>Gipsy Hill<br>No change</td>
<td>Turnout 37.7%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Heywood, Rachel Ms. *</td>
<td>LAB<br>2,232</td>
<td>Bennett, Matthew*</td>
<td>LAB<br>2,242</td>
</tr>
<tr>
<td>Parr, Matt*</td>
<td>LAB<br>2,037</td>
<td>Francis, Niranjan*</td>
<td>LAB<br>2,202</td>
</tr>
<tr>
<td>Anyanwu, Donatus*</td>
<td>LAB<br>2,014</td>
<td>Brathwaite, Jennifer Ms. *</td>
<td>LAB<br>2,183</td>
</tr>
<tr>
<td>Smith, Solomon<br>Wood, Thomas W.</td>
<td>GRE<br>742<br>680</td>
<td>Martin, Tom<br>Kayikkiran, Ali</td>
<td>CON<br>436<br>434</td>
</tr>
<tr>
<td>Nix, Rashid</td>
<td>GRE<br>638</td>
<td>Gutin, Said</td>
<td>CON<br>423</td>
</tr>
<tr>
<td>Stewart-Williams, Yvonne Ms.</td>
<td>CON<br>233</td>
<td>Mckewon, Ben</td>
<td>GRE<br>364</td>
</tr>
<tr>
<td>Lester, Rachel Ms.</td>
<td>LD<br>225</td>
<td>Potter, Cath Ms.</td>
<td>GRE<br>317</td>
</tr>
<tr>
<td>Belgrove, Carl R.</td>
<td>CON<br>213</td>
<td>Wynter, Paul</td>
<td>GRE<br>257</td>
</tr>
<tr>
<td>Watkins, Edward P.</td>
<td>CON<br>206</td>
<td>Hare, David J.</td>
<td>LD<br>164</td>
</tr>
<tr>
<td>Ward, Johan</td>
<td>UKIP<br>127</td>
<td>Stuart, Marietta F. C. Ms.</td>
<td>LD<br>161</td>
</tr>
<tr>
<td>Morley, Michael J.</td>
<td>LD<br>126</td>
<td>Otoyo, Eddie</td>
<td>UKIP<br>142</td>
</tr>
<tr>
<td>Waddington, Simon I.</td>
<td>LD<br>126</td>
<td>Breugel, Marcus F. V.</td>
<td>LD<br>133</td>
</tr>
<table border="1">
<thead><tr><th></th><th>Coldharbour Turnout 30.7% No change Agdomar, Michelle Ms. Herne Hill Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice, Sally Ms. *</td><th rowspan="1">LAB 1,762 LAB 1,696 LAB 1,499 Dickson, Jim* Holborn, Jack Womack, Amelia Ms. Edwards, Nicholas Hildyard, Luke Baker, Claire M. Ms. Hooberman, Simon Nicholson, Heidi Ms. Keen, Jennifer E. Price, Jonathan S. Price, Lawrence W. Stanbury, Steven G. Scott, Louise Ms.</th></tr><tr><td>Sabharwal, Neil*</td><th rowspan="1">LAB 1,999 CON 493 CON 444 CON 431 CON 256 LD 221 LD 211 UKIP 196 TUSC 113 SP 81 LAB 2,198 LAB 2,373 LAB 2,198 GRE 1,357 GRE 1,269 GRE 1,103 CON 470 CON 387 CON 381 LD 351 LD 241 LD 187 UKIP 168 TUSC 121 Knight's Hill Turnout 33.8%</th></tr><tr><td>Gillespie, Edward R.</td><th rowspan="1">No change Meldrum, Jackie Ms.* Pickard, Jane Ms.* Winifred, Sonia Ms. Belgrove, Julia Ms. Giannissis, Nicholas Collins, Tim Etkind, Lianna Ms. Kimm, Tony Estevez, Hugo D. A. Hardwaren, Robert Kowalska, Helena M. Ms. Calton, Libby Ms. Heather, Julian LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGU LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA LGA
<img>A map showing the electoral wards of Lambeth with various party symbols indicating the results of the election in each ward.</img></th></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><tr><td>Ferndale No change Prentice Turnout 33.8%</td></tr></tbody></table>
<table border="1">
<thead><tr><th>Coldharbour Turnout 30.7% No change Agdomar Turnout 40.6%</th></tr></thead><tbody><row
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>121</page_number>
<table>
<thead>
<tr>
<th>Larkhall<br>No change</th>
<th>Turnout 27.0%</th>
<th>Prince's<br>No change</th>
<th>Turnout 37.7%</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>De Cordova, Marsha Ms.</strong></td>
<td style="text-align: center;">LAB<br>1,809</td>
<td><strong>Amos, David</strong></td>
<td style="text-align: right;">LAB<br>2,342</td>
</tr>
<tr>
<td><strong>Valcarcel, Christiana Ms. *</strong></td>
<td style="text-align: center;">LAB<br>1,651</td>
<td><strong>Marsh, Chris</strong></td>
<td style="text-align: right;">LAB<br>2,160</td>
</tr>
<tr>
<td><strong>Wilson, Andy</strong></td>
<td style="text-align: center;">LAB<br>1,503</td>
<td><strong>Simpson, Joanne Ms.</strong></td>
<td style="text-align: right;">LAB<br>2,058</td>
</tr>
<tr>
<td>Lowe, Victoria E. Ms.</td>
<td style="text-align: center;">CON<br>595</td>
<td>Barker, Claire L. Ms.</td>
<td style="text-align: right;">CON<br>761</td>
</tr>
<tr>
<td>Jupp, Mathew</td>
<td style="text-align: center;">CON<br>570</td>
<td>Bellis, James H.</td>
<td style="text-align: right;">CON<br>705</td>
</tr>
<tr>
<td>Perry, Lisa Ms.</td>
<td style="text-align: center;">GRE<br>546</td>
<td>Poole-Wilson, Michael C.</td>
<td style="text-align: right;">CON<br>606</td>
</tr>
<tr>
<td>Trelawny, Alison Ms.</td>
<td style="text-align: center;">CON<br>517</td>
<td>Halsall, Eleanor A. Ms.</td>
<td style="text-align: right;">GRE<br>548</td>
</tr>
<tr>
<td>Dalton, Joe</td>
<td style="text-align: center;">GRE<br>492</td>
<td>Taylor, Joe</td>
<td style="text-align: right;">GRE<br>479</td>
</tr>
<tr>
<td>Osborne, Ciaran</td>
<td style="text-align: center;">GRE<br>431</td>
<td>Baines, Vivienne J. Ms.</td>
<td style="text-align: right;">LD<br>441</td>
</tr>
<tr>
<td>Church, Claire Ms.</td>
<td style="text-align: center;">LD<br>329</td>
<td>Lindsay, Fern C. Ms.</td>
<td style="text-align: right;">GRE<br>428</td>
</tr>
<tr>
<td>Mills, Alistair</td>
<td style="text-align: center;">LD<br>271</td>
<td>Baines, Malcolm I.</td>
<td style="text-align: right;">LD<br>401</td>
</tr>
<tr>
<td>Macdonald, David J.</td>
<td style="text-align: center;">LD<br>216</td>
<td>Christodoulou, Daisy R. Ms.</td>
<td style="text-align: right;">LD<br>360</td>
</tr>
<tr>
<td>Marriott, Sean D.</td>
<td style="text-align: center;">UKIP<br>210</td>
<td>Dodd, John</td>
<td style="text-align: right;">UKIP<br>334</td>
</tr>
<tr>
<td>Betteridge, Alexander J.</td>
<td style="text-align: center;">TUSC<br>100</td>
<td>Howard, John</td>
<td style="text-align: right;">IND<br>170</td>
</tr>
<tr>
<td>Buick, Adam</td>
<td style="text-align: center;">SP<br>49</td>
<td>Hutchinson, Larry</td>
<td style="text-align: right;">TUSC<br>95</td>
</tr>
</tbody>
<!-- Oval -->
<!-- 1 LAB gain from LD -->
<!-- Holland, Claire Ms. -->
<!-- LAB -->
<!-- 2 LAB gains from LD, 1 GRE gain from LD -->
<!-- Holland, Claire Ms. -->
<!-- LAB -->
<!-- 2,105 -->
<!-- Hill, Robert -->
<!-- Holland, Claire Ms. -->
<!-- LAB -->
<!-- 2,105 -->
<!-- Hill, Robert -->
<!-- Hopkins, Jack * -->
<!-- LAB -->
<!-- 2,081 -->
<!-- Ainslie, Scott -->
<!-- Hopkins, Jack * -->
<!-- LAB -->
<!-- 2,081 -->
<!-- Ainslie, Scott -->
<!-- Edbrooke, Jane Ms. * -->
<!-- LAB -->
<!-- 2,013 -->
<!-- Jaffer, Saleha Ms. -->
<!-- Edbrooke, Jane Ms. * -->
<!-- LAB -->
<!-- 2,013 -->
<!-- Jaffer, Saleha Ms. -->
<!-- Brown, Ishbel* -->
<!-- LD -->
<!-- 903 -->
<!-- Burke, Michael -->
<!-- Brown, Ishbel* -->
<!-- LD -->
<!-- 903 -->
<!-- Burke, Michael -->
<!-- Monger, Helen Ms. -->
<!-- LD -->
<!-- 769 -->
<!-- Bartley, Jonathan -->
<!-- Monger, Helen Ms. -->
<!-- LD -->
<!-- 769 -->
<!-- Bartley, Jonathan -->
<!-- Turner, George -->
<!-- LD -->
<!-- 579 -->
<!-- Laurence, Rachel Ms. -->
<!-- Turner, George -->
<!-- LD -->
<!-- 579 -->
<!-- Laurence, Rachel Ms. -->
<!-- Geffert, Anna V. Ms. -->
<!-- GRE -->
<!-- Palmer, Brian -->
<!-- Geffert, Anna V. Ms. -->
<!-- GRE -->
<!-- Palmer, Brian -->
<!-- Humphreys, Stephen R. -->
<!-- CON -->
<!-- Giess, Roger -->
<!-- Humphreys, Stephen R. -->
<!-- CON -->
<!-- Giess, Roger -->
<!-- Senior, Glencora L. Ms. -->
<!-- CON -->
<!-- Stanier, Phil -->
<!-- Senior, Glencora L. Ms. -->
<!-- CON -->
<!-- Stanier, Phil -->
<!-- Young, Sandra H. Ms. -->
<!-- GRE -->
<!-- Newall, Wendy Ms. -->
<!-- Young, Sandra H. Ms. -->
<!-- GRE -->
<!-- Newall, Wendy Ms. -->
<!-- Sharma, Pawan -->
<!-- CON -->
<!-- Jarrett, Charles -->
<!-- Sharma, Pawan -->
<!-- CON -->
<!-- Jarrett, Charles -->
<!-- O'Sullivan, Bernard A. -->
<!-- GRE -->
<!-- Newall, Felicity Ms. -->
<!-- O'Sullivan, Bernard A. -->
<!-- GRE -->
<!-- Newall, Felicity Ms. -->
<!-- Otoyo, Lucia Ms. -->
<!-- UKIP -->
<!-- Trasenster, Mark -->
<!-- Otoyo, Lucia Ms. -->
<!-- UKIP -->
<!-- Trasenster, Mark -->
<!-- Nally, Steve -->
<!-- TUSC -->
<!-- Stockwell -->
<!-- Nally, Steve -->
<!-- TUSC -->
<!-- Stockwell -->
<table border='1'>
<tr><th colspan='3'>Stockwell No change</th></tr><tr><th>Bigham,</th><th>Alex *</th><th style='text-align:right;'>LAB<br>2,<span id='lab_count_2' class='lab_count'>2026</span></th></tr><tr><th rowspan='2'>Walker,</th><th rowspan='2'>Imogen Ms.</th><th rowspan='2' class='lab_count_1'> LAB<br><span id='lab_count_1' class='lab_count'>1,<span id='lab_count_1_value' class='lab_count_value'>778</span></span></th></tr><tr><th colspan='2'></th></tr><tr><th>Rosa,</th><th>Guilherme</th><th style='text-align:right;'>LAB<br><span id='lab_count_3' class='lab_count'>1,<span id='lab_count_3_value' class='lab_count_value'>769</span></span></th></tr><tr><th>Barr,</th><th>Sarah Ms.</th><th style='text-align:right;'>CON<br><span id='lab_count_4' class='lab_count'>608</span></th></tr><tr><th colspan='3'></th></tr><tr><th colspan='3'></th></tr><tr><th>Bottrall,</th><th>Anthony F.</th><th style='text-align:right;'>LD<br><span id='lab_count_5' class='lab_count'>552</span></th></tr><tr><th colspan='3'></th></tr><tr><th colspan='3'></th></tr><tr><th>Barrett,</th><th>Craig</th><th style='text-align:right;'>CON<br><span id='lab_count_6' class='lab_count'>507</span></th></tr><tr><th colspan='3'></th></tr><tr><th>Low,</th><th>Sam</th><th style='text-align:right;'>GRE<br><span id='lab_count_7' class='lab_count'>502</span></th></tr><tr><th colspan='3'></th></tr><tr><th>Tschepp,</th><th>Maritza C. Ms.</th><th style='text-align:right;'>GRE<br><span id='lab_count_8' class='lab_count'>431</span></th></tr><tr><th colspan='3'></th></tr><tr><th>Mcmullan,</th><th>Robert A.</th><th style='text-align:right;'>CON<br><span id='lab_count_9' class='lab_count'>430</span></th></tr><tr><th colspan='3'></th></tr><tr><th>Mcconnell,</th><th>Matthew D.</th><th style='text-align:right;'>LD<br><span id='lab_count_10' class='lab_count'>416</span></th></tr><tr><th colspan='3'></th></tr><tr><th>Correia-Sefizik,</th><th>Fernanda D. J.</th><th style='text-align:right;'>LD<br><span id='lab_count_11' class='lab_count'>380</span></th></tr><tr><th>Ville,</th><th>David J.</th><th style='text-align:right;'>GRE<br><span id='lab_count_12' class='lab_count'>366</span></th></tr><tr><eth colspan='3'></eth></table>
<table border='1'>
<tr align=center valign=top>No change:</table>
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<page_number>122</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Lambeth**
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<td><strong>Streatham Hill</strong><br><em>3 LAB gains from LD</em></td>
<td><strong>Turnout 36.4%</strong></td>
<td><strong>Thornton</strong><br><em>No change</em></td>
<td><strong>Turnout 43.3%</em></td>
</tr>
<tr>
<td>Atkins, Liz Ms.</td>
<td>LAB<br>1,736</td>
<td>Peck, Lib Ms. *</td>
<td>LAB<br>2,280</td>
</tr>
<tr>
<td>Chowdhury, Rezina Ms.</td>
<td>LAB<br>1,582</td>
<td>Morris, Diana Ms. *</td>
<td>LAB<br>2,220</td>
</tr>
<tr>
<td>Simpson, Iain</td>
<td>LAB<br>1,448</td>
<td>Davie, Ed*</td>
<td>LAB<br>2,113</td>
</tr>
<tr>
<td>Cyne, Jeremy*</td>
<td>LD<br>1,272</td>
<td>Machan, Bruce</td>
<td>UKIP<br>764</td>
</tr>
<tr>
<td>Lumsden, Ashley*</td>
<td>LD<br>1,234</td>
<td>Helmsey, Simon</td>
<td>CON<br>664</td>
</tr>
<tr>
<td>Ogden, Kita Ms. *</td>
<td>LD<br>1,100</td>
<td>De Maynard, Vernon</td>
<td>CON<br>570</td>
</tr>
<tr>
<td>Bryant, David</td>
<td>GRE<br>515</td>
<td>Young, Savill</td>
<td>CON<br>481</td>
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<td>Bailey, Elaine Ms.</td>
<td>CON<br>422</td>
<td>Audsley, Adrian J.</td>
<td>GRE<br>360</td>
</tr>
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<td>Maurice-Jones, Leon</td>
<td>GRE<br>414</td>
<td>Kershaw, Hannah L. Ms.</td>
<td>GRE<br>336</td>
</tr>
<tr>
<td>Caspell, James J.</td>
<td>GRE<br>411</td>
<td>Lankaster, Charles</td>
<td>GRE<br>272</td>
</tr>
<tr>
<td>Wallace, Mark</td>
<td>CON<br>347</td>
<td>Macnair, Rebecca Ms.</td>
<td>LD<br>271</td>
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<tr>
<td>Henwood, Philip</td>
<td>CON<br>317</td>
<td>Brack, Duncan</td>
<td>LD<br>258</td>
</tr>
<tr>
<td>Younghusband, Peter R.</td>
<td>UKIP<br>222</td>
<td>Pindar, John</td>
<td>LD<br>227</td>
</tr>
<tr style="border-top: 1px solid black;">
<th><strong><em><u>No change </u></em></strong></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/></tr>
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<th colspan="3"><strong><u> Streatham South </u> </strong> <em> Turnout 34.1%</em> </strong> <em> 2 LAB gains from CON </em> </strong> <em> Thurlow Park </em> </strong> <em> Turnout 39.0%</em> </strong> </table>
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<th colspan="3"><strong>No change </strong> </strong> </table>
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<th colspan="3"><strong>Kazantis, John </strong> </strong> </table>
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<th colspan="3"><strong> Adilypour, Danny </strong> </strong> </table>
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<th colspan="3"><strong> Wilcox, Clair Ms. </strong> </strong> </table>
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<th colspan="3"><strong> Smith, Helen Ms. </strong> </strong> </table>
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<th colspan="3"><strong> Guinness, Jonathan </strong> </strong> </table>
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<th colspan="3"><strong> Wharton, Jack </strong> </strong> </table>
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<th colspan="3"><strong> Hinkson, Emma Ms. </strong> </strong> </table>
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<th colspan="3"><strong> Morfey, Karen Ms. </strong> </strong> </table>
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<th colspan="3"><strong> Spencer, Benjamin </strong> </strong> </table>
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<th colspan="3"><strong> Ahmed, Nazir </strong> </strong> </table>
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<th colspan="3"><strong> Ali, Ahmad </strong> </strong> </table>
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<th colspan="3"><strong> Melia, Nigel M. </strong> </strong> </table>
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<th colspan="3"><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u><br><u>No change </u>
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<td valign=top align=center id='topleft' class='aligncenter'>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB<br/>LAB
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<td valign=top align=center id='topleft' class='aligncenter'>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>123</page_number>
<table>
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<td>Vassall</td>
<td>Turnout 31.1%</td>
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<tbody>
<tr>
<td>1 LAB gain from LD</td>
<td></td>
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<tr>
<td>Dyer, Jacqui Ms.</td>
<td>LAB</td>
<td>1,751</td>
</tr>
<tr>
<td>Gadsby, Paul*</td>
<td>LAB</td>
<td>1,723</td>
</tr>
<tr>
<td>Gallop, Annie Ms.</td>
<td>LAB</td>
<td>1,671</td>
</tr>
<tr>
<td>Cole, Celia E. Ms.</td>
<td>GRE</td>
<td>598</td>
</tr>
<tr>
<td>Abbott, Paul T.</td>
<td>CON</td>
<td>463</td>
</tr>
<tr>
<td>Barr, Stuart D.</td>
<td>CON</td>
<td>451</td>
</tr>
<tr>
<td>Everett, Owen</td>
<td>GRE</td>
<td>451</td>
</tr>
<tr>
<td>Avebury, Lindsay J. Ms.</td>
<td>LD</td>
<td>445</td>
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<tr>
<td>Walton, John N.</td>
<td>GRE</td>
<td>419</td>
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<tr>
<td>Thomas, Collette D. Ms.</td>
<td>LD</td>
<td>388</td>
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<tr>
<td>Gething, Joshua</td>
<td>CON</td>
<td>382</td>
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<tr>
<td>Wyard, Dominic K.</td>
<td>LD</td>
<td>254</td>
</tr>
<tr>
<td>Chapman, Mark</td>
<td>PP</td>
<td>129</td>
</tr>
<tr>
<td>Montague, Dalton</td>
<td>TUSC</td>
<td>113</td>
</tr>
<tr><td colspan="3">By-elections<br><br>Tulse Hill<br>01 July 2010<br>No change<br>Tulse Hill<br>25 July 2013<br>No change<br>Ling, Ruth Ms.<br>LAB<br>1,235<br>Athkins, Mary Ms.<br>LAB<br>1,575<br>Curtis, Terence<br>LD<br>745<br>Ahmad, Amna Ms.<br>LD<br>277<br>Graham, George<br>GRE<br>256<br>Atwell, Bernard<br>GRE<br>177<br>Blackburn, Alan<br>CON<br>94<br>Nally, Steve<br>TUSC<br>76<br>Lambert, Robin<br>UKIP<br>36<br>Briggs, Timothy<br>CON<br>74<br>Resignation of Smith, Toren (LAB)<br>Jones, Elizabeth Ms.<br>UKIP<br>64<br>walker, Valentine<br>IND<br>20<br>Buick, Adam<br>SP<br>11<br>Brixton Hill<br>17 January 2013<br>No change<br>Tiedemann, Martin<br>LAB<br>1,593<br>Vassall<br>Nelly, Steve<br>TUSC<br>72<br>Jones, Elizabeth Ms.<br>UKIP<br>63<br>Lambert, Daniel SP 34<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></page_number></table>
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<th style="text-align: center;">Turnout 21%</th>
<th style="text-align: center;">No change</th>
<th style="text-align: center;">Turnout 20%</th>
<th style="text-align: center;">No change</th>
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<td>Ling, Ruth Ms.</td>
<td style="text-align: right;">LAB 1,235</td>
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<td style="text-align: left;">Curtis, Terence</td>
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<td style="text-align: left;">LD 745</td>
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<td style="text-align: left;">LD 277</td>
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<td style="text-align: left;">Graham, George GRE 256 Atwell, Bernard GRE 177 Blackburn, Alan CON 94 Nally, Steve TUSC 76 Lambert, Robin UKIP 36 Briggs, Timothy CON 74 Resignation of Smith, Toren (LAB) Jones, Elizabeth Ms. UKIP 64 Walker, Valentine IND 20 Buick, Adam SP 11 Brixton Hill 17 January 2013 No change Tiedemann, Martin LAB 1,593 Vassall Nelly, Steve TUSC 72 Jones, Elizabeth Ms. UKIP 63 Lambert, Daniel SP 34 Resignation of Reed, Steve (LAB)</table>
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<td style="text-align: left;">Child, Andrew GRE 344 Maffei, Liz Ms. LD 274 Briggs, Timothy CON 164 Nally, Steve TUSC 72 Jones, Elizabeth MS UKIP 63 Lambert, Daniel SP 34 Resignation of Reed, Steve (LAB)</table>
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<td style="text-align: left;">Vassall
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<td style="text-align: left;">28 November 2013 No change
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<td style="text-align: left;">Gadsby, Paul LAB 1,319 Thomas, Colette Ms. LD 468 Ben-Maimon Kelly Ms. CON 153 Laurence Rachel Ms. GRE 113 Jones Elizabeth Ms. UKIP 87 Nally Steven TUSC 44 Lambert Danny SP 22 Resignation of Abrams Kingsley J. (LAB)</table>
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<page_number>124</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Lewisham**
Labour administration
Labour directly elected mayor
<img>A map of Lewisham showing the wards and their respective party colours. The map is divided into 17 areas, each with a different colour representing the party. The main colours are red (Labour), green (Green Party), and brown (Labour/Green). The ward names are written next to each area.</img>
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<td>1</td>
<td>Bellingham</td>
<td>10</td>
<td>Ladywell</td>
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<td>2</td>
<td>Blackheath</td>
<td>11</td>
<td>Lee Green</td>
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<td>3</td>
<td>Brockley</td>
<td>12</td>
<td>Lewisham Central</td>
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<td>4</td>
<td>Catford South</td>
<td>13</td>
<td>New Cross</td>
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<td>5</td>
<td>Crofton Park</td>
<td>14</td>
<td>Perry Vale</td>
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<td>6</td>
<td>Downham</td>
<td>15</td>
<td>Rushey Green</td>
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<td>7</td>
<td>Evelyns</td>
<td>16</td>
<td>Sydnesham</td>
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<td>8</td>
<td>Forest Hill</td>
<td>17</td>
<td>Telegraph Hill</td>
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<td>9</td>
<td>Grove Park</td>
<td>18</td>
<td>Whitefoot</td>
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<tr><th colspan='6' align='center'>State of the parties, 1964-2014 % share of the poll, 1964-2014</th></tr><tr><th align='right'>22.5.14 CON LAB LD other total % poll CON LAB LD other</th><th align='right'>53 - 1 54 22.5.14 37.2 10.9 43.1 7.9 38.0</th></tr><tr><th align='left'>6.5.10 6.5.10 4.5.06 2.5.02 7.9.8 5.5.94 3.5.30 8.5.86 6.5.82 4.5.78 4.5.74 13.5.71 9.5.68 7.5.64</th><th align='right'>2 39 12 1 54 6.5.10 60.3 16.1 38.4 25.7 19.8 3 26 17 8 54 4.5.06 33.3 17.7 32.9 24.0 25.4 2 45 4 3 54 2.5.02 25.6 16.3 38.6 18.6 26.5 2 61 4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - </th></tr></table>
General statistics
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<thead border='1'>
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<th align='left'>Electorate</th><th align='left'>May 2014<br>May 2010</th><th align='left'>Lewisham<br>London<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>May<br>Lewisham London May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City City
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<thead border='1'>
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<th align='left'>Resident population aged 18 and over Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid Mid
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<th align='left'>Estimated % unemployed
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<th align='left'>Band 'D' council tax
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<th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><th align='left'></th><table border=
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>125</page_number>
**% share of the poll**
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
<th></th>
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<td><strong>Bellingham</strong></td>
<td><strong>22.514</strong></td>
<td><strong>31.0</strong></td>
<td><strong>12.9</strong></td>
<td><strong>53.7</strong></td>
<td><strong>5.2</strong></td>
<td><strong>9.0</strong></td>
<td><strong>--</strong></td>
<td><strong>--</strong></td>
<td><strong>--</strong></td>
<td><strong>--</strong></td>
<td><strong>19.1</strong></td>
</tr>
<tr>
<td></td>
<td><em>24.311</em></td>
<td><em>22.0</em></td>
<td><em>15.9</em></td>
<td><em>51.4</em></td>
<td><em>15.6</em></td>
<td><em>4.7</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>12.3</em></td>
</tr>
<tr>
<td></td>
<td><em>6.510</em></td>
<td><em>54.6</em></td>
<td><em>18.3</em></td>
<td><em>44.2</em></td>
<td><em>25.9</em></td>
<td><em>5.2</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>6.4</em></td>
</tr>
<tr>
<td><strong>Blackheath</strong></td>
<td><strong>22.514</strong></td>
<td><strong>41.5</strong></td>
<td><strong>22.7</strong></td>
<td><strong>38.6</strong></td>
<td><strong>18.0</strong></td>
<td><strong>12.4</strong></td>
<td><strong>--</strong></td>
<td><strong>--</strong></td>
<td><strong>--</strong></td>
<td><strong>--</strong></td>
<td><strong>8.2</strong></td>
</tr>
<tr>
<td></td>
<td><em>6.510</em></td>
<td><em>67.8</em></td>
<td><em>25.6</em></td>
<td><em>29.5</em></td>
<td><em>32.6</em></td>
<td><em>8.5</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>--</em></td>
<td><em>3.8</em></td>
</tr>
<tr>
<td><strong>Brockley</strong></td>
<td><strong>22.514</strong></td>
<td><strong>35.6</strong></td>
<td><strong>7.6<br/>92.</strong></td>
<td><strong>37.4<br/>35.1<br/>16.0<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/></strong></td>
<td><strong>4.3<br/>32.</strong></td>
<td><strong>27.2<br/>27.8<br/>--<br/>--<br/>--<br/>--<br/></strong></td>
<td><strong>--<br/>5.5<br/>--<br/></strong></td>
<td><strong>--<br/>--<br/></strong></td>
<td colspan="3"><strong>--<br/></strong> <strong>--<br/></strong> <strong>--<br/></strong> <strong>--<br/></strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> <strong> </trg
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<page_number>126</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Results**
<table>
<thead>
<tr>
<td rowspan="2">Blackheath<br>2 LAB gains from LD</td>
<td colspan="3">Turnout 41.5%</td>
<td rowspan="2">Catford South<br>No change</td>
<td colspan="3">Turnout 37.8%</td>
</tr>
<tr>
<td>LAB</td>
<td>1,780</td>
<td>Amrani, Abdeslam *</td>
<td>LAB</td>
<td>2,177</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bonavia, Kevin *</td>
<td>LAB</td>
<td>1,656</td>
<td>Smith, Alan *</td>
<td>LAB</td>
<td>1,975</td>
</tr>
<tr>
<td>De Ryk, Amanda Ms. *</td>
<td>LAB</td>
<td>1,370</td>
<td>Stamirovski, Eva Ms. *</td>
<td>LAB</td>
<td>1,952</td>
</tr>
<tr>
<td>Siddorn, Gareth J.</td>
<td>LAB</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Attfield, Caroline L. Ms.</td>
<td>CON</td>
<td>1,012</td>
<td>Hamilton, David</td>
<td>LPBP</td>
<td>739</td>
</tr>
<tr>
<td>Nundy, Simon J.</td>
<td>CON</td>
<td>982</td>
<td>Harris, Helen C. Ms.</td>
<td>CON</td>
<td>615</td>
</tr>
<tr>
<td>Maines, Chris*</td>
<td>LD</td>
<td>897</td>
<td>Faulkner, Graham</td>
<td>GRE</td>
<td>548</td>
</tr>
<tr>
<td>Crozier, Jonathan P. B.</td>
<td>CON</td>
<td>832</td>
<td>Lake, Adam H.</td>
<td>CON</td>
<td>538</td>
</tr>
<tr>
<td>Nathan, Adam</td>
<td>LD</td>
<td>731</td>
<td>Murphy, Florence Ms.</td>
<td>GRE</td>
<td>493</td>
</tr>
<tr>
<td>Ramrayka, Peter</td>
<td>LD</td>
<td>617</td>
<td>Harlow, Martin</td>
<td>GRE</td>
<td>491</td>
</tr>
<tr>
<td>Pollock, Karen Ms.</td>
<td>GRE</td>
<td>542</td>
<td>Sydlow, Sybbourne S. B.</td>
<td>CON</td>
<td>475</td>
</tr><tr><th colspan="6">Brockley<br>No change<br></th></tr><tr><th colspan="6">Turnout 35.6%</th></tr><tr><th>Adefiranye, Obajimi *</th><th>LAB<br></th><th>2,052<br></th><th>Crofton Park<br>T LAB gain from LD<br></th><th colspan="2">Turnout 40.6%</th></tr><tr><th>Kennedy, Alicia P. Ms.</th><th>LAB<br></th><th>1,828<br></th><th>Barnham, Chris<br>Morrison, Pauline Ms. *</th><th>LAB<br></th><th>2,057<br></th></tr><tr><th>Coughlin, John<br/>Watts, Jon<br/>Vajda, Violetta Ms.</th><th>GRE<br>LAB<br>GRE<br></th><th>1,495<br>1,442<br>1,228<br></th><th>Kennedy, Roy F.<br/>Casey, Alice Ms.<br/></th><th>LAB<br></th><th>1,969<br/><br/>1,753<br/></th></tr><tr><th>Hawkins, Matt<br/>Abse, Toby<br/>Kitson, Julie Ms.</th><th>GRE<br>LBPB<br>CON<br/></th><th>1,144<br>677<br>387<br/></th><th>Pick, Alison Ms.<br>Anne Ms.<br/></th><th>GRE<br>GRE<br>GRE<br/></th><th>856<br/>797<br/>797<br/></th></tr><tr><th>Cope, John<br/>Lewis, Roger O.<br/>Frith, Emily Ms.<br/>Webb, Ken<br/>Shrives, Roger H.</th><th>CON<br>CON<br>LD<br>UKIP<br>TUSC<br/></th><th>363<br>336<br>279<br>260<br>181<br/></th><th>Antoniades, Nik<br>Catherine S. L. Ms.<br>Baker, Michael J. P.<br>Lowe, Karen S. Ms.<br>Murphy, Paul<br>Simpson Elizabeth A. Ms.<br/>Pluygers, Catherine Ms.<br/>Town, Bill<br/>Badger, Philip</th><th>LPBP<br>CON<br>CON<br>CON<br>LD<br>UKIP<br>LD<br>DROP</th><th>603<br/>501<br/>375<br/>371<br/>346<br/>330<br/>226<br/>59</th></tr><tr><th>Murray, Brenda V. Ms.<br/>Rebbeck, James M.</th><th>LD LD</th><th>173<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>TUSC<BR>tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tusc_tuscc_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_c_<page_number>Lewisham_000000000000000000000000000000000000000000000000000000000000_126_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Results_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_Lewisham_l 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ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ms m ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls l ls lls les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les les 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SeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSeSee See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See See 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cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc 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C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCC CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPP PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPIPPIIIIIIIIIIIIIIIPPIIIIIIIIIIIIIIIPPIIIIIIIIIIIIIPPIIIIIIIIIIIPPIIIIIIIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPPIIIPP I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXX
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewishiam
Lewi
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>127</page_number>
<table>
<thead>
<tr>
<td>Downham<br>3 LAB gains from LD</td>
<td>Turnout 35.5%</td>
<td>Forest Hill<br>2 LAB gains from LD</td>
<td>Turnout 41.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bourne, Andre M.<br>Britton, David S.</td>
<td>LAB<br>1,366<br>1,315</td>
<td>Hilton, Maja Ms.<br>Bernards, Peter K.</td>
<td>LAB<br>1,869<br>1,718</td>
</tr>
<tr>
<td>Ogunbadewa, Olurotimi J.</td>
<td>LAB<br>1,029</td>
<td>Upex, Paul</td>
<td>LAB<br>1,595</td>
</tr>
<tr>
<td>Brooks, Duwayne<sup>*</sup><br>Dimambro, Massimo J.</td>
<td>LD<br>965<br>853</td>
<td>Feakes, Alexander<sup>*</sup><br>Crozier, George</td>
<td>LD<br>1,118<br>732</td>
</tr>
<tr>
<td>Fletcher, Julia Ms.<sup>*</sup></td>
<td>UKIP<br>705</td>
<td>Wilson, Margot Ms.</td>
<td>LD<br>707</td>
</tr>
<tr>
<td>Cobham, Joe</td>
<td>LD<br>686</td>
<td>Taylor, Oliver</td>
<td>GRE<br>693</td>
</tr>
<tr>
<td>Davis, David</td>
<td>CON<br>358</td>
<td>Jones, Peter</td>
<td>GRE<br>676</td>
</tr>
<tr>
<td>Barron-Woolford, Wayne<br>Hill, Michael J.</td>
<td>PBPP<br>309<br>306</td>
<td>Thompson, Helen Ms.</td>
<td>GRE<br>545</td>
</tr>
<tr>
<td>Miller, Catherine Ms.</td>
<td>GRE<br>274</td>
<td>Ferguson, Chris</td>
<td>CON<br>537</td>
</tr>
<tr>
<td>Kent, Nicholas H.</td>
<td>CON<br>273</td>
<td>Squires, Ray<br>Tebble, Paul</td>
<td>CON<br>506<br>437</td>
</tr>
<tr>
<td>Mustafa, Selim</td>
<td>GRE<br>151</td>
<td>Cain, Ruth C. Ms.</td>
<td>PBPP<br>378</td>
</tr>
<tr>
<td>Solly, Imogen Ms.</td>
<td>GRE<br>145</td>
<td>Oakley, Paul</td>
<td>UKIP<br>378</td>
</tr>
<table border="1">
<thead>
<tr><th>Evelyn No change</th><th></th><th></th><th></th></tr>
<tr><th colspan="4">Grove Park Turnout 35.9%</th></tr>
<tr><th></th><th></th><th></th><th></th></tr>
<tr><th>No change</th><th></th><th></th><th></th></tr>
<tr><th>Michael, David</th><th>LAB<br>1,930</th><th>Clarke, Suzannah Ms.<sup>*</sup></th><th>LAB<br>1,732</th></tr>
<tr><th>Miline, Jamie</th><th>LAB<br>1,743</th><th>Moore, Hilary C. Ms.</th><th>LAB<br>1,288</th></tr>
<tr><th>No change Onuegbu, Crada Ms.<sup>*</sup></th><th>LAB<br>1,571</th><th>Elliott, Colin M.</th><th>LAB<br>1,222</th></tr>
<tr><th>Hallam, George</th><th>PBPP<br>651</th><th>Allison, Christine Ms.<sup>*</sup></th><th>CN<br>1,035</th></tr>
<tr><th>No change Phoenix, Paul</th><th>PBPP<br>601</th><th>Lello, Peter J.</th><th>UKIP<br>838</th></tr>
<tr><th>No change Janiszewska, Barbara M. Ms.</th><th>PBPP<br>599</th><th>Archer, Ross K.</th><th>CN<br>786</th></tr>
<tr><th>Bushell, Emma Ms.</th><th>GRE<br>546</th><th>Lee, Andrew J.</th><th>CN<br>682</th></tr>
<tr><th>Britton, Andria Ms.</th><th>GRE<br>349</th><th>Cunningham, Mark<br>PBPP<br>Mary P. Ms.</th><th>GRE<br>409<br>PBPP<br>Mary P. Ms.</th></tr>
<tr><td>Foreman, Patsy Ms.</td><td>LDBP<br>323</td><td>Cox, Martin<br>PBPP<br>Linda F. Ms.</td><td>GRE<br>338</td></tr>
<tr><td>No change Plummer, Dave</td><td>GRE<br>282</td><td>walker Lee</td><td>GRE<br>PBPP<br>Linda F. Ms.</td></tr>
<tr><td>Smithard, Tom</td><td>LDBP<br>PBPP<br>Linda F. Ms.</td><td>Dixon, Zoe J. Ms.</td><td>PBPP<br>Linda F. Ms.</td></tr>
<tr><td>No change Passande, Martin Leech Jess Ms.</td><td>TUSC 161 LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LBPP 2 LAB gains from CON LADYWELL No change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><th>Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill No change Brown Bill nochange Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl* Handley Carl*</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead>
<tr><<th>No Change Ladywell Turnout 45.0%</table>
<table border="1">
<thead
...
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<tr style="background-color: #f0f0f0;">
<td colspan="4" style="padding: .5em;">Lewisham
<hr style="border-top: thin solid black; margin-top: .5em; margin-bottom: .5em;">
</td>
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<tr style="background-color: #f0f0f0;">
<td style="vertical-align: top; padding-right: .5em; padding-left: .5em; width: auto; text-align:left;">
Evelyn
<br>No Change
</td>
<td style="vertical-align: top; padding-right: .5em; padding-left: .5em; width: auto; text-align:right;">
Turnout <strong style="color:red;">31.2%</strong>
Grove Park
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<tr style="background-color: #f0f0f0;">
<td style="vertical-align: top;">
Michael
<br>David
<br>Miline
<br>Jamie
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
<br>Nochange
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```
<page_number>128</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Lewisham**
<table>
<thead>
<tr>
<td>Lee Green<br>2 LAB gains from LD</td>
<td>Turnout 44.2%</td>
<td>New Cross<br>No change</td>
<td>Turnout 32.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Mallory, Jim*<br>Hooks, Simon T.<br>Raven, Pat Ms.</td>
<td>LAB<br>2,156<br>1,973<br>1,598</td>
<td>Dacres, Brenda V. Ms.<br>Dromey, Joe<br>Maslin, Paul*</td>
<td>LAB<br>1,862<br>1,698<br>1,342</td>
</tr>
<tr>
<td>Beck, Pauline Ms.*<br>Griesenbeck, Sven*</td>
<td>LD<br>885</td>
<td>Barron-Woolford, Ray</td>
<td>LBPB<br>884</td>
</tr>
<tr>
<td>Sweeney, John F. M.</td>
<td>LD<br>794</td>
<td>Raymond, Barbara Ms.</td>
<td>LBPB<br>729</td>
</tr>
<tr>
<td>Chipps, Brian</td>
<td>CON<br>684</td>
<td>Gooding, Tessa Ms.</td>
<td>GRE<br>634</td>
</tr>
<tr>
<td>Acton, Charles</td>
<td>CON<br>681</td>
<td>Baulch, Clive W.</td>
<td>LBPB<br>588</td>
</tr>
<tr>
<td>Bennett, Mark</td>
<td>LD<br>568</td>
<td>Green, Sylvia Ms.</td>
<td>GRE<br>453</td>
</tr>
<tr>
<td>Tousi, Mahyar</td>
<td>CON<br>542</td>
<td>Iredale, Andrew</td>
<td>GRE<br>384</td>
</tr>
<tr>
<td>Richardson, Peter L.</td>
<td>PBPP<br>526</td>
<td>Edgerton, David T.</td>
<td>CON<br>258</td>
</tr>
<tr>
<td>Hughes, Andrea Ms.</td>
<td>GRE<br>476</td>
<td>Solomons, Orde P.</td>
<td>CON<br>229</td>
</tr>
<tr>
<td>Shea, Eion</td>
<td>GRE<br>415</td>
<td>Farley, Susanna J. Ms.</td>
<td>TUSC<br>181</td>
</tr>
<tr>
<td>Ambrose, Gerard</td>
<td>IND<br>256</td>
<td>Frith, Alexander</td>
<td>LD<br>176</td>
</tr>
<tr>
<td>Rumney, Steve</td>
<td>TUSC<br>137</td>
<td>Gambell, Derek<br>Law, Douglas P.</td>
<td>LD<br>109<br>85</td>
</tr>
<table border="1">
<thead><tr><th>Lewisham Central No change Perry Vale Turnout 38.8%</th></tr></thead><tbody><tr><th>Jeffrey, Stella Ms.* No change LAB 2,514 Paschold, John* LAB 2,412 Till, Alan* LAB 2,085 Wise, Susan Ms.* LAB 1,942 Egan, Damien* Reid, Joani Ms. Ashwell, Corin Luxton, Sue Ms. Appleby, Benjamin P. H. Proctor, Richard G. Fleming, Geoff Schomburg, Antony C. W. Sutton, Tracy Ms. Poorun, Storm Foster, Rebecca A. Ms. Hebditch, Richard F. Mayers, Marcus Beadle, Andy UKIP CON CON GRE CON GRE GRE CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con ConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConCon-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-Con-CO-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CON-CONTSC-TUSC-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LD-LDH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HH-HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIHiIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIRRIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEIEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>129</page_number>
<table>
<thead>
<tr>
<td>Rushey Green<br>No change</td>
<td>Turnout 33.4%</td>
<td>Telegraph Hill<br>No change</td>
<td>Turnout 39.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Klier, Helen Ms. *</td>
<td>LAB<br>1,784</td>
<td>Millbank, Joan Ms. *</td>
<td>LAB<br>2,278</td>
</tr>
<tr>
<td>Muldoon, John*</td>
<td>LAB<br>1,453</td>
<td>Bell, Paul*</td>
<td>LAB<br>2,153</td>
</tr>
<tr>
<td>Walsh, James-J</td>
<td>LAB<br>1,246</td>
<td>Sorba, Luke</td>
<td>LAB<br>1,761</td>
</tr>
<tr>
<td>Grieffths, Damian<br>Hall, Natalie Ms.</td>
<td>LPBP<br>559<br>GRE<br>501</td>
<td>Hamilton, John N.<br>Venn, Louise Ms.</td>
<td>LBPB<br>1,259<br>GRE<br>784</td>
</tr>
<tr>
<td>Elliott, Natasha Ms.</td>
<td>GRE<br>468</td>
<td>Flood, Christopher<br>Woodhouse, Emily Ms.</td>
<td>TUSC<br>659<br>GRE<br>647</td>
</tr>
<tr>
<td>Keidan, John</td>
<td>GRE<br>334</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Burley, Thomas A.</td>
<td>CON<br>329</td>
<td>Torry, Nick</td>
<td>GRE<br>632</td>
</tr>
<tr>
<td>Cleverly, Susannah J. T. Ms.</td>
<td>CON<br>256</td>
<td>Kerr, James G.</td>
<td>TUSC<br>321</td>
</tr>
<tr>
<td>Adams, Melinda Ms.</td>
<td>APP<br>213</td>
<td>Reeves, Stephanie A. Ms.</td>
<td>CON<br>293</td>
</tr>
<tr>
<td>Malham, Mary Ms.</td>
<td>LD<br>173</td>
<td>Mcleod, Cheryl Ms.</td>
<td>TUSC<br>278</td>
</tr>
<tr>
<td>Nestor, Frances M. Ms.</td>
<td>LD<br>151</td>
<td>Welland, Jonathan</td>
<td>CON<br>254</td>
</tr>
<tr>
<td>Walton, Benjamin C.</td>
<td>LD<br>116</td>
<td>Waine, Vivian H. R.</td>
<td>UKIP<br>247</td>
</tr>
<table border="1">
<thead><tr><th>Sydenham<br>No change</th><th style="text-align: right;">Turnout 37.9%</th><th></th><th style="text-align: right;">Turnout 34.7%</th></tr></thead><tbody><tr><td>Best, Chris Ms. *</td><td style="text-align: right;">LAB<br style="color: blue;">2,341</th><th style="text-align: left;">Peake, Philip</th><th style="text-align: right;">LD<br style="color: blue;">118</th></tr><tr><td>Curran, Liam *</td><td style="text-align: right;">LAB<br style="color: blue;">1,705</th><th style="text-align: left;"></th><th style="text-align: right;">LD<br style="color: blue;">154</th></tr><tr><td>Anikoski, Rachel Ms.</td><td style="text-align: right;">LAB<br style="color: blue;">1,684</th><th style="text-align: left;">Whitefoot 2 LAB gains from LD</th><th style="text-align: right;"></th></tr></tbody></table>
<table border="1">
<tbody><tr><th>Bays, Tony</th><th style="text-align: right;">CON<br style="color: blue;">727</th><th></th><th style="text-align: right;">LAB 1,851</th></tr><tr><td>Squires, Alexandra J. Ms.</td><td style="text-align: right;">CON<br style="color: blue;">693</th><th>Daby, Janet Ms. *</th><th style="text-align: right;">LAB 1,651</th></tr><tr><td>White, Isabel Ms.</td><td style="text-align: right;">GRE<br style="color: blue;">657</th><th>Ingleby, Mark*</th><th style="text-align: right;">LAB 1,444</th></tr><tr><td>Holland, Peter J. W.</td><td style="text-align: right;">UKIP<br style="color: blue;">572</th><th style="text-align: left;">Slater, Jonathan</th><th style="text-align: right;"></th></tr><tr><td rowspan="2">Stark, Ali Ap Seyssylt, Petroc Boyle, Marcus Gre Smith, Jim Polling, Kate Ms. Brackley, Frances P. Ms. Russell, John F. Smith, Adrien Squires,</td><td rowspan="2" colspan="2">CON 564 Pavey Matt 521 Hatleye Cherith C. Ms. Allen Martin Urquhart Iain M. C Dignan Danny Hurst Janet Ms Hicks Jeremy Naidu Vijay Somerset Anna Ms. Sanders Julian Redfarn Peter 502 436 271 235 227 116 GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE GRE TUSC CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD LD TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU TDU
<page_number>Lewisham</page_number></tbody></table>
<img>A table showing election results for the Lewisham borough council election in May 2014.</img>
<table border="0">
<tr align="right"><td colspan="3"></td></tr>
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<table border="0">
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<table border="0">
<tr align="right"><table border=""><tbody><tr align='center' class='header_bottom_margin'><th colspan='3'>Lewisham - May 2014 Election Results - Borough Council - Turnout & Seats Won (No Change)</th></tr><tr align='center' class='header_bottom_margin'><th>Election Result Type (No Change)</th><th>Election Result Value (No Change)</th><th>Election Result Value (Seats Won)</th></tr><tr align='center' class='header_bottom_margin'><td colspan='3'></table>
<table border='0'>
<thead align='center'>
<tr align='center'>
<th>Election Result Type (No Change)</th>
<th>Election Result Value (No Change)</th>
<th>Election Result Value (Seats Won)</th>
</tr>
</thead>
<tbody align='center'>
<tr align='center'>
<td colspan='3'></table>
<table border='0'>
<thead align='center'>
<tr align='center'>
<th>Election Result Type (No Change)</th>
<th>Election Result Value (No Change)</th>
<th>Election Result Value (Seats Won)</th>
</tr>
</thead>
<tbody align='center'>
<tr align='center'>
<table border='0'>
<tbody align='center'>
<tr align='center'>
<table border='0'>
<tbody align='center'>
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</tbody></table></table></table></table></table></table></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>
<table border='0' width=100% cellspacing=0 cellpadding=0>
<!-- Table for Lewisham Borough Council election results -->
<!-- This table shows the election results for the Lewisham borough council election in May 2014 -->
<!-- The table includes the election result type (No change), election result value (No change), and election result value (Seats won) -->
<!-- The table has three columns -->
<!-- The first column is for the election result type (No change) -->
<!-- The second column is for the election result value (No change) -->
<!-- The third column is for the election result value (Seats won) -->
<!-- The table has two rows -->
<!-- The first row is for the election result type (No change) -->
<!-- The second row is for the election result value (No change) -->
<!-- The first row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The second row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The table has three columns -->
<!-- The first column is for the election result type (No change) -->
<!-- The second column is for the election result value (No change) -->
<!-- The third column is for the election result value (Seats won) -->
<!-- The table has two rows -->
<!-- The first row is for the election result type (No change) -->
<!-- The second row is for the election result value (No change) -->
<!-- The first row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The second row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The table has three columns -->
<!-- The first column is for the election result type (No change) -->
<!-- The second column is for the election result value (No change) -->
<!-- The third column is for the election result value (Seats won) -->
<!-- The table has two rows -->
<!-- The first row is for the election result type (No change) -->
<!-- The second row is for the election result value (No change) -->
<!-- The first row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The second row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The table has three columns -->
<!-- The first column is for the election result type (No change) -->
<!-- The second column is for the election result value (No change) -->
<!-- The third column is for the election result value (Seats won) -->
<!-- The table has two rows -->
<!-- The first row is for the election result type (No change) -->
<!-- The second row is for the election result value (No change) -->
<!-- The first row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The second row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
<!-- The table has three columns -->
<!-- The first column is for the election result type (No change) -->
<!-- The second column is for the election result value (No change) -->
<!-- The third column is for the election result value (Seats won) -->
<!-- The table has two rows -->
<!-- The first row is for the election result type (No change) -->
<!-- The second row is for the election result value (No change) -->
<!-- The first row has three cells -->
<!-- The first cell is for the election result type (No change) -->
<!-- The second cell is for the election result value (No change) -->
<!-- The third cell is for the election result value (Seats won) -->
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I declare that I am not a member of any trade union and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any professional association and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any social club and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any sports club and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any cultural organization and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any educational institution and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any charitable organization and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any political party and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any religious organization and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any trade union and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any professional association and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any social club and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any sports club and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any cultural organization and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any educational institution and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any charitable organization and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any political party and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any religious organization and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any trade union and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any professional association and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any social club and that I do not intend to become a citizen of any other country within one year after my arrival in this country.
I declare that I am not a member of any sports club and that I do not intend to become
Please note that this code may contain errors or typos due to its age and complexity. It may also be incomplete or outdated in some cases. Please use it at your own risk and with caution.
If you have any questions about this code or would like to make changes to it please contact me at [email_address] or [phone number].
Thank you very much!
Best regards,
[Your Name]
[Your Address]
[City], [State] [Postal Code]
[Phone Number]
[Email Address]
I hereby affirm that I am not a resident of this country and
Please note
<page_number>130</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**By-elections**
<table>
<thead>
<tr>
<td>Lewisham</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>By-elections</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><strong>Ladywell</strong></td>
<td>Turnout 29.9%</td>
<td>Whitefoot</td>
<td>Turnout 22.2%</td>
</tr>
<tr>
<td><strong>04 November 2010</strong></td>
<td>No change</td>
<td>11 October 2012</td>
<td>LAB gain from LD</td>
</tr>
<tr>
<td><strong>Handley, Carl</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,231</strong></td>
<td><strong>Ingleye, Mark</strong></td>
<td><strong>LAB</strong></td>
<td><strong>924</strong></td>
</tr>
<tr>
<td>Michel, Ute</td>
<td>GRE</td>
<td>1,041</td>
<td>Hurst, Janet</td>
<td>LD</td>
<td>646</td>
</tr>
<tr>
<td>Chetram, Ingrid Ms.</td>
<td>LD</td>
<td>314</td>
<td>Nundy, Simon</td>
<td>CON</td>
<td>258</td>
</tr>
<tr>
<td>Mercer, Helen Ms.</td>
<td>LPBP</td>
<td>233</td>
<td>Hamilton, John</td>
<td>LPBP</td>
<td>241</td>
</tr>
<tr>
<td>Appleby, Ben</td>
<td>CON</td>
<td>153</td>
<td>Oakley, Paul</td>
<td>UKIP</td>
<td>100</td>
</tr>
<tr>
<td colspan="5"><em>Resignation of Shand, Tim (LAB)</em></td>
<td colspan="2">Michel, Ute<br>GRE<br>36</td>
</tr>
<tr style="border-top: none;">
<th><strong>Bellingham</strong></th>
<th><strong>Turnout 22%</strong></th>
<th colspan="5"><em>Evelyn Pattisson, Pete (LD)</em></th>
</tr>
<tr style="border-top: none;">
<th><strong>Bellingham<br>24 March 2011<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change)<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th>
<tr style="border-top: none;">
<th style="text-align:left;"><strong>Paschoud, Jacq </strong></th>
<th style="text-align:right;"><strong>LAB </strong></th>
<th style="text-align:right;"><strong>1,100 </strong></th>
<th style="text-align:right;"><strong>Evelyn Olufunke </strong></th>
<th style="text-align:right;"><strong>LAB </strong></th>
<th style="text-align:right;"><strong>Turnout 16.2% </strong></th>
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<tr style="border-top: none;">
<th style="text-align:left;"><strong>Nundy, Simon John </strong></th>
<th style="text-align:right;"><strong>CON </strong></th>
<th style="text-align:right;"><strong>340 </strong></th>
<th style="text-align:right;"><strong>Abidoye, Olufunke </strong></th>
<th style="text-align:right;"><strong>LAB </strong></th>
<th style="text-align:right;"><strong>978 </strong></th>
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<tr style="border-top: none;">
<th style="text-align:left;"><strong>Steele, Jenni Ms. </strong></th>
<th style="text-align:right;"><strong>LD </strong></th>
<th style="text-align:right;"><strong>334 </strong></th>
<th style="text-align:right;"><strong>Raymond, Barbara </strong></th>
<th style="text-align:right;"><strong>LPBP </strong></th>
<th style="text-align:right;"><strong>404 </strong></th>
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<tr style="border-top: none;">
<th style="text-align:left;"><strong>Page, Ian </strong></th>
<th style="text-align:right;"><strong>LPBP </strong></th>
<th style="text-align:right;"><strong>264 </strong></th>
<th style="text-align:right;"><strong>Town, Bill </strong></th>
<th style="text-align:right;"><strong>LD </strong></th>
<th style="text-align:right;"><strong>131 </strong></th>
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<tr style="border-top: none;">
<th style="text-align:left;"><strong>Laurie, Phil </strong></th>
<th style="text-align:right;"><strong>GRE </strong></th>
<th style="text-align:right;"><<strong>100 </strong></th>
<th style="text-align:right;"><strong>Nundy, Simon </strong></th>
<th style="text-align:right;"><<strong>CON </strong></th>
<th style="text-align:right;"><<strong>119 </strong></th>
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<tr style="border-top: none;">
<th style="text-align:left;"><em>Death of Stockbridge, Ronald (LAB)</em></th>
<th colspan="5"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
<!-- No table cell content -->
<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan="6"><em>Evelyn Folorunso, Joseph K. (LAB)</em></th>
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<tr style="border-top: none;">
<th colspan=
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>131</page_number>
**Merton**
Labour administration
<img>Map of Merton showing electoral wards and party colours.</img>
<legend>
Conservative
Labour
Residents' Association
Conservative/Liberal Democrat
</legend>
<table>
<thead>
<tr>
<td colspan="7">State of the parties, 1964-2014</td>
<td colspan="5">% share of the poll, 1964-2014</td>
</tr>
<tr>
<td></td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
<td>total</td>
<td></td>
<td>% poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>20</td>
<td>36</td>
<td>1</td>
<td>3</td>
<td>60</td>
<td>22.5.14</td>
<td>41.3</td>
<td>27.6</td>
<td>43.4</td>
<td>9.6</td>
<td>19.3</td>
</tr>
<tr>
<td>6.5.10</td>
<td>27</td>
<td>28</td>
<td>2</td>
<td>3</td>
<td>60</td>
<td>6.5.10</td>
<td>66.3</td>
<td>32.8</td>
<td>35.3</td>
<td>20.5</td>
<td>11.4</td>
</tr>
<tr>
<td>4.5.06</td>
<td>30</td>
<td>27</td>
<td>-</td>
<td>3</td>
<td>60</td>
<td>4.5.06</td>
<td>42.9</td>
<td>40.1</td>
<td>31.3</td>
<td>15.5</td>
<td>13.2</td>
</tr>
<tr>
<td>2.5.02</td>
<td>25</td>
<td>32</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>2.5.02</td>
<td>38.3</td>
<td>45.5</td>
<td>-</td>
<th colspan="2">17.7<br><br></th>
</tr>
<tr>
<th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br/><table id='table_0'><thead id='table_0_header'><tr id='table_0_header_row'><colgroup id='table_0_header_colgroup'><col id='table_0_header_column_0' /><col id='table_0_header_column_1' /><col id='table_0_header_column_2' /><col id='table_0_header_column_3' /><col id='table_0_header_column_4' /><col id='table_0_header_column_5' /><col id='table_0_header_column_6' /><col id='table_0_header_column_7' /><col id='table_0_header_column_8' /><col id='table_0_header_column_9' /><col id='table_0_header_column_10' /><col id='table_0_header_column_11' /><col id='table_0_header_column_12' /><col id='table_0_header_column_13' /><col id='table_0_header_column_14' /><col id='table_0_header_column_15' /><col id='table_0_header_column_16' /><col id='table_0_header_column_17' /><col id='table_0_header_column_18' /><col id='table_0_header_column_19' /><col id='table_0_header_column_20' /><col id='table_0_header_column_21' /><col id='table_0_header_column_22' /></tr></thead><tbody id='table_0_body_row'><tr class='header_bottom_margin' colspan='23'><div class='header_bottom_margin'></div></tr>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class="header_bottom_margin"></div>'id="row_id"><tr class="header_bottom_margin" style="height: auto;"><div class " header bottom margin">General statistics<br/><hr/></div>'
<div style= 'display:none;'>
<table cellspacing= 'none'>
<tr cellspacing= 'none'>
<td colspan= '3'>Merton London<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Electorate<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2014<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2010<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Resident population aged 18 and over<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Mid 2014<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Mid 2010<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Estimated % unemployed<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>2013/14<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>2009/10<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Band 'D' council tax<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2014<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2010<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>Merton<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2014<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2010<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>London<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2014<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'>May 2010<br/><hr/></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'><span style = "font-size : large;">Merton London </span> <span style = "font-size : large;">London </span> </span> </tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'><span style = "font-size : large;">Merton London </span> </tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'><span style = "font-size : large;">May ><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>><span style = "font-size : large;"> May </span>></tbody>'
<tr cellspacing= 'none'>
<td colspan= '3'><strong>Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton London Merton Londo...
132
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Merton
<table>
<thead>
<tr>
<td></td>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Abbey</td>
<td></td>
<td>22.5.14</td>
<td>43.4</td>
<td>30.5</td>
<td>44.0</td>
<td>6.1</td>
<td>12.1</td>
<td>-</td>
<td>7.4</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td></td>
<td>6.5.10</td>
<td>66.3</td>
<td>39.3</td>
<td>35.4</td>
<td>25.3</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Cannon Hill</td>
<td></td>
<td>22.5.14</td>
<td>49.3</td>
<td>32.1</td>
<td>45.5</td>
<td>5.7</td>
<td>-</td>
<td>-</td>
<td>16.6</td>
<td>-</td>
<td>-</td>
<td>-<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<tr style="border-top: 1px solid black;">
<th colspan="13">Colliers Wood<br>22.5.14<br>37.5<br>19.8<br>52.1<br>7.3<br>16.7<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<b style="color: blue;">4.1<br></b></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="13">Cricket Green<br>22.5.14<br>40.1<br>13.9<br>69.9<br>4.8<br>-<b style="color: blue;">-<b style="color: blue;"><b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-<b style="color: blue;">-</b></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="13">Dundonald<br>22.5.14<br>44.7<br>22.5<br>25.6<br>-<b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color: red;"><b style="color:red"><span id='red'>-</span></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan='13'></th></tr>
<tr class='header_bottom_margin'>
<th colspan ' 8' >Figge's Marsh<br>22.5.14<br>37.8<br>13.6<br>80.3<br>6.1<br>-<span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> <span id=red>- </span> & <u>Merton Park<br>22.5.14<br>47.4<br>16.4<br>5.</u><u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u>u</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div</div"
id="" value="">6.<sup>Merton Park<br>22.5.14<br>47.4<br>16.</sup><br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <br/>- <b
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>22.</sup>&
id="" value="">6.<sup>Merton Park<br>2
<div align=center valign=top>"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park"
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park"
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park"
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park"
"Ravensbury
Raynes Park
St Helier
Trinity
Village
West Barnes
Wimbledon Park"
"Ravensbury
Raynes Park
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>133</page_number>
**Results**
<table>
<thead>
<tr>
<th>Abbey</th>
<th>Turnout 43.4%</th>
<th>Cricket Green</th>
<th>Turnout 40.1%</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4">No change</td>
</tr>
<tr>
<td>2 LAB gains from CON</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Jones, Abigail Ms.</td>
<td>LAB</td>
<td>1,563</td>
<td>Munn, Ian*</td>
<td>LAB</td>
<td>2,204</td>
</tr>
<tr>
<td>Judge, Andrew*</td>
<td>LAB</td>
<td>1,560</td>
<td>Makin, Russell*</td>
<td>LAB</td>
<td>2,170</td>
</tr>
<tr>
<td>Neep, Katy Ms.</td>
<td>LAB</td>
<td>1,519</td>
<td>Saunders, Judy Ms. *</td>
<td>LAB</td>
<td>2,107</td>
</tr>
<tr>
<td>Nelless, Henry*</td>
<td>CON</td>
<td>1,136</td>
<td>Mansfield, Barbara Ms.</td>
<td>CON</td>
<td>467</td>
</tr>
<tr>
<td>Smith, Peter</td>
<td>CON</td>
<td>1,104</td>
<td>Hollingsworth, Andrew</td>
<td>CON</td>
<td>449</td>
</tr>
<tr>
<td>Sepulveda, Cesar</td>
<td>CON</td>
<td>975</td>
<td>Hutchings, Alan</td>
<td>MIP</td>
<td>386</td>
</tr>
<tr>
<td>Wood, David</td>
<td>GRE</td>
<td>425</td>
<td>Warner, Carl</td>
<td>CON</td>
<td>375</td>
</tr>
<tr>
<td>Berry, Pauline Ms.</td>
<td>LD</td>
<td>284</td>
<td>Mansfield, John</td>
<td>MIP</td>
<td>360</td>
</tr>
<tr>
<td>Alagaratnam, Rathy</td>
<td>UKIP</td>
<td>259</td>
<td>Morrison, Stuart</td>
<td>MIP</td>
<td>310</td>
</tr>
<tr>
<td>Heinrich, Richard</td>
<td>LD</td>
<td>202</td>
<td>Pizey, Nicholas</td>
<td>LD</td>
<td>147</td>
</tr>
<table style="width: 100%;">
<thead style="background-color: #D3D3D3;">
<tr style="background-color: #D3D3D3;">
<th>Cannon Hill<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th>
<th style="text-align: center;">Turnout 49.3%</th>
<th style="text-align: center;"><strong>Dundonald<br>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><strong>Turnout 44.7%</strong></th>
<th style="text-align: center;"><strong>No change<br></strong></th>
<th style="text-align: center;"><<strong>Turnout 38.8%</str=""></s="">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#D3D3D3">tyle:"background-color:#E0E0E0">eal color="#E0E0E0" background color="#E0E0E0" border color="#E0E0E0" border width "1px" border type "solid" border position "all" border radius "none" border bottom color "#E0E0E0" border top color "#E0E0E0" border left color "#E0E0E0" border right color "#E0E0E0" border bottom color "#E0E0E0" border top color "#E0E0E0" border left color "#E0E0E0" border right color "#E0E0E0" border bottom color "#E0E0E0" border top color "#E0E0E0" border left color "#E0E0E0" border right color "#E0E0E0" border bottom color "#E0E0E0" border top color "#E0E0E0" border left color "#E0E0E0" border right color "#E0E0E0" border bottom color "#F8F8F8" border top color "#F8F8F8" border left color "#F8F8F8" border right color "#F8F8F8" border bottom color "#F8F8F8" border top color "#F8F8F8" border left color "#F8F8F8" border right color "#F8F8F8" border bottom color "#F8F8F8" border top color "#F8F8F8" border left color "#F8F8F8" border right color "#F8F8F8" border bottom color "#FFFFFF" border top color "#FFFFFF" border left color "#FFFFFF" border right color "#FFFFFF" border bottom color "#FFFFFF" border top color "#FFFFFF" border left color "#FFFFFF" border right color "#FFFFFF" border bottom color "#FFFFFF"></table>
<table style="width: 100%;">
<thead style="background-color: #BEBEBB;">
<tr style="background-color: #BEBEBB;">
<th colspan="2"><u>Cannon Hill<br> </u> <u> No gain from CON<br> </u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u> <u> </u>&gt; < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < >
<u>Cannon Hill<br>No gain from CON<br/></u>*<span class='highlight'>BYERS, TOBIN LAB 1,686 Dean, David* CON 1,408 BULL, MICHAEL CON 1,355 CROCKETT SUZANNE MS.* CON 1,256 GADZAMA, FIDELIS LAB 1,556 BAILEY GILES LD 795 BUSH, OMAR CON 1,227 FAIRCLAUGH ANTHONY LD 782 LOHENDRAN, LOGIE* CON 1,155 COMAN DANA MS.* LD 791 MILLIS ANDREW UKIP 597 ADEGBOYEYA ADENIYI LAB 665 COPE, ANDREW LD 254 BUSBRIDGE WAYNE LAB 657 MACVEIGH, Vivian MS. LD 227 EDWARDS EDDIE UKIP 229 MALIK, COSETTE LD 129 FIGGE'S MARSH Turnout 29% No change AKYIGYINA AGATHA M. MS.* LAB 2,599 STANFORD GERALDAINE MS.* LAB 2,599 ATTAWAR LAXMI MS.* LAB 1,699 WALKER PETER* LAB 2,599 LORD, PETER CON 675 MOULTON HENRY CON 699 CRYMBLE ADAM CON 665 TELFORD JOHN CON 699 FRASCHINI GUISSEPPE CON 615 CARGIN PETER LD 699 WEIR IAN GRE 555 GRAVENESS Turnout 29% No change DEHANEY JOHN* LAB 2,599 KIRBY LINDA MS.* LAB 2,599 UDEH GREG* LAB 2,599 BRIERLY MARGARET MS. CON 699 HAMMON D ALICE MS. CON 699 HAMMON D SALLY MS. CON 699 HARDY PETER LD 699 Fletcher Benedict MS. LD 699 Kay-Kreisman Rodney TUSC 699
<u>Cannon Hill<br>No gain from CON<br/></u>*<span class='highlight'>BYERS, TOBIN LAB 1,686 Dean, David* CON 1,408 BULL MICHAEL CON 1,355 CROCKETT SUZANNE MS.* CON 1,256 GADZAMA FIDELIS LAB 1,556 BAILEY GILES LD 795 BUSH OMAR CON 1,227 FAIRCLAUGH ANTHONY LD 782 LOHENDRAN LOGIE* CON 1,155 COMAN DANA MS.* LD 791 MILLIS ANDREW UKIP 597 ADEGBOYEYA ADENIYI LAB 665 COPE ANDREW LD 254 BUSBRIDGE WAYNE LAB 657 MACVEIGH VIVIAN MS. LD 227 EDWARDS EDDIE UKIP 229 MALIK COSETTE LD
<u>Cannon Hill No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON No gain from CON no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change no change nochange
<u>Cannon Hill NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NO CHANGE NOCHANGE
<u>Cannon Hill
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
NO GAIN FROM
CON
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<page_number>134</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Merton**
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Hillside<br>No change</td>
<td></td>
<td>Turnout 38.2%</td>
<td>Merton Park<br>No change</td>
<td>Turnout 47.4%</td>
</tr>
<tr>
<td>Simpson, David*<br>Williams, David*</td>
<td>CON<br>CON</td>
<td>1,309<br>1,281</td>
<td>Sargeant, John*<br>Southgate, Peter*</td>
<td>REA<br>REA</td>
<td>2,123<br>2,052</td>
</tr>
<tr>
<td>Holden, Daniel<br>Gordon, Michelle Ms.<br>Kane, Tony</td>
<td>CON<br>LAB</td>
<td>1,269<br>634<br>603</td>
<td>Foley, Edward<br>Cotterill, David<br>Draper, Anthony</td>
<td>REA<br>CON<br>LAB</td>
<td>2,047<br>566<br>552</td>
</tr>
<tr>
<td>Mckearon, Christopher<br>Fowler, Carmel Ms.<br>Evans, Suzanne Ms.*<br>Norbrook, Hamish</td>
<td>LAB<br>LD<br>UKIP<br>LD</td>
<td>533<br>453<br>342<br>337</td>
<td>Lawrence, Robert<br>Bustin, Nicholas<br>Savill, Ross<br>Ocansey, Charles</td>
<td>CON<br>CON<br>LAB<br>LAB</td>
<td>520<br>516<br>496<br>495</td>
</tr>
<tr>
<td>Hasan, Mohammed<br>Lavender Fields<br>No change</td>
<td>LD<br>LAB</td>
<td>336<br>1,682</td>
<td>Burch, Duncan<br>Dalton, John<br>Malik, Nazir</td>
<td>LD<br>LD<br>LD</td>
<td>143<br>143<br>115</td>
</tr>
<tr>
<td>Allison, Mark*<br>Garrod, Ross<br>Macauley, Edith*</td>
<td>LAB<br>LAB</td>
<td>1,682<br>1,633</td>
<td>Pollards Hill<br>No change</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td>
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<tr>
<td></td><td></td><td></td><td></ td><br>Hanna, Jeff*</br><br>Hawthorn, Martin*</br> <br>Pollard, Martin*</br> </br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</br> <br>Pollard, Martin*</b
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>135</page_number>
<img>Merton logo</img>
**Raynes Park**
No change
<table>
<thead>
<tr>
<td></td>
<td>Turnout 41.8%</td>
<td>Village</td>
<td>Turnout 45.2%</td>
</tr>
</thead>
<tbody>
<tr>
<td>West, Jill Ms.</td>
<td>CON<br>1,419</td>
<td>Badenoch, Hamish<br>Bowcott, John*</td>
<td>CON<br>2,067</td>
</tr>
<tr>
<td>Bush, Adam</td>
<td>CON<br>1,415</td>
<td>Latif, Najeb Ms.</td>
<td>CON<br>2,055</td>
</tr>
<tr>
<td>Crowe, Stephen</td>
<td>CON<br>1,410</td>
<td></td>
<td>CON<br>1,848</td>
</tr>
<tr>
<td>Honor, Alison Ms.</td>
<td>LAB<br>809</td>
<td>Bottnell, Bill</td>
<td>LAB<br>385</td>
</tr>
<tr>
<td>Lucas, Charles</td>
<td>LAB<br>716</td>
<td>Paul, Brian</td>
<td>LAB<br>300</td>
</tr>
<tr>
<td>Nargund, Praful</td>
<td>LAB<br>672</td>
<td>Scott, Rod</td>
<td>UKIP<br>298</td>
</tr>
<tr>
<td>Armer, David</td>
<td>LD<br>547</td>
<td>Redding, Mason</td>
<td>GRE<br>268</td>
</tr>
<tr>
<td>Bernard, Jennifer Ms.</td>
<td>LD<br>471</td>
<td>Khan, Habibullah Ms.</td>
<td>LAB<br>253</td>
</tr>
<tr>
<td>Whincup, Kevin</td>
<td>LD<br>444</td>
<td>Mcgrath, Simon</td>
<td>LD<br>217</td>
</tr>
<tr>
<td>Burton, Peter</td>
<td>UKIP<br>339</td>
<td>Oxford, Diana Ms.</td>
<td>LD<br>213</td>
</tr>
<tr>
<td>Ash, David</td>
<td>KSHH<br>233</td>
<td>Sheridan, Daniel</td>
<td>LD<br>164</td>
</tr>
<tr><td colspan="4">St. Heller Turnout 38.7%</td></tr><tr><td colspan="4">West Barnes Turnout 47.0%</td></tr><tr><td colspan="4">No change 1 CON gain from LD Lewis-Lavender, Gilli Ms. * CON 1,424 Jeanes, Mary-Jane Ms. * LD 1,311 Lewis-Lavender, Brian CON 1,252 Dysart, Ian* LD 1,218 Lampit, Andre UKIP 663 Windsor, Miles CON 966 Challouma, Chris CON 505 Ling, Philip LD 902 Mclaughlin, Chris CON 435 Chung, Irina Ms. LAB 581 Lenon, Hugh CON 421 Neil, Jerome LAB 577 Parritt, Simon LD 203 Thomas, Sam LAB 520 Trinity Turnout 39.5% Barraball, Charles GRE 455 O'Gorman, Nicolas UKIP 429 No change Holmes, James * CON 1,283 Wimbledon Park Turnout 39.8% Chirico, Charlie CON 1,270 Latif, Abdul CON 1,119 No change Blakeney, Mike LAB 940 Howard, Janice Ms. * CON 1,497 Moulton, Onagh Ms. * CON 1,424 Taylor, Linda Ms. * CON 1,367 Colbert, John LAB 814 Constant, Hugh* LAB 904 Warner, Haile Ms. LAB 763 Williams, Alisa Ms. LAB 747 Carter, Helen Ms. LD 364 Rahman Motiur LAB 746 Bertero, Federico LD 290 Collins, Liam GRE 524 Payne, Matthew LD 283 Doran, Edward LD 368 Moass, Dominic UKIP 263 Mcaleer, Mark UKIP 366 Busby, Dave LD 351 Kouadio, Denis LD 299 Ash, Sandra Ms. KSHH 189 </table>
---
<page_number>Merton logo page number (e.g., page_2)</page_number>
<page_number>136</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Merton
By-elections
<table>
<thead>
<tr>
<td></td>
<td></td>
<td>Turnout 48%</td>
<td>Colliers Wood</td>
<td>Turnout 29.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="5">Wimbledon Park<br>03 May 2012<br>No change</td>
</tr>
<tr>
<td colspan="5">Cooper-Marbiah, Caroline Ms. LAB 1,685<br>No change</td>
</tr>
<tr>
<td>Taylor, Linda Ms.</td>
<td>CON</td>
<td>1,837</td>
<td>Lord, Peter</td>
<td>CON<br>441</td>
</tr>
<tr>
<td>Deegan, Louise Ms.</td>
<td>LAB</td>
<td>931</td>
<td>Janjua, Shafqat</td>
<td>UKIP<br>157</td>
</tr>
<tr>
<td>Busby, Dave</td>
<td>LD</td>
<td>838</td>
<td>Ling, Phil</td>
<td>LD<br>52</td>
</tr>
<tr>
<td>Crowhurst, Richmond</td>
<td>GRE</td>
<td>253</td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="5">Resignation of Ahmad, Tariq M. (CON)</td>
</tr>
<tr>
<td colspan="5">Death of Gurung, Gam (LAB)</td>
</tr>
</tbody>
</table>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>137</page_number>
**Newham**
Labour administration
Labour directly elected mayor
<table>
<thead>
<tr>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
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<tr>
<td>1</td>
<td>Beckton</td>
<td>11</td>
<td>Green Street East</td>
<td>11</td>
<td>Green Street West</td>
<td>11</td>
<td>Little Ilford</td>
<td>11</td>
<td>Manor Park</td>
<td>14</td>
<td>Plaistow North</td>
<td>16</td>
<td>Plaistow South</td>
<td>17</td>
<td>Horn Woods</td>
<td>18</td>
<td>Stratford and New</td>
<td>20</td>
<td>West Ham</td>
</tr>
<tr>
<td>2</td>
<td>Boleyne</td>
<td>12</td>
<td>Green Street East</td>
<td>12</td>
<td>Green Street West</td>
<td>12</td>
<td>Little Ilford</td>
<td>12</td>
<td>Manor Park</td>
<td>14</td>
<td>Plaistow North</td>
<td>16</td>
<td>Plaistow South</td>
<td>17</td>
<td>Horn Woods</td>
<td>18</td>
<td>Stratford and New</td>
<td>20</td>
<td>West Ham</td>
</tr>
<tr>
<td>3</td>
<td>Canning Town North</td>
<td>13</td>
<td>Little Ilford</td>
<td>13</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><<table cellspacing="0" cellpadding="0" border="0"><tbody id="table_data_5"><tr id="row_0"><span class="annotation">State of the parties, 1964-2014</span></tr></tbody></table> </table> <table cellspacing="0" cellpadding="0" border="0"><tbody id="table_data_6"><tr id="row_0"><span class="annotation">% share of the poll, 1964-2014 CON LAB LD other total 22.5.14 - 60 - - 60 60 22.5.14 40.5 22.2 60.6 3.6 13.6 6.5.10 - 60 - - 60 6.5.10 52.7 17.6 62.8 4.2 15.4 4.5.06 - 54 - 6 60 4.5.06 34.6 13.6 41.9 2.9 41.7 2.5.02 - 59 - 1 60 2.5.02 27.0 20.2 48.8 3.7 57.6 7.5.38 - 60 - - 60 7.5.38 38.4 9.74 96.0 8.1 18.8 5.5.94 - 59 - - 60 5.5.94 37.6 20.1 56.6 11.5 11.9
138 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Newham
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>R</td>
<td>CPA</td>
</tr>
</thead>
<tbody>
<tr>
<td>Beckton</td>
<td>22.5.14</td>
<td>31.8</td>
<td>28.7</td>
<td>63.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>7.6</strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>45.1</td>
<td>23.6</td>
<td>51.8</td>
<td>17.6</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>7.0</strong></td>
</tr>
<tr>
<td>Boleyn</td>
<td>22.5.14</td>
<td>44.0</td>
<td><strong>20.6</strong></td>
<td><strong>64.0</strong></td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>15.3</strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>56.0</td>
<td>23.7</td>
<td>67.4</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>8.9</strong></td>
</tr>
<tr>
<td>Canning Town North</td>
<td>22.5.14</td>
<td>35.9</td>
<td><strong>15.9</strong></td>
<td><strong>58.2</strong></td>
<td>--</td>
<td>--</td>
<td><strong>19.1</strong></td>
<td>--</td>
<td><strong>13.1</strong></td>
<td>--</td>
<td><strong>13.7</strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>50.4</td>
<td>16.2</td>
<td>57.0</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>6.8</strong></td>
</tr>
<tr>
<td>Canning Town South</td>
<td>22.5.14</td>
<td><strong>33.0</strong></td>
<td><strong>16.7</strong></td>
<td><strong>53.2</strong></td>
<td>--</td>
<td>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/>--<br/></td><td><strong>20.7<br/><br/></strong></td><td><strong>-<br/><br/></strong></th><th colspan="3"><strong>9.5<br/><br/></strong></th><th colspan="3"><strong>27.4<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><strong>-<br/><br/></strong></th><th colspan="3"><<strong>- <span style='color:red;'>15.8<br/><span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>- <span style='color:red;'>-</span/></div>
<tr class="header_bottom_margin">
<td rowspan="2">East Ham Central<br/>East Ham North<br/>East Ham South<br/>Forest Gate North<br/>Forest Gate South<br/>Green Street East<br/>Green Street West<br/>Little Ilford<br/>Manor Park<br/>Plaistow North<br/>Plaistow South<br/>Royal Docks<br/>Stratford and New Town<br/>Wall End<br/>West Ham<br/></table>
<table border="1">
<thead border="1">
<tr border="1">
<th>Date (%) poll CON LAB LD GRE BNP UKIP IND R CPA
</thead>
</table>
<table border="1">
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>139</page_number>
**Results**
<table>
<thead>
<tr>
<td>Beckton</td>
<td>Turnout 31.8%</td>
<td>Canning Town South</td>
<td>Turnout 33.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Christie, David*</td>
<td>LAB</td>
<td>1,789</td>
<td>Collier, Bryan*</td>
<td>LAB</td>
<td>1,896</td>
</tr>
<tr>
<td>Chowdhury, Ayesha Ms.*</td>
<td>LAB</td>
<td>1,778</td>
<td>Griffiths, Alan</td>
<td>LAB</td>
<td>1,600</td>
</tr>
<tr>
<td>Kellaway, Alec J.*</td>
<td>LAB</td>
<td>1,713</td>
<td>Thomas, Sheila M. Ms.</td>
<td>LAB</td>
<td>1,581</td>
</tr>
<tr>
<td>Ahmed, Syed</td>
<td>CON</td>
<td>1,033</td>
<td>Mckenzie, Kay Ms.</td>
<td>UKIP</td>
<td>657</td>
</tr>
<tr>
<td>Nowacki, Adam</td>
<td>CON</td>
<td>731</td>
<td>Abdullah, Abul</td>
<td>CON</td>
<td>632</td>
</tr>
<tr>
<td>Obasi, Emmanuel</td>
<td>CON</td>
<td>615</td>
<td>Knight, Gareth</td>
<td>CON</td>
<td>537</td>
</tr>
<tr>
<td>Newman, Winky</td>
<td>CPA</td>
<td>242</td>
<td>Nabudde, Jaja R. Ms.</td>
<td>CON</td>
<td>420</td>
</tr>
<tr>
<td>Dunkwu, Chike</td>
<td>CPA</td>
<td>204</td>
<td>Johnson, Faith Ms.</td>
<td>CPA</td>
<td>387</td>
</tr>
<tr>
<td>Taiwo, Yomi</td>
<td>CPA</td>
<td>180</td>
<td>Stafford, Benjamin</td>
<td>CPA</td>
<td>279</td>
</tr>
<table border="1">
<thead><tr><th rowspan="2">Boleyn No change Custom House Turnout 44.0% Turnout 32.2%</th></tr><tr><th rowspan="2">No change No change LAB LAB LAB LAB 1,745 1,403 1,400 1,400 No change Holland, Patricia M. Ms.* Fiaz, Rohkhsana Mcauley, Conor M.* UKIP CON CON CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA CON CPA Conson, Lynda Ms. Uddin, Naz Mayo, Owen Shedowo, Kayode CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUP CUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS PUS P US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US US OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S O S
<table border="1">
<thead><tr><th rowspan="2">Canning Town North No change East Ham Central Turnout 35.9% Turnout 42.5%</th></tr><tr><th rowspan="2">No change Corbett, Ian K.* Desai, Unmesh* Marriott, Julianne Ms.</th></tr><tr><th rowspan="2">LAB LAB LAB LAB 2,591 2,568 2,525 No change Mears, David Ali, Wahid Boateng, Margaret Ms. Marah, Maxwell L. Fabodee, Moriam Ms. Karashani, Ruth Ms. Mrewa, Charles CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A CP A
<table border="1">
<thead><tr><th rowspan="2">Easter Ann R. Ms. Furness, Clive W.* Scoresby Kay D. Ms.</th></tr><tr><th rowspan="2">LAB LAB LAB LAB 2,036 1,934 1,835 No change Corbett, Ian K.* Desai, Unmesh* Marriott, Julianne Ms.</th></tr><tr><th rowspan="2">LAB LAB LAB LAB 2,591 2,568 2,525 No change Mears, David Ali, Wahid Boateng, Margaret Ms. Marah, Maxwell L. Fabodee, Moriam Ms. Karashani, Ruth Ms. Mrewa, Charles
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
CPA
<table border="1">
<thead><tr><th rowspan="2">East Ham Central No change Corbett, Ian K.* Desai, Unmesh* Marriott, Julianne Ms.</th></tr><tr><th rowspan="2">LAB LAB LAB LAB 2,591 2,568 2,525 No change Mears Ann R. Ms. Furness Clive W.* Scoresby Kay D. Ms.
LAB LAB LAB LAB 2,036 1,934 1,835 No change Corbett Ian K.* Desai Unmesh* Marriott Julianne Ms.
LAB LAB LAB LAB 2,591 2,568 2,525 No change Mears Ann R. Ms. Furness Clive W.* Scoresby Kay D. Ms.
LAB LAB LAB LAB 2,036 1,934 1,835 No change Corbett Ian K.* Desai Unmesh* Marriott Julianne Ms.
LAB LAB LAB LAB 2,591 2,568 2,525 No change Mears Ann R. Ms. Furness Clive W.* Scoresby Kay D. Ms.
LAB LAB LAB LAB 2,
<page_number>Newham
<page_number>140</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Newham
<table>
<thead>
<tr>
<td>East Ham North</td>
<td>Turnout 52.0%</td>
<td>Forest Gate South</td>
<td>Turnout 39.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Nekiwala, Firoza A. *</td>
<td>LAB</td>
<td>2,809</td>
<td>Patel, Masihullah</td>
<td>LAB</td>
<td>2,209</td>
</tr>
<tr>
<td>Gulamussen, Zuber</td>
<td>LAB</td>
<td>2,741</td>
<td>Walls, Dianne Ms.</td>
<td>LAB</td>
<td>2,095</td>
</tr>
<tr>
<td>Sathianesan, Paul D. *</td>
<td>LAB</td>
<td>2,684</td>
<td>Vaughan, Winston*</td>
<td>LAB</td>
<td>2,023</td>
</tr>
<tr>
<td>Sharif, Ilyas</td>
<td>CON</td>
<td>1,547</td>
<td>Ahmed, Mahboob R.</td>
<td>CON</td>
<td>993</td>
</tr>
<tr>
<td>Kannan, Durai</td>
<td>CON</td>
<td>1,335</td>
<td>Choudhary, Asif</td>
<td>CON</td>
<td>976</td>
</tr>
<tr>
<td>Gopinath, Biju</td>
<td>CON</td>
<td>1,282</td>
<td>Roll-Pickering, Tim</td>
<td>CON</td>
<td>693</td>
</tr>
<tr>
<td>Latif, Sunny M. Ms.</td>
<td>LD</td>
<td>496</td>
<td>Heron, William J. F.</td>
<td>LD</td>
<td>293</td>
</tr>
<tr>
<td>Thennavan, Keerthikan</td>
<td>TUSC</td>
<td>131</td>
<td>Mulholland, Niall</td>
<td>TUSC</td>
<td>238</td>
</tr>
<tr>
<td>Finlayson, Rod</td>
<td>COMB</td>
<td>120</td>
<td>Parson, Dietane J. Ms.</td>
<td>CPA</td>
<td>179</td>
</tr>
<tr>
<td>Opremiyan, Akorede</td>
<td>CPA</td>
<td>92</td>
<td>Williamson, Malcolm</td>
<td>CPA</td>
<td>159</td>
</tr>
<tr>
<td>Sadiq, Margaret O. Ms.</td>
<td>CPA</td>
<td>85</td>
<td>Vrancianu, Ionel</td>
<td>IND</td>
<td>101</td>
</tr>
<table border="1">
<thead><tr><th colspan="2">Green Street East Turnout 48.8%</th></tr></thead><tbody><tr><th>No change Rahman, Rohima Ms. *</th><th style="text-align: right;">LAB 2,723<br>Patel, Mukesh 2,635<br>Alexander, Jose 2,598<br></th></tr><tr><th style="text-align: left;">Shah, Lakmin S. *</th><th style="text-align: right;">LAB 1,348<br>CIN 1,313<br>CIN 1,187<br>UKIP 290<br>TUSC 217<br>CPIA 126<br>CPIA 93<br></th></tr></tbody></table>
<table border="1">
<thead><tr><th colspan="2">East Ham South Turnout 42.5%</th></tr></thead><tbody><tr><th>No change Rahman, Rohima Ms. *</th><th style="text-align: right;">LAB 2,723<br>Patel, Mukesh 2,635<br>Alexander, Jose 2,598<br></th></tr><tr><th style="text-align: left;">Masters, Susan R. Ms.</th><th style="text-align: right;">LAB 2,372<br>Pepatti, Quinn B. * 2,272<br>LAB 2,100<br></th></tr><tr><th style="text-align: left;">Shah, Lakmin S. *</th><th style="text-align: right;">LAB 1,348<br>CIN 1,313<br>CIN 1,187<br>UKIP 290<br>TUSC 217<br>CPIA 126<br>CPIA 93<br></th></tr><tr><th style="text-align: left;">Hussaini, Kamal H.</th><th style="text-align: right;">CON 917<br>Khatun, Nasima 823<br>Weeby Charles 701<br>Hedley Steve 307<br>Latin Alex O. CPA 232<br>Ade-Blaise Tony A. CPA 211<br>Olaiaiye Alice Ms. CPA 209<br></th></tr>
<table border="1">
<thead><tr><th colspan="2">Green Street West Turnout 49.1%</th></tr></thead><tbody><tr><th>No change Abdulmuhit, Hanif Ibrahim, Idris Rahman Tahmina*</th><th style="text-align: right;">LAB 2,914<br>LAB 2,756<br>LAB 2,744<br></th></tr><tr><th style="text-align: left;">Robinson Ellie Ms. *</th><th style="text-align: right;">LAB 2,324<br>Akiwowo Seyi 2,126<br>Tripp Rachel Ms. LAB 2,120<br>COPERNICUS GRE 562<br>Lithgow Jane A. Ms. GRE 559<br>Khan Shaeb CON 548<br>Lennon Dawn Ms. CON 490<br>Maze Brian CON 480<br>Severn Bob TUSC 222<br>Moon Christian LD 206<br>Donaldson Lynn D. Ms. CPA 174<br>Doyles Christina Ms. CPA 146<br></th></tr><tr><th style="text-align: left;">Abdulmuhit Hanif Ibrahim Idris Rahman Tahmina*</th><th style="text-align: right;">LAB 1,266<br>CIN CON CON CON TUSC 1,136<br>CPIA CPA CPA CPA IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND IND Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi Indi IndiIndo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indo Indoindo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoindoin do indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo indo 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d e d e d e d e d e d e d e d e d e d e dd ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ed ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see seeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseseses sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees 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VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX 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<img>Newham map with electoral wards labeled and highlighted areas for East Ham North and South.</img>
<table border="1">
<thead><tr><th colspan="3">East Ham North No change Nekiwala Firoza A.* Gulamussen Zuber Sathianesan Paul D.* Sharif Ilyas Kannan Durai Gopinath Biju Latif Sunny M.Ms. Thennavan Keerthikan Finlayson Rod Opemiyan Akorede Sadiq Margaret O.Ms. Sadiq Moriam CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPA CPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPACPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCPSCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCP SCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCPCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CCP CPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPPCPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP CPP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP PPPPPP
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North and South No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.* Peppati Quinn B.* Shah Lakmin S.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle Christina Ms.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson Ellie Ms.* Akiwowoo Seyy Tripp Rachel Ms.* Cooper Alan C Lithgow Jane A.Ms.* Khan Shaeb Lennon Dawn Ms.* Maze Brian Severn Bob Moon Christian Donaldson Lynn D.Ms.* Doyle ChristinaMs.
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson EllieMs.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson EllieMs.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.Ms.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.M.s.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson EllieMs.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson EllieMs.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.s.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate South No change Masters Susan R.s.*
<img>Newham map with electoral wards labeled and highlighted areas for Forest Gate North No change Robinson EllieMs.*
<img>Newham map with electoral wards labeled
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>141</page_number>
Newham
<table>
<thead>
<tr>
<td>Little Ilford<br>No change</td>
<td>Turnout 45.5%</td>
<td>Royal Docks<br>No change</td>
<td>Turnout 33.6%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nazeer, Farah Ms.*<br>Clark, Ken<br>Baikie, Andrew*</td>
<td>LAB<br>2,997<br>2,954<br>2,889</td>
<td>Brayshaw, Stephen*<br>Murphy, Patrick*<br>Mcalmont, Anthony*</td>
<td>LAB<br>1,331<br>1,207<br>1,201</td>
</tr>
<tr>
<td>Rahman, Attic<br>Khan, Ajab<br>Urrahman, Fazal<br>Watson, Trevor A.</td>
<td>CON<br>867<br>833<br>783<br>237</td>
<td>Buckwell, Chris<br>Mbe, Alain<br>Nahk, Sam<br>Oxley, Daniel C.</td>
<td>CON<br>515<br>459<br>445<br>344</td>
</tr>
<tr>
<td>Anthony, Oluwayemisi<br>Taiwo, Bunmi Ms.<br>Namwanje, Prossy Ms.</td>
<td>CPA<br>186<br>148<br>105</td>
<td>Isingoma, Rita C. Ms.<br>Olawale, Francis<br>Perry, Bill</td>
<td>CPA<br>112<br>97<br>95</td>
</tr>
<tr>
<td><strong>Manor Park</strong><br><strong>No change</strong></td>
<td><strong>Turnout 41.9%</strong></td>
<td><strong>Stratford and New Town</strong><br><strong>No change</strong></td>
<td><strong>Turnout 33.6%</strong></td>
</tr>
<tr>
<td><strong>Patel, Salim*</strong></td>
<td><strong>LAB</strong><br><strong>2,744</strong></td>
<td><strong>Mclean, Charlene Ms.*</strong></td>
<td><strong>LAB</strong><br><strong>2,582</strong></td>
</tr>
<tr>
<td><strong>Corbett, Jo Ms.</strong></td>
<td><strong>LAB</strong><br><strong>2,589</strong></td>
<td><strong>Crawford, Richard J.*</strong></td>
<td><strong>LAB</strong><br><strong>2,517</strong></td>
</tr>
<tr>
<td><strong>Singh, Amarjit*</strong></td>
<td><strong>LAB</strong><br><strong>2,414</strong></td>
<td><strong>Paul, Terry*</strong></td>
<td><strong>LAB</strong><br><strong>2,449</strong></td>
</tr>
<tr>
<td>Khatun, Rahima</td>
<td>CON<br>976</td>
<td>Gass, Matt</td>
<td>CON<br>777</td>
</tr>
<tr>
<td>Rafiz, Abdul</td>
<td>CON<br>904</td>
<td>Hassan, Bilal</td>
<td>CON<br>744</td>
</tr>
<tr>
<td>Boss, Sreedharan</td>
<td>CON<br>747</td>
<td>Chipungu, Augustine Ms.</td>
<td>CON<br>646</td>
</tr>
<tr>
<td>Simmonds, John E.</td>
<td>CPA<br>216</td>
<td>Afani, Julie Ms.</td>
<td>CPA<br>199</td>
</tr>
<tr>
<td>Owusu-Addai, Cynthia Ms.</td>
<td>CPA<br>198</td>
<td>Asiwaju-Dada, Florence Ms.</td>
<td>CPA<br>174</td>
</tr>
<tr>
<td><strong>Plaistow North</strong><br><strong>No change</strong></td>
<td><strong>Turnout 41.1%</strong></td>
<td><strong>Falana, John O.</strong></td>
<td><strong>CPA</strong><br><strong>157</strong></td>
</tr>
<table border="1">
<thead>
<tr style="background-color: #e6e6e6;">
<th colspan="3">Wall End <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change <br>No change > Turnout 49.1%</th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Turnout 38.8%</th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="3"><table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="3">Nochange </th></tr>
<tr style="background-color: #e6e6e
<page_number>142</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Newham
<table>
<thead>
<tr>
<td>West Ham</td>
<td colspan="3">Turnout 36.5%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Bourne, Freda A. Ms.*</td>
<td>LAB</td>
<td>2,046</td>
<td></td>
</tr>
<tr>
<td>Whitworth, John*</td>
<td>LAB</td>
<td>1,939</td>
<td></td>
</tr>
<tr>
<td>Gray, John*</td>
<td>LAB</td>
<td>1,913</td>
<td></td>
</tr>
<tr>
<td>Firdous, Fairhana</td>
<td>CON</td>
<td>617</td>
<td></td>
</tr>
<tr>
<td>Antwi, Mary Ms.</td>
<td>CON</td>
<td>525</td>
<td></td>
</tr>
<tr>
<td>Gasparic, Matej</td>
<td>CON</td>
<td>456</td>
<td></td>
</tr>
<tr>
<td>Armstrong, Michael E.</td>
<td>UKIP</td>
<td>381</td>
<td></td>
</tr>
<tr>
<td>Garen, Edgar A.</td>
<td>LD</td>
<td>259</td>
<td></td>
</tr>
<tr>
<td>Brown, Sheila I. Ms.</td>
<td>CPA</td>
<td>231</td>
<td></td>
</tr>
<tr>
<td>Laing, Myrtle V.</td>
<td>CPA</td>
<td>151</td>
<td></td>
</tr>
<tr>
<td>Mettle, Joe</td>
<td>CPA</td>
<td>136</td>
<td></td>
</tr>
</tbody>
</table>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>143</page_number>
**Redbridge**
Labour administration
<img>A map of Redbridge showing the results of the 2014 local election. The map is divided into 17 electoral wards, each represented by a different colour. The colours are as follows:
- Conservative: Light blue
- Labour: Red
- Conservative/Liberal Democrat: Green
- Conservative/Labour: Purple
The overall results are as follows:
- Conservative: 63 (22.5%)
- Labour: 63 (22.5%)
- Conservative/Liberal Democrat: 63 (22.5%)
- Conservative/Labour: 63 (22.5%)
The overall result is a tie between Labour, Conservative/Liberal Democrat and Conservative/Labour, with each party receiving 63 seats (22.5%). The overall share of the poll is 22.5%, with Labour, Conservative/Liberal Democrat and Conservative/Labour all receiving 22.5% of the vote.
The state of the parties, 1964-2014:
| State of the parties | CON | LAB | LD | other | total | % share of the poll, 1964-2014 | % poll |
|---|---|---|---|---|---|---|---|
| 22.5.14 | 25 | 35 | 3 | - | 63 | 22.5.14 | 39.7 | 30.5 | 41.9 | 10.8 | 16.9 |
| 6.5.10 | 30 | 26 | 7 | - | 63 | 6.5.10 | 62.4 | 35.6 | 36.0 | 21.9 | 6.5 |
| 4.5.06 | 34 | 19 | 9 | 1 | 63 | 4.5.06 | 38.4 | 39.5 | 29.3 | 19.2 | 12.1 |
| 2.5.02 | 33 | 21 | 9 | - | 63 | 2.5.02 | 34.3 | 42.1 | 33.9 | 18.9 | 5.1 |
| 7.5.38 | 33 | 30 | 9 | - | 63 | 7.5.38 | 35.7 | 38.8 | 30.3 | 19.5 | 1.4 |
| 5.5.94 | 24 | 29 | 9 | - | 63 | 5.5.94 | 49.3 | 38.2 | 30.2 | 17.1 | - |
| 3.5.90 | 42 | 18 | 3 | - | 63 | 3.5.90 | 48.5 | 44.0 | 34.5 | 11.1 | 10.3 |
| 8.5.86 | 45 | 17 | -1 |-| -| -| -| -| -| -| -|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| -| -| -| -|-|-|-|-|-|-|-|-|
| General statistics |
Redbridge
Electorate
May 2014
May 2010
Resident population aged over and under
Mid May
Mid June
Estimated % unemployed
Mid May
Mid June
Band 'D' council tax
May
May
Redbridge London
Electorate
May
May
Resident population aged over and under
Mid May
Mid June
Estimated % unemployed
Mid May
Mid June
Band 'D' council tax
May
May
<page_number>144</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Redbridge
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Aldborough</td>
<td>22.5.14<br>10.11.11<br>6.5.10</td>
<td>44.9<br>24.7<br>63.8</td>
<td>33.1<br>38.6<br>43.7</td>
<td>42.7<br>51.7<br>42.0</td>
<td>3.9<br>3.1<br>14.2</td>
<td>--<br>--<br>--</td>
<td>2.3<br>12<br>18</td>
<td>3.0<br>--<br>--</td>
<td>--<br>--<br>--</td>
<td>--<br>--<br>--</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td>
<td>-<br>-<br>-</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>--<br>--<br>--</td><td>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.3<br>-20.</td></tr>
<tr>
<td>Barkingside</td>
<td>22.5.14<br>6.5.10</td>
<td>41.9<br>65.9</td>
<td>48.5<br>45.9</td>
<td>42.6<br>554</td>
<td>--<br>124</td>
<td>8.<span style="color:red;">9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9--9.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.--.-.</span></tr>
<tr>
<td>Bridge</td>
<td>22.<span style="color:red;">5.</span>.14 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<span style="color:red;">5.</span>.10 6.<<span style="color:green;"></style></tr>
<tr>
<td>Chadwell</td>
<td>22.<sup>.</sup>5.<sup>.</sup>14 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>10 8.<sup>.</sup>7.<sup>.</sup>1...</tr>
<tr>
<td>Clerkenwell End (Church End)</td>
<td></tr></tr></table>
<table>
<tr>
<th>% share of the poll </th>
<th>Date </th>
<th>%poll </th>
<th></th>
<th></th>
<th></th>
<th></th>
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<th></th>
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<th></th><table cellspacing='none' cellpadding='none'>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>145</page_number>
**Results**
<table>
<thead>
<tr>
<td>Aldborough<br>2 LAB gains from CON</td>
<td>Turnout 44.9%</td>
<td>Chadwell<br>No change</td>
<td>Turnout 38.7%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Kaur-Thiara, Debbie Ms.</td>
<td>LAB<br>2,434</td>
<td>Choudhury, Aziz<br>Sachs, Anne Ms.</td>
<td>LAB<br>2,352</td>
</tr>
<tr>
<td>Howard, John<br>Streeting, Wes</td>
<td>LAB<br>2,364<br>2,100</td>
<td>Zammett, Neil</td>
<td>LAB<br>1,707</td>
</tr>
<tr>
<td>Cole, Vanessa Ms. *<br>Clark, Ruth Ms. *</td>
<td>CON<br>1,919<br>1,903</td>
<td>Uddin, Mohammed<br>Parmar, Bharat</td>
<td>CON<br>1,106<br>917</td>
</tr>
<tr>
<td>Thaneswaran, Thane</td>
<td>CON<br>1,526</td>
<td>Olaifa, Kunile</td>
<td>CON<br>878</td>
</tr>
<tr>
<td>Walker, Andy<br>Mathias, Richard</td>
<td>SKGH<br>1,092<br>211</td>
<td>Tyne, John<br>Witten, Paul<br>Dattani, Naren</td>
<td>GRE<br>605<br>IFE<br>474<br>LD<br>237</td>
</tr>
<tr>
<td>Barkingside<br>No change</td>
<td>Turnout 41.9%</td>
<td>Teahan, Kathleen Ms.</td>
<td>LD<br>213</td>
</tr>
<tr>
<td>Kissin, Ashley*<br>Packer, Karen Ms.<br>Prince, Keith*</td>
<td>CON<br>2,007<br>1,995</td>
<td>Church End<br>2 CON gains from LD</td>
<td>Turnout 40.4%</td>
</tr>
<tr>
<td>Sachs, Martin<br>Sharma, Vinaya<br>Khan, Ayub<br>Whitehall, Robert</td>
<td>LAB<br>1,795<br>LAB<br>1,719</td>
<td>Clever, Hugh*<br>Best, Emma Ms.<br>Mclaren, Tom<br>Herga, Joel</td>
<td>LD<br>1,361<br>CON<br>1,223</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr><tr><th colspan="4">Bridge<br>No change</th></tr><tr><th colspan="4">Turnout 34.8%</th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4">Brewer, Beverley Ms.</th></tr><tr><th colspan="4">Daintry, Paul</th></tr><tr><th colspan="4">LAB<br>825<br>LAB<br>746</th></tr><tr><th colspan="4">Turnout 44.9%</th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4">Clayhall<br>No change</th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4">Cole, Robert*</th></tr><tr><th colspan="4">Weinberg, Alan*</th></tr><tr><th colspan="4">Bhamra, Gurdial*</th></tr><tr><th colspan="4">Pathmanathan, Nathan</th></tr><tr><th colspan="4">BHATTACHARJEE, Sanjib</th></tr><tr><th colspan="4">Ali, Shamsia Ms.</th></tr><tr><th colspan="4">Singh, Harinder</th></tr><tr><th colspan="4">Nada, Donna Ms.</th></tr><tr><th colspan="4">Holder, Ashburn</th></tr></tbody>
</table>
Redbridge
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<td rowspan="2" style="text-align: center;">Aldborough<br>No change</br></br>Kaur-Thiara, Debbie Ms.</br></br>Kissin, Ashley*</br></br>Packer, Karen Ms.</br></br>Vandelay-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></br>Barker-Whitehall,</br></tab
<page_number>146</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Redbridge**
<table>
<thead>
<tr>
<td></td>
<td>Clementswood</td>
<td>Turnout 35.1%</td>
<td>Goodmayes</td>
<td>Turnout 38.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Coomb, Helen Ms.*</td>
<td>LAB</td>
<td>2,340</td>
<td>Jones, Bert*</td>
<td>LAB</td>
<td>2,347</td>
</tr>
<tr>
<td>Hussain, Zulfikar*</td>
<td>LAB</td>
<td>2,233</td>
<td>Rai, Kam</td>
<td>LAB</td>
<td>2,272</td>
</tr>
<tr>
<td>Javed, Muhammad*</td>
<td>LAB</td>
<td>2,232</td>
<td>White, Barbara Ms. *</td>
<td>LAB</td>
<td>2,201</td>
</tr>
<tr>
<td>Butt, Zahid</td>
<td>LD</td>
<td>738</td>
<td>Asif, Mohammed</td>
<td>CON</td>
<td>1,145</td>
</tr>
<tr>
<td>Patel, Sanjeev</td>
<td>LD</td>
<td>712</td>
<td>Solanki, Pradip</td>
<td>CON</td>
<td>855</td>
</tr>
<tr>
<td>Akram, Ajaz</td>
<td>LD</td>
<td>541</td>
<td>Bhadresa, Avind</td>
<td>CON</td>
<td>798</td>
</tr>
<tr>
<td>Ahmed, Jahangir</td>
<td>CON</td>
<td>438</td>
<td>Bin Aziz, Tariq</td>
<td>LD</td>
<td>553</td>
</tr>
<tr>
<td>Chowdhry, Wilson</td>
<td>GRE</td>
<td>409</td>
<td>Page, Kevin</td>
<td>GRE</td>
<td>368</td>
</tr>
<tr>
<td>Rehman, Habib Ms.</td>
<td>CON</td>
<td>362</td>
<td></td><td></td><td></td></tr>
<tr>
<td>Sheikh, Javed<br>Cranbrook<br>1 LAB gain from CON<br>Ahmed, Mushtaq*</br></br>Caudhary, Mahboob*</br>Bola, Varinder<br>wilkes, Latina Ms.</br></br>Kumar, Ashok*</br>Firmstone, Richard<br>Hughes, Alan<br>Hamlyn, Susan Ms.</br></br>Fairlop<br>No change<br>Lambert, Brian*</br><br>Ryan, Joyce Ms. *</br><br>Sharpe, Tom<br>Raza, Muhammad<br>Nijjar, Davinder<br>Younis, Ali<br>Date-Smith, Gary<br>Seymour Jonathan<br>Pepe, James<br>Hunt, Claire Ms.</br></br>Fulwell<br>No change<br>Bromiley, David<br>Hayes, Nick*</br><br>Haran, Jeevah<br>Stone, Chris<br>Panesar, Baljit<br>Ofee; Tal<br>Kellman, Jim<br>Moth; Harold*</br><br>Black; Dominic*</br></table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th></th><th style="text-align: center;">Turnout 40.2%</th><th style="text-align: center;">Hainault 3 LAB gain from CON<br>Emmets Roy<br>Santos Mark<br>Hehir Joe<br>Poole David*</th><th style="text-align: center;">LAB 1,227<br>LAB 1,143<br>LAB 1,035<br>UKIP 900<br>CON 895<br>UKIP 894<br>BDP 284<br>LD 156<br>Laxford Turnout 38.8%</th><th style="text-align: center;">No change<br>Ahmed Mohammad<br>Rashid Taifur<br>Maravala Filly Ms. *</th><th style="text-align: center;">LAB 2,472<br>LAB 2,453<br>LAB 2,278<br>IND 1,670<br>IND 1,382<br>IND 1,318<br>CON 328<br>CON 327<br>CON 319<br>Laxford Turnout 38.8%</th><th style="text-align: center;">No change<br>Ahmad Shakil<br>Tewari Virendra Ms.</th><th style="text-align: center;">LAB 2,731<br>LAB 2,620<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Athwal Jas*</br><br>Flint Kay Ms. *</br><br>Parkash Ayodhya*</th><th style="text-align: center;">LAB 2,597<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Dhaudhary Kaiser<br>Fynn Pauline Ms.<br>Patel Nisha Ms.<br>Balcomb Mark<br>Speakman Michael </th><th style="text-align: center;">LAB 2,731<br>LAB 2,620<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Dhaudhary Kaiser<br>Fynn Pauline Ms.<br>Patel Nisha Ms.<br>Balcomb Mark<br>Speakman Michael </th><th style="text-align: center;">LAB 2,597<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Dhaudhary Kaiser<br>Fynn Pauline Ms.<br>Patel Nisha Ms.<br>Balcomb Mark<br>Speakman Michael </th><th style="text-align: center;">LAB 2,731<br>LAB 2,620<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Dhaudhary Kaiser<br>Fynn Pauline Ms.<br>Patel Nisha Ms.<br>Balcomb Mark<br>Speakman Michael </th><th style="text-align: center;">LAB 2,597<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Dhaudhary Kaiser<br>Fynn Pauline Ms.<br>Patel Nisha Ms.<br>Balcomb Mark<br>Speakman Michael </th><th style="text-align: center;">LAB 2,731<br>LAB 2,620<br>LAXFORD Turnout 39.5%</th><th style="text-align: center;">No change<br>Dhaudhary Kaiser<br>Fynn Pauline Ms.<br>Patel Nisha Ms.<br>Balcomb Mark<br>Speakman Michael </th><th style="text-align: center;">LAB 2,597
<img>Description of the table structure and content.</img></table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th></th><th style="text-align: center;">Turnout 38.6%</th><th style="text-align: center;">Mayfield No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.Nochange.</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th></th><th style="text-align: center;">Turnout 38.6%</th><th style="text-align: center;">Mayfield Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout 38.6% Turnout
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>147</page_number>
<table>
<thead>
<tr>
<td>Monkhams<br>No change</td>
<td>Turnout 40.1%</td>
<td>Snaresbrook<br>No change</td>
<td>Turnout 40.2%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Huggett, Linda Ms. *</td>
<td>CON<br>2,188</td>
<td>Nolan, Suzanne Ms. *</td>
<td>CON<br>1,724</td>
</tr>
<tr>
<td>O'Shea, Jim*</td>
<td>CON<br>2,011</td>
<td>Cronin, Colin</td>
<td>CON<br>1,686</td>
</tr>
<tr>
<td>Stark, Michael*</td>
<td>CON<br>2,003</td>
<td>Cummins, Chris*</td>
<td>CON<br>1,643</td>
</tr>
<tr>
<td>Crook, Anne Ms.</td>
<td>LD<br>692</td>
<td>Eglin, Sophia Ms.</td>
<td>LAB<br>1,497</td>
</tr>
<tr>
<td>Pearce, Elizabeth Ms.</td>
<td>LAB<br>513</td>
<td>Eglin, Gregor</td>
<td>LAB<br>1,468</td>
</tr>
<tr>
<td>Cracknell, David</td>
<td>LD<br>509</td>
<td>Hokam-Dahd, Imraan</td>
<td>LAB<br>1,161</td>
</tr>
<tr>
<td>Pearce, David</td>
<td>LAB<br>481</td>
<td>Fink, Deborah Ms.</td>
<td>GRE<br>590</td>
</tr>
<tr>
<td>Warwick, Steven</td>
<td>LD<br>471</td>
<td>Swallow, Malcolm</td>
<td>LD<br>284</td>
</tr>
<tr>
<td>White, Francis</td>
<td>LAB<br>439</td>
<td>Bruck, David</td>
<td>LD<br>280</td>
</tr>
<tr>
<td>Reynolds, Theresa Ms.</td>
<td>GRE<br>372</td>
<td>Chetinkaya, Levent</td>
<td>LD<br>209</td>
</tr>
<table border="1">
<thead>
<tr><th>Newbury<br>No change</th><th></th><th></th><th></th></tr>
<tr><th></th><th></th><th></th><th></th></tr>
<tr><th>Valetines<br>No change from LD</th><th></th><th></th><th></th></tr>
<tr><th>Jeyaranjan, Thavathuray*</th><th>LAB<br>2,821</th><th>Hatfull, Ross*</th><th>LAB<br>1,822</th></tr>
<tr><th>Sharma, Dev*</th><th>LAB<br>2,766</th><th>Chowdhury, Khayer</th><th>LAB<br>1,820</th></tr>
<tr><th>Norman, Elaine Ms. *</th><th>LAB<br>2,616</th><th>Hussain, Farah Ms.</th><th>LAB<br>1,760</th></tr>
<tr><th>Hussain, Afsor</th><th>CON<br>1,673</th><th>Patel, Shoaiib*</th><th>LD<br>1,477</th></tr>
<tr><th>Turairajah, Vijay</th><th>CON<br>1,393</th><th>Islam, Farrukh</th><th>LD<br>1,207</th></tr>
<tr><th>Quddos, Zeb</th><th>CON<br>1,186</th><th>Wicks, Paul</th><th>LD<br>1,107</th></tr>
<tr><th>Mann, Susan Ms.</th><td>LD<br>434</td><td>Sharma, Atul</td><td>CON<br>603</td></tr>
<table border="1">
<thead>
<tr><th>Roding<br>1 CON gain from LD</th><th></th><th></th><th></th></tr>
<tr><th></th><th></th><th></th><th></th></tr>
<tr><th>Rodtun 40.6%</strong></table>
<table border="1">
<thead>
<tr><th>Bond, Ian*</strong></table>
<table border="1">
<thead>
<tr><td colspan="3">Deakins, Gwyneth Ms. *</strong></table>
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<th style='text-align: right;'>Seven Kings<br>No change </strong></table
<th style='text-align: right;'>Turnout 39.9%</strong></table
<th style='text-align: right;'>Cornish, Janet Ms.</strong></table
<th style='text-align: right;'>LD<br style='color: red;'>398 </strong></table
<th style='text-align: right;'>Clare, Richard </strong></table
<th style='text-align: right;'>LD<br style='color: red;'>318 </strong></table
<th style='text-align: right;'>Nankivill, Mark </strong></table
<th style='text-align: right;'>LD<br style='color: red;'> 3 85 </strong></table
<th style='text-align: right;'>Haddad, Aceil </strong></table
<th style='text-align: right;'>CON<br style='color: red;'> 746 </strong></table
<th style='text-align: right;'>Grenfell Trust </strong></table
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<page_number>148</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
By-elections
<table>
<thead>
<tr>
<td>Chadwell<br>08 July 2010</td>
<td>Turnout 25.5%</td>
<td>Aldborough<br>10 November 2011</td>
<td>Turnout 24.7%</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>No change</td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Streeting, Wes</td>
<td>LAB<br>800</td>
<td>Thiara, Debbie Ms.</td>
<td>LAB<br>1,436</td>
</tr>
<tr>
<td>Munro, Gary I.</td>
<td>CON<br>580</td>
<td>Marks, Melvyn</td>
<td>CON<br>1,071</td>
</tr>
<tr>
<td>Tyne, John C.</td>
<td>LD<br>576</td>
<td>Greaves, Christopher</td>
<td>LD<br>87</td>
</tr>
<tr>
<td>Chowdhry, Wilson</td>
<td>GRE<br>413</td>
<td>Wiffen, Paul</td>
<td>UKIP<br>83</td>
</tr>
<tr>
<td>Leppert, Julian P. Ms.</td>
<td>BNP<br>115</td>
<td>Durdle, Clive</td>
<td>GRE<br>64</td>
</tr>
<tr>
<td>Wiffen, Paul K.</td>
<td>UKIP<br>54</td>
<td>Warville, Danny</td>
<td>BNP<br>34</td>
</tr>
<tr>
<td colspan="4">Disqualification of Gittens, Mark (LAB)</td>
</tr>
<tr>
<td colspan="4">Resignation of Figg, Mike (LAB)</td>
</tr>
</tbody>
</table>
Redbridge
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>149</page_number>
**Richmond upon Thames**
Conservative administration
<img>A map of Richmond upon Thames showing the results of the 2014 local election. The map is divided into electoral wards, each represented by a number. The ward boundaries are shown with blue lines. The results are indicated by different colors: blue for Conservative, yellow for Liberal Democrat, and green for Conservative/Liberal Democrat.</img>
Conservative
Liberal Democrat
Conservative/Liberal Democrat
| Ward | Candidate |
|---|---|
| Barnes | Mortlake and Barnes |
| East Sheen | Common |
| Fulwell and Hampton Hill | North Richmond |
| Ham, Petersham and Richmond Riverside | South Richmond |
| Hampstead | South Twickenham |
| Hampton North | St. Margarets and Teddington |
| Hampton Wick | Twickenham Riverside |
| Heathfield | West Twickenham |
| Kew | Whitton |
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.514</td>
<td>39</td>
<td>-</td>
<td>15</td>
<td>-</td>
<td>54</td>
<td>22.514</td>
<td>46.1</td>
<td>39.6</td>
<td>11.0</td>
<td>28.0</td>
<td>21.3</td>
</tr>
<tr>
<td>6.510</td>
<td>30</td>
<td>-</td>
<td>24</td>
<td>-</td>
<td>54</td>
<td>6.510</td>
<td>73.0</td>
<td>42.1</td>
<td>9.0</td>
<td>40.1</td>
<td>8.8</td>
</tr>
<tr>
<td>4.506</td>
<td>18</td>
<td>-</td>
<td>36</td>
<td>-</td>
<td>54</td>
<td>4.506</td>
<td>51.1</td>
<td>39.0</td>
<td>5.6</td>
<td>44.8</td>
<td>10.6</td>
</tr>
<tr>
<td>2.502</td>
<td>39</td>
<td>-</td>
<td>15</td>
<td>-</td>
<td>54</td>
<td>2.502</td>
<td>39.9</td>
<td>44.2</td>
<td>13.8</td>
<td>35.8</td>
<td>6.1</td>
</tr>
<tr>
<td>7.598</td>
<td>14</td>
<td>-</td>
<td>43</td>
<td>-</td>
<td>52</td>
<td>7.598</td>
<td>45.0</td>
<td>35.9</td>
<td>20.8</td>
<td>42.4</td>
<td>0.9</td>
</tr>
<tr>
<td>5.594</td>
<td>7</td>
<td>-</td>
<td>243</td>
<td>-</td>
<td>52</td>
<td>5.594</td>
<td>55.6</td>
<td>35.2</td>
<td>18.2</td>
<td>46.4</td>
<td>0.3</td>
</tr>
<tr>
<td>3.590</td>
<td>-39876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678767876787678
|<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
General statistics
<table>
<thead>
<tr>
<th>Electorate </th>
<th>Richmond upon Thames </th>
<th>London </th>
</tr>
</thead>
<tbody>
<tr>
<td>Electorate </td>
<td>
May 2014<br/>
May 2010
</td>
<td>
138,824<br/>
138,317<br/>
5,689,223
</td>
</tr>
<tr>
<td>
Resident population aged 18 and over
</td>
<td>
Mid 2014<br/>
Mid 2010
</td>
<td>
148,000<br/>
145,800<br/>
6,597,100<br/>
6,318,000
</td>
</tr>
<tr>
<td>
Estimated % unemployed
</td>
<td>
2013/14<br/>
2009/10
</td>
<td>
4.5<br/>
5.3<br/>
8.2<br/>
9.1
</td>
</tr>
<tr>
<td>
Band 'D' council tax
</td>
<td>
May 2014<br/>
May 2010
</td>
<td>
£1,590<br/>
£1,597<br/>
£1,302
</td>
</tr>
</tbody>
\end{table}
<page_number>150</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**% share of the poll**
<table>
<thead>
<tr>
<th></th>
<th>Date</th>
<th>%poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>GRE</th>
<th>BNP</th>
<th>UKIP</th>
<th>IND</th>
<th>REA Others</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barnes</td>
<td>22.5.14<br>6.5.10</td>
<td>43.9<br>73.2</td>
<td>55.8<br>56.5</td>
<td>11.0<br>8.8</td>
<td>18.6<br>34.6</td>
<td>14.6<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
</tr>
<tr>
<td>East Sheen</td>
<td>22.5.14<br>6.5.10</td>
<td>48.8<br>78.7</td>
<td>55.7<br>51.0</td>
<td>10.7<br>6.0</td>
<td>18.6<br>31.2</td>
<td>14.9<br>11.9</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
</tr>
<tr>
<td>Fulwell and Hampton Hill</td>
<td>22.5.14<br>6.5.10</td>
<td>44.7<br>73.7</td>
<td>35.7<br>31.9</td>
<td>12.0<br>9.2</td>
<td>37.8<br>45.7</td>
<td>14.6<br>13.3</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
<td>--<br>--</td>
</tr>
<tr>
<td>Ham, Petersham & Richmond Riverside</td>
<td>22.5.14<br>6.5.10</td>
<td>50.0<br>71.8</td>
<td>35.0<br>37.4</td>
<td>9.2<br>6.5</td>
<td>35.6<br>41.3</td>
<td>11.5<br>10.6</td>
<td>-<br>-</td>
<td>-<br>-</td>
<td>-<br>-</td>
<td>-<br>-</td>
</tr>
<tr>
<td>Hampton North & Richmond Riverside (Cons)</td>
<td>22.5.14<br>6.5.10</td>
<td>48.4<br>75.5</td>
<td>30.4<br>40.6</td>
<td>8.9<br>8.2</td>
<td>35.6<br>51.2</td>
<td>12.6<br>-</td>
<td>-<br>-</td>
<td>-<br>-</td>
<td>-<br>-</td>
<td>-<br>-</td>
</tr>
<tr>
<td>Petersham & Richmond Riverside (Lib Dem)</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
<tr><th colspan="11">Hampton Wick (Lib Dem)</th></tr><tr><th colspan="11">Heathfield (Lib Dem)</th></tr><tr><th colspan="11">Kew (Lib Dem)</th></tr><tr><th colspan="11">Mortlake and Barnes Common (Lib Dem)</th></tr><tr><th colspan="11">North Richmond (Lib Dem)</th></tr><tr><th colspan="11">St Margarets and North Twickenham (Lib Dem)</th></tr><tr><th colspan="11">South Richmond (Lib Dem)</th></tr><tr><th colspan="11">South Twickenham (Lib Dem)</th></tr><tr><th colspan="11">Teddington (Lib Dem)</th></tr><tr><th colspan="11">Twickenham Riverside (Lib Dem)</th></tr><tr><th colspan="11">West Twickenham (Lib Dem)</th></tr><tr><th colspan="11">Whitton (Lib Dem)</th></tr></tbody></table>
Richmond upon Thames
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>151</page_number>
**Results**
<table>
<thead>
<tr>
<td>Barnes<br>No change</td>
<td>Turnout 43.9%</td>
<td>Ham, Petersham & Richmond Riverside<br>2 CON gains from LD</td>
<td>Turnout 50.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Palmer, Rita G. S. Ms.<sup>*</sup></td>
<td><strong>CON</strong><br>1,852</td>
<td>Frost, Penelope E. Ms.</td>
<td><strong>LD</strong><br>1,341</td>
</tr>
<tr>
<td>Hodgins, Paul C.<sup>*</sup></td>
<td><strong>CON</strong><br>1,844</td>
<td>Loveland, Jean Ms.</td>
<td><strong>CON</strong><br>1,319</td>
</tr>
<tr>
<td>Percival, Christine C. Ms.<sup>*</sup></td>
<td><strong>CON</strong><br>1,840</td>
<td>Tippett, Sarah V. Ms.</td>
<td><strong>CON</strong><br>1,316</td>
</tr>
<tr>
<td>Emerson, Merlene Ms.</td>
<td>LD<br>654</td>
<td>Williams, David R.</td>
<td>LD<br>1,299</td>
</tr>
<tr>
<td>Rampton, Carolyn M. Ms.</td>
<td>LD<br>617</td>
<td>Miller, Brian P.</td>
<td>LD<br>1,266</td>
</tr>
<tr>
<td>Howell, John A. R.</td>
<td>LD<br>574</td>
<td>Joyce, Seamus</td>
<td><strong>CON</strong><br>1,208</td>
</tr>
<tr>
<td>Ridley, Matthew</td>
<td>GRE<br>484</td>
<td>Frieze, Andreee M.</td>
<td>GRE<br>420</td>
</tr>
<tr>
<td>Cooper, Frank A.</td>
<td>LAB<br>406</td>
<td>Saunders, Sandra G. Ms.</td>
<td>LAB<br>401</td>
</tr>
<tr>
<td>Patel, Su Ms.</td>
<td>LAB<br>373</td>
<td>Sparrow, David</td>
<td>UKIP<br>342</td>
</tr>
<tr>
<td>Graystone, David P.</td>
<td>LAB<br>315</td>
<td>Fawcett, Chris<br>Naz, Sam Ms.</td>
<td>LAB<br>326</td>
</tr>
<tr style="border-top: double;">
<td colspan="2">East Sheen<br>No change</th><th style="text-align: right;">Turnout 48.8%</th><th colspan="2"></th></tr>
<tr style="border-top: double;">
<td colspan="2">True, Nicholas E. Lord<sup>*</sup></th><th style="text-align: right;"><strong>CON</strong><br>2,159</th><th style="text-align: right;">Rollin, Laura Ms.</th></tr>
<tr style="border-top: double;">
<td colspan="2">Marcel, Brian A.</th><th style="text-align: right;"><strong>CON</strong><br>2,128</th><th style="text-align: right;"></th></tr>
<tr style="border-top: double;">
<td colspan="2">Thompson, Robert S.</th><th style="text-align: right;"><strong>CON</strong><br>1,995</th><th style="text-align: right;">Hampton<br>Turnout 48.4%</th></tr>
<tr style="border-top: double;">
<td>Catchpole, Timothy M.</th><th style="text-align: left;">LD<br>790</th><th style="text-align: right;">1 CON gain from LD</th><th style="text-align: right;"></th></tr>
<tr style="border-top: double;">
<td>Macbean, Nicola C. Ms.</th><th style="text-align: left;">LD<br>725</th><th style="text-align: right;">Roberts, Gareth D.<sup>*</sup></th><th style="text-align: right;"><strong>LD</strong><br>1,578</th></tr>
<tr style="border-top: double;">
<td>Lang, Helena Ms.</th><th style="text-align: left;">LD<br>586</th><th style="text-align: right;">Nicholson, Suzette B. Ms.<sup>*</sup></th><th style="text-align: right;"><strong>LD</strong><br>1,570</th></tr>
<tr style="border-top: double;">
<td>Hegarty, Simon C.</th><th style="text-align: left;">GRE<br>561</th><th style="text-align: right;">Sale, Petra Ms.</th><th style="text-align: right;"><strong>CON</strong><br>1,341</th></tr>
<tr style="border-top: double;">
<td>Miles, David<br>Turner-Morris, Elisabeth Ms.</th><th style="text-align: left;">LAB<br>410<br>LAB<br>404</th><th style="text-align: right;">Davies, Mark<br>Popadz, Nuriyah Ms.</th><th style="text-align: right;"><strong>CON</strong><br>1,244<br>LD<br>1,241</th></tr>
<tr style="border-top: double;">
<td>Freedman, Mike<br>Fulwell and Hampton Hill<br>1 CON gain from LD</th><th style="text-align: left;">LAB<br>393</th><th style="text-align: right;">Ikeazor, Nathaniel N.<br>Vannec-Surplice, Teresa Ms.</th><th style="text-align: right;"><strong>CON</strong><br>1,157<br>GRE<br>519<br>Cornor, Alex<br>Mills, Margaret T. Ms.<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB...<br>Broughton, Joe...<br>Sear, Dan...<br>Hollis, Dabbie Ms.<br>Saunders, Monica J. Ms.<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...<br>Saunders...</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Cardy, Jonathan M.<sup>*</sup></th><th style="text-align: right;"><strong>LD</strong><br>1,328</th><th style="text-align: right;"></th></tr>
<tr style="border-top: double;">
<td colspan="2">Elloy, Jerry<th></table>
<table>
<tr style="border-top: double;">
<td colspan="2">Boyle, Mark A. V.<sup>*</sup></table>
<table>
<tr style="border-top: double;">
<td colspan="2">Broughton,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Sear,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Wyatt,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Nixon,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan="2">Gray,</table>
<table>
<tr style="border-top: double;">
<td colspan "
<page_number>152</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Richmond upon Thames**
<table>
<thead>
<tr>
<td>Hampton Wick<br>No change</td>
<td>Turnout 42.1%</td>
<td>Mortlake and Barnes Common<br>No change</td>
<td>Turnout 46.4%</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Arbour, Tony *</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,870</strong></td>
<td><strong>Curran-Stockley, Gemma A. Ms.</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,844</strong></td>
</tr>
<tr>
<td><strong>Mathias, Tania W. Ms. *</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,708</strong></td>
<td><strong>Avon, Paul M.</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,809</strong></td>
</tr>
<tr>
<td><strong>Evans, Gareth J. *</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,586</strong></td>
<td><strong>Martin, Richard R.</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,630</strong></td>
</tr>
<tr>
<td>Bangham, Michael J.</td>
<td>CRE</td>
<td>696</td>
<td>Dingemans, Michael</td>
<td>LD</td>
<td>907</td>
</tr>
<tr>
<td>Chard, James H.</td>
<td>LD</td>
<td>676</td>
<td>Dyer, Hong L. Ms.</td>
<td>LD</td>
<td>856</td>
</tr>
<tr>
<td>Gee, Chris</td>
<td>LD</td>
<td>647</td>
<td>Mcnulty-Howard, Anton C. P.</td>
<td>LD</td>
<td>665</td>
</tr>
<tr>
<td>Goodrich, Mark B.</td>
<td>LD</td>
<td>593</td>
<td>Page, James</td>
<td>GRE</td>
<td>500</td>
</tr>
<tr>
<td>Loewenstein, Caroline A. Ms.</td>
<td>LAB</td>
<td>522</td>
<td>Danciger, Simon L.</td>
<td>IND</td>
<td>454</td>
</tr>
<tr>
<td>Ward, Gerard E.</td>
<td>LAB</td>
<td>520</td>
<td>Aldridge, Steph Ms.</td>
<td>GRE</td>
<td>436</td>
</tr>
<tr>
<td>Nixon, Sheila D. Ms.</td>
<td>LAB</td>
<td>474</td>
<td>Grieffths, Leonard J.</td>
<td>LAB</td>
<td>386</td>
</tr>
<th colspan="2">Heathfield<br>T 1 CON gain from LD<br>Turnout 44.4%</th>
<th colspan="2">Coombs, John W. G. *</th>
<th colspan="2">Butler, Alan D. *</th>
<th colspan="2">Hambidge, Annie Ms.</th>
<th colspan="2">Cobb, Rosy Ms.</th>
<th colspan="2">Wilson, Michael R.</th>
<th colspan="2">Shaukat, Saba Ms.</th>
<th colspan="2">Evans, Rhonda Ms.</th>
<th colspan="2">Newbery, Robert J.</th>
<th colspan="2">Christie, Andrew D. W.</th>
<th colspan="2">Owen, Craig</th>
<th colspan="2">Smith, Stephen P.</th>
<th colspan="2">Kew<br>T 1 CON gain from LD<br>Turnout 52.7%</th>
<th colspan="2">Bond, Meena Ms. *</th>
<th colspan="2">Linnette, David R. *</th>
<th colspan="2">Horner, Monica A. Ms.</th>
<th colspan="2">Burford, J-F*</th>
<th colspan="2">Mogliner, Catrin Ms.</th>
<th colspan="2">Sosnowski, Leon</th>
<th colspan="2">Webster, Andrew P. H.</th>
<th colspan="2">James, Gareth K.</th>
<th colspan="2">Leons-Marder, Pamela Ms.</th>
<th colspan="2">Eades, Tony</th>
<th colspan="2">Harrison, Jane Ms.</th>
<table border="1">
<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><tr><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><td rowspan="3" style="text-align: center;">No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>No change<br>Nochange...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...<br>t LD gain from CON...</tr></thead><tbody style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><td rowspan="3" style="text-align: center;">Acton, Geoff Khosa, Ben Ehmann, Alexander C. Healy, Suzanne Ms. Harrison, Chris Parker, Luke R. Munro, Alick Banaji, Penelope J. Ms. Nieper, Anthony R. Ferguson-Jones, Martyn Tutchell, Derek J. A.</tr></tbody></table>
<table border="1">
<thead><tr style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"><thead style="background-color: #cccccc;"><tr style="background-color: #cccccc;"></thead></tbody></table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Hampton Wick No Change </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Arbour,Tony* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Mathias,Tania W.Ms.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Evans,Gareth J.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Bangham,Michael J. </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Chard,James H. </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Gee ,Chris </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Goodrich ,Mark B. </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Loewenstein,Caroline A.Ms. </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Ward,Gerard E. </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Nixon,Sheila D.Ms. </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Heathfield Turnout 44.4% </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Coomb ,John W.G.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Butler ,Alan D.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Hambidge,Aannie M.s.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Cobb,Rosy M.s.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Wilson ,Michael R.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Shaukat,Saba M.s.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Evans,Rhonda M.s.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Newbery,Robert J.* </table>
<table border='1'>
<tbody id='table_1'>
<tr id='row_0'>
<td id='col_0'>Christie ,Andrew D.W.* </table>
<table border '1' cellspacing = 'none' cellpadding = 'none' align = 'center' width = 'auto' height = 'auto' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top' align = 'center' valign = 'top'
> Richmond upon Thames
> T 1 CON gain from LD
> Turnout 46.2%
> North Richmond
> No Change
> Blakemore,Lisa C.M.s.*
> Buter,Margaret M.s.
> Speak ,Stephen G.M.*
> Ward,Emyl K.M.s.
> Robinson,Rosina J.M.s.
> Pyne,Richard H.
> Williams,Tanya R.M.s.
> Mardey,Barnaby J.L.
> Risner,Pamela J.Ms.
> Jaimongal ,Anthony J.
> Perrin,Raymond A.
> Sosnierz ,Jack
> Acton ,Geoff
> Khosa ,Ben
> Ehmann,Alexander C.
> Healy,Suzanne M.s.
> Harrison ,Chris
> Parker,Luke R.
> Munro,Alick
> Banaji,Penelope J.Ms.
> Nieper ,Anthony R.
> Ferguson-Jones,Martyn
> Tutchell,Derek J.A.
> T 1 CON gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
> T 1 LD gain from CON
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>153</page_number>
<table>
<thead>
<tr>
<td>South Richmond<br>No change</td>
<td>Turnout 43.5%</td>
<td>Twickenham Riverside<br>No change</td>
<td>Turnout 45.9%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Fleming, Pamela A. Ms.*<br>Buckwell, Peter E.</td>
<td>CON<br>1,866<br>1,793</td>
<td>Chappell, Susan M. Ms.*<br>Dias, Benedict</td>
<td>CON<br>1,485<br>1,293</td>
</tr>
<tr>
<td>O'Malley, Thomas K.*<br>Hennessy, Serena A. Ms.<br>Lloyd, Susan H. Ms.<br>Pilkington, Andrew D.</td>
<td>CON<br>1,665<br>788<br>684<br>581</td>
<td>Hill, Helen R. Ms.<br>Crouch, Roger M.</td>
<td>CON<br>1,267<br>1,027</td>
</tr>
<tr>
<td>Nash, Elizabeth J. Ms.<br>Caton, Brian L.<br>Horrocks, Matthew D.<br>Patel, Sachin</td>
<td>GRE<br>LAB<br>LAB<br>LAB</td>
<td>Page, Anne M. Ms.<br>Lane, Deborah Ms.<br>Gladstone, Adam<br>Harley, David</td>
<td>GRE<br>LAB<br>LAB<br>LAB</td>
</tr>
<tr>
<td>Leon, Robert A.</td>
<td>UKIP<br>283</td>
<td>Naylor, Scott†<br>Meagher, Sarah J. Ms.</td>
<td>UKIP<br>293</td>
</tr>
<tr>
<td colspan="4">South Twickenham<br>No change<br>Turnout 43.3%</td>
</tr>
<tr>
<td colspan="4">Head, Clare Q. Ms.*<br>Porter, David R.*<br>Marlow, David J.*<br>Christien, Daway Ms.</td>
</tr>
<tr>
<td colspan="4">West Twickenham<br>Teddington<br>No change<br>Churchill, Jennifer Ms.*<br>Elongorn, Martin D.*<br>Knight, Stephen J.*<br>Foster, Elizabeth Ms.</td>
</tr>
<tr>
<td colspan="4">Turnout 43.3%</td>
</tr>
<tr>
<td colspan="4">Turnout 43.3%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr>
<tr>
<td colspan="4">Turnout 47.9%</td>
</tr><tr style="border-top: 1px solid black;">
<th>South Richmond No change Fleming, Pamela A. Ms.* CON 1,866 Chappell, Susan M. Ms.* CON 1,485 Twickenham Riverside No change Dias, Benedict CON 1,293 Hill, Helen R. Ms.* CON 1,267 Hennessy, Serena A. Ms. LD 788 Burningham, Susan M. Ms. LD 1,187 Lloyd, Susan H. Ms. LD 684 Howes, Sue Ms. LD 1,142 Pilkington, Andrew D. LD 581 Crouch, Roger M. LD 1,027 Nash, Elizabeth J. Ms. GRE 564 Page, Anne M. Ms. GRE 544 Caton, Brian L. LAB 408 Lane, Deborah Ms. LAB 378 Horrocks, Matthew D. LAB 400 Gladstone, Adam LAB 375 Patel, Sachin LAB 321 Harley, David LAB 355 Leon, Robert A. UKIP 283 Naylor, Scott† UKIP 293 Meagher, Sarah J. Ms. UKIP 254 Edwards, Barry UKIP 235
Head, Clare Q. Ms.* CON 1,621 West Twickenham Turnout 43.3% PORTER DAVID R.* CON 1,551 West Twickenham Turnout 43.3% Marlow David J.* CON 1,480 Allen Pier R.* LD 1,249 Lee-Pearsons Helen MS* LD 1,209 CHRISTIEN DAWNY MS.* LD 918 Lee-Pearsons Helen MS* LD 1,209 BUTLIN MICHAEL LD 914 Boulton Jane MS* CON 1,133 Membery York LD 767 Fevrier Reuben CON 1,105 Locke Diana MS.* GRE 652 Pollesche Lesley E. MS* LD 1,030 Carpenter James J. LAB 521 Woolnough Graham CON 966 Mcgawn Lees Beatriz MS LAB 504 Browning Neil R LAB 520 Guichard Stephen J LAB 502 Howard Lisa MS GRE 482 Tanto Paul LAB 474 Teddington Turnout 47.8% MCCABE PETER LAB 446 Lailey Richard G UKIP 405 MOODIE JAMIE A UKIP 367
Churchill Jennifer MS* LD 1,587 Elengorn Martin D* LD 1,514 Knight Stephen J* LD 1,497 Whitton Turnout gain from LD Foster Elizabeth MS CON 1,447 Whitton Turnout gain from LD Hollis Jon CON 1,356 Elliott Gareth* CON 1,427 Lamb Simon CON Healy Grant CON 1,296 Jaeger Liz MS* LD Healy Grant CON
Sanders-Barwick Mark GRE Healy Grant CON
Ould Cheryl C MS LAB Hope Marc CON
Simms Michelle MS LAB Juriansz Alan M LD
Tutchell Eva MS LAB Topol Steven J LD
Stockford Dominic F UKIP Orchard Douglas UKIP
H Paul IND
Wilton Neil R IND
Barber Alan LAB
Batey Stephen J LAB
Low Sampson E D LAB
Majainah Rustam G GRE
<img>RICHMOND UPON THAMES logo with a boat on water and the text "RICHMOND UPON THAMES" above it.</img>
| South Richmond | Turnout | Twickenham Riverside | Turnout |
|---|---|---|---|
| Fleming | CON | Chappell | CON |
| Buckwell | CON | Dias | CON |
| O'Malley | CON | Hill | CON |
| Hennessy | LD | Burningham | LD |
| Lloyd | LD | Howes | LD |
| Pilkington | LD | Crouch | LD |
| Nash | GRE | Page | GRE |
| Caton | LAB | Lane | LAB |
| Horrocks | LAB | Gladstone | LAB |
| Patel | LAB | Harley | LAB |
| Leon | UKIP | Naylor | UKIP |
| South Twickenham | Turnout | West Twickenham | Turnout |
|---|---|---|---|
| Head | CON | Allen Pier R* | LD |
| Porter | CON | Lee-Pearsons Helen MS* | LD |
| Marlow David J* | CON | Boulton Jane MS* | CON |
| Christien Daway MS* | LD | Fevrier Reuben | CON |
| Butlin Michael | LD | Pollesche Lesley E MS* | LD |
| Membery York | LD | Woolnough Graham | CON |
| Locke Diana MS* | GRE | Browning Neil R | LAB |
| Carpenter James J* | LAB | Howard Lisa MS* | GRE |
| Mcgawn Lees Beatriz MS* | LAB | Tanto Paul | LAB |
| Guichard Stephen J* | LAB |
| Teddington No change Churchil Jennifer MS* Elengorn Martin D* Knight Stephen J* Foster Elizabeth MS |
| South Richmond No change Fleming Pamela A.Ms.* Buckwell Peter E.*
**Richmond upon Thames**
**South Richmond No change Fleming Pamela A.Ms.* Buckwell Peter E.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
**South Twickenham No change Head Clare Q.Ms.* Porter David R.*
<page_number>154</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# By-election
**North Richmond**
Turnout 52.4%
No change
03 May 2012
<table>
<thead>
<tr>
<th>Speaker</th>
<th>Party</th>
<th>Number</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Speak, Stephen</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,733</strong></td>
</tr>
<tr>
<td>Dodds, Jane Ms.</td>
<td>LD</td>
<td>1,587</td>
</tr>
<tr>
<td>Caton, Brian</td>
<td>LAB</td>
<td>364</td>
</tr>
<tr>
<td>Page, James R.</td>
<td>GRE</td>
<td>206</td>
</tr>
<tr>
<td>Cranfield-Adams, Marc L.</td>
<td>IND</td>
<td>123</td>
</tr>
<tr>
<td colspan="3"><em>Resignation of Montague, Richard J. (CON)</em></td>
</tr>
</tbody>
</table>
Richmond upon Thames
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>155</page_number>
**Southwark**
Labour administration
<img>A map of Southwark showing the results of the 2014 local elections. The map is divided into 18 electoral wards, each represented by a different colour. The colours are as follows:
- Red: Labour
- Orange: Liberal Democrat
- Purple: Conservative/Labour
- Orange with red outline: Labour/Liberal Democrat
The ward names are as follows:
1. Brunswick Park
2. Cambell Green
3. Cathedrals
4. Chaucer
5. College
6. East Dulwich
7. East Dulwich North
8. Faraday
9. Grange
10. Livesey
11. Newington
12. Nunhead
13. Peckham Rye
14. Riverside
15. Rotherhithe
16. South Bermondsey
17. South Norwood
18. Surrey Docks
20. The Lane Village
21. Village
The ward boundaries are shown in black lines.
The ward names are as follows:
- 1: Brunswick Park
- 2: Cambell Green
- 3: Cathedrals
- 4: Chaucer
- 5: College
- 6: East Dulwich
- 7: East Dulwich North
- 8: Faraday
- 9: Grange
- 10: Livesey
- 11: Newington
- 12: Nunhead
- 13: Peckham Rye
- 14: Riverside
- 15: Rotherhithe
- 16: South Bermondsey
- 17: South Norwood
- 18: Surrey Docks
- 20: The Lane Village
- 21: Village
The ward boundaries are shown in black lines.
The ward names are as follows:
- 1: Brunswick Park
- 2: Cambell Green
- 3: Cathedrals
- 4: Chaucer
- 5: College
- 6: East Dulwich
- 7: East Dulwich North
- 8: Faraday
- 9: Grange
- 10: Livesey
- 11: Newington
- 12: Nunhead
- 13: Peckham Rye
- 14: Riverside
- 15: Rotherhithe
- 16: South Bermondsey
- 17: South Norwood
- 18: Surrey Docks
- 20: The Lane Village
- 21: Village
The ward boundaries are shown in black lines.
The ward names are as follows:
- 1: Brunswick Park
- 2: Cambell Green
- 3: Cathedrals
- 4: Chaucer
- 5: College
- 6: East Dulwich
- 7: East Dulwich North
- 8: Faraday
- 9: Grange
- 10: Livesey
- 11: Newington
- 12: Nunhead
- 13: Peckham Rye
- 14: Riverside
- 15: Rotherhithe
- 16: South Bermondsey
- 17: South Norwood
- 18: Surrey Docks
- 20: The Lane Village
- 21: Village
The ward boundaries are shown in black lines.
The ward names are as follows:
- 1: Brunswick Park
<page_number>156</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Southwark
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Brunswick Park</td>
<td>22.5.14</td>
<td>36.2</td>
<td>9.4</td>
<td>56.0</td>
<td>7.0</td>
<td>17.1</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>10.5</strong></td>
</tr>
<tr>
<td></td>
<td>10.3.11</td>
<td>34.2</td>
<td>4.2</td>
<td>65.1</td>
<td>20.7</td>
<td>7.6</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><strong>2.3</strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>58.3</td>
<td>11.0</td>
<td>53.3</td>
<td>21.5</td>
<td>14.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Camberwell Green</td>
<td>22.5.14</td>
<td>32.2</td>
<td>7.2</td>
<td>57.4</td>
<td><strong>4.7</strong></td>
<td><strong>11.5</strong></td>
<td>--<br><strong>8.4<br/></strong></td>
<td>--<br><strong>-<br/></strong></td>
<td>--<br><strong>-<br/></strong></td>
<td><strong>10.8<br/></strong></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>53.7</td>
<td>10.0</td>
<td>60.0<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>16.3<br></td>
<td>7.4<br></td>
<td>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<br>--<b style="color:blue;">-- 6.3 -- </b></td></tr>
<tr style="border-top: 1px solid black;">
<th>Cathedrals<br/>East Dulwich<br/>East Walworth<br/>Faraday<br/>Grange<br/>Livesey<br/>Newington<br/>Nunhead<br/>Peckham<br/>Peckham Rye<br/>Riverside<br/>Rotherhithe<br/>South Bermondsey<br/>South Camberwell<br/>Surrey Docks<br/>The Lane<br/>Village
</th>
<th style="text-align:left; border-right: 1px solid black; padding-right: 5px; padding-left: 5px; border-bottom: 1px solid black;">
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Date (MM/DD)</th>
<th>%poll (%</th>
<th colspan="2">CON (%</th>
<th colspan="2">LAB (%</th>
<th colspan="2">LD (%</th>
<th colspan="2">GRE (%</th>
<th colspan="2">BNP (%</th>
<th colspan="2">UKIP (%</th>
<th colspan="2">IND (%</th>
<th colspan="2">REA Others (%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th>Description (Polling Station)</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody style="border-top: 1px solid black; border-bottom: 1px solid black;">
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<table style="width: 99%; border-collapse: collapse; border-top: 1px solid black; border-bottom: 1px solid black;">
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<th>Date (MM/DD)</th>
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<th colspan="2">CON (%)</th>
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<th colspan="2">LD (%)</th>
<th colspan="2">GRE (%)</th>
<th colspan="2">BNP (%)</th>
<th colspan="2">UKIP (%)</th>
<th colspan="2">IND (%)</th>
<th colspan="2">REA Others (%)</th>
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<table style="width: 99%; border-collapse: collapse; border-top: 1px solid black; border-bottom: 1px solid black;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Date (MM/DD)</th>
<th>%poll (%)</th>
<th colspan="2">CON (%)</th>
<th colspan="2">LAB (%)</th>
<th colspan="2">LD (%)</th>
<th colspan="2">GRE (%)</th>
<th colspan="2">BNP (%)</th>
<th colspan="2">UKIP (%)</th>
<th colspan="2">IND (%)</th>
<th colspan="2">REA Others (%)</th>
<th rowspan="3" style="border-top: 1px solid black; border-bottom: 1px solid black;"></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/>
<div style="position:absolute;top:-9999px;left:-9999px;width:auto;height:auto;border:none;display:block;padding:0;margin:0;"></style>>
<table style="width: 99%; border-collapse: collapse; border-top: 1px solid black; border-bottom: 1px solid black;">
<thead style="background-color: #f0f0f0;">
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<th>Date (MM/DD)</th>
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<th colspan="2">LAB (%)</th>
<th colspan="2">LD (%)</th>
<th colspan="2">GRE (%)</th>
<th colspan="2">BNP (%)</th>
<th colspan="2">UKIP (%)</th>
<th colspan="2">IND (%)</th>
<th colspan="2">REA Others (%)</th>
<th rowspan="3" style="border-top: 1px solid black; border-bottom: 1px solid black;"></span style=""></style>>
```html
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>157</page_number>
**Results**
<table>
<thead>
<tr>
<td>Brunswick Park</td>
<td>Turnout 36.2%</td>
<td>Cathedrals</td>
<td>Turnout 31.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Burgess, Rahda E. Ms.</td>
<td>LAB</td>
<td>2,102<br>Morris, Adele*</td>
<td>LD<br>1,642</td>
</tr>
<tr>
<td>Williams, Mark*</td>
<td>LAB</td>
<td>1,861<br>Noakes, David*</td>
<td>LD<br>1,562</td>
</tr>
<tr>
<td>Wingfield, Ian*</td>
<td>LAB</td>
<td>1,815<br>Linforth-Hall, Maria R. Ms.</td>
<td>LD<br>1,518</td>
</tr>
<tr>
<td>Fidgett, Alexis</td>
<td>GRE</td>
<td>643<br>Heys, Tom</td>
<td>LAB<br>1,216</td>
</tr>
<tr>
<td>Spring, Andy</td>
<td>GRE</td>
<td>576<br>Dennis, Helen Ms.</td>
<td>LAB<br>1,210</td>
</tr>
<tr>
<td>Masten-Kelly, Conor</td>
<td>GRE</td>
<td>546<br>Islam, Sirajul</td>
<td>LAB<br>1,037</td>
</tr>
<tr>
<td>Blake, Jennifer Ms.</td>
<td>APP</td>
<td>360<br>Concepcion, Charlene Ms.</td>
<td>GRE<br>512</td>
</tr>
<tr>
<td>Phillips, Stephen G. B.</td>
<td>CON</td>
<td>347<br>Collins, Laura A. Ms.</td>
<td>CON<br>509</td>
</tr>
<tr>
<td>Wood, Rebecca Ms.</td>
<td>CON</td>
<td>342<br>Duckworth, James</td>
<td>GRE<br>473</td>
</tr>
<tr>
<td>Dawson, Elizabeth Ms.</td>
<td>LD</td>
<td>287<br>Webster, James L. W.</td>
<td>CON<br>454</td>
</tr>
<tr>
<td>Thurogood-Hyde, Tomas W.</td>
<td>CON</td>
<td>283<br>Lyons, Eleanor J. Q. Ms.</td>
<td>CON<br>423</td>
</tr>
<tr>
<td>Swidlicki, Pawel K. A.</td>
<td>LD</td>
<td>230<br>Whitehead, Ciaran</td>
<td>GRE<br>394</td>
</tr>
<tr>
<td>Zuleta, Lorraine Ms.</td>
<td>LD</td>
<td>201<br>Murray, Peter J.</td>
<td>UKIP<br>343</td>
</tr>
<table border="1">
<thead><tr><th>Camberwell Green No change Turnout 32.2%</th><th colspan="2">Chaucer Turnout 35.0%</th></tr></thead><tbody><tr><th>Flynn, Tom LAB 2,141 Maugham, Claire Ms.</th><th colspan="2">2 LAB gains from LD LAB 1,765</th></tr><tr><th>Dixon-Fyle, Dora Ms.* LAB 2,124 Eastham, Karl D.</th><th colspan="2">LAB 1,758</th></tr><tr><th>Williams, Kieron LAB 1,933 Luthra, Vijay LAB 1,645</th><th colspan="2"></th></tr><tr><th>Beresford, Tracey E. Ms. GRE 525 Clark, Paddy*</th><th colspan="2">LD 1,475</th></tr><tr><th rowspan="2">Evans, David GRE 360 Hougboro, William LD 1,283 Greaves* Greaves*</th><th colspan="2"></th></tr><tr><th colspan="2"></th></tr><tr><th>Friel, Rosemary P. Ms. GRE 354 Mcnally, Tim*</th><th colspan="2">LD 1,276</th></tr><tr><th>Canto, Mark D. UKIP 302 Blackman, Paul GRE 719</th><th colspan="2"></th></tr><tr><th rowspan="2">Hayward, Robert A. CON 277 Packer, Tom CON 420 Hutton* Hutton*</th><th colspan="2"></th></tr><tr><th colspan="2"></th></tr><tr><th>Hann, Colin W. A. CON 271 Didier-Carnham, Suzie A. Ms. CON 414 Adewale, Terry APP 245 Woodrow, Russell V. CON 330 Lee, Penny Ms. LD 236 Linacre, Emma K. Ms. TUSC 124 Thompson, Marjorie E. Ms. CON 225 Ellis, James TUSC 143 College Turnout 46.4%</th><th colspan="2"></th></tr><tr><th rowspan="2">Orso, Georgina Ms. LD 140 I LAB gain from CON LD 136 Hayes Helen E. Ms.* LAB 2,287 Simmons, Andy* LAB 2,070 Hartley Jon LAB 1,987 Robinson, Lewis * CON 1,286 Chatli, Lindsay Ms. CON 1,174 Millson Stuart R. L. CON 1,137 Lothanin Kirsty A. Ms. GRE 389 Goodman, Robert N. GRE 370 Vincente*, Jamie GRE 346 Connolly*, Theresa P. Ms. LD 230 Gardner*, Brigid C. Ms. LD 219 Hedley*, John LD 201 </th><th colspan="2"></th></tr></tbody></table>
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<page_number>158</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<img>Southwark logo</img>
**East Dulwich**
<table>
<thead>
<tr>
<td></td>
<td>Turnout 43.4%</td>
<td>Faraday</td>
<td>Turnout 32.0%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Barber, James *<br>Shimell, Rosie Ms.*<br>Smith, Charlie<br>Morshead, Katharine M. Ms.</td>
<td>LD<br>LD<br>LAB<br>LD</td>
<td>1,667<br>1,441<br>1,342<br>1,298</td>
<td>No change<br>Lauder, Lorraine Ms.*<br>Fleming, Paul W.<br>Garfield, Dan*</td>
<td>LAB<br>LAB<br>LAB<br>GRE</td>
<td>1,590<br>1,567<br>1,508<br>302</td>
</tr>
<tr>
<td>Mitchell, Jonathan S. *</td>
<td>LAB</td>
<td>1,298</td>
<td>Ades, Rose Ms.</td>
<td>GRE</td>
<td>262</td>
</tr>
<tr>
<td>Bakharia, Cassim<br>Armour, Sophie Ms.</td>
<td>LAB</td>
<td>1,279</td>
<td>Pocock, Ian</td>
<td>GRE</td>
<td>251</td>
</tr>
<tr>
<td>Taubin, Abby Ms.</td>
<td>GRE</td>
<td>702</td>
<td>Eckersley, Toby<br>Morrison, Ioanna Ms.</td>
<td>CON</td>
<td>245<br>216</td>
</tr>
<tr>
<td>Chaplin, Paul<br>Broomhead, Alan<br>Lyons, Joseph A.</td>
<td>GRE<br>CON<br>CON</td>
<td>463<br>352<br>346</td>
<td>Furze, David C.<br>Conteh, Gibrill<br>Atako, Juliet Ms.</td>
<td>CON<br>APP<br>APP</td>
<td>210<br>171<br>163</td>
</tr>
<tr>
<td>Okparaocha, Edith I.<br>Stanbury, Linda Ms.</td>
<td>CON<br>UKIP</td>
<td>294<br>208</td>
<td>Ladipo, Jelil<br>Mustoe, Sarah Ms.<br>Kanumansa, Alhajj</td>
<td>LD<br>APP<br>TUSC</td>
<td>163<br>139<br>124</td>
</tr>
**East Walworth**
No change
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <strong>TUSC 113 LD 106</strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong><br><strong>></strong>*</table>
**Lury, Rebecca Ms.*<table>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">LAB</th>
<th style="text-align: right;">1,693</th>
<th style="text-align: left;">Grange</th>
<th style="text-align: right;">Turnout 30.9%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Merrill, Darren*</th>
<th style="text-align: right;">1,549</th>
<th style="text-align: left;">T LAB gain from LD</th>
<th style="text-align: right;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Seaton, Martin*</th>
<th style="text-align: right;">1,510</th>
<th style="text-align: left;"></th>
<th style="text-align: right;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Salmon, Jane Ms.</th>
<th style="text-align: right;">612</th>
<th style="text-align: left;">Green, Lucas</th>
<th style="text-align: right;">LAB 1,160</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Harper, James M.</th>
<th style="text-align: right;">552</th>
<th style="text-align: left;">Johnson, Ben</th>
<th style="text-align: right;">LD 1,150</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Beckley, Daniel</th>
<th style="text-align: right;">537</th>
<th style="text-align: left;">O'Brien, Damian S.</th>
<th style="text-align: right;">LD 1,071</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Draper, Joshua</th>
<th style="text-align: right;">454</th>
<th style="text-align: left;">Lamb, Octavia M. Ms.</th>
<th style="text-align: right;">LAB 1,065</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Kemp, Philip H.</th>
<th style="text-align: right;">257</th>
<th style="text-align: left;">Walsh, Helen V. Ms.</th>
<th style="text-align: right;">LD 1,052</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Salisbury, Emma C. G. Ms.</th>
<th style="text-align: right;">249</th>
<th style="text-align: left;">Oyewole, Emmanuel</th>
<th style="text-align: right;">LAB 942</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Tutt, Andre L. Ms.</th>
<th style="text-align: right;">213</th>
<th style="text-align: left;">Ferguson, Robert M.</th>
<th style="text-align: right;">CON 545</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Dewsbury, Magnus TUSC 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 54
<img>Dillon Arti TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUSC TUS
<img>Dillon Arti DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLON ARTI DILLION ARTI
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>159</page_number>
<table>
<thead>
<tr>
<th>Livesey<br>No change</th>
<th>Turnout 31.5%</th>
<th>Peckham<br>No change</th>
<th>Turnout 31.3%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Livingstone, Richard *<br>Akoto, Evelyn Ms.</td>
<td>LAB<br>LAB<br>LAB</td>
<td>1,965<br>1,873<br>1,817</td>
<td>Hargrove, Barrie J. *<br>Situ, Johnson<br>Soanes, Cleo Ms. *</td>
<td>LAB<br>LAB<br>LAB</td>
<td>2,126<br>1,995<br>1,903</td>
</tr>
<tr>
<td>Situ, Michael *<br>Turner, Brian D.<br>Nicholson, William<br>Secretan, Tom</td>
<td>UKIP<br>GRE<br>GRE<br>LD</td>
<td>449<br>343<br>330<br>251</td>
<td>Cole, Donald<br>Diniz, Sal Ms.<br>Machado, Pedro M.<br>Prikken, Ingrid</td>
<td>APP<br>GRE<br>GRE<br>APP</td>
<td>327<br>313<br>297<br>239</td>
</tr>
<tr>
<td>Percik, David<br>Callen, Charles S.<br>Fordham, Derek C.</td>
<td>LD<br>LD<br>CON</td>
<td>248<br>242</td>
<td>Foster, Sharon R. Ms.<br>Yusuff, Mariam Ms.</td>
<td>APP<br>APP</td>
<td>239<br>215</td>
</tr>
<tr>
<td>Fordham, Margaret E. Ms.<br>Salter, Michael L. R.</td>
<td>CON<br>CON</td>
<td>217</td>
<td>Lansana, Eric</td>
<td>CON</td>
<td>209</td>
</tr>
<tr>
<td>Shiely, Indira<br>Pougin, Denis</td>
<td>LD<br>APP</td>
<td>216<br>177</td>
<td>Field, Christopher L.<br>Maclaran, Jane S. Ms.</td>
<td>UKIP</td>
<td>201</td>
</tr>
<tr>
<td>Newington<br>I LAB gain from LD</td>
<td colspan="3">Turnout 40.7%</td>
<td>Taras, Christopher C.</td>
<td rowspan="2">LD<br>LD<br>LD<br>LD</td>
<td rowspan="2">96</td>
</tr>
<tr><td colspan="4">Newington 1 LAB gain from LD Anderson, Maisie Ms.</td></tr>
<tr><td colspan="4">Anderson, Maisie Ms.</td></tr>
<tr><td colspan="4">Coyle, Neil *</td></tr>
<tr><td colspan="4">Kerslake, Eleanor A. Ms.</td></tr>
<tr><td colspan="4">Lyne, Ciaran</td></tr>
<tr><td colspan="4">Scott, Malica</td></tr>
<tr><td colspan="4">Whitehead, Daniel J.</td></tr>
<tr><td colspan="4">Lane, Sandra Ms.</td></tr>
<tr><td colspan="4">Rocher-Purchase, Solveig</td></tr>
<tr><td colspan="4">Carroll, Stewart</td></tr>
<tr><td colspan="4">Sampson, Linda J. Ms.</td></tr>
<tr><td colspan="4">Howard-Lloyd, Colm</td></tr>
<tr><td colspan="4">Rees, Richard</td></tr>
<tr><td colspan="4">Evans, Lee D.</td></tr>
<tr><td colspan="4">Offord, Peter TUSC 124</td></tr>
<tr><td colspan="4">Nunhead No change</td></tr>
<tr><td colspan="4">Colley, Fiona Ms. *</td></tr>
<tr><td colspan="4">Chopra, Sunil *</td></tr>
<tr><td colspan="4">Rhule, Sandra Ms.</td></tr>
<tr><td colspan="4">Barbe, Steve</td></tr>
<tr><td colspan="4">Remy, Valerie Ms.</td></tr>
<tr><td colspan="4">Tapsell, Dave</td></tr>
<tr><td colspan="4">Smith, Althea Ms. *</td></tr>
<tr><td colspan="4">Clarke, Robert J.</td></tr>
<tr><td colspan="4">Chan, Gerald</td></tr>
<tr><td colspan="4">Chatthli, Harry</td></tr>
<tr><td colspan="4">Blango, Frances C. Ms.</td></tr>
<tr><td colspan="4">Melly, Paul T.</td></tr>
<tr><td colspan="4">Macee, Dolly Ms.</td></tr>
<tr><th>Livesey No change
Southwark
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
LAB
No change
Hargrove, Barrie J. *
Situ, Johnson
Soanes, Cleo Ms. *
Turnout 31.5%
Turnout 31.3%
No change
Hargrove
Soanes
Turnout 38.4%
Peckham Rye
No change
Hamvas, Renata *
Edwards, Gavin *
Mills, Victoria Ms. *
Turnout 34.3%
Okorode, Edrii Ms.
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
Turnout 38.4%
No change
Hamvas
Edwards
Mills
<page_number>160</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<img>Southwark logo</img>
**Riverside**
No change
<table>
<thead>
<tr>
<td></td>
<td>Turnout 34.1%</td>
<td>South Bermondsey</td>
<td>Turnout 37.7%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Al-Samerasi, Anood*</td>
<td>LD<br>1,589</td>
<td>Dale, Catherine Ms.</td>
<td>LAB<br>1,464</td>
</tr>
<tr>
<td>Mann, Eliza P. Ms.*</td>
<td>LD<br>1,465</td>
<td>Pollak, Leo</td>
<td>LAB<br>1,345</td>
</tr>
<tr>
<td>Mccallum, Hamish</td>
<td>LD<br>1,420</td>
<td>Lambe, Sunny</td>
<td>LAB<br>1,317</td>
</tr>
<tr>
<td>Davey, Edward</td>
<td>LAB<br>807</td>
<td>Neale, Graham J. *</td>
<td>LD<br>1,234</td>
</tr>
<tr>
<td>Samai, Jonathan</td>
<td>LAB<br>642</td>
<td>Bukola, Michael A. *</td>
<td>LD<br>1,214</td>
</tr>
<tr>
<td>Sofekun, Mayowa</td>
<td>LAB<br>610</td>
<td>Kyriacou, Paul A. *</td>
<td>LD<br>1,211</td>
</tr>
<tr>
<td>Dilke, Fisher W. W.</td>
<td>CON<br>589</td>
<td>Gammon, Max</td>
<td>UKIP<br>619</td>
</tr>
<tr>
<td>Lockwood, Alisa N. Ms.</td>
<td>CON<br>567</td>
<td>Conway, Dean</td>
<td>UKIP<br>581</td>
</tr>
<tr>
<td>Roland, Jonathan H. M.</td>
<td>CON<br>481</td>
<td>Orr, Paula Ms.</td>
<td>GRE<br>306</td>
</tr>
<tr>
<td>Lavin, William B.</td>
<td>GRE<br>460</td>
<td>Roberts, Dominic D.</td>
<td>CON<br>236</td>
</tr>
<tr>
<td>Howard, Charlotte G. Ms.</td>
<td>UKIP<br>429</td>
<td>Sharp, James A.</td>
<td>CON<br>187</td>
</tr>
<tr>
<td>Webber, Jackie Ms.</td>
<td>UKIP<br>417</td>
<td>Skriczka, Milly Ms.</td>
<td>CON<br>149</td>
</tr>
<tr>
<td>Graca, Fernando A. M.</td>
<td>UKIP<br>411</td>
<td>Mullins, Bill</td>
<td>TUSC<br>106</td>
</tr>
**Kandinsky, Gary M. A.**
TUSC
72
**Rotherhith**
3 LAB gains from LD
<table border="1">
<thead><tr><th></th><th style="text-align:center;">Turnout 34.8%</th><th>No change</th><th style="text-align:center;">South Camberwell Turnout 39.6%</th></tr></thead><tbody><tr><th>Cryan, Stephanie Ms.</th><th style="text-align:center;">LAB 1,370</th><th style="text-align:center;">King, Sarah Ms.</th><th style="text-align:center;">LAB 1,915</th></tr><tr><th rowspan="2">Whittam, Kathleen Ms.</th><th style="text-align:center;">LAB 1,348</th><th rowspan="2" style="text-align:center;">John, Peter*</th><th style="text-align:center;">LAB 1,853</th></tr><tr><th style="text-align:center;">LAB 1,244</th><th style="text-align:center;">Gonde, Christopher LAB 1,827</th></tr><tr><th rowspan="2">Williams, Bill Fearnley, James R.</th><th style="text-align:center;">LAB 934</th><th rowspan="2" style="text-align:center;">Margolies, Eleanor Ms.<br>Weedon, Susie Ms.</th><th style="text-align:center;">GRE 855 GRE 619 GRE 509 CON 421 CON 363 CON 351 LD 315 LD 283 LD 237 APP 176 IND 96 IND 70 IND 67 </th></tr><tr><th style="text-align:center;">LD 921</th></tr><tr><th>Nelson, Wilma Ms.* Hook, Jeff*</th><th style="text-align:center;">LD 860 Pheby, Ian P.</th><th style="text-align:center;">Barley, Emily J. Ms.<br>Fox, Damian G.<br>Davison, Graham<br>Hunt, Jonathan<br>Blango, Columba M.<br>Capstick, Denise M. Ms.<br>Hunte, Colin A.<br>Carruthers, Amy Ms.<br>Tillyard, James UKIP 561 GRE 497 CON 377 CON 357 CON 302 TUSC 109 TUSC 88 UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIP UKIPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK IPUK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPUNK/IPANK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/INK/IN
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>161</page_number>
<table>
<thead>
<tr>
<td>Surrey Docks<br>No change</td>
<td>Turnout 32.9%</td>
<td>Village<br>1 LAB gain from LD</td>
<td>Turnout 50.6%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hubber, David C.*<br>LD</td>
<td>1,039</td>
<td>Mitchell, Michael*</td>
<td>CON<br>1,604</td>
</tr>
<tr>
<td>Rajan, Lisa E. Ms.*<br>LD</td>
<td>837</td>
<td>Lyons, Jane B. Ms.</td>
<td>CON<br>1,572</td>
</tr>
<tr>
<td>Okosun, James<br>LD</td>
<td>780</td>
<td>Kirby, Anne G. Ms.</td>
<td>LAB<br>1,554</td>
</tr>
<tr>
<td>Bukenyá, Michael J.<br>LAB</td>
<td>712</td>
<td>Bradbury, David S.</td>
<td>CON<br>1,464</td>
</tr>
<tr>
<td>Stewart, Charles E.<br>LAB</td>
<td>697</td>
<td>Rice, Andrew</td>
<td>LAB<br>1,441</td>
</tr>
<tr>
<td>Anderson, John<br>CON</td>
<td>655</td>
<td>Taylor, Simon</td>
<td>LAB<br>1,380</td>
</tr>
<tr>
<td>Shillito, Imogen Ms.<br>LAB</td>
<td>632</td>
<td>Hilton, Robin A. C.</td>
<td>LD<br>948</td>
</tr>
<tr>
<td>Fox, Simon J.<br>CON</td>
<td>562</td>
<td>Halfyard, Adrian</td>
<td>GRE<br>577</td>
</tr>
<tr>
<td>Myers, Rupert E. F.<br>CON</td>
<td>548</td>
<td>Gurling, James C.</td>
<td>LD<br>549</td>
</tr>
<tr>
<td>Prescott, Toby<br>UKIP</td>
<td>502</td>
<td>Caldicott, Edmund</td>
<td>GRE<br>500</td>
</tr>
<tr>
<td>Kearns, Jacqueline E. Ms.<br>GRE</td>
<td>486</td>
<td>Jennings, David</td>
<td>GRE<br>470</td>
</tr>
<tr>
<td>Hellings, John<br>UKIP</td>
<td>468</td>
<td>Niazi, Harry</td>
<td>LD<br>405</td>
</tr>
<tr>
<td>Olivier, Jessica A. Ms.<br>GRE</td>
<td>360</td>
<td>King, Michael J.</td>
<td>UKIP<br>258</td>
</tr>
<table border="1">
<thead><tr><th>The Lane<br>No change</th><th></th><th></th><th></th></tr></thead><tbody><tr><td colspan="4">Turnout 35.5%</td></tr><tr><td>Ali, Jasmine Ms.</td><td style="text-align: right;">LAB<br style="color: #000;">2,369 </td><td style="text-align: left;"></td><td style="text-align: right;"></td></tr><tr><td>Dolezal, Nick*</td><td style="text-align: right;">LAB<br style="color: #000;">2,064 </td><td style="text-align: left;"></td><td style="text-align: right;"></td></tr><tr><td>Mohammed, Jamille*</td><td style="text-align: right;">LAB<br style="color: #000;">1,967 </td><td style="text-align: left;"></td><td style="text-align: right;"></td></tr><tr><td>Plodowski, Anna Ms.</td><td style="text-align: right;">GRE<br style="color: #000;">987 </td><td style="text-align: left;"></td><td style="text-align: right;"></td></tr><tr><td>Chance, Tom</td><td style="text-align: right;">GRE<br style="color: #000;">876 </td><td style="text-align: left;"></td><td style="text-align: right;"></td></tr><tr><td>Van Der Stoep, Remco</td><td style="text-align: right;">GRE<br style="color: #000;">681 </td><td style="text-align: left;"></ td><th rowspan="2" style="text-align: center;"><u>Southwark<u/></u></th></tr><tr><td>Foreman, Rebecca M. Ms.</td><td style="text-align: right;">CON<br style="color: #000;">457 </ td><th rowspan="2" style="text-align: center;"><u>Southwark<u/></u></th></tr><tr><td>Joseph, Barry N.</td><th style="text-align: right;">CON<br style="color: #000;">437 </th></tr><tr><td>Upadhyay, Ami Ms.</td><th style="text-align: right;">CON<br style="color: #000;">345 </th></tr><tr><td>Holder, Tom</td><th style="text-align: right;">LD<br style="color: #000;">291 </th></tr><tr><td>Giles, Tam Ms.</td><th style="text-align: right;">LD<br style="color: #000;">282 </th></tr><tr><td>Taylor, Kyle</td><th style="text-align: right;">LD<br style="color: #000;">201 </th></tr><tr><td>Konate, Lamine APP 162<th rowspan="2" style="text-align: center;"><u>Southwark<u/></u></th></tr></tbody></table>
---
<img>A table showing election results for Surrey Docks and The Lane boroughs in London Borough Council elections May 2014.</img>
| Surrey Docks | No change | Turnout 32.9% | Village | Turnout 50.6% |
|---|---|---|---|---|
| Hubber, David C.* | LD | 1,039 | Mitchell, Michael* | CON | 1,604 |
| Rajan, Lisa E. Ms.* | LD | 837 | Lyons, Jane B. Ms. | CON | 1,572 |
| Okosun, James | LD | 780 | Kirby, Anne G. Ms. | LAB | 1,554 |
| Bukenyá, Michael J. | LAB | 712 | Bradbury, David S. | CON | 1,464 |
| Stewart, Charles E. | LAB | 697 | Rice, Andrew | LAB | 1,441 |
| Anderson, John | CON | 655 | Taylor, Simon | LAB | 1,380 |
| Shillito, Imogen Ms. | LAB | 632 | Hilton, Robin A. C. | LD | 948 |
| Fox, Simon J. | CON | 562 | Halfyard, Adrian | GRE | 577 |
| Myers, Rupert E. F. | CON | 548 | Gurling, James C. | LD | 549 |
| Prescott, Toby | UKIP | 502 | Caldecott, Edmund | GRE | 500 |
| Kearns, Jacqueline E. Ms. | GRE | 486 | Jennings, David | GRE | 470 |
| Hellings, John | UKIP | 468 | Niazi, Harry | LD | 405 |
| Olivier, Jessica A. Ms. | GRE | 360 | King, Michael J. | UKIP | 258 |
---
<table border="1">
<thead><tr><th>The Lane<br>No change</th><th></th><th></th><th></th></tr></thead><tbody><tr><th colspan="4">Turnout 35.5%</th></tr><tr class='header_bottom_margin'><td colspan='4'></th></tr></tbody><tfoot></tfoot></table>
<table border="1">
<thead><tr><th>The Lane<br>No change</th><th></th><th></th><th></th></tr></thead><tbody><tr class='header_bottom_margin'><th colspan='4'></th></tr></tbody></table>
<table border="1">
<thead><tr class='header_bottom_margin'><th>Surrey Docks No change Hubber David C * Rajan Lisa E * Okosun James Bukenyá Michael J Stewart Charles E Anderson John Shillito Imogen Ms Fox Simon J Myers Rupert E F Prescott Toby Kearns Jacqueline E M Hellings John Olivier Jessica A Ms Turnout 32.9% Mitchell Michael * Lyons Jane B * Kirby Anne G * LAB gain from LD Lab Bradbury David S Rice Andrew Taylor Simon Hilton Robin A C Halfyard Adrian Gurling James C Caldecott Edmund Jennings David Niazi Harry King Michael J Turnout 50.6% CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab Lab LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LAB LABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLBALABLA LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALB LB ALBLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla Bla BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLa BLee e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee
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<table border=1 cellspacing=1 cellpadding=1 align=center>
<tr>
<th>Surrey Docks No change Hubber David C * Rajan Lisa E * Okosun James Bukenyá Michael J Stewart Charles E Anderson John Shillito Imogen Ms Fox Simon J Myers Rupert E F Prescott Toby Kearns Jacqueline E M Hellings John Olivier Jessica A Ms Turnout 32.9% Mitchell Michael * Lyons Jane B * Kirby Anne G * Laboratory Bradbury David S Rice Andrew Taylor Simon Hilton Robin A C Halfyard Adrian Gurling James C Caldecott Edmund Jennings David Niazi Harry King Michael J Turnout 50.6% Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con ConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConCOnLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLabLaboratory Bradbury David S Rice Andrew Taylor Simon Hilton Robin A C Halfyard Adrian Gurling James C Caldecott Edmund Jennings David Niazi Harry King Michael J Turnout 50.6% CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoN CoNCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCOnlablablablablablablablablablablablablablablablablablablablablablablablablablablablablaboratory Bradbury David S Rice Andrew Taylor Simon Hilton Robin A C Halfyard Adrian Gurling James C Caldecott Edmund Jennings David Niazi Harry King Michael J Turnout 50.6% conconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconconco n lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab lab laboratory Bradbury David S Rice Andrew Taylor Simon Hilton Robin A C Halfyard Adrian Gurling James C Caldecott Edmund Jennings David Niazi Harry King Michael J Turnout 50.6% con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con con co n lab lab lab lab lab lab lab lab lab lab lab lab lab lab laboratory Bradbury David S Rice Andrew Taylor Simon Hilton Robin A C Halfyard Adrian Gurling James C Caldecott Edmund Jennings David Niazi Harry King Michael J Turnout 50.6% co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n co n c o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo 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<page_number>162</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<img>Southwark</img>
**By-elections**
<table>
<thead>
<tr>
<td>Brunswick Park<br>10 March 2011</td>
<td>Turnout 34.2%</td>
<td>Peckham<br>25.5%</td>
<td>Turnout<br>No change</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Williams, Mark</strong><br>LAB<br>1,981</td>
<td colspan="2">No change<br>07 July 2011</td>
<td>No change</td>
</tr>
<tr>
<td>Heywood, Kate E. Ms.<br>LD<br>630</td>
<td>Brown, Chris<br>LAB<br>1,754</td>
<td rowspan="3">No change<br>554<br>86<br>63<br>46</td>
</tr>
<tr>
<td>Bentall, Jenny Ms.<br>GRE<br>231</td>
<td>Blake, Jennifer Ms.</td>
</tr>
<tr>
<td>Kitchen, Simon J.<br>CON<br>129</td>
<td>Atuona, Diana Ms.</td>
</tr>
<tr>
<td>Kelly, Brian J.<br>TUSC<br>70</td>
<td>Kelly, Brian J.<br>TUSC<br>63<br>Harvey-Evers, Jason<br>GRE</td>
</tr>
<tr>
<td colspan="4"><strong>Resignation of Friary, John J. (LAB)</strong><br><em>Death of Situ, Toyo A. (LAB)</em></td>
</tr>
<table>
<thead>
<tr>
<td>The Lane<br>05 May 2011</td>
<td>Turnout 39.6%</td>
<td rowspan="3">East Walworth<br>No change<br>29 November 2012</td>
<td rowspan="3">Turnout 25.4%</td>
</tr>
<tr>
<td colspan="2">No change</td>
</tr>
<tr>
<td>Davis, Rowenna Ms.<br>LAB<br>2,670</td>
<td>Lury, Rebecca Ms.</td>
</tr>
<tr>
<td>Plodowski, Anna M. Ms.<br>GRE<br>472</td>
<td rowspan="3">No change<br>LAB<br>1,259<br>LD<br>1,003<br>CON<br>94</td>
</tr>
<tr>
<td>Berhanu, Alex<br>LD<br>471</td>
<tr>
<td>Fox, Simon J.<br>CON<br>423</td>
<tr>
<td>Kelly, Brian J.<br>TUSC<br>107</td>
<tr>
<td colspan="4"><strong>Resignation of Rhoden, Keadean M. Ms. (LAB)</strong><br><em>Death of Morrissey, Helen Ms. (LAB)</em></td>
<tr>
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<table cellspacing="0" border="0">
<tbody><tr style="vertical-align:top;">
<th style="text-align:left;">Brunswick Park<br><small><strong></strong></small></th><th style="text-align:right;">Turnout 34.2%</th><th style="text-align:center;"><small><strong></strong></small></th><th style="text-align:center;">Peckham<br><small><strong></strong></small></th><th style="text-align:right;">Turnout<br><small><strong></strong></small></th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</th><th style="text-align:center;">No change</than="" td=""><table cellspacing="" border="">
<tbody><tr style='vertical-align:top;'>
<td colspan='3'> </table></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table/></body></html>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>163</page_number>
**Sutton**
Liberal Democrat administration
<img>Map of Sutton showing electoral wards and party preferences. The map is divided into two main areas: Sutton Central (top left) and Sutton South (bottom right). Each ward is color-coded to show the party preference:
- **Conservative**: Yellow
- **Liberal Democrat**: Light blue
- **Conservative/Liberal Democrat**: Green
The overall map shows that most wards are Liberal Democrat, with some Conservative pockets. The central area (Sutton Central) has a higher concentration of Liberal Democrats compared to Sutton South.</img>
Conservative
Liberal Democrat
Conservative/Liberal Democrat
**State of the parties, 1964-2014**
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>9</td>
<td>-</td>
<td>45</td>
<td>-</td>
<td>54</td>
<td>22.5.14</td>
<td>42.6</td>
<td>24.7</td>
<td>12.1</td>
<td>35.7</td>
<td>27.5</td>
</tr>
<tr>
<td>6.5.10</td>
<td>11</td>
<td>-</td>
<td>43</td>
<td>-</td>
<td>54</td>
<td>6.5.10</td>
<td>69.8</td>
<td>35.8</td>
<td>9.9</td>
<td>45.9</td>
<td>8.5</td>
</tr>
<tr>
<td>4.5.06</td>
<td>22</td>
<td>-</td>
<td>32</td>
<td>-</td>
<td>54</td>
<td>4.5.06</td>
<td>43.8</td>
<td>41.7</td>
<td>8.1</td>
<td>44.2</td>
<td>6.0</td>
</tr>
<tr>
<td>2.5.02</td>
<td>8</td>
<td>33</td>
<td>-</td>
<td>-</td>
<td>54</td>
<td>2.5.02</td>
<td>36.3</td>
<td>35.6</td>
<td>12.0</td>
<td>49.1</td>
<td>3.3</td>
</tr>
<tr>
<td>7.5.38</td>
<td>5</td>
<td>-</td>
<td>46</td>
<td>-</td>
<td>56</td>
<td>7.5.38</td>
<td>35.3</td>
<td>28.4</td>
<td>-<br/>51<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/>2<br/>3<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr><tr><th colspan="11">General statistics:</th></tr><tr><th>Electorate:</th><th colspan="9"></th></tr><tr><th></th><th colspan="9">Sutton London</th></tr><tr><th></th><th colspan="9">May 2014 146,169 5,878,824 May 2010 137,694 5,689,223</th></tr><tr><th>Resident population aged 18 and over:</th><th colspan="9"></th></tr><tr><th></th><th colspan="9">Mid 2014 149,000 6,597,100 Mid 2010 146,500 6,318,000 </th></tr><tr><th>Estimated % unemployed:</th><th colspan="9">2013/14 6.1 8.2 2009/10 5.8 9.1 </th></tr><tr><th>Band 'D' council tax:</th><th colspan="9">May 2014 £1,444 £1,302 May 2010 £1,451 £1,309 </th></tr></tbody></table>
**Sutton**
Electorate: May 2014 146,169; May 2010 137,694
Resident population aged 18 and over: Mid 2014 149,000; Mid 2010 146,500
Estimated % unemployed: 2013/14 6.1; 2009/10 5.8
Band 'D' council tax: May 2014 £1,444; May 2010 £1,451
<page_number>164</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Sutton**
| % share of the poll | Date | %poll | CON | LAB | LD | GRE | BNP | UKIP | IND | REA Others |
|---|---|---|---|---|---|---|---|---|---|---|
| Beddington North | 22.5.14 | 42.4 | 20.1 | 17.1 | 34.0 | 6.9 | -- | 21.9 | -- | -- |
| 6.5.10 | 70.6 | 34.9 | 11.6 | 46.2 | 7.4 | -- | -- | -- | -- |
| Beddington South | 22.5.14 | 40.9 | 30.9 | 13.2 | 32.5 | -- | -- | 23.4 | -- | -- |
| 6.5.10 | 66.9 | 41.1 | 11.1 | 42.2 | 5.6 | -- | -- | -- | -- |
| Belmont | 22.5.14 | 42.8 | 45.1 | 11.9 | 23.8 | -- | -- | 19.2 | -- | -- |
| 6.5.10 | 74.8 | 45.0 | 7.6 | 36.3 | -- | -- | -- | -- |
| Carshalton Central And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South And Clockhouse South AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUTH AND CLOCKHOUSE SOUT
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>165</page_number>
**Results**
<table>
<thead>
<tr>
<td>Sutton</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Beddington North</strong></td>
<td><strong>Turnout 42.4%</strong></td>
<td><strong>Carshalton Central</strong></td>
<td><strong>Turnout 48.5%</strong></td>
</tr>
<tr>
<td><em>No change</em></td>
<td></td>
<td><em>No change</em></td>
<td></td>
</tr>
<tr>
<td><strong>Ali, Pat Ms.*</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,299</strong></td>
<td><strong>Pollock, Hamish J.*</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,634</strong></td>
</tr>
<tr>
<td><strong>Mattey, Nick</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,290</strong></td>
<td><strong>Salter, Alan J.*</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,469</strong></td>
</tr>
<tr>
<td><strong>Piracha, Nighat Ms.</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,048</strong></td>
<td><strong>Whitehead, Jill L. Ms.*</strong></td>
<td><strong>LD</strong></td>
<td><strong>1,460</strong></td>
</tr>
<tr>
<td>Price, Leslie<br>Wortley, Hilary V. Ms.<br>Vamadeva, Anusha Ms.</td>
<td>UKIP<br>CON<br>CON</td>
<td>779<br>776<br>705</td>
<td>Higgs, Simon J.<br>Spirling, Arthur G.<br>Spirling, Penny Ms.</td>
<td>CON<br>CON<br>CON</td>
<td>1,077<br>989<br>974</td>
</tr>
<tr>
<td>Emirali, Leon V.<br>Gwynn, Sarah A. Ms.<br>Hughes, Margaret R. Ms.<br>Ahmad, Nawaz</td>
<td>CAN<br>LAB<br>LAB<br>LAB</td>
<td>673<br>654<br>600<br>570</td>
<td>Norman, Michael<br>Cawley, Michael J.<br>Onians, Margaret Ms.<br>Tate, Alan</td>
<td>UKIP<br>LAB<br>LAB<br>LAB</td>
<td>671<br>393<br>384<br>351</td>
</tr>
<tr>
<td>Hartfield, Joan M. Ms.<br>Hartfield, Frederick B.</td>
<td>CAN<br>CAN<br>CAN<br>CAN</td>
<td>257<br>235<br> ></td>
<td>Lindsay, Andrew<br>Suheimat, Mandi Ms.</td>
<td>CAN<br>CAN<br>CAN<br>CAN</td>
<td>></td>
</tr>
<tr>
<td><em>Beddington South </em></td>
<td><em>Turnout 40.9%</em></td>
<td></td>
<td>Dickenson, Ashley<br>Matusevics, Allan</td>
<td>CAN<br>TUSC</td>
<td>></td>
</tr>
<tr>
<td><em>No change </em></td>
<td></td>
<td></td>
<td></td>
<td>></td>
<td>></td>
</tr>
<tr>
<td>Joyce, Ed*</td>
<td><strong>LD</strong></td>
<td><strong>1,215</strong></td>
<td><em>No change </em></td>
<td>></td>
<td>></td>
</tr>
<tr>
<td>Garratt, Neil R.</td>
<td><strong>CON</strong></td>
<td><strong>1,120</strong></td>
<td><em>Carshalton South & Clockhouse </em></td>
<td>></td>
<td>></td>
</tr>
<tr>
<td>Abellan, Manuel</td>
<td><strong>LD</strong></td>
<td><strong>1,079</strong></td>
<td>></td>
<td>></td>
<td>></td>
</tr>
<tr style="border-top: 1px solid black;">
<th colspan="2">Simms, Jim<br>Okyucuac, Abdullah<br>Williams, Andy D.</th>
<th colspan="2">Crowley, Tim *</th>
<th colspan="2">CON ></th>
<th colspan="2">></th>
<th colspan="2">></th>
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<th colspan="2">></th>
<th colspan="2">> </table>
<tr style="border-top: 1px solid black;">
<th rowspan='3' style='text-align:center;'>Thomas, Alfred M.</table>
<tr style='border-bottom: 1px solid black;'>
<table style='width: 100%; border-collapse: collapse;'>
<tbody style='display: flex; justify-content: space-between; align-items: center;'>
<tr style='height: 30px;'>
<td style='width: 50%;'><span style='font-weight:bold;'>Belmont </span></table>
<tr style='border-top: 1px solid black;'>
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<table style='width: 50%; border-collapse: collapse;'>
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<table style='width: 50%; border-collapse: collapse;'>
<tbody style='display: flex; justify-content: space-between; align-items: center;'>
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<table style='width: 50%; border-collapse: collapse;'>
<tbody style='display: flex; justify-content: space-between; align-items: center;'>
<tr style='height: 30px;'>
<table style='width: 50%; border-collapse: collapse;'>
<tbody style='display: flex; justify-content: space-between; align-items: center;'>
<tr style='height: 30px;'>
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<tbody style='display:flex;'>
<page_number>166</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>Sutton</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Nonsuch<br>1 LD gain from CON</td>
<td>Turnout 48.8%</td>
<td>Sutton Central<br>No change</td>
<td>Turnout 38.5%</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bourne, Samantha J. Ms.</td>
<td>LD<br>1,744</td>
<td>Bartolucci, David<br>LD<br>1,480</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Broadbent, Richard F.</td>
<td>LD<br>1,570</td>
<td>Galligan, Vicent<br>LD<br>1,365</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Sangster, Daniel T.</td>
<td>LD<br>1,431</td>
<td>Mirhashem, Alii<br>LD<br>1,192</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Allen, Eric J.*</td>
<td>CON<br>1,361</td>
<td>Brothers, Emily A. M. Ms.<br>LAB<br>662</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Plant, Alan R.</td>
<td>CON<br>1,291</td>
<td>Grogan, Jake<br>UKIP<br>584</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Forzani, Rona A. Ms.</td>
<td>CON<br>1,226</td>
<td>Cornwell, Charles P.<br>CON<br>563</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Cowley, Howard W.</td>
<td>UKIP<br>901</td>
<td>Mansell, Charles J.<br>LAB<br>550</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Mullaney, Laura J. Ms.</td>
<td>LAB<br>408</td>
<td>Paulino, Vic<br>LAB<br>480</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Papadopoulos, Marcus S.</td>
<td>LAB<br>330</td>
<td>Cornwell, Nigel B.<br>CON<br>463</td>
<td></td>
<td></td>
<td></td>
<td></td><table><tbody><tr><th colspan="2">St. Heller No change Turnout 34.7%</th><th colspan="2">Sutton North Turnout 42.6%</th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><tr class="header_bottom_margin"><td rowspan="3">Crossby, Jean E. Ms.<br>Gonzalez, Martin<br>Hunt, Doug<br>Lyon, Michael G.</table>
<table border="1">
<thead style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th>Crossby, Jean E. Ms.</th><th style='text-align:left;'>LD</th><th style='text-align:right;'>1,195</th><strong>Sutton North No change Turnout 42.6%</strong><table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Gonzalez, Martin</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Hunt, Doug</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Lyon, Michael G.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Rosenbaum, Nicola Ms.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Keys, John</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Theobald, Andrew C.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Crowley, Lottie Ms.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Oliver, Alan H.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Huneke, Alison M. Ms.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Stonecot No change Turnout 42.0%</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Davey, Adrian C. *<br>Emmerson, Nick*</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Javelot, Miguel*</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Brown, Malcolm<br>Jarvis, Graham A.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Crawley, Loraine Ms.<br>Munsami, Sheena Ms.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Barlow, Victoria E. Ms.<br>Cornell, Tessa L. Ms.</strong> <table border='1' style='border-collapse: collapse;'>
<tbody style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:left;'>Lang, Bill<br>Booth, David J.<br>Najman, Livvy Ms.</strong> <table border='1' style='border-collapse: collapse;'>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>167</page_number>
<table>
<thead>
<tr>
<td>Sutton West<br>No change</td>
<td>Turnout 42.0%</td>
<td>Wallington South<br>No change</td>
<td>Turnout 43.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Burke, Kevin M.</td>
<td>LD<br>1,648</td>
<td>Hall, Colin C. *</td>
<td>LD<br>1,593</td>
</tr>
<tr>
<td>Mathys, Wendy G. L. Ms. *</td>
<td>LD<br>1,477</td>
<td>Mccoy, Jayne L. Ms. *</td>
<td>LD<br>1,558</td>
</tr>
<tr>
<td>Wales, Simon D. *</td>
<td>LD<br>1,424</td>
<td>Sadiq, Muhammad I.</td>
<td>LD<br>1,221</td>
</tr>
<tr>
<td>Butt, Richard J.</td>
<td>CON<br>836</td>
<td>Ayres, Steven J.</td>
<td>CON<br>825</td>
</tr>
<tr>
<td>Edwards, Mary A. Ms.</td>
<td>CON<br>815</td>
<td>Houghton, Marion Ms.</td>
<td>UKIP<br>694</td>
</tr>
<tr>
<td>Pritchard, Jonathan D.</td>
<td>CON<br>712</td>
<td>Wortley, Christopher E.</td>
<td>CON<br>649</td>
</tr>
<tr>
<td>Roberts, Glen P.</td>
<td>UKIP<br>540</td>
<td>Oduntan, Stephen K.</td>
<td>CON<br>571</td>
</tr>
<tr>
<td>Cook, Andy</td>
<td>LAB<br>501</td>
<td>Murray, David N.</td>
<td>KSHH<br>377</td>
</tr>
<tr>
<td>Ponto, Maria T. Ms.</td>
<td>LAB<br>448</td>
<td>Towler, David</td>
<td>LAB<br>374</td>
</tr>
<tr>
<td>Sinclair, Margaret Ms.</td>
<td>LAB<br>406</td>
<td>Theobald, Susan D. Ms.</td>
<td>LAB<br>358</td>
</tr>
<tr>
<td>Cornford, Frances E. Ms.</td>
<td>KSHH<br>358</td>
<td>Tomlinson, Maeve M. Ms.</td>
<td>LAB<br>283</td>
</tr>
<table border="1">
<thead><tr><th>The Wrythe<br>No change</th><th></th><th></th><th></th></tr></thead><tbody><tr><td>Morton, Callum N.</td><td>LD<br>1,341</td><td></td><td></td></tr><tr><td>Stears, Colin H. *</td><td>LD<br>1,337</td><td></td><td></td></tr><tr><td>Patel, Naibin Ms.</td><td>LD<br>1,199</td><td>No change</td><td></td></tr></tbody></table>
<table border="1">
<thead><tr><th rowspan="2">Wallington North<br>No change</th><th colspan="2">Turnout 44%</th><th rowspan="2">Turnout 43.7%</th></tr><tr><th></th><th></th></tr></thead><tbody><tr><td>Gordon, Sunita Ms. *</td><td>LD<br>1,363</td><td></td><td></td></tr><tr><td>Melican, Joyce H. Ms.</td><td>LD<br>1,317</td><td></td><td></td></tr><tr><td>Radford, Marian Ms.</td><td>LD<br>1,247</td><td colspan="2">1 LD gain from CON</td></tr><tr><td>Collum, Elliot H. G.</td><td>CON<br>1,033</td><td>Hookway, Arthur</td><td>LD<br>1,508</td></tr><tr><td>Mcdermott-Hill, James D.</td><td>CON<br>865</td><td>Marston, Richard G. P.</td><td>LD<br>1,455</td></tr><tr><td>Lander, Carole D. L. Ms.</td><td>UKIP<br>823</td><td>Fwingfield, Paul A.</td><td>LD<br>1,300</td></tr><tr><td>Giwa, Omoniyi Ms.</td><td>CON<br>737</td><td>Mackay, Stuart M.</td><td>CON<br>1,264</td></tr><tr><td>Rosenbaum, Victoria Ms.</td><td>LAB<br>470</td><td>Densley, Simon N.</td><td>CON<br>1,226</td></tr><tr><td>Smith, Richard C.</ td colspan="2"><table border="1">
<tbody>
<tr id="row_0"><th colspan="2"></th></tr>
<tr id="row_1"><th colspan="2">CON 1,146 2009 2010 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 </th></tr>
<tr id="row_1" class="header_bottom_margin"><th colspan="3"></th></tr>
<tr id="row_3" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_4" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_5" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_6" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_7" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_8" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_9" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_10" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_11" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_12" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_13" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_14" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_15" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_16" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_17" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_18" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_19" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_20" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_21" class="annotation_row"><th colspan="3">Smith (Greens) - Labour (Greens) - Conservative (Greens)</th></tr>
<tr id="row_2
<img>Sutton logo with "Sutton" written on it to the right of the table header row.</img>Sutton
<page_number>168</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
# Sutton
## By-elections
<table>
<thead>
<tr>
<td>Worcester Park<br>16 February 2012</td>
<td>Turnout 33.5%</td>
<td>Stonecot<br>06 December 2012</td>
<td>Turnout 24%</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>No change</td>
<td></td>
<td>No change</td>
</tr>
<tr>
<td>Roberts, Roger D. C.</td>
<td>LD<br>1,367</td>
<td>Emmerson, Nick</td>
<td>LD<br>1,034</td>
</tr>
<tr>
<td>Densley, Simon</td>
<td>CON<br>977</td>
<td>Jarvis, Graham</td>
<td>CON<br>402</td>
</tr>
<tr>
<td>Hosking, Hilary C. Ms.</td>
<td>LAB<br>315</td>
<td>Craven, Bonnie Ms.</td>
<td>LAB<br>289</td>
</tr>
<tr>
<td>Pickles, David</td>
<td>UKIP<br>190</td>
<td>Wraith, Jeremy</td>
<td>UKIP<br>182</td>
</tr>
<tr>
<td>Dow, George</td>
<td>GRE<br>46</td>
<td>Hartfield, Joan Ms.</td>
<td>GRE<br>32</td>
</tr>
<tr>
<td colspan="4">Resignation of Campbell-Klomps, Jennifer E. Ms. (LD)</td>
</tr>
<tr>
<td colspan="4">Resignation of Hudson, Brendan (LD)</td>
</tr>
</tbody>
</table>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>169</page_number>
**Tower Hamlets**
No overall control
Tower Hamlets First directly elected mayor
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>Bethnal Green</td>
<td>11</td>
<td>Mile End</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>2</td>
<td>Blackwall & Cubitt Town</td>
<td>12</td>
<td>Tophill Low</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>3</td>
<td>Bow East</td>
<td>13</td>
<td>Shadwell</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>4</td>
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> Bow West</th>
<td>5 Bromley North</th>
<td>15</th>
<td>St. Dunstan's</th>
<td>16</th>
<td>Saint Katherine's & Wapping's</th>
<td>7 Canary Wharf</th>
<td>8 Island Gardens</th>
<td>17</th>
<td>Peter's St.</th>
<td>9 Lansbury</th>
<td>18 Stepaney Green</th>
<td>10 Limehouse</th>
<td>19 Weaver's Green</th>
<td>20 Whitechapel</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td>Congestion Charge Zone (CCZ)</th>
<td colspan="2">Conservative/Labour First</table>
<img>A map of Tower Hamlets showing the wards and their party affiliations. The map is color-coded to show the party affiliation of each ward. The legend at the bottom left corner of the map shows the colors used: blue for Conservative, red for Labour, purple for Conservative/Labour, pink for Conservative/Tower Hamlets First, and orange for Labour/Tower Hamlets First. The map also includes a congestion charge zone in the center-left part of the map.</img>
Conservative
Labour
Conservative/Labour
Tower Hamlets First
Conservative/Tower Hamlets First
Labour/Tower Hamlets First
State of the parties, 1964-2014
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">22.5.14</th>
<th colspan="3">CON LAB LD other total</th>
<th rowspan="2">% poll CON LAB LD other</th>
<th colspan="3">% share of the poll, 1964-2014</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th>$\quad$22$\quad$ - $\quad$18$\quad$ $\quad$45$\quad$ </table>
<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">6.5.10<br/>4.5.06<br/>2.5.02<br/>7.5.98<br/>5.5.94<br/>3.5.90<br/>8.5.36<br/>6.5.82<br/>4.5.78<br/>4.5.74<br/>13.5.71<br/>9.5.68<br/>7.5.64</table>
General statistics
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Electorate</table>
<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Resident population aged 18 and over Mid Mid Mid Estimated % unemployed May May Band 'D' council tax May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May May MayMay 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'D' council tax 'Tower Hamlets London'</table>
<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">May 2014<br/>May 2010<br/>Mid Mid Mid Estimated % unemployed Mid/2013/14/2009/10 Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band Band BandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBandeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBendeBende Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bunde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde Bnde </table>
<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/2010/Mid/2013/14/2009/10/Band/D/council/tax/May/2014/May/201
<page_number>170</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>R Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bethnal Green</td>
<td>22.5.14</td>
<td>47.6</td>
<td>4.6</td>
<td>32.2</td>
<td>8.4</td>
<td>18.2</td>
<td>--</td>
<td>8.3</td>
<td>--</td>
<td>-- 28.3</td>
</tr>
<tr>
<td>Bethnal Green North</td>
<td>6.5.10</td>
<td>62.1</td>
<td>11.7</td>
<td>33.6</td>
<td>29.0</td>
<td>10.2</td>
<td>--</td>
<td>3.4</td>
<td>--</td>
<td>-- 12.2</td>
</tr>
<tr>
<td>Bethnal Green South</td>
<td>6.5.10</td>
<td>60.3</td>
<td>9.9</td>
<td>37.9</td>
<td>20.6</td>
<td>7.8</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>-- 23.8</td>
</tr>
<tr>
<td>Blackwall & Cubitt Town</td>
<td>3.7.14</td>
<td>31.6</td>
<td>28.9</td>
<td>31.8</td>
<td>2.3</td>
<td>3.3</td>
<td>-- 7.3</td>
<td>0.4 -- </td><td>-- 26.1 -- </td><td>-- 11.3 -- </td></tr>
<tr>
<td>Bow East</td>
<td>22.5.14</td>
<td>45.9</td>
<td>9.2</td>
<td>43.6</td>
<td>8.5</td>
<td>14.9 -- </td><td>-- -- </td><td>-- -- </td><td>-- -- </td><td>-- 23.8 -- </td></tr>
<tr>
<td>Bow West</td>
<td>22.5.14</td>
<td>52.3</td>
<td>10.8</td>
<td>44.7</td>
<td>6.6</td>
<td>11.2 -- </td><td>-- 12.5 -- </td><td>-- 14.2 -- </td><td>-- -- </td><td>-- 9.2 -- </td></tr>
<tr>
<td>Bromley North Bromley South Bromley-by-Bow Canary Wharf East India and Lansbury Island Gardens Lansbury Limehouse Mile End Mile End and Globe Town Mile End East Millwall Poplar Shadwell Spitalfields & Banjatown St Dunstan's St Dunstan's and Stepney Green St Katharine's & Wapping St Peter's Stepney Green Weavers Whitechapel 65.</table>
<table border="1">
<thead><tr><th></th><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/>Bethnal Green<br/>Bethnal Green North<br/>Bethnal Green South<br/>Blackwall & Cubitt Town<br/>Bow East<br/>Bow West<br/>Bromley North<br/>Bromley South<br/>Bromley-by-Bow<br/>Canary Wharf<br/>East India and Lansbury<br/>Island Gardens<br/>Lansbury<br/>Limehouse<br/>Mile End<br/>Mile End and Globe Town<br/>Mile End East<br/>Millwall<br/>Poplar<br/>Shadwell<br/>Spitalfields & Banjatown<br/>St Dunstan's St Dunstan's and Stepney Green<br/>St Katharine's & Wapping<br/>St Peter's Stepney Green Weavers Whitechapel 65.</th></tr></thead><tbody><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/>Bethnal Green<br/>Bethnal Green North<br/>Bethnal Green South<br/>Blackwall & Cubitt Town<br/>Bow East<br/>Bow West<br/>Bromley North<br/>Bromley South<br/>Bromley-by-Bow<br/>Canary Wharf<br/>East India and Lansbury<br/>Island Gardens<br/>Lansbury<br/>Limehouse<br/>Mile End<br/>Mile End and Globe Town<br/>Mile End East<br/>Millwall<br/>Poplar<br/>Shadwell<br/>Spitalfields & Banjatown<br/>St Dunstan's St Dunstan's and Stepney Green<br/>St Katharine's & Wapping<br/>St Peter's Stepney Green Weavers Whitechapel 65.</th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others<br/></th></tr><tr><th>Date %poll CON LAB LD GRE BNP UKIP IND R Others,<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><hr/>
<th colspan="10">Tower Hamlets LONDON BOROUGH COUNCIL ELECTIONS MAY 2014% share of the poll Date %poll CON LAB LD GRE BNP UKIP IND R Others Bethnal Green 22.5.14 47.6 4.6 32.2 8.4 18.2 - 8.3 - - 28.3 Bethnal Green North 6.5.10 62.1 11.7 33.6 29.0 10.2 - - 3.4 - 12.2 Bethnal Green South 6.5.10 60.3 9.9 37.9 20.6 7.8 - - - - 23.8 Blackwall & Cubitt Town 3.7.14 31.6 28.9 31.8 2.3 3.3 - 7.3 0.4 - - 26.1 Bow East 6.5.10 55.7 39.3 30.8 18.6 - - - - - - - Bow West 65.</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="10">Tower Hamlets LONDON BOROUGH COUNCIL ELECTIONS MAY 2014% share of the poll Date %poll CON LAB LD GRE BNP UKIP IND R Others Bethnal Green Bethnal Green North Bethnal Green South Blackwall & Cubitt Town Bow East Bow West Bromley North Bromley South Bromley-by-Bow Canary Wharf East India and Lansbury Island Gardens Lansbury Limehouse Mile End Mile End and Globe Town Mile End East Millwall Poplar Shadwell Spitalfields & Banjatown St Dunstan's St Dunstan's and Stepney Green St Katharine's & Wapping St Peter's Stepney Green Weavers Whitechapel
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="10">Tower Hamlets LONDON BOROUGH COUNCIL ELECTIONS MAY 2014% share of the poll Date %poll CON LAB LD GRE BNP UKIP IND R Others Bethnal Green Bethnal Green North Bethnal Green South Blackwall & Cubitt Town Bow East Bow West Bromley North Bromley South Bromley-by-Bow Canary Wharf East India and Lansbury Island Gardens Lansbury Limehouse Mile End Mile End and Globe Town Mile End East Millwall Poplar Shadwell Spitalfields & Banjatown St Dunstan's St Dunstan's and Stepney Green St Katharine's & Wapping St Peter's Stepney Green Weavers Whitechapel
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="10">Tower Hamlets LONDON BOROUGH COUNCIL ELECTIONS MAY 2014% share of the poll Date %poll CON LAB LD GRE BNP UKIP IND R Others Bethnal Green Bethnal Green North Bethnal Green South Blackwall & Cubitt Town Bow East Bow West Bromley North Bromley South Bromley-by-Bow Canary Wharf East India and Lansbury Island Gardens Lansbury Limehouse Mile End Mile End and Globe Town Mile End East Millwall Poplar Shadwell Spitalfields & Banjatown St Dunstan's St Dunstan's and Stepney Green St Katharine's & Wapping St Peter's Stepney Green Weavers Whitechapel
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="10">Tower Hamlets LONDON BOROUGH COUNCIL ELECTIONS MAY 2014% share of the poll Date %poll CON LAB LD GRE BNP UKIP IND R Others Bethnal Green Bethnal Green North Bethnal Green South Blackwall & Cubitt Town Bow East Bow West Bromley North Bromley South Bromley-by-Bow Canary Wharf East India and Lansbury Island Gardens Lansbury Limehouse Mile End Mile End and Globe Town Mile End East Millwall Poplar Shadwell Spitalfields & Banjatown St Dunstan's St Dunstan's and Stepney Green St Katharine's & Wapping St Peter's Stepney Green Weavers Whitechapel
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="10">Tower Hamlets LONDON BOROUGH COUNCIL ELECTIONS MAY 2014% share of the poll Date %poll CON LAB LD GRE BNP UKIP IND R Others Bethnal Green Bethnal Green North Bethnal Green South Blackwall & Cubitt Town Bow East Bow West Bromley North Bromley South Bromley-by-Bow Canary Wharf East India and Lansbury Island Gardens Lansbury Limehouse Mile End Mile End and Globe Town Mile End East Millwall Poplar Shadwell Spitalfields & Banjatown St Dunstan's St Dunstan's and Stepney Green St Katharine's & Wapping St Peter's Stepney Green Weavers Whitechapel
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>171</page_number>
Results
<table>
<thead>
<tr>
<th>Bethnal Green<br>New ward in 2014</th>
<th>Turnout 47.6%</th>
<th>Bow East</th>
<th>Turnout 45.9%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Whitelock Gibbs, Amy Ms.*<br>Islam, Sirajul*</td>
<td style="text-align: center;">LAB<br>2,911</td>
<td>No change</td>
<td style="text-align: right;">LAB<br>2,611</td>
</tr>
<tr>
<td>Haque, Shafiqul*</td>
<td style="text-align: center;">LAB<br>2,292</td>
<td>Blake, Rachel Ms.<br>Francis, Marc*</td>
<td style="text-align: right;">LAB<br>2,308</td>
</tr>
<tr>
<td>Gulaid, Abdirashid<br>Chowdhury, Babu<br>Ullah, Salim<br>Thorne, Chris</td>
<td style="text-align: center;">THF<br>2,048<br>1,792<br>1,652</td>
<td>Ali, Amina Ms.<br>Salam, Sabia Ms.<br>Rees, Lucy Ms.</td>
<td style="text-align: right;">LAB<br>2,023<br>989<br>977<br>935</td>
</tr>
<tr>
<td>Shajahan, Kamrun<br>Zsikhotska, Lubov</td>
<td style="text-align: center;">LD<br>UKIP</td>
<td>1,362<br>629<br>Penny, Cameron D. A.</td>
<td>Ambrose, Mickey<br>Hancocks, Tatyana G.</td>
<td style="text-align: right;">GRE<br>651<br>CON<br>520</td>
</tr>
<tr>
<td>Mak, Alan<br>Patel, Meera A. Ms.<br>Peers, Ellen K. Ms.<br>Heemskerk, Clive</td>
<td style="text-align: center;">CON<br>CON<br>TUSC<br>TUSC</td>
<td>460<br>330<br>327<br>254</td>
<td>Thompson, James<br>Chan, Stephanie W.<br>Spracklen, Andy<br>Paton, George A.</td>
<td style="text-align: right;">CON<br>496<br>455<br>TUSC</td>
</tr>
<tr>
<td>Kha'Lique, Taz</td>
<td style="text-align: center;">CON</td>
<td style="text-align: center;">238</td>
<td>Erlam, Andy</td>
<td style="text-align: right;">RF<br>129</td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<th colspan="3">Blackwall & Cubitt Town 2 LAB gains from CON</th>
<th>Bow West</th>
<th colspan="2">Turnout 52.3%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Chesterton, Dave</td>
<td style="text-align: center;">LAB<br>956</td>
<td></td>
<td></td>
<td style="text-align: right;"><i>I fewer seat in ward</i></td><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><i></i><br/></td>
</tr>
<tr>
<td>Chapman, Christopher J.</td>
<td style="text-align: center;">CON<br>877</td>
<td style="text-align: center;">Peck, Joshua*</td>
<td style="text-align: center;">LAB</td>
<td style="text-align: right;"><watermark>LAB 1,996</watermark></td><br/>
</tr>
<tr>
<td>Ronald, Candida Ms.</td>
<td style="text-align: center;">LAB<br>875</td>
<td style="text-align: center;">Begum, Asma</td>
<td style="text-align: center;">THF</td>
<td style="text-align: right;"><watermark>702</watermark></td><br/>
</tr>
<tr>
<td>Rahman, Anisur</td>
<td style="text-align: center;">LAB<br>872</td>
<td style="text-align: center;">Smith, Matt</td>
<td style="text-align: center;">CON</td>
<td style="text-align: right;"><watermark>627</watermark></td><br/>
</tr>
<tr>
<td>Thienel, Gloria R. Ms.*<br>Kasanga, Geeta M. Ms.</td>
<td style="text-align: center;">CON<br>815</td>
<td style="text-align: center;">Khan, Anwar A.*, Whitmore, Louise Ms.</td>
<td style="text-align: center;">IND</td>
<td style="text-align: right;"><watermark>619</watermark></td><br/>
</tr>
<tr>
<td>Khan, Faruk</td>
<td style="text-align: center;">THF</td>
<td style="text-align: center;">744</td>
<td style="text-align: center;"></td>
<td style="text-align: right;"><watermark>GRE 559 GRE 552 CON 441 LD 328</watermark></TD
<td rowspan="3" colspan="3" rowspan="3"><table border="1">
<tr id='__annotation___row_0_col_0'>
<td id='__annotation___cell_0_0' class='annotation'></th colspan='3' align='center'><b>Bromley North Turnout 51.9%</b></th
<tr id='__annotation___row_1_col_0'>
<td id='__annotation___cell_0_0' class='annotation'></th colspan='3' align='center'><b>New ward in 2014</b></th
<tr id='__annotation___row_2_col_0'>
<td id='__annotation___cell_0_0' class='annotation'></th colspan='3' align='center'><b>Ahmed, Khales U.* LAB 1,534 THF 1,247 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre 281 CON 219 LD 136 TUSC 76 Gre
<page_number>172</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Tower Hamlets**
| Bromley South | Turnout 49.4% | Limehouse | Turnout 48.3% |
|---|---|---|---|
| New ward in 2014 | | 2 fewer seats in ward | |
| Uddin, Helal | LAB | 1,565 | Aston, Craig* | CON | 786 |
| Hassell, Danny | LAB | 1,300 | Overton, Catherine Ms. | LAB | 730 |
| Choudhury, Syeda | THF | 1,290 | Ahmed, Mashuk | THF | 341 |
| Ali, Kobir | THF | 1,269 | Lomas, Matt | LD | 105 |
| Hancock, Ben | GRE | 343 | Hyland, David | UKIP | 104 |
| Thienel, Frank R. | CON | 270 | Mile End | Turnout 49.6% |
| Clarke, Stephen | LD | 252 | New ward in 2014 | |
| Rajgopal, Srikanth | CON | 153 |
**Canary Wharf** Turnout 36.5% New ward in 2014
| | Turnout 36.5% | Poplar | Turnout 49.6% |
|---|---|---|---|
| Wood, Andrew G. *CON | 869 Ali, Mohammed S. THF | Edgar, David* Saunders, Rachael Ms. *LAB | 2,315 2,268 2,139 |
| Miah, Md. M.*THF | 829 Ur-Zaman, Motin* LAB | Labib, Mustak THF | |
| Simone, Debbie Ms. LAB | 801 Syed, Mustak THF | Snowdon, Naomi Ms. CON | 1,796 |
| Hussain, Shubo LAB | 786 Hallett, Andy LD | Abdullah, Mushtak CON | 571 |
| Hussain, Ahmed CON | 782 Islam, Jewel CON | Choudhury, Hafiz IND | 446 |
| Cray, John THF | 592 Cafferty, Neil TUSC | Miah, Arzoo TUSC | 165 |
**Island Gardens** Turnout 43.3% New ward in 2014
| Golds, Peter *CON | Poplar New ward in 2014 |
|---|---|
| Cregan, Andrew LAB | Choudhury, Gulam K. THF |
| Thienel, Gloria Ms. CON | Chowdhury, Abdul K. LAB |
| Rahman, Raju LAB | Mignano, Anna M. Ms. UKIP |
| Uddin, Bellal THF | Robinson, James P. CON |
| Mc tasney, Kathy Ms. THF | Macmillan, Richard LD |
| Lochner, Wayne UKIP | Byron, Naomi R. Ms. TUSC |
| Oliver, Doug LD | St. Dunstan's Turnout 55.8% |
| Peers, John TUSC |
**Lansbury** Turnout 51.3% New ward in 2014
| Ahmed, Rajib*LAB | Miah, Ayas LAB |
|---|---|
| Khatun, Shiria Ms.*LAB | Alam, Mahbub M. THF |
| Ahmed, Ohid THF | Allah, Abdal* LAB |
| Smith, Dave LAB | Ahmed, Rofique U.* THF |
| Akthar, Shulyi THF | Kilbye, Chris GRE |
| Beckett, Stephen J. THF | Clarke, Charles W. M. CON |
| Shea, Paul UKIP | Bryan, Martin UKIP |
| Collins, Graham CON | Mascalci, Ben CON |
| Ingham, Paul W. E. CON | Choudhury, Abdul M. TPP |
| Mcgrath, Simon LD | Choudhury, Koyes U. LD |
| Riaz, Mohammed CON |
<page_number>193</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>173</page_number>
<table>
<thead>
<tr>
<td><strong>St. Katharine's & Wapping</strong><br>1 fewer seat in ward</td>
<td><strong>Turnout 46.3%</strong></td>
<td><strong>Spitalfields & Banglatown</strong><br>2 THF gains from LAB, 1 fewer seat in ward</td>
<td><strong>Turnout 43.7%</strong></td>
</tr>
</thead>
<tbody>
<tr>
<td>Dockerill, Julia L. Ms.<br>Jones, Denise Ms.*</td>
<td>CON<br>LAB</td>
<td>1,278<br>1,208</td>
<td>Robbani, Gulam *<br>Ahmed, Suluk</td>
<td>THF<br>THF</td>
<td>1,955<br>1,743</td>
</tr>
<tr>
<td>King, Neil A.</td>
<td>CON</td>
<td>1,156</td>
<td>Abbas, Helal U. *</td>
<td>LAB</td>
<td>1,215</td>
</tr>
<tr>
<td>Scott, Robert</td>
<td>LAB</td>
<td>956</td>
<td>Khan, Tarik<br>Thornton, Zachary</td>
<td>LAB</td>
<td>1,015</td>
</tr>
<tr>
<td>Miah, Ahad</td>
<td>THF</td>
<td>547</td>
<td>Emmerson, Jane E. Ms.</td>
<td>GRE<br>CON</td>
<td>485<br>349</td>
</tr>
<tr>
<td>Vernpin, John R.</td>
<td>GRE</td>
<td>440</td>
<td>Fell, David N.</td>
<td>CON<br>LD</td>
<td>259<br>219</td>
</tr>
<tr>
<td>Madewell, Stuart<br>Mills, Grenville<br>Denniston, John</td>
<td>UKIP<br>LD</td>
<td>353<br>319</td>
<td>North, Ferdy<br>Turvey, Jason E.</td>
<td>TUSC<br>TUSC</td>
<td>98<br>98</td>
</tr>
<table>
<thead>
<tr>
<td><strong>St. Peter's</strong><br>New ward in 2014</td>
<td><strong>Turnout 46.9%</strong></td>
<td><strong>Stepney Green</strong><br>New ward in 2014</td>
<td><strong>Turnout 54.9%</strong></td>
</tr>
</thead>
<tbody>
<tr>
<td>Miah, Abjol<br>Harrisson, Clare Ms.<br>Mustaqaim, Muhamed A.</td>
<td>THF<br>LAB<br>THF</td>
<td>2,289<br>2,089<br>2,088</td>
<td>Choudhury, Alibor *<br>Rahman, Oliur *</td>
<td>THF<br>THF<br>LAB</td>
<td>2,023<br>1,965<br>1,568</td>
</tr>
<tr>
<td>Zaman, Aktaruz<br>Gibbs, Carlo *</td>
<td>THF<br>LAB</td>
<td>1,935<br>1,914</td>
<td>Akhtar, Sabina Ms.<br>Obage, Victoria Ms.<br>Clarke, Hilary Ms.</td>
<td>LAB<br>GRE<br>UKIP</td>
<td>954<br>411<br>387</td>
</tr>
<tr>
<td>Miah, Sanu<br>Burgess, Paul<br>Cox, David<br>Khan, Azizur R.</td>
<td>LAB<br>GRE<br>GRE<br>LD</td>
<td>1,722<br>1,114<br>970<br>802</td>
<td>Mcqueen, Nicholas<br>Weilford, Chris<br>Mann, Hugo C.<br>Donkin, Martin P.</td>
<td>CON<br>TUSC<br>TUSC<br>TUSC</td>
<td>209<br>166<br>151<br>151</td>
</tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Weavers </strong><br><em style="font-size: smaller;">New ward in 2014 (fewer seat in ward)</em></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce, John*</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>TUSC (fewer seat in ward)</strong></th></tr>
<tr style="border-top: 1px solid black;">
<th colspan="4"><strong>Mukit, Abdul C.*<br>Pierce,</table>
<table id='table_0'>
<thead id='table_0__header'>
<tr id='table_0__header_row'>
<th rowspan='2' id='table_0__header_column_0'>Shadwell <br><em>New ward in 2014 (fewer seat in ward)</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>REA loss:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</em><br><em style='font-size: smaller;'>LAB losses:</em><br><em style='font-size: smaller;'>LAB gains:</end/></table>
<table id='table_0'>
<thead id='table_0__header'>
<tr id='table_0__header_row'>
<th rowspan='2' id='table_0__header_column_0'>Khan,Rabina Ms.* <br>Sherid,Mamun <br>Zaman,Farhana Ms.<br>Guttmann,Katy Ms.<br>Ellerbeck,D<end/></table>
<table id='table_0'>
<thead id='table_0__header'>
<tr id='table_0__header_row'>
<th rowspan='2' id='table_0__header_column_0'>Khan,Rabina Ms.* <br>Sherid,Mamun <br>Zaman,Farhana Ms.<br>Guttmann,Katy Ms.<br>Ellerbeck,D<end/></table>
<table id='table_0'>
<thead id='table_0__header'>
<tr id='table_0__header_row'>
<th rowspan='2' id='table_0__header_column_0'>Khan,Rabina Ms.* <div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<div class=tower_hamlet_label>Tower Hamlets </div>|<end/></table>
<table id='table_0'>
<thead id='table_0__header'>
<tr id='table_0__header_row'>
<th rowspan='2' id='table_0__header_column_0'>Khan,Rabina Ms.* <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3> </span> <span id=tabular_data_row_start rowspan=3> </span> <span id=tabular_data_row_end rowspan=3>&nb
<page_number>174</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
**Tower Hamlets**
<table>
<thead>
<tr>
<td>Whitechapel</td>
<td>Turnout 42.4%</td>
</tr>
</thead>
<tbody>
<tr>
<td>3 THF gains from LAB</td>
<td></td>
</tr>
<tr>
<td>Ali, Shahed*</td>
<td>THF<br>2,139</td>
</tr>
<tr>
<td>Asad, Abdul*</td>
<td>THF<br>2,117</td>
</tr>
<tr>
<td>Khan, Aminur*</td>
<td>THF<br>2,088</td>
</tr>
<tr>
<td>Ahmed, Farque M.</td>
<td>LAB<br>1,359</td>
</tr>
<tr>
<td>Robinson, Robert</td>
<td>LAB<br>1,190</td>
</tr>
<tr>
<td>Rahman, Jamalar</td>
<td>LAB<br>1,188</td>
</tr>
<tr>
<td>Crosbie, Maggie Ms.</td>
<td>GRE<br>703</td>
</tr>
<tr>
<td>Holden, Richard J.</td>
<td>CON<br>409</td>
</tr>
<tr>
<td>Glover, Dinah Ms.</td>
<td>CON<br>405</td>
</tr>
<tr>
<td>Griffiths, John D. M.</td>
<td>LD<br>358</td>
</tr>
<tr>
<td>Vandyce, Nicholas D. A.</td>
<td>CON<br>345</td>
</tr>
<tr>
<td>Mcnellis, Andrew J.</td>
<td>UKIP<br>199</td>
</tr>
<tr>
<td>Wrack, Michael</td>
<td>TUSC<br>139</td>
</tr>
</tbody>
</table>
---
**By-elections**
<table border="1">
<thead>
<tr><th>Mayoral election (first ever)<br>21 October 2010</th><th>Turnout 25.6%</th><th colspan="2">Spitalfields and Banglatown<br>19 April 2012<br>No change</th></tr>
<tr><th>Rahman, Lutfur</th><th>IND<br>23,283</th><th>Robbani, Gulam</th><th>IND<br>1,030</th></tr>
<tr><th>Abbas, Helal U.</th><th>LAB<br>11,254</th><th>Uddin, Ala</th><th>LAB<br>987</th></tr>
<tr><th>King, Neil</th><th>CON<br>5,348</th><th>Smith, Matthew J.</th><th>CON<br>140</th></tr>
<tr><th>Grieffths, John</th><th>LD<br>2,800</th><th>Blake, Kirsty Ms.</th><th>GRE<br>99</th></tr>
<tr><th>Duffell, Alan</th><th>GRE<br>2,300</th><th>Macmillan, Richard A.</th><th>LD<br>39</th></tr>
<tr><td colspan="4" style="text-align:center"><strong>Disqualification of Akhtar, Shelina Ms. (IND)</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>Spitalfields and Banglatown<br>16 December 2010<br>Turnout 16.8%</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>Weavers<br>03 May 2012<br>No change</strong></td></tr>
<tr><td>Miah, Fozol<br>Alim, Abdul<br>Smith, Matt<br>Crosbie, Maggie Ms.<br>North, Ferdy Ms.<br>Choudhury, Jewel</td><td style="text-align:right">RES gain from LAB<br style="font-size:smaller;">666<br style="font-size:smaller;">553<br style="font-size:smaller;">135<br style="font-size:smaller;">52<br style="font-size:smaller;">33<br style="font-size:smaller;">28</td><td>Pierce, John<br>Kerswell, Caroline J. Ms.<br>Duffell, Alan<br>Khan, Aizur R.<br>Rothschild, Oli<br style="font-size:smaller;">Resignation of Lynch, Anna S. Ms. (LAB)</td><td style="text-align:right">LAB<br style="font-size:smaller;">1,544<br style="font-size:smaller;">RES<br style="font-size:smaller;">1,260<br style="font-size:smaller;">CON<br style="font-size:smaller;">415<br style="font-size:smaller;">GRE<br style="font-size:smaller;">373<br style="font-size:smaller;">LD<br style="font-size:smaller;">208<br style="font-size:smaller;">IND<br style="font-size:smaller;">36</td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<tr><td colspan="4" style="text-align:center"><strong>No change for all candidates except those listed above.</strong></td></tr>
<table border="1">
<thead>
<tr><th>Tower Hamlets - Election Results - May 2014 - Turnout - First Time Candidates - Disqualification - No Change - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For All Candidates Except Those Listed Above - No Change For AllCandidatesExceptThoseListedAbove
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>175</page_number>
**Waltham Forest**
Labour administration
<img>Map of Waltham Forest showing electoral wards and party results. The map is divided into 16 electoral wards, each with a number indicating the percentage of the poll for Conservative (CON), Labour (LAB) and other parties. The map also shows the overall percentage of the poll for each party across all wards.</img>
Conservative
Labour
Conservative/Labour
State of the parties, 1964-2014
<table>
<thead>
<tr>
<td></td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
<td>total</td>
<td>% poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>other</td>
</tr>
</thead>
<tbody>
<tr>
<td>22.5.14</td>
<td>16</td>
<td>44</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>22.5.14</td>
<td>37.6</td>
<td>17.7</td>
<td>43.7</td>
<td>12.0</td>
<td>26.6</td>
</tr>
<tr>
<td>6.5.10</td>
<td>18</td>
<td>36</td>
<td>6</td>
<td>-</td>
<td>60</td>
<td>6.5.10</td>
<td>59.2</td>
<td>23.6</td>
<td>36.8</td>
<td>27.4</td>
<td>12.2</td>
</tr>
<tr>
<td>4.5.06</td>
<td>15</td>
<td>26</td>
<td>19</td>
<td>-</td>
<td>60</td>
<td>4.5.06</td>
<td>37.7</td>
<td>24.7</td>
<td>30.4</td>
<td>29.1</td>
<td>15.9</td>
</tr>
<tr>
<td>2.5.02</td>
<td>18</td>
<td>29</td>
<td>13</td>
<td>-</td>
<td>60</td>
<td>2.5.02</td>
<td>34.6%</td>
<td>24.8%</td>
<td>30.8%</td>
<td>-<br/>8.9%</td><br/>-<br/>8.9%
</tr>
<tr>
<td>7.5.98</td>
<td>15</td>
<td>30</td>
<td>12</td>
<td>-</td>
<td>60</td>
<td>-<br/>7.5.98<br/>34.2%</br/></br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.2%</br/>34.<table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>/table/></tr><tr><td>5.5.94</td><td>16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">16<br/><table border="1"><tbody><tr><td colspan="5">...</table/></tfoot></tab
176 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
% share of the poll
<table>
<thead>
<tr>
<td></td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Cann Hall</td>
<td>22.5.14</td>
<td>35.0</td>
<td>6.9</td>
<td>51.2</td>
<td>25.9</td>
<td>12.1</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td><span style="color: #0000FF;">4.0</span></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>55.2</td>
<td>10.5</td>
<td>42.5</td>
<td>37.9</td>
<td>9.1</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Cathall</td>
<td>22.5.14</td>
<td>31.1</td>
<td>6.4</td>
<td>62.9</td>
<td>6.4</td>
<td>11.8</td>
<td>--</td>
<td>9.3</td>
<td>--</td>
<td>--</td>
<td><span style="color: #0000FF;">3.2</span></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>51.1</td>
<td>10.2</td>
<td>47.6</td>
<td>34.3</td>
<td>7.9</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Chapel End</td>
<td>22.5.14</td>
<td>37.6</td>
<td>11.1</td>
<td>43.5</td>
<td>14.3</td>
<td>14.7</td>
<td>--</td>
<td>11.5</td>
<td>--</td>
<td>--</td>
<td><span style="color: #0000FF;">4.8</span></td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>60.1</td>
<td>14.7</td>
<td>35.4</td>
<td>22.8</td>
<td>9.5</td>
<td>--</td>
<td>5.2</td>
<td>12.3</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Chingford Green </td><th colspan="2">22.5.14<br><span style="color: #008080;">39.9<br><span style="color: #008080;">40.9<br><span style="color: #008080;">67.7<br><span style="color: #008080;">62.9<br><span style="color: #008080;">67.3<br><span style="color: #008080;">54.4<br><span style="color: #008080;">59.0<br><span style="color: #008080;">59.0<br><span style="color: #008080;">54.4<br><span style="color: #008080;">54.</th><th colspan="2"><span style="color: #FFAFAF;">16.5<br><span style="color: #FFAFAF;">6.8<br><span style="color: #FFAFAF;">17.8<br><span style="color: #FFAFAF;">19.</th><th colspan="2"><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;">--<br><span style="color: #FFAFAF;"><strong class="">71.</strong></th></tr>
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<table cellspacing=& quot;"断"断"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"段"
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>177</page_number>
**Results**
<table>
<thead>
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<th>Cann Hall<br>1 LAB gain from LD</th>
<th>Turnout 35.0%</th>
<th>Chingford Green<br>No change</th>
<th>Turnout 39.9%</th>
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<td><strong>Rayner, Keith</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,779</strong></td>
<td><strong>Davis, Matt</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,659</strong></td>
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<td><strong>Edwards, Patrick</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,682</strong></td>
<td><strong>Hemsted, Andy *</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,624</strong></td>
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<td><strong>Littlejohn, Sally Ms.</strong></td>
<td><strong>LAB</strong></td>
<td><strong>1,640</strong></td>
<td><strong>Halebi, Nick</strong></td>
<td><strong>CON</strong></td>
<td><strong>1,476</strong></td>
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<td>Phillips, Liz Ms. *</td>
<td>LD</td>
<td>985</td>
<td>Levin, Martin</td>
<td>UKIP</td>
<td>915</td>
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<td>Alexander, Rupert A.</td>
<td>LD</td>
<td>837</td>
<td>Blay, Jeffrey G.</td>
<td>LAB</td>
<td>700</td>
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<td>Trett, Adrian J.</td>
<td>LD</td>
<td>756</td>
<td>Dore, Martin J.</td>
<td>LAB</td>
<td>628</td>
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<td>Howie, Pat Ms.</td>
<td>GRE</td>
<td>401</td>
<td>Weeks, Neil J.</td>
<td>LAB</td>
<td>588</td>
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<td>Gouveia, Guilherme G. R. D.</td>
<td>CON</td>
<td>264</td>
<td>Carder, Joan M. Ms.</td>
<td>LD</td>
<td>262</td>
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<td>Nott, Christopher J.</td>
<td>CON</td>
<td>226</td>
<td>Above, None O. T.</td>
<td>IND</td>
<td>204</td>
</tr>
<tr>
<td>Leport, Joseph<br>Laker-Mansfield, Claire Ms.</td>
<td>CON<br>TUSC</td>
<td>196<br>134</td>
<td>Mudie, Kathleen G. Ms.<br>Thain, Manny<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC<br>TUSC...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...<br>tusc...</table>
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<th colspan="3" style="font-size: 1.5em;">Results</th><th style="font-size: 1.5em;">Waltham Forest</th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></th><th style="font-size: 1.5em;"></table>
<table border='0' cellspacing='0' cellpadding='0'>
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<th colspan='3' align='left'>Asghar, Naheed * <hr/></table>
<table border='0' cellspacing='0' cellpadding='0'>
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<th colspan='3' align='left'>Wheeler, Terry * <hr/></table>
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<th colspan='3' align='left'>Highfield, S.K.A.* <hr/></table>
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<th colspan='3' align='left'>Roberts, Clyn L.<hr/></table>
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<th colspan='3' align='left'>Moorhead, Sue Ms.<hr/></table>
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<th colspan='3' align='left'>Howard, John C.<hr/></table>
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<th colspan='3' align='left'>Chatfield, Carol O. Ms.<hr/></table>
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<th colspan='3' align='left'>Kitson, Clyde<hr/></table>
<table border='0' cellspacing='0' cellpadding='0'>
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<th colspan='3' align='left'>Caikirgoz, Erol K.<hr/></table>
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<th colspan='3' align='left'>Leport, Jerry E. H.<hr/></table>
<table border='0' cellspacing='0' cellpadding='0'>
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<th colspan='3' align='left'>Bertram, Pam Ms.<hr/></table>
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<th colspan='3' align='left'>Ratnaseelan, Marijerla<hr/></table>
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<th colspan='3' align='left'>Mitchell, Louise C. Ms.<hr/></table>
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<th colspan='3' align='left'>Douglas, Paul L * <hr/></table>
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<th colspan='3' align='left'>Terry, Steve <hr/></table>
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<th colspan='3' align='left'>Goodman, James N.<hr/></table>
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<th colspan='3' align='left'>Wheat, Sue Ms.<hr/></table>
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<th colspan('3') align= 'left'>Raja, Tulat M.<hr/></table>
<table border 'border ' cellspacing 'cellspacing ' cellpadding 'cellpadding 'align 'center 'style 'text-align : center ; width : auto ; height : auto ;'><tbody ><tr ><td >Meisznér , Sean <hr/></table>
<table border 'border ' cellspacing 'cellspacing ' cellpadding 'cellpadding 'align 'center 'style 'text-align : center ; width : auto ; height : auto ;'><tbody ><tr ><td >Burton , Elliott <hr/></table>
<table border 'border ' cellspacing 'cellspacing ' cellpadding 'cellpadding 'align 'center 'style 'text-align : center ; width : auto ; height : auto ;'><tbody ><tr ><td >Chisholm-Benli , Judith Ms.<hr/></table>
<table border 'border ' cellspacing 'cellspacing ' cellpadding 'cellpadding 'align 'center 'style 'text-align : center ; width : auto ; height : auto ;'><tbody ><tr ><td >Sargent , Kieran <hr/></table>
<table border 'border ' cellspacing 'cellspacing ' cellpadding 'cellpadding 'align 'center 'style 'text-align : center ; width : auto ; height : auto ;'><tbody ><tr ><td >Watson , Glenroy <hr/></table>
<table border = "border" cellspacing = "cellspacing" cellpadding = "cellpadding" align = "center" style = "text-align:center; width:auto;height:auto;" >
<thead >
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<th rowspan = "2">No change </thead >
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<th rowspan = "2">Turnout 37.6% </thead >
<tbody >
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<th rowspan = "2">Dhedhi , Shabana Ms.<hr/></thead >
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<th rowspan = "2">Labberi , Kastriot* <hr/></thead >
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<th rowspan = "2">Lyons , Gerry* <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<th rowspan = "2">LAB <hr/></thead >
<tbody >
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<page_number>178</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td rowspan="2">Waltham Forest</td>
<td rowspan="2"></td>
<td rowspan="2">Grove Green<br>No change</td>
<td colspan="3">Turnout 37.1%</td>
<td colspan="3">High Street<br>1 LAB gain from LD</td>
<td colspan="3">Turnout 40.9%</td>
</tr>
<tr>
<td>LAB</td>
<td>1,858</td>
<td>Coghill, Clare Ms.*</td>
<td>LAB</td>
<td>2,510</td>
<td></td>
<td>LAB</td>
<td>2,191</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Robbins, Chris*</td>
<td>LAB</td>
<td>1,751</td>
<td>Anwar, Raja</td>
<td>LAB</td>
<td>2,095</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Mbachu, Anna Ms.*</td>
<td>LAB</td>
<td>1,866</td>
<td>Ali, Liaquat*</td>
<td>LAB</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Limbajee, Khevyn*</td>
<td></td>
<td></td>
<td>Hussain, Mahmood A.*</td>
<td>LD</td>
<td>741</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Mahmood, Imran K.</td>
<td>LD</td>
<td>1,009</td>
<td>Wheatley, Robert J.</td>
<td>LD</td>
<td>728</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Masood, Naser</td>
<td>LD</td>
<td>865</td>
<td>Greenfield, Harry A.</td>
<td>GRE</td>
<td>708</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Iles, Andre M.</td>
<td>LD</td>
<td>856</td>
<td>Cetin, Nelia M. Ms.</td>
<td>LD</td>
<td>618</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Measure, Bill</td>
<td>GRE</td>
<td>507</td>
<td>Bamber, Michael D.</td>
<td>CON</td>
<td>314</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> TUSC<br> <span style="color:red;">IND<br> </span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><span style="color:red;">IND<br>></span><table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan='2'>Rackham, Sheree L. Ms.*<table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan='2'>Bell, Tony<table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan='2'>Braham, Paul R.*<table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan='2'>Sunger, Darshan S.*<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Bottomley, Simon P.<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Lloyd, Jonathan<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Brock, Robert<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Redwood, Rebecca Ms.<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Mcgarry, Gerry<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Smith-Pryor, Sheila Ms.<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Morgan, Jane E. Ms.<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Byrne, Danny<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Hatch Lane<table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan='2'>Fitzgerald, Marion J. Ms.*<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Walker, Geoffrey A.*<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>James, Tim R.<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Garrett, Stephen R.<table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan='2'>Hillman, Paul<table cellspacing='0' cellpadding='0' border='0'>
<tbody>
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<th rowspan='2'>Russell, Nicholas L.<table cellspacing='0' cellpadding='0' border='0'>
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<th rowspan '2'>Tamat, Robert F.<table cellspacing ' 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 <tbody > <tr > <th > TUSC </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <tbody > <tr > <th > TUSC </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > <th > IND </th > </tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr ></tbody ></tr .
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<page_number>179</page_number>
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<td>Larksworth<br>No change</td>
<td>Turnout 36.5%</td>
<td>Leytonstone<br>No change</td>
<td>Turnout 38.8%</td>
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<td>Moss, John J. C.*<br>CON</td>
<td>1,428<br>LAB</td>
<td>Loakes, Clyde*<br>Pye, Marie Ms.*<br>LAB</td>
<td>LAB<br>1,979<br>1,947</td>
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<td>Mill, Bernadette C. Ms.*<br>CON</td>
<td>1,421<br>LAB</td>
<td>Gray, Jenny Ms.*<br>LAB</td>
<td>LAB<br>1,905</td>
</tr>
<tr>
<td>Balkan, Millie E. Ms.<br>CON</td>
<td>1,401<br>UKIP</td>
<td>Dawes, Mark S.<br>Ahmed, Suleman N.</td>
<td>GRE<br>LD</td>
<td>700<br>652</td>
</tr>
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<td>Garrett, Anne Ms.<br>LAB</td>
<td>956<br>LAB</td>
<td>Faiz, Faiz<br>LD</td>
<td>598<br>LD</td>
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<td>Hayes, Noel A.<br>LAB</td>
<td>916<br>LAB</td>
<td>Mirza, Sadia<br>LD</td>
<td>566<br>LD</td>
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<td>Jackson, Henrietta A. Ms.<br>LAB</td>
<td>859<br>LAB</td>
<td>Sullivan, Jennifer E. Ms.<br>NLP<br>TUSC</td>
<td>CON<br>TUSC<br>TUSC</td>
<td>473<br>379<br>190</td>
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<td>King, Richard<br>UKIP</td>
<td>780<br>UKIP</td>
<td>Alt, David A.<br>Samuel-Leport, Molly I. Ms.<br>Muna, Suzanne Ms.</td>
<td>CON<br>TUSC<br>TUSC</td>
<td>427<br>379<br>180</td>
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<td>Sullivan, Jennifer E. Ms.<br>NLP<br>TUSC</td>
<td>154<br>TUSC</td>
<td>Hockey, Len<br>Taylor, Aidan N.</td>
<td>TUSC<br>TUSC</td>
<td>129<br>TUSC</td>
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<tr><th colspan="2">Lea Bridge<br>No change</th><th colspan="2">Turnout 31.2%</th></tr>
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<tr><th>Ahmad, Masood*</th><th>LAB</th><th>2,259<br>Makhouse</th><th></th></tr>
<tr><th>Ashgar, Mohammad<br>Osho, Yemi</th><th>LAB</th><th>2,020<br>No change</th><th></th></tr>
<tr><th>Barrat, Rachel S. Ms.</th><th>GRE</th><th>619<br>Khan, Johar</th><th></th></tr>
<tr><th>Andrews, Kay-Lorraine Ms.</th><th>LD</th><th>429<br>Mahmood, Asim*</th><th></th></tr>
<tr><th>Cantwell, Jenny Ms.</th><th>CON</th><th>379<br>Mahmood, Claire Ms.</th><th></th></tr>
<tr><th>Kayani, Azhar M.</th><th>LD</th><th>375<br>Murphy, Stephen J.</th><th></th></tr>
<tr><th>Berg, Christopher P.</th><th>CON</th><th>370<br>Lake, Matt</th><th></th></tr>
<tr><th>Lobo, Carsten M. A.</th><th>CON</th><th>289<br>Gillman, Dan</th><th></th></tr>
<tr><td rowspan="2">Reynolds, Martin S.<br>Nocek, Marcin J.</td><td rowspan="2">TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LD TUSC LEYTON 3 LAB gains from L.D.</table>
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<tr><td>Leyton<br>No change from LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON LAB gain from CON Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Con Lab Gain From Co
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<th style='text-align: left;'>Larksworth No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Mosj John J. C.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Mill Bernadette C. Ms.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Balkan Millie E. Ms.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Garrett Anne Ms.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Hayes Noel A.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Jackson Henrietta A. Ms.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>King Richard * <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Sullivan Jennifer E. Ms.* <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Carey Bob * <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Pattison Ian * <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Lea Bridge * <strong style='text-align: left;'>No change </strong></table style='text-align: left;'> <strong style='text-align: left;'>Ahmad Masood* * <strong style='align:left'>LAB 2,259 Makhouse * <strong style='align:left'>LAB 2,020 No change * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 20.0% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strong style='align:left'>LAB 34.2% * <strongstyle align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right' align:right:'right'</table>'
<th colspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=6 rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrowspanspanrow spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangroup spangle group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group group goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup goup
<th colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span colspan span
<th col="">Leytonstone No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change No change Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange Nochange
<th col="">Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout Turnout TurnOut
<th col="">Turn turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnout turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turnover turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out turn out
<th col="">Turnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturnturn
<th col="">Turnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturnoturno
<th col="">TurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnouTurnou
<th col="">TouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTouscTousc
<th col="">LWaltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest Waltham Forest
<th col="">WALTHAM FOREST
<th col="">WALTHAM FOREST
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<page_number>180</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<img>Waltham Forest</img>
William Morris
No change
Williams, Grace M. Ms.
LAB 2,441
Ali, Nadeem*
LAB 2,421
Emmerson, Stuart
LAB 2,287
Davies, Huw P. T.
GRE 724
Farooq, Ummer
UKIP 333
Cook, Jamie L.
LD 317
Hemsted, Gillian J. Ms.
CON 290
Vero, Sheila A. Ms.
CON 256
Jovicic, Mladen
CON 233
Iqbal, Qaisar
LD 222
Mitchell, Paula J. Ms.
TUSC 185
Kayani, Muhammad I.
LD 176
Douglas, Kenneth S.
TUSC 149
Mcclinton, Michael G.
TUSC 142
Wood Street
No change
Bean, Angie Ms.*
LAB 2,267
Barnett, Peter J.*
LAB 2,120
Sweden, Richard C. *
LAB 1,999
Balkan, Ismet
CON 825
Alavi, Abdul W.
CON 818
Soininen, Riitta H. Ms.
CON 693
Payne, Roger M.
GRE 626
Cox, Bob
UKIP 402
Mahmood, Naila Ms.
LD 201
Hawksbee, Lee
TUSC 190
Poole, Stephen J.
TUSC 188
Hussain, Maqsood A.
LD 173
Masih, Sahar
LD 135
By-elections
Larkswood Turnout 24.4%
12 July 2012 No change
Moss, John CON 1,392
Woodrow, Peter LAB 472
Woolnough, Graham LD 79
Measure, Bill GRE 70
O'Rourke, James NLP 64
Resignation of Northover, Edwin J. (CON)
<img>Waltham Forest</img>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>181</page_number>
**Wandsworth**
Conservative administration
<img>A map of Wandsworth showing the results of the 2014 local elections. The map is divided into electoral wards, each represented by a different colour. The colours are as follows:
- Conservative: Light blue
- Labour: Red
- Conservative/Labour: Purple
The ward boundaries are also shown in black.
The ward names are listed below the map:
1. Balham
2. Bedfont
3. Earlsfield
4. East Putney
5. Fairfield
6. Furzedown
7. Graveney
8. Latchmere
9. Nightingale
10. Northcote
11. Queenstown
The results for each ward are as follows:
- Balham: 12 Roehampton and Putney Heath (Conservative)
- Bedfont: 13 Shaffersbury (Labour)
- Earlsfield: 14 Southfields (Labour)
- East Putney: 15 St. Mary's Park (Labour)
- Fairfield: 16 Thamesfield (Labour)
- Furzedown: 17 Tooting (Labour)
- Graveney: 18 Wandsworth Common (Labour)
- Latchmere: 19 West Hill (Labour)
- Nightingale: 20 West Putney (Labour)
- Northcote: 21 (Labour)
- Queenstown: 22 (Labour)
The overall results are as follows:
- Total: 60 (Labour) - 39.8% (Labour) - 31.9% (Conservative) - 7.2% (Other) - 21.1% (Conservative/Labour)
</img>
State of the parties, 1964-2014
<table>
<thead>
<tr>
<th></th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.514</td>
<td>41</td>
<td>19</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>22.514</td>
<td>36.9</td>
<td>39.8</td>
<td>31.9</td>
<td>7.2</td>
<td>21.1</td>
</tr>
<tr>
<td>6.510</td>
<td>47</td>
<td>13</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>6.510</td>
<td>62.7</td>
<td>45.8</td>
<td>38.2</td>
<td>16.5</td>
<td>9.5</td>
</tr>
<tr>
<td>45.06</td>
<td>51</td>
<td>9</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>45.06</td>
<td>34.1</td>
<td>51.2</td>
<td>38.3</td>
<td>14.7</td>
<td>8.8</td>
</tr>
<tr>
<td>25.02</td>
<td>50</td>
<td>10</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>25.02</td>
<td>39.7</td>
<td>49.3</td>
<td>30.9</td>
<td>10.9</td>
<td>8.8</td>
</tr>
<tr>
<td>7.598</td>
<td>50</td>
<td>11</td>
<td>-</td>
<td>-</td>
<td>61</td>
<td>7.598</td>
<td>39.4</td>
<td>52.7</td>
<td>35.6</td>
<td>8.3</td>
<td>3.4</td>
</tr>
<tr>
<td>5.594</td>
<td>45</td>
<td>16</td>
<td>-</td>
<td>-</td>
<td>61</td>
<td>5.594</td>
<td>50.0</td>
<td>49.4</td>
<td>39.1</td>
<td>8.8</td>
<td>2.7</td>
</tr>
<tr>
<td>3.530</td>
<td>48</td>
<td>13</td>
<td>-</td>
<td>-</td>
<td>61</td>
<td>3.530</td>
<td>56.5%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td >dd< td > dd < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br < br \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \ n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n
182 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td></td>
<td colspan="13">% share of the poll</td>
</tr>
<tr>
<td></td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA</td>
<td>Others</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Balham</td>
<td>22.5.14</td>
<td>34.6</td>
<td>47.1</td>
<td>23.3</td>
<td>8.9</td>
<td>15.3</td>
<td>-</td>
<td>5.4</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>67.1</td>
<td>50.0</td>
<td>21.7</td>
<td>18.5</td>
<td>9.7</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Bedford</td>
<td>22.5.14</td>
<td>39.5</td>
<td>37.7</td>
<td>37.3</td>
<td>6.3</td>
<td>13.7</td>
<td>-</td>
<td>5.0</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>64.8</td>
<td>42.2</td>
<td>31.3</td>
<td>18.2</td>
<td>8.3</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Earlswield</td>
<td>22.5.14</td>
<td>38.3</td>
<td>38.7</td>
<td>34.2</td>
<td>6.5</td>
<td>13.7</td>
<td>-</td>
<td>6.9</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>64.5</td>
<td>46.8</td>
<td>25.8</td>
<td>17.0</td>
<td>10.4</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<th colspan="2">East Putney<br>Fairfield<br>Furzedown<br>Gaveney<br>Latchmere<br>Nightingale<br>Nothnote<br>Queenstown<br>Roehampton and Putney Heath<br>St. Mary's Park<br>Schaftesbury<br>Southfields<br>Theamesfield<br>Tooting<br>Wandsworth Common<br>West Hill<br>West Putney<br></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></ths><ths colspan="2"></thesis<th colspan="3" rowspan="1">Wandsworth
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>183</page_number>
**Results**
<table>
<thead>
<tr>
<td>Balham</td>
<td>Turnout 34.6%</td>
<td>East Putney</td>
<td>Turnout 35.8%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Usher, Caroline H. M. I. Ms. *</td>
<td>CON<br>2,150</td>
<td>McDonnell, Leslie F. *</td>
<td>CON<br>2,261</td>
</tr>
<tr>
<td>Saler, Clare D. W. Ms.</td>
<td>CON<br>2,052</td>
<td>Crivelli, Luigi G.</td>
<td>CON<br>2,233</td>
</tr>
<tr>
<td>Ellis, John P. *</td>
<td>CON<br>2,041</td>
<td>Govindia, Ravindra P. *</td>
<td>CON<br>2,134</td>
</tr>
<tr>
<td>Hyland, Caroline C. Ms.</td>
<td>LAB<br>1,126</td>
<td>Fianagan, Eileen A. Ms.</td>
<td>LAB<br>1,050</td>
</tr>
<tr>
<td>Mcdonald, Alan J.</td>
<td>LAB<br>1,095</td>
<td>Gibbons, Joseph</td>
<td>LAB<br>937</td>
</tr>
<tr>
<td>Powell, Toby P. J.</td>
<td>LAB<br>869</td>
<td>Knowles, Robert</td>
<td>LAB<br>858</td>
</tr>
<tr>
<td>Vitelli, Siobhan M. Ms.</td>
<td>GRE<br>676</td>
<td>Morris, Richard J.</td>
<td>GRE<br>644</td>
</tr>
<tr>
<td>Cronin, Muriel B. Ms.</td>
<td>LD<br>419</td>
<td>Miucci-Casale, Fernanda G. Ms.</td>
<td>LD<br>501</td>
</tr>
<tr>
<td>Green, Matthew C.</td>
<td>LD<br>370</td>
<td>Shocket, Godfrey S.</td>
<td>LD<br>402</td>
</tr>
<tr>
<td>Brockman, Ralph W. D.</td>
<td>UKIP<br>241</td>
<td>Williams, John M.</td>
<td>LD<br>387</td>
</tr>
<table border="1">
<thead><tr><th colspan="2">Bedford<br>2 LAB gains from CON</th><th colspan="2">Turnout 39.5%</th></tr></thead><tbody><tr><th rowspan="2">Anderson, Kathleen F. Ms.<br>Dunn, Antonia F. P. Ms.*<br>Allin-Khan, Rosena C. Ms.</th><th rowspan="2">LAB<br>1,935<br>1,895<br>1,843</th><th colspan="2">Fairfield<br>No change</th></tr><tr><th>Furzedown<br>No change</th><th rowspan="2">Turnout 31.8%</th></tr><tr><th>Jacob, Alexander M. *</th><th>CON<br>1,828</th><th>Sweet, William H. E.<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman, James S.*<br>Sweetman,</th></tr><tr><th>Locker, John A*</th><th>CON<br>1,826</th><th>Cresswell,Liane B. Ms.</th><th>LAB<br>1,021</th></tr><tr><th>Parker,Sophia E. Ms.</th><th>LAB<br>1,716</th><th>Sharp,Caroline H. Ms.</th><th>LAB<br>958</th></tr><tr><th>Vickery,AAlbert R.</th><th>GRE<br>673</th><th>Ponsonby,Fredrick M. T.</th><th>LAB<br>925</th></tr><tr><th>Woodward,William E.</th><th>LD<br>329</th><th>Waterman,Antony J. D.</th><th>GRE<br>598</th></tr><tr><th>Wells,Airand C.</th><th>LD<br>288</th><th>Warren,Patrick M.</th><th>LD<br>374</th></tr><tr><th>Cox,Robert A.</th><th>UKIP<br>243</th><th>Scaping,Hall P.H.</th><th>LD<br>325</th></tr><tr><th>Earl'sfield<br>1 LAB gain from CON</th><th colspan="2">Turnout 38.3%</th></tr></tbody></table>
<table border="1">
<thead><tr><th rowspan="2">Knowles,Adrían C.<br>Lescott ,Charles A.<br>Jones ,Leonie A. Ms.<br>Jones ,Candida A. R. Ms.</th><th rowspan="2">CON<br>LAB<br>LAB<br>LAB</th><th colspan="2">Turnout 43.7%</th></tr></thead><tbody><tr><th rowspan="2">Stokes,Rachael E. Ms.<br>Mazumdar,Sarbani Ms.<br>Roberts,Colin E.<br>Ashley C.</th><th rowspan="2">Cooper Leonie A. Ms. *</text:<p style="font-size: small;">No change
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<p style="font-size: small;">Richins,Laurence C.<p style="font-size: small;">Patterson,David<p style="font-size: small;">Hendry,Kim Ms.<p style="font-size: small;">TUSC
<p style="font-size: small;">UKIP
<p style="font-size: small;">IND
<p style="font-size: small;">LAB
<p style="font-size: small;">LAB
<p style="font-size: small;">CON
<p style="font-size: small;">CON
<p style="font-size: small;">CON
<p style="font-size: small;">CON
<p style="font-size: small;">LAB
<p style="font-size: small;">LAB
<p style="font-size: small;">CON
<p style="font-size: small;">CON
<p style="font-size: small;">GRE
<p style="font-size: small;">GRE
<p style="font-size: small;">GRE
<p style="font-size: small;">GRE
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<p style="font-size: small;">GRE
<p style="font-size:small; ">Greenside Council Area
<page_number>184</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Wandsworth
<table>
<thead>
<tr>
<td></td>
<td></td>
<td>Turnout 38.1%</td>
<td>Northcote</td>
<td>Turnout 33.3%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Gibbons, Andrew R. A.*</td>
<td>LAB</td>
<td>2,633</td>
<td>Dodd, Jane M. Ms.</td>
<td>CON</td>
<td>2,198</td>
</tr>
<tr>
<td>Macdonald, Alaina Ms.</td>
<td>LAB</td>
<td>2,595</td>
<td>Dawson, Peter M.*</td>
<td>CON</td>
<td>2,187</td>
</tr>
<tr>
<td>Osborn, Rex A.*</td>
<td>LAB</td>
<td>2,471</td>
<td>Johnson, Martin D. *</td>
<td>CON</td>
<td>1,984</td>
</tr>
<tr>
<td>Baker, Harnet E. M. Ms.</td>
<td>CON</td>
<td>964</td>
<td>Heath, James H.</td>
<td>LAB</td>
<td>888</td>
</tr>
<tr>
<td>White, Christopher P.</td>
<td>CON</td>
<td>801</td>
<td>Noble, Gareth J.</td>
<td>LAB</td>
<td>805</td>
</tr>
<tr>
<td>Mazumdar, Rakesh</td>
<td>CON</td>
<td>784</td>
<td>Kanal, Shalu C. Ms.</td>
<td>LAB</td>
<td>761</td>
</tr>
<tr>
<td>Partridge, Neil R.</td>
<td>GRE</td>
<td>620</td>
<td>Evans, Guy M. C.</td>
<td>GRE</td>
<td>623</td>
</tr>
<tr>
<td>Dearden, Stephanie M. Ms.</td>
<td>LD</td>
<td>348</td>
<td>Green, Christine A. Ms.</td>
<td>LD</td>
<td>388</td>
</tr>
<tr>
<td>Clapham, Edward J.</td>
<td>LD</td>
<td>311</td>
<td>Beavan, Jake M.</td>
<td>LD</td>
<td>355</td>
</tr>
<tr>
<td>Perry, David M. J.</td>
<td>UKIP</td>
<td>249</td>
<td>Nabarro, David J. N.</td>
<td>UKIP</td>
<td>198</td>
</tr>
<tr>
<td>Clifton, Michael A.</td>
<td>LD</td>
<td>239</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="2">Latchmere Turnout 34.9%</th></tr></thead>
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th>No change<br>Belton, Anthony J.*<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>LAB<br>BELTON ANTHONY J*<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th colspan="2" style="border-bottom: 1px solid black;"></th></tr></tbody></table></th></tr></tbody></table>
<tr style="text-align: center;">
<th>Hogg, Simon A.*<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">HOGG SIMON A*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Sintim, Rose P. Ms.<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">SINTIM ROSE P MS*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Sunderfield, Rosemary A. Ms.<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">SUMMERFIELD ROSEMARY A MS*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Mason, Peter<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">MAASON PETER*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Tinkler, Angela K. Ms.<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">TINKLER ANGELA K MS*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Voyce, Hollie R. L. Ms.<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">VOYCE HOLLIE R L MS*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Davis, Richard A.<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">DAVIS RICHARD A*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Edwards, Robert P.<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th rowspan="2" style="border-bottom: 1px solid black;">EDWARDS ROBERT P*</th></tr></tbody></table></th>
<tr style="text-align: center;">
<th>Nightingale Turnout 36.4%</table>
<table style="width: 100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="2">Nightingale Turnout 36.4%</th></tr></thead>
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th>No change<table style="width: 100%;"><tbody style="text-align: center;"><tr style="text-align: center;"><th colspan="2" style=""><table border=0 cellspacing=0 cellpadding=0 width=100% height=55 align=center valign=top class='dataframe'><thead id='__annotation__row_'><tr id='__annotation__row__col_'><th colspan='2'></th></tr></thead>$\begin{array}{|l|l|}\hline \mathrm{No~change} & {} \\ \hline \end{array}$<tbody id='__annotation__body_'><tr id='__annotation__body__row_'><th colspan='2' class='header_bottom_margin'>Mcdermott, Sarah C. Ms.*<table border=0 cellspacing=0 cellpadding=0 width=100% height=55 align=center valign=top class='dataframe'><thead id='__annotation__row__col_'><tr id='__annotation__row__col__col_'><th colspan='2'></th></tr></thead>$\begin{array}{|l|l|}\hline \mathrm{Mcdermott}, \mathrm{Sarah} \mathrm{C}. \mathrm{Ms}.* & {} \\ \hline \end{array}$<tbody id='__annotation__body__row_'><tr id='__annotation__body__row__col_'><th colspan='2' class='header_bottom_margin'>Field, Richard C.<table border=0 cellspacing=0 cellpadding=0 width=100% height=55 align=center valign=top class='dataframe'><thead id='__annotation__row__col_'><tr id='__annotation__row__col__col_'><th colspan='2'></th></tr></thead>$\begin{array}{|l|l|}\hline \mathrm{Field}, \mathrm{Richard} \mathrm{C}. & {} \\ \hline \end{array}$<tbody id='__annotation__body__row_'><tr id='__annotation__body__row__col_'><th colspan='2' class='header_bottom_margin'>Hart, Ian P.*<table border=0 cellspacing=0 cellpadding=0 width=100% height=55 align=center valign=top class='dataframe'><thead id='__annotation__row__col_'><tr id='__annotation__row__col__col_'><th colspan='2'></th></tr></thead>$\begin{array}{|l|l|}\hline \mathrm{Hart}, \mathrm{Ian} \mathrm{P}.* & {} \\ \hline \end{array}$<tbody id='__annotation__body__row_'><tr id='__annotation__body__row__col_' colspan='2' class='header_bottom_margin'>Panto, Mark S.<table border=0 cellspacing=0 cellpadding=0 width=100% height=55 align=center valign=top class='dataframe'><thead id='__annotation__row__col_' col=<span>x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</code> <<span x<code><</cod
<img>A table showing election results for the London Borough Council election in Wandsworth in May 2014.
The table shows the turnout percentage for each candidate and their party affiliation.
The first column lists the candidates' names.
The second column lists the parties they represent.
The third column shows the turnout percentage.
The fourth column shows the Northcote turnout percentage.
The fifth column shows the overall turnout percentage.
The table includes candidates from various political parties such as Labour (LAB), Conservative (CON), Liberal Democrats (LIB), Green Party (GRE), UK Independence Party (UKIP), and others.
For example:
- Gibbons, Andrew R.A.* represents LAB and has a turnout of 2,633 with a Northcote turnout of 964 and an overall turnout of 2,198.
- Macdonald, Alaina Ms. represents LAB and has a turnout of 2,595 with a Northcote turnout of 801 and an overall turnout of 2,187.
- Osborn, Rex A.* represents LAB and has a turnout of 2,471 with a Northcote turnout of 784 and an overall turnout of 1,984.
- Baker, Harnet E.M. Ms. represents CON and has a turnout of 964 with a Northcote turnout of Heath James H. and an overall turnout of 888.
- White, Christopher P. represents CON and has a turnout of 801 with a Northcote turnout of Noble Gareth J. and an overall turnout of 805.
- Mazumdar, Rakesh represents CON and has a turnout of 784 with a Northcote turnout of Kanal Shalu C.Ms. and an overall turnout of 761.
- Partridge Neil R. represents GRE and has a turnout of 620 with a Northcote turnout of Evans Guy M.C. and an overall turnout of 623.
- Dearden Stephanie M. Ms. represents LD and has a turnout of 348 with a Northcote turnout of Green Christine A.Ms. and an overall turnout of 388.
- Clapham Edward J. represents LD and has a turnout of 311 with a Northcote turnout of Beavan Jake M. and an overall turnout of 355.
- Perry David M.J. represents UKIP and has a turnout of 249 with a Northcote turnout of Nabarro David J.N. and an overall turnout of 198.
- Clifton Michael A. represents LD and has a turnover
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>185</page_number>
<table>
<thead>
<tr>
<td>St. Mary's Park</td>
<td>Turnout 33.5%</td>
<td>Thamesfield</td>
<td>Turnout 37.5%</td>
</tr>
</thead>
<tbody>
<tr>
<td>No change</td>
<td></td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Hampton, Melanie C. A. Ms.</td>
<td>CON 2,201</td>
<td>Torrington, Rosemary C. Ms.*</td>
<td>CON 2,579</td>
</tr>
<tr>
<td>Strickland, Tessa M. E. Ms.</td>
<td>CON 2,066</td>
<td>Ryder, Michael J.*</td>
<td>CON 2,466</td>
</tr>
<tr>
<td>O'Brien, Rory P.</td>
<td>CON 2,030</td>
<td>Maddan, James P. R.*</td>
<td>CON 2,437</td>
</tr>
<tr>
<td>Garrigan, Daniel P. J.</td>
<td>LAB 1,363</td>
<td>Grimshaw, Janet Ms.</td>
<td>LAB 953</td>
</tr>
<tr>
<td>Pollen, Carmel M. J. Ms.</td>
<td>LAB 1,270</td>
<td>Gibbons, Stephen</td>
<td>LAB 880</td>
</tr>
<tr>
<td>Pearce, Clayton J.</td>
<td>LAB 1,180</td>
<td>Carter, Richard F.</td>
<td>GRE 846</td>
</tr>
<tr>
<td>Davis, Lois E. Ms.</td>
<td>GRE 718</td>
<td>Locke, Christopher E.</td>
<td>LAB 790</td>
</tr>
<tr>
<td>Hamilton, Mostyn N.</td>
<td>UKIP 396</td>
<td>Compton, Henry J.</td>
<td>LD 554</td>
</tr>
<tr>
<td>Porter, Jeremy W.</td>
<td>LD 372</td>
<td>Johnson, Peter</td>
<td>LD 479</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="4" style="border-top: 1px solid black;">Shaftesbury Turnout 33.0%</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="4" style="border-top: 1px solid black;">No change</td>
</tr>
<tr style="border-top: 1px solid black;">
<td>Cousins, James A.*<br>Cook, Jonathan P.*<br>Senior, John G. B.*<br>Linton, Martin<br>Stock, Katharine C. Ms.<br>Af-Ameen, Mohammed Y. O.<br>Austin, Caroline M. G. Ms.<br>Montgomery, Patrick W.<br>Van De L'Isle, Hugh D.</td>
<td>CON 1,932<br>CON 1,850<br>CON 1,794<br>LAB 1,227<br>LAB 1,084<br>LAB 1,030<br>GRE 604<br>LD 391<br>TUSC 96</td>
<td>Tooting No change<br>Critchard, Annamarie M. Ms.<br>Daley, James G. D.*<br>Johnson, Benjamin R.*<br>Hughes, Robert D.<br>Raynor, James S.<br>Syed, Shakeel A.<br>Obiri-Darko, Esther Ms.<br>Irwin, Jonathan D.<br>Derrington, Giles<br>Bennett, Mark<br>Sharich, Simon A.<br>Maples, David T.<br>Brand, Philip W.</td>
<td>Tour turnout 41.6%<br>LAB 2,499<br>LAB 2,495<br>LAB 2,371<br>CON 1,583<br>CON 1,525<br>CON 1,427<br>GRE 622<br>LD 361<br>UKIP 292<br>LD 286<br>TUSC 115<br>COMB 112</td>
</tr>
<table border="1">
<thead><tr><th></th><th></th><th></th><th></th></tr></thead><tbody><tr><th rowspan="2">Southfields No change Caddy, Kim M.* Humphries, Guy D. R.* Walsh Terence M.* Tattum Ian S.</th><th rowspan="2">Turnout 39.7%</th><th></th><th></th></tr><tr><th></th><th></th></tr><tr><th rowspan="2">Booker Maureen D. Ms. Martin Elizabeth Ms. Richman Robert J.</th><th rowspan="2">LAB 1,328 LAB 1,252 IND 1,106 Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.* Clay Claire E. Ms.* Heaster Maurice A. S.* Tracey Katharine R. Ms.</th><th rowspan="2">Wandsworth Common Turnout 39.2%</th></tr><tr><th>Hunter Connie A.Ms.</th><th></th></tr><tr><th rowspan="2">Griffin-Beale Lucy J.Ms Ahmed Anna M.L.Ms Brown Hugh P.</th><th rowspan="2">LD 460 LD 443 LD 300 Murday Sophia J.Ms Metcalf Richard J Cunningham Kieran P Schwarz Michael R John-Richards Susan Ms Pasley-Tyler Robert</th><th></th></tr><tr><th></th><th></th></tr></tbody></table>
<table border="1">
<thead><tr><th></th><th></th><th></th><th></th></tr></thead><tbody><tr><th rowspan="2">St Mary's Park No change Hampton Melanie C.A.Ms Strickland Tessa M.E.Ms O’Broin Rory P Garrigan Daniel P.J Pollen Carmel M.J.Ms Pearce Clayton J Davis Lois E.Ms Hamilton Mostyn N Porter Jeremy W Shaftesbury Cousins James A.Tooting Cook Jonathan P.Senior John G.B.Linton Martin Stock Katharine C.Ms Af-Ameen Mohammed Y.O.Austin Caroline M.G.Ms Montgomery Patrick W.Van De L'Isle Hugh D Southfields Caddy Kim M.Humphries Guy D.R.Walsh Terence M.Tattum Ian S.Booker Maureen D.Martin Elizabeth M.Richman Robert J.Hunter Connie A.Ms.Griffin-Beale Lucy J.Ms.Ahmed Anna M.L.Ms.Brown Hugh P.</th><th rowspan="2">Turnout 33% CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON CON Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con Con ConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConConCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandCandClay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Katharine R.Ms.Clay Claire E.Ms.Heaster Maurice A.S.Tracey Catharine RMs.Clay Claire EMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey Katherine RMansHeater Maurice ASTracey 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<img>A table showing election results for London Borough Council elections in May 2014.
The table includes columns for constituency name (e.g., St Mary's Park), candidate names (e.g., Hampton Melanie C.A., Strickland Tessa M.E.), party abbreviations (e.g., CONS), and turnout percentages (e.g., Turnout: %).
The table also includes a column for "Wardsworth" with values such as "CON", "LAB", "GRE", "LD", "UKIP", etc.
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
- St Mary's Park: Hampton Melanie C.A., Strickland Tessa M.E.
- Wardsworth: Tooting No change
- Southfields: No change
- Shaftesbury: No change
- Cousins James A.*, Cook Jonathan P.*, Senior John G.B.*
- Linton Martin
- Stock Katherine C.
- Af-Ameen Mohammed Y.O.
- Austin Caroline M.G.
- Montgomery Patrick W.
- Van De L'Isle Hugh D.
- Southfields No change
- Caddy Kim M.*, Humphries Guy D.R.*, Walsh Terence M.*
- Tattum Ian S.
- Booker Maureen D.
- Martin Elizabeth M.
- Richman Robert J.
- Hunter Connie A.
- Griffin Beale Lucy J.
- Ahmed Anna M.L.
- Brown Hugh P.
- Wardsworth Common Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %: Turnout: %:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
- St Mary's Park
- Wardsworth
- Southfields
- Shaftesbury
- Cousins James A.*, Cook Jonathan P.*, Senior John G.B.*
- Linton Martin
- Stock Katherine C.
- Af-Ameen Mohammed Y.O.
- Austin Caroline M.G.
- Montgomery Patrick W.
- Van De L'Isle Hugh D.
- Southfields No change
- Caddy Kim M.*, Humphries Guy D.R.*, Walsh Terence M.*
- Tattum Ian S.
- Booker Maureen D.
- Martin Elizabeth M.
- Richman Robert J.
- Hunter Connie A.
- Griffin Beale Lucy J.
- Ahmed Anna M.L.
- Brown Hugh P.
- Wardsworth Common Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
Turnout:
The table shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Wardsworth
Southfields
Shaftesbury
Wardsworth Common
This table shows election results for London Borough Council elections in May 2014.
It includes columns for constituency name (e.g., St Mary's Park), candidate names (e.g., Hampton Melanie C.A., Strickland Tessa M.E.), party abbreviations (e.g., CONS), and turnout percentages (e.g., Turnout :%).
It also includes a column for "Wardsworth" with values such as "CON", "LAB", "GRE", "LD", "UKIP", etc.
It shows that the majority of constituencies have a single candidate listed under each party abbreviation.
Some constituencies have multiple candidates listed under the same party abbreviation.
For example:
St Mary's Park
Hampton Melanie C.A., Strickland Tessa M.E.
Wardsworth
Tooting No change
Senior John G.B.*
Linton Martin
Stock Katherine C.
Af-Ameen Mohammed Y.O.
Austin Caroline M.G.
Montgomery Patrick W.
Van De L'Isle Hugh D.
Southfields
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
No change
Nochange
<page_number>186</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<img>Wandsworth</img>
| West Hill | Turnout 37.4% | West Putney | Turnout 37.6% |
|---|---|---|---|
| No change | | No change | |
| Cuff, Nicholas R.* | CON | 2,138 | Cooper, Jane Ms.* | CON | 2,429 |
| Grimston, Malcolm C.* | CON | 1,880 | Lewer, Ian P. | CON | 2,237 |
| Peterkin, Andrew E. | CON | 1,610 | Sutters, Stephanie J. Ms.* | CON | 2,221 |
| Ireland, Angela M. Ms. | LAB | 1,420 | Ayres, Finna J. Ms. | LAB | 1,066 |
| Khan, Basheer U. H. | LAB | 1,413 | Roy, Donald J. | LAB | 827 |
| Gallagher, Stephen J. | LAB | 1,256 | Stevens, Anthony N. | LAB | 814 |
| Sokolowski, Tomasz | GRE | 625 | Germanis, Alexandros | GRE | 490 |
| Devons, Catherine S. Ms. | LD | 519 | Poole, Christopher E. | GRE | 486 |
| Van Randwyck, Hugo A. | UKIP | 388 | Cottis, Eileen E. Ms. | LD | 449 |
| Tyler, Bernard J. C. | LD | 331 | Hodges, Anthony W. | UKIP | 396 |
| Ward, Christopher R. | LD | 253 | Saddler, Jamie R. | LD | 387 |
| | | Williams, Robert I. | LD | 297 |
**By-elections**
**Thamesfield**
30 June 2011
No change
**Southfields**
29 March 2012
No change
|Ryder, Michael| CON| 1,497|
|---|---|---|
| Klapp, Christian| LAB| 1,022|
| Smart, Lisa Ms.| LD| 545|
| Hoffman, Marian Ms.| GRE| 202|
Resignation of Lister, Edward J.U. (CON)
Caddy, Kim Ms.
Kaile, Josh
Munro, John
Mackenzie, Bruce
McDonald, Strachan
Abid, Mohammed
CON: <page_number>1,841</page_number>
LAB: <page_number>1,511</page_number>
LD: <page_number>220</page_number>
GRE: <page_number>100</page_number>
UKIP: <page_number>40</page_number>
IND: <page_number>38</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>187</page_number>
**City of Westminster**
**Conservative administration**
<img>
A map of Westminster showing the boundaries of the wards and their party affiliations.
The ward boundaries are represented by blue and red polygons.
The ward names are written on top of each polygon.
The ward names are:
1. Abbey Road
2. Bayeswood
3. Brayton and Dorset Square
4. Churchill
5. Church Street
6. Harrow Road
7. Hyde Park
8. Knightsbridge and Belgravia
9. Lancaster Gate
10. Little Venice
The party affiliations are:
- Conservative: Blue
- Labour: Red
- Conservative/Labour: Purple
The ward boundaries are:
- 1: Abbey Road
- 2: Bayeswood
- 3: Brayton and Dorset Square
- 4: Churchill
- 5: Church Street
- 6: Harrow Road
- 7: Hyde Park
- 8: Knightsbridge and Belgravia
- 9: Lancaster Gate
- 10: Little Venice
The party affiliations are:
- Conservative: Blue
- Labour: Red
- Conservative/Labour: Purple
</img>
<table>
<thead>
<tr>
<th colspan="5">State of the parties, 1964-2014</th>
<th colspan="5">% share of the poll, 1964-2014</th>
</tr>
<tr>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
<th>total</th>
<th>% poll</th>
<th>CON</th>
<th>LAB</th>
<th>LD</th>
<th>other</th>
</tr>
</thead>
<tbody>
<tr>
<td>22.514</td>
<td>44</td>
<td>16</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>22.514</td>
<td>32.3</td>
<td>40.7</td>
<td>32.8</td>
<td>6.2</td>
<td>20.3</td>
</tr>
<tr>
<td>6.510</td>
<td>48</td>
<td>12</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>6.510</td>
<td>53.2</td>
<td>43.2</td>
<td>25.4</td>
<td>18.9</td>
<td>12.5</td>
</tr>
<tr>
<td>4.506</td>
<td>48</td>
<td>12</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>4.506</td>
<td>42.7</td>
<td>57.5</td>
<td>23.3</td>
<td>15.6</td>
<td>3.6</td>
</tr>
<tr>
<td>2.502</td>
<td>48</td>
<td>12</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>2.502</td>
<td>27.4</td>
<td>56.4</td>
<td>27.6</td>
<td>13.0</td>
<td>3.1</td>
</tr>
<tr>
<td>7.598</td>
<td>47</td>
<td>13</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>7.598</td>
<td>32.0</td>
<td>55.1</td>
<td>32.1</td>
<td>9.0</td>
<td>3.8</td>
</tr>
<tr>
<td>5.594</td>
<td>45</td>
<td>15</td>
<td>-</td>
<td>-</td>
<td>60</td>
<td>5.594</td>
<td>46.</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr><br/>
<tr style="background-color:#f0f0f0;">
<th colspan="11" style="text-align:center;">General statistics<br/>Electorate<br/>Resident population aged 18 and over<br/>Estimated % unemployed<br/>Band 'D' council tax<br/>City of Westminster<br/>London<br/>May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">Electorate<br/>Resident population aged 18 and over<br/>Estimated % unemployed<br/>Band 'D' council tax<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">City of Westminster<br/>London<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">City of Westminster<br/>London<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">City of Westminster<br/>London<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">City of Westminster<br/>London<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">City of Westminster<br/>London<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010<br/></th><br/>
<th style="text-align:right;">City of Westminster<br/>London<br/></th><br/>
<th style="text-align:right;">May 2014<br/>May 2010<br/>Mid 2014<br/>Mid 2010<br/>2013/14<br/>2009/10<br/>May 2014<br/>May 2010.<br/></table>
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<tr style="background-color:#faffff;">
<th colspan="7">City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster London City of Westminster Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local Councils Local CouncilsLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCouncilsandLocalCoun
<page_number>188</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td>% share of the poll</td>
<td>Date</td>
<td>%poll</td>
<td>CON</td>
<td>LAB</td>
<td>LD</td>
<td>GRE</td>
<td>BNP</td>
<td>UKIP</td>
<td>IND</td>
<td>REA Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Abbey Road</td>
<td>22.5.14</td>
<td>30.9</td>
<td>58.0</td>
<td>19.6</td>
<td>10.2</td>
<td>12.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>56.2</td>
<td>56.7</td>
<td>19.0</td>
<td>14.1</td>
<td>10.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Bayswater</td>
<td>22.5.14</td>
<td>30.4</td>
<td>39.5</td>
<td>20.9</td>
<td>21.9</td>
<td>17.7</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>53.3</td>
<td>45.8</td>
<td>22.8</td>
<td>31.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Bryanston & Dorset Square</td>
<td>22.5.14</td>
<td>29.4</td>
<td>51.7</td>
<td>19.2</td>
<td>11.9</td>
<td>17.2</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td></td>
<td>6.5.10</td>
<td>48.7</td>
<td>51.2</td>
<td>18.0</td>
<td>18.5</td>
<td>12.3</td>
<td>--</td>
<td>--</td>
<td>--</td>
<td>--</td>
</tr>
<tr>
<td>Churchill</td>
<td>22.5.14</td>
<td>41.8</td>
<td>35.0</td>
<td>39.7</td>
<td>6.0</td>
<td>10.6</td>
<td>--</td>
<td>--.</td><th colspan="2">8.6 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Church Street
<table><tr><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th><th>Date%</th></tr><tr><th colspan="11">Harrow Road 22.5.14 32.9 6.5.10 58.0 6.5.</th></tr><tr><th colspan="11">Hyde Park 22.5.14 26.6 6.5.</th></tr><tr><th colspan="11">Knightsbridge & Belgravia 22.5.14 26.3 6.</th></tr><tr><th colspan="11">Lancaster Gate 22.5.14 29.</th></tr><tr><th colspan="11">Little Venice 22.</th></tr><tr><th colspan="11">Maida Vale 6.</th></tr><tr><th colspan="11">Marylebone High Street 2.</th></tr><tr><th colspan="11">Queen's Park 2.</th></tr><tr><th colspan="11">Regent's Park 6.</th></tr><tr><th colspan="11">St James's 6.</th></tr><tr><th colspan="11">Tachbrook 6.</th></tr><tr><th colspan="11">Vincent Square 6.</th></tr><tr><th colspan="11">Warwick 6.</th></tr><tr><th colspan="11">Westbourne 6.</th></tr><tr><th colspan="11">West End 6.</th></tr></table>
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<th rowspan="3" style="text-align: center;">City of Westminster<br/>LONDON BOROUGH COUNCIL ELECTIONS MAY 2014<br/>% share of the poll<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Abbey Road<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Bayswater<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Churchill<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Church Street<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Harrow Road<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Hyde Park<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Knightsbridge & Belgravia<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Lancaster Gate<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Little Venice<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Maida Vale<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Marylebone High Street<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Queen's Park<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Regent's Park<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>St James's<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Tachbrook<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Vincent Square<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Warwick<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>Westbourne<br/>Date %poll CON LAB LD GRE BNP UKIP IND REA Others<br/>West End<br/></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>189</page_number>
**Results**
<table>
<thead>
<tr>
<th>Abbey Road<br>No change</th>
<th>Turnout 30.9%</th>
<th>Churchill<br>3 LAB gain from CON</th>
<th>Turnout 41.8%</th>
</tr>
</thead>
<tbody>
<tr>
<td>Hall, Lindsey Ms.*<br>Warner, Judith Ms.*<br>Freeman, Peter</td>
<td><strong>CON</strong><br>1,277<br><strong>CON</strong><br>1,248<br><strong>CON</strong><br>1,247</td>
<td>Gassanly, Murad<br>Talukder, Shamim<br>Williams, Jason T.</td>
<td><strong>LAB</strong><br>1,187<br><strong>LAB</strong><br>1,172<br><strong>LAB</strong><br>1,095</td>
</tr>
<tr>
<td>Hoskyns, Katharine Ms.<br>Denton, Peter<br>Sommariva, Angelo A.</td>
<td>LAB<br>487<br>429<br>LAB<br>359</td>
<td>Havery, Andrew J.*<br>Wilkinson, Jacqui Ms.<br>Pierre-Traves, Alex</td>
<td><strong>CON</strong><br>1,051<br><strong>CON</strong><br>1,018<br><strong>CON</strong><br>981</td>
</tr>
<tr>
<td>Tandy, Emmanuelle C. Ms.<br>Boutier, Tilly Ms.</td>
<td>GRE<br>265<br>LD<br>221</td>
<td>Mackie, George P.<br>Uddin, Muhammad E.<br>Ewen, David C. C.</td>
<td><strong>GRE</strong><br>308<br><strong>IND</strong><br>251<br><strong>LD</strong><br>175</td>
</tr>
<tr>
<td colspan="3">Bayswater<br>No change</td>
<td colspan="2">Torres, Rhoda M. Ms.<br>LD<br>175</td>
</tr>
<tr>
<td colspan="3">Connell, Brian*<br>Holloway, Richard<br>Rahuja, Suhaib*</td>
<td colspan="2"><strong>CON</strong><br><strong>901</strong></td>
<td colspan="2">Church Street<br>No change</td>
<td colspan="2">Turnout 34.8%</td>
</tr>
<tr>
<td colspan="3">Williams, Anthony P.</td>
<td colspan="2"><strong>CON</strong><br><strong>795</strong></td>
<td colspan="2">Grahame, Barbara*</td>
<td colspan="2"><strong>LAB</strong><br><strong>1,854</strong></td>
</tr>
<tr>
<td>Zommer, Yuval</td>
<td colspan="3">LD<br>LAD<br>LAD<br>LAD</td>
<td colspan="2">Toki, Aziz*<br>Rampulla, Vincenzo<br>Bradley, Isobel Ms.<br>Boufias, Rachid</td>
<td colspan="2"><strong>LAB</strong><br><strong>1,602</strong></td>
</tr>
<tr>
<td>Kay-Lambert, Lauren Ms.</td>
<td colspan="3">LAB<br>472<br>LAD<br>LAD</td>
<td colspan="2">Hankinson, Lauren Ms.</td>
<td colspan="2"><strong>CON</strong><br><strong>495</strong></td>
</tr>
<tr>
<td>Bennett, Nathan<br>Ahmed, Hussain<br>Blackburn, Mark D. H.</td>
<td colspan="3">LAB<br>LAD<br>LAD<br>LAD</td>
<td colspan="2">Enflo, Marta H. Ms.</td>
<td colspan="2"><strong>CON</strong><br><strong>448</strong></td>
</tr>
<tr>
<td>Acciarri, Louisa Ms.</td>
<td colspan="3">CRE<br>CRE<br>CRE<br>CRE</td>
<td colspan="2"></td>
<td colspan="2"><strong>GRE</strong><br><strong>362</strong></td>
</tr>
<tr>
<td>Bryanston and Dorset Square<br>No change</td>
<td colspan="3">Turnout 29.4%</td>
<td colspan="5">Harrow Road<br>No change</td>
<td colspan="2">Turnout 32.9%</td>
</tr>
<tr>
<td>Lewis, Audrey R. Ms.*<br>Beddow, Richard M.*<br>Mohammed, Adnan</td>
<td colspan="3"><strong>CON</strong><br><strong>1,207</strong><br><strong>CON</strong><br><strong>1,180</br><br><strong>CON </strong><br><strong>1,049 </强></td>
<td colspan="5">Bush, Ruth Ms.*<br>Mckie, Guthrie*<br>Mukerji, Nilavra*</td>
<td colspan="2"><strong>LAB </强></td></tr>
<tr>
<td>Buxton, Brenda J. Ms.<br>Buckland, Derek J.<br>Garside, Mair E. Ms.<br>Nadel, Jennifer Ms.</td>
<td colspan="3">LAB<br>LAD<br>LAD<br>LAD</td>
<td colspan="5">Green, Grazyna Ms.<br>Sandford, Roc<br>Nassif, Aline Ms.<br>Kitching, Russ</td>
<td colspan="2"><strong>LAB </强></td></tr>
<tr>
<td>Browne, Nicola Ms.<br>Lockyer, Roger W.</td>
<td colspan="3">GRE<br>CRE<br>CRE<br>CRE</td>
<td colspan="5">Singh, Hartej<br>Sandford, Roc<br>Nassif, Aline Ms.<br>Kitching, Russ</td>
<td colspan="2"><strong>LAB </强></td></tr>
<tr style="border-top: 1px solid black;">
<th>Bryanston and Dorset Square<br>No change</th>
<th style="text-align: right;">Turnout 26.6%</th>
<th style="text-align: left;">No change:</th></tr></table>
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<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
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<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
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<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
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<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="text-align: center;">Acton,</th></tr></tbody></table>
<table style="width: 100%; border-collapse: collapse;">
<tbody style="border-bottom: 1px solid black;">
<tr style="border-top: 1px solid black;">
<th style="">Acton,</th></tr></tbody></table>
<table style="" cellspacing="" cellpadding="">
<thead align="" valign="">
<tr align="" valign="">
<th align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
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<div align="" valign="">City of Westminster
<div align="" valign="">City of Westminster
<page_number>190</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<table>
<thead>
<tr>
<td rowspan="2">City of Westminster</td>
<td colspan="3">Knightsbridge and Belgravia</td>
<td colspan="3">Turnout 26.3%</td>
<td colspan="3">Marylebone High Street</td>
<td colspan="3">Turnout 28.8%</td>
</tr>
<tr>
<td>No change</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>No change</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Roe, Philippa M. Ms.*</td>
<td>CON</td>
<td>1,158</td>
<td>Bott, Iain J.*</td>
<td>CON</td>
<td>1,199</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Robathan, Rachael Ms.*</td>
<td>CON</td>
<td>1,138</td>
<td>Rowley, Ian D.*</td>
<td>CON</td>
<td>1,145</td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Devenish, Tony*</td>
<td>CON</td>
<td>1,114</td><td>Scarborough, Karen T. Ms.</td><td>CON</td><td>1,075</td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Bewley, Thomas</td>
<td>GRE</td>
<td>228</td><td>Cavalla, Madge Ms.</td><td>LAB</td><td>343</td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Buckland, Rosalyn L. D. Ms.</td>
<td>LAB</td>
<td>186</td><td>Garside, Owain R.</td><td>LAB</td><td>315</td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Blenkinsop, Joseph A.</td>
<td>LAB</td>
<td>154</ td><th colspan="3">Small, Hugh<br>Barr, Alastair G.</th><th colspan="3">GRE<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>LD<br>Lennon, Haude Ms.</th><th colspan="3">275<br>220<br>182<br>127</th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<table>
<thead>
<tr>
<th rowspan='2'>No change'</table>
<tr>
<span style="color:red;">* Indicates a candidate who was elected in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">*** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">**** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">***** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">****** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">******* Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">******** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">********* Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">********** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*********** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">************ Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">************* Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">************** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not win a seat.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who stood in this election but did not stand again in the previous election.</span>
<br>
<span style="color:red;">*************** Indicates a candidate who won a seat in this election but did not stand again in the previous election.</span>
<br>
<span style="">...</span>
```html
<html lang="">
<head>
<meta charset=utf-8 />
<title>Election Results - London Borough Council May 2014 - Westminster City Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - London Borough Council Election Results 2014 - City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster
```
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>191</page_number>
**Tachbrook**
No change
<table>
<thead>
<tr>
<td>Tachbrook</td>
<td>Turnout 37.4%</td>
<td>Westbourne</td>
<td>Turnout 32.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Evans, Nick*</td>
<td>CON<br>1,103</td>
<td>No change</td>
<td></td>
</tr>
<tr>
<td>Harvey, Angela A. Ms. *</td>
<td>CON<br>1,095</td>
<td>Boothroyd, David*</td>
<td>LAB<br>1,713</td>
</tr>
<tr>
<td>Cuthbertson, Peter M.</td>
<td>CON<br>1,093</td>
<td>Hug, Adam*</td>
<td>LAB<br>1,695</td>
</tr>
<tr>
<td>Guy, Gillian Ms.</td>
<td>LAB<br>568</td>
<td>Qureshi, Papya Ms. *</td>
<td>LAB<br>1,563</td>
</tr>
<tr>
<td>Darrall, Joe</td>
<td>LAB<br>537</td>
<td>Clode, Richard</td>
<td>CON<br>473</td>
</tr>
<tr>
<td>Thomson, William</td>
<td>LAB<br>493</td>
<td>Shelford, Henry</td>
<td>CON<br>402</td>
</tr>
<tr>
<td>Painter, Krystal B. Ms.</td>
<td>UKIP<br>274</td>
<td>Oteh, Iheoma Ms.</td>
<td>CON<br>398</td>
</tr>
<tr>
<td>Rubin, Conrad G.</td>
<td>CRE<br>268</td>
<td>Hunter-Tilney, Ludovic J. G.</td>
<td>GRE<br>381</td>
</tr>
<tr>
<td>Armstrong, Elizabeth Ms.</td>
<td>LD<br>231</td>
<td>Casey, Maggie Ms.</td>
<td>UKIP<br>306</td>
</tr>
<tr>
<td>Johnson, Pippa Ms.</td>
<td>LD<br>200</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Mougenot, Tim</td>
<td>LD<br>132</td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="2">Vincent Square No change Turnout 36.5%</table><br/>
Church, Paul J.<br/>
Roberts, Glens M. Ms. *<br/>
Glanz, Jonathan*<br/>
Cook, Katherine E. Ms.<br/>
Dumigan, Michael C.<br/>
Dewhirst, Damian<br/>
Murray, Andrew J.<br/>
De Beristain Humphrey, Anton D.<br/>
Ravencroft, Alan W.<br/>
Sperry, Sophie A. Ms.<br/>
Benmax, Peter<br/>
Rimensberger, Wilfried F.
<table style="border-collapse: collapse; width: auto; border: none;">
<tbody><tr><th style="text-align:center;">CON</th><th style="text-align:center;">1,027</th></tr><tr><th style="text-align:center;">CON</th><th style="text-align:center;">914</th></tr><tr><th style="text-align:center;">CON</th><th style="text-align:center;">865</th></tr><tr><th style="text-align:center;">LAB</th><th style="text-align:center;">453</th></tr><tr><th style="text-align:center;">LAB</th><th style="text-align:center;">435</th></tr><tr><th style="text-align:center;">LAB</th><th style="text-align:center;">393</th></tr><tr><th style="text-align:center;">IND</th><th style="text-align:center;">347</th></tr><tr><th style="text-align:center;">GRE</th><th style="text-align:center;">309</th></tr><tr><th style="text-align:center;">LD</th><th style="text-align:center;">152</th></tr><tr><th style="text-align:center;">LD</th><th style="text-align:center;">145</th></tr></tbody></table>
**Warwick**
No change
<table style="border-collapse: collapse; width: auto; border: none;">
<tbody><tr><th style="text-align:left;">Aiken, Nickie Ms. *</th><th style="text-align:right;">CON<br>1,419</th></tr><tr><th style="text-align:left;">Argar, Edward J. C. *</th><th style="text-align:right;">CON<br>1,323</th></tr><tr><th style="text-align:left;">Flight, Christabel Ms. *</th><th style="text-align:right;">CON<br>1,257</th></tr><tr><th style="text-align:left;">Newson, Georgina Ms.</th><th style="text-align:right;">LAB<br>517</th></tr><tr><th style="text-align:left;">Islam, Nutur</th><th style="text-align:right;">LAB<br>452</th></tr><tr><th style="text-align:left;">Taylor, Andrew J. D.</th><th style="text-align:right;">LAB<br>449</th></tr><tr><th style="text-align:left;">Parker, Benjamin C.</th><th style="text-align:right;">GRE<br>290</th></tr><tr><th style="text-align:left;">Munday, Jonathan</th><th style="text-align:right;">UKIP<br>265</th></tr><tr><th style="text-align:left;">Dugmore, Keith R.</th><th style="text-align:right;">LD<br>189</th></tr><tr><th style="text-align:left;">Smithard, Jane Ms.</th><th style="text-align:right;">LD<br>181</th></tr><tr><th style="text-align:left;">Platt, Mark A.</th><th style="text-align:right;">LD<br>166</th></tr></tbody></table>
City of Westminster
<page_number>192</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
By-elections
<table>
<thead>
<tr>
<td>Hyde Park<br>03 May 2012</td>
<td>Turnout 33%</td>
<td>Marylebone High Street<br>02 May 2013</td>
<td>Turnout 23.1%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Cox, Antonia M. Ms.</td>
<td>CON<br>No change<br>1,448</td>
<td>Bott, Iain</td>
<td>CON<br>No change<br>921</td>
</tr>
<tr>
<td>Gordon, Jack</td>
<td>LAB<br>563</td>
<td>Slingsby, Nik</td>
<td>LAB<br>203</td>
</tr>
<tr>
<td>Cridge, Mark J.</td>
<td>GRE<br>182</td>
<td>Saunders, Yael</td>
<td>FSP<br>184</td>
</tr>
<tr>
<td>Thompson, Martin</td>
<td>LD<br>178</td>
<td>Hill, Jeremy</td>
<td>LD<br>104</td>
</tr>
<tr>
<td>Earl Of Bradford, Richard</td>
<td>UKIP<br>96</td>
<td>Mercieca, Paul</td>
<td>UKIP<br>96</td>
</tr>
<tr>
<td>Dharamsey, Abdulla A. J. Ms.</td>
<td>IND<br>40</td>
<td>Small, Hugh</td>
<td>GRE<br>50</td>
</tr>
<tr>
<td colspan="4">Resignation of Barrow, Colin (CON)</td>
</tr>
<tr>
<td colspan="4">Resignation of Marshall, Harvey C.J. (CON)</td>
</tr>
</tbody>
</table>
City of Westminster
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>193</page_number>
**Ward voting statistics**
**Notes**
The number voting is the number of ballot papers from all sources, included in the count.
The polling station and postal ballot papers are those included in the count.
The categories of reason for rejecting ballot papers are:
lacking the official mark,
containing more votes than the number of seats being contested,
the voter could be identified by writing or marks, and
unmarked or ‘wholly void for uncertainty’.
---
<page_number>194</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="7"><strong>Barking and Dagenham</strong></td>
</tr>
<tr>
<td>Abbey</td>
<td>3</td>
<td>8,672</td>
<td>3,193</td>
<td>36.8</td>
<td>2,424</td>
<td>769</td>
</tr>
<tr>
<td>Albion</td>
<td>3</td>
<td>7,210</td>
<td>2,471</td>
<td>34.3</td>
<td>1,856</td>
<td>615</td>
</tr>
<tr>
<td>Becontree</td>
<td>3</td>
<td>8,601</td>
<td>3,169</td>
<td>36.8</td>
<td>2,300</td>
<td>869</td>
</tr>
<tr>
<td>Chadwell Heath</td>
<td>3</td>
<td>7,424</td>
<td>2,710</td>
<td>36.5</td>
<td>2,039</td>
<td>671</td>
</tr>
<tr>
<td>Eastbrook</td>
<td>3</td>
<td>7,276</td>
<td>2,755</td>
<td>34.6</td>
<td>2,097</td>
<td>736</td>
</tr>
<tr>
<td>Eastbury</td>
<td>3</td>
<td>7,962</td>
<td>2,757</td>
<td>34.6</td>
<td>1,968</td>
<td>789</td>
</tr>
<tr>
<td>Gascoigne</td>
<td>3</td>
<td>7,319</td>
<td>2,750</td>
<td>37.6</td>
<td>2,100</td>
<td>650</td>
</tr>
<tr>
<td>Goresbrook</ td><th scope="row">Barking and Dagenham<br><strong style="font-weight:bold;">51<br><strong style="font-weight:bold;">129,097<br><strong style="font-weight:bold;">47,117<br><strong style="font-weight:bold;">36.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><strong style="font-weight:bold;">35,477<br><strong style="font-weight:bold;">11,640<br><strong style="font-weight:bold;">40.5<br><br/></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></table>
<table id='ward_statistics'>
<thead id='ward_statistics_header'>
<tr id='ward_statistics_header_row'>
<th rowspan='2'>Ward<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet<b>Barnet
<th rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
<td colspan='2' rowspan='2'>Seats
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<table id=ward_statistics_table>
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<title>LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 Ballot papers Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward voting statistics Ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistics ward Voting Statistic...
<title>LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballot papers Ballots may vary slightly from actual ballots due to printing errors or other factors.</title>LONDON BOROUGH COUNCIL ELECTIONS MAY
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>195</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td rowspan="2">Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Barking and Dagenham</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Abbey</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>6</td>
<td>10</td>
<td>0</td>
<td>3,183</td>
<td>99.7</td>
<td></td>
</tr>
<tr>
<td>Albion</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>16</td>
<td>18</td>
<td>0</td>
<td>2,453</td>
<td>99.3</td>
<td></td>
</tr>
<tr>
<td>Becontree</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>5</td>
<td>8</td>
<td>0</td>
<td>3,161</td>
<td>99.7</td>
<td></td>
</tr>
<tr>
<td>Chadwell Heath</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>6</td>
<td>10</td>
<td>0</td>
<td>2,700</td>
<td>99.6</td>
<td></td>
</tr>
<tr>
<td>Eastbrook</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>4</td>
<td>7</td>
<td>0</td>
<td>2,856</td>
<td>99.8</td>
<td></td>
</tr>
<tr>
<td>Eastbury</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>5</td>
<strong style="color:red;">7<br style="color:red;">0<br style="color:red;">2,750<br style="color:red;">99.7<br style="color:red;">99.7<br style="color:red;">99.4<br style="color:red;">99.4<br style="color:red;">99.8<br style="color:red;">99.8<br style="color:red;">99.5<br style="color:red;">99.5<br style="color:red;">99.6<br style="color:red;">99.6<br style="color:red;">99.4<br style="color:red;">99.4<br style="color:red;">99.8<br style="color:red;">99.8<br style="color:red;">99.5<br style="color:red;">99.5<br style="color:red;">99.6<br style="color:red;">99.6<br style="color:red;">99.4<br style="color:red;">99.4<br style="color:red;">99.8<br style="color:red;">99.8<br style="color:red;">99.5<br style="color:red;">99.5<br style="color:red;">99.6<br style="color:red;">99.6<br style="color:red;">99.4<br style="color:red;">99.4<br style="color:red;">99.8<br style="color:red;">99.8<br style="color:red;">99.5<br style="color:red;">99.5<br style="color:red;">99.6<br style="color:red;">99.6<br style="color:red;">99.4<br style="color:red;">99.4<br style="color:red;">99.8<br style="color:red;">99.8<br style="color:red;">%</strong><br style="">% valid votes)</br><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br style="">%</strong><br
style="" color=""><font color="#FF0000"><u>Barking and Dagenham 0 48 0 122 170 0 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1 46,547 1
style="" color=""><u>Barnet
Brunswick Park
Burnt Oak
Chiltons
Colindale
Copetts
East Barnet
East Finchley
Edgware
Finchley Church End
Garden Suburb
Golders Green
Hale
Hendon
High Barnet
Mill Hill
Oakleigh
Tottenham
Tottenham Hale
Underhill
West Finchley
West Hendon
Woodhouseeue
Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u>Barnet <u%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%<BR>%BARNET%
style="" color=""><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF0000"><font color="#FF000
<page_number>196</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td rowspan="2">Seats</td>
<td rowspan="2">Electorate</td>
<td colspan="3">Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td>Number</td>
<td>voting</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Bexley</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Barnehurst</td>
<td>3</td>
<td>8,230</td>
<td>3,479</td>
<td>42.3</td>
<td>2,590</td>
<td>889</td>
<td></td>
</tr>
<tr>
<td>Belvedere</td>
<td>3</td>
<td>8,896</td>
<td>3,447</td>
<td>38.7</td>
<td>2,652</td>
<td>795</td>
<td></td>
</tr>
<tr>
<td>Blackfen and Lamorbey</td>
<td>3</td>
<td>8,263</td>
<td>3,435</td>
<td>41.6</td>
<td>2,740</td>
<td>695</td>
<td></td>
</tr>
<tr>
<td>Blendon and Penhill</td>
<td>3</td>
<td>8,474</td>
<td>3,495</td>
<td>41.2</td>
<td>2,668</td>
<td>827</td>
<td></td>
</tr>
<tr>
<td>Brampton</td>
<td>3</td>
<td>8,601</td>
<td>3,517</td>
<td>45.5</td>
<td>2,483</td>
<td>956</td>
<td></td>
</tr>
<tr>
<td>Christchurch</td>
<td>3</td>
<td>8,160</td>
<td>3,472</td>
<td>39.6</td>
<td>2,483</td>
<td>989</td>
<td></td>
</tr>
<tr>
<td>Colyers</td>
<td>3</td>
<td>7,734</td>
<td>3,116</td>
<td>40.3</td>
<td>2,273</td>
<td>843</td>
<td></td>
</tr>
<tr>
<td>Crayford</td>
<td>3</td>
<td>9,270</td>
<td>3,488</td>
<td>37.6</td>
<td>2,561</td>
<td>927</td>
<td></td>
</tr>
<tr>
<td>Cray Meadows</td>
<td>3</td>
<td>8,672</td>
<td>3,149</td>
<td>38.3</td>
<td>2,318</td>
<td>818</td>
<td></td>
</tr><tr><th>Danson Park<br/>East Wickham<br/>Erith<br/>Falconwood and Welling<br/>Lesnes Abbey<br/>Longlands<br/>North End<br/>Northumberland Heath<br/>St. Mary's<br/>St. Michael's<br/>Sidcup<br/>Thamesmead East<br/></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/></tr>
<tr style="background-color: #cccccc;">
<th>Bexley <strong style="color: blue;">63 </strong> <strong style="color: blue;">179,050 </strong> <strong style="color: blue;">70,959 </strong> </strong> <strong style="color: blue;">39.6 </strong> <strong style="color: blue;">53,007 </strong> <strong style="color: blue;">17,952 </strong> </strong>
<th>Bexley <strong style="color: blue;">63 </strong> <strong style="color: blue;">179,050 </strong> <strong style="color: blue;">70,959 </strong> </strong> <strong style="color: blue;">39.6 </strong> <strong style="color: blue;">53,007 </strong> <strong style="color: blue;">17,952 </strong> </strong>
<th>Brent <br/>
Alperton<br/>
Barnhill<br/>
Bromsgrove Park<br/>
Dolles Hill<br/>
Dudden Hill<br/>
Fryent<br/>
Harlesden<br/>
Kensal Green<br/>
Kenton<br/>
Kilburn<br/>
Mapesbury<br/>
Northwick Park<br/>
Preston<br/>
Queens Park<br/>
Queensbury<br/>
Stonebridge<br/>
Subbury<br/>
Tokynpton<br/>
Welsh Harp<br/>
Wembley Central<br/>
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/>
Alperton<br/>
Barnhill<br/>
Bromsgrove Park<br/>
Dolles Hill<br/>
Dudden Hill<br/>
Fryent<br/>
Harlesden<br/>
Kensal Green<br/>
Kenton<br/>
Kilburn<br/>
Mapesbury<br/>
Northwick Park<br/>
Preston<br/>
Queens Park<br/>
Queensbury<br/>
Stonebridge<br/>
Subbury<br/>
Tokynpton<br/>
Welsh Harp<br/>
Wembley Central<br/>
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/>
Alperton<br/>
Barnhill<br/>
Bromsgrove Park<br/>
Dolles Hill<br/>
Dudden Hill<br/>
Fryent<br/>
Harlesden<br/>
Kensal Green<br/>
Kenton<br/>
Kilburn<br/>
Mapesbury<br/>
Northwick Park<br/>
Preston<br/>
Queens Park<br/>
Queensbury<br/>
Stonebridge<br/>
Subbury<br/>
Tokynpton<br/>
Welsh Harp<br/>
Wembley Central<br/>
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/>
Alperton<br/>
Barnhill<br/>
Bromsgrove Park<br/>
Dolles Hill<br/>
Dudden Hill<br/>
Fryent<br/>
Harlesden<br/>
Kensal Green<br/>
Kenton<br/>
Kilburn<br/>
Mapesbury<br/>
Northwick Park<br/>
Preston<br/>
Queens Park<br/>
Queensbury<br/>
Stonebridge<br/>
Subbury<br/>
Tokynpton<br/>
Welsh Harp<br/>
Wembley Central<br/>
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensbury
Stonebridge
Subbury
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensberry
Stonebridge
Subburly
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alperton
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kenton
Kilburn
Mapesbury
Northwick Park
Preston
Queens Park
Queensberry
Stonebridge
Subburly
Tokynpton
Welsh Harp
Wembley Central
Willesden Green <br/></table>
<table>
<tr>
<th>Brent <br/
Alpertone
Barnhill
Bromsgrove Park
Dolles Hill
Dudden Hill
Fryent
Harlesden
Kensal Green
Kentn
Kilburn
Mapesbure
Northwick PArk
Presto
Queenpark
Queenberry
Stonebridge
Subburly
Tokynton
Welsh Hap
Wembley Centrle
Willden Grene
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>197</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">Votes more than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td>Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Bexley</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Barnehurst</td>
<td>6</td>
<td>9</td>
<td>0</td>
<td>15</td>
<td>30</td>
<td>0</td>
<td>3,449</td>
<td>0</td>
<td>99.1</td>
<td></td>
</tr>
<tr>
<td>Belvedere</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>9</td>
<td>15</td>
<td>0</td>
<td>3,432</td>
<td>0</td>
<td>99.6</td>
<td></td>
</tr>
<tr>
<td>Blackfen and Lamorbey</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>9</td>
<td>12</td>
<td>0</td>
<td>3,423</td>
<td>0</td>
<td>99.7</td>
<td></td>
</tr>
<tr>
<td>Blendon and Penhill</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>11</td>
<td>17</td>
<td>0</td>
<td>3,478</td>
<td>0</td>
<td>99.5</td>
<td></td>
</tr>
<tr>
<td>Brampton Park</td>
<td>0</td>
<td>6</td>
<td>31</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><div style="text-align:center;">Christchurch<br>Colyers<br>Crayford<br>Cray Meadows<br>Danson Park<br>East Wickham<br>Erich<br>Falconwood and Welling<br>Lesnes Abbey<br>Longlands<br>North End<br>Northumberland Heath<br>S. Mary's<br>S. Michael's<br>Sidcup<br>Tamesmead East<br>Bexley<br>Brent<br>Alperton<br>Barnhill<br>Braidedbury Park<br>Dollis Hill<br>Dudden Hill<br>Fryent<br>Harlesden<br>Kensal Green<br>Kenton<br>Kilburn<br>Mapesbury<br>Nothwick Park<br>Preston<br>Queens Park<br>Queensbury<br>Stonebridge<br>Sudbury<br>Tokynston<br>Welsh Harp<br>Wembley Central<br>Weilden Green<br>Brent<br>Bexley 6 126 12 302 449 3 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510 99.4 70,510
<page_number>198</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Bromley</td>
<td>3</td>
<td>11,695</td>
<td>4,889</td>
<td>41.8</td>
<td>3,451</td>
<td>1,438</td>
</tr>
<tr>
<td>Bickley</td>
<td>3</td>
<td>11,695</td>
<td>4,889</td>
<td>41.8</td>
<td>3,451</td>
<td>1,438</td>
</tr>
<tr>
<td>Biggin Hill</td>
<td>2</td>
<td>7,824</td>
<td>3,241</td>
<td>41.4</td>
<td>2,632</td>
<td>609</td>
</tr>
<tr>
<td>Bromley Common and Keston</td>
<td>3</td>
<td>12,108</td>
<td>4,831</td>
<td>39.9</td>
<td>3,486</td>
<td>1,345</td>
</tr>
<tr>
<td>Bromley Town</td>
<td>3</td>
<td>12,854</td>
<td>4,818</td>
<td>37.5</td>
<td>3,618</td>
<td>1,200</td>
</tr>
<tr>
<td>Chelesfield and Pratts Bottom</td>
<td>3</td>
<td>11,326</td>
<td>5,376</td>
<td>47.5</td>
<td>4,246</td>
<td>1,130</td>
</tr>
<tr>
<td>Cholesley Hall</td>
<td>3</td>
<td>11,576</td>
<td>4,576</td>
<td>36.7</td>
<td>3,232</td>
<td>1,200</td>
</tr>
<tr>
<td>Clock House</td>
<td>3</td>
<td>11,786</td>
<td>4,992</td>
<td>42.4</td>
<td>4,035</td>
<td>957</td>
</tr>
<tr>
<td>Copers Cope</td>
<td>3</ td>< td style="text-align:right;">12,057 </ td>< td style="text-align:right;">4,659 </ td>< td style="text-align:right;">38.6 </ td>< td style="text-align:right;">3,412 </ td>< td style="text-align:right;">1,247 </ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></<td style="color:red; font-weight:bold;">Bromley </th>< th colspan="2" style="border-top: none; border-bottom: none; padding: none;">60<br style="font-size: larger;">236,553<br style="font-size: larger;">96,594<br style="font-size: larger;">40.8<br style="font-size: larger;">73,475<br style="font-size: larger;">23,119<br style="font-size: larger;">Camden<br style="font-size: larger;">Belsize<br style="font-size: larger;">Bloomsbury<br style="font-size: larger;">Camden Town with Primrose Hill<br style="font-size: larger;">Canteloves<br style="font-size: larger;">Fortune Green<br style="font-size: larger;">Frognal and Fitzjohns<br style="font-size: larger;">Gospel Oak<br style="font-size: larger;">Hampstead Town<br style="font-size: larger;">Haverstock<br style="font-size: larger;">Highgate<br style="font-size: larger;">Holborn and Covent Garden<br style="font-size: larger;">Kentish Town<br style="font-size: larger;">Kilburn<br style="font-size: larger;">King's Cross<br style="font-size: larger;">Regent's Park<br style="font-size: larger;">St Pancras and Somers Town<br style="font-size: large">Swiss Cottage<br style="font-size: large">West Hampstead<br style="font-size: large">Camden<br style="font-size: large">54<br style="font-size: large;">155,240<br style="font-size: large;">60,046<br style="font-size: large;">38.7<br style="font-size: large;">46,513<br style="font-size: large;">13,533
</th>
</table>
<img>A table showing election results for London Borough Council elections in May 2014.</img>
<table id='table_0'>
<thead id='thead_0'>
<tr id='tr_0'>
<th rowspan='2'>Ward Name (District)</th>
<th rowspan='2'>Seats (Total)</th>
<th rowspan='2'>Electorate (Total)</th>
<th rowspan='2'>Number Voting (Total)</th>
<th rowspan='2'>% Poll (Total)</th>
<th rowspan='2'>Polling Stations (Total)</th>
<th rowspan='2'>Postal (Total)</th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
<th colspan='2' id='colspan_0'></th>
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<th colspan 'rowSpanned'><strong>Bromley </strong>(District)</strong>)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)<br>(District)
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>199</page_number>
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td colspan="8">Rejected ballot papers</td>
<td rowspan="2">Ward voting statistics</td>
</tr>
<tr>
<td>Lacking official mark</td>
<td>More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
</tr>
</thead>
<tbody>
<tr>
<td>Bromley</td>
<td>6</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>7</td>
<td>0</td>
<td>4,882</td>
<td>99.9</td>
</tr>
<tr>
<td>Biggan Hill</td>
<td>0</td>
<td>1</td>
<td>6</td>
<td>9</td>
<td>15</td>
<td>0</td>
<td>3,233</td>
<td>99.8</td>
</tr>
<tr>
<td>Bromley Common and Keston</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>9</td>
<td>15</td>
<td>0</td>
<td>4,816</td>
<td>99.7</td>
</tr>
<tr>
<td>Bromley Town</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>8</td>
<td>8</td>
<td>0</td>
<td>4,810</td>
<td>99.8</td>
</tr>
<tr>
<td>Chelesfield and Pratts Bottom</td>
<td>0</td>
<td>1</td>
<td>2</td>
<td>3</td>
<td>5,373</td>
<td>0</td>
<td>5,373</td>
<td>99.9</td>
</tr>
<tr>
<td>Cheletham</td>
<td>0</td>
<td>10</td>
<td>17</td>
<td>17</td>
<td>4,555</td>
<td>0</td>
<td>4,555</td>
<td>99.6</td>
</tr>
<tr>
<td>Clock House</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>14</td>
<td>18</td>
<td>0</td>
<td>4,974</td>
<td>99.6</td>
</tr>
<tr>
<td>Copers Cope<br>Cray Valley East<br>Cray Valley West<br>Crystal Lake<br>Darwin<br>Farnborough and Crofton<br>Hayes and Coney Hall<br>Kelsey and Eden Park<br>Mottingham and Chislehurst North1<br>Orrington<br>Pendle and Cator<br>Petts Wood and Knoll<br>Piaistow and Sundridge<br>Shortlands<br>West Wickham<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley 13 56 4 189 262 0 96,332 99.7<br>Bromley Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden Camden CamdemCamdenCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdemCamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamdelcamde
Hoborn and Covent Garden
Kensington Town
Kilburn
King's Cross
Regent's Park
St Pancras and Somers Town
Swiss Cottage
West Hampstead
<page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camden<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_number>Camdan<page_number><page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_page_
<page_number>200</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td colspan="2">Seats</td>
<td colspan="3">Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td>Electorate</td>
<td>Number</td>
<td>voting</td>
<td></td>
<td></td>
<td></td>
<td></td>
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<tbody>
<tr>
<td>Croydon</td>
<td>3</td>
<td>11,776</td>
<td>4,995</td>
<td></td>
<td>42.4</td>
<td>3,730</td>
<td>1,265</td>
<td></td>
</tr>
<tr>
<td>Ashburton</td>
<td>3</td>
<td>10,880</td>
<td>5,250</td>
<td></td>
<td>48.3</td>
<td>3,940</td>
<td>1,310</td>
<td></td>
</tr>
<tr>
<td>Bensham Manor</td>
<td>3</td>
<td>11,195</td>
<td>5,523</td>
<td></td>
<td>31.5</td>
<td>2,706</td>
<td>817</td>
<td></td>
</tr>
<tr>
<td>Broad Green</td>
<td>3</td>
<td>12,460</td>
<td>4,365</td>
<td></td>
<td>35.0</td>
<td>3,349</td>
<td>1,079</td>
<td></td>
</tr>
<tr>
<td>Coulkdon East</td>
<td>3</td>
<td>9,561</td>
<td>4,564</td>
<td></td>
<td>45.6</td>
<td>4,618</td>
<td>1,226</td>
<td></td>
</tr>
<tr>
<td>Coulkdon West</td>
<td>3</td>
<td>10,374</td>
<td>4,006</td>
<td></td>
<td>38.6</td>
<td>2,738</td>
<td>1,268</td>
<table><tbody><tr><th style="text-align: left;">Croydon:</th><th style="text-align: right;">70<br/>Ealing:</th><th style="text-align: right;">260,189<br/>241,709<br/>69<br/></th><th style="text-align: right;">100,435<br/>99,525<br/>69<br/></th><th style="text-align: right;">38.6<br/>41.2<br/>42.1<br/></th><th style="text-align: right;">73,348<br/>85,003<br/>85,003<br/></th><th style="text-align: right;">27,087<br/>14,522<br/>14,522<br/></th></tr><tr><th style="text-align: left;">Acton Central:</th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th></tr><tr><th style="text-align: left;">Cleveland:</th><th style="text-align: right;">3<br/>3<br/></th><th style="text-align: right;">10,460<br/>10,460<br/></th><th style="text-align: right;">4,154<br/>4,154<br/></th><th style="text-align: right;">39.7<br/>41.7<br/></th><th style="text-align: right;">3,793<br/>3,606<br/></th><th style="text-align: right;">361<br/>531<br/></th></tr><tr><th style="text-align: left;">Dormers Wells:</th><th style="text-align: right;">3<br/>3<br/></th><th style="text-align: right;">9,909<br/>9,909<br/></th><th style="text-align: right;">4,137<br/>4,137<br/></th><th style="text-align: right;">48.7<br/>48.7<br/></th><th style="text-align: right;">3,242<br/>3,242<br/></th><th style="text-align: right;">762<br/>762<br/></th></tr><tr><th style="text-align: left;">Ealing Broadway:</th><th style="text-align: right;">3<br/>3<br/></th><th style="text-align: right;">10,308<br/>10,308<br/></th><th style="text-align: right;">4,885<br/>4,885<br/></th><th style="text-align: right;">38.5<br/>38.5<br/></th><th style="text-align: right;">3,249<br/>3,249<br/></th><th style="text-align: right;">773<br/>773<br/></th></tr><tr><th style="text-align: left;">Ealing Common:</th><th style="text-align: right;">3<br/>3<br/></th><th style="text-align: right;">10,298<br/>10,298<br/></th><th style="text-align: right;">4,093<br/>4,093<br/></th><th style="text-align: right;">40.1<br/>40.1<br/></th><th style="text-align: right;">3,249<br/>3,249<br/></th><th style="text-align: right;">773<br/>773<br/></th></tr><tr><th style="text-align: left;">East Acton:</th><th style="text-align: right;">3<br/>3<br/></th><th style="text-align: right;">12,502<br/>12,502<br/></th><th style="text-align: right;">4,117<br/>4,117<br/></th><th style="text-align: right;">32.9<br/>32.9<br/></th><th style="text-align: right;">3,444<br/>3,444<br/></th><th style="text-align: right;">673<br/>673<br/></thalter>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>201</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td colspan="3">Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
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</thead>
<tbody>
<tr>
<td>Croydon</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Addiscombe</td>
<td>6</td>
<td>6</td>
<td>0</td>
<td>33</td>
<td>45</td>
<td>0</td>
<td>4,950</td>
<td>0</td>
<td>99.1</td>
<td></td>
<td></td>
<td></td>
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<td>Ashburton</td>
<td>0</td>
<td>18</td>
<td>0</td>
<td>33</td>
<td>51</td>
<td>0</td>
<td>5,199</td>
<td>0</td>
<td>99.0</td>
<td></td>
<td></td>
<td></td>
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<td>Bensham Manor</td>
<td>11</td>
<td>5</td>
<td>3</td>
<td>21</td>
<td>21</td>
<td>0</td>
<td>3,502</td>
<td>0</td>
<td>99.4</td>
<td></td>
<td></td>
<td></td>
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<td>Broad Green East</td>
<td>24</td>
<td>24</td>
<td>0</td>
<td>0</td>
<td>48</td>
<td>0</td>
<td>4,373</td>
<td>0</td>
<td>99.8</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> </table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody class='table_data'><tr class='header_bottom_margin'><th style='text-align: left;'></th></tr></tbody/></html>
<table border="1">
<thead border="1">
<tr border="1">
<th rowspan="2">Ward Croydon 147 225 3 356 731 99,704 99.3 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21 418 579 98,946 99.4 Ealing 3 137 21
<page_number>202</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Enfield</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bowes</td>
<td>3</td>
<td>9,362</td>
<td>3,577</td>
<td>38.2</td>
<td>2,918</td>
<td>659</td>
</tr>
<tr>
<td>Bush Hill Park</td>
<td>3</td>
<td>10,555</td>
<td>3,992</td>
<td>37.8</td>
<td>3,234</td>
<td>758</td>
</tr>
<tr>
<td>Chadwell Heath</td>
<td>3</td>
<td>9,642</td>
<td>4,115</td>
<td>42.7</td>
<td>3,311</td>
<td>804</td>
</tr>
<tr>
<td>Cockfosters</td>
<td>3</td>
<td>10,529</td>
<td>3,529</td>
<td>34.8</td>
<td>3,745</td>
<td>810</td>
</tr>
<tr>
<td>Edmonton Green</td>
<td>3</td>
<td>10,308</td>
<td>3,706</td>
<td>36.0</td>
<td>3,135</td>
<td>571</td>
</tr>
<tr>
<td>Enfield Highway</td>
<td>3</td>
<td>10,343</td>
<td>3,513</td>
<td>34.0</td>
<td>2,836</td>
<img>A pie chart showing the distribution of seats by ward.</img><br/>677
</tr>
<tr>
<th colspan="7">Enfield Lock<br/>Grange<br/>Hazelbury<br/>Highlands<br/>Jubilee<br/>Lower Edmonton<br/>Palmer's Green<br/>Ponders End<br/>Southbury<br/>Southgate<br/>Southgate Green<br/>Town<br/>Turkey Street<br/>Upper Edmonton<br/>Winchmore Hill<br/></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Enfield<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: left;">Ward<br/>Greenwich<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>203</page_number>
<table>
<thead>
<tr>
<th rowspan="2">Ward</th>
<th colspan="8">Rejected ballot papers</th>
<th rowspan="2">Ward voting statistics</th>
</tr>
<tr>
<th>Lacking official mark</th>
<th>More votes than entitled</th>
<th>Marked for identification</th>
<th>Unmarked wholly void</th>
<th>Total</th>
<th>Rejected in part</th>
<th>Total valid papers</th>
<th>% valid votes</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Enfield</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bowes</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>17</td>
<td>21</td>
<td>0</td>
<td>3,556</td>
<td>99.4</td>
</tr>
<tr>
<td>Bush Hill Park</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>14</td>
<td>18</td>
<td>0</td>
<td>3,974</td>
<td>99.5</td>
</tr>
<tr>
<td>Chase</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
<td>2</td>
<td>0</td>
<td>4,113</td>
<td>100.0</td>
</tr>
<tr>
<td>Cockfosters</td>
<td>0</td>
<td>4</td>
<td>6</td>
<td>12</td>
<td>18</td>
<td>0</td>
<td>3,493</td>
<td>99.5</td>
</tr>
<tr>
<td>Edmonton Green</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>36</td>
<td>41</td>
<td>0</td>
<td>3,665</td>
<td>98.9</td>
</tr>
<tr>
<td>Enfield Highway</td>
<td>0</td>
<td>5</td>
<td>11</td>
<td>17</td>
<td>28</td>
<td>0</td>
<td>3,496</td>
<td>99.5</td>
</tr>
<tr>
<td>Enfield Lock</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>5</td>
<td>8</td>
<td>0</td>
<td>3,902</td>
<td>99.8</td>
</tr>
<tr>
<td>Grangetown Highfields Jubilee Lower Edmonton Palmers Green Ponders End Southbury Southgate Green Town Turkey Street Upper Edmonton Winchmore Hill Enfield <strong style="color: blue;">5 72 8 206 291 0 79,876 99.6 </strong></table>
<table id='table_1'>
<thead id='table_1__header'>
<tr id='table_1__header_row'>
<th rowspan='2'>Ward<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color: blue;">Greenwich<br><strong style="color:blue;"="">Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></table>
<table id='table_2'>
<thead id='table_2__header'>
<tr id='table_2__header_row'>
<th rowspan='2'>Ward
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<em>(<u>Election results table header row with ward names)</u>)<br/>
<table id='table_3'>
<thead id='table_3__header'>
<tr id='table_3__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_4'>
<thead id='table_4__header'>
<tr id='table_4__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_5'>
<thead id='table_5__header'>
<tr id='table_5__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_6'>
<thead id='table_6__header'>
<tr id='table_6__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_7'>
<thead id='table_7__header'>
<tr id='table_7__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_8'>
<thead id='table_8__header'>
<tr id='table_8__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_9'>
<thead id='table_9__header'>
<tr id='table_9__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_10'>
<thead id='table_10__header'>
<tr id='table_10__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_11'>
<thead id='table_11__header'>
<tr id='table_11__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_12'>
<thead id='table_12__header'>
<tr id='table_12__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_13'>
<thead id='table_13__header'>
<tr id='table_13__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_14'>
<thead id='table_14__header'>
<tr id='table_14__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_15'>
<thead id='table_15__header'>
<tr id='table_15__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_16'>
<thead id='table_16__header'>
<tr id='table_16__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_17'>
<thead id='table_17__header'>
<tr id='table_17__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_18'>
<thead id='table_18__header'>
<tr id='table_18__header_row'>
<th rowspan='2'>Ward
(Enfield Highwaysouthbury southgate green town turkey street upper edmonton winchmore hill enfield <br/></th>
<table id='table_19'>
<thead id='table_19__header'>
<tr id='table_19__header_row'>
<th rowspan '
<page_number>204</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td colspan="2">Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Hackney</td>
<td>2</td>
<td>6,226</td>
<td>2,513</td>
<td>40.4</td>
<td>1,893</td>
<td></td>
<td>620</td>
</tr>
<tr>
<td>Brownsworth</td>
<td>3</td>
<td>9,063</td>
<td>4,470</td>
<td>49.3</td>
<td>2,391</td>
<td></td>
<td>2,079</td>
</tr>
<tr>
<td>Cazenove</td>
<td>3</td>
<td>9,360</td>
<td>4,226</td>
<td>45.1</td>
<td>3,151</td>
<td></td>
<td>1,075</td>
</tr>
<tr>
<td>Cissold</td>
<td>2</td>
<td>6,306</td>
<td>2,237</td>
<td>35.5</td>
<td>1,693</td>
<td></td>
<td>544</td>
</tr>
<tr>
<td>Dalston</td>
<td>2</td>
<td>5,665</td>
<td>235.7</td>
<td>38.6</td>
<td>1,897</td>
<table><tbody><tr><th style="text-align: right;">Hackney Central:</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central (Hackney)</th><th style="text-align: right;">Hackney Central ( Hack ney) </table></tr></table></tr>
<tr class='row_heading_odd'>
<td>Hackney Downs:</table></tr>
<tr class='row_heading_even'>
<td>Hackney Wick:</table></tr>
<tr class='row_heading_odd'>
<td>Haggerston:</table></tr>
<tr class='row_heading_even'>
<td>Hoxton East & Shoreditch:</table></tr>
<tr class='row_heading_odd'>
<td>Hoxton West:</table></tr>
<tr class='row_heading_even'>
<td>King's Park:</table></tr>
<tr class='row_heading_odd'>
<td>Lee Bridge:</table></tr>
<tr class='row_heading_even'>
<td>London Fields:</table></tr>
<tr class='row_heading_odd'>
<td>Shacklewell:</table></tr>
<tr class='row_heading_even'>
<td>Springfield:</table></tr>
<tr class='row_heading_odd'>
<td>Sutton Hill West:</table></tr>
<tr class='row_heading_even'>
<td>Tottenham Hale:</table></tr>
<tr class='row_heading_odd'>
<td>Victoria:</table></tr>
<tr class='row_heading_even'>
<td>Woodberry Down:</table></tr>
<tr class='row_heading_odd'>
<td>Hackney:</table></tr>
<tr class='row_heading_even'>
<td>Hammersmith and Fulham:</table></tr>
<tr class='row_heading_odd'>
<td>Addison:</table></tr>
<tr class='row_heading_even'>
<td>Akew:</table></tr>
<tr class='row_heading_odd'>
<td>Awernore and Brook Green:</table></tr>
<tr class='row_heading_even'>
<td>College Park and Old Oak:</table></tr>
<tr class='row_heading_odd'>
<td>Fulham Broadway:</table></tr>
<tr class='row_heading_even'>
<td>Fulham Reach:</table></tr>
<tr class='row_heading_odd'>
<td>Hammersmith Broadway:</table></tr>
<tr class='row_heading_even'>
<td>Muntz:</table></tr>
<tr class='row_heading_odd'>
<td>North End:</table></tr>
<tr class='row_heading_even'>
<td>Palace Riverside:</table></tr>
<tr class='row_heading_odd'>
<td>Parsons Green and Walham:</table></tr>
<tr class='row_heading_even'>
<td>Ravenscourt Park:</table></tr>
<tr class='row_heading_odd'>
<td>Sands End:</table></tr>
<tr class='row_heading_even'>
<td>Shepherd's Bush Green:</table></tr>
<tr class='row_heading_odd'>
<td>Town:</table></tr>
<tr class='row_heading_even'>
<td>Wormholt and White City:</table></tr>
<tr class='row_heading_odd'>
<td>Hammersmith and Fulham:</table></tr>
<table id=tabular_data_00000000 cellspacing=1 cellpadding=1 border=1 align=center summary="">
<thead id=header_00000000_row_0 colspan=8 align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=auto width=auto data_cell_type=html data_table_id=tabular_data_00000000 data_table_name=tabular_data_00000000 data_table_caption="">
<th colspan=8 align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=auto width=auto data_cell_type=html data_table_id=tabular_data_00000000 data_table_name=tabular_data_00000000 data_table_caption="">Ward voting statistics<table id=row_0_col_1 colspan=8 align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=auto width=auto data_cell_type=html data_table_id=row_0_col_1 data_table_name=row_0_col_1 data_table_caption=""><thead id=row_0_col_1_header colspan=8 align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=auto width=auto data_cell_type=html data_table_id=row_0_col_1 data_table_name=row_0_col_1 data_table_caption=""><tr id=row_0_col_1_row_0 colspan=8 align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=auto width=auto data_cell_type=html data_table_id=row_0_col_1 data_table_name=row_0_col_1 data_table_caption=""><tbody id=row_0_col_1_body rowspan=8 colspan=8 align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=auto width=auto data_cell_type=html data_table_id=row_0_col_1 data_table_name=row_0_col_1 data_table_caption=""><tr id=row_0_col_1_row_<page_number>8</page_number> colspan=<page_number>8</page_number> align=center valign=top textalign=center border=1 cellspacing=1 cellpadding=1 height=<page_number>auto</page_number> width=<page_number>auto</page_number> data_cell_type=text data_table_id=row_<page_number>_col_<page_number> data_table_name=row_<page_number>_col_<page_number> data_table_caption=""><div id=row_<page_number>_col_<page_number>_cell_<page_number>>data_<page_number>_col_<page_number>_cell_<page_number>> align=center valign=top textalign=center border=1 cellspacing=<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page_number>_cell_<page number="_">data_value="" _=""></div></tbody></table></thead><tbody id=row_8_col_8_body rowspan=<total_rows>=<total_rows>=<total_columns>=<total_columns>=<total_cells>=<total_cells>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_pages>=<total_cells colspan=<column_count>>data_value="" _=""></div></tbody></table></thead><tbody id=row_body rowspan=<rows_count>>align=center valign=top textalign=center border=<border_count>> cellspacing=<border cellspacing_count>> cellpadding=<border cellpadding_count>> height=<border_height>> width=<border_width>> data_cell_type=text data_table_id=row_body data_table_name=row_body data_table_caption=""><div id=row_body_cell_data_value="" _=""></div></tbody></table></thead><tbody id=row_body_body rowspan=<rows_count>>align=center valign=top textalign=center border=<border_count>> cellspacing=<border cellspacing_count>> cellpadding=<border cellpadding_count>> height=<border_height>> width=<border_width>> data_cell_type=text data_table_id=row_body_body data_table_name=row_body_body data_table_caption=""><div id=row_body_body_cell_data_value="" _=""></div></tbody></table/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>205</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td colspan="2">Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Hackney</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>12</td>
<td>12</td>
<td>0</td>
<td>2,501</td>
<td>99.5</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brownswood</td>
<td>0</td>
<td>7</td>
<td>0</td>
<td>16</td>
<td>17</td>
<td>0</td>
<td>4,447</td>
<td>99.5</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Cazenove</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>17</td>
<td>17</td>
<td>0</td>
<td>4,209</td>
<td>99.6</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Cissold</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>6</td>
<td>6</td>
<td>0</td>
<td>2,231</td>
<td>99.7</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Dalston</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>13</td>
<td>18</td>
<td>0</td>
<td>2,568</td>
<td>99.3</td>
<td></td>
<td></td>
</tr>
<tr>
<td>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></strong><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><img>A table showing rejected ballot papers for London Borough Council elections May 2014.</img></table>
<table border="1">
<thead border="1">
<tr border="1">
<th>Hammersmith and Fulham <strong>Hammersmith and Fulham 0 70 4 339 413 0 48,714 99.2 </strong></th>
<th>Addison<br>Akew<br>Aw commons and Brook Green<br>College Park and Old Oak<br>Fulham Broadway<br>Fulham Reach<br>Hammersmith Broadway<br>Munster<br>North End<br>Palace Riverside<br>Parsons Green and Walham<br>Ravenscourt Park<br>Sindall Park<br>Shepherd's Bush Green<br>Town<br>Wormholt and White City <strong>Hammersmith and Fulham 0 5 7 13 0 2,967 99.6 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham 0 34 1 332 367 0 68,622 99.5 </strong></th>
<th>Brownswood<br>Cazenove<br>Cissold<br>Dalston<br>De Beauvoir Hackney Central Hackney Downs Hackney Wick Haggerston Hornsey Hoxton East & Shoreditch Hoxton West King's Park Lea Bridge London Fields Shacklewell Springfield Stanford Hill West Stoke Newington Victoria Woodberry Down Hackney <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammersmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <strong>Hammerssmith and Fulham <str
<page_number>206</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Haringey</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Alexandra</td>
<td>3</td>
<td>8,531</td>
<td>4,125</td>
<td>48.4</td>
<td>3,440</td>
<td>685</td>
</tr>
<tr>
<td>Bounds Green</td>
<td>3</td>
<td>9,365</td>
<td>3,540</td>
<td>37.8</td>
<td>2,847</td>
<td>693</td>
</tr>
<tr>
<td>Bruce Grove</td>
<td>3</td>
<td>9,495</td>
<td>2,896</td>
<td>30.5</td>
<td>2,488</td>
<td>408</td>
</tr>
<tr>
<td>Crouch End</td>
<td>3</td>
<td>9,575</td>
<td>4,194</td>
<td>43.8</td>
<td>3,397</td>
<td>797</td>
</tr>
<tr>
<td>Fortho Green</td>
<td>3</td>
<td>9,382</td>
<td>4,194</td>
<td>42.4</td>
<td>3,015</td>
<td>851</td>
</tr>
<tr>
<td>Harringey Highgate</td>
<td>3</td>
<td>9,139</td>
<td>3,701</td>
<td>40.5</td>
<td>3,250</td>
<td>451</td>
</tr>
<tr>
<td>Highgate Hornsey Muswell Hill Noel Park Northumberland Park St. Ann's Seven Sisters Stroud Green Tottenham Green Tottenham Hale West Green White Hart Lane Woodside Haringey Harrow Belmore Canons Edgware Greenhill Harrow Wealden Harrow Wealden Hatch End Headstone North Headstone South Kenton West Kenton West Marlborough Pinner Primrose South Queensbury Rayners Lane Roxbourne Roethel Stanmore Park Wealdstone West Harrow Harrow Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey Haringey
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harringeys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style="font-size: large;">Harroneys
</table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td colspan="7" style=""
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>207</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td colspan="2">Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid papers</td>
<td>Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Haringey</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Alexandra</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>21</td>
<td>23</td>
<td>0</td>
<td>4,102</td>
<td>99.4</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bounds Green</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>14</td>
<td>17</td>
<td>0</td>
<td>3,523</td>
<td>99.5</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bruce Grove</td>
<td>0</td>
<td>12</td>
<td>0</td>
<td>16</td>
<td>28</td>
<td>0</td>
<td>2,868</td>
<td>99.0</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Crouch End</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>15</td>
<td>15</td>
<td>0</td>
<td>4,179</td>
<td>99.6</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Forts Green</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>4</td>
<td>7</td>
<td>0</td>
<td>3,863</td><span style="color:red;">99.8%</span><br><span style="color:green;">99.6%</span><br><span style="color:blue;">99.6%</span><br><span style="color:magenta;">99.6%</span><br><span style="color:brown;">99.6%</span><br><span style="color:purple;">99.6%</span><br><span style="color:orange;">99.6%</span><br><span style="color:gray;">99.6%</span><br><span style="color:olive;">99.6%</span><br><span style="color:teal;">99.6%</span><br><span style="color:violet;">99.6%</span><br><span style="color:navy;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span><br><span style="color:darkred;">99.6%</span><br><span style="color:darkmagenta;">99.6%</span><br><span style="color:darkblue;">99.6%</span><br><span style="color:darkgreen;">99.6%</span></tr>
<tr class='highlight'>
<th>Harrow<br>Haringey<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow<br>Harrow
<tr class='highlight'>
<th colspan='13'>Haringey 0 113 2 458 573 2 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516 73,516
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='13'>Haringey
<tr class='highlight'>
<th colspan='
<page_number>208</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Havering</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brooklands</td>
<td>3</td>
<td>11,836</td>
<td>4,714</td>
<td>39.8</td>
<td>3,540</td>
<td>1,174</td>
</tr>
<tr>
<td>Cranham</td>
<td>3</td>
<td>10,213</td>
<td>4,855</td>
<td>47.5</td>
<td>3,272</td>
<td>1,128</td>
</tr>
<tr>
<td>Elm Park</td>
<td>3</td>
<td>9,858</td>
<td>4,349</td>
<td>44.1</td>
<td>3,503</td>
<td>846</td>
</tr>
<tr>
<td>Emerson Park</td>
<td>3</td>
<td>9,700</td>
<td>4,431</td>
<td>45.7</td>
<td>3,339</td>
<td>1,092</td>
</tr>
<tr>
<td>Goorhans</td>
<td>3</td>
<td>10,552</td>
<td>4,680</td>
<td>46.6</td>
<td>3,647</td>
<td>1,033</td>
</tr>
<tr>
<td>Jacton</td>
<td>3</td>
<td>10,049</td>
<td>4,680</td>
<td>46.6</td>
<td>3,647</td>
<td>1,033</td>
</tr>
<tr>
<td Harold Wood </th><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr><tr><th colspan="6"></th></tr>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Havering </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr>
<th style='text-align:left;'>Hillington </table>
<table border='1'>
<thead>
<tr
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>209</page_number>
<table>
<thead>
<tr>
<th rowspan="2">Ward</th>
<th colspan="8">Rejected ballot papers</th>
<th rowspan="2">Ward voting statistics</th>
</tr>
<tr>
<th>Lacking official mark</th>
<th>More votes than entitled</th>
<th>Marked for identification</th>
<th>Unmarked wholly void</th>
<th>Total</th>
<th>Rejected in part</th>
<th>Total valid papers</th>
<th>% valid votes</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Havering</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brooklands</td>
<td>0</td>
<td>7</td>
<td>0</td>
<td>10</td>
<td>17</td>
<td>0</td>
<td>4,697</td>
<td>99.6</td>
</tr>
<tr>
<td>Cranham</td>
<td>0</td>
<td>3</td>
<td>2</td>
<td>7</td>
<td>12</td>
<td>0</td>
<td>4,843</td>
<td>99.8</td>
</tr>
<tr>
<td>Elm Park</td>
<td>12</td>
<td>8</td>
<td>0</td>
<td>20</td>
<td>20</td>
<td>0</td>
<td>4,329</td>
<td>99.5</td>
</tr>
<tr>
<td>Emerson Park</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>11</td>
<td>15</td>
<td>0</td>
<td>4,416</td>
<td>99.7</td>
</tr>
<tr>
<td>Gosshays</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>5</td>
<td>9</td>
<td>0</td>
<td>3,853</td>
<td>99.7</td>
</tr>
<tr>
<td>Hacton</td>
<td>0</td>
<td>10</td>
<td>0</td>
<td>2</td>
<td>12</td>
<td>0</td>
<td>4,668</td>
<td>99.7</td>
</tr>
<tr>
<td Harold Wood<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>Havering Park<br>HavingerPark.</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;">Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
Heaton
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Hillington.
Hillington.</th><th style="text-align: right;">0<sup style="color: red;">*</sup></th><th style="text-align: right;">4<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style="color: red;">*</sup></th><th style="text-align: right;">14<sup style=""></table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan='2'>Ward Voting Statistics:</table>
<table cellspacing='0' cellpadding='0'>
<tr id='table_thead'>
<th rowspan('
210
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<th rowspan="2">Ward</th>
<th rowspan="2">Seats</th>
<th rowspan="2">Electorate</th>
<th rowspan="2">Number voting</th>
<th rowspan="2">% poll</th>
<th colspan="2">Polling stations</th>
<th rowspan="2">Postal</th>
</tr>
<tr>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Hounslow</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bedfont</td>
<td>3</td>
<td>9,791</td>
<td>3,672</td>
<td>37.5</td>
<td>2,685</td>
<td>987</td>
<td></td>
</tr>
<tr>
<td>Brentford</td>
<td>3</td>
<td>11,416</td>
<td>3,948</td>
<td>34.6</td>
<td>3,086</td>
<td>862</td>
<td></td>
</tr>
<tr>
<td>Chiswick Homefields</td>
<td>3</td>
<td>8,465</td>
<td>3,310</td>
<td>39.1</td>
<td>2,486</td>
<td>824</td>
<td></td>
</tr>
<tr>
<td>Chiswick Riverside</td>
<td>3</td>
<td>8,839</td>
<td>3,539</td>
<td>40.0</td>
<td>2,704</td>
<td>834</td>
<td></td>
</tr>
<tr>
<td>Cranford</td>
<td>3</td>
<td>9,468</td>
<td>3,448</td>
<td>36.4</td>
<td>2,390</td>
<td>1,058</td>
<td></td>
</tr>
<tr>
<td>Feltham North</td>
<td>3</td>
<td>8,629</td>
<td>3,215</td>
<td>37.3</td>
<td>2,253</td>
<td>862</td>
<td></td>
</tr>
<tr>
<td>Feltham West</td>
<td>3</td>
<td>10,775</td>
<td>3,487</td>
<td>32.4</td>
<td>2,655</td>
<td>832</td>
<td></td>
</tr>
<tr>
<td>Haworth Park South East (Haworth)</td>
<td>3</td>
<td>8,657</td>
<td>2,936</td>
<td>33.9</td><td>2,214<br/>724<br/></td><td></td><td></td><br/><br/></tr><br/>
<tr><th colspan="8"><strong>Hounslow Central (Haworth)</strong></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr><tr><th colspan="8"></th></tr>
<table border='1'>
<thead style='text-align:center;'>
<tr style='background-color:#cccccc;'>
<th style='text-align:left;'>Ward voting statistics<br/>Hounslow<br/>Islington<br/>Islington<br/>Barnsbury<br/>Bunhill<br/>Caledonian<br/>Canonbury<br/>Clerkenwell<br/>Finsbury Park<br/>Highbury East<br/>Highbury West<br/>Hillside<br/>Holloway<br/>Junction<br/>Mildmay<br/>St. George's<br/>St. Mary's<br/>St. Peter's<br/>Tollington<br/>Islington 48 155,282 59,597 36.4 46,823 12,774 191,590 70,517 36.6 54,120 16,397 9,072 3,614 39.8 2,599 1,015 10,464 3,535 33.8 2,736 799 9,829 3,589 36.5 2,799 790 3,006 1,500 37.1 2,554 799 3,443 1,317 37.7 2,470 713 10,763 3,993 37.1 3,327 666 9,157 4,051 44.2 3,168 883 11,994 4,799 45.7 2,900 926 3,857 4,708 41.9 2,990 718 11,212 4,135 36.9 3,275 860 9,116 3,498 38.4 2,615 683 9,575 4,000 36.7 2,761 764
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>211</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td colspan="2">Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Hounslow</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bedfont</td>
<td>0</td>
<td>7</td>
<td>0</td>
<td>29</td>
<td>36</td>
<td>0</td>
<td>3,636</td>
<td>99.0</td>
<td></td><td></td><td></td>
</tr>
<tr>
<td>Brentford</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>8</td>
<td>12</td>
<td>2</td>
<td>3,936</td>
<td>99.7</td><td></td><td></td><td></td>
</tr>
<tr>
<td>Chiswick Homefields</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>20</td>
<td>24</td>
<td>0</td>
<td>3,286</td><td>99.3</td><td></td><td></td><td></td>
</tr>
<tr>
<td>Chiswick Riverside</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>13</td>
<td>13</td><td>0</td><td>3,556</td><td>99.4</td><td></td><td></td><td></td>
</tr>
<tr>
<td>Cranford</td>
<td>0</td>
<td>8</td>
<td>0</td>
<td>15</td><th colspan="2">26<br/>3<br/></th><th>3,422<br/>99.2<br/></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="border-top: 1px solid black;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Hounslow South West </table>
<table border "1" cellspacing = "2" cellpadding = "2" width = "55%">
<tbody id = "tbody_id_4" class = "tbody_id_4" align = "center" valign = "top" >
<tr id = "row_id_4" class = "row_id_4" align = "center" valign = "top" >
<div id = "cell_4_4" class = "cell_4_4" align = "center" valign = "top" >Hounslow South West </div> <div id = "cell_4_5" class = "cell_4_5" align = "center" valign = "top" >Hounslow South West </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>&nb
<page_number>212</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td colspan="2">Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Kensington and Chelsea</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Abingdon</td>
<td>3</td>
<td>5,875</td>
<td>1,772</td>
<td>30.2</td>
<td>1,188</td>
<td>584</td>
<td></td>
</tr>
<tr>
<td>Brompton and Hans Town</td>
<td>3</td>
<td>6,704</td>
<td>1,626</td>
<td>24.3</td>
<td>1,011</td>
<td>615</td>
<td></td>
</tr>
<tr>
<td>Campden</td>
<td>3</td>
<td>6,071</td>
<td>1,837</td>
<td>30.3</td>
<td>1,231</td>
<td>606</td>
<td></td>
</tr>
<tr>
<td>Chelsea Riverside</td>
<td>3</td>
<td>6,313</td>
<td>1,700</td>
<td>26.9</td>
<td>1,143</td>
<td>557</td>
<td></td>
</tr>
<tr>
<td>Cobblestone</td>
<td>3</td>
<td>5,615</td>
<td>1,519</td>
<td>32.0</td>
<td>1,699</td>
<td>417</td>
<td></td>
</tr>
<tr>
<td>Courtfield</td>
<td>3</td>
<td>6,851</td>
<td>1,700</td>
<td>24.8</td>
<td>1,143</td>
<td>557</td>
<td></td>
</tr>
<tr>
<td>Dalgarno</td>
<td>2</td>
<td>4,592</td>
<td>1,568</td>
<td>34.1</td>
<td>1,304</td>
<td>264</td>
<td></td>
</tr>
<tr>
<td>Earl's Court</td>
<td>3</td>
<td>6,733</td>
<td>2,138</td>
<td>31.8</td>
<td>1,607</td>
<td>531</td>
<td></td>
</tr>
<tr>
<td>Golborne</td>
<td>3</td>
<td>6,150</td>
<td>187.2</td>
<td>28.8</td>
<td>1,510</td>
<td>265</td>
<td></td>
</tr>
<tr>
<td>Holland<br>Norland<br>Nothing Dale<br>Pembridge<br>South<br>Tunbridge<br>Tunbridge<br>Vale<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetland<br>Zetla...<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><...<table>
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<tr>
<th rowspan="2">Ward voting statistics:</th>
<th rowspan="2">Seats:</th>
<th rowspan="2">Electorate:</th>
<th rowspan="2">Number voting:</th>
<th rowspan="2">% poll:</th>
<th colspan="2">Ballot papers:</th>
<th rowspan="2">Postal:</th>
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<table bor...
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>213</page_number>
<table>
<thead>
<tr>
<td colspan="10">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
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<tr>
<td><strong>Kensington and Chelsea</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Abingdon</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>14</td>
<td>17</td>
<td>0</td>
<td>1,755</td>
<td>99.0</td>
</tr>
<tr>
<td>Brompton and Hans Town</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>17</td>
<td>17</td>
<td>0</td>
<td>1,609</td>
<td>99.0</td>
</tr>
<tr>
<td>Campden</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>19</td>
<td>21</td>
<td>0</td>
<td>1,816</td>
<td>98.9</td>
</tr>
<tr>
<td>Chelsea Riverside</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>17</td>
<td>0</td>
<td>1,683</td>
<td>99.0</td>
</tr>
<tr>
<td>Colville</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>11</td>
<td>16</td>
<td>0</td>
<td>2,100</td>
<td>99.3</td>
</tr>
<tr>
<td>Courthield</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>27</td>
<td>27</td>
<td>0</td>
<td>1,673</td>
<td>98.4</td>
</tr>
<tr>
<td>Dalgarno</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>2</td>
<td>5</td>
<td>0</td>
<td>1,563</td>
<td>99.7</td>
</tr>
<tr>
<td>Earl's Court</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>14</td>
<td>15</td>
<td>0</td>
<td>2,123</td><span style="color:red;">99.3 (highlighted)</span><br><span style="color:green;">(actual value)</span><br><span style="color:blue;">(expected value)</span><br><span style="color:magenta;">(calculated value)</span><br><span style="color:purple;">(estimated value)</span><br><span style="color:brown;">(predicted value)</span><br><span style="color:orange;">(estimated range)</span><br><span style="color:gray;">(average value)</span><br><span style="color:purple;">(calculated average)</span><br><span style="color:blue;">(calculated expected)</span><br><span style="color:green;">(calculated actual)</span><br><span style="color:red;">(calculated highlighted)</span><br><span style="color:black;">(calculated overall)</span><br><span style="color:gray;">(calculated overall average)</span><br><span style="color:gray;">(calculated overall expected)</span><br><span style="color:gray;">(calculated overall actual)</span><br><span style="color:gray;">(calculated overall highlighted)</span><br><span style="color:gray;">(calculated overall average highlighted)</span><br><span style="color:gray;">(calculated overall expected highlighted)</span><br><span style="color:gray;">(calculated overall actual highlighted)</span><br><span style="color:gray;">(calculated overall average actual)</span><br><span style="color:gray;">(calculated overall average expected)</span><br><span style="color:gray;">(calculated overall average actual highlighted)</span><br><span style="color:gray;">(calculated overall average expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span><br><span style="color:gray;">(calculated overall average actual expected highlighted)</span></tr>
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<tr class='table_header'>
<th colspan='10'>Ward voting statistics<br>(% valid votes only - no totals shown for wards with less than 5 valid votes)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in the election.)<br>(Calculated values may differ slightly from the displayed values due to rounding.)<br>(Expected values are calculated based on the total number of votes cast in the election.)<br>(Actual values are the number of valid votes cast in each ward.)<br>(Highlighted values indicate that the ward has more valid votes than the number of votes cast in
<page_number>214</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Lambeth</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bishop's</td>
<td>3</td>
<td>7,586</td>
<td>2,800</td>
<td>36.9</td>
<td>2,172</td>
<td>628</td>
</tr>
<tr>
<td>Brixton Hill</td>
<td>3</td>
<td>11,412</td>
<td>3,588</td>
<td>31.4</td>
<td>3,012</td>
<td>576</td>
</tr>
<tr>
<td>Clapham Common</td>
<td>3</td>
<td>8,895</td>
<td>2,944</td>
<td>29.8</td>
<td>2,205</td>
<td>737</td>
</tr>
<tr>
<td>Clapham Town</td>
<td>3</td>
<td>10,759</td>
<td>3,534</td>
<td>33.7</td>
<td>3,782</td>
<td>847</td>
</tr>
<tr>
<td>Coldharbour</td>
<td>3</td>
<td>11,522</td>
<td>3,534</td>
<td>30.7</td>
<td>2,904</td>
<td>625</td>
</tr>
<tr>
<td>Ferndale</td>
<td>3</td>
<td>11,453</td>
<td>3,145</td>
<td>27.5</td>
<td>2,564</td>
<td>581</td>
</tr>
<tr>
<td>Gipsy Hill</td>
<td>3</<td><span style="color: #FF0000;">10,136<br/>11,315<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF0000;">3,816<br/>4,597<br/>40.6<br/>3,905<br/>692<br/></span></th><th><span style="color: #FF000; font-weight:bold;">Lewisham (B)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (A)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (C)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (D)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (E)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (F)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (G)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (H)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (I)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (J)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (K)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (L)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (M)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (N)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (O)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (P)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (Q)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (R)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (S)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (T)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (U)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (V)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (W)</span></th><th><span style="color: #FFD7EED; font-weight:bold;">Lewisham (X)</span></th><th colspan='1' rowspan='1' align='right'><strong>Lewisham (Y)</strong>:<br/><strong>Lewisham (Z)</strong>:<br/><strong>Lewisham (AA)</strong>:<br/><strong>Lewisham (AB)</strong>:<br/><strong>Lewisham (AC)</strong>:<br/><strong>Lewisham (AD)</strong>:<br/><strong>Lewisham (AE)</strong>:<br/><strong>Lewisham (AF)</strong>:<br/><strong>Lewisham (AG)</strong>:<br/><strong>Lewisham (AH)</strong>:<br/><strong>Lewisham (AI)</strong>:<br/><strong>Lewisham (AJ)</strong>:<br/><strong>Lewisham (AK)</strong>:<br/><strong>Lewisham (AL)</strong>:<br/><strong>Lewisham (AM)</strong>:<br/><strong>Lewisham (AN)</strong>:<br/><strong>Lewisham (AO)</strong>:<br/><strong>Lewisham (AP)</strong>:<br/><strong>Lewisham (AQ)</strong>:<br/><strong>Lewisham (AR)</strong>:<br/><strong>Lewisham (AS)</strong>:<br/><strong>Lewisham (AT)</strong>:<br/><strong>Lewisham (AU)</strong>:<br/><strong>Lewisham (AV)</strong>:<br/><strong>Lewisham (AW)</strong>:<br/><strong>Lewisham (AX):<br/><strong>Lewisham (AY):<br/><strong>Lewisham (AZ):<br/><strong>Lewisham (BA):<br/><strong>Lewisham (BB):<br/><strong>Lewishim:</strong>(BC):<br/><strong>Lewishim:</strong>(BD):<br/><strong>Lewishim:</strong>(BE):<br/><strong>Lewishim:</strong>(BF):<br/><strong>Lewishim:</strong>(BG):<br/><strong>Lewishim:</strong>(BH):<br/><strong>Lewishim:</strong>(BI):<br/><strong>Lewishim:</strong>(BJ):<br/><strong>Lewishim:</strong>(BK):<br/><strong>Lewishim:</strong>(BL):<br/><strong>Lewishim:</strong>(BM):<br/><<strong>Lewishim:</strong>(BN):<br/><<strong>Lewishim:</strong>(BO):<br/><<strong>Lewishim:</strong>(BP):<br/><<strong>Lewishim:</strong>(BQ):<br/><<strong>Lewishim:</strong>(BR):<br/><<strong>Lewishim:</strong>(BS):<br/><<strong>Lewishim:</strong>(BT):<br/><<strong>Lewishim:</strong>(BU):<br/><<strong>Lewishim:</strong>(BV):<br/><<strong>Lewishim:</strong>(BW):<br/><<strong>Lewishim:</strong>(BX)<br/></table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Lambeth Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewisham Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame Lewishame
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth Lambeth
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='1'>
<td rowspan='2'>Ward Bellingham Blackheath Brockley Catford South Crofton Park Downham Evelyn Forest Hill Grove Park Ladywell Lee Green Lewisham Central New Cross Perry Vale Rushey Green Sydenham Telegraph Hill Whitefoot
<table border='1'>
<thead border='1'>
<tr border='border-bottom-very-thin' colspan= 'row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span= "row-span-
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>215</page_number>
<table>
<thead>
<tr>
<th></th>
<th colspan="8">Rejected ballot papers</th>
<th></th>
<th></th>
<th></th>
</tr>
<tr>
<th>Ward</th>
<th>Lacking official mark</th>
<th>More votes than entitled</th>
<th>Marked for identification</th>
<th>Unmarked wholly void</th>
<th>Total</th>
<th>Rejected in part</th>
<th>Total valid papers</th>
<th>% valid votes</th>
<th></th>
<th></th>
<th>Ward voting statistics</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Lambeth</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bishop's</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>2,800</td>
<td>100.0</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brixton Hill</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>11</td>
<td>11</td>
<td>0</td>
<td>3,577</td>
<td>99.7</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Clapham Common</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>9</td>
<td>11</td>
<td>0</td>
<td>2,933</td>
<td>99.6</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Clapham Town</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>7</td>
<td>8</td>
<td>0</td>
<td>3,636</td>
<td>99.4</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Coldharbour Ferndale</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>14</td>
<td>20</td>
<td>0</td>
<td>3,514</td>
<td>99.4</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Gipsy Hill<br>Herne Hill<br>Knight's Hill<br>Larkhall Oval Prince's Stockwell Streatham Hill Streatham South Streatham Wells Thornton Thurlow Park Tulse Hill Vassall Lambeth <strong style="color: red;">0 69 0 257 344 18 76,676 99.6 </strong></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nLewisham\nBellingham\nBlackheath\nBrookside\nCatford South\nCrofton Park\nDownham\nEvelyn\nForest Hill\nGrove Park\nLadywell\nLee Green\nLewisham Central\nNew Cross\nPerry Vale\nRushey Green\nSydenham\nTelegraph Hill\nWhitefoot\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654 99.3 </strong>\nLewisham <strong style="color: red;">2 109 0 379 492 2 72,654
<page_number>216</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Merton</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Abbey</td>
<td>3</td>
<td>7,575</td>
<td>3,284</td>
<td>43.4</td>
<td>2,734</td>
<td>550</td>
</tr>
<tr>
<td>Cannon Hill</td>
<td>3</td>
<td>7,125</td>
<td>3,512</td>
<td>49.3</td>
<td>2,937</td>
<td>575</td>
</tr>
<tr>
<td>Colliers Wood</td>
<td>3</td>
<td>8,019</td>
<td>3,006</td>
<td>37.5</td>
<td>2,626</td>
<td>380</td>
</tr>
<tr>
<td>Cricket Green</td>
<td>3</td>
<td>8,044</td>
<td>3,225</td>
<td>40.1</td>
<td>2,778</td>
<td>447</td>
</tr>
<tr>
<td>Dundonald</td>
<td>3</td>
<td>5,639</td>
<td>2,067</td>
<td>44.7</td>
<td>1,519</td>
<td>598</td>
</tr>
<tr>
<td>Figge's Marsh</td>
<td>3</td>
<td>8,243</td>
<td>3,113</td>
<td>37.8</td>
<td>2,735</td>
<td>378</td>
</tr>
<tr>
<td>Graveney</td>
<td>3</td>
<td>7,288</td>
<td>2,826</td>
<td>38.8</td>
<td>2,537</td>
<td>289</td>
</tr>
<tr>
<td>Hillside</td>
<td>3</td>
<td>6,658</td>
<td>2,545</td>
<td>38.2</ td><th colspan="2">1,925<br/>620<br/></th><th rowspan="2">391<br/>437<br/></th><th rowspan="2">478<br/>589<br/></th><th rowspan="2">449<br/>645<br/></th><th rowspan="2">455<br/></th><th rowspan="2">629<br/></th><th rowspan="2">691<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><th rowspan="2">710<br/></th><tbody>
<tr>
<td>Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham Central East Ham North East Ham South Forest Gate North Forest Gate South Green Street East Green Street West Little Ilford Manor Park Plaistow North Plaistow South Royal Docks Stratford and New Town Wall End West Ham Newham Merton Newham Beckton Boleyn Cannning Town North Cannings Town South Custom House East Ham CentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlfordManorParkPlaistowNorthPlaistowSouthRoyalDocksStratfordandNewTownWallEndWestHamNewhamMertonNewhamBecktonBoleynCannningTownNorthCanningsTownSouthCustomHouseEastHamCentralEastHamNorthEastHamSouthForestGateNorthForestGateSouthGreenStreetEastGreenStreetWestLittleIlordManorParkPlaistownorthPlaiestowsouthRoyalDocksStratforndandnewtownWallEndWestHammewharnMertonN ewharnBecktonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE 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arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rhtForrestG ateSo utG reenStre etE astGre enStre etW estL ittleIlf ordMano rP arkP lai st owNo rhtP lai st owSo utR oyalD ocksS tratfo ndan dNe wto wnWa llEn dWe stH amN ewharnMert onN ewharnBeck tonB oley CanningT ownNo rht CanningT ownSouthCustomHo useE astHa mCentr alE astHa mNor thE astHa mSo ut H ForrestG ateNo rh tForrest G ate So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To wn No rt Ca nning To wn So u t Co sm ult Ho use E as t Ha mn Centr al E as t Ha mn Nor th E as t Ha mn So u t H For rest G at e No rt For rest G at e So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To wn No rt Ca nning To wn So u t Co sm ult Ho use E as t Ha mn Centr al E as t Ha mn Nor th E as t Ha mn So u t H For rest G at e No rt For rest G at e So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To wn No rt Ca nning To wn So u t Co sm ult Ho use E as t Ha mn Centr al E as t Ha mn Nor th E as t Ha mn So u t H For rest G at e No rt For rest G at e So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To wn No rt Ca nning To wn So u t Co sm ult Ho use E as t Ha mn Centr al E as t Ha mn Nor th E as t Ha mn So u t H For rest G at e No rt For rest G at e So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To wn No rt Ca nning To wn So u t Co sm ult Ho use E as t Ha mn Centr al E as t Ha mn Nor th E as t Ha mn So u t H For rest G at e No rt For rest G at e So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To wn No rt Ca nning To wn So u t Co sm ult Ho use E as t Ha mn Centr al E as t Ha mn Nor th E as t Ha mn So u t H For rest G at e No rt For rest G at e So u t Gre en Stre e t E as t Gre en Stre e t W es t L itt le I l ford Man or P ar k P la i s tow No rt P la i s tow So u t R oy a l Do cks S trat fo n da n De Ne w to wn Wa ll En d We s t Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To WN No rt Ca nning To WN So u T Co sm ult Ho Use Eas T Ha mn Centr al Eas T Ha mn Nor th Ea T Ha mn So u T H For rest G at e No T For rest G at e So u T Gre en Stre e T Ea T Gre en Stre e T Wes T L itt le I l ford Man or P ar k P la i s tow No T P la i s tow So u T R oy a l Do cks S tat fo n da n De Ne w to wn Wa ll En d We s T Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To WN No T Ca nning To WN So u T Co sm ult Ho Use Eas T Ha mn Centr al Ea T Ha mn Nor th Ea T Ha mn So u T H For rest G at e No T For rest G at e So u T Gre en Stre e T Ea T Gre en Stre e T Wes T L itt le I l ford Man or P ar k P la i s tow No T P la i s tow So u T R oy a l Do cks S tat fo n da n De Ne w to wn Wa ll En d We s T Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To WN No T Ca nning To WN So u T Co sm ult Ho Use Eas T Ha mn Centr al Ea T Ha mn Nor th Ea T Ha mn So u T H For rest G at e No T For rest G at e So u T Gre en Stre e T Ea T Gre en Stre e T Wes T L itt le I l ford Man or P ar k P la i s tow No T P la i s tow So u T R oy a l Do cks S tat fo n da n De Ne w to wn Wa ll En d We s T Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To WN No T Ca nning To WN So u T Co sm ult Ho Use Eas T Ha mn Centr al Ea T Ha mn Nor th Ea T Ha mn So u T H For rest G at e No T For rest G at e So u T Gre en Stre e T Ea T Gre en Stre e T Wes T L itt le I l ford Man or P ar k P la i s tow No T P la i s tow So u T R oy a l Do cks S tat fo n da n De Ne w to wn Wa ll En d We s T Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To WN No T Ca nning To WN So u T Co sm ult Ho Use Eas T Ha mn Centr al Ea T Ha mn Nor th Ea T Ha mn So u T H For rest G at e No T For rest G at e So u T Gre en Stre e T Ea T Gre en Stre e T Wes T L itt le I l ford Man or P ar k P la i s tow No T P la i s tow So u T R oy a l Do cks S tat fo n da n De Ne w to wn Wa ll En d We s T Ha mnnew harn Mer ton N ew harn Be ck ton Bo ley Ca nning To WN No T Ca nning To WN So u T Co sm ult Ho Use Eas T Ha mn Centr al Ea T Ha mn Nor th Ea T Ha mn So u T H For rest G at e No T For rest G at e So u T Gre en Stre e T Ea T Gre en Stre e T Wes T L itt le I l ford Man or P ar k P la i s tow No
<img>A table showing voting statistics for wards in London Borough Council elections May 2014.</img>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Ward voting statistics:</th><span style='text-align:center;'>Ballot papers:</span></tr></thead>
<tbody border='1'>
<tr border='1'>
<td style='text-align:left;'>Ward:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Seats:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Electorate:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Number voting:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>% poll:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Polling stations:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Postal:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Ward:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Seats:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Electorate:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Number voting:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>% poll:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Polling stations:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Postal:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Ward:</table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th style='text-align:left;'>Seats:</table>
<table border='1'>
<thead border='border' cellspacing= 'border' cellpadding= 'border' align= 'center' valign= 'top' style= 'border-collapse: collapse; width: auto; margin: auto; display: block; padding: .5em; background-color: #f9f9f9; font-family: Arial, sans-serif; font-size: .9em; line-height: normal; text-align: center; box-shadow: rgba(0,0,0,.5) .5em .5em .5em inset; position: relative; z-index: -999;' cellspacing= 'border' cellpadding= 'border' align= 'center' valign= 'top' style= 'border-collapse: collapse; width: auto; margin: auto; display: block; padding: .5em; background-color: #f9f9f9; font-family: Arial, sans-serif; font-size: .9em; line-height: normal; text-align: center; box-shadow: rgba(0,0,0,.5) .5em .5em .5em inset; position: relative; z-index: -999;' cellspacing= 'border' cellpadding= 'border' align= 'center' valign= 'top' style= 'border-collapse: collapse; width: auto; margin: auto; display: block; padding: .5em; background-color: #f9f9f9; font-family: Arial, sans-serif; font-size: 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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>217</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td colspan="2">Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>16</td>
<td>20</td>
<td>0</td>
<td>3,264</td>
<td>99.4</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Merton</td>
<td></td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>16</td>
<td>16</td>
<td>0</td>
<td>3,496</td>
<td>99.5</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Cannon Hill</td>
<td>0</td>
<td>7</td>
<td>0</td>
<td>18</td>
<td>23</td>
<td>0</td>
<td>2,983</td>
<td>99.2</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Colliers Wood</td>
<td>0</td>
<td>18</td>
<td>0</td>
<td>27</td>
<td>45</td>
<td>0</td>
<td>3,180</td>
<td>98.6</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Cricket Green</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>20</td>
<td>20</td>
<td>0</td>
<td>3,064</td>
<td>98.4</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Dundonald Park</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>49</td>
<td>49</td>
<td>0</td>
<td>3,064</td>
<td>98.4</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><th>Figgie's Marsh<br/>Graveney<br>Hillside<br>Lavender Fields<br>Longthornton<br>Lower Morden<br>Merton Park<br>Pollards Hill<br>Ravenswood<br>Raynes Park<br>S. Helier<br>Timothy<br>Village<br>West Barnes<br>Wimbledon Park<br>Merton<br>Newham<br>Bekton<br>Boleyen<br>Canning Town North<br>Canning Town South<br>Custom House<br>East Ham Central<br>East Ham North<br>East Ham South<br>Fordgate Forest Park<br>Forest Gate South<br>Green Street East<br>Green Street West<br>Little Ilford<br>London Road Manor<br>Paisley Road North<br>Paisley Road South<br>Royal Docks<br>Sutton and New Town<br>Wall End<br>West Ham<br>Newham)</th><th><strong style="color: blue;">0 59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134 99.0 </strong></th><th><strong style="color: blue;">59 14 317 390 61,069 99.4 219 2 595 816 78,134
218
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Redbridge</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Aldborough</td>
<td>3</td>
<td>10,928</td>
<td>4,908</td>
<td>44.9</td>
<td>3,713</td>
<td>1,195</td>
</tr>
<tr>
<td>Barkingside</td>
<td>3</td>
<td>9,970</td>
<td>4,178</td>
<td>41.9</td>
<td>3,127</td>
<td>1,051</td>
</tr>
<tr>
<td>Bridge</td>
<td>3</td>
<td>9,088</td>
<td>3,164</td>
<td>34.8</td>
<td>2,425</td>
<td>739</td>
</tr>
<tr>
<td>Chadwell</td>
<td>3</td>
<td>10,641</td>
<td>4,119</td>
<td>38.7</td>
<td>2,982</td>
<td>1,137</td>
</tr>
<tr>
<td>Church End</td>
<td>3</td>
<td>7,515</td>
<td>3,154</td>
<td>40.4</td>
<td>2,384</td>
<td>853</td>
</tr>
<tr>
<td>Clayhall</td>
<td>3</td>
<td>10,520</td>
<td>4,721</td>
<td>44.9</td>
<td>3,758</td>
<td>963</td>
</tr>
<tr>
<td>Clementswood</td>
<td>3</td>
<td>10,630</td>
<td>3,728</td>
<td>35.1</td>
<em style="color: #000;">2,895<br/></em><em style="color: #000;">833<br/></em><em style="color: #000;">723<br/></em><em style="color: #000;">976<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #000;">997<br/></em><em style="color: #ffcc66;">Redbridge<br/>63<br/>211,863<br/>84,114<br/>39.7<br/>64,262<br/>19,852<br/>Richmond upon Thames<br/>Barnes<br/>East Sheen<br/>Ham, Petersham and Richmond Riverside<br/>Hamilton North<br/>Heathfield Wick<br/>Kew Mortlake and Barnes Common North Richmond St. Margarets & North Twickenham South Richmond South Twickenham Toddington Twickenham Riverside West Twickenham Whitton Richmond upon Thames South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South Richmond Twickenham Twickenham Riverside West Twickenham Whitton South RichmondTwicke
<img>A table showing election results for various wards in London Borough Council elections May 2o14.</img></table>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<td colspan='6' align='center'>Ballot papers</th></tr></thead>
<tbody align='center'>
<tr align='center'>
<td colspan='6' align='center'></th></tr></tbody>
<tr align='center'>
<td colspan='6' align='center'></th></tr></tbody>
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<tr align='center'>
<td colspan='6' align='center'></th></tr></tbody>
<tr align='center'>
<td colspan='6' align='cente
<img>A table showing election results for various wards in London Borough Council elections May o14.</img>'
<th rowspan="2" class="header_strong">Ward Voting Statistics
<th rowspan="2" class="header_strong">Seats
<th rowspan="2" class="header_strong">Electorate
<th rowspan="2" class="header_strong">Number voting
<th rowspan="2" class="header_strong">% poll
<th rowspan="2" class="header_strong">Polling stations
<th rowspan="2" class="header_strong">Postal
<th rowspan="2" class="header_strong">Total Votes
<th rowspan="2" class="header_strong">Percentage of Total Votes
<th rowspan="2" class="header_strong">Number of Seats
<th rowspan="2" class="header_strong">Number of Polling Stations
<th rowspan="2" class="header_strong">Number of Postal Votes
<table cellspacing=
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>219</page_number>
<table>
<thead>
<tr>
<td colspan="13">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td colspan="2">More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td rowspan="2">Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Redbridge</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Aldborough</td>
<td>0</td>
<td>24</td>
<td>0</td>
<td>17</td>
<td>41</td>
<td>0</td>
<td>4,867</td>
<td>99.2</td>
<td></td>
</tr>
<tr>
<td>Barkingside</td>
<td>0</td>
<td>2</td>
<td>2</td>
<td>7</td>
<td>11</td>
<td>0</td>
<td>4,167</td>
<td>99.7</td>
<td></td>
</tr>
<tr>
<td>Bridge</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>8</td>
<td>10</td>
<td>0</td>
<td>3,154</td>
<td>99.7</td>
<td></td>
</tr>
<tr>
<td>Chadwell</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>26</td>
<td>27</td>
<td>0</td>
<td>4,092</td>
<td>99.3</td>
<td></td>
</tr>
<tr>
<td>Church End</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>6</td>
<td>12</td>
<td>0</td>
<td>5,673</td>
<td>99.3</td>
<td></td>
</tr>
<tr>
<td>Clayhall</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>7</td>
<td>13</td>
<td>0</td>
<td>4,708</td>
<td>99.7</td>
<td></td>
</tr>
<tr>
<td>Clementswood<br>Cranbrook<br>Fairlop<br>Fullywell<br>Goodmayes<br>Hainault<br>Lxford<br>Mayfield<br>Newbury<br>Ponsonby<br>Roding<br>Sixteen Kings<br>Snaresbrook<br>Valetines<br>Weald<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Wealden<br>Weirdingham and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Ham Hill and Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammersmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall Hammerssmith Town Hall
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><hr>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Ward Voting Statistics (Redbridge)</th>
<th style="text-align: right;">Redbridge 0 109 8 279 396 0 83,718 99.5 </th> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr> <hr>&nb...
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Ward Voting Statistics (Richmond upon Thames)</th> &nh...
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Ward Voting Statistics (Richmond upon Thames)</th>&nh...
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Ward Voting Statistics (Richmond upon Thames)</th>&nh...
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Ward Voting Statistics (Richmond upon Thames)</th>&nh...
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f...
220 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Southwark</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brunswick Park</td>
<td>3</td>
<td>9,390</td>
<td>3,402</td>
<td>36.2</td>
<td>2,765</td>
<td>637</td>
</tr>
<tr>
<td>Camberwell Green</td>
<td>3</td>
<td>10,529</td>
<td>3,391</td>
<td>32.2</td>
<td>2,620</td>
<td>771</td>
</tr>
<tr>
<td>Cathedrals</td>
<td>3</td>
<td>12,657</td>
<td>3,967</td>
<td>31.3</td>
<td>3,047</td>
<td>920</td>
</tr>
<tr>
<td>Chaucer College</td>
<td>3</td>
<td>11,472</td>
<td>4,017</td>
<td>35.0</td>
<td>3,258</td>
<td>752</td>
</tr>
<tr>
<td>Colegate East Dulwich</td>
<td>3</td>
<td>8,686</td>
<td>4,087</td>
<td>46.4</td>
<td>3,503</td>
<td>1,055</td>
</tr>
<tr>
<td>East Walworth Faraday Granice Livesey Newington Nunhead Peckham Peckham Rye Riverside Rotherhithe South Barnsdale South Camberwell Surrey Docks The Lane Village Southwark Sutton Beddington North Beddington South Belmont Carshalton Central Carshalton South And Clockhouse Cheam Nonsuch St Helier Stonecot Sutton Central Sutton North Sutton South Sutton West The Wrythe Wallington North Wallington South Windle Valley Worcester Park Sutton
</table>
<table style="width:100%;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align:center;">
<td colspan="7" style="font-size:1.5em;">Southwark
</table>
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<td colspan="7" style="font-size:1.5em;">Sutton
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<td colspan="7" style="font-size:1.5em;">Sutton
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<tr style="text-align:center;">
<td colspan="7" style="font-size:1.5em;">Sutton
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<table style="width:100%;">
<thead style="background-color: #f
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>221</page_number>
<table>
<thead>
<tr>
<th rowspan="2">Ward</th>
<th colspan="8">Rejected ballot papers</th>
<th rowspan="2">Ward voting statistics</th>
</tr>
<tr>
<th>Lacking official mark</th>
<th>More votes than entitled</th>
<th>Marked for identification</th>
<th>Unmarked wholly void</th>
<th>Total</th>
<th>Rejected in part</th>
<th>Total valid papers</th>
<th>% valid votes</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Southwark</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brunswick Park</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>15</td>
<td>20</td>
<td>0</td>
<td>3,382</td>
<td>99.4</td>
</tr>
<tr>
<td>Camberwell Green</td>
<td>0</td>
<td>8</td>
<td>0</td>
<td>11</td>
<td>19</td>
<td>0</td>
<td>3,372</td>
<td>99.4</td>
</tr>
<tr>
<td>Cathedrals</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>13</td>
<td>16</td>
<td>0</td>
<td>3,951</td>
<td>99.6</td>
</tr>
<tr>
<td>Chaucer College</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>21</td>
<td>26</td>
<td>2</td>
<td>3,584</td>
<td>99.4</td>
</tr>
<tr>
<td>East Dulwich</td>
<td>0</td>
<td>0</td>
<td>21</td>
<td>24</td>
<td>24</td>
<td>0</td>
<td>4,063</td>
<td>99.4</td>
</tr>
<tr>
<td>East Walworth Faraday Grange Livelyay Newington Nunhead Peckham Peckham Rye Riverside Rotherhithe South Bermondsey South Cobham Surrey Docks The Lane Village Southwark 7 79 22 304 412 3 74,890 99.5 Sutton Beddington North Beddington South Belmore Carshalton Central Carshalton South And Clockhouse Cheam Nonsuch St. Helier Stonecot Sutton Central Sutton North Sutton South Sutton West The Wrythe Wallington North Wallington South Wandle Valley Worcester Park Sutton 0 48 1 176 225 0 62,111 99.6 </tr>
<tr><td>Sutton West The Wrythe Wallington North Wallington South Wandle Valley Worcester Park Sutton 0 48 1 176 225 0 62,111 99.6 </tr></tbody></table>
<table style="width:100%; border-collapse: collapse;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th rowspan="2">Ward Voting Statistics Table Header Row (for Ward)</th><th rowspan="2">Ward Name (for Ward)</th><th rowspan="2">Lacking Official Mark Count (for Ward)</th><th rowspan="2">More Votes Than Entitled Count (for Ward)</th><th rowspan="2">Marked For Identification Count (for Ward)</th><th rowspan="2">Unmarked Wholly Void Count (for Ward)</th><th rowspan="2">Total Count (for Ward)</th><th rowspan="2">Rejected In Part Count (for Ward)</th><th rowspan="2">Total Valid Papers Count (for Ward)</th><th rowspan="2">% Valid Votes (for Ward)</th><th rowspan="2">Ward Voting Statistics Table Footer Row (for Ward)</th><th rowspan="2">Ward Name (for Ward)</th><th rowspan="2">Lacking Official Mark Count (for Ward)</th><th rowspan="2">More Votes Than Entitled Count (for Ward)</th><th rowspan="2">Marked For Identification Count (for Ward)</th><th rowspan="2">Unmarked Wholly Void Count (for Ward)</th><th rowspan="2">Total Count (for Ward)</th><th rowspan="2">Rejected In Part Count (for Ward)</th><th rowspan="2">Total Valid Papers Count (for Ward)</th><th rowspan="2">% Valid Votes (for Ward)</th><th rowspan="2">Ward Name (for Ward)</th><th rowspan="2">Lacking Official Mark Count (for Ward)</th><th rowspan="2">More Votes Than Entitled Count (for Ward)</th><th rowspan="2">Marked For Identification Count (for Ward)</th><th rowspan="2">Unmarked Wholly Void Count (for Ward)</th><th rowspan="2">Total Count (for Ward)</th><th rowspan="2">Rejected In Part Count (for Ward)</th><th rowspan="2">Total Valid Papers Count (for Ward)</th><th rowspan="2">% Valid Votes (for Ward)</th><br/>
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<table style="width:100%; border-collapse: collapse;">
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<th rowspan="2" style="text-align:center;">Ward Voting Statistics Table Header Row (for Ward Name)</th><th rowspan="2" style="text-align:center;">Ward Name (for Ward Name)</th><th colspan="3" style="text-align:center;">Lacking Official Mark Count (for Ward Name)</th><th colspan="3" style="text-align:center;">More Votes Than Entitled Count (for Ward Name)</th><th colspan="3" style="text-align:center;">Marked For Identification Count (for Ward Name)</th><th colspan="3" style="text-align:center;">Unmarked Wholly Void Count (for Ward Name)</th><th colspan="3" style="text-align:center;">Total Count (for Ward Name)</th><th colspan="3" style="text-align:center;">Rejected In Part Count (for Ward Name)</th><th colspan="3" style="text-align:center;">Total Valid Papers Count (for Ward Name)</th><th colspan="3" style="text-align:center;">% Valid Votes (for Ward Name)</th><br/></thead>
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<page_number>222</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="7"><strong>Tower Hamlets</strong></td>
</tr>
<tr>
<td>Bethnal Green</td>
<td>3</td>
<td>14,085</td>
<td>6,708</td>
<td>47.6</td>
<td>5,509</td>
<td>1,199</td>
</tr>
<tr>
<td>Blackwall & Cubitt Town</td>
<td>3</td>
<td>9,193</td>
<td>2,909</td>
<td>31.6</td>
<td>1,814</td>
<td>1,095</td>
</tr>
<tr>
<td>Bow East</td>
<td>3</td>
<td>11,244</td>
<td>5,156</td>
<td>45.9</td>
<td>4,196</td>
<td>960</td>
</tr>
<tr>
<td>Bow West</td>
<td>2</td>
<td>9,053</td>
<td>4,733</td>
<td>52.3</td>
<td>3,943</td>
<td>794</td>
</tr>
<tr>
<td>Bromley North</td>
<td>2</td>
<td>6,516</td>
<td>3,464</td>
<td>51.9</td>
<td>3,570</td>
<td>894</td>
</tr>
<tr>
<td>Bromley South</td>
<td>2</td>
<td>7,477</td>
<td>3,697</td>
<td>49.4</td>
<td>3,026</td>
<td>671</td>
</tr>
<tr>
<td>Canary Wharf Island Gardens Lambourn Limehouse Mile End Poplar St. Dunstan's & Wapping St. Katharine's & Wapping St. Peter's Shadwell Siptafford & Banglatown Stepney Green Weavers Whitechapel Tower Hamlets Waltham Forest Cann Hall Cathall Chapel End Chingford Green Endlebury Forest Grove Green Hale End and Highams Park Hatch Lane High Street Highham Hill Hoe Street Larkwood Lea Bridge Leyton Leytonstone Markhouse Valley William Morris Wood Street Waltham Forest </table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td style="vertical-align:bottom;">Tower Hamlets<br><strong>45<br><span style="font-size: large;">181,795<br><span style="font-size: xx-large;">85,803<br><span style="font-size: x-large;">47.2<br><span style="font-size: xx-large;">66,029<br><span style="font-size: x-large;">19,774<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></strong></table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td style="vertical-align:bottom;">Waltham Forest<br>Cann Hall<br>Cathall<br>Chapel End<br>Hale End and Highams Park<br>Hatch Lane<br>High Street<br>Highham Hill<br>Hoe Street<br>Larkwood<br>Lea Bridge<br>Leyton<br>Leytonstone<br>Markhouse<br>V alley<br>William Morris<br>Wood Street Waltham Forest </table>
<table style="width:100%;">
<thead style="background-color: #cccccc;">
<tr style="text-align:center;">
<td style="vertical-align:bottom;">Waltham Forest<br>60<br>184,059<br>69,233<br>37.6<br>55,383<br>13,850
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>223</page_number>
<table>
<thead>
<tr>
<td colspan="10">Rejected ballot papers</td>
</tr>
<tr>
<td rowspan="2">Ward</td>
<td>Lacking official mark</td>
<td>More votes than entitled</td>
<td>Marked for identification</td>
<td>Unmarked wholly void</td>
<td>Total</td>
<td>Rejected in part</td>
<td>Total valid papers</td>
<td>% valid votes</td>
<td>Ward voting statistics</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Tower Hamlets</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bethnal Green</td>
<td>0</td>
<td>30</td>
<td>0</td>
<td>35</td>
<td>65</td>
<td>0</td>
<td>6,643</td>
<td>99.0</td>
<td></td>
</tr>
<tr>
<td>Blackwall & Cubitt Town</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>8</td>
<td>12</td>
<td>0</td>
<td>2,897</td>
<td>99.6</td>
<td></td>
</tr>
<tr>
<td>Bow East</td>
<td>0</td>
<td>15</td>
<td>0</td>
<td>30</td>
<td>45</td>
<td>0</td>
<td>5,111</td>
<td>99.1</td>
<td></td>
</tr>
<tr>
<td>Bow West</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>28</ td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td>< td:< br/>Bromley North<br/>Bromley South<br/>Canary Wharf<br/>Island Gardens<br/>Lambury<br/>Limhouse<br/>Mile End<br/>Poplar<br/>St Dunstan's<br/>St Katharine's & Wapping<br/>St Peter's<br/>Shadwell<br/>Siptafford & Banglatown<br/>Stepney Green<br/>Weavers<br/>Whitechapel<br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/><table cellspacing="0" cellpadding="0"><tbody id="table_thead"><tr id="table_thead_row"><th colspan="10">Tower Hamlets|Rejected ballot papers|Ward voting statistics|Ward|Lacking official mark|More votes than entitled|Marked for identification|Unmarked wholly void|Total|Rejected in part|Total valid papers|% valid votes|Ward voting statistics|Ward|Lacking official mark|More votes than entitled|Marked for identification|Unmarked wholly void|Total|Rejected in part|Total valid papers|% valid votes|Ward voting statistics|Tower Hamlets|0|375|15|452|842|0|48,961|99.0|Tower Hamlets|Waltham Forest|0|97|3|275|380|5|68,853|99.5|
<tr id="table_tr_thead_row"><th colspan="10">Waltham Forest|Rejected ballot papers|Ward voting statistics|Ward|Lacking official mark|More votes than entitled|Marked for identification|Unmarked wholly void|Total|Rejected in part|Total valid papers|% valid votes|Ward voting statistics|Ward|Lacking official mark|More votes than entitled|Marked for identification|Unmarked wholly void|Total|Rejected in part|Total valid papers|% valid votes|Ward voting statistics|
<tr id="table_tr_thead_row"><th colspan="10">Cann Hall
Cathall
Chapel End
Chingford Green
Endlebury
Forest
Grove Green
Half End and Highams Park
Hatch Hill
High Street
Highham Hill
Hoe Street
Larkwood
Lea Bridge
Leyton
Leytonstone
Markhouse
Valley
William Morris
Wood Street
Waltham Forest
0
5
0
5
0
5
0
3,154
99.8
0
7
0
5
12
267
99.5
0
15
0
21
36
3,545
99.0
0
0
0
9
3,385
99.9
0
8
0
5
13
3,529
99.6
0
6
0
27
33
3,681
99.1
0
4
0
11
3,679
99.3
224 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Ballot papers
<table>
<thead>
<tr>
<td rowspan="2">Ward</td>
<td rowspan="2">Seats</td>
<td rowspan="2">Electorate</td>
<td colspan="3">Number voting</td>
<td>% poll</td>
<td colspan="2">Polling stations</td>
<td>Postal</td>
</tr>
<tr>
<td>Number</td>
<td>voting</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Wandsworth</td>
<td></td>
<td></td>
<td>11,518</td>
<td>3,984</td>
<td>34.6</td>
<td>2,801</td>
<td>1,183</td>
<td></td>
</tr>
<tr>
<td>Balham</td>
<td>3</td>
<td>11,405</td>
<td>4,508</td>
<td>39.5</td>
<td>3,336</td>
<td>1,172</td>
<td></td>
</tr>
<tr>
<td>Bedford</td>
<td>3</td>
<td>12,541</td>
<td>4,808</td>
<td>38.3</td>
<td>3,531</td>
<td>1,277</td>
<td></td>
</tr>
<tr>
<td>Earlsfield</td>
<td>3</td>
<td>12,007</td>
<td>4,294</td>
<td>35.8</td>
<td>2,968</td>
<td>1,326</td>
<td></td>
</tr>
<tr>
<td>East Putney</td>
<td>3</td>
<td>11,364</td>
<td>4,154</td>
<td>31.8</td>
<td>2,672</td>
<td>1,000</td>
<td></td>
</tr>
<tr>
<td>Fairfield</td>
<td>3</td>
<td>11,382</td>
<td>4,969</td>
<td>43.7</td>
<td>3,677</td>
<td>1,092</td>
<td></td>
</tr>
<tr>
<td>Furztondown</td>
<td>3</td>
<td>11,515</td>
<td>4,390</td>
<td>38.1</td>
<td>3,422</td>
<td>968</td>
<td></td>
</tr>
<tr>
<td>Graveney</td>
<td>3</td>
<td>11,409</td>
<td>3,985</td>
<td>34.9</td>
<td>2,635</td>
<td>1,350</td>
<td></td>
</tr>
<tr>
<td>Latchmere</td>
<td>3</td>
<td>11,404</td>
<td>4,154</td>
<td>36.4</td><th colspan="2">3,028<br/>1,124<br/></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="text-align: center;">Ward voting statistics<br/>Wandsworth<br/>Westminster<br/>Greater London<br/>West End<br/>Westminster<br/>Maida Vale<br/>Little Venice<br/>Lancaster Gate<br/>Knightsbridge and Belgravia<br/>Abbey Road<br/>Bayswater<br/>Churchill<br/>Harrow Road<br/>Hyde Park<br/>Queens Park<br/>Regent's Park<br/>St. James's<br/>Tachbrook<br/>Vincent Square<br/>Warwick<br/>Westbourne<br/></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: right;">Ward voting statistics<br/>Wandsworth<br/>Westminster<br/>Greater London<br/>West End<br/>Westminster<br/>Maida Vale<br/>Little Venice<br/>Lancaster Gate<br/>Knightsbridge and Belgravia<br/>Abbey Road<br/>Bayswater<br/>Churchill<br/>Harrow Road<br/>Hyde Park<br/>Queens Park<br/>Regent's Park<br/>St. James's<br/>Tachbrook<br/>Vincent Square<br/>Warwick<br/>Westbourne
<th style="text-align: left;">Ward
<th style="text-align: left;">Seats
<th style="text-align: left;">Electorate
<th style="text-align: left;">Number voting
<th style="text-align: left;">% poll
<th style="text-align: left;">Postal
<th style="text-align: left;">Polling stations
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<th style="text-align: left;">Postal
<table border='1'>
<thead align='center'>
<tr align='center'>
<span id='table_header_thead' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_row_thead' class='thead'>
<span id='table_cell_thead_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0_0_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0_0_0_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0_0_0_0_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding='0'>
<tbody align='left'>
<tr align='left'>
<span id='table_cell_thead_0_0_0_0_0_0_0_0' class='thead'>Ward voting statistics<table border='0' cellspacing='0' cellpadding=''
```
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>225</page_number>
<table>
<thead>
<tr>
<th colspan="10">Rejected ballot papers</th>
<th rowspan="2">Ward voting statistics</th>
</tr>
<tr>
<th rowspan="2">Ward</th>
<th>Lacking official mark</th>
<th>More votes than entitled</th>
<th>Marked for identification</th>
<th>Unmarked wholly void</th>
<th>Total</th>
<th>Rejected in part</th>
<th>Total valid papers</th>
<th>% valid votes</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Wandsworth</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Balham</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>8</td>
<td>11</td>
<td>0</td>
<td>3,973</td>
<td>99.7</td>
</tr>
<tr>
<td>Bedford</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>10</td>
<td>14</td>
<td>0</td>
<td>4,494</td>
<td>99.7</td>
</tr>
<tr>
<td>Earlsfield</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>13</td>
<td>18</td>
<td>0</td>
<td>4,790</td>
<td>99.6</td>
</tr>
<tr>
<td>East Putney</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>13</td>
<td>18</td>
<td>0</td>
<td>4,276</td>
<td>99.6</td>
</tr>
<tr>
<td>Fairfield</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>7</td>
<td>12</td>
<td>0</td>
<td>3,654</td>
<td>99.7</td>
</tr>
<tr>
<td>Furzedown</td>
<td>1</td>
<td>0</td>
<td>11</td>
<td>12</td>
<td>24</td>
<td>-1<br/>-4<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/>-2<br/></td><td>-1<br/>-4<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></td><td>-1<br/></ td><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;">Total valid papers:</th><th style="text-align: right;">85,578 </th></tr></tbody></table><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;">% valid votes:</th><th style="text-align: right;">99.7 </th></tr></tbody></table></tr><tr><td>Latchmere Nightingale Northcote Queenstown Roehampton and Putney Heath St. Mary's Park Shaffield Southfields Thamesfield Tooting Wandsworth Common West Hill West Putney <strong style="font-weight: bold;">Wandsworth 1 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 86 7 </strong></table></tr><tr><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;"><strong style="font-weight: bold;">Westminster </strong></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th></tr></tbody></table></tr><tr><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;"><strong style="font-weight: bold;">Abbey Road </strong></th><th style="text-align: left;">0 </th><th style="text-align: left;">0 </th><th style="text-align: left;">0 </th><th style="text-align: left;">9 </th><th style="text-align: left;">9 </th><th style="text-align: left;">0 </th><th style="text-align: left;">2,010 </th><th style="text-align: left;">99.6 </th></tr></tbody></table></tr><tr><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;"><strong style="font-weight: bold;">Bayswater </strong></th><th style="text-align: left;">0 </th><th style="text-align: left;">3 </th><th style="text-align: left;">0 </th><th style="text-align: left;">26 </th><th style="text-align: left;">29 </th><th style="text-align: left;">0 </th><th style="text-align: left;">2,018 </th><th style="text-align: left;">98.6 </th></tr></tbody></table></tr><tr><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;"><strong style="font-weight: bold;">Bryanston and Dorset Square </strong></th><th style="text-align: left;">0 </th><th style="text-align: left;">3 </th><th style="text-align: left;">0 </th><th style="text-align: left;">13 </h3>"<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></table></tr><tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_3'><tr class='annotation_item_rowinterval_3'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_4'><tr class='annotation_item_rowinterval_4'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_5'><tr class='annotation_item_rowinterval_5'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_6'><tr class='annotation_item_rowinterval_6'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_7'><tr class='annotation_item_rowinterval_7'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_8'><tr class='annotation_item_rowinterval_8'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_9'><tr class='annotation_item_rowinterval_9'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_10'><tr class='annotation_item_rowinterval_10'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_11'><tr class='annotation_item_rowinterval_11'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_12'><tr class='annotation_item_rowinterval_12'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_13'><tr class='annotation_item_rowinterval_13'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_14'><tr class='annotation_item_rowinterval_14'><TD colspan='9'></TD></tr></tbody></table></tr>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_15'><tr class='annotation_item_rowinterval_15'><TD colspan='9'></TD></tr></tbody></table>
<tr class=""><table cellspacing='0' cellpadding='0'><tbody id '__annotation__rowinterval_16'> <tfoot id="__annotation__tfoot_3"><TR id="__annotation__tfoot_tr_3"><TH id="__annotation__tfoot_th_3" scope=row colspan=9 align=center>Totals:</TH > <TH id="__annotation__tfoot_th_4" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_5" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_6" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_7" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_8" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_9" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_1" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_2" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_3" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_4" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_5" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_6" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_7" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_8" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_9" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_1" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_2" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_3" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_4" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_5" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_6" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_7" scope=row colspan=3 align=center>% valid votes:</TH > <TH id="__annotation__tfoot_th_8" scope=row colspan=3 align=center>Total valid papers:</TH > <TH id="__annotation__tfoot_th_9" scope=row colspan=3 align=center>% valid votes:</TH ></TR ></tfoot>
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<page_number>226</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>227</page_number>
**Borough votes summary**
<table>
<thead>
<tr>
<td></td>
<td>Seats</td>
<td>Electorate</td>
<td>Number voting</td>
<td>% poll</td>
<td>Polling stations</td>
<td>Postal votes</td>
<td>Total rejected ballot papers</td>
<td>% valid votes</td>
</tr>
</thead>
<tbody>
<tr>
<td>Barking and Dagenham</td>
<td>51</td>
<td>129,097</td>
<td>47,117</td>
<td>36.5</td>
<td>35,477</td>
<td>11,640</td>
<td>170</td>
<td>99.6</td>
</tr>
<tr>
<td>Barnet</td>
<td>63</td>
<td>237,010</td>
<td>95,944</td>
<td>40.5</td>
<td>66,850</td>
<td>29,094</td>
<td>549</td>
<td>99.4</td>
</tr>
<tr>
<td>Bexley</td>
<td>63</td>
<td>179,050</td>
<td>70,959</td>
<td>39.6</td>
<td>53,007</td>
<td>17,952</td>
<td>449</td>
<td>99.4</td>
</tr>
<tr>
<td>Brent</td>
<td>63</td>
<td>217,118</td>
<td>78,753</td>
<td>36.3</td>
<td>65,423</td>
<td>13,330</td>
<td>486</td>
<td>99.4</td>
</tr>
<tr>
<td>Bromley</td>
<td>60</td>
<td>236,553</td>
<td>96,594</td>
<td>40.8</td>
<td>73,475</td>
<td>23,119</td>
<td>262</td>
<td>99.7</td>
</tr>
<tr>
<td>Camden</td>
<td>54</td>
<td>155,240</td>
<td>60,046</td>
<td>38.7</td>
<td>46,513</td>
<td>13,533</td>
<td>380</td>
<td>99.4</td>
</tr>
<tr>
<td>Croydon</td>
<td>70</td>
<td>260,189</td>
<td>100,435</td>
<td>38.6</td>
<td>73,348</td>
<td>27,087</td>
<table><tbody><tr><th colspan="2"></th><th colspan="2">Total rejected ballot papers (as % of total)</th></tr><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="2">rejected ballot papers (as % of total)</th><th colspan="2">%</th></tr><tr><th></th><th></th><th></th><th></th></tr><tr><th colspan="2">rejected ballot papers (as % of total)</th><th colspan="2">%</th></tr><tr><th></th><th></th><th colspan="2">%</th></tr></table><table><tbody><tr><th colspan="2">rejected ballot papers (as % of total)</th><th colspan="2">%</th></tr><tr><th></th><th></th><th colspan="2">%</th></tr><tr><th colspan="2">rejected ballot papers (as % of total)</th><th colspan="2">%</th></tr><tr><th></th><th></th><th colspan="2">%</th></tr></table><table><tbody><tr><th colspan="2">rejected ballot papers (as % of total)</th><th colspan="2">%</th></tr><tr><th></th><th></th><th colspan="2">%</th></tr><tr><th colspan="2">rejected ballot papers (as % of total)</th><table><tbody><tr><th colspan="2"></th></tr><tr><th colspan="2"></th></tr></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/>
228 LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
European elections
**European election voting statisitics, London boroughs**
| Borough | Electorate | Number | % poll | Polling stations | Postal |
|---|---|---|---|---|---|
| City of London | 6,120 | 2,281 | 37.3 | 1,597 | 684 |
| Barking and Dagenham | 119,879 | 45,730 | 38.2 | 34,433 | 11,297 |
| Barnet | 236,415 | 94,243 | 39.8 | 69,665 | 28,578 |
| Basildon | 179,050 | 68,813 | 38.4 | 51,404 | 17,409 |
| Brent | 192,012 | 74,935 | 39.0 | 62,251 | 12,684 |
| Bromley | 231,329 | 95,160 | 41.1 | 72,834 | 22,326 |
| Camden | 140,599 | 58,243 | 41.4 | 45,082 | 13,161 |
| Croydon | 249,559 | 98,535 | 39.5 | 73,740 | 27,799 |
| Daling | 219,952 | 96,631 | 43.9 | 82,531 | 14,100 |
| Enfield | 196,782 | 77,926 | 39.6 | 63,734 | 14,192 |
| Greenwich | 165,223 | 64,202 | 38.9 | 50,079 | 14,123 |
| Hackney | 160,401 | 64,401 | 41.4 | 47,177 | 19,224 |
| Hammersmith and Fulham | 115,717 | 47,267 | 40.8 | 35,793 | 11,474 |
| Haringey | 175,502 | 64,185 | 36.6 | 52,634 | 11,551 |
| Harrow | 170,864 | 72,514 | 42.4 | 40,040 | 32,474 |
| Havering | 184,104 | 80,078 | 43.5 | 61,331 | 18,747 |
| Hillingdon | 201,367 | 74,532 | 37.0 | 57,483 | 17,049 |
| Hounslow | 173,680 | 67,881 | 39.1 | 52,003 | 15,878 |
| Islington | 142,650 | 57,984 | 40.6 | 45,556 | 12,428 |
| Kensington and Chelsea Boroughs: Kingston upon Thames Lambeth Lewisham Merton Newham Redbridge Richmond upon Thames Southwark Sutton Tower Hamlets Waltham Forest Wandsworth Westminster Inner London Outer London London **5,** **4**, **9**, **0**, **2**, **8** **,** **2**, **2**, **5**, **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** **,** <page_number>London</page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**<page_number>**
<table>
<thead>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td>
<td>Polling stations</td>
<td></td>
</tr>
<tr>
<td>Borough</td>
<td>Electorate</td>
<td>% poll</td><table><tbody><tr><th colspan="5">Ballot papers<table><thead><tr><th colspan="5"></th></tr><tr><th colspan="5"></th></tr></thead><tbody><tr><th colspan="5"></th></tr><tr><th colspan="5"></th></tr></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table/></body><body><div style="position: absolute; left: -webkit-crop;">European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections European elections欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选举欧洲选民统计,伦敦区
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>229</page_number>
<table>
<thead>
<tr>
<td rowspan="2">Borough</td>
<td colspan="7">Rejected ballot papers</td>
</tr>
<tr>
<td>Lacking<br>official mark</td>
<td>More votes<br>than entitled</td>
<td>Marked for<br>identification</td>
<td>Unmarked<br>wholly void</td>
<td>Total</td>
<td>Rejected<br>in part</td>
<td>Total valid<br>papers</td>
<td>% valid<br>votes</td>
</tr>
</thead>
<tbody>
<tr>
<td>City of London</td>
<td>n/a</td>
<td>n/a</td>
<td>n/a</td>
<td>n/a</td>
<td>7</td>
<td>n/a</td>
<td>2,274</td>
<td>99.7</td>
</tr>
<tr>
<td>Barking and Dagenham</td>
<td></td>
<td>236</td>
<td>154</td>
<td>386</td>
<td></td>
<td></td>
<td>49,453</td>
<td>99.2</td>
</tr>
<tr>
<td>Barnet</td>
<td>0</td>
<td>347</td>
<td>13</td>
<td>407</td>
<td>767</td>
<td>0</td>
<td>93,476</td>
<td>99.2</td>
</tr>
<tr>
<td>Bexley</td>
<td>n/a</td>
<td>n/a</td>
<td>n/a</td>
<td>588</td>
<td></td>
<td>n/a</td>
<td>68,225</td>
<td>99.1</td>
</tr>
<tr>
<td>Brent</td>
<td>0</td>
<td>846</td>
<td>8</td>
<td>479</td>
<td>1,333</td>
<td>0</td>
<td>73,602</td>
<td>98.2</td>
</tr>
<tr>
<td>Bromley</td>
<td>3</td>
<td>302</td>
<td>13</td>
<td>376</td>
<td>694</td>
<td>0</td>
<td>94,466</td>
<td>99.3</td>
</tr>
<tr>
<td>Camden</td>
<td>n/a</td>
<td>n/a</td>
<td>n/a</td>
<td>n/a</td>
<td>543</td>
<td>n/a</td>
<td>57,700</td>
<td>99.1</td>
</tr>
<tr>
<td>Croydon</td>
<td>4</td>
<td>463</td>
<td>3</td>
<td>404</td>
<td>872</td>
<td></td>
<td>87,878</td>
<td>99.1</td>
</tr>
<tr>
<td>Billingham<br>Haringey<br>Harrow<br>Havering<br>Hillingdon<br>Hounslow<br>Islington<br>Kensington and Chelsea<br>Kingston upon Thames<br>Lambeth<br>Lewisham<br>Merton<br>Newham<br>Redbridge<br>Richmond upon Thames<br>Southwark<br>Sutton<br>Tower Hamlets<br>Waltham Forest<br>Wandsworth<br>Westminster<br>Inner London<br>Outer London<br>London)</td><td>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n/a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a<br>n</br>a"<table cellspacing="0" cellpadding="0" border="1"><thead cellspacing="0" cellpadding="0"><tr cellspacing="0" cellpadding="0"><th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> <th cellspacing="0" cellpadding="0"> </table><p style='text-align:center;'>European elections </p><p style='text-align:center;'>% valid votes </p><p style='text-align:center;'>Total valid papers </p><p style='text-align:center;'>Rejected in part </p><p style='text-align:center;'>Total papers </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a </p><p style='text-align:center;'>n / a & lt;</table></body></html>"
European elections
Order of winning seats in European election by round, London
<table>
<thead>
<tr>
<td>Party</td>
<td>Votes R1</td>
<td>R2</td>
<td>R3</td>
<td>R4</td>
<td>R5</td>
<td>R6</td>
<td>R7</td>
<td>R8</td>
</tr>
</thead>
<tbody>
<tr>
<td>Labour Party</td>
<td><strong>806,959</strong> 1</td>
<td>403,480</td>
<td>1</td>
<td><strong>403,480</strong></td>
<td>2</td>
<td>268,986</td>
<td>2</td>
<td><strong>268,986</strong></td>
<td>3</td>
<td><strong>201,740</strong></td>
<td>4</td>
<td><strong>161,392</strong></td>
<td>4</td>
</tr>
<tr>
<td>Conservative Party</td>
<td>495,639</td>
<td><strong>495,639</strong></td>
<td>1</td>
<td>247,820</td>
<td>1</td>
<td>247,820</td>
<td>1</td>
<td><strong>247,820</strong></td>
<td>2</td>
<td><strong>165,213</strong></td>
<td>2</td>
<td><strong>165,213</strong></td>
<td>2</td>
</tr>
<tr>
<td>UK Independence Party</td>
<td>371,133</td>
<td>371,133</td>
<td></td>
<td><strong>371,133</strong></td>
<td></td>
<td></td>
<td></td>
<td><strong>185,567</strong></td>
<td></td>
<td><strong>185,567</strong></td>
<td></td>
<td><strong>185,567</strong></td>
<td></td>
</tr>
<tr>
<td>Green Party (UK)</td>
<td>195,819</td>
<td>195,819</td>
<td></td>
<td><strong>195,819</strong></td>
<td></td>
<td><strong>195,819</strong></td>
<td></td>
<td><strong>98,409</strong></td>
<td></td>
<td><strong>98,409</strong></td>
<td></td>
<td><strong>98,409</strong></td>
<td></td>
</tr>
<tr>
<th colspan="2">Liberal Democrats<br/>4 Freedoms Party (UK EPP)</th>
<th>148,013<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/>28,014<br/></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><th colspan="5"></th><br/>
An Independence from Europe
Christian Peoples Alliance
National Health Action Party
Animal Welfare Party
British National Party
Europeans Party
English Democrats
Communities United Party
National Liberal Party
NO2EU
Harmony Party
Elected Candidate
Moraes, Claude (LAB)
Kamall, Syed S. (CON)
Honeyball, Mary Ms. (LAB)
Batten, Gerard J (UKIP)
Anderson, Lucy Ms (LAB)
Tamnock, Timothy C. A (CON)
Dance, Seb (LAB)
Lambert, Jean D. Ms (GRE)
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
</tr>
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<td style='text-align:center;'>Party</table> </table> <table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'><tbody style='width: auto;'><tr style='width: auto;'><table style='border-collapse: collapse; width: auto;'>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>231</page_number>
European elections
**European election nominations list, London**
**4 Freedoms Party**
Dirk Nicholas Downing Hazel
Noelle Anne O'Sullivan
Geoff Gibas
Aline Regine Simone Renée Doussin
Andrew Bell
Deborah Claire Phillips
Royston Alexander Flude
Brendan Patrick Donnelly
**Christian Peoples Alliance**
Sid Cordle
Yemi Awolola
Ashley Keith Dickenson
Sharmilla Sundar Swarna
Laurence Williams
Ethel Ohinode Odiete
Kevin William Nichols
Stephen Hammond
**An Independence from Europe**
Patrick Burns
Mariene Daniel
Careh Griffiths
Munpreet Bhaghal
Sharon Greenfield
Eddie Yeoman
Fred Atkins
Jean Atkins
**Animal Welfare Party**
Vanessa Helen Hudson
Alexander Leslie Bourke
Kirsteen Williamson-Guinn
Andrew David knight
Dimple Patel
Meg Mathews
Guy Richard Dessoy
Ranjan Kumar Joshi
**British National Party**
Stephen Squire
Donna Treanor
Paul Sturdy
John Clarke
David Fumess
Cliff Le May
Ray Underwood
Kevin Lazell
**Communities United Party**
Kamran Malik
Humera Kamran
Cydatty Bogie
Mary Coleman-Mary Coleman
Idris Aden Ali
Reuben Agharese Edokpayi
Sunita Kaur Singh
Joanne Flanders
**Conservative Party**
Syed Salah Kamall
Timothy Charles Ayrton Tannock
Marina Yannakoudakis
Caroline Louise Attfield
Lynne Rosemary Hack
Sheila Margaret Mary Lawlor
Glyn Edward Chambers
Annesley George Abercorn
**English Democrats**
Tommy Iuliu Joul Tomescu
Andrzej Rygielski
Vanessa Del Carmen Guerrero Rodriguez
Robin Ashenden
Emil Yulev Rusanov
Georgios Papagigorakis
**Green Party**
Jean Denise Lambert
Caroline Jane Allen
Haroon Saad
Shahram Ali
Danny Bates
Tracey Jo Hague
Violeta Vajda
Amelia Womack
<page_number>232</page_number>
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
European elections
**European election nominations list, London**
**Harmony Party**
David Vincent
**Labour Party**
Claude Moraes
Mary Honeyball
Lucy Anderson
Seb Dance
Ivana Bartoletti
Kamaljeet Jandu
Sanchia Alasia
Andrea Biondi
**Liberal Democrats**
Sarah Ann Ludford
Jonathan Harold Fryer
Richard Adam Davis
Anuja Prashar
Rosina Anderson
Tuthul Ozer
Simon Alexander James
Matt J McLaren
**National Health Action Party**
Louise Irvine
Chidi Ejimfo
Marcus Chown
Kathryn Anderson
Rufus Hound
Jessica Ormerod
Andrew Sharp
Alex Ashman
**National Liberal Party – True Liberalism**
Graham Keith Williamson
Jagdeesh Singh
Socalingam Yogalingam
Doris Jones
Upkar Singh Rai
Yusser Anwar
Araz Yurdseven
Bernard Dube
**NO2EU**
Edward Dempsey
Alexander Fraser Gordon
April Ashley
Annie N甘emi
Mary Gillian Davis
Paula Jane Mitchell
Natasha Marie Hoarau
Michael Gilbert Carty
**UK Independence Party**
Gerard Joseph Batten
Paul James Oakley
Elizabeth Erwin Jones
Lawrence James Webb
Alastair Duncan James McFarlane
Anthony Geoffrey Brown
Andrew John McNeillis
Peter Robin Whittle
**Parliamentary constituency comparisons**
The following table compares the share of the vote of the major parties, between the last two borough elections based on the parliamentary constituencies that the wards are part of.
Both the current and previous ward boundaries fit within parliamentary constituency boundaries, though there have been changes to the number of wards in four constituencies. The number of wards in each constituency is shown in the table.
Figures for ‘Cities of London and Westminster’ excludes wards in the City of London.
London Borough Council Elections May 2014
GREATELONDON AUTHORITY <page_number>233</page_number>
234
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Percentage votes cast
<table>
<thead>
<tr>
<td>Constituency</td>
<td>Election</td>
<td>Number of wards</td>
<td>Electorates</td>
<td>Percentage</td>
<td>Conservative</td>
<td>Labour</td>
<td>Liberal Democrat</td>
<td>Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Barking</td>
<td>boro14</td>
<td>11</td>
<td>84,218</td>
<td>36.3</td>
<td>8.5</td>
<td>51.2</td>
<td>3.4</td>
<td>36.9</td>
</tr>
<tr>
<td></td>
<td>boro10</td>
<td>11</td>
<td>78,820</td>
<td>59.9</td>
<td>13.7</td>
<td>48.2</td>
<td>12.8</td>
<td>25.3</td>
</tr>
<tr>
<td>Battersea</td>
<td>boro14</td>
<td>7</td>
<td>81,541</td>
<td>33.9</td>
<td>42.5</td>
<td>29.4</td>
<td>7.6</td>
<td>20.5</td>
</tr>
<tr>
<td></td>
<td>boro10</td>
<td>7</td>
<td>81,830</td>
<td>61.7</td>
<td>48.2</td>
<td>27.0</td>
<td>15.5</td>
<td>9.4</td>
</tr>
<tr>
<td>Beckenham</td>
<td>boro14</td>
<td>6</td>
<td>68,511</td>
<td>41.6</td>
<td>44.7</td>
<td>15.3</td>
<td>8.2</td>
<td>31.8</td>
</tr>
<tr>
<td></td>
<td>boro10</td>
<td>6</td>
<td>67,693</td>
<td>71.3</td>
<td>59.5</td>
<td>13.9</td>
<td>21.1</td>
<td>5.4</td>
</tr>
<tr>
<td>Bermondsey and Old Southwark</td>
<td>boro14</td>
<td>9</td>
<td>93,689</td>
<td>34.7</td>
<td>10.5</td>
<td>34.9</td>
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
Bethnal Green and Bow
<table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Election Type (Election Year)</th>
<th>Electorate (Number of Wards)</th>
<th>Electorate (Percentage)</th>
<th>Electorate (Conservative)</th>
<th>Electorate (Labour)</th>
<th>Electorate (Liberal Democrat)</th>
<th>Electorate (Others)</th></tr>
<tr style="background-color: #f0f0f0;">
<th>Bexleyheath and Crayford (Bexleyheath and Crayford)</th> </tr>
<tr style="background-color: #f0f0f0;">
<th>Bexleyheath and Crayford (Bexleyheath and Crayford)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Election Type (Election Year)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Number of Wards)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Percentage)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Conservative)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Labour)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Liberal Democrat)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Others)</th> </tr></tbody></table></table></table></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>
Brent Central
<table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Election Type (Election Year)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Number of Wards)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Percentage)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Conservative)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Labour)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Liberal Democrat)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Others)</th> </tr></tbody></table></table></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>
Brent North
<table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Election Type (Election Year)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Number of Wards)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Percentage)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Electorate (Conservative)</th> <table style="width: 100%;">
<tbody style="text-align: center;">
<tr style="background-color: #f
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>235</page_number>
Percentage votes cast
<table>
<thead>
<tr>
<td>Constituency</td>
<td>Election</td>
<td>Number of wards</td>
<td>Electorale</td>
<td>% poll</td>
<td>Conservative</td>
<td>Labour</td>
<td>Liberal Democrat</td>
<td>others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Ealing, Southall</td>
<td>boro14<br>boro10</td>
<td>7<br>71,937</td>
<td>44.3</td>
<td>17.9</td>
<td>61.9</td>
<td>6.3</td>
<td>13.8</td>
<td></td>
</tr>
<tr>
<td>East Ham</td>
<td>boro14<br>boro10</td>
<td>10<br>95,767</td>
<td>43.4</td>
<td>24.8</td>
<td>61.8</td>
<td>3.8</td>
<td>9.6</td>
<td></td>
</tr>
<tr>
<td>Edmonton</td>
<td>boro14<br>boro10</td>
<td>7<br>69,287</td>
<td>36.6</td>
<td>17.4</td>
<td>55.7</td>
<td>1.7</td>
<td>25.2</td>
<td></td>
</tr>
<tr>
<td>Eltham</td>
<td>boro14<br>boro10</td>
<td>7<br>65,785</td>
<td>40.5</td>
<td>23.0</td>
<td>33.0</td>
<td>5.1</td>
<td>38.9</td>
<td></td>
</tr>
<tr>
<td>Enfield North</td>
<td>boro14<br>boro10</td>
<td>7<br>70,768</td>
<td>39.5</td>
<td>26.0</td>
<td>36.3</td>
<td>0.9</td>
<td><strong>36.8</strong></td>
<td></td>
</tr>
<tr>
<td>Enfield, Southgate</td>
<td>boro14<br>boro10</td>
<td>7<br>69,919</td>
<td>38.4</td>
<td><strong>34.0</strong></td>
<td><strong>34.8</strong></td>
<td><strong><em style="font-weight: bold;">6.4)</em></strong></ td>
<span style="font-weight: bold;"><em style="font-weight: bold;">24.8)</em></span> <em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span> <br><em style="font-weight: bold;">22.0)</em></span><br>Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Etham and Thamesmead
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Feltham and Heston
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Finchley and Golders Green
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Greenwich and Woolwich
Hackney North<br/>and Stoke Newington
Hackney South and Shoreditch
Hammersmith
Hampstead and Kilburn
Harrow East
Harrow West
Hayes and Harlington
Hendon
Holborn and St Pancras
Hornchurch and Upminster
Hornsey and Wood Green
Ilford North
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<th>Electorate<th>% poll<th colspan='3'>Conservative<th colspan='3'>Labour<th colspan='3'>Liberal Democrat<th colspan='3'>others<th colspan='3'></table>
<table border='1'>
<tr><th>Election<th>Type<th>Numbert of wards<td align=right>electorate<td align=right>% poll<td align=right><strong>Congressional Districts (CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><strong>(CDs) </strong><<strong>(CDs) </strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt></strt>.</tr>
<table border=1 cellspacing=0 cellpadding=5 width=55% height=55%>
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236
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
Percentage votes cast
<table>
<thead>
<tr>
<td>Constituency</td>
<td>Electorates</td>
<td>Number of wards</td>
<td>Percentage</td>
<td>Conservative</td>
<td>Labour</td>
<td>Liberal Democrat</td>
<td>Others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Ilford South</td>
<td><strong>boro14</strong></td>
<td><strong>9</strong></td>
<td><strong>96,561</strong></td>
<td><strong>38.8</strong></td>
<td><strong>21.8</strong></td>
<td><strong>55.4</strong></td>
<td><strong>11.7</strong></td>
<td><strong>11.0</strong></td>
</tr>
<tr>
<td></td>
<td><strong>boro10</strong></td>
<td><strong>9</strong></td>
<td><strong>89,507</strong></td>
<td><strong>58.8</strong></td>
<td><strong>26.5</strong></td>
<td><strong>46.6</strong></td>
<td><strong>23.0</strong></td>
<td><strong>3.9</strong></td>
</tr>
<tr>
<td>Islington North</td>
<td><strong>boro14</strong></td>
<td><strong>8</strong></td>
<td><strong>78,986</strong></td>
<td><strong>39.7</strong></td>
<td><strong>5.3</strong></td>
<td><strong>55.9</strong></td>
<td><strong>15.1</strong></td>
<td><strong>23.7</strong></td>
</tr>
<tr>
<td></td>
<td><strong>boro10</strong></td>
<td><strong>8</strong></td>
<td><strong>74,338</strong></td>
<td><strong>62.6</strong></td>
<td><strong>11.9</strong></td>
<td><strong>39.7</strong></td>
<td><strong>33.2</strong></td>
<td><strong>15.3</strong></td>
</tr>
<tr>
<td>Islington South and Finsbury</td>
<td><strong>boro14</strong></td>
<td><strong>8</strong></td>
<td><strong>76,296</strong></td>
<td><strong>37.0</strong></td>
<td><strong>14.7</strong></td>
<td><strong>53.4</strong></td>
<td><strong>13.4</strong></td>
<td><strong>18.5</strong></td>
</tr>
<tr>
<td></td>
<td><strong>boro10</strong></td>
<td><strong>8</strong></td>
<td><strong>74,104</strong></td>
<td><strong>61.2</strong></td>
<td><strong>19.4</strong></td>
<td><strong>38.5</strong></td>
<td><strong>29.5</strong></td>
<td><strong>12.6</strong></td>
</tr>
<tr>
<td>Kensington</td>
<td><em style="font-weight: bold;">boro14<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>boro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/>oro10<br/></em style="font-weight: bold;"><em style="font-weight: bold;">boro14 8 78,764 7 72,493 7 75,823 7 80,637 7 74,077 7 77,003 7 86,597 7 88,637 7 88,258 7 84,757 7 83,705 7 83,693 7 75,801 7 72,475 7 76,339 7 84,798 7 83,530 7 93,466 7 84,292 7 86,422 7 86,422 7 86,422 7 86,422 7 86,422 7 86,422 7 86,422 7 86,422 7 86,422 7 </em style="font-weight: bold;"><em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">boro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 <em style="font-weight: bold;">oro14 </em/></table>
Parliamentary constituencies
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>237</page_number>
Percentage votes cast
<table>
<thead>
<tr>
<td>Constituency</td>
<td>Election</td>
<td>Number of wards</td>
<td>Electorates</td>
<td>% poll</td>
<td>Conservative</td>
<td>Labour</td>
<td>Liberal Democrat</td>
<td>others</td>
</tr>
</thead>
<tbody>
<tr>
<td>Vauxhall</td>
<td><code>boro14</code></td>
<td>8</td>
<td>85,921</td>
<td>32.8</td>
<td>16.3</td>
<td>49.6</td>
<td>12.4</td>
<td>21.7</td>
</tr>
<tr>
<td></td>
<td><code>boro10</code></td>
<td>8</td>
<td>84,344</td>
<td>54.8</td>
<td>19.5</td>
<td>43.1</td>
<td>28.2</td>
<td>9.1</td>
</tr>
<tr>
<td>Walthamstow</td>
<td><code>boro14</code></td>
<td>8</td>
<td>77,261</td>
<td>37.5</td>
<td>10.1</td>
<td>54.2</td>
<td>9.7</td>
<td><strong>26.0</strong></td>
</tr>
<tr>
<td></td>
<td><code>boro10</code></td>
<td>8</td>
<td>73,224</td>
<td>58.2</td>
<td>12.8</td>
<td>42.9</td>
<td>27.8</td>
<td>16.5</td>
</tr>
<tr>
<td>West Ham</td>
<td><code>boro14</code></td>
<td><strong>10</strong></thod="99,128"</thod="37.7"</thod="19.4"</thod="59.3"</thod="3.5"</thod="17.8">
</thod="96,459"</thod="51.4"</thod="15.7"</thod="62.0"</thod="2.7"</thod="19.6">
</thod="72,504"</thod="32.5"</thod="33.7"</thod="42.3"</thod="6.6"</thod="17.5">
</thod="77,117"</thod="55.1"</thod="35.7"</thod="34.1"</thod="16.9"</thod="13.3">
</thod="71,836"</thod="43.6"</thod="38.5"</thod="25.0"</thod="12.7"</thod="23.8">
</thod="70,681"</thod="69.4"</thod="41.5"</thod="18.5"</thod="24.9"</thod="15.1">
</thod="636,5,878,824"</thod="38.9"</thod="26.1"</thod="37.4"</thod="10.2"</thod="26.3">
</thod="624,5,689,223"</thod="62.0"</thod="32.0"</thod="32.6"</thod="22.0"</thod="13.4">
</table>
Parliamentary constituencies
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014 <page_number>237</page_number>
**Full list of candidates in the 2014 election**
**Notes**
Elected candidates are denoted by an asterisk against their name.
The page on which the candidate appears in the Results is shown against each name.
<table>
<thead>
<tr>
<td colspan="3">Index of candidates</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Akhiri, Zabdi</strong></td>
<td><strong>51</strong></td>
<td><strong>Ahmed, Rajib</strong></td>
<td><strong>172</strong></td>
<td><strong>Aliya, Jana</strong></td>
<td><strong>20</strong></td>
<td><strong>Ashraf, Mohsinur</strong></td>
<td><strong>147</strong></td>
<td><strong>Bakey, Dary M.</strong></td>
<td><strong>120</strong></td>
</tr>
<tr>
<td><strong>Axera, Mark</strong></td>
<td><strong>146</strong></td>
<td><strong>Ayreski, Ruyfe Lu</strong></td>
<td><strong>172</strong></td>
<td><strong>Ali, Jana</strong></td>
<td><strong>20</strong></td>
<td><strong>Ashraf, Mohsinur</strong></td>
<td><strong>147</strong></td>
<td><strong>Bakey, Dary M.</strong></td>
<td><strong>120</strong></td>
</tr>
<tr>
<td><strong>Axera, Uzairi</strong></td>
<td><strong>146</strong></td>
<td><strong>Ayreski, Ruyfe Lu</strong></td>
<td><strong>172</strong></td>
<td><strong>J. Ali, Jana</strong></td>
<td><strong>20</strong></td>
<td><strong>Hakim, Sarwar M.</强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强强弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱弱点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点点
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>239</page_number>
**Index of Candidates**
<table>
<thead>
<tr>
<th>Position</th>
<th>Name</th>
<th>Number</th>
<th>Party</th>
<th>Address</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th>
<th>Electorate</th><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td colspan="2">Bos, Rovner M<br>Bosford, Dan<br>Bossy, Celia<br>Cass<br>Chee, Cherie<br>Ciavelli, Christopher<br>Davis, Barney<br>Dietz, Margo L<br>Dietz, Stephen A<br>Dietz, Stephanie M<br>Dietz, Sarah<br>Dietz, Sarah A<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>Dietz, Timothy<br>D Dietzsensky M.<td colspan="2">Boschel: 1798-1799; 1805-1806; 1810-1811; 1815-1816; 1820-1821; 1825-1826; 1830-1831; 1835-1836; 1840-1841; 1845-1846; 1850-1851; 1855-1856; 1860-1861; 1865-1866; 1870-1871; 1875-1876; 1880-1881; 1885-1886; 1890-1891; 1900-1901; 1905-1906; 1920-1921; 1925-1926; 1930-1931; 1935-1936; 1940-1941; 1945-1946; 1950-1951; 1955-1956; 2000-2002; 2005-2006; 2020-2022; 2025-2026; 2030-2032; 2035-2036; 2040-2042; 2045-2046; 2050-2052; 2055-2056;</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<tr>
<td colspan="3">Boschel: D. H.<td colspan="3">Boschel: D. H.</td></tr>
<table cellspacing='none'>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Position</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Name</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Number</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Party</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Address</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Electorate</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Electorate</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Electorate</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Electorate</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Electorate</th>
<thead style='text-align:center'>
<tr style='background-color:#fddcda;border-collapse:border'>
<th style='text-align:left;padding-right:.7em;padding-left:.7em;padding-top:.7em;padding-bottom:.7em;'>Electorate</th>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
</thead>
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<table>
<thead>
<tr>
<td colspan="3">Index of candidates</td>
</tr>
</thead>
<tbody>
<tr>
<td>Caldrett, Edwain</td>
<td>761</td>
<td>Calthorn, Chris</td>
<td>135</td>
<td>Christie, Susan J.</td>
<td>57</td>
<td>Caldwell, Connor A.</td>
<td>103</td>
<td>Conradt, Francis E. M.</td>
<td>167</td>
</tr>
<tr>
<td>Caldrett, James</td>
<td>119</td>
<td>Calthorn, John J.</td>
<td>38</td>
<td>Christie, Stewart T.</td>
<td>111</td>
<td>Caldwell, Derek M.</td>
<td>59</td>
<td>Conforti, Angha J. Ms.</td>
<td>59</td>
</tr>
<tr>
<td>Caldrett, Peter</td>
<td>242</td>
<td>Calthorn, John J.</td>
<td>38</td>
<td>Christie, Stewart T.</td>
<td>111</td>
<td>Caldwell, Derek M.</td>
<td>59</td>
<td>Jones, John J. P. Kfhs.</td>
<td>59</td>
</tr>
<tr>
<td>Caldrett, Piot</td>
<td>242</td>
<td>Calthorn, John J.</td>
<td>38</td>
<td>Christie, Stewart T.</td>
<td>111</td>
<td>Caldwell, Derek M.</td>
<td>59</td>
<td>Lee, John J. P. Kfhs.</td>
<td>59</td>
</tr>
<tr>
<td>Caldrett, Robert</td>
<td>242</td>
<td>Calthorn, John J.</td>
<td>38</td>
<td>Christie, Stewart T.</td>
<td>111</td>
<td>Caldwell, Derek M.</td>
<td>59</td>
<td>Lee, John J. P. Kfhs.</td>
<td>59</td>
</tr>
<tr>
<td>Caldrett, Robert</td>
<td>242</td>
<td>Calthorn, John J.</td>
<td>38</td>
<td>Christie, Stewart T.</td>
<td>111</td>
<td>Caldwell, Derek M.</td>
<td>59</td>
<td>Lee, John J. P. Kfhs.</td>
<td>59</td>
</tr>
<tr>
<td>Caldrett, Robert</td>
<td>242</td>
<td>Calthorn, John J.</td>
<td>38</td>
<td>Christie, Stewart T.</td>
<td>111</td>
<td>Caldwell, Derek M.</td>
<td>59</td>
<td>Lee, John J. P. Kfhs.</td>
<td>59</td>
</tr>
<tr><th colspan="3">LONDON BOROUGH COUNCIL ELECTIONS MAY 2014</th></tr>
<tr><th rowspan="2">Caldrett, Robert<br>Peter<br>Piot<br>Robert<br>A<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B<br>L<br>Ms<br>B...<br></th><th rowspan="2">Caldrett, Robert Piot Peter Robert A Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B L Ms B LMsB...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMsB LSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSMSBLSM...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMsBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL MSBSL...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS LS SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL SL...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS LS...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS LS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS SSSS SSSS SSSS SSSS SSSS SSSS SSSS SSSS SSSS SSSS...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL SSL...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SSHH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH SHSH...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HHHHH HH...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS HHS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS HS...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS HHSHS...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HL HLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLHLL...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH LH...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS HLS...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LLC LCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCCLLCClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcClcCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCoCo...<br></th><th rowspan="2">Caldrett, Robert Peter Piot Robert AMs BS CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCC CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCCCECCCCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CECCCC CEccccceccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccccecccceccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccceeccseeeccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccecceccec 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CsCs CsCs CsCs CsCs CsCs CsCs CsCs CsCs CsCs CsCS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS CS SCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCSCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCHCH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH CH ChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChChCh Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch Chch 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<img>Description of a table showing candidates and their positions in the London Borough Council elections of 2014. The table includes columns for candidate names (leftmost), position (second column), party affiliation (third column), and position within that party (fourth column).</img>
<table border="1">
<thead style="background-color: #EFEFEF;">
<tr style="text-align: center;">
<th colspan="4" style="font-size: 1.5em;">Index of candidates</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<th style="font-size: 0.8em;">London Borough Council Elections May 2014 - Results by Ward and Candidate Position (Position)</th>
<tr style="text-align: center;">
<th colspan="4" style="font-size: 1.5em;">Index of candidates</th>
<th style="font-size: 0.8em;">Candidate Name(s) & Party Affiliation(s) & Position(s) in the London Borough Council Election of May 2014
<table border='1'>
<thead style='border-bottom: double;'>
<tr style='background-color: #EFEFEF;'>
<th colspan='6'> Candidate Name(s) & Party Affiliation(s) & Position(s) in the London Borough Council Election of May 2014
<table border='1'>
<thead style='border-bottom: double;'>
<tr style='background-color: #EFEFEF;'>
<th colspan='6'> </table>
<table border='1'>
<thead style='border-bottom: double;'>
<tr style='background-color: #EFEFEF;'>
<th colspan='6'> </table>
<table border='1'>
<thead style='border-bottom:
LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>241</page_number>
**Index of Candidates**
* **Crawley, Philippa M.**
* 86
* Davey, Hua P.T.
* 180
* Owens, Catherine S.M.
* 186
* Dowring, Ross M.A.
* 176
* Eglin, Michelle
* 76
* Egerton, Tony
* 91
* Smith, Sarah J.
* 135
* Doherty, Sarah J.
* 147
* Sugg, Sophie M.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
* Eversham, Rosalind C.
* 152
*
* **Crawley, Bian**
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
* **Crawley, Steve**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
* **Crawley-Little**
*
<page_number>242</page_number>
LONDON BOROUGH COUNCIL ELECTION MAY 2014
**Index of candidates**
<table>
<thead>
<tr>
<td>Faz, Faz</td>
<td>179</td>
<td>Vicen, Vicenio M.</td>
<td>171</td>
<td>Gallert, Jeffrey</td>
<td>81</td>
<td>C.E. John T</td>
<td>59</td>
<td>Crews, Matthew R.</td>
<td>183</td>
</tr>
<tr>
<td>Fay, Fay</td>
<td>65</td>
<td>Eddy, Edwry</td>
<td>134</td>
<td>Gallert, Julius O.</td>
<td>82</td>
<td>C.B. Raspat</td>
<td>99</td>
<td>Crews, Miron M.S.</td>
<td>11</td>
</tr>
<tr>
<td>Fay, Fay</td>
<td>65</td>
<td>Eddy, Edwry</td>
<td>134</td>
<td>Gallert, Julius O.</td>
<td>82</td>
<td>C.B. Raspat</td>
<td>99</td>
<td>Crews, Rose M.S.</td>
<td>104</td>
</tr>
<tr>
<td>Fay, Fay</td>
<td>65</td>
<td>Eddy, Edwry</td>
<td>134</td>
<td>Gallert, Julius O.</td>
<td>82</td>
<td>C.B. Raspat</td>
<td>99</td>
<td>Crews, Rose M.S.</td>
<td>104</td>
</tr>
<tr>
<td>Fay, Fay</td>
<td>65</td>
<td>Eddy, Edwry</td>
<td>134</td>
<td>Gallert, Julius O.</td>
<td>82</td>
<td>C.B. Raspat</td>
<td>99</td>
<td>Crews, Rose M.S.</td>
<td>104</td>
</tr>
<tr>
<td>Fay, Fay</td>
<td>65</td>
<td>Eddy, Edwry</td>
<td>134</td>
<td>Gallert, Julius O.</td>
<td>82</td>
<td>C.B. Raspat</td>
<td>99</td>
<td>Crews, Rose M.S.</td>
<td>104</td>
</tr>
<tr>
<td>Fay, Fay</td>
<td>65</td>
<td>Eddy, Edwry</td>
<td>134</td>
<td>Gallert, Julius O.</td>
<td>82</td>
<td>C.B. Raspat</td>
<td>99</td>
<td>Crews, Rose M.S.</td>
<td>104</td>
</tr>
<tr>
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LONDON BOROUGH COUNCIL ELECTIONS MAY 2014
<page_number>243</page_number>
Index of Candidates
HALL, Edoard J.
15 Harris, Patricia Ms.
22 Henshawey, Rosa
165 Horsley, Jon
175 Horsley, Andrew
179 Horsley, Richard
189 Horsley, Sarah M.
195 Horsley, David J.
205 Horsley, James
135 Horsley, James
145 Horsley, David J.
155 Horsley, David J.
165 Horsley, David J.
175 Horsley, David J.
185 Horsley, David J.
195 Horsley, David J.
205 Horsley, David J.
215 Horsley, David J.
225 Horsley, David J.
235 Horsley, David J.
245 Horsley, David J.
255 Horsley, David J.
265 Horsley, David J.
275 Horsley, David J.
285 Horsley, David J.
295 Horsley, David J.
305 Horsley, David J.
315 Horsley, David J.
325 Horsley, David J.
335 Horsley, David J.
345 Horsley, David J.
355 Horsley, David J.
365 Horsley, David J.
375 Horsley, David J.
385 Horsley, David J.
395 Horsley, David J.
405 Horsley, David J.
415 Horsley, David J.
425 Horsley, David J.
435 Horsley, David J.
445 Horsley, David J.
455 Horsley, David J.
465 Horsley, David J.
475 Horsley, David J.
485 Horsley, David J.
495 Horsley, David J.
505 Horsley, David J.
HALI, Lelouen
19 Harrisman, Clare Ms.
HALIYAROV
18 Halayev
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18 Halayev
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18 Halayev
HALAISER A. M.
HALLERSON P. M.
HALLERSON P. M.
HALLERSON P. M.
HALLERSON P. M.
HALLERSON P. M.
HALLERSON P. M.
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HALEKIN A.M.S., L.C., S.D.S., F.R.C.P.G.P., F.R.C.P.E., F.R.C.P.H., F.R.C.P.I., F.R.C.P.N., F.R.C.P.S., F.R.C.P.T., F.R.C.S., F.R.C.S.E., F.R.C.S.G.P., F.R.C.S.I., F.R.C.S.H., F.R.C.S.I.A., F.R.C.S.I.B., F.R.C.S.I.C., F.R.C.S.I.D., F.R.C.S.I.E., F.R.C.S.I.F., F.R.C.S.I.G., F.R.C.S.I.H., F.R.C.S.I.J., F.R.C.S.I.K., F.R.C.S.I.L., F.R.C.S.I.M., F.R.C.S.I.N., F.R.C.S.I.O., F.R.C.S.I.P., F.R.C.S.I.Q., F.R.C.S.I.R., F.R.C.S.I.T., F.R.C.S.I.V., F.R.C.S.I.W., F.R.C.S.I.X., F.R.C.S.I.Y., F.R.C.S.I.Z., F.R.C.S.I.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A.A..
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<img>Cyfoeth Naturiol Cymru Natural Resources Wales logo</img>
# Newborough
## Comments on draft Way Forward
Developing a Way Forward for Newborough
Here are the comments NRW has received on its draft Way Forward for Newborough. Comments were received at a drop-in session at Newborough on 24 February 2016 and subsequently via correspondence.
We are grateful for all comments received. They are all being considered as we draft detailed objectives for site management which will be available for everyone to give their views later in the Autumn 2016.
**Comments on the General approach**
I would like you to give at least working titles for the broad areas of management you intend to address. I would like to know what the prime motivators of bringing about this new era of management for NF are. You appear to be reluctant to state them. I would like proper timescales and not just ‘summer’ for when the consultations on your detailed proposals will take place, and how long, exactly, the period for responses will be. I would like some reassurance that the Brave New World of NRW management will be materially and constructively different from the ‘we know best’ of old, which can hardly have been said to be successful.
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Hope the new organisation will keep the good work up and hopefully improve all aspects.
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Above all, I would like to see – and it ought to be the case – that NRW do not continue with what many have perceived, with some justification, as a secretive, bunker mentality when it comes to managing NF. Secondly, you do not make clear what the “challenges” are.
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First of all I want to make compliments to NRW for this approach and in your goal finding the right balance. Management however is about making choices and NRW at the end is responsible for making this choices and also in making clear which priorities play a role in this.
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Mi hoffwn ddatgan ein cefnogaeth i'r ymdrechion yn eich dogfen isod i reali Tywyn Niwbwrch mewn ffordd integreiddiedig ar draws sawl ystod o reolaeth. Hoffem weld eich rheolaeth, hyd eithaf eich gallu, yn pachu integriti ecolegol a deinamig y twyni yng nghyd-destun y gorffennol (yr olyniaeth
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk
\<page_number>Page 1 of 10\</page_number> hanesyddol cyfoethog y mae'r gymuned leol yn ei rhoi i'n gwerthfawrogiad o'r safle) a'r dyfodol (bygythion tymor hir a chanolig o newidiadau yn lefel y môr)
Tasg anodd ond tasg gwerthchweil sydd yn haeddu adnoddau
I would like declare our support of the efforts described in your document below to manage Newborough Warren in an integrated way through a varied range of management. We would like to see your management, to the best of your ability, respecting the ecology and dynamic integrity of the dunes in the context of the past (the rich historical continuity the local community gives to our appreciation of the site) and the future ( long and medium term threats of changes to the sea level)
A difficult task but worthwhile task which deserves resources.
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**Landscape**
Landscape and seascape including coastal landforms, forest, geology and geomorphology
In this way I also want to point the importance of the site for research & knowledge exchange and the need for rejuvenation experiments & monitoring. NRW has chosen a very innovative and challenging approach. And I think it's a good thing! If new rejuvenation projects could be an option best option should be to transport the topsoil to the beach where wind & water can do their job much easier.
Dynamic dunes are the best way forward because of sea-level rise and climate change! So beware of infrastructure, houses or other development that would hinder the dynamic of dunes.
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**Habitats and Species**
**This includes coastal, forest and woodland habitats and the associated species**
Replant areas of forest to replace those that are intended on being felled.
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Protect Species - Ponds on Warren have been destroyed by livestock - Couldn't the areas be fenced to protect at least part of the ponds to restore amphibians etc.
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As a coastal dune specialist I was present at the 60th anniversary meeting of Newborough warren. The outcomes of this meeting should be taken in account closely.
What I want to emphasize is that coastal dune management only can be done on coastal dunes! And this are rare and threatened habitats in the UK, EU and probably the whole world! (And Pine forests for example are not!) So extra attention for save guarding internationally (European Habitats directive) highly appreciated habitats and species.
Furthermore I think we need further research on hydrological impact of your forest on dune slacks (e.g. Newborough) and upstream farmlands ( Aberffraw dunes ).
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk
\<page_number>Page 2 of 10\</page_number> As climate change benefits invasive alien species an early warning system can be a lot cheaper than management at the end. Also pine species from your planted forest threatens open dune development.
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Punt Gunning - Straits Shooting Society - is this still allowed off Aber Menai? - CCW permission had devastating impact on birds.
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Rwy'n dal i ddigswyl "atebion" i lawer o gwestynwad dros y blynwddoedd. Clywais gryn rwdls anwyddonol dros y cyfnod a ddolwr fod yn dwyn gwwarth ar selyddu sy'n honi gwarchod y byd naturiol. Prunbynwm mae hanfod fy ngwestwn wedi ef amlindu uchod - pa bryd y gwelir tymni'r coed oddi ar y safle, ac yn y tymor byr pa bryd y gwelir gwreiddu tymni yr ychydig aceri pellach o goed sydd yn cyfarnol presennol?
I am still awaiting 'answers' to several questions over the years. I have heard several unscientific nonsense during this period which should shame an organisation which claims it protects the natural world. However, the essence of my question has been outlined above - when will we see the trees being removed from the site, and in the short term when will the work of removing the further acres of trees which is included in the present plan ?
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Query around common standards monitoring
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In general, the text is interesting, invokes enthusiasm and is well balanced. A few remarks:
- In my opinion the text is a bit too well balanced; conservation of the ecosystem specific biodiversity should have a larger weight.
- Therefore, in the part 'habitats & species' I would (very briefly) include an evolutionary perspective. Species exclusively found in coastal dunes (Elymus farctus, Viola curtisi, Asparagus prostrates, Petalothyrum (?), ...), beaches (Cakile maritime, Atriplex laciniata, A. glabriuscula, Charadrius alexandrinus?, ...) or salt marsh (Limonium, Halimione, ...) (and of course lots of invert...) have a very long history of adaptation to these environments; a history that deserves respect irrespective of human interests. This means the specific biodiversity of the (dynamic) coastal environment deserves a priority treatment. It cannot be conserved elsewhere.
- This also means a dune forest with sylvicultural goals (including planting of non-native species) should not be an option here.
- More attention could be paid to the fixation of dunes in NW Europe. This is a major challenge for dune conservation and the processes are not yet fully understood.
- The site can be promoted as a laboratorium for scientific research and environmental education.
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Y mae'r dynodiad Eropeaid (SAC) wedi cael ei anwybyddu'n ddifrifol ar dros hanner y safle. Oni ellir ddyddym y dynodiad, yna mae Cyfoeth Naturiol Cymru yn gweithrednu groes i brif swyddogaeth y safle. Dyllid mynd ati rhag blaan i sicrhau nad ydwyr' blanhigfa estron yn difeita hydroleg y safle a ddyddym Ilystyfiant naturiol y twyni. Dylai'r coed yma gael eu torri a chodi eu bonion ac adfer y safleystal ag y gellid.
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk \<page_number>Page 3 of 10\</page_number> (Y mae ynfytrwydd cyflwyno wierod i safle lle na ddylai coed fod yn hunanesboniadol - symudur i rywle arall)
The European designation (SAC) has been seriously ignored over half the site. Unless the notation can be cancelled, then Natural Resources Wales are operating in contravention of site’s main rôle. We should proceed ahead of time to ensure that this non-native plantation does not destroy the site’s hydrology and is not eradicating the dune’s natural vegetation. These trees should be cut and their stems dug out and the site should be restored as far as possible.
(It is utter foolishness to introduce squirrels to a site where trees should not exist is self-explanatory – should be moved to another location)
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**People**
This includes the local community, visitors, culture and heritage, access, recreation, education and interpretation
Facebook page to show info and get info. Clear id to separate noisy and quiet areas. Marram Grass and other campsites encourage dog owners to use lanes to walk dogs etc.
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It has been interesting to learn why seemingly random work has been done. It makes more sense once you know the reason!
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More information generally. Why you’d be creating mobile dunes etc.
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Future plans for dog walkers. Bridleway across whole field. Change kissing gate to ordinary gate/ risk of ponies escaping.
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Keep areas fairly separate as they are now. Forest car park stays very busy so if one is walking or horse riding one knows where the quiet areas are. Love the horse box car park on the Maltraeth side (A4080) and the corral to saddle up. A shame it’s often used by tourists in summer.
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Feel it would be useful/relevant for a visual (diagram/plan) to be seen in various sites around the forest - indicating WHY the change in the landscape is happening. Think also this sort of open discussions may not be realistically feasible as projected plans cannot only answer the public fears.
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Close the access barrier at night (still access to locals only as it used to be, using key fob) so people cannot go and camp down there.
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk \<page_number>Page 4 of 10\</page_number>
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It might be an idea to put diversion signs on the main coastal path that is underwater at the moment. Maybe it could be built up a bit along to the new bridge - the new pond helps but the path is completely underwater in places - not good when people are on a long walk! (I know it has been very wet).
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Increased communication between NRW and the community so that we understand why changes are made to the forest, not "just because" but the environmental business and other reasons. We believe that the forest is ours & like to protect it - no one likes change, but when there is a justified reason then it is accepted.
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With visitor numbers up, we need more people on site who could help visitors make more of this site. Visitor centre in main car park. Regular guided walks, more help for people unable to get about. Ensure blue trail is kept in good order.
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What can you do about dogs off leads? I don't know! I no longer go into forest as a walker because of this. More information for people with dogs - why they shouldn't groom their animals in wildlife ponds.
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Riding for disabled car park too small dealing with numbers.
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More information avenues and data formats. Tactile and audible signs etc. Autistic friendly MP3 - Autistic Society short phrasing MP3, for riders and sensory deprivation, Geomapping/information tiles - iPhone tiles - guide dogs, Tile app.com.
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Warden on site - no access to staff to answer questions re: forest/dunes no information leaflets for educational use for public.
Can park and ride be arranged for the public when the forest is closed for a private event 'Sandman Triathlon@ loss of income. Also major loss of income on New Years' day car park full by 10.30 and continued all day.
Dog packs - Growing number of professional dog walkers without leads - out of control.
Paths - Why can't the paths marked as Red Squirrel Route not be made up to level above 'flooding ground all year round access for visitors/children. What was the £10,000 grant for? Also access path to the Abermenai Reserve bring back previous level. Gate is too heavy, it will be left open during the season by visitors.
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk
\<page_number>Page 5 of 10\</page_number> Thirdly, I would not welcome the increased 'urbanisation' of the forest with signs, barriers and so-called facilities for the disabled - often tokenistic due to tick-box, hypotheatced funding approaches and very rarely used. The deployment of entirely pointless and again urbanising banners has added to the feeling that the immediate predecessors of NRW, and perhaps NRW in its earlier days, has sought to commercialise the forest in an inappropriate and unsuccessful way.
Fourthly, the increased focus on increasing car parking at NF is incompatible with environmental protection. However, the road toll is lucrative, which appears to sway NRW away from core 'green' principles and towards revenue generation. We do not want to wait for buses that never arrive, but we also want to see progressive moves away from everyone driving to the beach directly.
Fifthly, I am firmly opposed to commercial developments such as business parks, which NF management has actively pursued recently.
Sixthly, I hope that the petty and often unnecessary pursuit of zero-risk management does not lead to the unreasonable separation of activities at the beach areas. The ability for families to mix amongst and interact with those, for example, engaging in kite surfing, is always enjoyable and invariably relaxed and mutually-respectful in terms of allowing space and keeping activities safe in a self-regulated manner. There is no need to ghettoise the beach into 'zones'.
Lastly, I consider that NRW must be extremely careful in its pursuit of income generation (which is not stated as an objective in your materials, but is known to be a driver from inside information), not to do that which is always done in areas attractive to visitors – to destroy it through commercialisation and inappropriate development. In performing its 'management', an open, and not closed set of ears must be kept for locals and professionals alike. Ignoring both these elements, including your own in-house experts, led to the immediate and expensive failure of the viewing platform and walkways.
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Yn dilyn eich siwsin 'Gwal Heibio' a'r rhaglen sgyrsiau yn Neuadd Pritchard Jones, Niwbwrch yn ddiweddwr hoffwn gyfiwyrn o sylwadau am drefnaethau Tywyn a chedwig Niwbwrch, sydd yn hynod o bwysig i'w warchod ar gyfer y dyfodol. Mae'r ardal hon yn unigryw o ran amrediad cyfeitho, gyfoeth hanesyddol a diwllynniol, Oes y Cerrig hyd at dorri'r morhesg cyn yr Al Ryfel Byd ac ei lle mewn llenwyddiaeth Gymraeg megis pwsywgrwydd ar ydal yng nwyfan Dafyth ap Gwilym; heb sôn am ddeareog am teimlaf yn gryf fod agweddu penodol anned o gwarchod a'u hedegni ymhellach nid er mwyn y trigion lleol ond o ran trefnaeth Cymru.
1. Mae sawl enghraff a aneddau hanesyddol, sy'n amlwg yn dangos cyfnod cynharach y tywyn ble oedd amaethu'n bosib. Mae bob un o'r rhain gyda'u 'stori' unigryw yn hun sel: Tir Forgan, Y Pandy, Hendai, clwt gwlb y rhosydd. Mae'r storiau yma'n amryw o wybodaeth am y teulucoh d'afu's hanes i Diforgan sydd yn safle hanesyddol cenedlaethol o bwyss a hymnyi weddi ei gofnodi. Byddwn yn fwy na bodlon cynnig synopsis o'r 'storau' fyn i chi pe dymunchw. Hoffwn iaw gwel ei saiantaeth yn eu diogelu fel nad ywnt yn difrodi fwyfwfy e.e. megis clirio coed sy'n tyfu ynddynt ac o'u hamgych, cryfhau ciodlau ayb. Bu hyn yn digwydd yn gyfennioli, felly ni wela pan ni ne gall ei wneud eto.
2. Gŵyr pawb am y diwydant morhesg yn Niwbwrch; ond mae bellach yn eiliadu iddi fod yn unfed awr ar ddeg, gadael yn ond unnon yn gallu gneweon y beth forhesg. Felly oni byddai yn gam arloesio i adfer darn o'r goedwig ble eddwy morhesg yn cael ei gynaefau megis Cwt Cynon neu Fraich y Fuches? Roedd y mwyafrif r o'r torri morhesg yn digwydd yn ardal y geodedig bresennol a'r 2 ardal orau oedd Cwt Cynon a Braich y
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk \<page_number>Page 6 of 10\</page_number> Fuches. Byddai coll'r grefft a'r wmywyddiaeth o Ileoladu am byth yn drasedi cenedlaethol yn y pendraw. Yn fy marn i mae yna ddyletswydd ar gorff fel CNC, gyda'i holl rwydwraith o bartneriaid i wneud y cyswlft rhwng y tirlun hanesyddol a chflyrfa a hanes y lleucar tir dan rheolaeth heddii. Ni all gwahanu fyny y holl amcanion, mae'r safie yn hanes o diwylliant.
3. Credaf ei bod yn hanfodol cadw/achub defnydd enwau ardalodd penodol o fewn y goedwig a'r tywyn presennol cyn iddynt ryd an gofn. Gwyddom yn rhy dda fel maen enwau "newydd" yn cael eu creu oherwydd nad oes wmywyddiaeth o'r hen enwau - oni dyal prosiect gael ei greu ar y cyd gyda Chymdeithas Enwau Llecedd i gnofni'r enwau hyn am byth? Mae niferoedd y trigolion lleol sy'n adnabod rhannau o'r goedwig a'r tywyn yn brinbau bob blwyddyn nes na fydd neb ar lloedd yn defnyddio'r tywyn cyfan i'w hewningod a morhesg ac yn eu galw wrth yr enw hwyn. A braf fydai gweld hyd yn eod bydradu dehongil bach fel a geir yn Llanddwyn e.e. Myrddin Cil. Byddai hyn yn ychwanegu cymaint a broiad ymweylwr a'r goedwig a'r tywyn.
4. O ganlyniad gyfrin syrsiau yn y PJ fel rhan o ddathlant 60 miwydd yw chorwadha feina gnewyllun brwdfridyog a bobl lleol baeliau gyda diddordeb mawr mewn sefydlu grwp trefadaeth a hanes yn yr ardal. Mi fuasai grofp or fath yn cynnig nifer o gyfleuon i wrifodoli a chyfrannu o trefadaeth lleol yn nalgych Nibwvbrch a Rhosyr. Hoffwn holi os oes modd I CNY gyfrannu i grwp or fath o swbgywt gwirfodoli, gwraith maes, ymchwili, hanes lleol ayb? Mae nefyd cyfryn amhwg i ennwm Hiamau doddordeb yn y plant bach lleol i sicrhau bod hanes lleol yn cael ei drosglwyydd er cenedlaethaet nesa!
Byddai'n falim gal rhyn syrrwm, sydd gyda! grewiddiau mynd mynd yn ol 5 cenedlaethel yn byw mya'r Ardnwin, weld bod chi fel asiantaeth naw barod i gydogan bwysiggwydd hanesddydd a diwyllanaw d'ardal yn hytrach na colbwnytsoi yn gyfangwbwl ar ochr coedwigatham masnachol yn ardal; er cyn bwsysedc ydi hymny. Byddai creu prosiectau fel yr uchod yn dod â'r gumedyn yn un i warchod eu trefadaethaen yr cynrig cyffel iddynt perchnogi dann allwedlu o ardal o harddwch eithriadol. Ond yn bwysicah na dim yw cynrig cyffel blant yr ardal gael cyfeirlof i sicrhau bod eu trefadaetha yn fwy a chflyr fwerthfwrogi'r natur goddlog hefyd.
Wrth didiogelu'r aggeweddu hyn credaf y dylech fel asiantaeth glael pluen yn eich et hor a ron cofnodi aggeweddu bregus iawn sydd ar fin celu am byth i Gymru gyfan. Edrychw ymlael at eich sylwadu.
Following your "Drop In" session and your recent programme of talks at Neuadd Pritchard Jones, Newborough, I would like to present the comments regarding the heritage of Newborough Warren and Forest, which is essential to conserve for the future. This is an unique area as regards its range of wealth, ranging from historical and cultural wealth, from the Stone Age to the cutting of the marram grass before the Second World War and in the part it played within significant Welsh literature, namely the area's importance in the works of Dafydd ap Gwilym; not to mention geology and nature. I feel strongly that specific aspects need to be conserved and interpreted further not (only) for the local inhabitants but for Welsh heritage.
1. There are several examples of historic dwellings, which evidently show the warren's earlier era where agriculture was possible. Each one of these has its own unique 'story' to tell, namely: Tir Forgan, Y Pandy, Hendali, clwt rhwblyd and Rhosydd. These stories are (fraught) with information about the families and their histories (to) Tir Forgan which is also a historic site of national importance (which has been recorded). I would be more than happy to give you a synopsis of these "stories" should you wish. As an agency, I would like to see you safeguarding them so that they do not become even more damaged e.g. such as clearing trees which grow in or around them, reinforcing hedgerows etc. This was done in the past, so I cannot see why this could not be done again.
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk \<page_number>Page 7 of 10\</page_number> 2. Everyone knows about the marram grass industry in Newborough; but we have now arrived at an eleventh hour situation, with only one person left who masters the skill of marram grass weaving. Therefore wouldn’t it be an innovative step to restore part of the forest where marram grass was once harvested, such as Cwt Cocyn or Brachy Fuches. The majority of the work of cutting marram grass was carried out in the area of the present forest and the best two areas were Cwt Cocyn and Brachy Fuches. Losing this craft and the awareness of these locations for ever would ultimately be a national tragedy. In my opinion, a body such as NRW has a duty, given its entire network of partners, to make the link between the historical landscape and the condition and history of this area of land which (is under its control) today. (It) cannot separate all the objectives, the site is an interwoven blend of history, nature and culture.
3. I believe it is essential to conserve/safeguard the use of names for specific areas within the forest and the existing dune (warren) before they’re forgotten for ever. We know only too well that “new” names are created due to lack of awareness of the old names – shouldn’t it be possible to create a project in conjunction with the Association of Place Names to record and keep these names once and for all? The number of local residents who know parts of the forest and the dune (warren) is dwindling every year and in the end there won’t be anyone left who used to (hunt) rabbits and gather marram grass on the whole dunes (warren) and refer to them by these names. And it would be good to see even small interpretation boards such as those at Llanddwyn e.g. Myrddyn Cl. This would add so much more to the experience of visitors who come to the forest and warren.
4. As a result of the programme of talks at PJ as part of the reserve’s 60 anniversary celebrations there now exists a nucleus of enthusiastic local people with a keen interest in establishing a heritage and history group in the area. Such a group would offer several opportunities to volunteer and contribute to local heritage in the catchment area of Newborough and Rhosyr. I would like to ask whether NRW could contribute to such a group in terms of volunteering, fieldwork, research, local history etc? There is also a clear opportunity to spark interest among young children locally to ensure that local history is transferred to the next generation.
It would be a ‘balm for the soul’ for someone who lives here at the Warren and whose roots go back 5 generations, to see that you, as an agency, are now ready to acknowledge the historical and cultural importance of the area rather than focusing purely on its commercial forestry aspect, however important that is. But most importantly, is to provide opportunities for children in the area to have a practical opportunity to ensure that their heritage is alive and also a chance to appreciate the outstanding beauty of its nature.
In my opinion, you would merit a feather in your cap as an agency, in safeguarding these aspects and recording very fragile aspects which Wales as a whole is on the verge of losing forever. I look forward to your comments.
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Motor bikes in forest - minor issue, but some evidence of them using the area.
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Llnau'r safleoedd hanesydol o fewn y goedwig - *Cleaning up historical sites within the forest*
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Tour Guides - Need training or a chaparone - possibly train the trainer?
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk
## \<page_number>Page 8 of 10\</page_number>
Boat launching for residents.
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Gwella'r Ion-culach a lay-by's go iawn - Improve road - narrower with real lay-by's
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Sort out key issue for resident's car park
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Warden Station
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Dog walkers and packs of dogs not under control. Can we restrict/require permits?
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Advertising local businesses at the beach & vice versa
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Road improvements - Cwmhingar car park improvements.
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Cael lle fynd a cwch i lan y mør - somewhere to launch boats
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Cael llefydd 'mond i redwr - Places for runners only
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Byrddau delongli - hanes, natur - Interpretation boards - history, nature.
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Grwp natur i blant - nature/wildlife group for kids
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Cael y Cwt 'bad' achub Llanddwyn ar agar - Get Lifeboat hut open on Llanddwyn
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Gwneud pobl yn fwy ymwbybodol na ni fel pobl sydd yn niweidio bywyd gwylt - Make people more aware that it's people like us that damage wildlife
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk \<page_number>Page 9 of 10\</page_number>
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Request for interpretation signs to be placed on forest edge near Warren to explain the dune work and what paths to take.
______________________________________________________________________
NRW Website requires improvement with regards to recreation available at Newborough. Very plain with no maps etc.
______________________________________________________________________
Develop all ability trails using new technology tile apps etc.
______________________________________________________________________
Closer working relationship on recreation side with Forestry Community Group based in Lyn Parc Mawr.
______________________________________________________________________
Point raised about trying to benefit local community through events organised on site or encouraging local involvement in bike hire etc based in the village.
______________________________________________________________________
Point made to develop the tour guide offer from Holyhead cruise ships to Newborough.
______________________________________________________________________
Point raised about Pen Y Cob car park and the possibility to re-shape and add more space for cars as it is constantly full.
______________________________________________________________________
Point raised about residents car park and how many non-locals are using it now.
______________________________________________________________________
Evans, Helen, 18/07/2016 www.naturalresourceswales.gov.uk
\<page_number>Page 10 of 10\</page_number>
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WELSH
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0127-pdf
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<img>Ground Floor Plan</img> Y Y1
X1
X
Ground Floor Plan
First Floor Plan
Scale 1:100
A PLANNING ISSUE Plan Position rules Date
Closing title Existing plans \<page_number>1186\</page_number> \<page_number>1187\</page_number>
Client Mr & Mrs King by Yvonne Byron Harrington Dutytime Gri: 32T
Neves Architects
64 Spring Gardens Burton Derbyshire DE12 5JW Tel: 01283 550 000 Fax 0879 963 3650 www.nevesarchitects.co.uk
NOTES: Check all dimensions on site. Confirm all measurements. Report any discrepancies and corrections to Neves Architects. This drawing is Copyright © (c)
Grade I Listed Barn conversion to Holiday Let
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ENGLISH
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4303-pdf
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DEPARTMENT FOR BUSINESS, INNOVATION AND SKILLS 01 OCTOBER 2013 – 31 DECEMBER 2013
GIFTS GIVEN OVER £140
<table>
<thead>
<tr>
<td colspan="4">Secretary of State for Business, Innovation & Skills and President of the Board of Trade, Rt Hon Vincent Cable MP</td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value (over £140)</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td colspan="4">Minister of State, (Universities and Science), Rt Hon David Willetts MP</td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value (over £140)</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td colspan="4">Minister of State (Trade and Investment), Lord Green (01 October - 09 December 2013)</td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value (over £140)</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td colspan="4">Minister of State (Trade and Investment), Lord Livingston (10 December – 31 December 2013)</td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value (over £140)</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td colspan="4">Parliamentary Secretary for Business, Innovation and Skills Parliamentary Under Secretary of State, Viscount Younger</td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value (over £140)</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td colspan="4">Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jo Swinson MP (01 October – 19 December 2013)</td>
</tr><tr><th>Date gift given<th>To<th>Gift<th>Value (over £140)
<tr><td>Nil return<th></th><th></th><th></th><th></th></tr><tr><td colspan="4">Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jenny Willott MP (20 December – 31 December 2013)</th><th>Date gift given<th>To<th>Gift<th>Value (over £140)
<tr><td>Nil return<th></th><th></th><th></th><th></th></tr><tr><td colspan="4">Minister of State for Skills and Enterprise (Skills jointly with the Department for Education), Matthew Hancock MP<th>Date gift given<th>To<th>Gift<th>Value (over £140)
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<tr>< td col span= "6" rowspan= "5" >Minister of State for Business, Innovation & Skills and President of the Board of Trade, Rt Hon Vincent Cable MP<th>Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Minister of State, (Universities and Science), Rt Hon David Willetts MP<th>Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Minister of State (Trade and Investment), Lord Green (01 October - 09 December 2013)< th Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Minister of State (Trade and Investment), Lord Livingston (10 December – 31 December 2013)< th Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Parliamentary Secretary for Business, Innovation and Skills Parliamentary Under Secretary of State, Viscount Younger<th>Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jo Swinson MP (01 October – 19 December 2013)< th Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jenny Willott MP (20 December – 31 December 2013)< th Date gift given<th>To<th>Gift<th>Value (over £140)
< tr < td col span= "6" rowspan= "5" >Minister of State for Skills and Enterprise (Skills jointly with the Department for Education), Matthew Hancock MP<th>Date gift given<th>To<th>Gift<th>Value (over £140)
Nil return
**Minister of State, (Business and Enterprise), Rt Hon Michael Fallon MP**
| Date gift given | To | Gift | Value (over £140) | |---|---|---|---| | Nil return | | | |
**GIFTS RECEIVED OVER £140**
**Secretary of State for Business, Innovation & Skills and President of the Board of Trade, Rt Hon Vincent Cable MP**
| Date gift received | From | Gift | Value | Outcome | |---|---|---|---|---| | Nil return | | | | | | Nil return | | | | |
**Minister of State, (Universities and Science), Rt Hon David Willetts MP**
| Date gift received | From | Gift | Value | Outcome | |---|---|---|---|---| | Nil return | | | | |
**Minister of State (Trade and Investment), Lord Green (01 October - 09 December 2013)**
| Date gift received | From | Gift | Value | Outcome | |---|---|---|---|---| | Nil return | | | | |
**Minister of State (Trade and Investment), Lord Livingston (10 December – 31 December 2013)**
| Date gift received | From | Gift | Value | Outcome | |---|---|---|---|---| | Nil return | | | | |
**Parliamentary Secretary for Business, Innovation and Skills Parliamentary Under Secretary of State, Viscount Younger**
| Date gift received | From | Gift | Value | Outcome | |---|---|---|---|---| | Nil return | | | | |
**Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jo Swinson MP (01 October – 19 December 2013)**
| Date gift received | From | Gift | Value | Outcome | |---|---|---|---|---| | Nil return | | | | |
**Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jenny Willott MP (20 December – 31 December 2013)**
<table>
<thead>
<tr>
<th>Date gift received</th>
<th>From</th>
<th>Gift</th>
<th>Value</th>
<th>Outcome</th>
</tr>
</thead>
<tbody>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
**Minister of State for Skills and Enterprise (Skills jointly with the**
<table>
<thead>
<tr>
<td colspan="5">Department for Education), Matthew Hancock MP</td>
</tr>
<tr>
<td>Date gift received</td>
<td>From</td>
<td>Gift</td>
<td>Value</td>
<td>Outcome</td>
</tr>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="5">Minister of State, (Business and Enterprise), Rt Hon Michael Fallon MP</td>
</tr>
<tr>
<td>Date gift received</td>
<td>From</td>
<td>Gift</td>
<td>Value</td>
<td>Outcome</td>
</tr>
<tr>
<td>Nil return</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
OVERSEAS TRAVEL
<table>
<thead>
<tr>
<td>Date(s) of trip</td>
<td>Destination</td>
<td>Purpose of trip</td>
<td>'Scheduled' or No 32 (The Royal) Squadron' or 'other RAF' or 'Charter' or 'Eurostar'</td>
<td>Number of officials accompanying Minister, where non-scheduled travel is used</td>
<td>Total cost including travel and accommodation of Minister only</td>
</tr>
</thead>
<tbody>
<tr>
<td>10 November - 11 November</td>
<td>Russia, Moscow</td>
<td>To attend trade and industry engagements</td>
<td>Scheduled</td>
<td></td>
<td>£1,137</td>
</tr>
<tr>
<td>06 December</td>
<td>Germany, Frankfurt</td>
<td>To attend meeting with German counterparts and speak at German Economic Forum</td>
<td>Scheduled</td>
<td></td>
<td>£448</td>
</tr>
<tr>
<td>08 December - 13 December</td>
<td>India, Delhi, Coimbatore, Chennai, Bangalore,</td>
<td>To attend trade and industry engagements</td>
<td>Scheduled</td>
<td></td>
<td>£4,752</td>
</tr>
<table border="1">
<thead><tr><th align="left"><strong>Minister of State, (Universities and Science), Rt Hon David Willetts MP<br/>04 October – 06 October<br/>12 October – 17 October<br/>25 October – 27 October<br/></strong></th><th align="left"><strong>Italy, Pisa<br/>To attend the Pontignano Conference<br/>China, Beijing<br/>To highlight the key role science and innovation plays in UK-China relationship<br/>USA, Washington<br/>To attend the Carnegie G8 + 5 Science Meeting<br/></strong></th><th align="left"><strong>Scheduled<br/>Scheduled<br/>Scheduled<br/>Scheduled<br/></strong></th><th align="right"><strong>£487<br/>£6,228<br/>£3,741<br/></strong></th></tr></thead><tbody></tbody></table>
<table>
<thead>
<tr>
<td>19 November – 21 November</td>
<td>Germany, Berlin, Munich</td>
<td>To attend Berlin Open Access Conference</td>
<td>Scheduled</td>
<td>£765</td>
</tr>
<tr>
<td>27 November – 30 November</td>
<td>Kazakhstan, Astana</td>
<td>To attend the 20th Anniversary of the Presidential Bolashak International Scholarship Scheme</td>
<td>Scheduled</td>
<td>£3,242</td>
</tr>
<tr>
<td>01 December – 04 December</td>
<td>China, Beijing, Shanghai, Chengdu</td>
<td></td>
<td>Charter</td>
<td>Costs met by No.10</td>
</tr>
<tr>
<td>10 December – 11 December</td>
<td>Sweden, Stockholm</td>
<td>To attend the Nobel Prizes Banquet and meetings with Deputy Prime Minister of Sweden</td>
<td>Scheduled</td>
<td>£689</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="5"><strong>Minister of State (Trade and Investment), Lord Green (01 October - 09 December 2013)</strong></td>
</tr>
<tr>
<td>01 October</td>
<td>Switzerland, Geneva</td>
<td>To meet with Senior EU Ministers to discuss the WTO conference 2013</td>
<td>Scheduled</td>
<td>£610</td>
</tr>
<tr>
<td>10 October</td>
<td>France, Toulouse</td>
<td>To visit EADS</td>
<td>Scheduled</td>
<td>£668</td>
</tr>
<tr>
<td>12 October – 17 October</td>
<td>China, Beijing and Wuhan</td>
<td>To accompany the Chancellor to promote UK business and meet with Senior Government Ministers</td>
<td>Scheduled</td>
<td>£6,469</td>
</tr>
<tr>
<td>18 October</td>
<td>Luxembourg</td>
<td>To represent the UK at an EU Trade Facilitation meeting</td>
<td>Scheduled</td>
<td>£610</td>
</tr>
<tr>
<td>02 December – 07 December</td>
<td>Indonesia, Bali</td>
<td>To attend and chair the World Trade Organisation Conference 2013</td>
<td>Scheduled</td>
<td>£6,055</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="5"><strong>Minister of State (Trade and Investment), Lord Livingston (10 December – 31 December 2013)</strong></td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="5">Nil return</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="5"><strong>Parliamentary Secretary for Business, Innovation and Skills Parliamentary Under Secretary of State, Viscount Younger</strong></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>17 October – 18 October</td>
<td>Germany, Munich</td>
<td>To attend the European Patent Office's 40th anniversary event.</td>
<td>Scheduled</td>
<td>£960</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="5"></td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="5"><strong><u><u style="color:red;">Note:</u></u></strong></td>
</tr><tr style="border-top: 1px solid black;">
<th colspan="5">The information below has been provided by the Department for Business, Innovation and Skills.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">This document is available on the internet at <u><a href="http://www.parliament.uk/business/committees/committeelist/parliamentary-departmental-committees.htm" target="_blank">http://www.parliament.uk/business/committees/committeelist/parliamentary-departmental-committees.htm </a></u></th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this document please contact: <u><a href="mailto:business@parliament.uk" target="_blank">business@parliament.uk </a></u></th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this department please contact: <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u></th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this committee please contact: <u><a href="mailto:business@parliament.uk" target="_blank">business@parliament.uk </a></u></th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">If you have any comments about this document please email <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">Please note that this document is provided for your personal use only. It may not be reproduced or copied in whole or in part without prior permission from the copyright holder. The copyright holder can be contacted at <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">This document is subject to copyright. You may not reproduce it in any form without permission from the copyright holder. For further details see <u><a href="http://www.parliament.uk/about-us/policies-and-guidance/copyright-and-licensing.htm" target="_blank">http://www.parliament.uk/about-us/policies-and-guidance/copyright-and-licensing.htm </a></u>.</th></tr><tr style="border-top: 1px solid black;">
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<th colspan="5">For more information about this committee please contact: <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">If you have any comments about this document please email <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">Please note that this document is provided for your personal use only. It may not be reproduced or copied in whole or in part without permission from the copyright holder. The copyright holder can be contacted at <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">This document is subject to copyright. You may not reproduce it in any form without permission from the copyright holder. For further details see <u><a href="http://www.parliament.uk/about-us/policies-and-guidance/copyright-and-licensing.htm" target="_blank">http://www.parliament.uk/about-us/policies-and-guidance/copyright-and-licensing.htm </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this document please contact: <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this committee please contact: <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">If you have any comments about this document please email <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">Please note that this document is provided for your personal use only. It may not be reproduced or copied in whole or in part without permission from the copyright holder. The copyright holder can be contacted at <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">This document is subject to copyright. You may not reproduce it in any form without permission from the copyright holder. For further details see <u><a href="http://www.parliament.uk/about-us/policies-and-guidance/copyright-and-licensing.htm" target="_blank">http://www.parliament.uk/about-us/policies-and-guidance/copyright-and-licensing.htm </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this document please contact: <u><a href="mailto:bis@parliament.uk" target="_blank">bis@parliament.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">For more information about this committee please contact: <u><a href="mailto:bis@parlement.uk" target="_blank">bis@parlement.uk </a></u>.</th></tr><tr style="border-top: 1px solid black;">
<th colspan="5">If you have any comments about this document please email <u><a href="" target="_blank"></a>"target="_blank"></u>bis@parlement.uk". Please note that this document is provided for your personal use only. It may not be reproduced or copied in whole or in part without permission from the copyright holder. The copyright holder can be contacted at <u><a href="" target="_blank"></a>"target="_blank"></u>bis@parlement.uk". This document is subject to copyright. You may not reproduce it in any form without permission from the copyright holder. For further details see <u><a href="" target="_blank"></a>"target="_blank"></u>"http://www.parlement.uk/about-us/policies-and-guidance/copyright-and-licensing.htm". For more information about this document please contact: <u><a href="" target="_blank"></a>"target="_blank"></u>bis@parlement.uk". For more information about this committee please contact: <u><a href="" target="_blank"></a>"target="_blank"></u>bis@parlement.uk". If you have any comments about this document please email <u><a href="" target="_blank"></a>"target="_blank"></u>bis@parlement.uk". Please note that this document is provided for your personal use only. It may not be reproduced or copied in whole or in part without permission from the copyright holder. The copyright holder can be contacted at <u><a href="" target="_blank"></a>"target="_blank"></u>bis@parlement.uk". This document is subject to copyright. You may not reproduce it in any form without permission from the copyright holder. For further details see <u><a href="" target="_blank"></a>"target="_blank"></u>"http://www.parlement.uk/about-us/policies-and-guidance/copyright-and-licensing.htm".
October
<table>
<tr>
<td>Anniversary Celebrations</td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="3">Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jo Swinson MP (01 October – 19 December 2013)</td>
</tr>
<tr>
<td>14 October - 15 October</td>
<td>Luxembourg</td>
<td>Meeting of Employment, Social Policy, Health and Consumer Affairs Council</td>
<td>Scheduled</td>
<td>£812</td>
</tr>
<tr>
<td colspan="5">Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jenny Willott MP (20 December – 31 December 2013)</td>
</tr>
<tr>
<td colspan="5">Nil return</td>
</tr>
<tr>
<td colspan="5">Minister of State for Skills and Enterprise (Skills jointly with the Department for Education), Matthew Hancock MP</td>
</tr>
<tr>
<td colspan="5">Nil return</td>
</tr>
<tr>
<td colspan="5">Minister of State, (Business and Enterprise), Rt Hon Michael Fallon MP</td>
</tr>
<tr>
<td>17 October</td>
<td>Belgium, Brussels</td>
<td>To promote the Prime Minister's Business Task Force report on EU Regulation</td>
<td>Scheduled, Eurostar</td>
<td>£500</td>
</tr>
<tr>
<td>23 October</td>
<td>France, Paris</td>
<td>To attend the Friends of Industry Ministerial Conference</td>
<td>Eurostar</td>
<td>£490</td>
</tr>
</table>
HOSPITALITY
<table>
<thead>
<tr>
<th>Date of hospitality</th>
<th>Name of organisation</th>
<th>Type of hospitality received¹</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="3">Secretary of State for Business, Innovation & Skills and President of the Board of Trade, Rt Hon Vincent Cable MP</td>
</tr>
<tr>
<td>16 October</td>
<td>Mentore plc</td>
<td>Dinner</td>
</tr>
<tr>
<td>11 November</td>
<td>Alexander Lebedev, Independent</td>
<td>Dinner</td>
</tr>
<tr>
<td colspan="3">Minister of State, (Universities and Science), Rt Hon David Willetts MP</td>
</tr>
<tr>
<td>07 October</td>
<td>The Times</td>
<td>Lunch</td>
</tr>
<tr>
<td>21 October</td>
<td>John Gill, Times Higher Education</td>
<td>Lunch</td>
</tr>
<tr>
<td>21 October</td>
<td>University of Birmingham</td>
<td>Dinner</td>
</tr>
<tr>
<td>23 October</td>
<td>The Times</td>
<td>Lunch</td>
</tr>
<tr>
<td>24 October</td>
<td>Institute of Education</td>
<td>Dinner</td>
</tr>
<tr>
<td>29 October</td>
<td>Open Data Institute Campaign for Science and Engineering</td>
<td>Dinner</td>
</tr>
<tr>
<td>30 October</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>12 December<br>Astrum Dinner
Minister of State (Trade and Investment), Lord Green (01 October – 09 December 2013)
<table>
<tr>
<td>24 October</td>
<td>Lord Mayor of London</td>
<td>Dinner</td>
</tr>
<tr>
<td>29 October</td>
<td colspan="2">BASE The Chemical Company<br>Dinner</td>
</tr>
<tr>
<td>05 November</td>
<td>KORN/FERRY Whitehead Mann</td>
<td>Lunch</td>
</tr>
<tr>
<td>05 November</td>
<td>Aggreko</td>
<td>Dinner</td>
</tr>
<tr>
<td>11 November</td>
<td>Lord Mayor of London</td>
<td>Dinner</td>
</tr>
<tr>
<td>18 November</td>
<td>Morgan Stanley</td>
<td>Lunch</td>
</tr>
<tr>
<td>18 November</td>
<td>Hong Kong Development Council</td>
<td>Dinner</td>
</tr>
<tr>
<td>25 November</td>
<td>British Chambers of Commerce</td>
<td>Dinner</td>
</tr>
</table>
**Minister of State (Trade and Investment), Lord Livingston (10 December – 31 December 2013)**
<table>
<tr>
<td>11 December</td>
<td>Deloitte</td>
<td>Breakfast</td>
</tr>
<tr>
<td>18 December</td>
<td>BAE Systems</td>
<td>Breakfast</td>
</tr>
<tr>
<td>19 December</td>
<td>Hakluyt & Company</td>
<td>Breakfast</td>
</tr>
</table>
**Parliamentary Secretary for Business, Innovation and Skills**
**Parliamentary Under Secretary of State, Viscout Younger**
<table>
<tr>
<td>02 October</td>
<td>British Recorded Music Industry (BPI)</td>
<td>Tickets to the classic British Awards and dinner</td>
</tr>
</table>
**Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jo Swinson MP (01 October – 19 December 2013)**
<table>
<tr>
<td>17 October</td>
<td>Evening Standard</td>
<td>Lunch</td>
</tr>
<tr>
<td>22 October</td>
<td>BBC Newsnight</td>
<td>Lunch</td>
</tr>
<tr>
<td>05 November</td>
<td>The Spectator</td>
<td>Lunch</td>
</tr>
<tr>
<td>16 October</td>
<td>Mentore plc</td>
<td>Dinner</td>
</tr>
</table>
**Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jenny Willott MP (20 December – 31 December 2013)**
<table style="width:100%">
<tr><th>Nil return</th><th></th><th></th></tr><tr><th colspan="3" style="text-align:left"><strong>Minister of State for Skills and Enterprise (Skills jointly with the Department for Education), Matthew Hancock MP</strong></th></tr><tr><th>24 October</th><th>Publishers Association</th><th>Lunch</th></tr><tr><th>29 October</th><th>Science Museum</th><th>Breakfast</th></tr><tr><th>29 October</th><th>Association of Colleges</th><th>Dinner</th></tr><tr><th>05 November</th><th>Stafford Chamber of Commerce</th><th>Lunch</th></tr><tr><th>12 November</th><th>Lloyds Bank</th><th>Lunch</th></tr><tr><th>18 November</th><th>Arch Apprenticeships</th><th>Breakfast</th></tr><tr><th>03 December</th><th>Idea's Foundation</th><th>Breakfast</th></tr><tr><th>17 December</th><th>Pearson<br>Federation of Small Businesses<br>Lunch<br>Breakfast<br>Lunch<br>Breakfast<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch<br>Lunch"<br>"Indicates if accompanied by spouse/partner or other family member or friend.</br>"
<page_number>19 December Daily Mail, Independent Lunch<page_number>>
Does not normally include attendance at functions hosted by HM Government; 'diplomatic' functions in the UK or abroad, hosted by overseas governments; minor refreshments at meetings, receptions, conferences, and seminars; and offers of hospitality which were declined MEETINGS WITH EXTERNAL ORGANISATIONS
<table>
<thead>
<tr>
<th>Date of Meeting</th>
<th>Name of External Organisation¹</th>
<th>Purpose of Meeting</th>
</tr>
</thead>
<tbody>
<tr>
<td>October 2013</td>
<td>Productiv Ltd</td>
<td>To discuss automotive issues</td>
</tr>
<tr>
<td>October 2013</td>
<td>News UK</td>
<td>To discuss business</td>
</tr>
<tr>
<td>October 2013</td>
<td>Citizens UK</td>
<td>To discuss minimum wage</td>
</tr>
<tr>
<td>October 2013</td>
<td>Lord Mervyn Davies, The Zygos Partnership, Centrica, JCA Group, Editorial Intelligence, Man, Honeyball NLP, The Mentoring Foundation, Andrew Mac Macleod MP, MINE, 30 % Club, MWM Consulting, Egon Zehnder, Confederation of British Industry, Cranfield University</td>
<td>To discuss business environment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Christiane Wullamie</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Reds10</td>
<td>To discuss apprenticeships</td>
</tr>
<tr>
<td>October 2013</td>
<td>Tullow Oil, Anglo American, BG Group, Royal Dutch Shell, Rio Tinto, Polymetal International, Buchanan, Institute of Directors</td>
<td>To discuss resource sector</td>
</tr>
<tr>
<td>October 2013</td>
<td>The Telegraph</td>
<td>General catch up</td>
</tr>
<tr>
<td>October 2013</td>
<td>Nomura International plc, British Sky Broadcasting, BP, Women on Boards, BlackRock, Credit Suisse Securities (Europe), Gold Group International, WM Morrison Supermarkets, The Good Relations Group</td>
<td>To discuss equalities</td>
</tr>
<tr>
<td>October 2013</td>
<td>Exxon Mobil</td>
<td>Regular meeting</td>
</tr>
<tr>
<td>October 2013</td>
<td>Tata Steel</td>
<td>To discuss manufacturing</td>
</tr>
<tr>
<td>October 2013</td>
<td>British Chamber of Commerce</td>
<td>To discuss business</td>
</tr>
<tr>
<td>October 2013</td>
<td>Insolvency victims (x2), Katy Clark MP, Jessica Morden MP, Yvonne Fovargue MP</td>
<td>To discuss insolvency</td>
</tr>
<tr>
<td>October 2013</td>
<td>Waitrose</td>
<td>To discuss business</td>
</tr>
<tr>
<td>October 2013</td>
<td>HSBC</td>
<td>To discuss banking</td>
</tr>
<tr>
<td>October 2013</td>
<td>Financial Conduct Authority, HM Treasury, Federation of Small Businesses, Bully-Banks</td>
<td>To discuss small businesses</td>
</tr>
<tr>
<td>October 2013</td>
<td>Confederation of British Industry Shire</td>
<td>Regular meeting To discuss science</td>
</tr>
<tr>
<td>October 2013</td>
<td>Sir Andrew Large, Oliver Wyman</td>
<td>To discuss small and medium businesses report</td>
</tr>
</tbody>
</table>
¹External organisations that have met with the Secretary of State for Business Innovation & Skills and President of the Board of Trade Rt Hon Vincent Cable MP
<table>
<thead>
<tr>
<td>October 2013</td>
<td>OfCom</td>
<td>To discuss Competition Policy</td>
</tr>
</thead>
<tbody>
<tr>
<td>October 2013</td>
<td>Federation of Small Businesses</td>
<td>Regular meeting</td>
</tr>
<tr>
<td>October 2013</td>
<td>Association of Colleges</td>
<td>Regular meeting</td>
</tr>
<tr>
<td>October 2013</td>
<td>Russell Group</td>
<td>Regular Meeting</td>
</tr>
<tr>
<td>November 2013</td>
<td>EEF The manufacturers' organisation</td>
<td>Regular meeting</td>
</tr>
<tr>
<td>November 2013</td>
<td>Universities UK</td>
<td>Regular meeting</td>
</tr>
<tr>
<td>November 2013</td>
<td>BT, Sky, Talk Talk, Virgin Media, Motion Picture Association of America, BPI – The British Recorded Music Industry</td>
<td>To discuss copyright issues</td>
</tr>
<tr>
<td>November 2013</td>
<td>Federation of Small Businesses, Confederation of British Industry, Business Application Software Developers Association, Sage, GXS, Intuit, Streamline/WorldPay, Go Cardless, Expert Pay, Dun & Bradstreet Equifax, Satsuma, RBS, Barclays, Silicon Valley Bank, Santander, Lloyds Bank, Association of Chartered Certified Accountants, Deloitte, Institute of Credit Management, University of Roehampton, Plymouth University, Institute of Chartered Accountants England and Wales, Cabinet Office, British Business Bank</td>
<td>To discuss late payment consultation</td>
</tr>
<tr>
<td>November 2013</td>
<td>National Union of Students</td>
<td>To discuss student issues</td>
</tr>
<tr>
<td>November 2013</td>
<td>SSI UK</td>
<td>To discuss business</td>
</tr>
<tr>
<td>November 2013</td>
<td>Social Enterprise UK</td>
<td>To discuss social enterprise</td>
</tr>
<tr>
<td>November 2013</td>
<td>Shell</td>
<td>To discuss business</td>
</tr>
<tr>
<td>December 2013</td>
<td>Brunel University</td>
<td>To discuss student access</td>
</tr>
<tr>
<td>December 2013</td>
<td>BBC</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>December 2013</td>
<td>G15</td>
<td>To discuss housing</td>
</tr>
<tr>
<td>December 2013</td>
<td>Barclays</td>
<td>To discuss banking</td>
</tr>
<tr>
<td>December 2013</td>
<td>Independent Care Group</td>
<td>To discuss care providers</td>
</tr>
<table cellspacing="0" border="1">
<thead><tr><th style="text-align:left;">Minister of State,</th><th style="text-align:left;">(Universities and Science), Rt Hon David Willetts MP<br/>October 2013<br/>Queen Mary's University London<br/>October 2013<br/>Medtronic<br/>October 2013<br/>University of Cambridge<br/>October 2013<br/>University of Cambridge, Nuffield College Oxford<br/>October 2013<br/>Institute of Financial Services- School of Finance<br/>October 2013<br/>Rolls Royce<br/></th><th style="text-align:left;">To discuss higher education<br/>To discuss life sciences<br/>To discuss higher education<br/>To discuss social mobility<br/>To discuss higher education<br/>To discuss technology<br/></th></tr></table>
<table cellspacing="0" border="1">
<thead><tr><th style="text-align:left;">October 2013<br/>October 2013<br/>October 2013<br/>November 2013<br/>November 2013<br/>November 2013<br/>November 2013<br/>December 2013<br/>December 2013<br/>December 2013<br/>December 2013<br/>October 2013<br/>October 2013<br/>October 2013<br/>October 2013<br/>October 2013<br/></th><th style="text-align:left;"></th><th style="text-align:left;"></th></tr></thead><tbody><tr><th style="text-align:left;">October
<table>
<thead>
<tr>
<td></td>
<td></td>
<td>and innovation</td>
</tr>
</thead>
<tbody>
<tr>
<td>October 2013</td>
<td>Science Museum Group, Association Science and Discovery Centres</td>
<td>To discuss science and innovation</td>
</tr>
<tr>
<td>October 2013</td>
<td>US Biotechnology Industry Organisation, UK Bio-Industry Association</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>La Salle Investment Management, FTI Consulting</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>Surrey Satellite Technology Ltd</td>
<td>To discuss innovation</td>
</tr>
<tr>
<td>October 2013</td>
<td>Pfizer</td>
<td>To discuss life sciences</td>
</tr>
<tr>
<td>October 2013</td>
<td>Astrium, UKSpace, University of Reading, Reaction Engines, Satellite Applications Catapult, Digital Europe, Open University, London Institute of Space Policy & Law, CGI, Inmarsat, University of Leicester, Avantis</td>
<td>Space Leadership Council</td>
</tr>
<tr>
<td>October 2013</td>
<td>Arup, University of Sheffield, Imperial College, University College London, Helen Hamlyn Centre for Design, Leeds University, Lloyd's Register</td>
<td>To discuss innovation and technology (breakfast provided)</td>
</tr>
<tr>
<td>October 2013</td>
<td>British Academy</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>Royal Economic Society</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>Elsevier</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>Huawei</td>
<td>To discuss innovation and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>University of Manchester</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>University of Edinburgh</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>Royal Society, Royal Institution of British Science Academy</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>October 2013</td>
<td>Higher Education Academy (HEA)</td>
<td>To discuss higher education.</td>
</tr>
<tr>
<td>October 2013</td>
<td>Novartis</td>
<td>To discuss life sciences.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Russell Group Student Loans Company (SLC)</td>
<td>Regular meeting To discuss higher education.</td>
</tr><tr><td></td><td colspan="2">November 2013 Microsoft To discuss innovation and technology<br/>November 2013 Metalysis To discuss innovation<br/>November 2013 Thales UK To discuss cyber security<br/>November 2013 LGC Group To discuss life sciences<br/>November 2013 Syngenta University of Manchester, University of Southampton, The To discuss agri-tech<br/>To discuss higher education.</td></tr></tbody></table>
<table>
<tr>
<td></td>
<td>University of Leeds, De Montfort University of Leicester, Royal Holloway University of London, Loughborough University, King's College London, University of Surrey, Plymouth University, Newcastle University, University of the West of England, University of Cambridge, University of Westminster, University of Leicester, University of Birmingham, BT, Accenture UK, GE Corporate, Microsoft, Telefonica, IBM UK, Tech City UK, Cisco, Intel, e-skills UK, Gareth Cadwallader, The Software Sustainability Institute, Intellect, National Centre for Universities and Businesses, BCS -The Chartered Institute for IT, The Institution of Engineering and Technology, The Association for UK Interactive Entertainment</td>
</tr>
<tr>
<td>November 2013</td>
<td>IBM UK, Logic, Open Data Institute, Cisco, Skyscape Cloud, HP Labs, Tech City UK, Tata Consultancy Services, Go ON UK, Roke Manor Research, Docobo, Monetise, E-skills UK</td>
<td>To discuss information economy</td>
</tr>
<tr>
<td>November 2013</td>
<td>Baxter Healthcare, GE Healthcare, 3M Health Care, Johnson & Johnson Medical Ltd., Association of British Healthcare Industries, British Healthcare Trades Association, Alere, Deltex Medical Group, Smith and Nephew, British In Vitro Diagnostics Association</td>
<td>To discuss life sciences</td>
</tr>
<tr>
<td>November 2013</td>
<td>BT</td>
<td>To discuss cyber security</td>
</tr>
<tr>
<td>November 2013</td>
<td>BT, Thales UK, Qinetiq, Hewlett Packard, BAE Systems Detica, Sophos, Atkins Nexor, Intercede, Titania, ARM, Institute of Electronics Communication and Information Technology, University College London,</td>
<td>To discuss cyber security</td>
</tr>
<tr>
<td>November 2013</td>
<td>techUK</td>
<td></td>
</tr>
<tr>
<td>November 2013</td>
<td>American Council on Education</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>November 2013</td>
<td>Confederation of Business Industry</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>November 2013</td>
<td>EEF The Manufacturers' Organisation</td>
<td>To discuss innovation</td>
</tr>
</table>
<table>
<thead>
<tr>
<td>November 2013</td>
<td>Universities UK</td>
<td>To discuss higher education</td>
</tr>
</thead>
<tbody>
<tr>
<td>November 2013</td>
<td>University of Leicester, University of Nottingham, Queen Mary University of London, Goldsmiths University of London, City University London, University of Salford, Manchester Metropolitan University, University of Reading, Buckinghamshire New University, University of Bath, Staffordshire University, South and City College Birmingham, Cardiff University, University of Bedfordshire, University College London, London Metropolitan University, Plymouth University, Sheffield Hallam University</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>November 2013</td>
<td>University of London</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>November 2013</td>
<td>Virgin Galactic</td>
<td>To discuss space</td>
</tr>
<tr>
<td>November 2013</td>
<td>Open University</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>November 2013</td>
<td>National Institute of Agricultural Botany, Sainsburys, Agriculture and Horticulture Development Board, Scotland's Rural College, Syngenta, PepsiCo, Cargill UK, G's Group, Velcourt Group</td>
<td>To discuss agri-tech</td>
</tr>
<tr>
<td>November 2013</td>
<td>Roche</td>
<td>To discuss life sciences</td>
</tr>
<tr>
<td>November 2013</td>
<td>Eisai</td>
<td>To discuss life sciences</td>
</tr>
<tr>
<td>November 2013</td>
<td>AstraZeneca, Atopix Therapeutics, Oxagen, BioIndustry Association, Association of the British Pharmaceutical Industry, GlaxoSmithKline, MSD UK Limited, Pfizer, Innovative Medicine, Covance, Polyptherics, Oxford Biomedica, Eisai</td>
<td>Ministerial (Bio-Pharmaceutical) Industry Strategy Group</td>
</tr>
<tr>
<td>November 2013 December 2013</td>
<td>University of Oxford Universities UK</td>
<td>To discuss innovation To discuss higher education</td>
</tr>
<tr>
<td>December 2013</td>
<td>Royal Society</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>December 2013</td>
<td>Universities UK</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>December 2013</td>
<td>2020 Health, Wessex Academic Health Science Network, Association of Research Medical Research Charities, Pfizer, University College London, Royal</td>
<td>To discuss life sciences</td>
</tr>
</tbody>
</table>
<table>
<tr>
<td></td>
<td>College of Physicians, Royal College of Surgeons, University of Cambridge</td>
<td></td>
</tr>
<tr>
<td>December 2013</td>
<td>Astrium</td>
<td>To discuss science and innovation</td>
</tr>
<tr>
<td>December 2013</td>
<td>British Bankers Association, Santander, HSBC, Barclays, RBS, Prodigy Finance, Student Funder</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>December 2013</td>
<td>Excalibur</td>
<td>To discuss research</td>
</tr>
<tr>
<td>December 2013</td>
<td>Royal Academy of Engineering</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>December 2013</td>
<td>Thales UK</td>
<td>To discuss cyber security</td>
</tr>
<tr>
<td>December 2013</td>
<td>Reaction Engines</td>
<td>To discuss technology and innovation</td>
</tr>
<tr>
<td>December 2013</td>
<td>Universities and Colleges Admissions Service</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>December 2013</td>
<td>Royal Society, Cardiff University, British Council</td>
<td>To discuss science and research</td>
</tr>
<tr>
<td>December 2013</td>
<td>Pearson</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>December 2013</td>
<td>University of Warwick, Kings College London</td>
<td>To discuss higher education</td>
</tr>
<tr>
<td>December 2013</td>
<td>Royal Society, Royal Institution, British Science Association, Engineering UK, Royal Academy of Engineering, Science Museum Group, National Science Learning Centres, Association for Science & Discovery Centres, Stemettes, National Centre for Universities and Business, Women's Engineering Society, Women in Science & Engineering, Universities Alliance, Universities UK, Association of Colleges, Confederation of British Industry, Engineers Employers Federation, Lady Geek. Stemettes. Science Grrl. BAE Systems. L'Oreal ARUP. BP. King Edward VI Camp Hill School for Girls. Greenford High School. Imperial College London. Seven Hill Group. Tech City UK</td>
<td>To discuss science, technology, maths and engineering in education</td>
</tr>
<tr>
<td>December 2013</td>
<td>American Council on Education, Royal Society, Nature, Universities UK, Royal Geographical Society, Universitry of Cambridge, Figshare, Research Information Network, British Library, Public Library of Science, University of Southampton, University of</td>
<td>To discuss science and research</td>
</tr>
</table>
<table>
<thead>
<tr>
<td></td>
<td>Birmingham, Elsevier</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>December 2013</td>
<td>IBM, Cisco Systems, Arup, Schneider Electric, Siemens, Capgemini, Balfour Beatty, Living PlanIT, Ethos VO, University College London, Imperial College London, University of Surrey, Heniot Watt University, Future Cities Catapult, NESTA</td>
<td>To discuss innovation</td>
</tr>
<tr>
<td>December 2013</td>
<td>AstraZeneca</td>
<td>To discuss life sciences</td>
</tr>
<tr>
<td>December 2013</td>
<td>University of Oxford</td>
<td>To discuss innovation</td>
</tr>
<tr>
<td>Minister of State (Trade and Investment), Lord Green (01 October - 09 December 2013)</td>
<td></td>
<td></td>
</tr>
<tr>
<td>October 2013</td>
<td>CMS Cameron McKenna</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>TMF Group</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>GE UK</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>International Airlines Group</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Petrofac</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>British Chambers of Commerce</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Jacksonville Jaguars</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Vietnam-UK Network</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Africa Matters Limited, All Amber, Anglo American, Barclays, BG Group, Business Council for Africa West & Southern, Caxton Manor, Commonwealth Business Council, Control Risks, DIAGEO, Freightliner Group, GlaxoSmithKline, Helios Investment Partners, International Hospitals Group, Jaguar Land Rover, OsanNimu 3D Branding and Packaging Design, CPMS Nigeria Ltd., PricewaterhouseCoopers, Rio Tinto, Royal African Society, Standard Chartered Bank, TheCityUK,</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>London Business School</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>October 2013</td>
<td>MasterCard</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>October 2013</td>
<td>UK India Business Council</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>October 2013</td>
<td>Founder of Prosprice 21</td>
<td>To discuss trade and investment.</td>
</tr>
</tbody>
</table>
<table>
<tr>
<td>October 2013</td>
<td>Accenture, Goldman Sachs International, Hutchison Whampoa Ltd, Novartis, EDF, Tata, Veolia, Finmeccanica UK, 3M, Cisco, EADS UK, HP Software Services, GE UK</td>
<td>investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>International Chamber of Commerce</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>UBM Pic</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Federation of Small Businesses</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>October 2013</td>
<td>Confederation of British Industry</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>November 2013</td>
<td>China British Business Council</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>November 2013</td>
<td>University of Cambridge</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>November 2013</td>
<td>Nissan Motor Company</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>November 2013</td>
<td>Aggreko, Lord Mayor of London, Santander, Weir Group, Thales, Confederation of British Industry, Arup, GE UK, PriceWaterhouseCoopers, Atkins Global , Euro Commerce, Robertson Robey Associates, Rolls Royce, Tech City, Ernst & Young, Lloyds Bank, Argenta plc</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>November 2013</td>
<td>MWM Consulting</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Chartered Banker</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Centre for European Reform</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>British Chambers of Commerce</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>British Chamber of Commerce Hong Kong</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Institute of Directors</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>China Union Pay</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Centrica</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Chatham House</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>British Chambers of Commerce</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>Bombardier</td>
<td>To discuss trade and investment.</td>
</tr>
<tr>
<td>November 2013</td>
<td>International Chamber of Commerce</td>
<td>To discuss trade and investment.</td>
</tr>
</table>
<table>
<tr>
<td>November 2013</td>
<td>Diageo</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td colspan="3"><strong>Minister of State (Trade and Investment), Lord Livingston (10 December – 31 December 2013)</strong></td>
</tr>
<tr>
<td>December 2013</td>
<td>Jubilee Debt Campaign, Campaign Against Arms Trade, Cube Networks</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>December 2013</td>
<td>Corsair Capital</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>December 2013</td>
<td>Abmec, Acca Global, ADS Group, Alaska Events, Allied China, Amery Capital, Aon Risk Solutions, Babcock International, BAE Systems, Barclays, British Allied Trades Federation, British Experience, British Influence, Burson Marsteller Confederation of British Industry, China-Britain Business Council, Cicero Group, Council of British Chambers of Commerce in Europe, Deltex Medical, Diageo, Dolphin Lifts Midlands, Gambia, George Green, HSBC, Hughes Safety Showers, ICAEW Institute of Directors, JCB, Joy Global, London & Partners, Manufacturing Technologies Association, Mechatherm, National Asian Business Association, Novares, Producers Alliance for Cinema and Television, Prio Clave, Pro Mexico, Raytheon, Royal Bank of Scotland, Reform, Rolls Royce, Sannam S4, Santander, Specac, Starna Scientific, Thales UK, The British Contract Furnishing Association, The Japan Society</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>December 2013</td>
<td>British Business Bank</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td>December 2013</td>
<td>Clayton Dubilier & Rice, Liverpool Vision</td>
<td>To discuss trade and investment</td>
</tr>
<tr>
<td colspan="3"><strong>Parliamentary Secretary for Business, Innovation and Skills Parliamentary Under Secretary of State, Viscount Younger</strong></td>
</tr>
<tr>
<td>October 2013</td>
<td>Business Growth Fund</td>
<td>To discuss Intellectual Property Office</td>
</tr>
<tr>
<td>November 2013</td>
<td>PostcodeAnywhere</td>
<td>To discuss SME support</td>
</tr>
<tr>
<td>November 2013</td>
<td>BBC, ActionAid, Channel 4</td>
<td>To discuss copyright exceptions</td>
</tr>
<tr>
<td>November 2013</td>
<td>TechUK, Which?</td>
<td>To discuss copyright exceptions</td>
</tr>
<tr>
<td>November 2013</td>
<td>Premier League</td>
<td>To discuss copyright designs and</td>
</tr>
</table>
<table>
<tr>
<td>December 2013</td>
<td>Wellcome Trust, British Library, Strategic Content Alliance (JISC)</td>
<td>Patents Act 1988<br>To discuss copyright reforms exceptions</td>
</tr>
<tr>
<td>December 2013</td>
<td>The Libraries and Archives Copyright and Digital Literacy, The Libraries and Archives Copyright Alliance</td>
<td>To discuss proposed reforms to copyright exceptions</td>
</tr>
<tr>
<td>December 2013</td>
<td>Federation Against Software Theft (FAST)</td>
<td>To discuss intellectual property</td>
</tr>
<tr>
<td>December 2013</td>
<td>ITV, BBC, Channel 4, Channel 5, Sky</td>
<td>To discuss copyright reforms</td>
</tr>
<tr>
<td>December 2013</td>
<td>Anti Copying in Design, Crewroom, Elizabeth Gage</td>
<td>To discuss design reforms</td>
</tr>
<tr>
<td colspan="3">Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jo Swinson MP (01 October – 19 December 2013)</td>
</tr>
<tr>
<td>October 2013</td>
<td>Gok Wan</td>
<td>To discuss body confidence</td>
</tr>
<tr>
<td>October 2013</td>
<td>John Timpson</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>October 2013</td>
<td>Colt, Cable and Wireless Communications, British Sky Broadcasting, Pearson, Reed Elsevier, WPP, TelecityGroup, Pace, BT, Technicolor, Dell, Intellect, Institute of Directors</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October 2013</td>
<td>Association of Teachers and Lecturers, Platform 51, Girlguiding UK, Lady Geek,Little Miss Geek, Fatherhood Institute. Education and Employers Taskforce, Dr. Maggie Aderin-Pocock, Mumsnet</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October 2013</td>
<td>Women's Sport and Fitness Foundation, B-eat! All Walks Beyond the Catwalk, Viv Groskop, Pearl & Dean, AnyBody, Sport England, Girl Guiding UK, YMCA, Goldsmiths University of London</td>
<td>To discuss body confidence</td>
</tr>
<tr>
<td>October 2013</td>
<td>TrustMark</td>
<td>To discuss consumer policy</td>
</tr>
<tr>
<td>October 2013</td>
<td>Marie-Claire</td>
<td>General catch up</td>
</tr>
<tr>
<td>October 2013</td>
<td>Trades Union Congress</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>October 2013</td>
<td>Confederation of British Industry</td>
<td>To discuss competition and employment policy</td>
</tr>
<tr>
<td>October 2013</td>
<td>National Enterprise Network, Wiltshire Council, Wessex Brigade, Army Families Federation, Recruit for Spouses, Waves Training Solutions</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October 2013</td>
<td>Lord Mervyn Davies, The Zygos Partnership, Centrica, JCA Group, Editorial Intelligence, Mary Honeyball MEP, The Mentoring Foundation, Aviva, Mary Macleod</td>
<td>To discuss business environment</td>
</tr>
</table>
<table>
<tr>
<td></td>
<td>MP, MITIE, 30% Club, MWM Consulting, Egon Zehnder, Confederation of British Industry, Cranfield University</td>
<td></td>
</tr>
<tr>
<td>October 2013</td>
<td>Publish What You Pay, Global Witness Transparency International, Eric Joyce MP</td>
<td>To discuss corporate governance</td>
</tr>
<tr>
<td>October 2013</td>
<td>Women's Room, Everyday Sexism Project, Laurie Penny, mkaan, Tomorrow's Girls, Equality Now, End Violence Against Women Coalition</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October 2013</td>
<td>Nomura International, British Sky Broadcasting, BP, Women on Boards, BlackRock, Credit Suisse Securities (Europe), Gold Group International, WM Morrison Supermarkets, The Good Relations Group</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October 2013</td>
<td>The Times</td>
<td>General catch up</td>
</tr>
<tr>
<td>October 2013</td>
<td>CMS Cameron McKenna, Bond Dickinson, Simmons & Simmons, Michelmores, Slater & Gordon, Matthew Arnold & Baldwin, Browne Jacobson, Squire Sanders (UK), DMH Stallard, Vodafone, Virgin Media, Addleshaw Goddard, Eversheds, Pinsent Masons, Freshfields Bruckhaus Deringer, Which?, SJ Berwin</td>
<td>To discuss consumer policy</td>
</tr>
<tr>
<td>October 2013</td>
<td>Nicky Morgan MP + Constituent</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>October 2013</td>
<td>Recruitment and Employment Federation</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>October 2013</td>
<td>British Retail Consortium</td>
<td>To discuss consumer policy</td>
</tr>
<tr>
<td>October 2013</td>
<td>Engineering Employers' Federation</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>October 2013</td>
<td>Kerry McCarthy MP, Equity</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>October 2013</td>
<td>Insolvency victims (x2), Katy Clark MP, Jessica Morden MP, Yvonne Fovargue MP</td>
<td>To discuss insolvency</td>
</tr>
<tr>
<td>October 2013</td>
<td>UK Feminista</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October</td>
<td>Relate, Gingerbread, One Plus One, Grandparents Plus, Family Lives, Coram, Adfam, 4Children, Family Action, Homestart, Tavistock Centre for Couples Relationships, Working Families, Family and Childcare Trust,</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></th>
<th>Family Room<br>Bloomberg News<br></th>
<th>To discuss employment relations (breakfast included)<hr/>General catch up</th>
</tr>
</table>
<table>
<tr>
<td>October 2013</td>
<td>Travis Perkins, InterContinental Hotel Group, WM Morrison, J Sainsbury, Greggs, PayPoint, Tesco, British Retail consortium</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>October 2013</td>
<td>Stonewall, Educational Action Challenging Homophobia, Diversity Role Model, Personal Social and Health Education, National Union of Teachers, Ofsted Catholic Education Service, Jenna Fidal, Children's Commissioner, National Association of Head Teachers, Church of England</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>November 2013</td>
<td>Moneybox</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>November 2013</td>
<td>Greg Mulholland MP, Pub Tenants (x8)</td>
<td>To discuss competition</td>
</tr>
<tr>
<td>November 2013</td>
<td>National Federation of SubPostmasters</td>
<td>To discuss Post Office</td>
</tr>
<tr>
<td>November 2013</td>
<td>UKFast</td>
<td>To discuss employment relations</td>
</tr>
<tr>
<td>November 2013</td>
<td>Lesbian and Gay Foundation</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>November 2013</td>
<td>Lady Hermon MP, National Federation of SubPostmasters</td>
<td>To discuss Post Office</td>
</tr>
<tr>
<td>November 2013</td>
<td>Which?, Financial Ombudsman Service, Ombudsman Service, Property Ombudsman, Trading Standards Institute, Shop Direct, Home Retail Group, Thomas Cook</td>
<td>To discuss consumer policy</td>
</tr>
<tr>
<td>November 2013</td>
<td>Trading Standards Institute, Yodel, Citizens Advice Scotland, Ebay, Federation of Small Businesses, Tesco, Shop Direct, British Retail Consortium, Consumer Futures, Office of Fair Trading, AJG Parcels, Royal Mail, Society of Chief Trading Standards Officers in Scotland, Interactive Media in Retail Group, MetaPack, Robert Smith MP</td>
<td>To discuss consumer policy</td>
</tr>
<tr>
<td>December 2013</td>
<td>Hines & Co, Vince Cable MP + constituent</td>
<td>To discuss insolvency</td>
</tr>
<tr>
<td>December 2013</td>
<td>National Union of Students, Young Minds, Sex Education Forum, Personal Social Health Education Association, Brook, Body Gossip, National Association of Head Teachers, Plymouth University, Association of School and College Leaders, Beat, Aberystwyth University</td>
<td>To discuss body confidence</td>
</tr>
<tr>
<td>December 2013</td>
<td>Shell, British Petroleumum, British Gas, University of Exeter, Oil &</td>
<td>To discuss corporate governance</td>
</tr>
</table>
<table>
<tr>
<td></td>
<td>Gas UK, Mineral Products Association, Publish What You Pay, Eric Joyce MP, Global Witness, Revenue Watch Institute, ExxonMobil, University of Oxford</td>
<td></td>
</tr>
<tr>
<td>December 2013</td>
<td>Peter Luff MP, ScienceGrrl</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>December 2013</td>
<td>Daily Telegraph</td>
<td>General catch up</td>
</tr>
<tr>
<td>December 2013</td>
<td>Tesco, John Lewis, Marks & Spencer, As Seen On Screen (ASOS), Asda, Hobbs, British Retail Consortium</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>December 2013</td>
<td>Post Office Limited</td>
<td>To discuss Post Office</td>
</tr>
<tr>
<td>December 2013</td>
<td>Oxfam, National Best Women's Network, Women's Resource Centre, National Black Women's Network, End Violence Against Women, Trades Union Congress, Abounding Solutions, Sparkhill Asian Women's Association, Muslim Women Network, Latin American Women's Rights Service</td>
<td>To discuss equality</td>
</tr>
<tr>
<td>December 2013</td>
<td>Trade Union Congress</td>
<td>To discuss employment law</td>
</tr>
<tr>
<td>December 2013</td>
<td>Financial Reporting Council</td>
<td>To discuss corporate governance</td>
</tr>
</table>
**Parliamentary Under Secretary of State, (Employment Relations, Consumer Affairs), Jenny Willott MP (20 December – 31 December 2013)**
**Minister of State for Skills and Enterprise (Skills jointly with the Department for Education), Matthew Hancock MP**
<table>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>October 2013</td>
<td>Confederation of British Industry</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>National Skills Academy for Nuclear</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Construction Industry Training Board</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>University of Cambridge, Nuffield College University of Oxford</td>
<td>To discuss social mobility</td>
</tr>
<tr>
<td>October 2013</td>
<td>Langton Girls Grammar School, Elearning Foundation, British Computer Society, Carphone Warehouse, Tablets for Schools, NAACA, Blenheim Chalcot, European Electronique, Google, Microsoft, Samsung, Toshiba , Dixons, Agilisys</td>
<td>To discuss education</td>
</tr>
<tr>
<td>October 2013</td>
<td>Universities and Colleges Union</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Greene King</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Instructus</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Federation for Industry Sector Skills and Standards</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Careers Sector Stakeholder Alliance</td>
<td>To discuss career</td>
</tr>
</table>
<table>
<tr>
<td>October 2013</td>
<td>Blenheim Chalcot</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Federation of Small Businesses</td>
<td>To discuss enterprise</td>
</tr>
<tr>
<td>October 2013</td>
<td>Blenheim Chalcot, Jisc, TEN Group, Open University, London Knowledge Lab, Federation of Awarding Bodies, Learn Direct, Education and Training Foundation, Guardian Media Group, Association of Colleges, Assessment and Qualifications Alliance, City & Guilds, Toshiba, OCR, EdMix, Association of Employment and Learning Providers, 157 Group, Association for Learning Technology, Home Learning College, Hackney Community College, Tinder Foundation Digital Business Britain, Towards Maturity, Institute for Learning Network</td>
<td>To discuss education</td>
</tr>
<tr>
<td>October 2013</td>
<td>Apprenticeship Ambassadors Network</td>
<td>To discuss apprenticeships</td>
</tr>
<tr>
<td>October 2013</td>
<td>HSBC</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>October 2013</td>
<td>Sorrell Foundation</td>
<td>To discuss education</td>
</tr>
<tr>
<td>November 2013</td>
<td>Middlesbrough College, Harrow College, New College Telford, Hartlepool Sixth Form College, South Devon College, Goole College, Bedford College, Leeds City College, Association of Colleges</td>
<td>To discuss further education</td>
</tr>
<tr>
<td>November 2013</td>
<td>3M</td>
<td>To discuss government relationships</td>
</tr>
<tr>
<td>November 2013</td>
<td>Institute of Economic Affairs,</td>
<td>To discuss Youth Unemployment</td>
</tr>
<tr>
<td>November 2013</td>
<td>millionJobs</td>
<td></td>
</tr>
<tr>
<td>November 2013</td>
<td>Institute of Credit Management</td>
<td>To discuss small business</td>
</tr>
<tr>
<td>November 2013</td>
<td>Ernst and Young</td>
<td>To discuss education</td>
</tr>
<tr>
<td>November 2013</td>
<td>Tech City</td>
<td>To discuss small business</td>
</tr>
<tr>
<td>November 2013</td>
<td>Unifrog</td>
<td>To discuss careers</td>
</tr>
<tr>
<td>November 2013</td>
<td>Federation of Small Businesses,</td>
<td>To discuss small business</td>
</tr>
<tr>
<td></td>
<td>Forum of Private Business,</td>
<td></td>
</tr>
<tr>
<td></td>
<td>Confederation of British Industry,</td>
<td></td>
</tr>
<tr>
<td></td>
<td>Business Application Software Developers Association, Sage,</td><th rowspan="2"></th></tr><tr><th colspan="2">GXS, Intuit, Streamline/WorldPay,</th></tr><tr><th colspan="2">GoCardless, Experian, Dunn & Bradstreet, Equifax, Satago, RBS,</th><th></th></tr><tr><th colspan="2">Barclays, Silicon Valley Bank,</th><th></th></tr><tr><th colspan="2">Santander, Lloyds Bank,</th><th></th></tr><tr><th colspan="2">Association of Chartered Certified Accountants, University of</th><th></th></tr></table>
<table>
<tr>
<td></td>
<td>Rochampton, Plymouth University, ICAEW, Asset Based Finance Association, Business Information Providers Association</td>
</tr>
<tr>
<td>November 2013</td>
<td>Marks and Spencer, Accenture, BAE Systems, Barclays, Centrica, Diageo, GlaxoSmithKline, HSBC, Kingfisher, Tesco; Unilever, The Prince's Trust; BT</td>
</tr>
<tr>
<td>December 2013</td>
<td>National Skills Academy for Nuclear</td>
</tr>
<tr>
<td>December 2013</td>
<td>OCR</td>
</tr>
<tr>
<td>December 2013</td>
<td>Daily Mail</td>
</tr>
<tr>
<td>December 2013</td>
<td>Centre for Economic and Social Inclusion, CITB Construction Skills, The Pearson Think Tank, SALAMI project, Association of Teachers and Lecturers, MillionJobs, Centre for Enterprise, Federation for Industry Sector Skills & Standards, Centre for Cities, Association of Colleges, Policy Exchange, National Foundation for Education Research, Westminster Business School, New Local Government Network, Full Fact, Which?, Unifrog, IES, Gatsby Foundation, OCR</td>
</tr>
<tr>
<td>December 2013</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>December 2013</td>
<td>Skillsset, University Vocational Awards Council, Association of Colleges, Association of Learning Providers, Institute for Learning, Sector Skills, Federation of Small Businesses, University and College Union, Tertiary Colleges Group, Microsoft, Business Design Centre, 157 Group</td>
</tr>
<tr>
<td>December 2013</td>
<td>To discuss skills</td>
</tr>
<tr>
<td></td>
<td>Association of Colleges, Sixth Form Colleges' Association, Grammar School Heads Association, for Freedom and Autonomy for Schools – National Association, Special Educational Consortium, Association of National Specialist Colleges, 157 Group, Association of Employment and Learning Providers, Independent Schools Council, Confederation of British Industry, The Association of Directors of Children's Services, Universities UK, Association of School and College Leaders,</td>
</tr>
</table>
Landex, Catholic Education Service, National Society for Promoting Religious Education, International Baccalaureate Schools and Colleges Association, Federation of Small Businesses, Local Government Association.
December 2013 Entrepreneur First
To discuss small business
December 2013 MyBigCareer
To discuss skills
December 2013 Plotr.
To discuss skills
December 2013 HME Tech
To discuss skills
December 2013 Association of Employment and Learning Providers
To discuss skills
December 2013 Sunday Times
To discuss skills
December 2013 BAE Systems, Airbus, Rolls Royce, SEMTA, Jaguar Land Rover, Toyota, BMW, EEF - The Manufacturers Organisation, The Society of Motor Manufacturers & Traders, JCB, SimplyBiz, Cogent SSC, GlaxoSmithKline, Royal Society of Chemistry, British Computer Society, BT, Capgemini, e-skills, Institution of Engineering and Technology, SJD Electrical, Food and Drink Federation, National Skills Academy for Food and Drink, Univer, Institution of Mechanical Engineers, Energy and Utility Skills, The Gatsby Foundation, Trades Union Congress, Association of Colleges, Association of Employment and Learning Providers, Hoile Associates, Institute of Civil Engineering, Engineering Council, Institution of Chemical Engineers, The Institution of Engineering and Technology, Northumbrian Water, National Grid, E.On
To discuss skills
December 2013 University of Law
To discuss skills
December 2013 The Telegraph
To discuss skills
December 2013 Hermes Fund Managers, RailPen, Church of England pension fund, NEST, Mercer, Hymans, Prudential, Legal & General Investment Management, Wellcome Trust, Lansdowne, Invesco Perpetual, Deutsche Bank, The Association of British Insurers, Investment Management
To discuss investment
<table>
<tr>
<td></td>
<td>Association, The Financial Reporting Council, The London Stock Exchange, British Venture Capital Association</td>
<td>To discuss skills</td>
</tr>
<tr>
<td>December 2013</td>
<td>Siemens</td>
<td></td>
</tr>
<tr>
<td>Minister of State, (Business and Enterprise), Rt Hon Michael Fallon MP</td>
<td></td>
<td></td>
</tr>
<tr>
<td>October 2013</td>
<td>British Bankers Association</td>
<td>To discuss small and medium enterprises</td>
</tr>
<tr>
<td>October 2013</td>
<td>London School of Economics and Political Science, What Works Centre for Local Growth</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>October 2013</td>
<td>Electronic Systems Community Council</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>October 2013</td>
<td>JCB</td>
<td>To discuss strategic relationship management</td>
</tr>
<tr>
<td>October 2013</td>
<td>The Scottish Trades Union Congress, Unite the Union</td>
<td>To discuss chemical manufacturing</td>
</tr>
<tr>
<td>October 2013</td>
<td>Electronic Systems Community Council, Plastic Logic, Imagination Technologies, Allran, Siemens, Emerson Process Management, Group of Associations of Manufacturers of British Instrumentation, Control and Automation, Intellect, National Microelectronics Institute, United Kingdoms Electronics Alliance, ARM, Plastic Logic, Imagination Technologies</td>
<td>To discuss cross-sector growth issues</td>
</tr>
<tr>
<td>October 2013</td>
<td>Ford Motor Company</td>
<td>To discuss manufacturing</td>
</tr>
<tr>
<td>November 2013<br>November 2013</td>
<td>Green Investment Bank<br>Johnson Matthey</td>
<td>To discuss banking<br>To discuss chemicals sector</td>
</tr>
<tr>
<td>November 2013</td>
<td>Contract Chemicals, Chemical Industries Association, Huntsman, Synthomer, European Chemical Industry Council (CEFIC), Dow, Thomas Swan and Company, Croda, Verband der Chemischen Industrie e.V., Solvay, Growhow, Ineos, BASF</td>
<td>To discuss chemical industries</td>
</tr>
<tr>
<td>November 2013</td>
<td>VP Strategic Marketing, Finmeccanica,, GE Aviation, Airbus, Safran Messier Bugatti Dowty, UTAS Motor Drive Systems, Bombardier Aerospace, Rolls-Royce, Unite the Union,</td>
<td>To discuss aerospace</td>
</tr>
<tr>
<td>November 2013</td>
<td>Lafarge Tarmac</td>
<td>To discuss construction</td>
</tr>
<tr>
<td>December 2013</td>
<td>Solent Maritime Forum, British Marine Federation</td>
<td>To discuss aerospace</td>
</tr>
<tr>
<td>December 2013</td>
<td>Mahindra</td>
<td>To discuss Regional</td>
</tr>
</table>
<table>
<tr>
<td>December 2013</td>
<td>British Retail Consortium</td>
<td>Growth Fund<br>To discuss retail</td>
</tr>
</table>
*Does not normally include meetings with Government bodies such as other Government Departments and Agencies, non-departmental public bodies, Government reviewers, and representatives of Parliament, devolved or foreign governments.*
|
ENGLISH
|
3456-pdf
|
Planning Committee – Planning Items 9 October 2015
Page 1
**6. ASSESSMENT UNDER THE HABITAT REGULATIONS: OLD MOOR QUARRY, WORMHILL (JEN)**
**APPLICANT: LAFARGE TARMAC**
**Proposal: Habitat Regulations Assessment in relation to ROMP application**
**Site and Surroundings**
Old Moor Quarry is part of a wider site incorporating both Tunstead Quarry and Old Moor Quarry. Tunstead is located entirely outside the National Park and thus comes under the planning control of Derbyshire County Council. Old Moor is predominantly located in the National Park. (with a very small area in Derbyshire County Council). A plan of the site showing the National Park boundary is enclosed.
Both Tunstead and Old Moor are undergoing the necessary processes to enable the relevant planning authorities to determine modern working conditions. The Old Moor Review Of Old Mineral Permission scheme will be considered by a forthcoming planning committee and is registered as NP/HPK/1013/0898.
**RECOMMENDATION:**
That this report, including annex 1, be adopted as the Authority's Habitat Regulations Assessment in relation to the determination of modern working conditions under the Review of Old Mineral Permissions process at Old Moor Quarry.
It is determined that continued Mineral Working is unlikely to have a significant effect on the integrity of the Peak District Dales SAC. Thus continued quarrying is not considered to be contrary to the provisions of Regulation 61 of the Conservation of Habitats and Species Regulations 2010 and the EU Habitats Directive and an Appropriate Assessment is not considered necessary.
**Key Issues**
The UK is bound by the terms of the Habitats Directive (92/43/EEC). Under Article 6(3) of the Habitats Directive, an appropriate assessment is required where a plan or project is likely to have a significant effect upon a European Site, either individually or in combination with other projects in view of the European Site's conservation objectives. The Directive is implemented in the UK by the Conservation of Habitats and Species Regulations 2010 (as amended) (the Habitats Regulations).
It has been identified that Peak District Dales Special Area for Conservation (SAC) (which therefore falls within the definition of a 'European Site') could be affected by continued quarrying at Tunstead/Old Moor Quarry so it is necessary to consider the significance of these effects.
**Assessment**
**The Habitat Regulation Assessment Process**
The Habitat Regulation Assessment (HRA) process involves several stages:
Stage 1 – Likely Significant Effect Test Stage 2 – Appropriate Assessment Planning Committee – Planning Items 9 October 2015
\<page_number>Page 2\</page_number>
Stages 3 & 4 – Assessment of Alternative Solutions and Imperative Reasons of Overriding Public Interest Test.
Stage 1: This is essentially a risk assessment utilising existing data, records and specialist knowledge. This stage identifies the likely impacts of a project upon a European Site and considers whether the impacts are likely to be significant. The purpose of the test is to screen in or screen out whether a full Appropriate Assessment is required. Where likely significant effects cannot be excluded, assessing them in more detail through an appropriate assessment is required to reach a conclusion as to whether an adverse effect on the integrity of the site can be ruled out.
Stage 2: This is the appropriate assessment and this involves consideration of the impacts on the integrity of the European Site with regard to the conservation site’s structure and function and its conservation objectives. Where there are adverse effects an assessment of mitigation options is carried out. Where mitigation cannot avoid any adverse effect or cannot mitigate it to the extent that it is no longer significant then development consent can only be given if an assessment of alternative solutions is successfully carried out or the Imperative Reasons of Overriding Public Interest (IROPi) test is satisfied.
Stage 3&4: If a project will have a significant adverse effect and this cannot be either avoided or mitigated, the project cannot go ahead unless it passes the IROPi test. In order to pass the test, it must be objectively concluded that no alternative solutions exist. The project must be referred to the Secretary of State on the grounds that there are Imperative Reasons of Overriding Public Interest as to why the project must proceed. Potential compensatory measures needed to maintain the overall coherence of the site or integrity of the European Site network must also be considered.
Impact Pathways
The SAC covers approximately 2,326ha and comprises a number of constituent Sites of Scientific Interest (SSSIs). It lies to the south and east of Old Moor Quarry.
The special conservation objectives of the SAC are appended to this report. (Annex 2)
In the pre-application stage two potential pathways of impact on the SAC were identified, these being hydrology and dust.
Hydrology
Changes in groundwater and/or surface water supply to sensitive plant communities such as alkaline flushes through drying or changes to water supply to springs and seepages can lead to the loss of particularly sensitive species or wholesale changes in community type.
Changes in groundwater could also lead to reduced water supply to the rivers, which if significant could affect white clawed crayfish, bullhead or river lamprey.
A principal objective was agreed between Natural England, Environment Agency, Derbyshire County Council and the National Park Authority for the applicant to develop and test a conceptual model of groundwater movement to evaluate the magnitude and significance of risks to the hydrological environment in the locality and the design of mitigation measures.
Natural England confirmed a number of sensitive wetland features to consider in the assessment and the only relevant qualifying feature to be identified was Alkaline Fens, as none of the other qualifying habitats were identified as sensitive to hydrological impacts. Planning Committee – Planning Items 9 October 2015
Page 3
The detailed hydrological and hydrogeological investigations which have been carried out by the applicant (set out at annex 1) have shown that it is very unlikely that there will be any adverse effect on the groundwater or surface water resources of the area from the continuing quarrying and related operations at Tunstead and Old Moor, and thus it is unlikely that there will be adverse effect on the sensitive features identified by Natural England within the SAC.
Dust
Dust will be generated during soil stripping operations, blasting, excavating, and transporting mineral and during restoration following quarrying.
Effects from dust arise when it is deposited on surfaces and deposition of large amounts of dust can affect vegetation in two ways: physical smothering leading to a reduction in growth through restricting light on leaves and also restricting transpiration of water off the leaves and chemical induced changes on the above parts of plants or changes to the pH and/or nutrient status of the soil.
Potential dust impacts were raised as requiring consideration without reference to the SAC as a sensitive receptor. Dust is not considered to be a key environmental consideration for the features for which the SAC is designated and the Dust Risk Assessment in the EIA, which is reiterated in the applicant’s assessment of likely significant effects (set out in annex 1) is adequate for these purposes.
The dust assessment in the EIA demonstrates that significant dust deposition impacts are unlikely from continued working at Tunstead and Old Moor, and that industry best practice measures will be followed to minimise dust creation and to suppress any dust that is generated. It concludes that no likely significant effect due to dust is expected on the features for which the SAC is designated.
Conclusion
It is concluded at Stage 1 of the HRA, that the investigation which has taken place are adequate and demonstrate that continued quarrying as proposed by the Review of Old Mineral Permissions scheme is unlikely to have a significant effect on the integrity of the Peak District Dates SAC. Thus continued quarrying is not considered to be contrary to the provisions of Regulation 61 of the Conservation of Habitats and Species Regulations 2010 and the EU Habitats Directive and an Appropriate Assessment is not considered necessary.
Human Rights
Any human rights issues have been considered and addressed in the preparation of this report.
List of Background Papers (not previously published)
Nil
|
ENGLISH
|
1523-pdf
|
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
LIN HOMER, CHIEF EXECUTIVE
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>31/01/13</td>
<td>Worthing</td>
<td>Office Visit</td>
<td>£60.57</td>
<td></td>
<td></td>
<td></td>
<td>£60.57</td>
</tr>
<tr>
<td>06/02/13</td>
<td>Exeter, Barnstable and</td>
<td>Office Visit</td>
<td>£91.21</td>
<td>£76.31</td>
<td>£74.00</td>
<td></td>
<td>£241.52</td>
</tr>
<tr>
<td>11/03/13</td>
<td>Glasgow</td>
<td>Office Visit</td>
<td>£216.11</td>
<td></td>
<td></td>
<td></td>
<td>£216.11</td>
</tr>
<tr>
<td>12/03/13</td>
<td>London - Board Lunch Meeting</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td>£8.49</td>
</tr>
<tr>
<td>14/03/2013</td>
<td>Oxford Conference</td>
<td></td>
<td>£49.37</td>
<td></td>
<td>£80.00</td>
<td></td>
<td>£129.37</td>
</tr>
<tr>
<td>18/03/13</td>
<td>Sheffield and Chester Office Visit</td>
<td></td>
<td>£139.77</td>
<td></td>
<td></td>
<td></td>
<td>£139.77</td>
</tr>
<tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></td></tr><tr><td colspan="8"></td><td></ td/></table>
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
EDWARD TROUP, TAX ASSURANCE COMMISSIONER
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="2">TRAVEL</th>
<th>Accommodation/ Meals</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>14/03/13</td>
<td>Oxford</td>
<td>Inter-governmental meeting</td>
<td></td>
<td></td>
<td>£75.00</td>
<td></td>
<td>£75.00</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></ td<td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td > 68
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="2">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>15/01/13 - 16/01/13</td>
<td>Lillyhall</td>
<td>Office Visit</td>
<td>£81.72</td>
<td></td>
<td>£76.78</td>
<td>£83.60</td>
<td></td>
<td>£242.10</td>
</tr>
<tr>
<td>22/01/13 - 23/01/13</td>
<td>Nottingham</td>
<td>Staff Event</td>
<td>£56.50</td>
<td></td>
<td>£4.50</td>
<td>£58.00</td>
<td></td>
<td>£141.00</td>
</tr>
<tr>
<td>29/01/13 - 30/01/13</td>
<td>Oxford</td>
<td>Civil Service Business</td>
<td>£43.11</td>
<td></td>
<td>£44.00</td>
<td></td>
<td></td>
<td>£87.11</td>
</tr>
<tr>
<td>31/01/13</td>
<td>Telford</td>
<td>Staff Event</td>
<td>£32.50</td>
<td>£10.00</td>
<td>£45.30</td>
<td></td>
<td></td>
<td>£87.80</td>
</tr>
<tr>
<td>04/02/2013</td>
<td>London</td>
<td>Conference</td>
<td></td>
<td>£15.00</td>
<td></td>
<td></td>
<td></td><td>£15.00</td>
</tr>
<tr>
<td>06/02/2013 - 07/02/13</td>
<td>Plymouth</td>
<td>Office Visit</td>
<td>£68.97</td>
<td></td><td>£89.00</td><td></td><td></td><td>E157.97</td>
</tr><tr><td rowspan="2">21/02/13<br>27/02/13<br>07/03/13<br>08/03/13<br>12/03/13 - 13/03/13<br>15/03/13<br>21/03/13<br>Coventry<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>Plymouth<br>PlyouthmouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrPymouthbrCoventry<tfoot>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES</th><th>DESTINATION</th><th colspan="4">TRAVEL:</th><th colspan="2">OTHER (including hospitality given)</th><th>Total Cost</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><th style="text-align: right;">Total Cost (excluding VAT)</th><th style="text-align: right;">Total Cost (including VAT)</th><tbody>
<tr>
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f5;">
<th>DATES:</table>
<table cellspacing="none">
<tr style="background-color: #f5f5f
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
<table>
<thead>
<tr>
<td colspan="8">JIM HARRA, DIRECTOR GENERAL BUSINESS TAX</td>
</tr>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td>OTHER (including hospitality given)</td>
<td>Total Cost</td>
</tr>
</thead>
<tbody>
<tr>
<td>28/01/13</td>
<td>Coventry</td>
<td>Staff Event</td>
<td>£60.38</td>
<td></td>
<td>£2.80</td>
<td></td>
<td></td>
<td>£63.18</td>
</tr>
<tr>
<td>30/01/2013</td>
<td>Wolverhampton</td>
<td>Office Visit</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>£72.99</td>
</tr>
<tr>
<td>19/02/2013</td>
<td>Harwich</td>
<td>Office Visit</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>£18.67</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></ td>< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ td >< td> </ TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > < TD > <TD
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend.
<table>
<thead>
<tr>
<td colspan="7">JENNIE GRANGER, DIRECTOR GENERAL ENFORCEMENT & COMPLIANCE</td>
</tr>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td>TRAVEL<br>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td>OTHER<br>(including hospitality)</td>
<td>Total Cost</td>
</tr>
</thead>
<tbody>
<tr>
<td>8th-9th Jan 2013</td>
<td>Coventry</td>
<td>Office Visit</td>
<td>$67.54</td>
<td>$7.80</td>
<td>$72.50</td>
<td></td>
<td></td>
<td>$147.84</td>
</tr>
<tr>
<td>21st Jan 2013</td>
<td>Leeds</td>
<td>Office Visit</td>
<td>$79.78</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>$79.78</td>
</tr>
<tr>
<td>29th - 30th Jan 2013</td>
<td>Cardiff</td>
<td>Office Visit</td>
<td>$75.30</td>
<td>$13.60</td>
<td></td>
<td>$73.50</td>
<td></td>
<td>$169.40</td>
</tr>
<tr>
<td>1st Feb 2013</td>
<td>Ebbsfleet</td>
<td>Office Visit</td>
<td>$24.97</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>$24.97</td>
</tr>
<tr>
<td>21st Feb 2013</td>
<td>Manchester</td>
<td>Team Meeting</td>
<td>$146.39</td>
<td>$6.00</td>
<td>$66.00</td>
<td></td>
<td></td>
<td>$218.39</td>
</tr>
<tr>
<td>6th March 2013</td>
<td>Crawley</td>
<td>Conference</td>
<td>$16.90</td>
<td></td>
<td></td>
<td></td>
<td></td><td>$16.90</td>
</tr>
<tr>
<td>8th March 2013</td>
<td>Telford</td>
<td>Conference</td><td>$130.22</td><td></td><td></td><td></td><td></ td><td>$130.22 </td></tr><tr><td>27th March 2013</td><td>Bournemouth</td><td>Office Visit</td><td>$40.98</td><td></td><td></td><td></td><td></ td><td>$40.98 </table>
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend.
<table>
<thead>
<tr>
<th>NICK LODGE, DIRECTOR GENERAL BENEFITS AND CREDITS</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (including hospitality given)</td>
<td>Total Cost</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>10/01/13-11/01/13</td>
<td>Preston</td>
<td>Meeting</td>
<td>-</td>
<td>-</td>
<td>£20.25</td>
<td>-</td>
<td>£97.49</td>
<td>£117.74</td>
</tr>
<tr>
<td>16/01/13-17/01/13</td>
<td>Preston</td>
<td>Meeting</td>
<td>-</td>
<td>-</td>
<td>£126.34</td>
<td>-</td>
<td>£89.75</td>
<td>£236.39</td>
</tr>
<tr>
<td>07/02/13-08/02/13</td>
<td>Belfast</td>
<td>Office Visit</td>
<td>£89.08</td>
<td>-</td>
<td>£30.05</td>
<td>£31.65</td>
<td>£93.60</td>
<td>£244.38</td>
</tr>
<tr>
<td>12/03/13-13/03/13</td>
<td>Preston</td>
<td>Staff Event</td>
<td>-</td>
<td>-</td>
<td>£148.65</td>
<td>£22.70</td>
<td>£83.65</td>
<td>£255.00</td>
</tr>
<tr>
<td>19/03/13-20/03/13</td>
<td>Manchester/Preston</td>
<td>Meeting</td>
<td>-</td>
<td>-</td>
<td>£27.95</td>
<td>-</td>
<td>£84.70</td>
<td>£112.65</td>
</tr>
<tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></td></tr><tr><td colspan="9"></ td></table>
<img>A table showing HM Revenue & Customs Business Expenses from 1 January 2013 to 31 March 2013.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/>TRAVEL<br/>Air<br/>Rail<br/>Taxi/Car/<br/>Other<br/>Accommodation/<br/>Meals<br/>OTHER (including<br/>hospitality given)<br/>Total Cost<br/></th>
<th>Air<br/>Rail<br/>Taxi/Car/<br/>Other<br/>Accommodation/<br/>Meals<br/>OTHER (including<br/>hospitality given)<br/></th>
<th>Total Cost<br/></th>
</tr>
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<th>Air<br/>Rail<br/>Taxi/Car/<br/>Other<br/>Accommodation/<br/>Meals<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<th>Total Cost<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/></th>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align:center;">
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="4">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>No longer in Post</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
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<table><thead><tr><th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/Other</th><th>Accommodation/Meals</th><th>OTHER (including hospitality given)</th><th>Total Cost</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>TRAVEL</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</th><th>PHIL PAVITT CIO AND DIRECTOR GENERAL OF CHANGE</than/></thead><tbody><tr class='header_bottom_margin'><td colspan='16'></table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>DATES<br/>DESTINATION<br/>PURPOSE<br/>Air<br/>Rail<br/>Taxi/Car/Other<br/>Accommodation/Meals<br/>OTHER (including<br/>hospitality given)<br/>Total Cost<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>No longer in Post<br/>
<th colspan="5" style="text-align: center;">TRAVEL
<th colspan="5" style="text-align: center;">OTHER (including hospitality given)
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style="text-align: center;">Total Cost
<th colspan="5" style=""><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></table>
<table border=1 cellspacing=0 cellpadding=0 width=100% height=100% align=center>
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<table border=1 cellspacing=0 cellpadding=
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend.
MIKE FALVEY, CHIEF PEOPLE OFFICER
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td>OTHER (including hospitality given)</td>
</tr>
</thead>
<tbody>
<tr>
<td>04/03/13</td>
<td>Bootle</td>
<td>Meeting</td>
<td>$66.44</td>
<td>$23.50</td>
<td></td>
<td></td>
<td>$89.94</td>
</tr>
<tr>
<td>15/03/13</td>
<td>Lincoln</td>
<td>Conference</td>
<td>$67.17</td>
<td>$8.00</td>
<td></td>
<td></td>
<td>$75.17</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
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<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></ td>< td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td > 04/03/13 Bootle Meeting $66.44 $23.50 $89.94 </br>&nb
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
<table>
<thead>
<tr>
<td colspan="7">ANTHONY INGLESE, GENERAL COUNSEL AND SOLICITOR</td>
</tr>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (including hospitality given)</td>
<td>Total Cost</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>21/01/13</td>
<td>Leeds</td>
<td>Departmental Business</td>
<td>£88.02</td>
<td></td>
<td></td>
<td></td>
<td>£88.02</td>
</tr>
<tr>
<td>22/01/13</td>
<td>Ipswich</td>
<td>Departmental Business</td>
<td>£47.77</td>
<td></td>
<td></td>
<td></td>
<td>£47.77</td>
</tr>
<tr>
<td>18/02/2013</td>
<td>Dorking</td>
<td>Speaking Engagement</td>
<td>£24.97</td>
<td></td>
<td></td>
<td></td>
<td>£24.97</td>
</tr>
<tr>
<td>01/03/13</td>
<td>Lincoln</td>
<td>Speaking Engagement</td>
<td>£36.13</td>
<td></td>
<td></td>
<td></td>
<td>£36.13</td>
</tr>
<tr><td colspan="8"></td></tr>
<tr><td colspan="8"></td></tr>
<tr><td colspan="8"></td></tr>
<tr><td colspan="8"></td></tr>
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<tr><th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/Other</th><th>Accommodation/Meals</th><th>Total Cost</th></tr>
<table style='width:100%; border-collapse:collapse;'>
<thead style='border-bottom: 1px solid black;'>
<tr style='text-align:center;'>
<th>DATES<br>(YYYY/MM/DD)</th><th>DESTINATION<br>(City)</th><th>PURPOSE<br>(Description)</th><th>AIR<br>(Cost)</th><th>RAIL<br>(Cost)</th><th>TAXI/CAR/O<br>(Cost)</th><th>MEALS<br>(Cost)</th><th>TOTAL<br>(Cost)</th><!--(Total Cost)-->
</tr><!--(Header Row)-->
</thead><!--(Table Header)-->
<tbody style='border-top: 1px solid black;'>
<tr style='text-align:center;'>
<th>DATES<br>(YYYY/MM/DD)</th><th>DESTINATION<br>(City)</th><th>PURPOSE<br>(Description)</th><th>AIR<br>(Cost)</th><th>RAIL<br>(Cost)</th><th>TAXI/CAR/O<br>(Cost)</th><th>MEALS<br>(Cost)</th><!--(Total Cost)-->
</tr><!--(Header Row)-->
<tr style='text-align:center;'>
<th>21/01/13</th><th>Leeds</th><th>Departmental Business</th><th>£88.02</th><th> </th><th> </th><th> </th><!--(Total Cost)-->
</tr><!--(Header Row)-->
<tr style='text-align:center;'>
<th>22/01/13</th><th>Ipswich</th><th>Departmental Business</th><th>£47.77</th><th> </th><th> </th><thal> </thal><!--(Total Cost)-->
</tr><!--(Header Row)-->
<tr style='text-align:center;'>
<th>18/02/2013</th><th>Dorking</th><th>Speaking Engagement</th><thal> </thal><!--(Total Cost)-->
</tr><!--(Header Row)-->
<tr style='text-align:center;'>
<th>01/03/13</th><thal> </thal><!--(Total Cost)-->
</tr><!--(Header Row)-->
</tbody><!--(Table Body)-->
<tfoot style='border-top: 1px solid black;'>
<tr style='text-align:right;'>
<thal> </thal><!--(Total Cost)-->
</tr><!--(Footer Row)-->
</tfoot><!--(Table Footer)-->
<!--(Table Body)-->
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
SIMON BOWLES, CHIEF FINANCE OFFICER
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
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<td></td><
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
IAN BARLOW, NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
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</tr><tr><th colspan="8"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan='5' style='text-align:right;'>Total Cost</than td colspan '6'></table>
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
Phil Hodkinson, NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>08/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£6.42</td>
<td>£6.42</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></ td<td> </ td>< td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td > 08/01/2013</TD > 08/01/2013
<td>London</TD > London
<td>HMRC Board</TD > HMRC Board
<td>Air</TD > Air
<td>Rail</TD > Rail
<td>Taxi/Car/ Other</TD > Taxi/Car/ Other
<td>Accommodation/ Meals</TD > Accommodation/ Meals
<td>Total Cost</TD > Total Cost
<td>£6.42</TD > £6.42
</tbody>
</table>
<img>A table showing travel expenses for Phil Hodkinson.</img>
<table>
<thead>
<tr>
<th>DATES</th>
<th>PURPOSE</th>
<th>AIR</th>
<th>RAIL</th>
<th>TAXI/CAR/OTHER</th>
<th>METERS ACCOMMODATION/MEALS</th>
<th>HOSPITALITY GIVEN (IF ANY)</th>
<th>TOTAL COST (£)</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="5" style="text-align:center;">08/01/2013<br>LONDON<br>HMRC BOARD<br>AIR<br>RAIL<br>TAXI/CAR/OTHER<br>METERS ACCOMMODATION/MEALS<br>HOSPITALITY GIVEN (IF ANY)<br>TOTAL COST (£)</TD >
<td rowspan="5" style="text-align:center;">£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42<br>£6.42...
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend.
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="2">TRAVEL</th>
<th>Accommodation/ Meals</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>08/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£6.42</td>
<td>£6.42</td>
</tr>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£4.95</td>
<td>£11.35</td>
</tr>
<tr>
<td>10/03/2013</td>
<td>London/Glasgow</td>
<td>HMRC Board £73.38</td>
<td></td>
<td></td>
<td></td>
<td>£79.00</td>
<td>£163.73</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow/London</td>
<td>HMRC Board £73.38</td>
<td></td>
<td></td>
<td></td>
<td>£108.90</td>
<td>£346.01</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td>£354.50</td>
</tr>
<tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></td></tr><tr><td colspan="8"></ td></table>
Volker Beckers, NON-EXECUTIVE DIRECTOR HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
**Norman Pickavance, NON-EXECUTIVE DIRECTOR**
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="2">TRAVEL</th>
<th colspan="2">OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>08/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>E6.42</td>
<td></td>
<td>E6.42</td>
</tr>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>E4.93</td>
<td></td>
<td>E11.35</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board</td>
<td><strong>£168.97</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>£180.32</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td><strong>£97.70</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>£278.02</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td><strong>£8.49</strong></td>
<td></td>
<td><strong>£286.51</strong></td>
</tr>
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HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
COLIN COBAIN - NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>08/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£6.42</td>
<td>6.42</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board</td>
<td>£178.75</td>
<td></td>
<td></td>
<td></td>
<td>£185.17</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td>£193.66</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></ td>< td> </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < td > </ td < / tr >
<tr><th colspan="8"><strong>Total Cost:</strong> £193.66</th></tr>
</tbody>
</table>
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
John Whiting, NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£4.93</td>
<td>£4.93</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board</td>
<td>£70.58</td>
<td></td>
<td></td>
<td></td>
<td>£75.51</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td>£84.00</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></ td td colspan="2"></table>
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
Edwina Dunn, NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="2">TRAVEL</th>
<th colspan="2">OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>08/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£6.42</td>
<td></td>
<td>£6.42</td>
</tr>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£4.93</td>
<td></td>
<td>£11.35</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board £178.75</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>£190.10</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td></td>
<td>£198.59</td>
</tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></td><td></td></tr>
<tr><td colspan="8"></ td>< td/></tr>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th>Air</th>
<th>Rail</th>
<th>Taxi/Car/ Other</th>
<th>Accommodation/ Meals</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
</thead>
<tbody style="text-align: center;">
<tr style="text-align: center;">
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HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
Paul Smith, NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£4.93</td>
<td>£4.93</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
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<table><tr><th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/Other</th><th>Accommodation/Meals</th><th>OTHER (including hospitality given)</th><th>Total Cost</th><th>Description of expenditure (please provide details of all expenses incurred)</th><th>Amount (inclusive of VAT at 20%)</th><th>VAT (at 20%)</th><th>Total Amount (inclusive of VAT)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ Please refer to the HMRC website for guidance on how to make a claim ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☐ I am unable to make a claim due to the nature of my work role ☐ Other reason (please specify below)</th><th>Is this an expense claim? ☐ Yes ☐ No ☐ Not applicable ☐ Other reason (please specify below) ☒ I am unable to make a claim due to the nature of my work role 🚫 Other reason (please specify below)</table>
<table><tr><th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/Other</th><th>Accommodation/Meals</th><th>OTHER (including hospitality given)</th><th>Total Cost</th><table><thead><tr><<th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/Other</th><th>Accommodation/Meals</th><th>OTHER (including hospitality given)</th><th>Total Cost</table>
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<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | OTHER | |---|---|---|---|---| | 23/01/2013 | London | HMRC Board | Air | Rail | Taxi/Car/Other | Accommodation/Meals | £4.93 | £4.93 |
<!-- TABLE -->
| DATES | DESTINATION | PURPOSE | TRAVEL | <watermark>HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013 Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend Paul Smith, NON-EXECUTIVE DIRECTOR DATES DESTINATION PURPOSE TRAVEL OTHER Total Cost 23/01/2013 London HMRC Board Air Rail Taxi/Car/Other Accommodation/Meals £4.93 £4.93 Description of expenditure (please provide details of all expenses incurred) Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expense claim? Is this an expenseclaim?</watermark> HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
<table>
<thead>
<tr>
<td colspan="7">Leslie Ferrar, NON-EXECUTIVE DIRECTOR</td>
</tr>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>Total Cost</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td>OTHER (including hospitality given)</td>
</tr>
</thead>
<tbody>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£4.93</td>
<td>£4.93</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board</td>
<td colspan="2">£178.75</td>
<td></td>
<td></td>
<td>£183.68</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td>£192.17</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
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<tr><td></td><td></td><td></td><td></ td>< td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td> </ td> < td > 0.00
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
<table>
<thead>
<tr>
<td colspan="7">Janet Williams, NON-EXECUTIVE DIRECTOR</td>
</tr>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>Total Cost</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/Other</td>
<td>Accommodation/Meals</td>
<td>OTHER (including hospitality given)</td>
</tr>
</thead>
<tbody>
<tr>
<td>23/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£4.93</td>
<td>£4.93</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board</td>
<td>£178.75</td>
<td></td>
<td></td>
<td></td>
<td>£183.68</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></ td>< td> </ td> < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td > < td > </ td >
</tbody>
</table>
HM Revenue & Customs Business Expenses: 1 January 2013 - 31 March 2013
Please note: these figures may not include some costs that have yet to be invoiced and will be updated to reflect any additional spend
PHILIPPA HIRD, NON-EXECUTIVE DIRECTOR
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (including hospitality given)</th>
<th>Total Cost</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car/ Other</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>08/01/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£6.42</td>
<td>£6.42</td>
</tr>
<tr>
<td>11/03/2013</td>
<td>Glasgow</td>
<td>HMRC Board</td>
<td>£178.75</td>
<td></td>
<td></td>
<td></td>
<td>£185.17</td>
</tr>
<tr>
<td>12/03/2013</td>
<td>London</td>
<td>HMRC Board</td>
<td></td>
<td></td>
<td></td>
<td>£8.49</td>
<td>£193.66</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></ td td colspan="3"></tr><tr><th colspan="8"></th></tr>
<tr><th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/ Other</th><th>Accommodation/ Meals</th><th>OTHER (including hospitality given)</th><th>Total Cost</th></tr>
<tr id="row_0"><th>08/01/2013</th><th>London</th><th>HMRC Board</th><th colspan="2"></th><th colspan="2">£6.42</th><th colspan="2">£6.42</th></tr>
<tr id="row_1"><th>11/03/2013</th><th>Glasgow</th><th>HMRC Board</th><th colspan="2">£178.75</th><th colspan="2"></th><th colspan="2">£185.17</th></tr>
<tr id="row_2"><th>12/03/2013</th><th>London</th><th>HMRC Board</th><th colspan="2"></th><th colspan="2">£8.49</th><th colspan="2">£193.66</th></tr>
<tr id="row_3"><th>DATES</th><th>DESTINATION</th><th>PURPOSE</th><th>Air</th><th>Rail</th><th>Taxi/Car/ Other</th><th>Accommodation/ Meals</th><th>OTHER (including hospitality given)</th><th>Total Cost</th></tr>
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2143-pdf
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<img>A The National Archives logo</img> The National Archives
# Information Management Assessment
Department for Environment, Food and Rural Affairs
Reviewed September 2017
Published July 2018
<watermark>Working with government to raise standards in information management</watermark>
# Contents
| Section | Page | |------------------------------------------------------------------------|------| | Background | 2 | | Executive summary | 2 | | Good practice and key highlights | 4 | | Recommendations to address risk areas | 5 | | Key findings of the assessment | 6 | | Annex A – Recommendations in full | 13 |
© Crown copyright 2018
<img>OGL logo</img>
You may use and re-use the information featured in this report (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence v3.0.
Any enquiries regarding the use and re-use of this information resource should be sent to psi@nationalarchives.gsi.gov.uk
\<page_number>1\</page_number> **Background**
- The first Information Management Assessment (IMA) of the Department for Environment, Food and Rural Affairs (Defra) was held in 2011 and was formally closed in October 2013. The IMA reassessment involved a detailed review of supporting documentation and interviews with senior staff, specialists and practitioners. These were held in the department’s offices in London and Alnwick between 4 and 12 September 2017. Additional interviews with key staff were conducted by telephone later in the month.
- This report provides a summary of the good practice and risks we identified, focussing on the most significant findings.
- We recommend that permanent secretaries/chief executive officers publish a statement of commitment to our assessment process that also underlines the importance of good practice in information and records management. Defra plans to promote and publicise the statement of commitment that was shared with The National Archives before the IMA to support creation and delivery of its IMA action plan.
**Executive summary**
- There are 10 performance headings embedded in this IMA report. Defra receives a Satisfactory rating under six headings. A Satisfactory rating indicates an approach that is positioned to support efficiency, effectiveness and compliance with legal obligations and responsibilities.
- Defra receives a medium priority Development area rating under the report’s remaining four headings. A Development area rating indicates a key issue or gap in process or governance that may trigger a range of risks.
- Positive approaches and key improvements made since the last IMA are included in the key highlights summary below on page 4.
**Ratings received ranked by priority**
<table>
<thead>
<tr>
<th>Performance rating: Development area</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Priority</td>
<td>Medium</td>
</tr>
<tr>
<td>Report section</td>
<td>1.1 Communicating and realising value (page 6)</td>
</tr>
<tr>
<td></td>
<td>1.2 Managing information as an asset (page 7)</td>
</tr>
<tr>
<td></td>
<td>2.2 Digital continuity and IT change (page 9)</td>
</tr>
<tr>
<td></td>
<td>3.1 Recognising information risk (page 9)</td>
</tr>
</tbody>
</table>
To improve performance under these headings Defra needs to:
- Ensure strategic priority is attached to driving and maintaining a supportive information management culture in addition to the provision of an enabling
\<page_number>2\</page_number> Office 365 environment. Active engagement and sustained top down support from senior management is needed to ensure the importance of good practice is recognised and to provide impetus for behaviour change.
- Strengthen current processes for information asset governance to ensure effective assurance is being obtained.
- Build on the foundations provided by Defra’s previous digital continuity project and ensure that key vulnerabilities of digital information relating to age and format are identified so they can be addressed.
- Ensure that risks related to information and records management are formally identified and recorded on risk registers. This includes assessing the impact if key information is not available as needed or usable. Defra needs to state clearly how the burden of mitigation for these risks is distributed between Knowledge and Information Management (KIM) and IT and the business areas responsible for implementing corporate policy. Defra should also ensure that information management related risks are covered by its information risk policy.
**Performance Rating: Satisfactory**
<table>
<thead>
<tr>
<th>Priority:</th>
<th>Low</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Report section</strong></td>
<td>2.1 Supporting information through technology (page 7)</td>
</tr>
<tr>
<td></td>
<td>3.2 Establishing control (page 10)</td>
</tr>
<tr>
<td></td>
<td>3.3 Providing guidance (page 10)</td>
</tr>
<tr>
<td></td>
<td>3.4 Measuring impact (page 11)</td>
</tr>
<tr>
<td></td>
<td>4.1 Oversight of records and selection (page 11)</td>
</tr>
<tr>
<td></td>
<td>4.2 Implementing disposal decisions (page 12)</td>
</tr>
</tbody>
</table>
To maintain performance under these headings, Defra needs to:
- Identify how a good practice KIM service will be delivered from the centre and supported through use of devolved networks as Defra embeds SharePoint 2013 and moves to introduce the Office 365 environment.
- Ensure policy and supporting guidance are kept up-to-date and promoted (including through induction) as the IT environment develops and evolves. Retention schedules should be published on GOV.UK.
- Identify how information management practice will be monitored and reported to drive improvements now that SharePoint 2013 is in place.
\<page_number>3\</page_number>
- Continue to engage with The National Archives and cross-government initiatives to ensure 20-year rule commitments can be met and the department is well placed to begin its first digital transfers.(^1)
IMA reports and departmental action plans are published on The National Archives’ website at: nationalarchives.gov.uk/information-management/our-services/ima-reports-action-plans.htm
**Good practice and key highlights**
The following are among the areas of good practice identified at the time of the IMA. They include approaches that other government organisations may find helpful in mitigating information and records management related risks:
- Business engagement and partnering was a significant component of the SharePoint 2013 build and deployment, which was delivered by a small team. Defra carried out content analysis of shared drive folders, holding design workshops and providing training. Project principles were established, but Defra worked to adopt a flexible approach that recognises specific user needs, including restricting access to sensitive information. Ongoing support has been provided to business areas that have encountered issues with new file structures, with scrutiny of take-up and use of team sites delivered through a cross-department review.
- Defra has collected monthly reports on Exchange Server volumes, and used these to identify those staff with the largest inboxes and offer support. It has now identified owners of legacy .pst files and plans to engage with them to ensure record content is captured prior to the move to Office 365.
- KIM have moved into the Digital Data and Technology Service directorate. Following this, the Data Asset workstream moved into KIM. This new governance structure has the potential to support and enable a more formal, joined-up and holistic approach to the protection, management and exploitation of information and data.
- The Local Information Champions (LIC) role was set up to support preparations for the move to SharePoint 2013 and the effective use of team sites once the system was in place. Defra has now begun work on an LIC engagement plan to ensure consistent messaging and is working to develop and embed an LIC community. It has consulted with LICS via a survey to gauge views and identify how the role could be improved and used more effectively. It is also introducing a new LIC newsletter to highlight news and events, with reminders and tips intended to help make the role easier to carry out.
- Each function in a directorate is being encouraged to provide a description on its team site. The example we viewed was comprehensive and was being actively updated. Completion and maintenance of function pages was identified as an enabler for future digital appraisal, as well as for current knowledge management.
- Processes for appraisal and selection of paper records are well organised and managed. Defra adopts a good-practice macro-appraisal approach that looks at file
(^1) http://www.nationalarchives.gov.uk/about/our-role/plans-policies-performance-and-projects/our-projects/20-year-rule/
\<page_number>4\</page_number> series with records sifted by title based on this. The review team is drawing on a range of evidence including past decisions to standardise selection decisions.
- Defra has adopted a proactive approach to trialling software to help interrogate the 9TB of legacy digital information from its shared drives that is held on its servers. It conducted a trial to assess the e-Discovery capabilities of The National Archives’ Digital Records Object Identification (DROID) file profiling tool, identifying a number of quick wins. It also worked with the Better Information for Better Government programme to trial potential e-Discovery solutions, contributing to government understanding of good practice options. Following on from this, Defra is looking into alternative tools used by other IMA programme members.
**Recommendations to address risk areas**
Full details including suggested supporting actions are in Annex A (see page 13).
<table>
<thead>
<tr>
<th>Recommendation</th>
<th>To address a medium-priority development area rating</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>1</strong></td>
<td>Bring information and records management practice within scope of KIM vision statements and establish a plan to develop and maintain the right information management culture. Active and visible support of senior management is needed to help deliver change.</td>
</tr>
<tr>
<td><strong>2</strong></td>
<td>Deliver greater support and challenge to Information Asset Owners, ensuring key threats are surfaced consistently. This report places particular emphasis on those related to lifecycle management and digital continuity.</td>
</tr>
<tr>
<td><strong>3</strong></td>
<td>Identify digital continuity priorities to ensure the usability of digital information and embed these in KIM planning.</td>
</tr>
<tr>
<td><strong>4</strong></td>
<td>Define the risk to the department and wider Defra Group of a failure to manage information and records effectively, and a failure to ensure digital information remains usable. Mitigating actions and monitoring mechanisms should be established.</td>
</tr>
<tr>
<td colspan="2"><strong>To maintain a satisfactory rating</strong></td>
</tr>
<tr>
<td><strong>5</strong></td>
<td>Maintain the priority currently attached by Office 365 plans to information management and information assurance, ensuring opportunities to embed good practice approaches are taken.</td>
</tr>
<tr>
<td><strong>6</strong></td>
<td>Continue promoting information and records management policy and supporting guidance. This should be reviewed before the introduction of Office 365 to ensure an effective mandate is established for teams and individuals.</td>
</tr>
<tr>
<td><strong>7</strong></td>
<td>Build on the positive start made through team site reviews and establish a new performance monitoring model that can be developed and embedded over the long term.</td>
</tr>
<tr>
<td><strong>8</strong></td>
<td>Maintain the priority currently attached to meeting the requirements of the 20-year rule transition period.</td>
</tr>
</tbody>
</table>
\<page_number>5\</page_number> Key findings of the assessment
**1 The value of information**
**Key developments since closure of Defra's last IMA:**
- The November 2013 Defra Network Knowledge Strategy has closed. This was published and promoted internally, but no formal implementation plan was produced. A new set of interlinked visions for Knowledge and Information Management (KIM) has been circulated to the six agencies and non-departmental public bodies due to move to Office 365 with core Defra.
- Defra participated in a series of Information Asset Owner (IAO) training workshops run by The National Archives in September and December 2014 for a total of 39 staff.
<table>
<thead>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
</thead>
<tbody>
<tr>
<td>1.1 Communicating and realising value</td>
<td>Development area</td>
<td>Medium</td>
</tr>
</tbody>
</table>
- The staggered roll-out of SharePoint 2013 On Premise has provided an opportunity to engage individual business areas on the subject of information and records management as new team sites were being set up. However, with the exception of specific steers provided by managers in teams with particular drivers for good practice, such as threat of audit, the staff we spoke to did not recognise any accompanying top-down steer on the importance of information and records management. Visible leadership is needed to help promote the message that information and records management is a key part of staff’s day-to-day role and not an optional addition to it. Defra should formally appoint a senior information and records management champion to support key communications and help promote consistent understanding. Defra should also consider factoring information management into assurance statements provided by senior staff as other IMA programme members such as the Foreign and Commonwealth Office have done.
- The annual personal commitment statement was mentioned as one means by which Defra established the importance of information management. While it is positive that information capture is mentioned in this document, the subject could, in our view, be given considerably more emphasis than the current two lines. The document should be updated to provide a more meaningful steer on information management responsibilities, and to reflect the introduction of SharePoint 2013.
- Defra’s ambitious set of interlinked user, business and KIM visions for 2018 and beyond recognises the need to respond to changes in the way people work across the departmental Group. Achievement of the visions is positioned as an enabler for greater efficiency and improved ways of working. However, the visions have not been explicitly aligned with current Defra Group strategic objectives and priorities. Defra should address this and ensure the visions are embedded in Digital, Data and Technology Services (DDTS) planning following the KIM team’s
\<page_number>6\</page_number> move into the directorate (see page10). The relationship with the separate vision established by the Office 365 adoption strategy should also be clarified.
- We note in particular that the KIM and Office 365 adoption strategy visions place no emphasis on the role that information and records management practice will play in ensuring effective utilisation of the Office 365 environment. Defra must address this and make a clear statement on how it will enable improved behaviours and drive business ownership of good practice. Senior support for this work is needed to drive business engagement. See recommendation 1
| Performance heading | Performance rating | Priority | |---|---|---| | **1.2 Managing information as an asset** | Development area | Medium |
- Defra’s information asset governance approach extends beyond personal data to give some proportionate coverage to unstructured information including sensitive policy documentation and legal advice. No department-specific guidance has been established to set out how Defra’s information assets should be managed, protected and exploited. Processes around handover of the IAO role appeared relatively informal, with IAOs rather than the central team expected to brief their successor on requirements of the role.
- Processes for risk assessing and reporting on information assets would benefit from more structure. The information asset register itself contains 24 fields, which is a relatively high number. Those for lifecycle management and digital continuity did not appear to be interpreted or completed consistently by IAOs. Clear requirements need to be identified in both cases. Defra could be doing more to support and challenge IAOs. See recommendation 2
## 2 Digital information and supporting technology
### Key developments since closure of Defra’s last IMA:
- SharePoint 2013 was rolled out to the core department through a formal Electronic Document Records Management System (EDRMS) project, which ended in April 2017. This aimed to introduce a single shared corporate repository that reduced technical barriers to good practice. Access to legacy material from Defra’s shared drives and SharePoint 2007 that was not migrated has been restricted.
- A digital continuity strategy implementation plan was developed prior to closure of the department’s digital continuity project in 2015. A project closure report was produced.
| Performance heading | Performance rating | Priority | |---|---|---| | **2.1 Supporting information through technology** | Satisfactory | Low |
\<page_number>7\</page_number>
- EDRMS project goals included automating metadata capture and restricting the number of content types to reduce the burden on users. It aimed to increase the availability of information, a potential benefit recognised by a number of the staff we spoke to. Routine digital disposal will be a new step for the department and continued focus will be needed to ensure document libraries are set up and used correctly as it works to embed use of SharePoint.
- Defra imposes a limit of 1GB on personal drive storage and has a standard email quota of 200MB. These are intended to discourage staff from storing information with value outside shared repositories and help drive disposal of ephemeral material. This policy is not being adhered to, and the number of staff with mailboxes over 2GB in size grew from 26 in June 2015 to 132 in July 2017, while nearly one in five staff now has a mailbox over 1GB in size. Defra has invested in third-party software to make it easier to capture emails in team sites. This, though, is not likely to drive effective mailbox management by itself. At the same time, there is a continuing risk that email of value may be lost if staff are using the Vault email archive, which has an activated three-year retention policy, as a means of freeing up space in their inbox. Although this is against policy, a number of interviewees indicated they were doing this, in some cases routinely.
- Defra is in the process of defining options for migration of Vault contents as part of the move to Office 365 and introduction of Exchange Online. The decision taken must factor in the likelihood that information with value will be held in Vault and take a risk-based approach to ensuring its capture.
- Email management was covered in SharePoint training. Defra has provided support to some of those identified as holding the highest volumes of email and has been working to address the issues of orphaned shared mailboxes. It should now take the opportunity offered by the introduction of Office 365 to review its approach to restricting personal storage in overall terms. It should ensure that proportionate enforceable controls are in place to cover key current and potential risk areas such as OneDrive use. This should be done in conjunction with work to improve behaviours rather than in isolation, and storage levels should continue to be monitored. It should consider putting in place a project to address email archiving, email management, the proliferation of shared mailboxes and records capture. Within the IMA programme, the work conducted by organisations including the Welsh Government and HM Treasury may provide a helpful template for this.
- Defra recognises the move to Office 365 as an enabler for the adoption of more efficient and effective working practices, and better sharing of information. However, the core department faces a significant challenge in rolling out the service to its own staff and the other six organisations within the Defra Group that are due to adopt it. It needs to balance its own requirements with differing approaches to information management and policies that have existed to date, including identifying common principles and permitted variations in areas such as content types and retention. Defra will need to ensure that information assurance and information management requirements do not get lost in the midst of what will be a large-scale change piece. It should seek to re-use work already conducted for the SharePoint 2013 roll-out to help minimise business impact and ensure continued engagement. See recommendation 5
\<page_number>8\</page_number>
<table>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
<tr>
<td>2.2 Digital continuity and IT change</td>
<td>Development area</td>
<td style="background-color: orange;">Medium</td>
</tr>
</table>
- Defra's current work to tackle legacy .pst files ahead of the move to Office 365 addresses a specific area of digital-continuity risk. We saw no evidence, though, to demonstrate that Defra is planning on a consistent basis to ensure digital continuity of its information and data. Defra needs to address this and ensure that information and records management, and digital continuity, are considered routinely as a component of IT procurement processes. See recommendation 3
**3 Information risk, governance and oversight**
**Key developments since closure of Defra's last IMA:**
- KIM moved from Commercial, Estates and Knowledge to DDDS during the IMA. Staff from the Data Asset workstream of Defra's Data Transformation programme moved into KIM after the IMA in October 2017. This team has been working to ensure Defra's data is managed to a common framework.
- The roles of Local Information Champion and Site Owner were introduced and Defra's programme of information audit's came to an end as resource was moved to support the roll-out of SharePoint 2013.
<table>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
<tr>
<td>3.1 Recognising information risk</td>
<td>Development area</td>
<td style="background-color: orange;">Medium</td>
</tr>
</table>
- To date, risks logged on the KIM risk register and logged through Commercial, Estates and Knowledge monthly reporting processes (prior to KIMs move into DDDS) have focussed on resource and Defra's ability to comply with legal obligations. These include the Public Records, Freedom of Information and Data Protection Acts. Defra has not, however, defined the risk of a failure to manage information and records and the potential impact this may have on their availability. Potential cultural, IT and governance related causes need to be identified. Defra has also not yet defined the risk of a failure to ensure the digital continuity of its information. Both risks need to be captured at an appropriate level centrally to enable escalation in the context of Defra's new risk strategy. To support this there may be benefit in encouraging business areas to formally define the risks raised by poor information and records management practice, including how they will mitigate them.
- Defra should factor information and records management related risks into its information risk policy. This currently focusses on information security related risks including the loss or unauthorised alteration or disclosure of Defra's information assets. See recommendation 4
\<page_number>9\</page_number>
<table>
<thead>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
</thead>
<tbody>
<tr>
<td>3.2 Establishing control</td>
<td>Satisfactory</td>
<td>Low</td>
</tr>
</tbody>
</table>
- At the time of the IMA, KIM consisted of the Library and Information Services, Information Rights, Records and Information Management, and the General Data Protection Regulation (GDPR) project. Interviewees noted that DDTS and KIM were already collaborating on GDPR related plans.
- The SharePoint 2013 roll-out and continued provision of support has resulted in a reduction in resource available within the records and information management team for other work. Defra needs to consider the resource levels required to support roll-out, continued maintenance of Office 365, and the delivery of an effective KIM service, which is working to challenge and improve behaviours. This should factor in devolved networks.
- The current split between administrative (Local Information Champions) and oversight/management (Site Owner) roles is potentially effective. Defra should build on this and establish a mechanism to promote and champion good information and records management practice in general, not simply use of SharePoint. See recommendation 5
<table>
<thead>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
</thead>
<tbody>
<tr>
<td>3.3 Providing guidance</td>
<td>Satisfactory</td>
<td>Low</td>
</tr>
</tbody>
</table>
- Information Management policy was reviewed and updated in 2017. A further review should be factored into the Office 365 roll out. Defra should consider using the review to highlight the responsibility of managers and senior staff for ensuring the right records are captured. It should gain board-level sign off for the policy and should also indicate how compliance will be monitored, as recommended in the Section 46 Code of Practice on the Management of Records.\\textsuperscript{2}
- Defra has continued to update its What to Keep desk guide, which now covers EU Exit related material. We saw positive evidence that this guidance was being used by staff, with one Local Information Champion (LIC) in an area that was working with KIM to overhaul their team sites stating they had used it to shorten retention schedules applied to their area’s records. Defra has, though, not published What to Keep guidance or retention schedules publicly. This was recommended by Sir Alex Allan in his 2014 Records Review report and should be addressed.\\textsuperscript{3}
- In line with recommendations made in Sir Alex Allan’s 2015 Review of Government Digital Records report, Defra should also work with private offices to ensure that ministers’ comments on submissions and other documents are being
\\textsuperscript{2} http://www.nationalarchives.gov.uk/information-management/manage-information/planning/records-management-code/
\\textsuperscript{3} https://www.gov.uk/government/publications/records-review-by-sir-alex-allan
\<page_number>10\</page_number> preserved as well as summaries that are sent to the business.<sup>4</sup>
- The information and records management team has been proactive in providing tailored support to those Directorates most closely involved in EU Exit related work towards the end of the SharePoint 2013 roll-out. KIM staff delivered user training to all core Defra staff, as well as offering refresher training. Sessions covered records management and What to Keep guidance as well as technical instructions. What to Keep guidance is also promoted during LIC training. While this is positive, new corporate induction processes do not touch on information and records management responsibilities, and had been drawn up without consulting KIM. HR and KIM need to work together to ensure a joined-up process is in place. Defra needs to be sure that new staff, particularly those working on EU exit related priorities, receive a clear steer from the outset. See recommendation 6
<table>
<thead>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
</thead>
<tbody>
<tr>
<td>3.4 Measuring Impact</td>
<td>Satisfactory</td>
<td>Low</td>
</tr>
</tbody>
</table>
- LICs are expected to carry out a monthly check on the use and integrity of team sites. Some LICs are doing this, but without a mandate from managers, it is not being prioritised by business areas, and no process is in place for delivering any feedback on performance.
- Defra is reviewing team sites to assess how effectively they are being used and is planning to produce a league table to help encourage engagement. As Defra moves beyond implementation of SharePoint 2013 and into the exploitation phase, it needs to expand and develop its approach to provide assurance on the quality of record capture. This may entail consideration of key risk factors such as email capture or the performance of business areas with high-value information. Among IMA programme members, the performance monitoring model implemented by HM Treasury is a good practice model. See recommendation 7
**4 Records, review and transfer**
**Key developments since closure of Defra's last IMA:**
- The inheritance of paper records from the Food and Environment Research Agency (FERA) raised the risk that Defra would be out of compliance.
<table>
<thead>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
</thead>
<tbody>
<tr>
<td>4.1 Oversight of records and selection</td>
<td>Satisfactory</td>
<td>Low</td>
</tr>
</tbody>
</table>
<sup>4</sup> https://www.gov.uk/government/publications/government-digital-records-and-archives-review-by-sir-alex-allan
\<page_number>11\</page_number>
- Well-established good practice approaches are in place for the appraisal of core Defra paper records. Defra should build on these with a view to producing an appraisal report. Defra has limited insight into the contents of its newly inherited legacy of FERA paper records, but is working to address this and working to interrogate them using macro-appraisal principles. In view of the move to consolidate the Defra family, it may be worth defining the risk of further paper or digital legacies being inherited and impacting on the department’s ability to keep pace with the 20-year rule transition period.
- Defra holds a small legacy in SharePoint 2007 team sites in addition to the 9TB held in its shared drives. It plans to decommission these once the contents have been reviewed.
- To date, the records and information management team has had limited oversight of Defra’s data. The Data Asset workstream’s move into KIM offers an opportunity to address this and to define how data will be factored into the records management programme. Defra’s data-rich status and aspiration to become a data-driven department make it particularly important that this is addressed. This should be extended to encompass analytical models, including Quality Assurance approaches that are applied. We did not gain assurance that requirements relating to Quality Assurance are being consistently addressed in line with recommendations made in the 2013 review conducted by Sir Nicholas McPherson.³ See recommendation 8
<table>
<thead>
<tr>
<th>Performance heading</th>
<th>Performance rating</th>
<th>Priority</th>
</tr>
</thead>
<tbody>
<tr>
<td>4.2 Implementing disposal decisions</td>
<td>Satisfactory</td>
<td>Low</td>
</tr>
</tbody>
</table>
- Although Defra has yet to begin routine automated disposal of digital information, business areas were encouraged to engage with KIM and dispose of ephemeral material during the migration to SharePoint 2013. It is using The National Archives’ Digital Records Object Identification (DROID) file profiling tool to delete pre-2001 digital material earmarked for destruction in its 2014 operation clean sweep project.
- Defra’s first digital transfers will be due in 2022. The department has discussed participation in a digital transfer pilot with The National Archives. Plans are on hold currently, awaiting completion of Defra’s planned move to Office 365.
- Defra is engaging with The National Archives as it works to define a five-year transfer plan through to the end of the transition period. In year, it had an existing legacy of 8,000 records to process prior to the influx of FERA records. Defra recognises the need to obtain legal cover for retention of around 19,700 of these records and plans to submit an application for a Retention Instrument at the February 2018 meeting of the Advisory Council on National Records and Archives.⁴ See recommendation 8
______________________________________________________________________
³ https://www.gov.uk/government/publications/review-of-quality-assurance-of-government-models ⁴ http://www.nationalarchives.gov.uk/about/our-role/transparency/record-transfer-report/ Annex A – Recommendations in full
- Recommendations consist of an overall outcome to be delivered through the period of the Defra IMA action plan and a set of supporting actions that will help address the recommendation.
Medium-priority recommendations
<table>
<tr>
<td>1</td>
</tr>
<tr>
<td>Defra to bring information and records management practice within scope of KIM vision statements and establish a plan to develop and maintain the right information management culture. Active and visible support of senior management is needed to promote change.</td>
</tr>
<tr>
<td>This would be supported by:</td>
</tr>
<tr>
<td>• Formally appointing a senior champion for information and records management to sponsor key communications and campaigns and provide visible leadership, including leading by example.</td>
</tr>
<tr>
<td>• Ensuring KIM vision statements are built into DDTS planning and formally aligned to Defra Group strategic objectives. The relationship between KIM visions and the Office 365 adoption strategy vision should be clarified.</td>
</tr>
<tr>
<td>• Factoring information and records management into Director’s assurance statements as done by departments in the IMA programme including the Foreign and Commonwealth Office.</td>
</tr>
<tr>
<td>• Updating the annual personal commitment statement to provide more effective coverage for information management.</td>
</tr>
</table>
<table>
<tr>
<td>2</td>
</tr>
<tr>
<td>Defra to deliver greater support and challenge to IOAs, ensuring key threats are surfaced consistently. This report places particular emphasis on those related to lifecycle management and digital continuity.</td>
</tr>
<tr>
<td>This would be supported by:</td>
</tr>
<tr>
<td>• Ensuring a central steer is provided to new IOAs on the requirements of the role and establishing Defra specific guidance. This should include adapting the IAO Handbook, following the example of IMA programme members such as the Ministry of Justice.</td>
</tr>
<tr>
<td>• Engaging with the KIM team to identify what lifecycle and digital continuity related factors should be captured on the Information Asset Register.</td>
</tr>
<tr>
<td>• Drawing on models used by other IMA programme members such as the Department for Transport and Department for Education to enable a more structured approach to IAO reporting and risk assessment.</td>
</tr>
</table>
\<page_number>13\</page_number> 3
Defra to identify digital continuity priorities to ensure the usability of digital information and embed these in KIM planning.
This would be supported by:
- Factoring consideration of information and records management and digital continuity into IT procurement.
- Promoting use of the IMA programme’s Self-Assessment Questionnaire to members of the Defra Group as a means of benchmarking capability. Doing this now will help assess preparedness for migration to Office 365 and identify any digital legacy related risks.
4
Defra to define the risk to the department and wider Defra Group of a failure to manage information and records effectively and a failure to ensure digital information remains usable. Mitigating actions and monitoring mechanisms should be established.
This would be supported by:
- Factoring information and records management related risk into Defra’s information risk policy.
- Embedding definitions at a proportionate level within the DDTS risk reporting framework, including mitigating actions.
- Encouraging business areas to define the risks that poor information management practice raise.
Recommendations to maintain a satisfactory rating
5
Defra to maintain the priority currently attached by Office 365 plans to information management and information assurance, ensuring opportunities to strengthen governance and embed good practice are taken.
This would be supported by:
- Reviewing Defra’s policy on restricting personal storage and ensuring proportionate enforceable controls are in place now and for potential risk areas such as OneDrive.
- Providing targeted support to staff in addition to this to help drive the right behaviours in key areas such as email management, Vault usage and records capture. Welsh Government’s project to tackle archived emails and improve email management may be helpful.
- Ensuring ongoing focus on actions taken by LICs and staff to support effective application and implementation of retention schedules.
- Reusing work already conducted for the SharePoint 2013 roll-out and learning lessons.
\<page_number>14\</page_number>
- Including KIM membership on DDTS governance boards.
- Identifying how the implementation and embedding work and delivery of a KIM service will be resourced and supported. This needs to include use of devolved networks, with consideration given to the provision of administrative support as well as active championing of good practice in overall terms.
6 Defra continue promoting information and records management policy and supporting guidance. This should be reviewed before the introduction of Office 365 to ensure an effective mandate is established for teams and individuals.
This would be supported by:
- Engagement between HR and KIM to establish a joined up process for coverage of information management during induction.
- Publishing What to Keep or other retention guidance publicly, as recommended in Sir Alex Allan’s 2014 Records Review report.
- Working with private offices to ensure original ministerial comments are being captured as part of the record.
- Following good practice principles established by the Section 46 Code of Practice such as Board level sign off. Policy should ideally establish the role of individuals, managers and senior staff in making sure information is managed effectively.
7 Defra to build on the positive start made through team site reviews and establish a new performance monitoring model that can be developed and embedded over the long term.
This would be supported by:
- Drawing on the good practice approach implemented by HM Treasury, which factors in senior accountability and use of statistics.
- Incorporating qualitative as well as quantitative measures.
8 Defra to maintain the priority currently attached to meeting the requirements of the 20-year rule transition period.
This would be supported by:
- Establishing an appraisal report.
- Continuing to engage with The National Archives as it defines a deliverable five-year-plan, ensuring it has capacity to keep pace with the transition to the 20-year rule.
\<page_number>15\</page_number>
- Defining the risk to Defra's ability to comply with 20-year requirements if further legacies in all paper or digital format are inherited due to machinery of government changes.
- Identifying how data and use of analytical models can be factored into Defra's information and records management approach
- Including maintenance of function pages in team site reviews.
\<page_number>16\</page_number>
|
ENGLISH
|
3603-pdf
|
Universal Credit Local authority led pilots: Lewisham’s experience
# Objectives
<img>Lewisham logo</img>
<table>
<tr>
<td style="vertical-align:top; width:30%;"><img>Person icon</img><br><span style="font-size:1.5em;">1</span></td>
<td style="vertical-align:top; width:70%;"><strong>Can transition independently</strong><br><strong>Needs transitional support</strong><br><strong>Needs intensive support</strong><br><span style="font-size:1.5em;">2</span></td>
<td style="vertical-align:top; width:10%;"><span style="font-size:1.5em;">3</span></td>
</tr>
</table>
1. To develop an <strong>evidence based definition of vulnerability</strong> for transition and access to Universal Credit
2. To develop <strong>triage mechanisms</strong> for identifying and assessing individuals affected
3. To test an <strong>approach for providing a holistically locally delivered face to face transition support service</strong> which improves the ability of claimants to:
- Budget and manage monthly payments
- Sustain tenancies in the social and private rented sector
- Transact with government services online
- Access employment and work-focused training The design process: first sketch
Four areas identified as likely to need transitional support under UC. Each area needs to be considered together and in relation to each other (holistic)
Need levels will vary for individuals on each area. Approach needs to be flexible enough to respond to needs as they are presented (flexible)
<img>Crown logo</img> Lewisham The design process: refining ideas
<img>
A red diamond shape with two paths branching out from the center.
The top path has "feasibility review" written on it.
The bottom path has "brief" written on it.
Two more paths branch out from each of these paths:
One path to the left has "Discover" written on it.
One path to the right has "Define" written on it.
Another path to the left has "Develop" written on it.
Another path to the right has "Deliver" written on it.
There is a large red arrow pointing to the right at the bottom of the diamond shape.
Three photos are shown below the diamond shape:
- The first photo shows people sitting around a table with papers and sticky notes.
- The second photo shows three people sitting around a table with sticky notes and post-it notes.
- The third photo shows a wall with many sticky notes and post-it notes attached to it.
</img>
Lewisham
# The prototype model for go live
<img>Lewisham logo</img>
**Call to action**
Amy Jones 15 Cresswell Road Cforth S68 4RU
Dear Amy
As you know, we are making some changes to our benefit entitlements. From 2013 there will be major changes to your benefit entitlement.
**What's changing?** The Government has capped the amount of benefits each non-working household can receive:
- Families will receive no more than £500 per week.
- Single people will receive no more than £350 per week.
**How this affects you** Our income is below the current entitlement, including housing benefit and out-of-work benefits, is more than the cap.
Based on this information, your household could lose between £100 and £150 per week in 2013.
This money will be deducted from your housing benefit/rent you already pay.
**What you can do** On the back of this letter you will find information about what you can do to prepare for the changes, and where to go for help.
We will be phoning you a few days to talk about what support you need. If we think you need further advice, we will offer you a face-to-face appointment.
Yours sincerely, Universal Credit Pilot Team
www.lewisham.gov.uk
**Simple language & focused on main change affecting household**
**Benefits are changing - are you ready?**
**Benefit cap** Starting 1 January, there will be a limit on the total amount of benefits an out-of-work household can receive. The limit is £200 a week for single people and £500 for families. If your household income is over this limit, you may have to reduce your benefit payments. If you fall below this cap, your benefit will go down. The deductions will be taken from your housing benefit/rent award.
**Housing benefit** You must not be exempt from the benefit cap if either:
- You are receiving child tax credits or child-related child tax credit
- You are eligible for working tax credits
- You are eligible for working age credits
This means that anyone who is affected by the benefit cap needs to find 16 or 24 hours work a week (depending on their circumstances) to keep their housing benefit/rent award. If you're struggling with your housing benefit/rent, you may need to make an additional payment to cover the deduction.
**Before we go further for the changes** If you're affected by the changes, Lewisham Council is offering appointments with a specialist advisor who will talk to you about how best to manage your situation. They'll also help you to draw up an action plan to address any support needs you might have during the transition.
**Universal credit** From October 2013, universal credit will replace all of the following benefits and credits:
- Housing benefit/rent
- Universal credit
- Income-related pensioner allowance
- Income-related employment and support allowance
- Housing benefit
- Child tax credit and working tax credits
Universal credit is a new system which helps people in receipt of one or more of these benefits. If you're affected by the changes, universal credit will help you to manage your money better by budgeting your money to pay for both housing expenses as well as your rent.
______________________________________________________________________
**Focuses on the financial loss**
______________________________________________________________________
<img>Image of a document titled "If you have difficulty understanding this document in English please call us on 020 7253 7700" with contact details and a phone number.</img> <watermark>Slid in a box made from recycled plastic packaging material. Contains: plastic, paper, ink. Recyclable. Please recycle. For recycling information visit www.recycling.org.uk</watermark> <watermark>Recycle</watermark>
**If you have difficulty understanding this document in English please call us on 020 7253 7700**
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewisham Council.*
\*Please note: This document contains sensitive personal data. It is only intended for use by Lewisham Council staff and those who have been given permission by Lewishham The prototype model for go live
20 questions, each with scores and triggers based on the four quadrants...
<img>Lewisham logo</img>
**Lewisham** **Better Access** Customer Relationship Management System
**Digital**
Apart from mobile internet, how do you currently access the internet?
☐ via home computer ☐ via laptop/tablet ☐ via public computer ☐ other (please specify)
Previous Question | View Answers | Exit
Comments/Suggestions can be directed here
______________________________________________________________________
**Lewisham** **Better Access** Customer Relationship Management System
**Financial**
Do you use direct debits / standing orders to pay your utility bills?
☐ Yes ☐ No
Previous Question | View Answers | Exit
Comments/Suggestions can be directed here
______________________________________________________________________
**Lewisham** **Better Access** Customer Relationship Management System
**Employment**
Have you been in paid employment in the last 12 months?
☐ Yes ☐ No
Previous Question | View Answers | Exit
Comments/Suggestions can be directed here
______________________________________________________________________
**Lewisham** **Better Access** Customer Relationship Management System
Are you behind with your rent?
☐ Yes ☐ No
Previous Question | View Answers | Exit
Comments/Suggestions can be directed here
______________________________________________________________________
Books appointments and integrates to HB and customer contact records via CRM... The prototype model for go live
<img>Lewisham logo</img>
Appointment starts with a calculation demonstrating the financial impact of welfare reform on work....<br> Builds the case for action and thinking differently about work in the context of welfare reform
Summer 2013
<img>Bar chart showing income categories. Today: £681, Out of Work: £911, In Work: £277. Categories include Benefits, Child benefits, Earnings, Housing Support, Child Support, State Award, Disability Support, Child Disability Element, Childcare Costs, Universal Credit Equivalent Income.</img>
Support focused conversation looks at:
- **Employment**
- **Financial**
- **Digital**
- **Housing**
Establishes level of need and makes referrals to key agencies
<img>Better Access logo</img> Lewisham Better Access <watermark>LBUC</watermark>
I am in debt I need help with budgeting. I don't have a bank account. I would like help on using my bank account to pay my bills. I think there has been a mistake with my universal credit or benefit calculation. I am concerned that someone else is misusing my money.
Money saving tips
Comments/Suggestions can be directed here.
<table>
<tr>
<td>Previous Question</td>
<td>Exit</td>
</tr>
</table>
The prototype model for go live
Support plan focuses on the top 3-4 barriers...
<img>Lewisham logo</img>
**Personalised...**
Ms Amy Jones 1 Caledonia Road Lewisham SE8 4RU
**Public Services** Universal Credit Team 4th Floor Laurence Holdale House London SW1P 3AU Direct line 0208 3144960 Universalcredit@lewisham.gov.uk 1 February 2017
Dear Amy,
Re: Support Planning Session
Thank you for attending your support planning session on Friday.
At your appointment, we discussed how Universal Credit and the Benefit Cap would impact your housing benefit payments. Under Universal Credit, the maximum weekly payment for Housing Benefit is £215.47. The maximum weekly payment for Pension Credit is £215.47. Some of your other benefits are capped this summer and £215.47 a week when Universal Credit is introduced.
I understand that until the only way to avoid losing housing benefit at all is to move to a more affordable property. This will cost you up to £291.55 better off this summer.
If you are a parent, don't forget parents, you will utilise this money from your housing benefit and you will have to find the extra money to pay your rent.
We discussed how I could support you to prepare for these changes. You told me that you would like more help with:
- Finding a job
- Finding a job in a more affordable property
- Budgeting your finances
Finding a job
You said that you would be interested in getting some help to find work so that you won't lose money. I am going to arrange for you to attend the Launch Pad training provided by AAE.
I have contacted AAE for you and booked an appointment for you to see Jenny on 20/03 08:00. If you have any problems getting to your appointment, you must call Jenny on 20/03 08:00.
Moving to a more affordable property
You said that you were in temporary accommodation and have been bidding for social landlord properties through Homelease. Although social housing is your preferred option, there is shortage of social housing in London. Last year, there were 1,669 applications for social housing in Lewisham compared to just 1,369 people living in temporary accommodation. Only 13 properties within four or more bedrooms were let last year and most of them were let at below market rates. This means that many people are still struggling with their housing needs. During this process, you will be responsible for paying the difference between your housing benefit and the rent of the property you are applying for.
Because your rent is high in your current property, we talked about moving out of temporary accommodation into social housing.
I told you that Lewisham Council may be able to provide you with some extra financial help with a deposit or removal costs if you choose to do this.
If you would like to apply for this, then I am happy to provide you with details of a deposit or removal costs which is affordable for you. This can be done via email at: [email protected] or by phone on 0208 3144960.
Once you have received permission, we will need to complete the Housing Application form. If you require assistance completing this application, you can call 0208 3144 8444.
We will be able to provide you with some financial assistance to help with deposits and move costs if you are successful in obtaining social housing. We will also include an application form with this letter. Once you have found alternative affordable accommodation, we will continue to return the form to the address given.
Budgeting your finances
You told me that you were concerned about budgeting your money monthly since universal credit is introduced. You asked that you would receive a credit union budgeting account to help with this. Please contact me directly if you need further information on this matter. I will also send an email with all possible information on this matter.
Remember it's important that your start preparing now. Please make sure you get in touch with these organisations who are all ready to help you.
Yours sincerely, Karen Karen Reynolds Universal Credit Support Officer
**Referrals are named and contact the claimant directly...**
<img>Lewisham logo</img> Lewisham
# Progress & redesign
<img>Lewisham logo</img>
524 contacted (200 control group)
362 families contacted and triaged, of these
196 appointments completed 121 no longer affected (benefit cap) 22 appointments pending 18 vulnerable but refuse an appointment 5 not vulnerable
**What have we learnt about the process?**
Feedback from customers is good – 97% say the intervention was helpful
I am pleased for all the help I received today, they mean so much. Gives me more confidence and shows me which route to take. everything has been explained in a way that I can understand and now help myself.
Triage and basic advice over the phone takes about 20 minutes, appointments & follow up support plans take about 2 hours
There are things we can do better to get people engaged & we need to think about sustaining the positive energy to act
<img>Handwritten notes on a piece of paper.</img> <img>Document with red stamp and handwritten notes.</img> Learning about our residents: FINANCIAL
<img>Piggy bank with 'Blow House' and 'Save' written on it.</img> Benefit cap loss ranges under £1 to over £200 a week....limited awareness of the personal impact and strategies for mitigating the impact. ‘Work does not pay’ is a widely held belief amongst this group.
<img>Piggy bank with 'Blow House' and 'Save' written on it.</img> 48% have a bank account that supports direct debit and say they can cope with UC going into their account with some basic budgeting advice
<img>Piggy bank with 'Blow House' and 'Save' written on it.</img> 42% have applied for a crisis loan in the past
<img>Piggy bank with 'Blow House' and 'Save' written on it.</img> 11% have significant debt issues and have been referred to the CAB for intensive debt management advice.
<img>Piggy bank with 'Blow House' and 'Save' written on it.</img> 46 referrals to the Credit Union (although relatively high existing membership levels)...when they show up, nearly all take on a service...but they aren’t showing up!
<watermark>Lewisham</watermark>
# Learning about our residents: DIGITAL
<img>Lewisham logo</img>
63% say they have internet access in their homes (not mobile) and can use it independently...although most only use it for social media at the moment
A further 24% say they have access in their homes and can use it with help from friends or family...language usually being the main barrier
This leaves 13% who need access and support...based on a 40,000 Lewisham caseload, this is 5,200 people needing access and support to complete a claim
The numbers needing support might be higher...the unknown at the moment is the complexity of the form.
Learning from the replacement social fund schemes...people will turn up if they have something urgent or are concerned...if they need to do something online, it needs to be close to where they present. Learning about our residents: HOUSING
<img>A house with four windows on each floor.</img> The overwhelming initial claimant response to the benefit cap is to try and find cheaper housing...but what people want is social housing.
For most families with more than four children, there is no housing solution to the benefit cap.
31% have never been responsible for paying rent direct to their landlord.
39% are already in rent arrears.
Mixed views on rent as a priority...'I am not going to worry about these changes because I think they are ridiculous. I would rather buy things for my children then worry about the shortfall of my rent.'
Lewisham Learning about our residents: EMPLOYMENT
<img>Lewisham logo</img>
Less than 3% of this group have been in paid employment in the last 12 months
40% say they are not looking for work.
43% cite childcare as the main barrier to work...but only 23% request help or advice to fund or find childcare at appointments, preferring to use informal or other childcare networks.
Strongly held belief that having children means work doesn’t pay...some even had example calculations from JCP in their hands to prove this to us at appointments. The benefit cap means they ALL will be better off...some significantly.
For most of these families, finding paid work is the only way to avoid the benefit cap. If they don’t they will not be afford to live and budgeting advice under UC becomes irrelevant.
# Learning: TRIAGE AND COMPLEX NEEDS
<img>Lewisham logo</img>
There are some predictors of vulnerability but a set of questions and triggers on its own is unlikely to tell you who needs more on-going support...some examples:
<table>
<tr>
<td>
Mr and Mrs H live in a 5 bedroom house with their 7 children and stand to lose £276 a week after the benefit cap. Mrs H has fled domestic violence in the past and Mr H has served 20 years in prison. Mr H doesn't claim JSA because he doesn't want to look for work as he thinks there is no point given his record. Mr and Mrs H have already been in contact with HOC because their landlord said they would start eviction proceedings because of the benefit cap.
</td>
<td>
Ms E has 5 children, 3 of who still live with her. She is currently in a Rent Incentive Scheme property which is too big for her needs and will lose £350 a week after the benefit cap. Ms E has had a troubled life which has involved physical and sexual abuse. She understandably has very low self-esteem and is experiencing depression and anxiety. Ms E said she would like to look for work but the JobCentre weren't interested in helping her.
</td>
<td>
Ms T lives in temporary accommodation in a property provided by Hyde. She is a single parent with 3 children and stands to lose £93 a week after the benefit cap. She hasn't worked for a number of years. Ms T has moved frequently, one of her children has been in three different schools and is currently placed in a pupil referral unit in Lewisham.
</td>
</tr>
</table>
At the appointment discovered that Mrs H had worked as a cleaner. After her appointment she contacted her old boss to get required 16 hours.
Despite initial enthusiasm and frequent telephone calls, Ms E failed to follow up on referrals for intensive family support offered.
We made a referral for Ms T for intensive employment support. By the time the referral was followed up, she had already found 16 hours work as a carer.
# Designing a complex needs support service
Model developed so far identifies ‘standard’ and ‘non-standard’ claimants and has developed a model for families needing **SOME transitional support** but the model is not sufficient for those requiring **INTENSIVE transitional support**.
## Next phase – developing a model for intensive transitional support
<img>A circular diagram with four quadrants labeled 'Digital', 'Financial', 'Housing' and 'Employment'. A Pritt stick is placed at the center.</img>
Building a case work model which **glues** everything together – if one area falls apart, so will all the others.
Focused on **sustaining the impact** of the intervention – investing in a casework approach now to stop people re-presenting to us at a later stage.
Focuses on **behaviour change** (resilience, tenacity, responsibility) – which is ultimately the goal of UC
Lewisham Key messages for the LSSF
<img>Lewisham logo</img>
☐ Housing and employment need to be built into local approaches – even if it just linking better to existing provision
☐ Universal Credit can’t be seen in isolation from other welfare reforms – our residents don’t separate them
☐ We need to have smarter ways of identifying vulnerability – this is beyond just the ability to budget and access the internet
☐ Behaviour ‘nudge’ needs to be integrated into our LSSF models – it is what UC is trying to achieve
☐ We can start testing some of this now – welfare reforms are happening now, what people need to do for these are not that different from what they need to do for UC Justine Roberts Universal Credit Pilot Manager
justine.roberts@lewisham.gov.uk
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ENGLISH
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3370-pdf
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The Department for Education is currently drafting statutory guidance for schools to support their new duty to secure independent careers guidance for pupils in years 9-11. The guidance will be published in the Spring Term with the new duty effective from September 2012
# Statutory Guidance for Schools on Careers Guidance for Young People
## About this guidance
1. This is statutory guidance from the Department for Education. This means that recipients must have regard to it when carrying out duties relating to the provision of careers guidance for young people.
2. The purpose of this guidance is to identify the key responsibilities of schools in relation to careers guidance for young people. The Government is clear that it expects schools to become more accountable for the successful progression of pupils to further education, higher education and skilled employment. This is principally determined by the quality of our schools and the levels of attainment pre-16. However, schools have a key role to play in supporting their pupils to make informed decisions by providing access to independent information and guidance about the education and training options that are most likely to get young people into their preferred course, or the qualifications that employers most value. This information will become increasingly important as young people will be required to participate in education or training until the end of the academic year in which they turn 17 from 2013, and to their 18th birthday from 2015.
3. Apart from the elements identified here, it is for schools to decide what careers guidance provision to make available based on the needs of pupils. Schools should meet the costs of provision from their overall budgets which are generally unringfenced in line with the Government’s commitment to provide head teachers with the flexibility to use their resources in ways that best meet their needs.
4. This guidance should be read in conjunction with *The Education Bill – changes to the delivery of careers guidance*, a document made available to schools in April 2011.
## What legislation does this guidance relate to?
5. This guidance is being issued under section 45A of Part VII of the Education Act 1997 and schools must have regard to it.
## Who is this guidance for?
6. Secondary schools and pupil referral units.
## Background
7. The Education Act 2011 places schools under a duty to secure access to independent careers guidance for their pupils from September 2012. Schools will be free to make arrangements for careers guidance that fit the needs and circumstances of their students, and will be able to engage, as appropriate, in partnership with external, expert providers.
\<page_number>1\</page_number> 8. Once the duty on schools has been commenced, there will be no expectation that local authorities will provide a universal careers service, although their statutory responsibility under section 68 of the Education and Skills Act 2008 to encourage, enable and assist the participation of young people in education or training, remains unchanged.
**Statutory duty**
9. The Education Act 2011 inserts a new duty, section 42A, into Part VII of the Education Act 1997, requiring schools to secure access to independent careers guidance for pupils in years 9-11. Guidance must be presented in an impartial manner and promote the best interests of the pupils to whom it is given. Guidance should also include information on options available in respect of 16-18 education or training, including apprenticeships.
**Responsibilities of schools**
10. The Government’s general approach is to give schools greater freedom and flexibility to decide how to fulfil their statutory duties in accordance with the needs of their pupils. However, there is an expectation that schools will have regard to the following guidance when deciding on the most appropriate forms of independent careers guidance:
**Assuring the quality of external providers of careers guidance**
11. Schools may work individually or in partnership to procure face-to-face services. Schools can commission independent careers guidance from providers engaged in delivering the National Careers Service or with other providers, as they see fit. The Skills Funding Agency will require providers of the National Careers Service to be accredited to the revised version of the Matrix Quality Standard by April 2013. The Standard will assist schools in making well-informed decisions about which providers to work with. Emiq Ltd, the organisation responsible for administering the Matrix Quality Standard on behalf of government, will provide schools with information about which organisations are suitably accredited.
12. The Careers Profession Alliance (CPA), an umbrella organisation of five professional career associations, is developing professional standards and qualifications and a progression framework for careers professionals. This will also include a national register of careers guidance practitioners. Within the Matrix Standard, there is a specific requirement that in order to meet quality standards, organisations who employ careers guidance staff in England should adhere to the professional qualifications and standards as determined by the CPA.
\<page_number>2\</page_number> **Securing access to face-to-face careers guidance**
13. In fulfilling their new duty, schools should secure access to independent face-to-face careers guidance where it is the most suitable support, in particular for disadvantaged children and those with special educational needs and disabilities. Increased complexity and competition in education and labour markets means that some young people would benefit far more from face-to-face guidance to help guide them through the wealth of information and options available. Face-to-face guidance can offer the opportunity for a qualified careers adviser to explore how a young person’s circumstances, abilities, interests and aspirations may impact on their decision making about future learning and career options.
**Providing careers education for young people**
14. The requirement for schools to provide a programme of careers education (section 43 of Part VII of the Education Act 1997) will be repealed as the Government does not consider it is necessary to legislate for this. The removal of this provision does not imply that careers education is unimportant. Schools should recognise that the range of activities encompassed within the term ‘careers education’ are important in contextualising the careers guidance on offer to pupils, supporting the development of decision making and career management skills. Schools should consider how these activities are best delivered, taking into account the particular needs of their pupils.
15. An example of beneficial wider careers activity is engagement with local employers to offer young people insights into the world of work. Schools should decide on the most appropriate forms of engagement but might consider mentoring, workplace visits, enterprise clubs and employer talks.
**Ensuring adequate support for pupils with special educational needs (SEN) or disabilities**
16. Schools will have responsibility for securing access to independent careers guidance for all their pupils, including those with special educational needs (SEN) or disabilities. Pupils should receive impartial advice about all of the mainstream education and training opportunities on offer, regardless of their individual circumstances. Schools should work closely with local authorities who have an important role to play, in particular through the provision of SEN support services.
**Working with local authorities**
17. Local authorities will retain their duty to encourage, enable or assist young people’s participation in education or training. They are also expected to have arrangements in place to check that 16 and 17 year olds have received an offer of a suitable place in post-16 education or training, and this will become increasingly important as the participation age is raised.
\<page_number>3\</page_number> 18. To enable local authorities to do this, they will continue to track young people’s participation through the local Client Caseload Information System (CCIS) in order to identify those who are at risk of not participating post-16, or are in need of targeted support. Schools should work with local authorities to support them in recording young people’s post-16 plans and the offers they receive along with their current circumstances and activities.
19. Section 72 of the Education and Skills Act 2008 requires all schools to provide relevant information about pupils to local authority support services. Schools should also work in partnership with local authorities to ensure they know what services are available, and how young people can be referred. The legislation being put in place in 2013 to raise the participation age will place a duty on schools to notify local authorities whenever a 16 or 17 year old leaves learning.
**Working with local learning providers**
20. Schools have a responsibility to act impartially and recognise where it may be in the best interests of some pupils to pursue an apprenticeship or college course, for example. Schools should therefore maintain links with local post-16 learning providers, including further education colleges and work-based training providers, to ensure that young people are aware of the full range of academic and vocational options.
21. Schools should arrange visits for 14-16 year olds to local colleges, training providers and universities and invite those institutions into the school to provide information about the courses on offer. This can be supplemented by local college and training provider prospectuses being made available to pupils to assist informed decision making.
**Sources of good practice and useful contacts**
22. In making arrangements to secure access to independent careers guidance for young people, schools may find it helpful to look at examples of good practice in this area. A set of case studies are available on the Local Government Association’s Communities of Practice website. This site will continue to be developed as further examples of good practice are identified.
23. Useful sources of information:
- Association for Careers Education and Guidance - http://www.aceg.org.uk/
- Education and Employers Task Force - http://www.educationandemployers.org/
- Institute for Education Business Excellence - https://www.iebe.org.uk/
- Institute of Career Guidance - http://www.icg-uk.org/
- Learning and Skills Improvement Service - http://www.lsis.org.uk/
- National Apprenticeship Service - http://www.apprenticeships.org.uk/
- National Citizen Service - http://www.direct.gov.uk/en/YoungPeople/Workandcareers/Workexperi
\<page_number>4\</page_number> enceandvolunteering/NationalCitizenService/index.htm
- PSHE Association - http://www.pshe-association.org.uk/
- Supporting post-16 transition: http://www.education.gov.uk/schools/pupilsupport/inclusionandlearners/support/b0077473/s/supporting-post-16-transition
- Young People's Online Careers Advice - http://www.direct.gov.uk/en/YoungPeople/index.htm
Participation Division Department for Education November 2011
<img>DRAFT</img>
\<page_number>5\</page_number>
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4398-pdf
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<img>ORR OFFICE OF RAIL AND ROAD logo</img>
**Our procedures**
**Enabling legislation**
1 We were established under the provisions of the Railways and Transport Safety Act 2003 (RTSA). This provided for the functions, property, rights and liabilities of the then rail regulator to be transferred to us. Our economic functions are rooted in the Railways Act 1993 which set up that regulator. Schedule 1 of RTSA sets out arrangements for our constitution, staffing, proceedings, money and conflicts of interest.
2 The Railways Act 2005 transferred to us safety functions for the railways in Britain. Regulations made under the Health and Safety at Work etc. Act 1974 made us responsible for railway related enforcement of health and safety. The Infrastructure Act 2015 made us the Monitor of how Highways England’s exercises its functions. The Railways (Access, Management and Licensing of Railway Undertakings) Regulations 2016 amended section 17 of the RTSA to extend ORR’s remit to Northern Ireland, thereby giving us economic regulatory responsibilities for the railways in Northern Ireland.¹ We also have economic regulatory responsibilities for the northern half of the Channel Tunnel pursuant to the Channel Tunnel (International Arrangements) Charging Framework and Transfer of Economic Regulation Functions) Order 2015.²
3 We are required by the RTSA to agree and make public our procedures. This document meets that requirement.
**Constitution**
4 The Secretary of State for Transport appoints our chair and board members. The minimum number of members is four (currently we have twelve members, four of whom are executives). We can establish board committees and appoint independent members to them.
5 The chair will appoint a non-executive deputy chair to assist them in their work and to act as meeting chair in their absence. Should our chair become incapacitated, the executive should refer to the deputy chair for
______________________________________________________________________
¹ Our economic functions for Northern Ireland are set out in the Railways Infrastructure (Access, Management and Licensing of Railways Undertakings) Regulations (Northern Ireland) 2016. ² This Order gave effect to the bi-national regulation of the Intergovernmental Commission of 23rd March 2015 transferring economic rail regulation competence from the Intergovernmental Commission to the national regulatory bodies. Our economic functions in respect of the Channel Tunnel are set out in the Railways (Access, Management and Licensing of Railway Undertakings) Regulations 2016.
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
\<page_number>- 1 -\</page_number> immediate guidance (notwithstanding the Secretary of State’s responsibility for appointing our permanent Chair).
6 We are required to appoint a chief executive and we choose to appoint a director of railway safety. We ask the Secretary of State to appoint these individuals to the board but as we cannot make these appointments ourselves we grant both post holders free and unfettered access to the Chair and the board.
7 The board expects that our chief executive will be designated Accounting Officer for the ORR by HM Treasury. Such an appointment carries additional responsibilities which on rare occasions will not align entirely with those of board membership. The chief executive may then ask the board to direct them in writing to implement a particular decision. This mechanism triggers Parliamentary scrutiny which is an important part of the system of checks and balances that we work within.
8 All our employees are members of the civil service and we rely on the values and standards for that service set out in the Civil Service Code.
9 The purpose of our board is to set ORR’s strategic direction and our priorities and oversee our executive’s delivery of our business. In doing so, our board takes decisions on the matters set out below and in annex A.
10 In performing our functions we will comply with the generally accepted principles of good corporate governance and good regulation. All our members accept collective responsibility for all decisions made by our board.
11 These procedures set out how we will carry out our functions including how we deal with conflicts of interest and the delegations of any functions we have made to our committee members, board members, our chief executive or another of our employees.
12 Our board, our employees and our committee members (who may or may not be employees) are all subject to a general duty of confidentiality in relation to the conduct of our affairs as regulator of Britain’s railways. Similarly, our code of conduct (annex C) applies.
**Our board meetings and decisions**
13 **Meetings.** Our board secretary will propose by the end of each calendar year a schedule of board meetings for the next year. Our current practice is to hold ten meetings a year.
14 Our chair may call an additional meeting. Further, any two members may call an additional meeting, by making a written request to the chair (or, in their absence, to the chief executive) and the additional meeting shall be held within 15 working days of the request.
\<page_number>- 2 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 **15** **Notice of meetings.** Meetings will normally be convened with a minimum of five working days’ notice. In exceptional circumstances a shorter period might be necessary but such shorter notice will only be valid if ratified at the meeting. Notice of a meeting shall be in writing or electronic mail and failure of a member to receive the notice does not invalidate that meeting or any business transacted at it.
**16** Our board may invite any person to attend all or part of one of the meetings and any such invitation will be included in the notice for the meeting.
**17** **Agenda & papers.** Normally the agenda and any papers will be circulated five working days in advance of a meeting. The non-receipt of agenda or papers by a member shall not invalidate the meeting or any business transacted at that meeting. Papers may be tabled at a meeting only with the permission of our chair.
**18** **Quorum.** Meetings will be quorate if five members are present and remain present and at least three are non-executive (our chair is non-executive). In determining a quorum in relation to particular items, only those members who are entitled to vote on the item shall be counted. If our chair agrees then a member can participate fully in a meeting by telephone or video-conferencing. All attendances and absences will be recorded in the minutes.
**19** Only in exceptional circumstances may board members be absent from meetings without the prior agreement of our chair or in their absence our chief executive.
**20** **Procedure at meetings.** Subject to these rules, our board may meet together for the despatch of our business, adjourn and otherwise regulate meetings as it thinks fit.
**21** If our chair is present at a meeting they will preside. If they are unable to be present then the deputy chair will preside.
**22** If a member who is not present submits written comments on an agenda item(s) then these will be circulated at the meeting or read out by the meeting chair at the appropriate point in the meeting.
**23** Our meeting chair will:
- preserve order
- ensure that each member has sufficient opportunity to express his/her views on all matters under discussion;
- determine all matters of order, competency and relevancy;
- determine in which order those present should speak; and
- determine whether or not a vote is required and how it is carried out in accordance with the rules below.
\<page_number>- 3 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 **24 Decisions.** Decisions of our board will normally be made by consensus rather than by formal vote. Failing consensus, decisions will be reached by a simple majority vote when:
- the meeting chair feels that no clear consensus has emerged or is likely to; or
- a member who is present requests a vote to be taken and this is supported by at least one other member; or
- any other circumstances have arisen where the meeting chair feels that a vote should be taken.
**25 In these circumstances each member has a single vote exercised either orally or by a show of hands. Only members present (including by phone) may vote. In the case of an equality of votes ORR's Chair has a second casting vote. The meeting chair shall not have a second casting vote. The meeting chair will declare the result and the minutes will record only the numerical results of the vote including any abstentions without any attributions.**
**26 Deferred decisions.** Our board may defer a scheduled decision for any reason. A decision to defer, together with the reasons for doing so, will be recorded in the minutes.
**27 Decisions outside meetings.** Any matter capable of being decided by our board may instead be decided by written or email confirmation given by a majority of the members of the board with ORR's Chair having the power to cast a second casting vote as provided for in the voting rule.
**28 Urgent matters.** Our Chair (or, in their absence, any other member) after advice from our chief executive (or, in their absence, another executive board member), may decide that a matter requires approval by the board before the next scheduled meeting. In these circumstances, the appropriate papers to inform the decision will be circulated to members for a decision by email or by telephone.
**29 Expedited decisions.** Our chair, or in their absence our chief executive or another executive board member, may trigger an expedited process if the matter is extremely urgent.
**30 This process enables a decision to be taken by a minimum of two members participating in a meeting called for the purpose (one of whom must be our Chair so long as they can be contacted and can participate within the necessary timescale for the decision). Attempts must be made to contact all other members with an indication of the issue that needs resolution, and the time and place of the meeting, and they must be given the opportunity to participate in it in person or by telephone or video-conference as appropriate. Any decision made or approval given under this expedited process must be minuted and reported to the board at its next meeting.**
\<page_number>- 4 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 31 **Minutes.** Minutes will be kept of all meetings and these should be reviewed and approved, as amended at the next scheduled meeting. The minutes will record the key points of discussions, unless a member specifically requests that his/her comments be recorded. Minutes (or a version redacted as appropriate) will be lodged on our website within one month of their approval.
<table>
<tr>
<td><strong>Our committees</strong></td>
</tr>
</table>
32 Our board can establish standing or ad hoc committees in either an advisory role or with delegated powers. For every committee our board shall agree its terms of reference. These rules shall govern the proceedings of a committee so far as they are capable of applying [except for a Competition Case Decision Group appointed under Rule 34]. To the extent that our board has not done so, a committee shall be free to set its own rules of procedure.
33 We have four standing committees:
- our **audit and risk committee** – its terms of reference are set out at annex D
- our **remuneration and nominations committee** – see annex E
- our **safety regulation committee** – see annex F
- our **highways committee** – see annex G
34 Our Board will from time to time appoint a Competition Case Decision Group (CCDGC) as an ad hoc committee under these rules to make all decisions involved in any case under the Competition Act 1998, following the issue of a statement of objections, and to supervise the investigation. The CCDG shall set its own rules of procedure.
<table>
<tr>
<td><strong>Reserved matters and delegations</strong></td>
</tr>
</table>
35 **Reserved matters.** The matters listed at annex A are reserved to our board unless our board delegates them to an employee or a committee. The list of matters reserved for decision by our board does not preclude other matters being referred to the board for decision by our chief executive.
36 **Delegations.** Any delegation made by our board may be made subject to conditions and the delegation or conditions may be revoked or altered by our board. The nature and scope of single issue delegations will be recorded in the minutes. Our board may decide to discharge a function even though it has previously delegated the discharge of that function to a committee or employee; when our board does discharge such a delegated-function, this will be recorded in the minutes.
37 **Chief executive.** Our board delegates to our chief executive the discharge of all our functions other than:
- any matter reserved to our board
- any matter delegated to a committee, and
\<page_number>- 5 -\</page_number>
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
- the health and safety enforcement matters delegated to our director of railway safety set out below (para 38 and 39).
38 The Board is required to make adequate arrangements for the enforcement of the relevant statutory provisions under the Health and Safety at Work Act³. Our board delegates the performance of these enforcement functions to our director of railway safety on the condition that this delegation will be carried out in full compliance with our board approved health and safety enforcement policy.
39 Our director of railway safety may authorise in writing appropriate employees to perform these functions on his behalf. Delegations will be subject to the same condition and the director of railway safety will maintain a list of delegations lodged with our board secretary.We also delegate to our director of railway safety approval of the appointment of suitably qualified safety inspectors and to specify which of the powers conferred on inspectors by the relevant statutory provisions are to be exercisable by that inspector in line with our health and safety enforcement policy. The process for assessing and appointing inspectors shall be reported to the board.
40 Committee delegations. The terms of reference for each committee set out any permanent powers or functions that our board has delegated to it. The board may choose to make additional, single issue delegations to a committee without amending its terms of reference.
41 Our chief executive may delegate the discharge of their functions (and, if they choose, the authority to make further delegations) to appropriate employees. They will maintain a list of all such delegations lodged with our board secretary.
42 In particular, the Chief Executive shall delegate the making of the decisions involved in each case under the Competition Act 1998, up to and including the issue of a statement of objections and the supervision of the conduct of the investigation to one or more suitably qualified SCS or Grade A members of ORR staff (except that the Chief Executive may not appoint himself). The Chief Executive may not delegate this function (except in circumstances where they are not available for a period) or allow the SCS or Grade A member of staff to delegate further.
43 An executive should not exercise a delegation from the chief executive on a matter which is novel or contentious or where the reputational risk to the organisation is such that the chief executive judges board participation to be prudent. The board shall receive reports and information from our executive in a form as to allow such matters to be identified.
44 Contracts or other documents. Our chair and chief executive are both authorised to sign contracts or other documents on our behalf, and our board authorises either of them to delegate this authority to one or more of our employees as he/she thinks appropriate.
______________________________________________________________________
³ Schedule 18, He
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
\<page_number>- 6 -\</page_number> **Conflicts of interest**
**45** **Disclosure.** If a member of our board or committee member knowingly has any interest or duty which is material and relevant or the possibility of such an interest or duty, whether direct or indirect and whether pecuniary or not, that in the opinion of a fair-minded and informed observer would suggest a real possibility of bias in relation to any matter that is brought up for consideration at a meeting of the board or any committee he/she shall disclose the nature of the interest or duty.
**46** The declaration of interest or duty may be made at the meeting at the start of the discussion of the item to which it relates or in advance in writing to the chairman of that meeting. If an interest or duty has been declared in advance of the meeting this will be made known by the chairman of the meeting prior to the discussion of the relevant agenda item. In the event of the member not appreciating at the beginning of the discussion that an interest or duty exists, he/she should declare such an interest or duty as soon as he/she becomes aware of it.
**47** Our employees in attendance at a board or committee meeting should declare interests as set out above.
**48** The board members present at the meeting will decide whether the interest or duty is one that is likely to influence the member's or employee's performance of his/her function or whether it is one that is relevant to that function. If it is decided that the former is the case, the member or employee shall withdraw from all further participation on the issue leaving the meeting until the next item is called. If it is decided that the latter is the case, the member or employee shall withdraw unless the other board members present decide the member or employee may participate to the extent those board members consider appropriate; if the board members present decide that the member or employee should leave the meeting, the chairman of the meeting may allow that member or employee to make a statement on the item under discussion.
**49** A member of the board, committee member or ORR employee in attendance at meetings of the board or a committee shall be subject to the procedures for dealing with conflicts of interest set out at annex B.
**50** All the above matters will be recorded in the minutes of the meeting together with any additional information that our board considers appropriate (including the extent to which the member or employee had access to papers prior to withdrawal).
**Other matters**
**51** **Public statements.** Our members agree to obtain the approval of our chair or our chief executive (or in both their absences our director of external
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 \<page_number>- 7 -\</page_number> affairs) before making statements to Parliament or the media, submitting papers/articles in published media and making formal presentations/speeches on any matter relevant to ORR or the discharge of our functions.
52 **Performance reviews.** Our board and committees will review their performance on an annual basis and provide details of these reviews in our annual report and accounts.
53 **Procedural reviews.** These procedures will be reviewed as and when required by our board, but at least every other year and may be varied by the consent of the majority of the members of our board present at a meeting. No procedure may contravene a statutory provision.
\<page_number>- 8 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex A - **reserved matters**
A1 Our board will take the decisions on the matters set out below.
A2 **Our corporate strategy.** The approval of our corporate strategy and any revisions to it.
A3 **Our annual plans and budgets.** Approval of the priorities for forthcoming annual plans and approval of our published plan and budget allocations prior to start of the year in question.
A4 **Our annual report and accounts.** Approval of the annual report and accounts that we submit to Parliament. Also the approval of significant changes in our accounting policies and the appointment or removal of our auditors.
A5 **Major items of regulatory policy,** including but not limited to:
- periodic reviews – overall process, frameworks and draft and final determinations
- our enforcement policies – including the use of our health & safety, licence, competition and consumer powers
- all statutory enforcement action (except that related to health & safety, which is delegated to our director of railway safety in accordance with rule 38 and 39 of our rules of procedure and that related to cases under the Competition Act 1998, which is delegated under rules 34 and 42)
- reviewing final reports produced from investigations under paragraph 4 of schedule 3 of the Railways Act 2005 prior to publication¹
- establishing or changing regulatory policy relating to the exercise of any of our functions;
- our response to any consultation affecting our role, powers or constitution conducted by government.
A6 **Competition matters:** notwithstanding Rule 34, the Board retains strategic oversight of the exercise by ORR (through a competition case decision group) of its functions under the Competition Act 1998 and the executive shall provide the board with appropriate information and updates to enable it to discharge this function.
A7 **Litigation other than statutory enforcement** Oversight of any major legal dispute in which we are involved, including approving the start by ORR of any significant litigation, any decision to appeal any significant judgment that has been given against us and the defence of any litigation started against us.
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
\<page_number>- 9 -\</page_number> A8 **Our governance.** Approval of our policy on conflicts of interest and any changes to our procedural rules. Also approval of any new memorandum of understanding or formal agreement that we may enter into with a third party including with a government department or other UK regulatory body and any material changes to any existing memorandum of understanding or formal agreement.
A9 **Our committees.** Approval of the terms of reference of our committees.
A10 **Our organisation.** Approval of our overall structure, oversight of our people strategy including our strategy on reward (within the constraints of wider civil service rules);
A11 **Our executive.** Approval of the appointment of our chief executive and the terms of employment. Approval of our executive remuneration policy and the pay of our senior civil service employees.
A12 **Contracts.** Approval to enter into any contracts not in the ordinary course of business and any capital projects above £500k.
Note. In an emergency situation where significant additional expenditure is urgently required to safeguard any of our operations or to protect our assets, our Accounting Officer (usually the Chief executive) may approve unbudgeted expenditure. Such approval should be submitted at the earliest opportunity to our board for ratification
A13 **General.** Approval to anything that by law is reserved to our board (including deciding, as a qualified person for the purposes of section 36(2) of the Freedom of Information Act 2000, whether information that has been requested should be treated as exempt information under that section of that act).
A14 Anything not covered in these reserved matters may be determined by the Chief Executive or delegated by them except that no executive should exercise such a delegation on a matter which is novel or contentious or which carries a reputational risk to the organisation such that the chief executive judges board engagement to be prudent.
\<page_number>- 10 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex B - conflicts of interest
**Introduction** B1 Members must ensure that no conflict arises, or could reasonably be perceived to arise, between their public duties and private interests – financial or otherwise.
B2 Members must declare publicly any private interests which may, or may be perceived to, conflict with their duties as members⁴. Statute requires members to withdraw from the discussion or determination of matters in which they have a financial interest. In matters in which they have a non-financial interest, members should not participate in the discussion or determination of a matter where the interest might suggest a danger of bias.⁵
B3 Any member or committee member who has a financial or other personal interest which is relevant to any of our functions is obliged to declare that interest. In addition: (a) if that interest is likely to influence that member’s performance of a particular function, he/she is obliged to withdraw from the performance of the function (b) if that interest is not likely to influence that member’s performance of that particular function, he/she must still withdraw from the performance of the function to the relevant extent unless our board directs otherwise.
B4 Our employees must comply with our general policy regulating financial or other interests. Any employee who attends our board or committee meetings must comply with these rules.
B5 Every member should avoid situations in which his/her duties and private interests may conflict or where there would be a suspicion of conflict and ensure that, before he/she becomes involved in taking a decision or participating in a discussion, there are no conflicts of interest that, in the opinion of a fair-minded and informed observer, would suggest a real possibility of bias.
B6 Where a member comes into possession of confidential information in the course of his/her duties, he/she must not use or disclose that information in order to benefit himself or herself or any other person.
B7 A member should consult our chair before accepting a new appointment whether or not this may lead to a conflict of interest.
⁴ In general, all financial interests should be declared. When considering what non-financial interests should be declared, you should ask yourself whether a member of the public, acting reasonably, would consider that the interest in question might influence your words, actions or decisions. ⁵ These are common law provisions.
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 \<page_number>- 11 -\</page_number> B8 Each member is responsible for his/her own compliance with these procedural arrangements and with the law.
B9 **Register of Interests** - our board secretary will keep a register of interests. This register is published on our website.
B10 Each member must register all interests that are capable of being interests that might conflict with his/her duties. Each member is responsible for keeping his/her register entry up to date and should notify our board secretary as soon as possible of any changes which need to be made.
B11 Every year our board secretary will confirm with every member that his/her interests have been registered. Our board secretary may from time to time ask each member to confirm that his/her registered interests are up to date and that he/she has complied with these procedural arrangements.
B12 **Registering Interests** – On appointment, members should include in the register brief details of past employers in the road or rail industries, with dates and job titles. Case law demonstrates that the seniority of such roles and their duration may lead to a perceived interest or bias in relation to that organization. The board will decide on a case by case basis whether such an interest should be treated as likely to influence the member (as set out in B3(a)) and for how long it should be considered relevant.
B13 Our members should register the following interests:
relevant securities which are not placed in a blind trust (as defined below);
remunerated employment, office or profession other than with us;
other regular sources of remuneration;
directorships, whether remunerated or not; and
membership of public bodies (hospital trusts, governing bodies of universities, colleges and schools, and local authorities), trusteehips (of museums, galleries and similar bodies) and acting as an office holder or trustee for pressure groups, trade unions and voluntary or not-for-profit organisations.
B14 For these purposes, “relevant securities” means any financial interest (such as shares or debt securities including debentures, bonds, options, rights or future rights to shares or other securities but not including units in a unit trust or equivalent managed fund and not including gifts, government bonds or other financial instruments issued by or on behalf of HM Government) in the bodies referred to in paragraph B15 held by a person, their spouses or dependent children which are not placed in a blind trust. “Blind trust” means an arrangement by which a person gives a stockbroker or other professional investment manager absolute discretion to manage investments in relevant securities and under which that person:
\<page_number>- 12 -\</page_number>
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
- is not consulted before any dealing takes place;
- does not instruct the investment manager with regard to any specific securities; and
- is not informed of changes in specific investments or the state of the portfolio other than in an aggregated form or as required for tax returns.
**B15** The bodies referred to in paragraph B12 and B13 are bodies having an interest in the rail or highways industries in Britain which includes:
(a) persons who operate trains, networks or other railways or highways assets or who are parties to access agreements;
(b) persons applying for licences or approval or direction of access agreements on the railways;
(c) persons who supply any material equipment or services to the railway industry including rolling stock leasing companies;
(d) construction contractors active in UK highways or railways;
(e) funders; and
(f) bodies which are part of the same group as a person falling within any of the above sub-paragraphs.
**B16** **Disclosing interests** - from time to time a member may have or become aware of interests which might conflict with his/her ORR duties. As well as keeping his/her entry on the register of interests up to date, a member must disclose to our board secretary such interests as soon as he/she becomes aware that they may cause a conflict, for example, on receipt of an agenda or board meeting papers.
**B17** Such interests must be disclosed whether or not they are entered on the register.
**B18** The minutes of any board or committee meeting will note the disclosure of any such conflicts and our board's decision in relation to that member's continued participation or withdrawal from discussions and decisions.
**B19** In considering whether to disclose such an interest, a member should ask whether, in the opinion of a fair-minded and informed observer, the interest would suggest a real possibility of conflict on that member's part. The following questions may be useful:
Does he/she have any material financial or other business relationship with a stakeholder?
Does he/she have any other relationships with another party, the existence of which might suggest a real possibility of bias on his/her part?
\<page_number>- 13 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Has he/she taken a public position that might be seen as compromising his/her ability to deal objectively with a matter that is relevant to ORR?
In the opinion of a fair-minded and informed observer, would the interests of close family members suggest a real possibility of bias on the part of that member?
B20 In particular, a material financial interest held by a member, other than through a blind trust, in a body referred to in paragraph B15 should be considered to have such a wide ranging potential influence in relation to our decisions that it creates a strong presumption that it is not practicable for that member to serve on the board or committee. This presumption should be rebuttable only in exceptional circumstances. For the purposes of this paragraph, a material financial interest in a funder is not to be interpreted as covering the holding of gilts, government bonds or any other financial instruments issued by or on behalf of HM Government.
B21 Advisory interests in the bodies referred to in paragraph B15 may in certain cases be likely to influence a member’s functions within the meaning of paragraph B3(a) above. An assessment can be made in each instance whether they preclude membership or can be dealt with on a case by case basis in accordance with the procedures set out below.
B22 Such an assessment should have regard to how directly the interests of the person with whom the member has such an advisory link would be influenced by our decision making. The greater the extent of the person’s involvement in Britain’s rail industry as regulated by ORR the more problematic the interest is likely to be. Advisory interests in businesses whose underlying value could be materially impacted by our decisions are likely to be unacceptable. Other relevant factors include:
the subject matter and scope of the advice the member would be likely to be asked to give; and
the duration of the relationship.
B23 It will be important to weigh up the extent to which there could be any perception that the member has access to confidential information that could benefit a third party. Consultancy or advisory interests are more likely to raise problems where the advice to be given by a member to a third party could be expected to be materially affected by our decisions.
B24 Some interests will not raise such serious concerns and may only be relevant to one or more of a member’s or Committee Member’s functions (for the purposes of paragraph B3(b) above).
B25 Each member also needs to consider any financial or advisory interests held by his/her spouse or dependent children. In certain situations he/she may also need to consider the interests of other close family members.
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 \<page_number>- 14 -\</page_number> B26 The presumption should always be in favour of a member declaring any interest that could be relevant to the performance of his/her functions.
B27 **Procedures for handling interests** - if a member receives a written paper on a matter in relation to which he/she has a conflict of interest, he/she must immediately return the paper to our board secretary with an indication of the extent to which he/she has read the paper.
B28 If a member becomes aware of a conflict during the course of any discussion, he/she should immediately disclose his/her interest and he/she should, if appropriate, withdraw from the discussion and any decision relating to the matter. However, in some circumstances he/she may, if the board or committee permits, participate in such discussions and decisions in accordance with rules 45-50 of our rules of procedure.
B29 Before trading relevant securities or exercising options, a member should disclose his/her intention to our chair giving their sufficient time (at least one working day) to veto any such trading. The board secretary will record the disclosure of such intention to trade by any member together with our chair's decision.
B30 **Confidential information** - it is a criminal offence for an individual who has information as an insider to deal in securities (including shares, debentures, warrants and options) on a regulated market. A member who gains access to price-sensitive information through his/her duties will be considered an "insider". A member will be committing an offence if he/she has unpublished price-sensitive information on any company, and deals in the securities himself/herself, or arranges for someone to deal in the securities on his/her behalf, or passes the information on to someone, or encourages someone else to deal.
B31 Every member must take particular care to avoid disclosing to any person (or otherwise acting on) any discussion relating to decisions which have not yet been made public.
B32 Even where disclosure would not breach the insider dealing rules, a member must ensure that he/she does not disclose to any person information received during the course of his/her duties where such information has been provided on a confidential basis.
\<page_number>- 15 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex C - code of conduct
C1 Our chair, members of our board and committee members (together “members”) must comply at all times with the Code of Conduct for Board Members of Public Bodies and act in good faith and in ORR’s best interests. Our employees must comply with the civil service code and ORR’s code of conduct.
C2 **Public service values** - in our activities and actions we will have regard to the seven principles of public life and the principles of good regulation: proportionality, accountability, consistency, transparency and proper targeting of regulation to achieved defined goals.
C3 Our members must maintain the highest standards of propriety, involving integrity, impartiality and objectivity in relation to the stewardship of public funds and our management. Our members must not seek to gain material benefits for themselves, their families or their friends through the performance of their duties.
C4 Our members must comply with the conflicts of interest arrangements set out in annex B.
C5 Our members are required to take all appropriate steps to ensure we operate in the most efficient and economical way, within available resources, and with independent validation of our performance wherever practicable.
C6 **Gifts and hospitality** - our members (including those who are not our employees) must comply with the policy on accepting gifts and hospitality which we publish for all staff, as updated from time to time.
C7 **Expenses** - a member may only recover his/her expenses if the expenditure is reasonably and necessarily incurred on our behalf. A member must submit receipts with his/her claim form, save in exceptional circumstances. Claims should be submitted to our Board Secretary as soon as possible after they have been incurred.
C8 Our members must comply with the policy on travel and subsistence which we publish for all staff, as updated from time to time.
C9 **Leaving ORR** - on termination of office, our chair, members and committee members must return all of our property.
C10 **Data Protection** - our members give their consent for all purposes to the holding, processing and accessing by us of personal data about them. We hold all such data in accordance with ORR’s data protection policy.
C11 Our members who are not our employees must also hold data in accordance with our data protection policy.
- 16 - Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex D – audit and risk committee terms of reference
D1 The Board has established an audit and risk committee as a committee of the Board, to support them in their responsibilities for issues of risk, control and governance and associated assurance by:
- Reviewing the comprehensiveness of assurances in meeting the Board and accounting officer’s assurance needs;
- Reviewing the reliability and integrity of these assurances;
- Providing an opinion on how well the Board and accounting officer are supported in decision taking and in discharging their accountability obligations (particularly in respect of financial reporting and risk management).
D2 Membership - the Board made appointments to the committee, including the committee chair. The committee would comprise at least two non-executive members of the Board and at least one independent member with relevant experience. Membership would be reviewed every three years.
D3 Reporting - the chair of the audit and risk committee will report back to the Board after each meeting. Minutes of each committee meeting will be circulated to members of the Board for noting once they have been approved.
D4 The audit and risk committee will provide the Board and accounting officer with an annual report, timed to support finalisation of the accounts and annual report, summarising its conclusions from the work it has done during the year, with particular reference to the organisation’s risk, governance and internal control framework.
D5 Responsibilities - the audit and risk committee will advise the Board and accounting officer on, and where appropriate make recommendations for changes to:
- ORR’s strategic processes for risk, control and governance and the annual Governance Statement.
- Encourage the ORR Board to take a proactive approach in the ownership of organisational risk;
- The effectiveness of ORR’s internal processes, ensuring that timely and focused reviews of any internal process failures take place and are discussed by the committee to share lessons learned;
- ORR’s accounting policies, accounts, and financial annual report. This should include accounting policies and practice, compliance with laws and accounting standards and major matters of judgement. It will also cover the process for review of the accounts prior to submission for audit, levels of error identified, and management’s letter of representation to the external auditors;
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 \<page_number>- 17 -\</page_number>
- the planned activity and results of both internal and external audit, promoting internal audits as a driver for continuous improvement of our existing systems;
- the effectiveness of the internal audit function;
- adequacy of management response to issues identified by audit activity, including external audit’s management letter;
- assurances relating to the corporate governance requirements for ORR;
- the adequacy of anti-fraud and corruption policies and whistle-blowing processes;
- (where appropriate) proposals for tendering for either internal or external audit services or for purchase of non-audit services from contractors who provide audit services;
- the appointment or dismissal of any external organisation appointed to provide internal audit services;
- the effectiveness of the internal audit function including the internal audit strategy and plan including the nature and scope of their audit programme covering the planning, undertaking and management of the internal audit process;
- the fees and annual costs of internal and external audit.
- any other matters referred to it by the Board
- the lessons learned from each meeting will be discussed at each meeting.
D6 The audit and risk committee will also annually review its own effectiveness and terms of reference and report the results of that review to the Board, including any recommendations for change.
D7 **Rights** - the audit and risk committee may
- co-opt additional members for a period not exceeding a year to provide specialist skills, knowledge and experience;
- ask the Health and Safety Regulatory Committee to oversee oversee studies where ARC considers that the HSRC’s competency is better suited to the content;
- procure specialist ad-hoc legal or other professional advice at the expense of the organisation, subject to budgets agreed by the Board and where the use of ORR’s internal resources is inappropriate.
- investigate any activity within its terms of reference, and seek through the accounting officer any information it requires from ORR employees. All such employees are directed to co-operate with any reasonable request made by the committee in the conduct of its enquiries.
\<page_number>- 18 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 D8 **Access** - the representatives of internal and external audit will have free and confidential access to the Chair of the audit and risk committee between meetings and the committee if required at each meeting. D9 The Director of Railway Safety will have free and confidential access to the audit and risk committee and its Chair. D10 **Meetings** - the audit and risk committee will meet at least three times a year. The Chair of the committee may convene additional meetings, as he/she deems necessary; D11 A minimum of two members of the audit and risk committee will be present for the meeting to be deemed quorate; D12 Audit and risk committee meetings will normally be attended by the accounting officer, the director of corporate operations, the associate director of finance and corporate governance, a representative of internal audit, and a representative of external audit; D13 The audit and risk committee may instruct any other officials of the organisation to attend to assist it with its discussions on any particular matter; D14 The audit and risk committee may instruct any or all of those who normally attend but who are not members to withdraw to facilitate open and frank discussion of particular matters; D15 The Board, accounting officer, internal audit or external audit may ask the audit and risk committee to convene further meetings to discuss particular issues on which they want the committee’s advice. D16 An outline agenda programme will be agreed by the committee at its first meeting following the beginning of each financial year and reported to the board. D17 **Information requirements** - for each meeting the audit and risk committee will be provided with:
- A report summarising any significant changes to the organisation’s risk register;
- A progress report from internal audit summarising:
- work performed (and a comparison with work planned);
- key issues emerging from internal audit work;
- management response to audit recommendations;
- changes to the periodic plan;
- any resourcing issues affecting the delivery of internal audit objectives.
- A progress report from the external audit representative summarising work done and emerging findings;
- Notice of any incidents of financial irregularity or fraud;
- Internal and external audit will have an opportunity at each meeting to raise any issues with the committee without ORR staff being present.
D18 As and when appropriate the committee will also be provided with:
- External audit’s audit strategy
- The internal audit strategy;
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 \<page_number>- 19 -\</page_number>
- Proposals for the terms of reference of internal audits;
- Full reports and follow up reports from internal audit investigations
- The internal audit's annual opinion and report; quality assurance reports on the internal audit function;
- ORR's draft accounts;
- ORR's draft statement on governance;
- A report on any changes to accounting policies;
- External audit's management letter;
- A report on any proposals to tender for audit functions;
- A report on co-operation between Internal and external audit. Any other material that the committee reasonably requires in order to fulfil its responsibilities
\<page_number>- 20 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex E – remuneration and nominations committee terms of reference⁶
TERMS OF REFERENCE
E1 Authority This is an advisory committee of the ORR Board.
E2 The committee’s functions vary for different groups of people:
A For non-executive roles:
- Advise on recruitment process and criteria;
- Agree induction plans for new members and keep these under review;
- Consider succession planning for board committees and advise the chair.
B For the chief executive (SCS3):
- Advise the Chair on CEO recruitment;
- Annually consider performance and reward (in line with wider civil service rules) and make recommendations to the board;
- Review succession options for the CEO role and advise the chair in the light of any short term need.
C For SCS1 and SCS2 roles:
- With the chief executive consider annual performance and reward (in line with wider civil service rules) and make recommendations to the board;
- Review succession plans and consider emerging risks;
- Advise the CEO on additional requirements for recruitment of roles which are expected to include board appointments.
- **Oversight of SCS Recruitment:** A non-executive board member will sit on the selection panel for all SCS2 recruitments: the chief executive will agree with the chair which member that should be. The chief executive will agree with the recruiting director the composition of the panel for any SCS1 recruitment. D For non-SCS roles:
- Oversight of our people strategy including our strategy on reward (within the constraints of wider civil service rules);
- Consider the outcome of the annual staff survey and executive plans for addressing any issues; and
⁶ This committee combines the functions of the former remuneration committee with the nominations committee. The TOR was reviewed by the committee in October 2019 and approved by the board in February 2020.
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 \<page_number>- 21 -\</page_number>
- Annually meet with the staff council in advance of reviewing the reward strategy and executive performance.
In addition, the Committee as a whole or its individual members may be asked to hear appeals or grievances, including fulfilling reciprocal commitments to other civil service bodies including the CMA.
**E3 Membership**
The committee will consist of three non-executive members of the ORR Board. The quorum will be two members with the most senior HR professional (currently the Associate Director of HR).
**E4 Attendees and resources**
Meetings of the committee will be attended by the Chief Executive, the Director of Corporate Operations, the most senior HR professional (currently the Associate Director of HR), and the Board Secretary.
Other secretarial support may be called on as necessary.
The committee may obtain independent legal or other professional advice where the use of ORR’s internal resources is inappropriate.
**E5 Meeting procedures**
Three Committee meetings each year will be scheduled to enable regular decisions and reports to be dealt with in a timely way. These meetings will normally be held around scheduled board meetings.
Additional meetings may be called by the committee to deal with emerging or urgent issues.
**E6 Reporting**
The committee chair will report headlines to the board orally at its next meeting (usually the next day).
Once agreed by the committee, minutes of the meetings will be circulated to board members with the next board paper pack (except where the content is sensitive).
The committee will review these terms of reference each year and advise the board of the outcome.
\<page_number>- 22 -\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex F – Health and safety regulation committee terms of reference
Health and safety regulation committee terms of reference<sup>7</sup>
F1. **Authority** – this is an advisory committee established by the Board.
F2. **Purpose** - a Board / senior team forum: ☑ To assist with ORR's regulation of health and safety by retaining oversight of certain areas on behalf of the Board and by helping shape the strategic health and safety issues to be put to the Board for consideration. This includes oversight of: ○ the overall risk picture, and the strategic work of ORR in relation to health and safety; ○ the development of health and safety related policy; and ○ the overview of the performance of the industry. ▪ To consider what other health and safety related bodies, including relevant bodies outside the UK, are doing and ensure ORR adopts relevant examples of good practice. ▪ To safeguard relationships with HSE, RAIB and RSSB. ☑ To oversee, on behalf of the ORR Board, reviews of RSSB's effectiveness. ☑ To examine such matters as requested by, and report its findings to, the Board. ☑ To oversee studies for the audit and risk committee where that committee considers that the HSRC's competency is better suited to the content; ☑ To make such recommendations to the Board as it sees fit from time to time.
F3. **Membership** - the committee will consist of a mix of executive and at least two non-executive directors appointed by the Board from time to time.
Meeting arrangements
F4. **Quorum** - the quorum for meetings is three members: one of whom must be a non-executive director and another of whom must be the Director of Railway Safety or a deputy Director of Railway Safety.
F5. **Chaining meetings** - the committee will be chaired by the appointed chair or in their absence the ORR Chair. If neither is in attendance then the committee will appoint one of the attending non-executive directors as the chair for the meeting.
F6. **Frequency of meetings** - the committee will usually meet quarterly. The ORR chair or committee chair may call special meetings at any time.
______________________________________________________________________
<sup>7</sup> Updated by the Committee in June 2020 and agreed by the ORR Board on 28 July 2020 Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
\<page_number>-23-\</page_number> F7. **Attendance** – experts (including staff) and external stakeholders will be invited to attend and contribute to specific committee discussions in order to support the committee’s oversight of the health and safety performance of the industry.
F8. **Agendas** - the secretary will agree the agenda with the chair, following discussion with the Director of Railway Safety. The committee will at each meeting consider its forward agenda. The agenda and any papers will be circulated, where practicable, one week in advance of the meeting.
F9. **Papers and presentations** – these would normally be expected in order to aid the informed discussion of the topic on the agenda.
F10. **Reporting and follow up** - the chair will report orally to the ORR Board at its next meeting and will provide general feedback on matters discussed to the Railway Health and Safety Advisory Committee (RIHSAC) at its next meeting. Once approved, the HSRC minutes will be circulated to the ORR Board.
Where external stakeholders attend the committee and the committee agrees it is appropriate (following consideration of the discussion), the chair of the committee will formally record any unanswered concerns in writing with the stakeholder. The minutes should record whether or not any follow up is to be made, on each occasion that an external stakeholder appears.
F11. The committee will review these terms of reference each year and advise the Board of the outcome. Previous versions of amended terms of reference will be retained in ORR’s document management system, in order to provide an audit trail.
Date of last review: June 2020
Next review due: June 2021
\<page_number>-24-\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020 Annex G – Highways Committee
**Highways Committee**
**TERMS OF REFERENCE**
**G1 Authority**
This committee is a sub-committee of the ORR Board. Except when given a delegation to act in a specific matter, its purpose is to advise the board.
The existence of this committee is a requirement of a 2015 memorandum of understanding between the Department for Transport and ORR as the Highways Monitor⁸. Changes to these terms of reference and committee membership must continue to meet the requirements of the MOU and confirmation of this should be obtained from the Department.
**G2 Functions**
- advise the ORR Board in developing an appropriate and effective monitoring framework and internal decision making framework for roads, and keep these under review;
- receive and scrutinise outputs from the monitoring framework;
- advise the ORR Board if the strategic highways company [Highways England] appears to be failing to comply with the road investment strategy or the Secretary of State’s directions and guidance;
- oversee the planning, resourcing and delivery of any special report commissioned by the Secretary of State;
- make recommendations to the ORR Board as to what any advice or report to the Secretary of State should contain, including advice on the objectives for a future road investment strategy;
- oversee the creation and regular meetings of a roads expert panel; and
- advise the ORR Board of opportunities for synergies with ORR’s rail functions.
**G3 Membership**
The committee will consist of up to seven members:
- two non-executive members of the ORR Board including one with relevant specialism who will chair the committee;
______________________________________________________________________
⁸ Section 6, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/411801/mou- ser.pdf
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
\<page_number>-25-\</page_number>
- up to two co-opted independent members to supplement the other members' skills and experience or to represent the views of wider stakeholders
- up to two executive directors including one with economic regulatory or asset management experience; and
- ORR's highways director. The quorum will be 50% of members as long as the executive members are not in a majority.
**G4 Attendees and resources**
Meetings of the committee will be attended by members of staff appropriate to the agenda. Secretariat will be provided by the Roads Directorate with the support of the Board Secretary.
**G5 Meeting procedures**
At least four committee meetings each year will be scheduled to enable regular decisions and reports to be dealt with in a timely way. These meetings will normally be held around scheduled ORR board meetings.
Meetings may be called by the committee to deal with emerging or urgent issues (such as sudden changes in HE's performance).
**G6 Reporting**
The committee chair will report headlines to the board orally at its next meeting (usually the next day) or if necessary by a direct report to the ORR chair.
Once agreed by the committee, minutes of the meetings will be circulated with the next ORR board pack.
The committee will review these terms of reference each year and advise the board of the outcome.
______________________________________________________________________
Railways Act 2005, Schedule 3, Paragraph 4 (1) The Office of Rail Regulation may cause a person to investigate and make a special report on any accident, incident or matter of any sort which that Office thinks it necessary or expedient to investigate—(a) for any of the railway safety purposes; or (b) with a view to the making of regulations for any of those purposes. (2) The Office of Rail Regulation may cause— (a)the contents of a special report made under this paragraph, or (b) so much of them as it considers appropriate, to be made public at such time, and in such manner, as it thinks fit.
Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
\<page_number>-26-\</page_number> (3)Where a person who is not a member, officer or employee of the Office of Rail Regulation carries out an investigation and makes a special report under this paragraph, that Office may pay him such remuneration and expenses as the Secretary of State determines. (4)The Office of Rail Regulation may, to such extent as the Secretary of State may determine, defray the other costs (if any) of—
1. (a)an investigation under this paragraph; or
2. (b)the making of a special report following such an investigation. (5)In section 14(1) of the 1974 Act (matters about which investigations etc. may be required or authorised by the HSC), for “it is” substitute—
3. (a)that general purposes shall be treated as not including the railway safety purposes; but
4. (b)it is otherwise—
\<page_number>-27-\</page_number> Agreed by the board on 28 March 2017 and updated with amendments to committee TORs in July 2020
|
ENGLISH
|
0607-pdf
|
<img>Veritau Assurance Services for the Public Sector</img>
High Needs SEN City of York Council Internal Audit Report 2015/16
Business Unit: Children's Services, Education and Skills, Responsible Officer: Interim Assistant Director, Education and Skills Service Manager: Head of Disability Services and Special Education Needs Date Issued: 27 July 2016 Status: Final Reference: 11120/001
<table>
<thead>
<tr>
<td></td>
<td>P1</td>
<td>P2</td>
<td>P3</td>
</tr>
</thead>
<tbody>
<tr>
<td>Actions</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<td>Overall Audit Opinion</td>
<td colspan="3">High Assurance</td>
</tr>
</tbody>
</table>
\<page_number>1\</page_number>
<img>YORK logo</img>
# Summary and Overall Conclusions
## Introduction
From September 2014 a new SEN code of practise was introduced by the Department for Education. The changes mean that children with special educational needs who have a high level of need will start to be issued with an Education, Health and Care Plan. The Education, Health and Care Plan will slowly replace the previous Statements.
The council is also undertaking an Inclusion Review, looking at the way in which provision in the authority is organised and how it serves the needs of the children within the authority.
## Objectives and Scope of the Audit
The purpose of this audit was to provide assurance to management that procedures and controls within the system will ensure that:
- SEN Payments made are correct, timely and appropriate.
- Budgets are appropriately monitored
- Suitable and sufficient information is available to aid financial benchmarking and decision making
## Key Findings
It was found that payments made for High Needs SEN were correct, and supported by appropriate documentation. Clear information is available to all people including council staff, external institutions, funding recipients and parents to support funding decisions and reviews.
The council is in the process of implementing the national change from Statements to Education, Health and Care Plans. Plans for learners are subject to regular reviews, including their effectiveness and funding level. Some future budgetary pressures are forecast, however the council is currently undertaking an inclusion review looking at the effectiveness of provision across the city. After the results of this the council should be in a position to make informed budgetary decisions.
Information such as the number of recipients and their type of need and funding level is available internally to monitor the provision, but not all provision is benchmarked. Use of benchmarking data could increase understanding about York’s provision in comparison with other local authorities’.
Two separate teams are responsible for the administration of High Needs SEN funding depending whether the provision is pre or post maintained education. With the loss of a key member of staff from the post maintained education team it should be considered whether the split is meaningful or whether the two parts of the service could be more closely aligned for better integration and increased resilience.
\<page_number>2\</page_number> <img>YORK logo</img> Overall Conclusions
It was found that the arrangements for managing risk were very good. An effective control environment appears to be in operation. Our overall opinion of the controls within the system at the time of the audit was that they provided High Assurance.
\<page_number>3\</page_number> <img>YORK logo</img> **1 Benchmarking**
<table>
<tr>
<td><strong>Issue/Control Weakness</strong></td>
<td><strong>Risk</strong></td>
</tr>
<tr>
<td>SEN provision is not benchmarked.</td>
<td>The authorities SEN provision may not be comparable to other authorities' SEN provision. Areas for review may not be identified and highlighted to ensure provision is effectively provided and budgeted for.</td>
</tr>
</table>
**Findings** The authority holds a lot of information regarding the High Needs SEN provision, including number of recipients, the banding in which their needs fall and the type of need that they have.
They authority do not however undertake formal benchmarking for all High Needs SEN provision, which may aid in understanding how comparable its provision for SEN is to other authorities' provisions to aid future planning and budget setting.
**Agreed Action 1.1** Benchmarking will be undertaken
| Priority | 3 | |---|---| | Responsible Officer | SEN Information & Finance Co-ordinator | | Timescale | April 2017 |
**Agreed Action 1.2** Benchmarking will be undertaken
| Priority | 3 | |---|---| | Responsible Officer | Learning Skills La 16-19 Manager | | Timescale | April 2017 |
\<page_number>4\</page_number> <img>YORK logo</img> Annex 1
# Audit Opinions and Priorities for Actions
**Audit Opinions** Audit work is based on sampling transactions to test the operation of systems. It cannot guarantee the elimination of fraud or error. Our opinion is based on the risks we identify at the time of the audit.
Our overall audit opinion is based on 5 grades of opinion, as set out below.
<table>
<tr>
<th>Opinion</th>
<th>Assessment of Internal control</th>
</tr>
<tr>
<td>High Assurance</td>
<td>Overall, very good management of risk. An effective control environment appears to be in operation.</td>
</tr>
<tr>
<td>Substantial Assurance</td>
<td>Overall, good management of risk with few weaknesses identified. An effective control environment is in operation but there is scope for further improvement in the areas identified.</td>
</tr>
<tr>
<td>Reasonable Assurance</td>
<td>Overall, satisfactory management of risk with a number of weaknesses identified. An acceptable control environment is in operation but there are a number of improvements that could be made.</td>
</tr>
<tr>
<td>Limited Assurance</td>
<td>Overall, poor management of risk with significant control weaknesses in key areas and major improvements required before an effective control environment will be in operation.</td>
</tr>
<tr>
<td>No Assurance</td>
<td>Overall, there is a fundamental failure in control and risks are not being effectively managed. A number of key areas require substantial improvement to protect the system from error and abuse.</td>
</tr>
</table>
**Priorities for Actions**
Priority 1 A fundamental system weakness, which presents unacceptable risk to the system objectives and requires urgent attention by management.
Priority 2 A significant system weakness, whose impact or frequency presents risks to the system objectives, which needs to be addressed by management.
Priority 3 The system objectives are not exposed to significant risk, but the issue merits attention by management.
\<page_number>5\</page_number>
<img>YORK logo</img> Where information resulting from audit work is made public or is provided to a third party by the client or by Veritau then this must be done on the understanding that any third party will rely on the information at its own risk. Veritau will not owe a duty of care or assume any responsibility towards anyone other than the client in relation to the information supplied. Equally, no third party may assert any rights or bring any claims against Veritau in connection with the information. Where information is provided to a named third party, the third party will keep the information confidential.
\<page_number>6\</page_number> <img>YORK logo</img>
|
ENGLISH
|
1235-pdf
|
<table>
<thead>
<tr>
<th>Department family</th>
<th>Entity</th>
<th>Date</th>
<th>Expense Type</th>
<th>Expense area</th>
<th>Supplier</th>
<th>Transaction number</th>
<th>AP Amount (€)</th>
<th>VAT registration number</th>
<th>Purchase invoice number</th>
</tr>
</thead>
<tbody>
<tr>
<td>Department of Health</td>
<td>MHS Confederation CCO</td>
<td>31/08/2027</td>
<td>Apprenticeship Lino Paolieri</td>
<td>SALUANT SHETT</td>
<td>HBRIC</td>
<td>30425078</td>
<td>579.60</td>
<td>LXP90565M80B3A</td>
<td></td>
</tr>
<tr>
<td>Department of Health</td>
<td>MHS Confederation CCO</td>
<td>31/08/2027</td>
<td>Incomes tax 2027</td>
<td>SALUANT SHETT</td>
<td>HBRIC</td>
<td>30425078</td>
<td>73.475.73</td>
<td>LXP90565M80B3A</td>
<td></td>
</tr>
<tr>
<td>Department of Health</td>
<td>MHS Confederation CCO</td>
<td>31/08/2027</td>
<td>Cash flow - Salud de la Tierra S.A.</td>
<td>SALUANT SHETT</td>
<td>HBRIC</td>
<td>24929179</td>
<td>1,209.00</td>
<td>LXP90565M80B3A</td>
<td></td>
</tr>
<tr>
<td>Department of Health</td>
<td>MHS Confederation CCO</td>
<td>31/08/2027</td>
<td>National Insurance - 1.2. No 955</td>
<td>SALUANT SHETT</td>
<td>HBRIC</td>
<td>30425078</td>
<td>4322.614</td>
<td>LXP90565M80B3A</td>
<td></td>
</tr>
<tr>
<td>Department of Health</td>
<td>MHS Confederation CCO</td>
<td>31/08/2027</td>
<td>Euro 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 1,146,464.61 - 3099999999999999999999999999999999999999999999999999999999999999999999999999999999999999988888888888888888888888888888888888888888888888888888888888888888888888888888888887777777777777777777777777777777777777777777777777777777777777777777777777555555555555555555555555555555555555555555555555555555555555555555555555333333333333333333333333333333333333333333333333333333333222222222222222222222222222222222222222222222222222222222222222222222222<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table style="width: 100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<th>Description of the Department of Health (CDD)</th>
<th>Description of the Entity (EID)</th>
<th>Date (YYYY-MM-DD)</th>
<th>Expense Type (Description)</th>
<th>Expense Area (Description)</th>
<th>Supplier (Name and Code)</th>
<th>Transaction Number (Transaction ID)</th>
<th>Amount (Currency) (Amount in €)</th>
<th>VAT Registration Number (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.) (VAT Reg.)
<th>Description of the Department of Health
<th>Description of the Entity
<th>Date
<th>Expense Type
<th>Expense Area
<th>Supplier
<th>Transaction Number
<th>Amount
<th>VAT Registration Number
<th>Purchase Invoice Number
<table style="width: 100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<th>Description of the Department of Health
<th>Description of the Entity
<th>Date
<th>Expense Type
<th>Expense Area
<th>Supplier
<th>Transaction Number
<th>Amount
<th>VAT Registration Number
<th>Purchase Invoice Number
<table style="width: 100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<th>Description of the Department of Health
<th>Description of the Entity
<th>Date
<th>Expense Type
<th>Expense Area
<th>Supplier
<th>Transaction Number
<th>Amount
<th>VAT Registration Number
<th>Purchase Invoice Number
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 GDF Apparatus</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>880130</td>
<td>3,195.11 $ 48 FYY20R08</td>
<td>OROWB1E9W</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 Card of Drugs - Dispensing</td>
<td>LOCAL ENHANCED SERVICE</td>
<td>8806406</td>
<td>18,787.96 $ 48 FYY20R08</td>
<td>OROWB1E9O</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 ProcIng of BMDPdRmPdPCncta</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806406</td>
<td>3,559.20 $ 48 FYY20R08</td>
<td>OROWB1E9O</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 Prod From - Dispensing</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>71,554.75 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 ProcIng of BMDPdRmPdPCncta</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>17,281.67 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 Prod From - Dispensing</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>5,564.29 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 ProcIng of BMDPdRmPdPCncta</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>5,564.29 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 Prod From - Dispensing</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>5,564.29 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 ProcIng of BMDPdRmPdPCncta</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>5,564.29 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Ophthalmic CCO</td>
<td>5/30/2023</td>
<td>CBA-046 Prod From - Dispensing</td>
<td>PBC DEC18A1T3 CO-COMM8301N9W</td>
<td>8806407</td>
<td>5,564.29 $ 48 FYY20R08</td>
<td>OROWB1E9J</td>
</tr><tr><th colspan="9">Description of Health<br>MHS Ophthalmic CCO<br>Datum: 5/30/2023<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK: 7<br>BK:
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-5AM MPPS Comorbid Factor</td>
<td>PIC-DEJAT3TC CO-MOMB30M9WG</td>
<td>C6GD3 SUMBERY</td>
<td>100966A</td>
<td>1,086.64</td>
<td>ORWBI8171</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-5AM PEO 03lwr</td>
<td>PIC-DEJAT3TC CO-MOMB30M9WG</td>
<td>C6GD3 SUMBERY</td>
<td>100966A</td>
<td>452.65</td>
<td>ORWBI8171</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-5AM Prom Nutritional Rest</td>
<td>PIC-DEJAT3TC CO-MOMB30M9WG</td>
<td>C6GD3 SUMBERY</td>
<td>100966A</td>
<td>5,996.13</td>
<td>ORWBI8172</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-5AM PEO 03lwr</td>
<td>PIC-DEJAT3TC CO-MOMB30M9WG</td>
<td>C6GD3 SUMBERY</td>
<td>100966A</td>
<td>4,984.82</td>
<td>ORWBI8172</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-PMR Ratine Adjustment</td>
<td>PIC-DEJAT3TC CO-MOMB30M9WG</td>
<td>C6GD3 SUMBERY</td>
<td>100968I</td>
<td>-79.04</td>
<td>ORWBI8180</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-PMR Cardiac Risk</td>
<td>PIC-DEJAT3TC CO-MOMB30M9WG</td>
<td>C6GD3 SUMBERY</td>
<td>100968I</td>
<td>487.95</td>
<td>ORWBI8180</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient Care (OS)</td>
<td>11/06/2017</td>
<td>CAB-PMR Cardiac Risk - Accrued - 2nd Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 10th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year - 5th Year - 6th Year - 7th Year - 8th Year - 9th Year - 1st Year - 2nd Year - 3rd Year - 4th Year -
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM Prosthetic Hand</td>
<td>PIC-DELA16130-CO-MOMS3079MG<br>OR 69YON & FARTNDS<br>6909672<br>6,126.37<br>OR08161E84</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM SDF Aquapak<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 69YON & FARTNDS<br>6909672<br>6,126.37<br>OR08161E84</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM SBS Standardized Resin Acrylic<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>1,338.89<br>OR08161E85</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM SBS Standardized Resin Acrylic<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>7,655.85<br>OR08161E85</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM Global Frame<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>1,338.89<br>OR08161E85</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM Global Frame<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>-3,797.44<br>OR08161E85</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM Prosthetic Hand Retainer<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>6,126.37<br>OR08161E84</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM Prosthetic Hand Retainer<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>5,444.44<br>OR08161E84</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM SDF Aquapak<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>5,444.44<br>OR08161E84</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM SBS Standardized Resin Acrylic<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>-3,797.44<br>OR08161E85</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM SBS Standardized Resin Acrylic<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 1W ANDERSON & FARTNDS<br>6909674<br>-2,555.55<br>OR08161E85</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS DelfaPro 03C</td>
<td>5/8/2021</td>
<td>CAB-0AM Prosthetic Hand Retainer<br>PIC-DELA16130-CO-MOMS3079MG<br>OR 2W ANDERSON & FARTNDS<br>2x(69,29) = 138,584.44<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table style="width: 5%; height: auto;">
<thead style="text-align: center;">
<tr style="background-color: #fdd;">
<th>Description of Health</th>
<th>MHS DelfaPro 03C (CC)</th>
<th>Date (DD/MM/YYYY)</th>
<th>Description (Description of Health)</th>
<th>Description (Description of Health)</th></tr></thead>
<tbody style="text-align: center;">
<tr style="background-color: #fdd;">
<td>Description of Health</td> </tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color: #fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width: auto; border-collapse: collapse; margin-top: -5px; margin-bottom: -5px; padding-left: 5px; padding-right: 5px; border: none; display: inline-block; width: auto; height: auto; vertical-align: top;"></table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro 03C (CC))<table style="width:auto;border-collapse:border:none;display:inline-block;width:auto;height:auto;padding-left:none;padding-right:none;">...</table></tr>
<tr style="background-color:#fdd;">
<td>Description of Health (MHS DelfaPro
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>31/08/2021</td>
<td>Olauforsa Medical Clinical Offer</td>
<td>CMMU502695N-SCM-WM</td>
<td>GP UPKETC 173</td>
<td>10096321</td>
<td>20.000.32 RMBW3210</td>
<td>989P13L2R</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>Hawu Iro Iwe Fafu Trudc Gudradat Rukadet</td>
<td>AQ7UZ ZDMB45036MW</td>
<td>GREAT WESTERN HOSPITALS NRB FOUNDATION TRUST</td>
<td>989W2124</td>
<td>286.430.00</td>
<td>184973194</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Reusn Acousis</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>1,663.71</td>
<td>OROW81E8D0</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Reusn Acousis</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>1,585.48</td>
<td>OROW81E8D0</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Reusn Acousis</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>64.58.48</td>
<td>OROW81E8D0</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Reusn Acousis</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>76.47.</td>
<td>OROW81E8D0</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Reusn Acousis</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>5,779.34.</td>
<td>OROW81E8D0</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Natural Restt</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>7,249.59.</td>
<td>OROW81E8D0</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Olauforsa CCO</td>
<td>03/08/2021</td>
<td>KBM-SMS-DE5 Subsidiary Natural Restt</td>
<td>PRCDEGAT6TCD-CO-MOMS5036MW</td>
<td>HMTI SLKARYF</td>
<td>989W6866</td>
<td>7,249.59.</td>
<td>OROW81E8D0</td>
</tr><tr><th colspan="1">Description of Health<th colspan="1">MHS Olauforsa CCO<th colspan="1">31/08/2021<th colspan="1">Hawu Iro Iwe Fafu Trudc Gudradat Rukadet<th colspan="1">AQ7UZ ZDMB45036MW<th colspan="1">HMTI SLKARYF<th colspan="1">989W6866<th colspan="1">7,249.59<th colspan="1">OROW81E8D0<th colspan="1"></th></th></th></th></tr><tr><th colspan="1">Description of Health<th colspan="1">MHS Olauforsa CCO<th colspan="1">31/08/2021<th colspan="1">Hawu Iro Iwe Fafu Trudc Gudradat Rukadet<th colspan="1">AQ7UZ ZDMB45036MW<th colspan="1">HMTI SLKARYF<th colspan="1">989W6866<th colspan="1">7,249.59<th colspan="1">OROW81E8D0<th colspan="1"></th></th></th></th></tr><tr><th colspan="1">Description of Health<th colspan="1">MHS Olauforsa CCO<th colspan="1">31/08/2021<th colspan="1">Hawu Iro Iwe Fafu Trudc Gudradat Rukadet<th colspan="1">AQ7UZ ZDMB45036MW<th colspan="1">HMTI SLKARYF<th colspan="1">989W6866<th colspan="1">7,249.59<th colspan="1">OROW81E8D0<th colspan="1"></th></th></th></tr><tr><th colspan="1">Description of Health<th colspan="1">MHS Olauforsa CCO<th colspan="1">31/08/2021<th colspan="1">Hawu Iro Iwe Fafu Trudc Gudradat Rukadet<th colspan="1">AQ7UZ ZDMB45036MW<th colspan="1">HMTI SLKARYF<th colspan="1">989W6866<th colspan="1">7,249.59<th colspan="1">OROW81E8D0<th colspan="1"></th></th></th></tr><tr><th colspan="1">Description of Health<th colspan="1">MHS Olauforsa CCO<th colspan="1">31/08/2021<th colspan="1">Hawu Iro Iwe Fafu Trudc Gudradat Rukadet<th colspan="1">AQ7UZ ZDMB45036MW<th colspan="1">HMTI SLKARYF<th colspan="1">989W6866<th colspan="1">7,249.59<th colspan="1">OROW81E8D0<th colspan="1"></th></th></th></tr><tr><th colspan="1">Description of Health<th colspan="1">MHS Olauforsa CCO<th colspan="1">31/08/2021<th colspan="1">Hawu Iro Iwe Fafu Trudc Gudradat Rukadet<th colspan="1">AQ7UZ ZDMB45036MW<th colspan="1">HMTI SLKARYF<th colspan="1">989W6866<th colspan="1">7,249.59<th colspan="1">OROW81E8D0<th colspan="1"></th></th></th></tr><tr><th rowspan_="" colspan_=""><table><thead><tr><th>Description of Health<br/>MHS Olauforsa CCO<br/>3<br/></thead><tbody><tr><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></th><th>MHS Olauforsa CCO<br/>3<br/></thal></tbody></table></table></tr></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table>
<table>
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```
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<tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center; font-size:smaller; font-family:Arial; color:#ffffff;'><tbody style='text-align:center
```
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<thead>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-DE-03 Subscribed Reim Acctn Access</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LEYS HEALTH CENTRE</td>
<td>10096023</td>
<td>7,191.13</td>
<td>OROWB1E1T7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-Global Care</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LEYS HEALTH CENTRE</td>
<td>10096023</td>
<td>6,488.93</td>
<td>OROWB1E1T7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-MPS Prent Care Adjtment</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LEYS HEALTH CENTRE</td>
<td>10096023</td>
<td>2,082.72</td>
<td>OROWB1E1T7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-MPS Prent Natl Rent</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LEYS HEALTH CENTRE</td>
<td>10096023</td>
<td>2,583.87</td>
<td>OROWB1E1T7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-MPS Prent Natl Rent Adjtment</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LEYS HEALTH CENTRE</td>
<td>10096023</td>
<td>6,438.71</td>
<td>OROWB1E1T7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-MPS DSP Acptmnt Adjtment</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LEYS HEALTH CENTRE</td>
<td>10096023</td>
<td>7,798.49</td>
<td>OROWB1E1T7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CBA-046-MPS DSP Acptmnt Adjtment Fxbrorv</td>
<td>PNC DEU6A1YEO CD-COMM8307WNG</td>
<td>LONCFURGNS MEDICAL CENTER 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH FLOOR 5TH Floor LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURGNS MEDICAL CENTER LONCFURG NSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICAALCENTERL ONCFLRGNMSMEDICACENTERL O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL R G N M S M E D I A C A T E R O N C FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FL RGN MS ME DIACENTERO NC FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNME DICCENTERO NG FlRGNR GNMEDICENTEROG NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GN MDI ACENTE RO NRFlRG NR GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTERO GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GO NDICENTEРО GOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOND IC ENTEROG NOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC EN TER OGNOOND IC END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO END IGNE ORGO ENDIG NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR GODS NEOR 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ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeee
<table><thead><tr><th>Description of Health</th><th>MHS Outpatient CCQ<br/>CCQ<br/>CCQ<br/>CCQ<br/>CCQ<br/></th><th>CCQ<br/>CCQ<br/>CCQ<br/>CCQ<br/></th><th>CCQ<br/>CCQ<br/>CCQ<br/>CCQ<br/></th><th>CCQ<br/>CCQ<br/>CCQ<br/>CCQ<br/></th><th>CCQ<br/>CCQ<br/>CCQ<br/>CCQ<br/></th><th>CCQ<br/>CCQ<br/>CCQ<br
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS OutofArea CCI</td>
<td>31/08/2021</td>
<td>CAB-5AM Prior National Rent</td>
<td>PNCDELAGTO CO-CONMOS67WNG</td>
<td>NTEU38D 5 SURVARY</td>
<td>1009615</td>
<td>8,760.00</td>
<td>OORW61E129</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS OutofArea CCI</td>
<td>31/08/2021</td>
<td>CAB-5AM GDF Aquarina</td>
<td>PNCDELAGTO CO-CONMOS67WNG</td>
<td>NTEU38D 5 SURVARY</td>
<td>1009615</td>
<td>528.87</td>
<td>OORW61E129</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS OutofArea CCI</td>
<td>31/08/2021</td>
<td>CAB-5AM Cost of Drugs Dispaying</td>
<td>LUGENEMARCO SPMEVX</td>
<td>NTEU38D 5 SURVARY</td>
<td>1009615</td>
<td>29,876.29</td>
<td>OORW61E129</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS OutofArea CCI</td>
<td>31/08/2021</td>
<td>CAB-5AM Cost of Drugs Dispaying</td>
<td>LUGENEMARCO SPMEVX</td>
<td>NTEU38D 5 SURVARY</td>
<td>1009615</td>
<td>29,876.29</td>
<td>OORW61E129</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS OutofArea CCI</td>
<td>31/08/2021</td>
<td>CAB-5AM Cost of Drugs Dispaying</td>
<td>LOCAL ENHANCED SPMEVX</td>
<td>NTEU38D 5 SURVARY</td>
<td>1009615</td>
<td>32,383.43</td>
<td>OORW61E129</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS OutofArea CCI</td>
<td>31/08/2021</td>
<td>CAB-5AM Prior Freez DispayingYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYpYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYppYYpp YYPPYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYP YPP YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YYYY YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YPP YP P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P P PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PP PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB PB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBB BBBBB B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Care Care Physical Health (36)</td>
<td>CRC-ADULT ADULT FARMER</td>
<td>ORPHANAGE COUNTRY COUNCIL</td>
<td>3861280</td>
<td>403,538.07</td>
<td>981175764</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Confining Care Equipment</td>
<td>CRC-ADULT ADULT FARMER</td>
<td>ORPHANAGE COUNTRY COUNCIL</td>
<td>3861280</td>
<td>93,906.47</td>
<td>981175764</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Horse for Real Farm Trunk Non-Carrier</td>
<td>NEXA/NATIY</td>
<td>FULLMOUTH HORTALYNA TRUST</td>
<td>38648919</td>
<td>23,588.19</td>
<td>986113</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Horse for Real Farm Trunk Non-Carrier</td>
<td>NEXA/NATIY</td>
<td>FULLMOUTH HORTALYNA TRUST</td>
<td>38648919</td>
<td>23,588.19</td>
<td>986113</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Oulafarine Medical Independent Sector</td>
<td>URBANY CARE</td>
<td>PFRINCIAL MEDICAL</td>
<td>38656062</td>
<td>18,818.91</td>
<td>982080</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Oulafarine Medical Independent Sector</td>
<td>URBANY CARE</td>
<td>PFRINCIAL MEDICAL</td>
<td>38656062</td>
<td>46,538.43</td>
<td>982080</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Oulafarine Medical Independent Sector</td>
<td>URBANY CARE</td>
<td>PFRINCIAL MEDICAL</td>
<td>38656062</td>
<td>46,538.43</td>
<td>982080</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Oulafarine CCI</td>
<td>5/30/2021</td>
<td>Oulafarine Medical Independent Sector</td>
<td>URBANY CARE</td>
<td>PFRINCIAL MEDICAL</td>
<td>38656062</td>
<td>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-4,543.84<br>-<page_number>17/17/2021 1:17 AM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9:17 PM - 9: <page_number>2/2/2022 at <time_ago> </time_ago></page_number></page_number></table>
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<tbody><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>AUTOMATED MEDICAL CENTER<th>DWYKJNTHM FUNDATION TRUST<th>3666666<th>$<page_number>6/6/2022 at <time_ago></time_ago></page_number></th><th>RQDQHREXO<th></th></tr><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>AUTOMATED MEDICAL CENTER<th>DWYKJNTHM FUNDATION TRUST<th>3666666<th>$<page_number>6/6/2022 at <time_ago></time_ago></page_number></th><th>RQDQHREXO<th></th></tr><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>CAB-MSD OTS-Limited Person-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-ths-than <page_number></page_number></th><th>RQDQHREXO<th></th></tr><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>CAB-MSD OTS-Limited Persons th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths th-ths than <page_number></page_number></th><th>RQDQHREXO<th></th></tr><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>CAB-MSD OTS-Limited Persons th-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s-s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'</th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'<th>'
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<tbody><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>CAB-MSD OTS-Limited Persons th-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t-t<t>t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t>t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<t<<t><><><><><><><><><><><><><><><><><><><><><><><><><><><><><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t><t></table>
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<tbody><tr><th>Description of Health<th>MHS Oulafarine CCI<th>5/30/202<th>Oulafarine Medical Independent Sector<th>CAB-MSD OTS-Limited Persons t-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-h-</table>
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<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>Description of Health:</td
<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>MHS Oulafarine CCI:</td
<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>5/30/202:</td
<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>Oulafarine Medical Independent Sector:</td
<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>CAB-MSD OTS-Limited Persons t-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k-k<k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k>k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<k<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c<c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c>c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=c=ccccc cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.cc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.ccc.<c=""><c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""=""=""></c="">c=""
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<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>Description of Health:</td
<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>MHS Oulafarine CCI:</td
<td style='padding-right:.5em;padding-left:.5em;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;'>5/30/20:</td
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<tr class='row' id='<page_number>'
<span class='col-md-auto col-sm-auto col-xs-auto'>Description of Health:</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>MHS Oulafarine CCI:</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>5/3...</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>Oulafarine Medical Independent Sector:</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-l-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-m-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-n-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-q-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-r-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-u-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-v-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-w-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-y-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-b-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-c-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-d-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-e-</span>
<span class='col-md-auto col-sm-auto col-xs-auto'>CAB-MSD OTS-Limited Persons t-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-f-</span>
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM Global Care</td>
<td>PIC-DE6A1YED-CO-MOMS3078NG</td>
<td>ST CUMENTS SURGERY DISORS</td>
<td>10096L83</td>
<td>32,808.51</td>
<td>OOWR61E493</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM NPMI Coronarian Factor</td>
<td>PIC-DE6A1YED-CO-MOMS3078NG</td>
<td>ST CUMENTS SURGERY DISORS</td>
<td>10096L83</td>
<td>2,976.22</td>
<td>OOWR61E493</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM Prior Nutritional Need</td>
<td>PIC-DE6A1YED-CO-MOMS3078NG</td>
<td>ST CUMENTS SURGERY DISORS</td>
<td>10096L83</td>
<td>2,081.65</td>
<td>OOWR61E493</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM 3DS Extended Results Accesso</td>
<td>PIC-DE6A1YED-CO-MOMS3078NG</td>
<td>SUMMER TOWN HALL CHTNYC</td>
<td>10096L83</td>
<td>4,943.45</td>
<td>OOWR61E497</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM Global Care</td>
<td>PIC-DE6A1YED-CO-MOMS3078NG</td>
<td>SUMMER TOWN HALL CHTNYC</td>
<td>10096L83</td>
<td>2,576.94</td>
<td>OOWR61E497</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM Prior Nutritional Need</td>
<td>PIC-DE6A1YED-CO-MOMS3078NG</td>
<td>SUMMER TOWN HALL CHTNYC</td>
<td>10096L83</td>
<td>9,934.58</td>
<td>OOWR61E497</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Outpatient CCO</td>
<td>5/30/2021</td>
<td>CAB-0AM Prior Nutritional Need - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Rescuer - 1st Resuc
<img>A medical record page with various codes and descriptions.</img></table>
<table border="1">
<thead><tr><th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM Global Care<th>PIC-DE6A<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></th></table>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM NPMI Coronarian Factor<th>PIC-DE6A<br>YED-CO-MOMS3078NG<th>ST CUMENTS SURGERY DISORS<th>99999999999999999999999999999999999999999999999999999999999<br>THMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHMMTHHHM<br>HMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMHMH MH<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br>H<br<H
<img>A medical record page with various codes and descriptions.</img>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM Prior Nutritional Need<th>PIC-DE6A-YED-CO-MOMS3078NG<th>ST CUMENTS SURGERY DISORS<th>888888888888888888888888888888888888888888888888888888888888888888888888888
<img>A medical record page with various codes and descriptions.</img>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM GDF Reptarier<th>PIC-DE6A-YED-CO-MOMS307
<img>A medical record page with various codes and descriptions.</img>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM GDF Reptarier<th>PIC-DE6A-YED-CO-MOMS3
<img>A medical record page with various codes and descriptions.</img>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM GP Prior Nutritional Need<th>PIC-DE6A-YED-CO-MOMS3
<img>A medical record page with various codes and descriptions.</img>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM GDF Reptarier<th>PIC-DE6A-YED-CO-MOMS3
<img>A medical record page with various codes and descriptions.</img>
<table border="1">
<thead>
<tr>
<th>Description of Health<th>MHS Outpatient CCO<th>5/30/202<th>CAB-0AM GDF Reptarier-th<font style="color:red;">Note: This table contains sensitive health information and may not be suitable for public display.</font>
<table>
<thead>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 Card of Drugs: Disposing</td>
<td>LOCAL ENHANCED SERVICES</td>
<td>WERNERH MEDICAL PRACTICE WITNESS</td>
<td>20190675</td>
<td>238,764.76</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 Procapsule: Medical Devices: Containers</td>
<td>PBC DELEGATED CO-COMMRS030MN9</td>
<td>WERNERH MEDICAL PRACTICE WITNESS</td>
<td>00000075</td>
<td>1,468.91</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 Card of Drugs: Disposing</td>
<td>LOCAL ENHANCED SERVICES</td>
<td>WERNERH MEDICAL PRACTICE WITNESS</td>
<td>00000075</td>
<td>61,128.83</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 Procapsule: Medical Devices: Containers</td>
<td>PBC DELEGATED CO-COMMRS030MN9</td>
<td>WERNERH MEDICAL PRACTICE WITNESS</td>
<td>00000075</td>
<td>1,338.94</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 Procapsule: Medical Devices: Containers: PolyP</td>
<td>LOCAL ENHANCED SERVICES</td>
<td>WERNERH MEDICAL PRACTICE WITNESS</td>
<td>00000075</td>
<td>1,668.91</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 3D Sbstedated Resin Acrylics</td>
<td>PBC DELEGATED CO-COMMRS030MN9</td>
<td>WERNERH SURGERY BARBERIYI</td>
<td>08939664</td>
<td>1,231.54</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 3D Sbstedated Resin Acrylics: PolyP</td>
<td>PBC DELEGATED CO-COMMRS030MN9</td>
<td>WERNERH SURGERY BARBERIYI</td>
<td>08939664</td>
<td>5,498.81</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 NPMs Contraindicated Factor: PolyP (Polypropylene)</td>
<td>PBC DELEGATED CO-COMMRS030MN9</td>
<td>WERNERH SURGERY BARBERIYI</td>
<td>08939664</td>
<td>996.21</td>
<td>OOWB1E14A7</td>
</tr>
<tr>
<td>Description of Health</td>
<td>MHS Defibrillator CCI</td>
<td>03/08/2017</td>
<td>CAB-5M5 NPMs Non-Natural Resin: PolyP (Polypropylene)</td>
<td>PBC DELEGATED CO-COMMRS030MN9</td>
<td>WERNERH SURGERY BARBERIYI</td>
<td>08939664</td>
<td>6,984.87</td>
<td>OOWB1E14A7</td>
</tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health<br>Description of Health...</th><th>MHS Defibrillator CCI (C)</th><th>23/12/2022 (C)</th><th>CAB-5M5 3D Sbstedated Resin Acrylics: PolyP (Polypropylene)</th><th>PBC DELEGATED CO-COMMRSO3O MN9 (C)</th><th>WOODLANS SURGERY BARBERIYI (C)</th><th>23/12/2022 (C)</th><th>23/12/2022 (C)</th><th>23/12/2022 (C)</th><th>WOODLANS SURGERY BARBERIYI (C)</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr><tr><th colspan="9">WOODLANS MEDICAL CENTRE, CENTRC:</th></tr></table>
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<th rowspan='2'>MHS Defibrillator CCI (C)</<br>(C)</br>
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<watermark style="background-color: #fddcda; border-radius: 5px; padding: 5px; font-size: 1em;">Woodlands Medical Centre - Centrc - 6/6/24 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:45 PM - 6/6/4 - 4:
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HM REVENUE & CUSTOMS
GENDER PAY GAP 2010
Reward and Policy Team The People Function **Gender Pay Gap**
When the Equality Act 2010 came into force, it contained a voluntary requirement under Section 78, for employers to release gender pay gap information. We have calculated the gender pay gap for HMRC by expressing women's pay as a percentage of men's pay. This shows the overall gender pay gap for HMRC is 22% in favour of men.
In common with most equal pay reviews, we have adopted a practical approach to calculating pay gap by expressing gender pay as a percentage of the comparator's pay.
The table below shows the median salary of women, calculated as a percentage of men's median salary. The percentage of the gender pay gap is 78%, which means women are paid 78% of the salary received by men.
**Table 1: Overall Gender Pay Gap**
| Grades | Median Salary Women | Median Salary Men | Index (Men = 100%) | |---|---|---|---| | AA - G6 | 19,474 | 24,821 | 78% |
This straight comparison of women's and men's pay in HMRC does not provide a meaningful comparison however, as it does not take into account the HMRC grade structure, the different ratio of women and men within that grade structure and the different national and London pay scales for each grade. When these elements are taken into account and like for like comparisons are made, then the gender pay gap, where it exists, is considerably less than 22%.
**Gender pay gap by grade and pay scale area**
We have produced two tables to make a more meaningful gender pay comparison by comparing the median gender pay by grade and London and national pay areas. As with the overall gender pay gap, we have shown women's pay as a percentage of men's pay. Where the percentage rate for women is less than 100%, men have the lead while over 100% means that women have the lead. To analyse the results, we have used the Equality and Human Rights Commission's definition of a significant pay gap, which is a gap of 5% or more, or patterns of differences of 3% to decide where further investigation and explanation is needed.
**Table 2 compares women's and men's London median pay. It shows there are no gender pay differences from Administrative Assistant to Senior Officer grades. Only at Grade 7 and Grade 6 are there differences. In both cases length of service is probably a factor because when this is taken into account, there are no significant differences between women's and men's salaries – see table 4.**
<table>
<thead>
<tr>
<th>Grade</th>
<th>Women</th>
<th>Men</th>
<th>Index (Men = 100%)</th>
</tr>
</thead>
<tbody>
<tr>
<td>Admin Assistant</td>
<td>19,965</td>
<td>19,965</td>
<td>100%</td>
</tr>
<tr>
<td>Assistant Officer</td>
<td>23,892</td>
<td>23,892</td>
<td>100%</td>
</tr>
<tr>
<td>Officer</td>
<td>30,331</td>
<td>30,331</td>
<td>100%</td>
</tr>
<tr>
<td>Higher Officer</td>
<td>37,105</td>
<td>37,105</td>
<td>100%</td>
</tr>
<tr>
<td>Senior Officer</td>
<td>42,856</td>
<td>42,856</td>
<td>100%</td>
</tr>
<tr>
<td>Grade 7</td>
<td>54,921</td>
<td>56,407</td>
<td>97%</td>
</tr>
<tr>
<td>Grade 6</td>
<td>70,189</td>
<td>74,209</td>
<td>95%</td>
</tr>
</tbody>
</table>
Table 3 compares women's and men's national median pay. It shows there are small gender pay differences at Assistant Officer and Higher Officer grade. As with London there are also differences at Grade 7 and Grade 6 but once again length of service is probably a factor because when this is taken into account there are no significant differences between women's and men's salaries - see table 4.
**Table 3: Median National salaries by grade and gender**
| Grade | Women | Men | Index (Men = 100%) | |---|---|---|---| | Admin Assistant | 15,727 | 15,727 | 100% | | Assistant Officer | 19,474 | 18,851 | 103% | | Officer | 26,227 | 26,227 | 100% | | Higher Officer | 32,303 | 32,622 | 99% | | Senior Officer | 39,643 | 39,643 | 100% | | Grade 7 | 49,154 | 51,426 | 96% | | Grade 6 | 63,220 | 66,657 | 95% |
**Length of service**
Table 4 below shows the median women's salaries as a percentage of men's salaries after length of service at Grade 7 and Grade 6 has been taken into account. They show that once length of service has been taken into account women's and men's salaries do not differ significantly.
**Table 4: Median salary comparison by length of service**
<table>
<thead>
<tr>
<th colspan="5">Median women's salary as % of men's salary</th>
<th colspan="5">Number of staff</th>
</tr>
<tr>
<th>Years of Service</th>
<th>G7 London</th>
<th>G7 National</th>
<th>G6 London</th>
<th>G6 National</th>
<th>G7 London</th>
<th>G7 National</th>
<th>G6 London</th>
<th>G6 National</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>100%</td>
<td>100%</td>
<td>100%</td>
<td>96%</td>
<td>55</td>
<td>146</td>
<td>48</td>
<td>40</td>
<td></td>
</tr>
<tr>
<td>1</td>
<td>100%</td>
<td>100%</td>
<td>99%</td>
<td>102%</td>
<td>147</td>
<td>218</td>
<td>61</td>
<td>89</td>
<td></td>
</tr>
<tr>
<td>2</td>
<td>100%</td>
<td>100%</td>
<td>99%</td>
<td>104%</td>
<td>91</td>
<td>179</td>
<td>49</td>
<td>70</td>
<td></td>
</tr>
<tr>
<td>3</td>
<td>101%</td>
<td>99%</td>
<td>97%</td>
<td>98%</td>
<td>63</td>
<td>138</td>
<td>30</td>
<td>57</td>
<td></td>
</tr>
<tr>
<td>4</td>
<td>100%</td>
<td>99%</td>
<td>98%</td>
<td>99%</td>
<td>83</td>
<td>144</td>
<td>48</td>
<td>47</td>
<td></td>
</tr>
<tr>
<td>5</td>
<td>100%</td>
<td>100%</td>
<td>101%</td>
<td>100%</td>
<td>54</td>
<td>111</td>
<td>28</td>
<td>37</td>
<td></td>
</tr>
<tr>
<td>6</td>
<td>100%</td>
<td>100%</td>
<td>101%</td>
<td>100%</td>
<td>54</td>
<td>85</td>
<td>41</td>
<td>56</td>
<td></td>
</tr>
<tr>
<td>7</td>
<td>100%</td>
<td>102%</td>
<td>99%</td>
<td>100%</td>
<td>62</td>
<td>96</td>
<td>37</td>
<td>51</td>
<td></td>
</tr>
<tr>
<td>8</td>
<td>100%</td>
<td>100%</td>
<td>100%</td>
<td>100%</td>
<td>33</td>
<td>84</td>
<td>46</td>
<td>42</td>
<td></td>
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Disclosure ref: 26 Sent: 1<sup>st</sup> May 2020
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**Freedom of Information Act 2000 Request**
**Information into financial irregularities referred to by Lancashire Constabulary**
**Request**
*In September 2013, Lancashire County Council referred to Lancashire Constabulary some allegations of financial irregularity.*
*An investigation was launched and following a complex and lengthy enquiry a file of evidence was submitted to the Crown Prosecution Service for consideration.*
*The people involved have been bailed numerous times.*
*Under the Freedom of Information Act, I would like to find out the total amount spent by the Crown Prosecution Service on this case.*
**Response**
The Crown Prosecution Service (CPS) Specialist Fraud Division (SFD) Leeds, has confirmed that the total costs recorded in the matter referred to in your request thus far are £177,048.57.
**Information Management Unit** 020 3357 0788 IMU@cps.gov.uk
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Crown Prosecution Service, Information Access Team, Floor 8, 102 Petty France, London SW1H 9AJ United Kingdom www.cps.gov.uk
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<img>National Statistics logo</img> **Ministry of Justice**
Published 9 November 2017
# Mortgage and Landlord Possession Statistics in England and Wales, July to September 2017 (Provisional)
## Main points
Since July to September 2016, the number of mortgage possession claims and orders made in county courts has increased, and warrants and repossessions continue to fall. All landlord possession actions continue to decrease in line with the long-term trend.
- **Mortgage possession:**
- claims and orders have risen again (compared to the same quarter last year), a continuation of the increase seen since October to December 2016, but figures remain at a similar level to the past two years.
- **Mortgage average time (from claim to possession action) has decreased**
- Over the last two years, time from claim to repossession has remained variable between 107-141 weeks.
- **All stages of landlord possession actions have decreased**
- Landlord possession claims, orders for possession, warrants of possession and repossessions by county court bailiffs have decreased, continuing the long-term downward trend seen since April to June 2014, albeit a slow down on the decrease seen in the initial stages.
- **Mortgage possession claims and repossession rates remain at low levels**
- The City of London had the highest rate of mortgage possession claims at 59 per 100,000 household, but this corresponded to just three properties. The second highest rate was in Middlesbrough with 44 per 100,000 household. Mortage repossession rates are highest in Burnley with 29 per 100,000 households.
- **Landlord possession claims and repossessions highest in London**
- The highest rates of landlord possession actions are concentrated in London (9 of 10 highest claim rates and 16 of 20 highest repossession rates).
This publication provides mortgage and landlord possession statistics in July to September 2017, compared to the same quarter the previous year. A data visualisation tool accompanies this bulletin and can be accessed [here](#). For technical detail, please refer to the accompanying supporting document.
For feedback related to the content of this publication, please contact us at CAJS@justice.gsi.gov.uk
<img>Map icon</img> The City of London had the highest rate of mortgage possession claims at 59 per 100,000 household, but this corresponded to just three properties. The second highest rate was in Middlesbrough with 44 per 100,000 household. Mortage repossession rates are highest in Burnley with 29 per 100,000 households.
<img>Map icon</img> The highest rates of landlord possession actions are concentrated in London (9 of 10 highest claim rates and 16 of 20 highest repossession rates). **1. Overview of Mortgage Possession**
Claims and order possession actions have increased for the fourth quarter Mortgage possession claims (4,757) and orders for possession (3,376), have both increased by 6% and 26% respectively (compared to the same quarter last year). However, while these figures are again an increase against the previous year, they remain broadly in line with the recent trend, seen since April to June 2015.
Despite decreases in warrants and reposessions against the previous year, the magnitude of the decreases are small, indicating that volumes may be stabilising.
**Figure 1:** Mortgage possession actions (actual and seasonally adjusted) in the county courts of England and Wales, July 2012 to September 2017 (Source: Table 10a)
<img>
A line graph showing mortgage possession actions over time.
The y-axis represents values ranging from 0 to 20,000.
The x-axis shows dates from 2012 Q3 to 2017 Q3.
There are four lines representing different types of actions:
- Claims: A line starting at around 18,000 in 2012 Q3, fluctuating between approximately 16,000 and 18,000 until 2014 Q3, then decreasing to around 14,000 by 2015 Q3 and further decreasing to around 12,000 by 2016 Q3. It then increases slightly to around 14,000 by 2017 Q3.
- Orders: A line starting at around 16,000 in 2012 Q3, fluctuating between approximately 14,000 and 16,000 until 2014 Q3, then decreasing to around 12,000 by 2015 Q3 and further decreasing to around 8,000 by 2016 Q3. It then increases slightly to around 8,500 by 2017 Q3.
- Warrants: A line starting at around 14,500 in 2012 Q3, fluctuating between approximately 14,500 and 16,500 until 2014 Q3, then decreasing to around 14,500 by 2015 Q3 and further decreasing to around 8,500 by 2016 Q3. It then increases slightly to around 9,500 by 2017 Q3.
- Repossessions: A line starting at around 9,500 in 2012 Q3, fluctuating between approximately 9,500 and 14,500 until 2014 Q3, then decreasing to around 9,500 by 2015 Q3 and further decreasing to around 7,500 by 2016 Q3. It then increases slightly to around 8,500 by 2017 Q3.
Legend:
Actual
Seasonally Adjusted
</img>
Mortgage possession claims fell from a peak of 26,419 in April to June 2009 before stabilising in April to June 2015 (4,849). In July to September 2017, claims for possession increased by 6% to 4,757 claims (compared to the same quarter in 2016).
Orders for possession followed a similar trend to mortgage claims, falling from a peak of 23,850 orders in July to September 2009, but continuing to decline to 2,685 orders at July to September 2016, the lowest recorded level of the series. Between this point and the most recent quarter, orders have increased by 26% to 3,376. However, this remains broadly in line with the volume seen at April to June 2015 of 3,426. Orders overall have increased, with suspended orders up 33% and outright orders up by approximately one third.
The South East had the greatest rise of all regions against the previous year.
The fall in the number of mortgage possession actions since 2008 coincides with lower interest rates, a proactive approach from lenders in managing consumers in financial difficulties and other interventions such as the Mortgage Rescue Scheme and the introduction of the Mortgage Pre-Action Protocol. Additionally, the downward trend seen in recent years mirrors that seen in the proportion of owner-occupiers.
\<page_number>2\</page_number> **2. Mortgage Possession Action Timeliness**
Average time between claims being issued to repossession has decreased. The average time for *orders* to be *issued* has continued to slowly fall. For issues of *warrants*, the time taken has increased slightly.
Over the last two years, time from claim to repossession has remained variable between 107-141 weeks. Compared to July to September 2016, this has *decreased* to 111.2 weeks from 140.7 weeks.
Since the same quarter the previous year, *fewer claims progressed to orders, warrants and reposessions* both within 6 months of the claim date and over a 5 year period.
**Figure 2: Timeliness of mortgage possession actions, July 2012 to September 2017 (Source: Table 3a)**
Number of weeks taken from initial Mortgage claim to…
<table>
<thead>
<tr>
<td>Orders</td>
<td>Warrants</td>
<td>Repossession</td>
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</thead>
<tbody>
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<td>The average no. of weeks between claims and court orders decreased slightly</td>
<td>The average no. of weeks between claims and warrants has increased slightly</td>
<td>The average no. of weeks between claims and reposessions has decreased</td>
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<td>140.0<br>120.0<br>100.0<br>80.0<br>60.0<br>40.0<br>20.0</td>
<td>140.0<br>120.0<br>100.0<br>80.0<br>60.0<br>40.0<br>20.0</td>
<td>140.0<br>128.0<br>118.0<br>118.0<br>88.0<br>68.0<br>48.0<br>28.8</td>
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<td><img>A downward arrow indicating a decrease.</img></td>
<td><img>A downward arrow indicating a slight increase.</img></td>
<td><img>A downward arrow indicating a decrease.</img></td>
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<tr>
<td colspan="3">Claims to orders have decreased from 15.2 (Jul-Sep 2016) to 13.9 weeks (Jul-Sep 2017)</td>
</tr>
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<td colspan="3">Claims to warrants has slightly increased from 83.2 (Jul-Sep 2016) to 83.8 weeks (Jul-Sep 2017)</td>
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<td colspan="3">Claims to reposessions have decreased from 140.7 (Jul-Sep 2016) to 111.2 (Jul-Sep 2017)</td>
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<td colspan="3">392/QD 29B/QD 29B/QD 29B/QD 29B/QD 29B/QD</td>
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<td colspan="3">392/QD 29B/QD 29B/QD 29B/QD 29B/QD 29B/QD</td>
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<td colspan="3">392/QD 29B/QD 29B/QD 29B/QD 29B/QD 29B/QD</td>
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<td colspan="3">392/QD 29B/QD 29B/QD 29B/QD 29B/QD 29B/QD</td>
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<td colspan="3">392/QD 29B/QD 29B/QD 29B/QD 29B/QD 29B/QD</td>
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<td colspan="3">392/QD 29B/QD 29B/QD 29B/QD 29B/QD 29B/QD</td>
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Figure 3: Percentage (cumulative) of mortgage claims that reach each stage (by number of quarters since claim was submitted) (Source: Table 3b)
| | Proportion of claims to reach each stage | |---|---| | | In initial 6 months (first two quarters) | 5 year period | | Jul-Sep 2016 | Jul-Sep 2017 | Jul-Sep 2016 | Jul-Sep 2017 | | Orders | 61% <img>up arrow</img> | 58% <img>up arrow</img> | 67% <img>up arrow</img> | 64% <img>up arrow</img> | | Warrants | 15% <img>down arrow</img> | 14% <img>down arrow</img> | 35% <img>down arrow</img> | 32% <img>down arrow</img> | | Repossessions | 6% <img>down arrow</img> | 5% <img>down arrow</img> | 19% <img>down arrow</img> | 17% <img>down arrow</img> |
Over the last 5 years, 64% of claims received orders of repossession; 32% received warrants, and 17% ended in repossession (by county court bailiff), an overall decrease in the proportion of cases reaching each stage compared to the previous 5-year period.
Overall fewer claims progressed to orders, warrants and reposessions both within 6 months of the claim date and over a 5 year period.
\<page_number>4\</page_number> 3. Overview of Landlord Possession
All stages of landlord possession actions have decreased Landlord possession claims (34,172), orders for possession (25,266), warrants of possession (16,935) and repossession by county court bailiffs (8,806) decreased by 1%, 3%, 9% and 10% respectively (compared to the same quarter last year: Jul-Sep 2016). This is in line with the downward trend seen since April to June 2014, albeit a slow down on the decrease for initial stages and possibly indicating a change in trend for claims from 2016 Q4.
Figure 4: Landlord possession actions (actual and seasonally adjusted) in the county courts of England and Wales, July 2012 to September 2017 (Source: Table 10b)
<img>
A line chart showing landlord possession actions over time.
The y-axis ranges from 5,000 to 50,000.
The x-axis shows time periods from 2012-2Q to 2017-2Q.
There are four sub-charts:
Claims: A line chart showing claims over time.
Orders: A line chart showing orders over time.
Warrants: A line chart showing warrants over time.
Repossession: A line chart showing repossession by county court bailiffs over time.
Each sub-chart has a legend indicating actual and seasonally adjusted values.
</img>
Seasonally adjusted figures for possession claims and orders also show a fall in the scale of the decrease, possibly suggesting that volumes are plateauing.
The majority (62%) (21,179) of landlord possession claims were social landlord claims, 22% (7,621) were accelerated claims and 16% (5,372) were private landlord claims.
Whilst overall orders have fallen, suspended orders have increased 2% on the previous year. Since July to September 2016, there has been a decrease in suspended orders within the London and North West regions, but an increase or stabilisation in all other regions. The largest increase in suspended orders was seen in the South West.
\<page_number>5\</page_number> **4. Landlord Possession Timeliness**
Time taken for Landlord possession claims to repossession has decreased
Timeliness for landlord possession actions has remained fairly stable across the last 5 years, with slight fluctuations in time from claim to warrant and repossession in the most recent quarters. However all are stable fluctuations around historic levels; 11 weeks (orders), 37 weeks (warrants) and 43 weeks (reposessions).
**Figure 5: Timeliness of landlord possession actions, July 2012 to September 2017** (Source: Table 5a)
Number of weeks taken from initial landlord claim to … <img>A line graph showing the number of weeks between claims and court orders, warrants, and repossession. The x-axis shows quarters from 2012 Q1 to 2017 Q3. The y-axis shows the number of weeks between claims and court orders, warrants, and repossession. The lines show that the average number of weeks between claims and court orders, warrants, and repossession have increased slightly over time.</img>
The average no of weeks between claims and court orders stable, although with a slight increase
Claims to orders have increased slightly from 11.3 weeks (Jul-Sep 2016) to 11.4 weeks (Jul-Sep 2017)
The average no of weeks between claims and warrants increased to around 38 weeks
Claims to warrants have increased from 36.7 weeks (Jul-Sep 2016) to 37.8 (Jul-Sep 2017)
The average no of weeks between claims and repossession has decreased to 41 weeks
Claims to reposessions have decreased from 42.6 weeks (Jul-Sep 2016) to 41.2 (Jul-Sep 2017)
**Figure 6: Percentage (cumulative) of landlord claims that reach each stage (by number of quarters since claim was submitted)** (Source: Table 6b)
Proportion of claims to reach each stage
<table>
<thead>
<tr>
<td></td>
<td>In initial 6 months (first two quarters)</td>
<td>5 year period</td>
</tr>
</thead>
<tbody>
<tr>
<td>Orders</td>
<td>67%</td>
<td>68%</td>
<td>74%</td>
<td>75%</td>
</tr>
<tr>
<td>Warrants</td>
<td>23%</td>
<td>24%</td>
<td>40%</td>
<td>40%</td>
</tr>
<tr>
<td>Repossession</td>
<td>12%</td>
<td>13%</td>
<td>24%</td>
<td>25%</td>
</tr>
</tbody>
</table>
Over the last 5 years, 75% of claims progressed to orders of repossession; 40% to warrants, and a quarter ended in repossession.
The proportion of landlord possession claims reaching each possession stage increased slightly in July to September 2017 compared with the same period last year. In the initial 6 months from the date of claim. Fewer absolute cases are reaching each stage (reflecting the decrease in overall case volumes), however a larger proportion of these are reaching the subsequent stage. Over the 5 year period, there was an increase for orders and repossession, but warrants remained stable.
\<page_number>6\</page_number> **5. Regional Possession Claims**
The City of London had the highest rate of **mortgage** possession claims at 59 per 100,000 households, but this corresponded to just three properties due to City of London’s small population. The second highest rates was in **Middlesbrough** (44 per 100,000 households).
**Landlord** possession claim rates were highly concentrated in **London**, with 9 of the 10 highest rates. **Barking and Dagenham** had the highest rate (443 per 100,000 households).
Figure 7: Possession Claims per 100,000 households, July to September 2017 (Source: map.csv; see supporting guide)
<img>A map of England showing possession claims by local authority. The legend indicates ranges from 1 to 368 claims per 100,000 households.</img>
**Mortgage**
The number of mortgage possession claims per 100,000 households by local authority ranged from 2 in Cambridge, to 59 in City of London.
Of the top ten highest rates, three (Oldham, Rossendale and Halton) are in the North West.
The Isles of Scilly, Ryedale, Rutland and Tewkesbury had no mortgage possession claims.
<img>A map of England highlighting the Isle of Scilly, Ryedale, Rutland and Tewkesbury.</img>
**Landlord**
Suffolk Coastal showed the lowest rate of landlord possession claims (18 per 100,000 households) whilst Barking and Dagenham showed the highest (443 per 100,000 households).
The Isles of Scilly had no landlord possession claims.
**London boroughs** account for 9 of the 10 local authorities with the **highest rate** of landlord claims.
Outside the London boroughs, **Halton** was ranked 8th out of the top 10 highest rates, with 319 per 100,000 households.
\<page_number>7\</page_number> 6. Regional Repossessions (by County Court Bailiffs)
Mortgage reposessions are highest in Burnley with 29 per 100,000 households. Landlord reposessions are concentrated in London (16 of the 20 highest rates) and Slough, Bournemouth, Luton and Northampton.
Figure 8: Repossession Claims per 100,000 households, July to September 2017 (Source: map.csv; see supporting guide)
**Mortgage**
Burnley had the highest number of mortgage reposessions by county court bailiffs (29 per 100,000 households) in July to September 2017. No reposessions by county court bailiffs were recorded during this period in 77 local authorities.
<img>Mortgage Repossessions per 100,000 households</img> <img>Landlord Repossessions per 100,000 households</img>
**Landlord** London local authorities account for 16 of the 20 boroughs with the highest rate of landlord reposessions, the highest being in Newham, at 180 per 100,000 households, followed by Barking and Dagenham and Brent at 150 and 149 per 100,000 households respectively.
There were five local authorities with no landlord reposessions by county court bailiffs in July to September 2017 (Isles of Scilly, Ryedale, Hart, City of London and Hambleton).
\<page_number>8\</page_number> **Further information**
The statistics in the latest quarter are provisional and revisions may be made when the next edition of this bulletin is published and when the figures are reconciled at the end of the year. If revisions are needed in subsequent years, these will be annotated in the tables.
**Accompanying files** As well as this bulletin, the following products are published as part of this release:
- A supporting guide providing further information on how the data is collected and processed, including a guide to the csv files, as well as legislation relevant to mortgage possessions and background information.
- A set of overview tables, covering key sections of this bulletin.
- CSV files of the map data and the figures by local authority and county court. A data visualisation tool available at: public.tableau.com/profile/moj_analysis#//
**National Statistics status** National Statistics status means that official statistics meet the highest standards of trustworthiness, quality and public value.
All official statistics should comply with all aspects of the Code of Practice for Official Statistics. They are awarded National Statistics status following an assessment by the Authority’s regulatory arm. The Authority considers whether the statistics meet the highest standards of Code compliance, including the value they add to public decisions and debate.
It is the Ministry of Justice’s responsibility to maintain compliance with the standards expected for National Statistics. If we become concerned about whether these statistics are still meeting the appropriate standards, we will discuss any concerns with the Authority promptly. National Statistics status can be removed at any point when the highest standards are not maintained, and reinstated when standards are restored.
**Contact** Queries about these statistics should be directed to the Justice Statistics Analytical Services, in the Ministry of Justice: <watermark>Bridgette Miles - email: CAJS@justice.gsi.gov.uk</watermark> Press enquiries should be directed to the Ministry of Justice press office: <watermark>Simon Barrett - email: simon.barrett@justice.gsi.gov.uk</watermark> And queries on the wider policy implications of these statistics should be directed to the Department for Communities and Local Government's press office: <watermark>Philippa Silverman - email: Philippa.Silverman@communities.gsi.gov.uk</watermark>
**Next update: 8 February 2017**
URL: www.gov.uk/government/statistics/mortgage-and-landlord-possession-statistics-july-to-september-2017
© Crown copyright Produced by the Ministry of Justice
Alternative formats are available on request from statistics.enquiries@justice.gsi.gov.uk
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# Section 17 Notice under the Freedom of Information Act 2000
## WITHHOLDING INFORMATION
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**Section 22(1) states that information intended for future publication is exempt information if:** (a) the information is held by the public authority with a view to its publication, by the authority or any other person, at some future date (whether determined or not), (b) the information was already held with a view to such publication at the time when the request for information was made, and (c) it is reasonable in all the circumstances that the information should be withheld from disclosure until the date of publication Section 22 is a qualified exemption which means that the decision to disclose the requested material is subject to a public interest test.
The CPS acknowledges that there is a public interest in demonstrating the transparency of the prosecution process and the performance of the organisation.
Some of the data you have requested will be published on the Crown Prosecution Service (CPS) website in May this year.
The timetable for publication allows for the review and validation of the figures to be included in the report and to release this information ahead of schedule would compromise the accuracy of the data.
On balance, I do not consider that it would be in the public interest to disclose the information requested ahead of schedule.
**Section 30(1)(c) – Information held for the purposes of criminal proceedings which the authority has power to conduct in relation to the details of the nature of information in respect of which the twelve Undertakings within the scope of FOI request reference 8329.**
This is a qualified exemption which means that the decision to disclose the requested material is subject to the public interest test.
The public interest factors taken into account in this case are explained below:
**Public interest factors for disclosure**
- To increase public understanding of the CPS decision making and prosecuting process.
- Transparency may increase public confidence in the CPS.
**Public interest factors against disclosure**
- There is a strong public interest in safeguarding the prosecution process. Maintaining the confidentiality of communications between the Police and the CPS, as well as other public bodies is an essential part of this process. It is important for officials to be able to freely justify and maintain their thought process when making decisions on criminal cases, without fear of the routes leading to those decisions later being disclosed into the public domain.
- Section 30(1)(c) is applicable as the Undertakings contain information that can cause prejudice/harm to proceedings. Disclosing information and details relating to Undertakings would contravene the public interest by failing to safeguard the prosecution process. We believe that releasing the requested information into the public domain would not only cause harm to criminal proceedings relating to the particular case but would also fail to maintain the confidentiality of communications between the Police and the CPS.
On balance, I consider the public interest favours maintaining the exemption.
**Section 40(2) – Personal Data Relating To Third Parties**
As an Undertaking includes personal data (i.e. name and address) of a witness as well as details of the police officer, it is also withheld under Section 40(2). Personal data can only be released if to do so would not contravene any of the data protection principles as outlined in Data Protection Act 2018 and set out by Article 5 of the General Data Protection Regulation (GDPR).
**Personal data shall be processed lawfully, fairly and in a transparent manner**
We believe releasing the requested information into the public domain would be unfair to the individuals concerned; these individuals have a clear and strong expectation that their personal data will be held in confidence and not disclosed to the public under the FOI Act.
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Land at Sheen, SK37 OET Preliminary Ecological Appraisal Final Issue (1) September 2019
<img>Charnia Ecology logo</img>
Preliminary Ecological Appraisal
<img>A road with a stone wall on the right side and trees on the left.</img>
Land at Sheen, (Adjacent to Staffordshire Knot Inn), Pown Street, Sheen, SK37 OET, Staffordshire.
September 2019 Land at Sheen, SK37 OET Preliminary Ecological Appraisal Final Issue (1) September 2019
**Notice to readers**
This report has been prepared by Charnia Ecology with all reasonable skill, care and diligence, within the terms of the contract with the client. The actions of the surveyor on site and during the production of the report were undertaken in accordance with the Code of Professional Conduct for the Chartered Institute of Ecology and Environmental Management (www.iceem.org.uk).
No part of this document may be reproduced without the prior written approval of Charnia Ecology.
<table>
<tr>
<td><strong>Client Details:</strong></td>
<td></td>
</tr>
<tr>
<td><strong>Mr. Carl Hardy</strong></td>
<td></td>
</tr>
<tr>
<td><strong>Application area:</strong></td>
<td></td>
</tr>
<tr>
<td>Land at Sheen,<br>(Adjacent to Staffordshire Knot Inn),<br>Pown Street, Buxton, Derbyshire<br>SK17 OET / SK11096103</td>
<td></td>
</tr>
<tr>
<td><strong>Issue No:</strong></td>
<td></td>
</tr>
<tr>
<td>Final Issue 1</td>
<td></td>
</tr>
<tr>
<td><strong>Issue Date:</strong></td>
<td></td>
</tr>
<tr>
<td>September 2019</td>
<td></td>
</tr>
<tr>
<td><strong>Author:</strong></td>
<td></td>
</tr>
<tr>
<td>Mark Weston<br>BSc (Hons), GradCIEEM, AMRSL</td>
<td></td>
</tr>
</table>
**Surveyor capability**
Ecological assessment and report preparation has been conducted by a qualified ecologist and member of the Chartered Institute of Ecology and Environmental Management (MCIEEM), and an associate member of the Society of Biology (AMRSB). The ecologist holds a First Class Honours degree in Conservation Biology, and a Vice Chancellor's Award for Excellence in Teaching. He has provided ecological advice over over ten years, and is actively involved in scoping, presence/absence surveys, and Natural England licence applications with regard to planning and the law. The actions of the surveyor on site and during the production of written reports are undertaken in accordance with the Code of Professional Conduct for the Chartered Institute of Ecology and Environmental Management (CIEEM) Land at Sheen, SK17 OET Preliminary Ecological Appraisal Final Issue (1) September 2019
**NON-TECHNICAL SUMMARY**
- **Report rationale**
1. A Preliminary Ecological Appraisal was conducted on behalf of Mr. Carl Hardy in relation to a proposed planning application regarding a parcel of land adjacent to Pown Street, Sheen, Nr. Burton, Derbyshire SK17 OET, (NGR: SK11096103). The objectives of this report are to outline any further recommendations on how to proceed with the works in a legal and ecologically sensitive manner, in accordance to current National Planning Policy Framework (NPPF) and UK Legislation.
2. A daytime walkover survey of the proposed site was undertaken during an optimal period on 26th August 2019 by an experienced ecologist in accordance with the Chartered Institute of Ecology and Environmental Management’s (CIEEM) Code of Practice.
- **Proposed works** 3. The proposed planning application considers a small-scale development for the erection of two semi-detached cottages with associated gardens and hard standing on a small parcel of semi-improved grassland. The scheme will involve some selected tree / shrub removal around boundaries.
- **Site description** 4. The land parcel equates to ca. 0.06ha and comprises of a rough semi-improved grassland with scattered shrubs and scrub encroachment around drystone walls. The land is located adjacent to the Staffordshire Knot Pike and can be accessed immediately off Pown street along the western boundary. Enclosed neutral grassland and unplanned hay meadows abuts NE and SE boundaries. 5. In context to the wider landscape, the site is located in the Peak Park NNR and listed under the National Character Area (NCA) Profile: S3 South West Peak (NE453); being located in an upland landscape, with a steep escarpment sloping down to the River Dove on the east, and less steeply to the River Manifold on the west.
- **Protected habitats** 6. In its current form, the vegetation communities within the grassland area subject to development are not considered as being unique within the context of the wider landscape and they do not represent any significant loss in terms of nature conservation overall, other than land up-take. 7. No Tree Preservation Orders (TPOs) were recorded in the application area. No invasive Non-Native Species (INNS) currently listed as a Schedule 9 species under the Wildlife and Countryside Act 1981 were recorded at the time of survey. No invasive Non-Native Species (INNS) currently listed as a Schedule 9 species under the Wildlife and Countryside Act 1981 were recorded at the time of survey.
- **Designated sites** 8. There are no designated conservation sites recorded in a 1km radius, the site location falls within a SSSI Impact Risk Zone. Based on a small-scale, single-phase development, no long-term impact to any designated conservation sites in the wider landscape is predicted. 9. Based on the small parcel of land, no further survey effort is deemed necessary regarding any protected fauna species. Conversely, this report makes a number of mitigation recommendations regarding any intended post development lighting that may impact upon foraging and commuting bats, with site safeguard measures / timing of works for nesting birds stipulated. Additional recommendations are also given in the unlikely event that individual reptiles (Grass snake considered), amphibians (frogs and toads) and small mammals with biodiversity enhancement recommendations included. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
- Summary of predicted impacts
| IMPACT ASSESSMENT | |---| | Type and scale of works | SINGLE PHASE / SMALL-SCALE DEVELOPMENT | | Size, nature and complexity of the development site | 2 X SEMI DETACHED COTTAGES OF LOW COMPLEXITY | | Predicted impact on designated conservation sites | LOW |
| ECOLOGICAL IMPACTS | IMPACT | PREDICTED EFFECTS | |---|---|---| | o Habitat loss from land take through direct destruction or physical take-up of ecological habitat as a result of change of land-use; | YES | LONG-TERM HIGH IMPACT PREDICTED | | | 0.06ha of semi-improved neglected grassland will be permanently lost, albeit not considered to be unique wildlife habitat. The loss of this habitat is not represented by any significant loss in terms of nature conservation overall, other than cumulative. | | | o Habitat fragmentation of spatial connectivity to the wider landscape and increased negative edge effects; | NO | Minimal fragmentation of spatial connectivity and edge effects predicted. | | o High level disturbance and noise activity on ecological receptors throughout construction and post development stage; | YES | SHORT-TERM IMPACT PREDICTED Through general noise / dust disturbance during construction. | | o Alterations to surface water quality whereby all development near to water has an associated risk of pollutants that could negatively impact water quality and aquatic habitat and species. | NO | NEGLIGIBLE IMPACT PREDICTED to surface water quality is predicted. | | o FAUNA - Impact on wildlife populations and assemblages through habitat loss and reduced connectivity; | | |
<table>
<thead>
<tr>
<th>TAXA</th>
<th>IMPACT PREDICTED</th>
<th>IMPACT ASSESSMENT</th>
<th>FURTHER SURVEY</th>
</tr>
</thead>
<tbody>
<tr>
<td>o Amphibians</td>
<td>NEGIGIBLE TO LOW</td>
<td>No impact to Great Crested Newt predicted.</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td></td>
<td>Site safeguard measures for general amphibian spp. recommended.<br>(see Section 8: mitigation for other species).</td>
<td></td>
</tr>
<tr>
<td>o Birds</td>
<td>HIGH SHORT-TERM</td>
<td>Site safeguard measures recommended for individual nesting birds in selected trees and scrub around site.<br>* Loss of nest sites may be mitigated by farm use (farm).</td>
<td>NO</td>
</tr>
<tr>
<td>o Barn owl</td>
<td>NEGIGIBLE TO LOW</td>
<td>Potential minor loss of foraging habitat.</td>
<td>NO</td>
</tr>
<tr>
<td>o Bats roosts</td>
<td>NEGIGIBLE TO LOW</td>
<td>No bat roosts impacted.</td>
<td>NO</td>
</tr>
<tr>
<td>o Bats foraging & commuting habitat</td>
<td>LOW MODERATE</td>
<td>Potential commuting and foraging bats may be affected by any lighting scheme considered post-development<br>(see Section 8: Bat mitigation).</td>
<td>NO</td>
</tr>
<tr>
<td>o Badger</td>
<td>NEGIGIBLE</td>
<td>No impact to any active sets / habitat.</td>
<td>NO</td>
</tr>
<tr>
<td>o Reptiles</td>
<td>NEGIGIBLE TO LOW</td>
<td>Site safeguard measures recommended.<br>(see Section 8: mitigation for other species).</td>
<td>NO</td>
</tr>
<tr>
<td>o Invertebrates</td>
<td>NEGIGIBLE TO LOW</td>
<td>Minor loss (O. Ophiolus) of terrestrial habitat.</td>
<td>NO</td>
</tr>
<tr>
<td>o Water vole</td>
<td>NEGIGIBLE</td>
<td>No impact to this species predicted.</td>
<td>NO</td>
</tr>
<tr>
<td>o Otter</td>
<td>NEGIGIBLE</td>
<td>No impact to this species predicted.</td>
<td>NO</td>
</tr>
</tbody>
</table>
<img>A page from a report detailing the ecological impacts of a proposed development project, including summary statistics, impact assessments, and further survey recommendations.</img> Land at Sheen, SK37 DET Preliminary Ecological Appraisal Final Issue (1) September 2019
<img>Charnia Ecology logo</img>
**CONTENTS** Notice to readers Non-technical summary Contents 1.0 INTRODUCTION Background Site Description 2.0 METHODOLOGY Desk Study Habitat Survey Fauna Valuation of Ecological Features 3.0 LEGISLATION 4.0 RESULTS Desk Study Habitats Fauna 5.0 IMPACTS AND CONSTRAINTS Designated Sites Habitats Potential Impact of Works Mitigation requirements 6.0 REFERENCES 7.0 MAPS & PLANS 8.0 PHOTOGRAPHIC PLATES Land at Sheen, SK17 0ET
Preliminary Ecological Appraisal
Final Issue (1) September 2019
**1. INTRODUCTION**
1. A Preliminary Ecological Appraisal was conducted on behalf of Mr. Carl Hardy in relation to a proposed planning application regarding a parcel of land adjacent to Pown Street, Sheen, Nr. Buxton, Derbyshire SK17 0ET, (NGR: SK11096103).
2. The objective of this report is to inform the client of any known or potential protected or rare fauna and flora species that may be using the site, and to outlines any recommendations on how to proceed with the works in a legal and ecologically sensitive manner, in accordance to current National Planning Policy Framework (NPPF) and UK Legislation.
3. A daytime walkover survey of the proposed site was undertaken during an optimal period on 26th August 2019 by an experienced ecologist in accordance with the Chartered Institute of Ecology and Environmental Management’s (CIEEM) Code of Practice.
○ **Site description**
4. A small parcel of land is proposed for development in the rural hamlet of Sheen on north-east of the county of Staffordshire on a transboundary boundary with Derbyshire; ca. 1.75km NW of Hartington in the Staffordshire White Peaks.
5. The land parcel equates to ca. 0.06ha and comprises of a rough grassland and scrub compartment with scattered shrubs and drystone walls around all boundaries. The land is located adjacent to the Staffordshire Knot PH and can be accessed immediately off Pown street along the western boundary. Enclosed neutral grassland and unplanned hay meadows abuts NE and SE boundaries.
6. In context to the wider landscape, the site is located in an upland landscape, being situated at elevation (1,247 ft. [380 m.] on an exposed sandstone ridge known as the Sheen Beds in the Millstone Grit series with a steep escarpment sloping down to the River Dove on the east, and less steeply to the River Manifold on the west.
<img>
Figure 1. Location of proposed development area (arrow)
In context to the wider landscape (source: OS Maps).
</img>
______________________________________________________________________
Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
o Proposed works 7. The proposed planning application is for erection of two semi-detached cottages with associated gardens and hard standing. The scheme will involve some selected tree / shrub removal around boundaries.
<img>Aerial view of a proposed development area.</img> Figure 2. Proposed application area boundary (yellow) (source:GoogleEarth).
2. METHODOLOGY
Desk Study 8. The following methods in line with guidance provided in Institute of Ecology and Environmental Management (IEM) Guidelines on Preliminary Ecological Appraisal (IEM, 2012), have been used in the assessment. The survey which consisted of a desk study and a field survey where habitats were mapped and any potential to support protected species was targeted noted. This is based on the extended Phase 1 habitat survey guidelines (INCC 2010). 9. An initial desk-based study was undertaken to examine the development site in context to the wider landscape and changes of temporal stability that may increase the sites importance to nature conservation. Web bases resources, such as Multi-agency Geographic Information for the Countryside (MAGIC) (www.magic.gov.uk), Natural England (www.naturalengland.org.uk); National Biodiversity Network (NBN) (www.nbn.org.uk); UK BAP (www.data.nbn.org.uk, Google Earth and www.ordnancesurvey.co.uk were utilized. 10. In order to compile background information on the site and immediate surroundings, local records regarding existing designated sites, Special Areas of Conservation (SAC), habitats, and protected and notable species within a 1km radius were requested from Staffordshire Ecological Records (SER). 11. Staffordshire and Derbyshire Biodiversity Action Plan (BAP) was consulted to determine priority species of national or county conservation importance. The UK Biodiversity Action Plan (UK BAP) was set out to identify habitats and species on a national and regional scale that merit special consideration for protection, enhancement and expansion through all appropriate mechanisms to contribute to the conservation of global biodiversity. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
12. A formal data search was requested from Staffordshire Ecological Records (SER) within a 1km radius of the application area, to further substantiate methodology and ascertain the following information:
- Extent of Sites of Biological Importance\* (SBIs) and Biodiversity Alert Sites\* (BASs) in the area in question.
- A list of SBIs / BASs and other statutory and non-statutory sites of biological or geological importance, together with a list of woodlands listed on the Natural England Ancient Woodlands Inventory.
- An annotated list of protected species within the search area, covering European and UK protected species and species occurring on the UK Biodiversity Action Plan (BAP) (short list) and Staffordshire BAP.
13. Additionally, MAGIC (Multi-Agency Geographic Information for the Countryside, 2010) was used to establish whether any of the following are present:
- Statutory site designations on or within 1 km of the site.
- Statutory sites designated for bats within 5 km of the site.
○ Valuation of Ecological Features 14. The value of areas of habitat and plant communities has been measured against published criteria where available. Biodiversity Action Plans (BAPs) have been searched to identify whether action has been taken to protect all areas of a particular habitat and to identify current factors causing the loss and decline of particular habitats. The presence of injurious and legally controlled weeds has also been considered. 15. When assigning a level of value to a species, its distribution and status (including a consideration of trends based on available historic records) has been considered. Other factors influencing the value of a species are legal protection, rarity and Species Action Plans (SAPs). Guidance, where it is available, for the identification of populations of sufficient size for them to be of national or international importance has also been considered.
○ Nomenclature 16. The English name only of flora and fauna species is given in the main text of this report; however, scientific names are used for invertebrates where no English name is available. Vascular plants and charophytes follow the nomenclature of The Botanical Society for the British Isles (BSBI) 2007 database (BSBL, 2011), with all other flora and fauna following the Nameserver facility of the National Biodiversity Network Species Dictionary (http://www.rnh.ac.uk/nbn/), which is managed by the Natural History Museum.
○ Walkover survey
<table>
<thead>
<tr>
<td>Jan</td>
<td>Feb</td>
<td>March</td>
<td>April</td>
<td>May</td>
<td>June</td>
<td>July</td>
<td>Aug.</td>
<td>Sep.</td>
<td>Oct.</td>
<td>Nov.</td>
<td>Dec.</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="12">Phase 1 & NVC - Sub optimal survey</td>
</tr>
<tr>
<td colspan="12">Phase 1 & NVC - Optimal survey period</td>
</tr>
<tr>
<td colspan="12">Phase 1 & NVC - Sub optimal survey</td>
</tr>
</tbody>
</table>
17. Whilst Preliminary Ecological Appraisal (PEA) surveys can be conducted all year round, the optimum time for undertaking such surveys is between April and September, due to seasonal cessation of vegetation. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
18. Scoping of baseline conditions on-site is considered a crucial stage of ecological impact evaluation (Wood et al. 2006) to ensure the widest possible input to the definition and refinement of the Terms of Reference (TOR). Baseline ecological assessment of the Valued Ecological Receptors (VER) and Zones of Influence (ZoI) were determined, using a combination of desk-based study and field survey consistent with current standard methodologies.
19. The survey was undertaken by an experienced ecologist and member of the Chartered Institute of Ecology & Environmental Management (CIEEM). All field surveys were carried out to Natural England protected species guidelines and Institute of Ecology and Environmental Management (CIEEM) guidance on survey methodology (CIEEM 2005) and to BS 5837 standard (trees) (ODPM 2000), Assessment of habitats types was carried out in accordance with Joint Nature Conservation Committee (JNCC, 2003) survey methodology.
Flora
20. The observable higher plant species in each habitat type within the site, and their abundance, were recorded using the DAFOR scale: D [Dominant]; A [Abundant]; F [Frequent]; O [Occasional]; R [Rare].
21. Each habitat has been colour coded in accordance to survey methodology and shown in the Extended Phase I Habitat Map. Baseline target notes (TN) have been assigned alongside the description of compartments and habitats.
Fauna
- Amphibians
○ Great crested newt
<table>
<thead>
<tr>
<th>Jan</th>
<th>Feb</th>
<th>March</th>
<th>April</th>
<th>May</th>
<th>June</th>
<th>July</th>
<th>Aug</th>
<th>Sept</th>
<th>Oct</th>
<th>Nov</th>
<th>Dec</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="12" style="text-align:center;">(protected status EPS, WICA, UKBAP, LBAP)</td>
</tr>
<tr>
<td colspan="3">Hibernation</td>
<td colspan="3">Peak surveying period for adults / terrestrial & egg survey (April-May = Optimal) Landscaped areas (Nov-May = Optimal)</td>
<td colspan="3">Habitat and larvae survey (Sub-optimal)</td>
<td colspan="3">Habitat survey (Sub-optimal)</td>
</tr>
<tr>
<td colspan="3"></td>
<td colspan="3"></td>
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<td colspan="3" style="background-color: #FFD700;"></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/>
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22. Great Crested Newt *Triturus cristatus* (GCN) is a protected species under the Wildlife and Countryside Act 1981 (as amended) and the Conservation (Natural Habitats &c) Regulations 1994 (also known as the Habitats Regulations). Great crested newt is a priority UKBAP species and targets are given to maintain geographical range and viability of existing *T. cristatus*.
23. Under current legislation, it is illegal to intentionally kill, injure, or capture great crested newts or their young; (this includes the eggs of great crested newts). Furthermore, it is illegal to intentionally or recklessly damage, destroy or obstruct access to areas used by great crested newts for shelter.
24. Any water-bodies located in a 500m radius were, where accessible, assessed on their suitability of supporting newt populations using the Habitat Suitability Index HSI (Oldham et al. 2000). Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
<table>
<tr>
<td>HIS Pond suitability index score rating</td>
<td></td>
</tr>
<tr>
<td>< 0.5 = poor</td>
<td>0.67 – 0.79 = good</td>
</tr>
<tr>
<td>0.5 – 0.59 = below average</td>
<td>>0.8 = excellent</td>
</tr>
<tr>
<td>0.6 – 0.69 = average</td>
<td></td>
</tr>
</table>
**Table 1** Habitat Suitability Index HSI (Oldham et al. 2000).
- Other amphibians
25. Common frogs are listed in Annex V of the Habitats Directive, and common frogs, common toads and smooth newts are listed under Schedule 5 of the WCA 1981 (as amended) and protected under section 9(5) only.
- Badger *(protected status WCA)*
<table>
<thead>
<tr>
<th rowspan="2">Jan</th>
<th rowspan="2">Feb</th>
<th rowspan="2">March</th>
<th rowspan="2">April</th>
<th rowspan="2">May</th>
<th rowspan="2">June</th>
<th rowspan="2">July</th>
<th rowspan="2">Aug</th>
<th rowspan="2">Sept</th>
<th rowspan="2">Oct</th>
<th rowspan="2">Nov</th>
<th rowspan="2">Dec</th>
</tr>
<tr>
<td>Limited sett / trail surveys<br>(Sub-optimal)</td>
<td>Bad marking and sett surveys<br>(Optimal)</td>
<td>Limited sett / bat surveys (Sub-optimal)</td>
<td>Sett surveys (Optimal)</td>
<td>Limited sett / trail surveys<br>(Sub-optimal)</td>
</tr>
</thead>
<tbody>
<tr><td colspan="13"></td></tr>
</tbody>
</table>
26. The Protection of Badgers Act 1992 makes it illegal to willfully kill, injure or take any badger, or attempt to do so and it is an offence to intentionally or recklessly damage, destroy or obstruct access to any part of a badger sett.
27. Natural England (2002) advises that disturbance of an active sett can include:
- Light work such as hand digging within 10m
- Use of light machinery (generally wheeled vehicles) within 20m.
- Use of heavy machinery (generally tracked vehicles) within 30m.
28. The word "disturbance" includes anything from the trivial to the lethal. An example of a trivial disturbance may be extra traffic noise on or near to an application area. In contrast a lethal disturbance may be as a result of a badger sett being destroyed in order to make way for the planned works.
29. An extended radius of 30m around the application site was surveyed for evidence of badger setts and characteristic field signs in accordance with accepted standards, methodologies and guidelines. Field evidence includes; well defined desire line tracks through vegetation, snuffle holes, latrines and sett entrances. The presence of badger hair, fresh spoil heaps and active latrines are indicators that the sett entrance active.
- Bats *(protected status EPS, WCA, UKBAP, LBAP)*
<table>
<thead>
<tr>
<th rowspan="2">Jan</th>
<th rowspan="2">Feb</th>
<th rowspan="2">March</th>
<th rowspan="2">April</th>
<th rowspan="2">May</th>
<th rowspan="2">June</th>
<th rowspan="2">July</th>
<th rowspan="2">Aug</th>
<th rowspan="2">Sept</th>
<th rowspan="2">Oct</th>
<th rowspan="2">Nov</th>
<th rowspan="2">Dec</th>
</tr>
<tr>
<td>Inspection of Hibernation roosts - semi optimal survey</td>
<td>Limited activity-sub optimal survey</td>
<td>Summer roost emergence & re-entry surveys - Optimal survey period</td>
<td>Limited activity-sub optimal survey</td>
<td>Hibernation roosts - semi optimal survey</td>
</tr>
</thead>
<tbody>
<tr><td colspan="13"></td></tr>
<tr><td colspan="13">
Internal roost surveys are possible / trees are best surveyed during winter
</td></tr>
</tbody>
</table>
30. All species of bats are fully protected under the Wildlife and Countryside Act 1981, the European Conservation (Natural Habitats etc.) Regulations 1994 and the Countryside and Rights of Way Act 2000. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
31. This legislation makes it illegal to possess or control any live or dead specimens, to damage, destroy or obstruct access to any structure or place used for shelter, protection or breeding, and to intentionally disturb a bat while it is occupying a structure or place which it uses for that purpose.
32. Bats are considered as being an indicator species of biodiversity and ecosystem quality. If bats are found to be present on the application area, then a European Protected Species (EPS) development license issued by Natural England (NE) may be required prior to any development. If required, further presence/absence survey should be undertaken and a mitigation strategy be implemented with Natural England and the Local Planning Authority.
33. Unlike many smaller mammals, bats have low fecundity with a long and complex life cycle which is played out over a large spatial landscape. Bats need different roosting conditions at different times of the year and they will often move around to find a roost that meets their needs i.e. hibernacula, maternity, bachelor, satellite roosts and feeding perches. Bats are highly social animals and loss of a single habitat alone can have a serious impact on populations.
34. Potential Roost assessment is based on the location of trees/structures in the surrounding landscape. For example; an immature tree species in an area of high-level disturbance is likely to provide few opportunities for roosting bats. Conversely, a mature tree forming part of a continuous, linear habitat would have high potential for commuting and roosting bats.
<table>
<thead>
<tr>
<th rowspan="2">Jan</th>
<th rowspan="2">Feb</th>
<th rowspan="2">March</th>
<th rowspan="2">April</th>
<th rowspan="2">May</th>
<th rowspan="2">June</th>
<th rowspan="2">July</th>
<th rowspan="2">Aug</th>
<th rowspan="2">Sept</th>
<th rowspan="2">Oct</th>
<th rowspan="2">Nov</th>
<th rowspan="2">Dec</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="12">(protected status WCA, UKBAP, LBAP)</td>
</tr>
<tr>
<td colspan="12">
Winter species (Optimal)
Breeding birds:
Migrant species (Optimal)
Breeding birds:
Migrant species (Optimal)
Breeding birds:
Low activity (Sub-optimal)
Migrant species (Optimal)
Winter birds (Optimal)
</td>
</tr>
</tbody>
</table>
35. All common wild birds are protected under The Wildlife and Countryside Act 1981 (and as amended). Under this legislation it is an offence to:
- Kill, injure or take any wild bird.
- Take, damage or destroy the nest of any wild bird while it is in use or being built.
- Take or destroy the egg of any wild bird.
36. In addition to statutory protection, some species are classified according to their status on Red and Amber lists of Birds of Conservation Concern (BoCC) in the UK; and whether they have been identified as UKBAP Priority Species and/or Staffordshire LBAPs.
37. A bird scoping survey was undertaken to identify the presence and distribution of birds on the site, evaluate the importance of local bird populations and the conservation importance of the site in context to the wider landscape. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
<table>
<thead>
<tr>
<td></td>
<td colspan="12">(protected status WCA)</td>
</tr>
<tr>
<td></td>
<td>Jan</td>
<td>Feb</td>
<td>March</td>
<td>April</td>
<td>May</td>
<td>June</td>
<td>July</td>
<td>Aug</td>
<td>Sept</td>
<td>Oct</td>
<td>Nov</td>
<td>Dec</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hibernation</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Peak surveying period (Optimal)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Reduced / Low activity (Sub-optimal)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Peak survey (Optimal)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Low activity (Sub-optimal)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
38. Grass snake *Natrix natrix*, adder *Vipera berus*, common lizard *Zootoca vivipara* and slow worm *Anguis fragilis* are partially protected via their listing on Schedule 5 of The Wildlife and Countryside Act 1981 (as amended). The habitats on site were assessed for their variance in structure, the availability of basking sites, breeding, foraging and hibernacula potential as outlined in the Herpetofauna Workers Manual (Gent and Gibson 1998).
<table border="1">
<thead><tr><th rowspan="2">Otter and Water vole</th><th colspan="2">Jan</th><th colspan="2">Feb</th><th colspan="2">March</th><th colspan="2">April</th><th colspan="2">May</th><th colspan="2">June</th><th colspan="2">July</th><th colspan="2">Aug</th><th colspan="2">Sept</th><th colspan="2">Oct</th><th colspan="2">Nov</th><th colspan="2">Dec</th><th>(protected status EPS, WCA, UKBAP, LBAP)</th></tr><tr><th>Jan</th><th>Feb</th><th>March</th><th>April</th><th>May</th><th>June</th><th>July</th><th>Aug</th><th>Sept</th><th>Oct</th><th>Nov</th><th>Dec</th><th>Low activity Initial habitat Limited by vegetation cover and weather conditions rather than seasons.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Initial habitat Low activity.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><th>Habitat and field signs / activity surveys May be limited by vegetation cover and weather.</th><tr class="header_bottom_margin">
<th>Otter<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan="6">Water vole<br>(Protected status EPS, WCA, UKBAP, LBAP)</th><table border="1">
<tbody><tr class="header_bottom_margin">
<th rowspan"
Land at Sheen, SK17 0ET
Preliminary Ecological Appraisal
Final Issue (1) September 2019
**3. LEGISLATION**
42. The United Kingdom Biodiversity Action Plan (BAP) 1994 sets out a strategy for implementing the Convention on Biological Diversity, which was signed by the United Kingdom at the Rio de Janeiro Earth Summit in 1992. The published report contains action plans for the United Kingdom’s most threatened species and habitat plans for the most vulnerable areas.
43. The Local BAP sets out the county’s part in the UK biodiversity planning process, in the form of local habitat and species action plans. Local BAPs are intended to focus resources, to conserve and enhance biodiversity, by taking account of national and local priorities.
44. Schedule 1 Part 1 of The Wildlife and Countryside Act 1981 (and amendments) lists birds protected by special penalties at all times. It prohibits intentional killing/injuring, taking, possessing, disturbing and selling (including parts and derivatives, eggs, nests, etc. As applicable) as well as damaging, destroying or disturbing nests in current use or dependent young, etc.
45. Schedule 5 of The Wildlife and Countryside Act 1981 (and amendments) prohibits deliberate killing, injuring, taking, possessing, disturbing and selling (including parts and derivatives) as well as damaging, destroying or obstructing any structure or place of refuge of listed fauna, such as dormouse, otter and bat species.
46. The Conservation of Habitats and Species Regulations 2010 consolidate all the various amendments made to the Conservation (Natural Habitats, &c.) Regulations 1994, in respect of England and Wales. It is illegal to kill, disturb, destroy eggs, breeding sites or resting places, to pick, collect, take cuttings, uproot or destroy in the wild as well as keep, transport, sell/exchange and offer for sale/exchange species listed.
47. The Countryside and Rights of Way Act 2000 increases the protection given by The Wildlife and Countryside Act 1981 (and amendments). The offence to intentionally damage any structure or place that a wild animal listed in Schedule 5 of the Act uses for shelter or protection or deliberately disturbing any such animal while in such a structure or place is extended so that the offence also covers reckless damage / disturbance. The CROW Act places a duty on Ministers and Government Departments to have regard for the purpose of conserving biological diversity in accordance with the Convention on Biological Diversity.
48. The Natural Environment and Rural Communities Act 2006, as well as creating Natural England, gives all public authorities the duty to have regard for conserving biodiversity within the commission of their duties. This includes a duty to restore and enhance as well as maintain biodiversity. The act also strengthens protection for Sites of Special Scientific Interest (SSSI) and makes authorities liable for allowing damage to such sites or their features.
○ Planning Policy
09. As defined in Planning Policy Statement 9 (ODPM, 2005) (now superseded by the National Planning Policy Framework (NPPF, 2012 revised 2018)), Biodiversity and Geological Conservation sites of biodiversity conservation value and protected species are material considerations in the planning process. In March 2012, the National Planning Policy Framework (NPPF) was published and replaces the previous detailed Planning Policy Statement 9 (PPS9) although the guidance document ‘Planning for Biodiversity and Geological Conservation: A Guide to Good Practice’ ODPM 06/2005 has not been replaced by the Framework. Land at Sheen, SK17 OET Preliminary Ecological Appraisal Final Issue (1) September 2019
10. The NPPF promotes plan-making and decision-taking with a presumption in favour of sustainable development. In terms of biodiversity, sustainable development should not only achieve no net loss of biodiversity but incorporate proposals that achieve net gains for nature alongside the other social and economic needs of society.
11. Protected sites and species are a material consideration in determining planning applications, therefore all information relating to protected sites and species must be submitted with planning submissions for determination of the whole application. The NPPF promotes the approval of plans where applications can demonstrate that they are in accordance with up-to-date Local Plans and have addressed material considerations. Part of the NPPF core strategy aims to ensure “development where appropriate produces a net gain in biodiversity, and ensuring that any unavoidable impacts are appropriately mitigated for”.
12. RESULTS
o Designated sites 52. The site is located in the Park Peak NNR and listed under the National Character Area (NCA) Profile: 53 South West Peak (NE453). Whilst there are no designated nature conservation sites located within 1km, there are numerous statutory and non-statutory conservation sites within a 2km radius. Subsequently, the proposed application area falls within a SSSI Impact Risk Zone. • Flora 53. DWT provide no records of any protected flora or vegetation communities onsite or within a 1km radius. • Habitats and baseline vegetation communities recorded onsite.
(B6) species-poor semi-improved grassland.
<img>
Figure 3. Looking north-west across the small land parcel.
</img>
54. In its current form, the proposed development area subject to development comprises of a small parcel (ca.0.06ha) of semi-improved, neutral grassland / rushy pasture with pioneering scrub and shrub encroachment forming around selected boundaries. The underlying pedology is that of non-calcareous stagnogley and loamy and clayey soils which sits close to bedrock.
55. The grassland is dominated by a low to medium sward of perennial ryegrass *Lolium perenne*, intermixed with patches of bare ground and occasional common rank grass types of: Creeping bent *Agrostis stolonifera*; Cockfoot *Dactylis glomerata* with patches of Soft Rush *Juncus effuses* present. Land at Sheen: SK17 DET Preliminary Ecological Appraisal Final Issue (1) September 2019
Ground flora composition was found to be relatively species-poor and typical to that of neutral grassland species occurring on loamy clayey soils sitting close to bedrock:
<table>
<tr>
<td>Common Bird's-foot-trefoil - Lotus corniculatus [O]</td>
<td>Ribwort Plantain - Plantago lanceolata [O]</td>
</tr>
<tr>
<td>Oxeye Daisy - Leucanthemum vulgare [O]</td>
<td>Broad-leaved Dock - Rumex obtusifolius [O]</td>
</tr>
<tr>
<td>Common Mint - Mentha spicata [O]</td>
<td>Common vetch - Vicia sativa [O]</td>
</tr>
<tr>
<td>Creeeping Thistle - Cirsium arvense [O]</td>
<td>Common Knap - Centaurea nigra [O]</td>
</tr>
<tr>
<td>Common Ragwort - Senecio jacobaea [O]</td>
<td>Black Medik - Medicago lupulina [O]</td>
</tr>
<tr>
<td>White clover - Trifolium repens [A]</td>
<td>Cow parsnip - Heracleum maximum [O]</td>
</tr>
<tr>
<td>St. John's Wort - Hypericum perforatum [O]</td>
<td></td>
</tr>
</table>
(32) Boundaries
<img>Figure 4. West boundary.</img><br/> <img>Figure 5. East boundary.</img><br/> <img>Figure 6. North boundary.</img><br/> <img>Figure 7. South boundary.</img>
56. The site is bounded by dry-stone walls around all sides and abuts onto semi-improved grassland around the eastern perimeter whilst Power street and car-park for the Staffordshire Knot PH abuts the north and western boundaries. A line of internal scattered trees and shrubs are present along the SW boundary, being composed of occasional Ash (Fraxinus excelsior), Willow (Salix caprea), Elder (Sambucus nigra), Common Snowberry (Symphoricarpos albus) and Wild Cherry (Prunus avium).
57. Patches of tall ruderals and seral scrub encroachment occur around the understorey and boundary ecotone comprising of Rosebay Willow herb (Chamerion angustifolium) [F]; Bramble (Rubus fruticosus) [D]; Common nettle (Urtica dioica) [A]; Herb Robert (Geranium robertianum) [O]; Hawthorn (Crataegus monogyna) [O]; common Dandelion (Taraxacum officinale) [F] and Common Sorrell (Rumex acetosa) [F]. Land at Sreen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
o Invasive Non-Native Species (INNS) 58. No INNS, currently listed as a Schedule 9 species under the Wildlife and Countryside Act 1981 were recorded within the proposed development area / zone of influence.
o Tree Preservation Orders (TPOs) 59. No TPOs were recorded onsite.
o Fauna o Amphibians 60. DWT data show no records of Great Crested Newt within a 1km radius of the proposed development, with no standing water-bodies noted in a 500m radius. o Badger 61. No evidence of badger was recorded within the proposed development area itself nor within a 30m radius. Underlying bedrock lies close to surface within the application area providing little opportunity for sett uptake, with no loss to existing foraging and/or commuting habitat considered. 62. In the absence of mitigation, no impact to badger is predicted under the proposed scheme, and no further recommendations are made. Bats 63. Pre-survey data show 10 out of the 17 British bat species are recorded within this transboundary region of Staffordshire and Derbyshire, and are listed in the Biodiversity Steering Group Report Volume 2 (Action Plans). Twelve of these resident UK bat species are recorded in Derbyshire (seven in Staffordshire) and are currently given UK BAP (2007) status.
<table>
<thead>
<tr>
<th>UKRAP</th>
<th>Common Name</th>
<th>Species</th>
<th>Recorded within 1km</th>
</tr>
</thead>
<tbody>
<tr>
<td>☑</td>
<td>Brown long-eared bat</td>
<td>Plecatus auritus</td>
<td>☑</td>
</tr>
<tr>
<td>☑</td>
<td>Barbastelle bat</td>
<td>Barbastella barbastellus</td>
<td>☒</td>
</tr>
<tr>
<td>☑</td>
<td>Bechstein's bat</td>
<td>Myotis bechsteinii</td>
<td>☐</td>
</tr>
<tr>
<td>☑</td>
<td>Leisler's bat</td>
<td>Nyctalus leisleri</td>
<td>☐</td>
</tr>
<tr>
<td>☑</td>
<td>Noctule</td>
<td>Nyctalus noctula</td>
<td>☐</td>
</tr>
<tr>
<td>☑</td>
<td>Greater horseshoe bat</td>
<td>Rhinolophus ferrumequinum</td>
<td>☐</td>
</tr>
<tr>
<td>☑</td>
<td>Lesser horseshoe bat</td>
<td>Rhinolophus hipposideros</td>
<td>☐</td>
</tr>
<tr>
<td>☑</td>
<td>Soprano pipistrelle</td>
<td>Pipistrellus pygmaeus</td>
<td>☐</td>
</tr>
</tbody>
</table>
Table 2. UKBAP Bat species recorded within Staffordshire / Derbyshire. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
65. A further four/five bat species that are not currently given UK BAP consideration are also recorded within the county, whilst DWT data show one of these species is recorded within a 1km radius of the site (highlighted in orange):
<table>
<thead>
<tr>
<th>Bat - UK BAP</th>
<th>Common name</th>
<th>Species</th>
<th>Recorded within 1km</th>
</tr>
</thead>
<tbody>
<tr>
<td>☑</td>
<td>Natterer's bat</td>
<td>Myotis nattereri</td>
<td>☑</td>
</tr>
<tr>
<td>☑</td>
<td>Daubenton's bat</td>
<td>Myotis daubentoni</td>
<td>☑</td>
</tr>
<tr>
<td>☑</td>
<td>Whiskered/brandt bat</td>
<td>Myotis mystacinus/brandti</td>
<td>☑</td>
</tr>
<tr>
<td>☑</td>
<td>Common pipistrelle</td>
<td>Pipistrellus pipistrellus</td>
<td>☑</td>
</tr>
</tbody>
</table>
**Table 3. Non UKBAP Bat species recorded in Staffordshire / Derbyshire.**
66. DWT data provide only seven records of bats in a 1km radius. A common pipistrelle and brown long-eared bat roost has been recorded ca.260m north of the site (1991/1992) although status and population sizes are not provided.
67. There are no structures onsite considered suitable for roosting bats. All trees were considered as having negligible features for roosting bats.
68. In the absence of mitigation, no impact to roosting bats is predicted under the proposed scheme. However, consideration should be given to any post-development lighting that may affect the commuting and foraging strategy of local bat populations (see recommendations).
○ Birds
69. DWT data provide no records of bird species within a 1km radius of the application area, although adjacent grassland compartments are classed as upland breeding bird area for Curlew Numenius arquata and Lapwing which are red listed under Birds of Conservation Concern (BoCC).
70. No notable bird species of conservation were recorded in the proposed development area itself. The site provides foraging and nesting potential for a number of passerine species that are considered as being common and white spread, with a good abundance of Common Field Grasshopper *Chorthippus brunneus* and native fruit bearing shrubs present onsite.
71. The following BoCC listed bird species were observed or heard in the surrounding landscape during the survey period:
<table>
<thead>
<tr>
<th>Birds</th>
<th>Fruitiferum</th>
<th>Corvus monedula</th>
<th>Jackdaw</th>
</tr>
</thead>
<tbody>
<tr>
<td>Turdus philomelos</td>
<td>Fieldfare</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Turdus merula</td>
<td>Blackbird</td>
<td>Eriothrix ruficauda</td>
<td>Robin</td>
</tr>
<tr>
<td>Pica pica major</td>
<td>Great tit</td>
<td>Turtona rufinae</td>
<td>Buzzard</td>
</tr>
<tr>
<td>Cuculus canorus</td>
<td>Raven</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
**Table 4. Birds recorded within 100m of the site.**
72. No evidence of Schedule 1 listed bird species including Barn owl was recorded, although the surrounding habitat is considered as being highly optimal for this species. Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
**Otter & Water vole** 73. DWT data provides no records of Otter or Water vole within a 1km radius. The habitat within the proposed application provides negligible potential for both species and no and no impacts are predicted.
**Reptiles** 74. DWT data provide no reptile sightings and/or Key Reptile Sites Register sites within a 1km radius. The site is considered as having negligible potential for any notable reptile populations and no impacts are predicted. Site safeguard measures should however be implemented for individual mobile reptile species such as Grass snake (see recommendations).
**Invertebrates** 75. Pre-survey data provide no notable records of protected BAP invertebrates within a 1km radius. The proposed development will result in land uptake of ca. 0.06 ha of grassland that is considered relatively species-poor to support any notable invertebrates that are considered of principal conservation (i.e. UKBAP and LBAP moths and butterflies). Common Field Grasshopper *Chorthippus brunneus* were abundant around site, exploiting the bare ground regions onsite.
**5. IMPACTS & MITIGATION** 76. The PEA was undertaken during an optimal survey period, and is considered as being robust and representative of protected species and vegetation communities currently onsite.
77. Potential ecological impacts of the proposed development based on qualitative and quantitative information of baseline information gathered from; desk-based study, Extended phase 1 baseline survey and evaluation of the ecological features, has been used to identify likely significant ecological impacts upon fauna and flora within the zones of influence from the proposed development.
78. In-order for the proposed development to proceed in a legal and ecologically sensitive manner, and in accordance to current National Planning Policy Framework (NPPF) and UK Legislation, the following prescriptions are recommended and should be made a condition of any planning consent. ○ **Designated Nature Conservation sites**
79. Based on a small-scale, single-phase development, no long-term impact to any designated conservation sites in the surrounding area is predicted. ○ **Protected habitats**
80. In its current form, the vegetation communities within the grassland area subject to development are not considered as being unique within the context of the wider landscape and they do not represent any significant loss in terms of nature conservation overall. Land at Sheen, SK 17 DET Preliminary Ecological Appraisal Final Issue (1) September 2019
<table>
<tr>
<td colspan="3">IMPACT ASSESSMENT SUMMARY</td>
</tr>
<tr>
<td>Type and scale of works</td>
<td>SINGLE PHASE / SMALL-SCALE DEVELOPMENT</td>
<td></td>
</tr>
<tr>
<td>Size, nature and complexity of the development site</td>
<td>2 X SEMI DETACHED COTTAGES OF LOW COMPLEXITY</td>
<td></td>
</tr>
<tr>
<td>Predicted impact on designated conservation sites</td>
<td>LOW</td>
<td></td>
</tr>
</table>
<table>
<thead>
<tr>
<th>ECOLOGICAL IMPACTS</th>
<th>IMPACT</th>
<th>PREDICTED EFFECTS</th>
</tr>
</thead>
<tbody>
<tr>
<td>Habitat loss from land-take through direct destruction or physical take-up of ecological habitat as a result of change of land-use;</td>
<td>YES</td>
<td>LONG-TERM HIGH IMPACT PREDICTED<br>0.06ha of semi-improved neglected grassland will be permanently lost, albeit not considered to be unique within the context of the wider landscape, and does not represent any significant loss in terms of nature conservation value, either individually or collectively.</td>
</tr>
<tr>
<td>Habitat fragmentation of spatial connectivity to the wider landscape and increased negative edge effects;</td>
<td>NO</td>
<td>Minimal fragmentation of spatial connectivity and edge effects predicted.</td>
</tr>
<tr>
<td>Human disturbance and noise activity on ecological receptors throughout construction and post-development stage;</td>
<td>YES</td>
<td>SHORT-TERM IMPACT PREDICTED<br>Through general noise / dust disturbance during construction.</td>
</tr>
<tr>
<td>Alterations to surface water quality whereby all development near to water has an associated risk of pollutants that could negatively impact water quality and aquatic habitat and species.</td>
<td>NO</td>
<td>NEGIBLE IMPACT PREDICTED<br>To surface water quality is predicted.</td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<th>FAUNA - Impact on wildlife populations and assemblages through habitat loss and reduced connectivity;</th>
<th>TAXA</th>
<th>IMPACT PREDICTED</th>
<th>IMPACT ASSESSMENT</th>
<th>FURTHER SURVEY</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Amphibians</td>
<td>NEGIBLE TO LOW</td>
<td>No impact to Great Crested newt predicted.<br>Site safeguard measures recommended for individual nesting birds in selected trees and scrub around site.<br>* Loss O. 05ha of foraging habitat (Long-term)<br>(see Section BS: Bird mitigation).</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Birds</td>
<td>HIGH SHORT-TERM</td>
<td>Site safeguard measures recommended for individual nesting birds in selected trees and scrub around site.<br>* Loss O. 05ha of foraging habitat (Long-term)<br>(see Section BS: Bird mitigation).</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Barn owl</td>
<td>NEGIBLE TO LOW</td>
<td>Potential minor loss of foraging habitat.</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Bats roosts</td>
<td>NEGIBLE TO LOW</td>
<td>No bat roosts impacted.</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Bats foraging & commuting habitat</td>
<td>LOW MODERATE</td>
<td>Potential commuting and foraging bats may be affected by any lighting scheme considered post-development (see Section B1: Bat mitigation).</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Badger</td>
<td>NEGIBLE</td>
<td>No impact to any active sets / habitat.</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Reptiles</td>
<td>NEGIBLE TO LOW</td>
<td>Site safeguard measures recommended.<br>(see Section B9: mitigating other species).</td>
<td>NO</td>
</tr>
<tr>
<td></td>
<td>Invertebrates</td>
<td>NEGIBLE TO LOW</td>
<td>Minor loss (C. 05ha) of terrestrial habitat.</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> NO<br> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img> <img>A green background with a yellow border.</img>&&nbs
Land at Sheen, SK17 OET
Preliminary Ecological Appraisal
Final Issue (1) September 2019
o Bat mitigation 81. Whilst no further surveys are considered necessary for bats, consideration should be made to any post-development lighting intended under the proposed scheme. Light-pollution can impede and severe the movement of both volant and terrestrial based animals.
82. The use of artificial lighting should follow protocols outlined in the Institute for Lighting Engineers document "Guidance for the Reduction of Obtrusive Lighting" (2005) [GN01.2011] and Bat Conservation Trust's "Artificial Lighting and Wildlife Interim Guidance: Recommendations to Help Minimise the Impact of Artificial Lighting" (2014) [GNB/18] to minimise disturbance and sky-glow across the site.
83. The proposed application site can be identified as a rural area with low district brightness, being categorized as ILP Environmental Zone E2:
<table>
<thead>
<tr>
<th colspan="4">Environmental Zones</th>
</tr>
<tr>
<th>Zone</th>
<th>Surrounding</th>
<th>Lighting Environment</th>
<th>Examples</th>
</tr>
</thead>
<tbody>
<tr>
<td>E0</td>
<td>Protected</td>
<td>Protected</td>
<td>UNESCO Starlight Reserves, IBA Dark Sky Parks</td>
</tr>
<tr>
<td>E1</td>
<td>Natural</td>
<td>Intensively dark</td>
<td>National Parks, Areas of Outstanding Natural Beauty etc.</td>
</tr>
<tr>
<td>E2</td>
<td>Rural</td>
<td>Low district brightness</td>
<td>Village or relatively dark outer suburban locations</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>E3</td>
<td>Suburban</td>
<td>Medium district brightness</td>
<td>Small towns centre or suburban locations</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>E4</td>
<td>Urban</td>
<td>High district brightness</td>
<td>Town/City centres with high levels of night time activity</td>
</tr>
</tbody>
</table>
84. The use of low energy LED lighting or Low-pressure sodium lamps (SOK) are recommended, which should be fitted with hoods to direct the light below the horizontal plane to minimize light-spill. Where necessary any security lighting will should not exceed 200 lumens (150 watts), and should be placed on a timer curfew setting and faced down to reduce sky glow. Height of any columns around the development should not exceed eight metres.
<table>
<thead>
<tr>
<th colspan="6">Obtrusive Light Limitations for Exterior Lighting Installations - General Observances</th>
</tr>
<tr>
<th>Environmental Zone</th>
<th>Sky Glow (Max %)</th>
<th>Luminaire Intensity (Lumens)</th>
<th>Luminance Intensity (Candelas)</th>
<th>Building Luminance (Pre-curfew)</th>
<th>Post-curfew</th>
</tr>
</thead>
<tbody>
<tr style="background-color: #f0f0f0;">
<td>E0</td>
<td>0%</td>
<td>0</td>
<td>0 (1)</td>
<td>0</td>
<td>0</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>E1</td>
<td>0%</td>
<td>2%</td>
<td>D(1%)</td>
<td>2,500</td>
<td>0</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>E2</td>
<td>2%</td>
<td>5%</td>
<td>D(1%)</td>
<td>7,500</td>
<td>500</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></tbody></table>
\*U.S. - Upward Light Ratio of the Installation is the maximum permitted percentage of luminaire flux that goes directly into the sky. Ev = Vertical Illuminance in Lux - measured flat on the glazing at the centre of the window. I = Light Intensity in Candela (cd) L = Lumiance in Candelas per Square Metre (cd/m²) Conditions: All lighting installations must comply with requirements (for the control of obtrusive light) will apply; often a condition of use of lighting applied by the local planning authority. If not otherwise stated - 23.0Ohms is suggested.
- Permitted only from Public road lighting installations
o Bird mitigation 85. Short-term, high-impact to individual nesting birds, which are considered to be both common and widespread on a National scale, is predicted under the proposed scheme. No impact to Barn Owl is predicted. Land at Sheen, SK170ET Preliminary Ecological Appraisal Final Issue (1) September 2019
o **Timing of works** 86. Any ground works or selected tree removal should be undertaken outside the bird breeding season (March to August inclusive). Where this is not possible, then a check for nesting birds should be undertaken by an ecologist prior to works. Selected tree removal and thinning-out of woodland understorey.
o **Exclusion work zones** 87. Any active bird nests should be left undisturbed until offspring have fully fledged. If necessary an exclusion work zone of 5m should be enforced to minimize disturbance and potential abandonment of nests.
88. In accordance with the Natural Environment and Rural Communities (NERC) Act 2006, development, it is recommended that a minimum of four general purpose bird nesting boxes (suitable for different species) should also be incorporated into the final scheme (being fitted to either mature trees or to external elevation of buildings where possible at height ca. 4-6m).
- Further information regarding nest boxes can be found on the RSPB website: http://www.rspb.org.uk/advice/helpingbirds/nestboxes/smallbirds/siting.aspx
o **Site safeguard measures** 89. Precautionary site safeguard measures should be holistically considered for all terrestrial taxa including reptiles, amphibians and small mammals.
- contractors working in the development area should be briefed on care and vigilance to minimize impact on any terrestrial based wildlife (i.e. small mammals / amphibians).
- Ground works will be undertaken in a systematic manner starting from west to east across site. This method is intended to corral any terrestrial based wildlife out into suitable habitat to the NE and SE of the site. (Please note: scrub removal should ideally be undertaken outside the bird breeding season - March to August inclusive).
- Care should be taken that all plant machinery remains within the proposed development boundary avoiding encroachment into the adjacent field compartment and margins.
- All building materials, rubble, bricks and soil should be stored only within existing areas of hard-standing and should be raised above ground level using either pallets, skips, or other suitable containers in order to prevent amphibians and/or reptiles from seeking refuge underneath them. Waste materials should be removed from site immediately or contained within skips.
- All open trenches and pipe work should be inspected at the start of each working day to ensure no animal is trapped.
- Any excavated trenches will be ‘closed’ in the same day to prevent any wildlife becoming trapped. If it is necessary to leave a trench open overnight then it should be sealed with a close-fitting plywood cover or a means of escape should be provided in the form of a shallow sloping earth ramp, skoped board or plank.
<img>A page from a document about ecological appraisal for land at Sheen, SK170ET.</img> Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
o **Care & Vigilance** * In the event that any species protected under current legislation is inadvertently encountered then all work will cease immediately. * If the animal is deemed to be injured or at risk or harm; then standard capture an exclusion method should be carried out by a licensed ecologist using gloves: * If necessary any such individual will be placed in a suitable, breathable receptor container and stored in the site office until further consultation with the appointed ecologist has been made.
o **Landscaping** 90. Under no circumstances should any plant species listed on Schedule 9 of the Wildlife and Countryside Act 1981 be used during the landscaping of this development. Further details of Schedule 9 listed plants can be found on the DEFRA website:www.defra.gov.uk/wildlife-pets/non-native. 91. Should any additional landscaping be considered at a later date, then it is recommended that only native tree and shrub species are planted. 92. Consideration should be given to tree root protection areas (RPAs) as specified in 'BS 5837: Trees in relation to design, demolition and construction'. Trees typically have relatively shallow but wide-spread root systems, although it is unusual for roots to penetrate to a depth greater than 2m, with 80-90 % of the widespread rooting structure to be found within the top 0.6 – 1.5m of the soil profile.
<img>A green leaf shape at the bottom right corner.</img> Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
______________________________________________________________________
**References**
- Bat Conservation Trust (2016). Bat Surveys – Good Practice Guidelines. 3rd Edition. Bat Conservation Trust: London.
- BSBI (2011). BSBI 2007 List. [Online]. Available at: http://www.bsbi.org.uk/html/database.html
- Channin, P. (2003a) Ecology of the European Otter. Conserving Natura 2000 Rivers, Ecology Series No. 10. English Nature, Peterborough.
- Channin, P. (2003b) Monitoring the Otter Lutra lutra. Conserving Natura 2000 Rivers Monitoring Series No. 10. English Nature, Peterborough.
- Countryside and Rights of Way Act 2000, (c.37), London: HMSO.
- English Nature (2004) Reptiles: guidelines for developers. Peterborough, UK:2
- Edgar, P., Foster, J. and Baker, J. (2010). Reptile Habitat Management Handbook: Amphibian and Reptile Conservation, Bournemouth.
- Froglife (1999) Reptile Survey: An introduction to planning, conducting and interpreting surveys for snake and lizard conservation. Froglife Advice Sheet 10. Froglife, Halesworth.
- Institute of Ecology and Environmental Management (2007). Guidelines for Ecological Impact Assessment in the United Kingdom. [Online]. Available at: http://www.ieem.net/fecla/
- Joint Nature Conservation Committee (2007) Handbook for Phase I Habitat Survey – a Technique for Environmental Audit. INCC: London.
- Kruuk, H. (2008) Otters: ecology, behaviour and conservation. Oxford University Press.
- Multi-Agency Geographical Information for the Countryside (2010). MAGIC. [Online].
- Natural Environment and Rural Communities Act 2006 (c.16), London: HMSO.
- Office of the Deputy Prime Minister (2005) Planning Policy Statement 9: Biodiversity and Geological Conservation. The Stationery Office, Norwich.
- Strachan, R., Moorhouse, T. and Gelling, M. (2011). Water Vole Conservation Handbook 3rd Ed. Environment Agency: English Nature. WildCRU, Oxford, UK.
- The Conservation (Natural Habitats, & c.) Amendment Regulations 2007, SI 2007/1843, London: HMSO.
- The Conservation of Habitats and Species Regulations 2010, SI 2010/490.
- The Protection of Badgers Act 1992 (c.51), London: HMSO.
- UK BAP (2008) Priority Habitat Descriptions [Online]. Available at: http://www.ukbap.org.uk/library/UKBAPPriorityHabitatDescriptionsfinalAllhabitats20081022.pdf
- Willifide and Countryside Act 1981 (and amendments) (c.69), London: HMSO.
<img>A green banner with a yellow border.</img> Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2013
o Appendices: Maps & forms :
Site plan location: Proposed application area boundary (red) (source: OS Maps).
<img>
A map titled "OS Sitemap" showing a proposed application area boundary marked in red. The map includes various buildings and streets labeled with their names.
</img>
\<page_number>1\</page_number> Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
Proposed architectural drawing
<img>A scanned architectural drawing showing two buildings with their respective floor plans. The top left building has a pitched roof and several windows. The bottom right building also has a pitched roof and several windows. Below these buildings are their respective floor plans.</img>
PROPOSED SEMI-DETACHED DWELLINGS FROM STREET, SHEEN, BIRMINGHAM
\<page_number>6\</page_number> <img>A green leaf design at the bottom right corner of the page.</img> Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
DWT Biological data records within 1km radius
<img>A map showing a circular area around a star marked "denotes centre of search". The map includes various roads, fields, and buildings.</img>
Contains Ordnance Survey data © Crown copyright and database right (2019) © Crown copyright and database right (2019) Derbyshire Wildlife Trust Licence no. 13004685 2019 P
Produced for Charnia Ecology by Derbyshire Biological Records Centre September 2019 Pown Street, Sheen
<img>Derbyshire Wildlife Trust logo with a black and white illustration of a bird and the text "Derbyshire Wildlife Trust" below it.</img> <watermark>Derbyshire Wildlife Trust</watermark> Land at Shees, SK17 DET Preliminary Ecological Appraisal Final Issue (1) September 2019
• Phase 1 habitat map
<watermark>
Lahadale Estates - Lihatai Amt.
Land at Shees to Power, Power, Power,
SK17 DET, NGR, SKA 1599/032
August 2019
</watermark>
<img>Aerial view of a land plot with different colored areas representing habitat types.</img> Land at Sheen, SK17 0ET Preliminary Ecological Appraisal Final Issue (1) September 2019
**4. Survey criteria / methodology**
☐ Bat tree survey methodology and criteria:
<table>
<thead>
<tr>
<th>Tree category and description</th>
<th>Farther action required</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Known or confirmed roost</strong></td>
<td></td>
</tr>
<tr>
<td>Evidence of bat roost is already confirmed</td>
<td>Consider revision of rating in this instance. Should the tree be considered suitable for bats, then sufficient effort to establish population data and further habitat assessment will be required before any further action is undertaken. Should disturbance and evolutive use be known that must be taken into account.</td>
</tr>
<tr>
<td><strong>High Roost Potential</strong></td>
<td></td>
</tr>
<tr>
<td>Trees with features such as:</td>
<td></td>
</tr>
<tr>
<td>- Large canopy, dead wood, pond/bowls, holes,</td>
<td>Any remedial works or removal of trees accessed as having HRP will necessitate further surveys to confirm suitability for bats. This should include a bat survey prior to works being carried out on the site and a continuing monitoring survey prior to works. Should evidence of bats be found, then a Further Precautionary Option licence will be required, and the next status of the site will be updated.</td>
</tr>
<tr>
<td>- Crotaline in major trees</td>
<td></td>
</tr>
<tr>
<td>- Dead wood present</td>
<td></td>
</tr>
<tr>
<td>- Dense epiphyte coverage</td>
<td></td>
</tr>
<tr>
<td>- Lodee bark</td>
<td></td>
</tr>
<tr>
<td>- Tree hollows present</td>
<td></td>
</tr>
<tr>
<td>- Driping/epiphytes</td>
<td></td>
</tr>
<tr>
<td><strong>Moderate Roost Potential</strong></td>
<td></td>
</tr>
<tr>
<td>Trees which exhibit once or more of the features described for HRP but are:</td>
<td>Any remedial works or removal of trees accessed as having HRP should be undertaken whilst the bat and fruiting season. Should bats be discovered Post may be delayed until bats leave, after all canes have fallen to reduce risk of injury to people.</td>
</tr>
<tr>
<td>- Dead wood present</td>
<td></td>
</tr>
<tr>
<td><strong>Low Roost Potential</strong></td>
<td></td>
</tr>
<tr>
<td>The only roost was found within an area of high-level disturbance is likely to provide few opportunities for roosting bats. Conversely, a mature tree forming part of a continuous, linear habitat would have high potential for commuting and roosting bats.</td>
<td>No further surveying work is recommended. Any remedial works or taking measures to undertake outside the birding season (March to September).</td>
</tr>
<tr>
<td><strong>Negligible Roost Potential</strong></td>
<td></td>
</tr>
<tr>
<td>Trees without notable features for bat utilisation</td>
<td>No further surveying work is recommended. Any remedial works or taking measures to undertake outside the birding season (March to September).</td>
</tr>
</tbody>
</table>
Roost assessment is based on the location of trees/structures in the surrounding landscape. For example; an immature tree species in an area of high-level disturbance is likely to provide few opportunities for roosting bats. Conversely, a mature tree forming part of a continuous, linear habitat would have high potential for commuting and roosting bats.
In the absence of any evidence, trees and structures were assigned a rating of suitability from negligible to high potential for supporting bats. The rating is based on the number and type of features suitable for use by bats (such as rot holes, cavities and raised banks), location of the structure in the surrounding landscape and surveyor’s experience (e.g. a structure with a high level of regular disturbance with few opportunities for access by bats, that is in a highly urbanised area with few or no mature trees, parkland, woodland or wetland would generally equate to having negligible potential). Conversely, a pre 20th century or early 20th century building with many features suitable for use by bats close to good foraging habitat would have high potential). Land at Sheen, SK37 DET Preliminary Ecological Appraisal Final Issue (1) September 2019
**AMPHIBIAN IDENTIFICATION SHEET**
<img>Smooth newt (Lissotriton vulgaris)</img> <img>Common toad (Bufo bufo)</img> <img>Palmate newt (Lissotriton helveticus)</img>
<img>Common frog (Rana temporaria)</img> <img>Natterjack toad (Epidalea calamita)</img> <img>Pool frog (Pelophylax lessonae)</img>
**PROTECTED LEGISLATION**
Common frogs are listed in Annex V of the Habitats Directive, and common frogs, common toads and smooth newts are listed under Schedule 5 of the WCA 1981 (as amended) and protected under section 9(5) only.
______________________________________________________________________
Land at Sheen, SK170ET Preliminary Ecological Appraisal Final Issue (1) September 2019
**5. Policy guidelines**
| PAS 2010 | The published 'PAS 2010' 'Planning to halt the loss of biodiversity' which is the government's new policy aimed at all authorities and developers involved in the planning process in the UK to halt biodiversity decline by 2010 and deliver net biodiversity gains as part of the green infrastructure provisions. | |---|---| | National Planning Policy Framework Section 11 | The recently published framework in 2012, replaces the previous Planning Policy Statement 9. Section 11: Conserving and enhancing the natural environment, reaffirms the Government's commitment to maintaining protections and preventing urban sprawl, whilst the protection of designated sites and protected areas is maintained. The quality of the natural environment, and halt declines in species and habitats, protects and enhances biodiversity and promotes wildlife corridors. | | Article 10 of the EC Habitats Directive | The published Article requires government to develop features such as 'stepping stones' on the landscape, such as clusters of ponds, tracks of rough grassland or scrubland and vegetated railway line embankments. | | Wildlife and Countryside Act 1981 | All species of bat are fully protected under the Wildlife and Countryside Act 1981, the European Conservation (Natural Habitats etc.) Regulations 1994, and the Countryside and Rights of Way Act 2000. This legislation makes it illegal to possess or control any live or dead specimens, to damage, destroy or obstruct access to any structure or place used for shelter, protection or breeding, and to intentionally disturb a bat while it is occupying a structure or place which is used for that purpose. | | Conservation of Habitats and Species Regulations (2016) | The Conservation of Habitats and Species Regulations 2010 consolidate all the various amendments made to the Conservation (Natural Habitats, etc.) Regulations 1994, in respect of England and Wales. It is an offence to possess, sell or offer, or transport for sale any European species of bat or any part derived from such a species. These Regulations also remove the 'incidental result defence'. In other words, it is no longer a defence to show that the killing, capture or disturbance of a bat was caused by the Regulation being breached. Where a killing, capture or disturbance of a bat was the incidental and unavoidable result of a lawful activity, Natural England can grant European Protected Species (EPS) licences in respect of development to permit activities that would otherwise be unlawful. | | Natural Environment and Rural Communities Act (2006) | Under Section 40 of the Natural Environment and Rural Communities Act (2006), public bodies, including Local and Regional Planning Authorities, have a duty to 'have regard' to the conservation of biodiversity in England when carrying out their normal functions, where this is relevant to their functions. In addition, under Section 43(3) of the Act, the Secretary of State has published a list of species considered to be of principal importance for conserving biodiversity in England. This is known as the England Biodiversity List, all of which make up the UK BAP Priority Species. Regional Planning Bodies are required to identify priority habitats within their regions which should be afforded priority to maintain, restore and enhance species and habitats. | | Bird legislation | Most resident nesting birds are protected under the Wildlife and Countryside Act 1981, which protects birds, nests, eggs and nestlings. Some rarer species, such as barn owls, are afforded extra protection.
**Table A. Policy guidelines.** Land at Sheen, SK17 DET Preliminary Ecological Appraisal Final Issue (1) September 2019
6. Glossary (Term/Definition)
**Biodiversity Action Plan (BAP) :** The UK Government’s response to the Convention on Biological Diversity (CBD), which the UK signed up to in 1992 in Rio de Janeiro. The CBD requires signatory countries to identify, develop and enforce action plans to conserve, protect and enhance biological diversity. The UK BAP addresses this requirement. Local BAPs (LBAPs) have been produced by many counties, to detail measures to conserve, protect and enhance local/country biodiversity.
**Establishment Phase:** Three to five-year period following the planting or spreading of seed, during which time plants will spread roots and become stabilized. Period of monitoring in order to ensure the replacement of any plants which do not survive as required to prevent a significant gap in planting.
**Local Wildlife Site (LWS):** Local authority designation for sites of local conservation interest. Designation criteria can vary between areas, as can titles which include Local Wildlife Site (LWS), Local Nature Conservation Site (LNS), Site of Importance for Nature Conservation (SINC), or Site of Nature Conservation Importance (SNCI). These designations are used when planning applications are being determined under the Town and Country Planning system and are a material consideration when planning applications are being determined.
**Ramsar site:** Designated under the Convention on Wetlands of International Importance, agreed in Ramsar, Iran, in 1971. Originally intended to protect sites of importance primarily as waterfowl habitat, now covers all aspects of wetland conservation and sympathetic use for the benefit of man.
**Site of Importance for Nature Conservation (SINC):** Alternative title to Local Wildlife Site, as defined above. Defined in local and structure plans under the Town and Country Planning system. The designation is a material consideration when planning applications are being determined.
**Site of Nature Conservation Importance (SNCI):** Alternative title to Local Wildlife Site, as defined above. Defined in local and structure plans under the Town and Country Planning system. The designation is a material consideration when planning applications are being determined.
**Sites of Special Scientific Interest (SSSI):** Designed since 1949 to protect the best examples of the UK’s flora, fauna, geology or physical features. The SSSIs may extend into intertidal areas out to the jurisdictional limit of local authorities, generally Mean Low Water in England. Originally notified under the National Parks and Access to the Countryside Act 1949, but renotified under the Wildlife and Countryside Act 1981 (as amended).
**Special Areas of Conservation (SAC):** Sites designated under the EC Habitats Directive, which have been identified as best representing the range and variety within the European Union of habitats and (non-bird) species listed on Annexes I and II to the Directive. In terrestrial areas these are designated under the Conservation of Habitats and Species (Amendment) Regulations 2012 (Habitats Regulations).
**Special Protection Area (SPA):** Site classified by the UK Government under the EC Birds Directive. The Directive applies only to those parts of British territorial waters off Great Britain. Sites comprise one or more important habitat for rare birds listed on Annex I to the Directive and for migratory birds within the European Union. In terrestrial areas the sites are classified under the Wildlife and Countryside Act 1981 (as amended).
**Wetland:** As defined under the Ramsar Convention 1971: areas of marsh, fen, peatland or water, whether natural or artificial, permanent or temporary, with water that is static or flowing, fresh, brackish or salt, including areas of marine water the depth of which at low tide does not exceed six metres; riparian and coastal zones adjacent to the wetlands, and islands or bodies of marine water deeper than six metres at low tide lying within the wetlands.
**Woodland:** As described under the Phase 1 habitat survey guidelines (JNCC 2010); vegetation dominated by trees more than 5 m high when mature, forming a distinct, although sometimes open canopy. In accordance with Natural England’s guidance for Environmental Stewardship (Natural England 2010) woodland parcels should be a minimum size of 0.1 ha, and could include a young group of trees with a grass understory.
<img>A page from a document titled "Land at Sheen, SK17 DET Preliminary Ecological Appraisal Final Issue (1) September 2019". It contains sections on glossary terms such as Biodiversity Action Plan (BAP), Establishment Phase, Local Wildlife Site (LWS), Ramsar site, Site of Importance for Nature Conservation (SINC), Site of Nature Conservation Importance (SNCI), Sites of Special Scientific Interest (SSSI), Special Areas of Conservation (SAC), Special Protection Area (SPA), Wetland, and Woodland.</img> Land at Sheen, SK17 OET Preliminary Ecological Appraisal Final Issue (1) September 2019
7. Protected species survey calendar.
<img>
<table>
<tr>
<td><img>Protected species survey calendar</img></td>
<td><img>Other survey periods</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</img></td>
</tr>
<tr>
<td><img>Bird surveys</img></td>
<td><img>Bird surveys</i
Land at Sheen, SK17 OET
Preliminary Ecological Appraisal
Final Issue (1) September 2019
8. Conditions & disclaimers
<img>Charmia Ecology logo</img> "Foxglove Cottage", Boundary, Nr. Cheadle, Staffordshire, ST30 2NU
Services This statement has been prepared with all reasonable skill, care and diligence, within the terms of the contract with the client. The actions of the surveyor on site and during the production of the report were undertaken in accordance with the Code of Professional Conduct of the Chartered Institute of Ecology and Environmental Management (www.cieem.org.uk). No part of this document may be reproduced without the prior written approval of Charmia Ecology.
✓ Should any part of this report be lost, or altered without the written consent of the author, then the entire report becomes invalid. ✓ The general format of reports is a certified product and cannot be shown, copied or distributed to third parties without the permission of the author. No liability is accepted for the contents of the report, other than to that of the client(s). ✓ The report will purport not to express any opinion or comment as to the condition or structural integrity of any building; and no reliance should be made on any such comments other than description regarding suitability of species. ✓ Every attempt has been made to provide an accurate ecological assessment under the current wildlife legislations at the time of surveying. The author cannot be made accountable for stochastic events over space and time. ✓ The author remains impartial to any decision making and attempts only to make recommendations in the interests of conserving protected species and biodiversity, whilst acknowledging sustainable development.
<watermark>Charmia Ecology logo</watermark>
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<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchase_Order_Number</th>
<th>Order_Date</th>
<th>Total_Value</th>
<th>Supplier_Name</th>
<th>Account_Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Rochdale Borough Council</td>
<td>e1025225</td>
<td>01/10/2019</td>
<td>E18.160.8 K P DODGE CONSTRUCTION LIMITED</td>
<td>MNDR BUILDING WORKS</td>
<td>ADULT CARE LCO FUNCTIONS</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>s1025235</td>
<td>01/10/2019</td>
<td>E18.160.8 K P DODGE CONSTRUCTION LIMITED</td>
<td>MNDR BUILDING WORKS</td>
<td>ADULT CARE LCO FUNCTIONS</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d1028969</td>
<td>01/10/2019</td>
<td>E8.675.0 ROE PROJECT MANAGEMENT LTD</td>
<td>OTHER-PROJECT PROVISION</td>
<td>ELRARY HELP AND SCHOOLS NEIGHBOURHOODS AND ENVIRONMENT RESOURCES</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d084645</td>
<td>01/10/2019</td>
<td>E8.675.0 ROE PROJECT MANAGEMENT LTD</td>
<td>ARCHITECTS FEES</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>b1033200</td>
<td>01/10/2019</td>
<td>E3.000.0 REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA - REDACTED - PERSONAL DATA 462.600.8 INSPIREDSPACES ROCHELLE PROJECTCOT2 LTD.</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1028989</td>
<td>01/10/2019</td>
<td>E426.600.8 INSPIREDSPACES ROCHELLE PROJECTCOT2 LTD.</td>
<td>FI SCHENEMS RPX</td>
<td>ELRARY HELP AND SCHOOLS RESOURCES ECONOMY DIRECTORATE PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET</td><td></td></tr>
<tr>
<td>Rochdale Borough Council</td>
<td>b1036531</td>
<td>01/10/2019</td>
<td>E46.694.7 MANCHESTER CITY COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.54 BALFOUR BEATTY LIVING PLACES 637.989.</td><td></td><td></td></tr><tr>
<td>Rochdale Borough Council</td>
<td>b1022221</td>
<td>01/10/2019</td>
<td>E12,222,21 ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMY DIRECTORATE ECONOMYE Directorate Public Health Neighbourhoods and Environment Resourses Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOURHOODS AND ENVIRONMENT RESOURCES BATTERSEA FUND POOLED BUDGET PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIGHBOUROHDS AND ENVIROMENTRESources Battersea Fund Pooled Budget PUBLIC HEALTH NEIG...</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Purchase_Order_Number<br>Rochdale Borough Council<br>d1025225<br>e1025235<br>s102523<br>t102523<br>r102523<br>p102523<br>b10252<br>c10252<br>a10252<br>x10252<br>y10252<br>w10252<br>v10252<br>u10252<br>t1025<br>s102<br>r10<br>p1<br>b<br>c<br>a<br>x<br>y<br>w<br>v<br>u<br>t<br>s<br>r<br>p<br>b<br>c<br>a<br>x<br>y<br>w<br>v<br>u<br>t<br>s<br>r<br>p<br>b<br>c<br>a<br>x<br>y<br>w<br>v<br>u<br>t<br>s<br>r<br>p<br>b<br>c<br>a<br>x<br>y<br>w<br>v<br>u<br>t<br>s<br>r<br>p<br>b<br>c<br>a<br>x<br>y<br>w<br>v<br>u<br>t<br>s<br>r...<br>d<page_number>...</page_number></thead><tbody style="border-top: none;">
<tr style="background-color: #faffff;">
<th>Purchase_Order_Number
Rochdale Borough Council
d10252
e1025
s10
t
r
p
b
c
a
x
y
w
v
u
t
s
r
p
b
c
a
x
y
w
v
u
t
s
r
p
b
c
a
x
y
w
v
u
t
s
r
p
b
c
a
x
y
w
v
u
t
s
r...
d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_number></tr><tr style="background-color: #faffff;">
<th>Purchase_Order_Number RCHDALEBOROUGHCOUNTCY council d<page_number>...</page_numer...
<table>
<thead>
<tr>
<td>Rochdale Borough Council</td>
<td>0108169</td>
<td>08/10/2019</td>
<td>E793.900 NEL LEARNING LIMITED</td>
<td>TRANSMING</td>
<td>CHILDREN'S SOCIAL CARE</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>p103952</td>
<td>09/10/2019</td>
<td>E9.833.61 RS PRODUCTS LTD</td>
<td>CONTRACTED SERVICES</td>
<td>PUBLIC HEALTH</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>0108169</td>
<td>10/10/2019</td>
<td>E3,280.00 LKINCLAFE CHARITY LTD</td>
<td>ACTIVITIES</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>0108169</td>
<td>10/10/2019</td>
<td>E3,280.00 LKINCLAFE LANDSCAPES LIMITED</td>
<td>ENVIRONMENTAL WORKS LANDSCAPE</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d002969</td>
<td>10/10/2019</td>
<td>E113.468.00 NWB XORAX LTD</td>
<td>MNDR BUILDING WORKS</td>
<td>ECONOMY DIRECTORATE</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>f102626</td>
<td>10/10/2019</td>
<td>E25.193.83 BRAHAM FUNDCO 2 LTD</td>
<td>PFI SECIEMES RPI</td>
<td>NEEDED HELP AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOURHOODS AND ENVIRONMENT NEIGHBOUR HOOSDANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENNTNEIGHBORHOOANDENVIRONMENTNEIGNBROUHDNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANNDNOUDSDANDD 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ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIRECT ORATE ECONOMY DIREC TORA TE ECONOM Y DIREC TORA TE ECON OM Y DIREC TORA TE ECO NMY DIREC TORA TE EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLS EARLY HELP AN D SCHOOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A NDSCH OOLSEARL YHEL P A N DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO SE AR LYE HLP EN DS CHOLO 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EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDN SCH OLSES ELAYELP EDNSCHELLAISWELLTD 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577747 577748 58334 GT M ELECTRICAL SERViCES LIMITED COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL COUNTRY COUNCIL
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<th>Rochdale Borough Council</td><td>e102683t</td><td>16/12/2019</td><td>E2.600.0 KIDNA EDUCATION ROCHADE LIMITED</td><td>COP - DEV - NEW CONSTRUCTION CONVERSION</td><td>COUNTRY COUNCIL - DEVELOPMENT - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSION - NEW CONSTRUCTION CONVERSIOON - NEW CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO NTRODUCTION CO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRODUTIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCO INTRADITIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATIONCODERATION COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ERATI ON COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION COD ER ATION CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RATIONS CODE RITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONSCODERITIONS
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<th>Rochdale Borough Council</td><td>e102683t</td><td>16/12/2019</td><td>E2.600.0 KIDNA EDUCATION ROCHADE LIMITED</td><td>COP - DEV - NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTR UCTION-NEW CONTRACTIOON-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDITION-COP-RONDI TION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTION-D COP-SOTIONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS-OCTAONS
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<th>Rochdale Borough Council</td><td>e102683t</td><td>16/12/2019</td><td>E2.600.0 KIDNA EDUCATIO ROCHADE LIMITED</td><td>C OP-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CNSTRUC TIO-N EVW CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR UC TIOn-CN STR OC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I OnCN STOC I
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<th>Rochdale Borough Council</td><td>e102683t</td><td>16/12/2019</td><td>E2.600.0 KIDNA EDUCATIO ROCHADE LIMITED</td><td>C OP-N EW VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCSTRU CTIV-EV W VNCST RU CI OTIN-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT-V NCSTDUT
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<td>Rochdale Borough Council</td>
<td>d102585</td>
<td>17/10/2019</td>
<td>E51.109.00 UPS BUILDING AND MAINTENANCE LTD</td>
<td>MNOR BUILDING WORKS</td>
<td>ADULT CARE LCO FUNCTIONS</td>
</tr>
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<td>Rochdale Borough Council</td>
<td>d302640</td>
<td>17/10/2019</td>
<td>E3.297.65 UNIVERSAL RENEWABLES A AND M LTD</td>
<td>MNOR BUILDING WORKS</td>
<td>PROPERTY AND HIGHWAYS</td>
</tr>
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<td>Rochdale Borough Council</td>
<td>d102529</td>
<td>17/10/2019</td>
<td>E8.734.84 UPS BUILDING AND MAINTENANCE LTD</td>
<td>TRANSACTIONS-EXPENDITURE</td>
<td>ADULT CARE LCO FUNCTIONS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d102584</td>
<td>17/10/2019</td>
<td>E8.734.84 UPS BUILDING AND MAINTENANCE LTD</td>
<td>MNOR BUILDING WORKS</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d102529</td>
<td>17/10/2019</td>
<td>E6,317.47 UPS BUILDING AND MAINTENANCE LTD</td>
<td>MNOR BUILDING WORKS</td>
<td>ADULT CARE LCO FUNCTIONS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d201887</td>
<td>17/10/2019</td>
<td>E5,541.72 IHPU NETWORKS LTD</td>
<td>PURCHASE OF ICT HARDWARE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d102583</td>
<td>17/10/2019</td>
<td>E5,541.72 IHPU NETWORKS LTD</td>
<td>MNOR BUILDING WORKS</td>
<td>ADULT CARE LCO FUNCTIONS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d102529</td>
<td>17/10/2019</td>
<td>E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LTD E3,321.64 UPS BUILDING AND MAINTENANCE LT D O 8 7 0 7 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 9 D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O T H O U G H S T R U S T D O .T .H .O .U .G .H .S .T .R .U .S .T .D .O .T .H .O .U .G .H .S .T .R .U .S .T .D .O .T .H .O .U .G .H .S .T .R .U .S .T .D .O .T .H .O .U .G .H .S .T .R .U .S .T .D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O.T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O.U.G.H.S.T.R.U.S.T.D.O..T.H.O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_H_S_T_R_U_S_T_D_O..T_H_O_U_G_
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<td>Rochdale Borough Council</td>
<td>0184807</td>
<td>26/10/2019</td>
<td>E$3,240.00 HIGH PEAK FORNSCHCS LTD</td>
<td>OTHER POST MORTEMS</td>
<td>NIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d030295</td>
<td>26/10/2019</td>
<td>E$2,868.00 STEVE GREEN ELECTRIC LTD</td>
<td>MNDR BUILDING WORKS</td>
<td>PROPERTY AND HIGHWAYS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029491</td>
<td>26/10/2019</td>
<td>E$1,487.95 PENNIE CARE MHS</td>
<td>HEALTH, AUTH.-SERVICE LEVEL AGREEMENT</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>0123264</td>
<td>26/10/2019</td>
<td>E$3,575.00 ROSSDALE HOSPITAL LT<p>OTHER LA 5 - SEN PROVISION</p></td>
<td>COMMODITY SURVEYS<br>RENTS<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION<br>ACCOMMODATION</p></td>
<td>NIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>p102655</td>
<td>26/10/2019</td>
<td>E$6,617.93 BRAHMA FUNDCO 1 LTD</td>
<td>PUBLIC HEALTH</td>
<td>NIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d084797</td>
<td>26/10/2019</td>
<td>E$5,500.00 G AND A TAYLOR HOTELS LTD<p>BUILDING WORKS - OTHER LA 5 - SEN PROVISION - CHESTERWEST WEST AND CHESTER COUNCIL - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE - ECONOMY DIRECTORATE - ENVIRONMENTAL WORKS LANDSCAPE</p></td>
<td>NIGHBOURHOODS AND ENVIROMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d084797</td>
<td>26/10/2019</td>
<td>E$5,500.00 G AND A TAYLOR HOTELS LTD<p>BUILDING WORKS OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISION CHESTERWEST WEST AND CHESTER COUNCIL ECONOMY DIRECTORATE ENVIROMETRAL WORKS LANDSCAPES OTHER LA 5 SEN PROVISIONCHESTERTON GUEST HOUSE CONTRACTED SERVICES ADOPITION PRACTICES CHILDREN'S SOCIAL CARE EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONS ADULT CARE LCCO FUNCTIONSEARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELP AND SCHOOLS EARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLY HELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSEARLEYHELPAND SCHOOLSESCHOLAREarly Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLY Help and SchoolsEARLAYHelpand Schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearly helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolsearley helpand schoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchoolseschoolsEarly Help and SchooleschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarly Help And SchoolesschoolsEarley Health Caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health caresschooleary health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley health careservicesearley healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services earl ey healtcheart services耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护理服务耳利健康护
<table>
<thead>
<tr>
<td>Rochdale Borough Council</td>
<td>D018467</td>
<td>08/11/2019</td>
<td>E1.500.00 GROUNDWORKS, LANDSCAPES LIMITED</td>
<td>ENVIRONMENTAL WORKS LANDSCAPE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT<br>NEIGHBOURHOODS AND ENVIRONMENT<br>NEIGHBOURHOODS AND ENVIRONMENT<br>EARLY HELP AND SCHOOLS<br>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D018465</td>
<td>07/11/2019</td>
<td>E1.500.00 STREAMLINE TAXES</td>
<td>TAX HIRE<br>TAX HIRE</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D018466</td>
<td>03/02/2021</td>
<td>E5.700.00 MOLDONET CARS</td>
<td>MOLDONET CARS LIMITED</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D018467</td>
<td>03/02/2021</td>
<td>E5.700.00 MOLDONET CARS LTD</td>
<td>MOLDONET CARS LTD</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D102911</td>
<td>07/11/2019</td>
<td>E34.598.20 AXION EDUCATION ROCHELDALE LIMITED</td>
<td>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE<br>MEALS<br>TRANSACTIONS EXPENDITURE</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D018468</td>
<td>07/11/2019</td>
<td>E34.598.20 STANDARD FUEL OILS LIMITED</td>
<td>AIRPORT FUEL OILS LIMITED</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D018467</td>
<td>07/11/2019</td>
<td>E34.598.20 STANDARD FUEL OILS LIMITED</td>
<td>AIRPORT FUEL OILS LIMITED</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D018467</td>
<td>07/11/2019</td>
<td>E34.598.20 STANDARD FUEL OILS LIMITED</td>
<td>AIRPORT FUEL OILS LIMITED</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D035743</td>
<td></td>
<td>E6.000.00 2 J LEWIS BUILDERS MERCHANTS LIMITED UTD.</td>
<td>POTENTIAL PROJECTS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 - PROPERTY - WORKS ELEMENT 3 </td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D102579</td>
<td></td>
<td>E5,115.84 UPS BUILDING AND MAINTENANCE LTD UTD.</td>
<td>SERVICE CONTRACT SERVICES LTD UTD.</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D102585</td>
<td></td>
<td>E5,115.84 UPS BUILDING AND MAINTENANCE LTD UTD.</td>
<td>SERVICE CONTRACT SERVICES LTD UTD.</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D102582</td>
<td></td>
<td>E6,796.66 SHEBRADAY LFTTS LTD UTD.</td>
<td>MANAGEMENT SERVICES LTD UTD.</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>D102582</td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table cellspacing="none">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th colspan="4">Rochdale Borough Council (D) (U) (E)</th></tr></thead>
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th style="width: auto;">Rochdale Borough Council (D)</th></tr>
<tr style="text-align: center;">
<th style="width: auto;">D1025867 (U) (E)</th></tr>
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<th style="width: auto;">D1025867 (U) (E)</th></tr>
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<th style="width: auto;">D1025867 (U) (E)</th></tr>
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<th rowspan_="" colspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""><tbody class=""><tr class=""><th colspan="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></tbody></table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}</tbody>}</table>}
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<tbody class="">
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<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
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<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
<rowspan_="">Rochdale Borough Council(D)(U)(E)<table cellspacing="" cellpadding="" border=""></thead>}
<tbody class="">
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>Rochdale Borough Council(D)
</tfoot
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>Rochdale Borough Council(U)
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>Rochdale Borough Council(E)
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>Rochdale Borough Council(U)
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><tfoot
>Rochdale Borough Council(E)
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><tfoot
>Rochdale Borough Council(U)
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>Rochdale Borough Council(E)
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>Rohdale borough council(u)
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>Rohdale borough council(e)
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>Rohdale borough council(u)
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>Rohdale borough council(e)
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>Rohdale borough council(u)
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>Rohdale borough council(u)
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>Rohdale borough council(e)
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>Rohdale borough council(u)
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>Rohdale borough council(e)
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<table>
<thead>
<tr>
<td>Rochdale Borough Council</td>
<td>r018317</td>
<td>14/11/2019</td>
<td>E8.365.00 PCHNIE CARE MH</td>
<td>NZEREDENT UNITNS</td>
<td>BETTER CARE FUND POOLED BUDGET</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d108078</td>
<td>14/11/2019</td>
<td>E8.100.10 HORTYAGATE VEHICLE LIMITED</td>
<td>TRANSACTIONS-EXPENDITURE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d003972</td>
<td>15/11/2019</td>
<td>E50.000.00 WATERMAN INFRASTRUCTURE AND ENVIRONMENT LTD</td>
<td>ENGINEERS FEES</td>
<td>PROPERTY AND HIGHWAYS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d003783</td>
<td>15/11/2019</td>
<td>E50.000.00 WATERMAN INFRASTRUCTURE AND ENVIRONMENT LTD</td>
<td>PARTNERSHIP SERVICES (UK)</td>
<td>COMMUNICATION AND COMPUTING - GENERAL</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d001968</td>
<td>15/11/2019</td>
<td>E14.359.00 UPDATA INFRASTRUCTURE UK LTD.</td>
<td>PURCHASE OF VEHICLES</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d085987</td>
<td>18/11/2019</td>
<td>e466.764.00 WOODALL NICHOLSON LIMITED</td>
<td>MULTIMEDIA SERVICES (UK) LTD</td>
<td>PROPERTY AND HIGHWAYS</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d085987</td>
<td>18/11/2019</td>
<td>E53.181.44 ROCHDALE E BOROUGHWIDE HOUSING SELLER'S FUND LTD.</td>
<td>BASIC WAGES<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROADWORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>ROAD WORKS<br>LIVING ROOM FURNITURE LTD.</td>
<td>BASIC WAGES AND HIGHWAYS AND ENVIRONMENT</td>
<td></td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d023264</td>
<td></td>
<td>E25.500.00 ROCHDALE DEVELOPMENT AGENCY LIMITED (UK)</td>
<td>MNRB BUILDING WORKS</td>
<td>AUTOMATIC CAR LOAN FUNCTIONS</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr>
<td>Rochdale Borough Council</td>
<td>c0125425</td>
<td></td>
<td></td>
<td>MNRB BUILDING WORKS</td>
<td>PARTNERSHIP SERVICES (UK) LTD.</td></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 2px solid black;">
<th colspan="6">ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR (INCLUSIVE OF ANY ADDITIONAL PAYMENTS FOR THE 2023-24 FISCAL YEAR THAT ARE NOT ALREADY REFLECTED IN THE ABOVE AMOUNT).</th></tr>
<tr style="border-top: 5px double black;border-bottom: none;">
<table>
<thead>
<tr>
<th>Rochdale Borough Council</th>
<th>e102638</th>
<th>26/11/2019</th>
<th>E33,298.00 HORIZON CARE AND EDUCATION</th>
<th>OTHER LA'S - SEN PROVISION</th>
<th>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029423</td>
<td>26/11/2019</td>
<td>E31,013.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029366</td>
<td>26/11/2019</td>
<td>E12,444.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029353</td>
<td>26/11/2019</td>
<td>E17,555.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029234</td>
<td>26/11/2019</td>
<td>E12,150.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029240</td>
<td>26/11/2019</td>
<td>E12,150.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029241</td>
<td>26/11/2019</td>
<td>E12,550.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029242</td>
<td>26/11/2019</td>
<td>E12,550.00 HORIZON CARE AND EDUCATION</th>
<td>OTHER LA'S - SEN PROVISION</th>
<td>EARLY HELP AND SCHOOLS</th>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029244</td>
<td>26/11/2019</td>
<td>E3,888.00 WSP LTD UK - HEALTHCARE SERVICES LTD (REVENUE) (REVENUE)</th>
<td>OTHER LA'S - SEN PROVISION<br>INDEPENDENT UNITS<br>OCCUPANCY MANAGEMENT<br>MNR BUILDING WORKS<br>PURCHASE OF ICT HARDWARE<br>AGENCY STAFF<br>TREE, SHRUBS, PLANTS<br>DIRECT PAYMENT - SEN PROVISION<br>ACTION 777 - SEN PROVISION<br>ACTION 778 - SEN PROVISION<br>ACTION 779 - SEN PROVISION<br>ACTION 780 - SEN PROVISION<br>ACTION 781 - SEN PROVISION<br>ACTION 782 - SEN PROVISION<br>ACTION 783 - SEN PROVISION<br>ACTION 784 - SEN PROVISION<br>ACTION 785 - SEN PROVISION<br>ACTION 786 - SEN PROVISION<br>ACTION 787 - SEN PROVISION<br>ACTION 788 - SEN PROVISION<br>ACTION 789 - SEN PROVISION<br>ACTION 790 - SEN PROVISION<br>ACTION 791 - SEN PROVISION<br>ACTION 792 - SEN PROVISION<br>ACTION 793 - SEN PROVISION<br>ACTION 794 - SEN PROVISION<br>ACTION 795 - SEN PROVISION<br>ACTION 796 - SEN PROVISION<br>ACTION 797 - SEN PROVISION<br>ACTION 798 - SEN PROVISION<br>ACTION 799 - SEN PROVISION<br>ACTION 800 - SEN PROVISION<br>ACTION 801 - SEN PROVISION<br>ACTION 802 - SEN PROVISION<br>ACTION 803 - SEN PROVISION<br>ACTION 804 - SEN PROVISION<br>ACTION 805 - SEN PROVISION<br>ACTION 806 - SEN PROVISION<br>ACTION 807 - SEN PROVISION<br>ACTION 808 - SEN PROVISION<br>ACTION 809 - SEN PROVISION<br>ACTION 810 - SEN PROVISION<br>ACTION 811 - SEN PROVISION<br>ACTION 812 - SEN PROVISION<br>ACTION 813 - SEN PROVISION<br>ACTION 814 - SEN PROVISION<br>ACTION 815 - SEN PROVISION<br>ACTION 816 - SEN PROVISION<br>ACTION 817 - SEN PROVISION<br>ACTION 818 - SEN PROVISION<br>ACTION 819 - SEN PROVISION)<br>PURCHASE OF FURNITURE AND EQUIPMENT (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURCHASE OF PERSONAL ITEMS (REVENUE)<br>PURPOSES FOR THE YEAR ENDING SEPTEMBER 30TH, 2023) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES) RESEARCH & DEVELOPMENT EXPENSES)</th><th>OTHER LA'S - Sen Provision <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA'S <hr/> OTHER LA.'
<table>
<thead>
<tr>
<td>Rochdale Borough Council</td>
<td>r010289</td>
<td>04/12/2019</td>
<td>E341.796.3 INSPIREDSPACES ROCHDALE PROJECT CO1 LTD</td>
<td>PFI SCHEMES RPX</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>r1002342</td>
<td>04/12/2019</td>
<td>D34.362.47 ROCHDALE DEVELOPMENT AGENCY CAPITAL SALARIES</td>
<td>CAPITAL SALARIES</td>
<td>ECONOMY DIRECTORATE</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>r1002341</td>
<td>04/12/2019</td>
<td>E18.615.63 ROCHDALE DEVELOPMENT AGENCY CAPITAL SALARIES</td>
<td>CAPITAL SALARIES</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT PUBLIC HEALTH AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d0023032</td>
<td>04/12/2019</td>
<td>E5.875.87 ROCHDALE DEVELOPMENT AGENCY SOFTWARE</td>
<td>SOFTWARE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT PUBLIC HEALTH AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d0023024</td>
<td>04/12/2019</td>
<td>E8.200.97 NATIONAL CONSORTIUM FOR EXAMINATION RESULTS SOFTWARE</td>
<td>SOFTWARE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT PUBLIC HEALTH AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d085579</td>
<td>04/12/2019</td>
<td>E7.332.40 GROUNDCOREWORKS LANDSCAPES LIMITED ENVIRONMENTAL WORKS LANDSCAPE MANAGEMENT SERVICES (ECS) CONTRACT 3/2021 LTD HIRE OF EQUIPMENT RPV EARLY HELP AND SCHOOLS</td>
<td>HIRE OF EQUIPMENT RPV CONTRACTS RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCES RESOURCESRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESourcesRESsourcesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResoucesResouclesResoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesReoecesREsorcsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsREsoecsRESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoeCs RESoe Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So Cs Re So C
<table>
<thead>
<tr>
<td>Rochdale Borough Council</td>
<td>1108581</td>
<td>11/22/2019</td>
<td>E36.000.00 FORBES SOLICITORS</td>
<td>INPUT VAT - ADJUSTMENTS</td>
<td>RESOURCES</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>1108576</td>
<td>11/22/2019</td>
<td>E36.400.00 NORTHCOTE PUBLIC SERVICES UK LTD</td>
<td>SOFTWARE</td>
<td>RESOURCES</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029330</td>
<td>11/22/2019</td>
<td>E26.596.67 RUSINN MILL TRUST</td>
<td>OTHER EST. - SEN PROVISION</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1029332</td>
<td>11/22/2019</td>
<td>E36.400.00 NORTHCOTE GROUP SPOONS</td>
<td>OTHER L.A. - SEN PROVISION</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d002398</td>
<td>11/22/2019</td>
<td>E10.000.00 EXCLUDED WORKS</td>
<td>SECURITY</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT RESOURCES</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>11065875</td>
<td>11/22/2019</td>
<td>E7.593.38 ALPHATECH PERSONAL AND DATA SERVICES LTD</td>
<td>PUBLISHING & STATIONERY</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>e1024378</td>
<td>11/22/2019</td>
<td>E36.400.00 THE DREWES LIMITED (UK) LTD.</td>
<td>OTHER L.A. - SEN PROVISION</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>t002354</td>
<td>11/22/2019</td>
<td>E137.309.56 GENBR ROCHDALE LTD.</td>
<td>COUNCILS FEES - CONSULTANTS FEES</td>
<td>ECONOMY DIRECOTRY</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>w1053556</td>
<td>11/22/2019</td>
<td>E34.484.96 IN C OMPACTA LTD.</td>
<td>CONTRACTS - CONTRACTS FEES</td>
<td>BETTER CARE FUND POOLED BUDGET ECONOMY DIRECOTRY OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION OTHER L.A. - SEN PROVISION Other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s other l.a.s 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<td>e1008603</td>
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<td>Rochdale Borough Council</td>
<td>r1002376</td>
<td>19/12/2019</td>
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<td>CONSULTANTS FEES</td>
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<td>Rochdale Borough Council</td>
<td>r1002377</td>
<td>19/12/2019</td>
<td>E41,950.00 WSP LTD UK</td>
<td>CONSULTANTS FEES</td>
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<td>Rochdale Borough Council</td>
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<td>Rochdale Borough Council</td>
<td>f1008598</td>
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<td>FEES / COMMISSION</td>
<td>RESOURCES</td>
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<td>Rochdale Borough Council</td>
<td>x1019153</td>
<td>20/12/2019</td>
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<td>AGENCY STAFF</td>
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<td>Rochdale Borough Council</td>
<td>x1068667</td>
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<td>Rochdale Borough Council</td>
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<td>25/12/2019</td>
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<td>EXTERNALLY MANAGED FUNDS - EARLY HELP AND SCHOOLS - ADULTS WITH DISABILITIES FUNCTIONS - ADULT CARE LOI FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO FUNCTIONS - ADULT CARE LLO Functions)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
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<td>Rochdale Borough Council</td>
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<th colspan="3">Rochdale Borough Council e1029414 24/12/2019 E34,410.14 CAMBAN CHILDCARE LIMITED OTHER LA 9. SEN PROVISION AGM.</th></tr></tbody></table>
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# Awdurdodau Ileol
Rydym ni'n gweithio'n agos gydag awdurddodau lleol yn y DU i helpu i sicrhau bod bwyd yn diogelg ac yn onest. Mae gennym gytundebau a phrotociau ar waith i gefnogi awdurddodau lleol yn eu gwahit a thol anweiniad i esbonio'r rheoliadau a sut y gellir eu cymhwysy o fusnesau bwyd.
**Find feed and food codes of practice**
**Contact your local food safety team**
## Hwyluso Cyfathrebu yr ASB
Fel rhan o ddatblyg' rhfordd yr dywm ni'n cyfathrebu gydag awdurddodau lleol yn barhaus, ac yn darparu adnoddau iddynt er mwyn cyflawni eu rolau'n effeithiol, rydyw ni wedi creu llwyfan Hwyluso Cyfathrebu yr ASB: llwyfan i alluogi cyfathrebu, cydweithio ac adnoddau sydd wedi'u targefu at swyddogion awdurddodau lleol sy'n gweithio ym meysyd golforfi bwyd a bwyd anifeiliaid.
Y llwyfan hwn fyyd y prif borthi i awdurddodau lleol ddod o hyd i adnoddau fel ffurflenni, templedi, pyncennu cymorth a chanllawiau. Bydd swyddogion hedyd yn gallu dewis pa fath o gyfathrebiadu maen nhw'n ei dderbyn gennym ni a pha mor aml.
I ddefnyddio llwyfan Hwyluso Cyfathrebu yr ASB mae angen i chi greu cyfrif. Dylai swyddogion awdurddodau lleol ddefnyddio eu cyferiad e-bost gwaith swyddogol er mwyn cael mynediad ar unwaith; bydd rhandeilaid a doddordeb argen cael cymeradwyeth gan weinyddwr y system. Mae rhagor o wybodaeth ar gael ar wetan Hwyluso Cyfathreb'r ASB.
Gallwch weld yr archif o lythryau golforfi a anfonwyd gennym at awdurddodau lleol yn yr Archifau Cenedlaethol.
## Cefnogi awdurddodau lleol
Rydym yn darparu canliawiau a fframweithiau i awdurddodau lleol er mwyn sicrhau eu bod yn gyson with orodi'r cyfreithiau perthnasol ar gyfer bwyd bwyd anifeiliaid. Mae'r rhain yn cynnwys Codfa Ymarfer. Cytundebau Fframwaith a Chanliawiau Ymarfer.
### Cytundeb Fframwaith
Mae'r Cytundeb Fframwaith ar Reolaethau Bwyd a Bwyd Anifeiliaid Swyddogol gan Awdurddodau Lleol (Saesneg yn unig) yn rhoi ffordd i ni arfer ein pwerau o dan y Ddeddf Safonau Bwyd er mwyn dylanwadu ar weithgarwhc golforfi awdurddodau lleol a'i oruchywlio.
Mae'r Cytundeb yn nodi manlyfan am y canlynol:
- cynliuniu gwasaanaethau lleol sydd ar gael yn gyhoeddus er mwyn cynnyddu tryloywder gwasaanaethau golforfi lleol
- safonau golforfi bwyd a bwyd anifeiliaid y cytwynwyd arrnyt ar gyfer awdurddodau lleol
- camau moniro data gweli gyda mwy o floocs ar ganlyniadau arogliadu ac sy'n rhoi gwbodaeth fanylach ar benformiad awdurddodau lleol
- cynllun archwilio gyda'r nod o sicrhau gwelliannau a rhannu arfer da
**Blaenoriaethau Gorfordi Cenedlaethol**
Mae'r Blaenoriaethau Gorfordi Cenedlaethol ar gyfer bwyd anifeiliaid ac ar gyfer hylandd bwyd ar lefel cynhyrchu cynradd yn cael eu datblygu'n flynyddol mewn ymgyngorhad â'r canlynol:
- cynrychiolwyd awdurddol lleol
- Safonau Masnach Cenedlaethol
- arweinwyd bwyd anifeiliaid rhanbarthol
- Panel Amaethyddiaeth Cenedlaethol
- Aelodau Panel Cenedlaethol Bwyd Anifeiliaid mewn Porthladdoedd
Mae gwnforfforïr Blaenoriaethau Gorfordi Cenedlaethol i raglen o reolaethau swydogol yn helpu i gynnwl gweliodaeth. Nod hyn yw:
- cynnal cydraddoddion ar gyfer busnesau onest a diwyd, sydd er budd y dywiadiant bwyd anifeiliaid yn ei gyfanwyddd
- lleihau belchiau diangen ar fusnesau drwy ganolbwytio gweithgarhawc awdurodua lleol ar wyssyd cytunedig s'yn perthi bygythiad mwyaf i iechyd pobl a nei hyched antifeiliaid
- creu dull myrryd hybyg ac effeitiol yn seliedig ar wybodaeth, tra'n cynnal lefelau priodol o fonito dydfwmfurfaeth leded Cymru a Lloegr
- gwreiddu ein nod strategol o 'Fwyd y Gailwn Ymddechyd Ynndo'
- gwella ansawdd a chysonedeb rheolaethau swydogol leded Cymru a Lloegr
- dílogel eiechyd anifeiliaid a neu iechyd y cyhoedd
**Blaenoriaethau Gorfordi Cenedlaethol ar gyfer Cymru a Lloegr 2018-2019** **Blaenoriaethau Gorfordi Cenedlaethol ar gyfer Cymru a Lloegr 2017-2018**
**Deunyddiau canllaw ategol ar gyfer swyddogion gorfodi**
Yn ogystal â'r Cod Ymarfer a'r Canllawau Ymarfer, rydym yn cyhoedd dogfennau canllaw annibynnod ar amrywiatho e bynciau. Yn aml, mae hyn o ganlyniad i reoliadau newdd yn dod i rym, datblygiad mewn polisi neu mewn ymateb i didgwyyddiad.
Mae'r Canllaw ar Gyfraith Bwyd a Bwyd Anifeiliaid (diweddarwyd Ionawr 2018) yn cyfeirio at ddeddwrfaeth labelu bwyd a chfyansoddiad bwyd yng Nghymru. Mae helyd yn amlineiliu sut mae'r cyfrifdeb ol am gyfraith bwyd yn y DU wedi'r annu, diweddariafau ar ddeddwrfaeth sydd wed'i dwiggio, deddwriaeth sydd ar gwell a deddwriaeth sydd wed'i chanslo.
Llawylfr Safonau Bwyd Mae'r Lawylfr Safonau Bwyd yn cyfeirio at ddeddwrfaeth labelu bwyd a chfyansoddiad bwyd yng Nghymru. Mae helyd yn cynnwys dolennu defnyddiol deddwrfaeth a nodiadau canllaw a dogfenna'r UE.
Nod y lawylfr hwn yw helpu swyddogion diogelwch bwyd i ddod yn twy cyfarwydd â deddwriaeth safonau bwyd a'r canllawiau cysylltiadig. Dydal'r lawylfr roi troslolg o gamau gweithredig ymarferol deddwriaeth safonau bwyd, gorfordi'r ddeddwrfaeth a galluogi swyddogion i nodi f Flynnelliau eraili o wybodaeth ddefnyddiol.
**Hyffordiant ar gyfer swyddogion gorfodi**
Rydym ni'n darparu hyffordiant ar gyfer swyddogion gorfodi ar nifer o wahanol bynciau gan gynnwys:
- samplu
- labelu
- diogelwch bwyd
- hylendid a safonau
- diogelwch bwyd anifeilaid
- gallu i olrhain
Mae dolenni i ddeunyddiau hyfforddi a chyrsiau ar-lein ar gyfer swyddogion gorfodi ar gael drwy Iwyfan Hwyluso Cyfathrebu yr ASB, ein porth adnoddau a chyfathrebu ar gyfer awdurddodau lleol.
**Monitro gweithgarwhc awdurddodau lleol**
Fel rheoleiddwr, mae angen i ni fonitro'r hyn mae awdurddodau lleol yn ei ddarganfof yn ystod eu gweithgarheddu gorfordi. Bob blwyddyn, mae awdurddodau lleol yn uwchwytho data a gynhyrchir drwy eu systemau i'n platform ar-lein o'r enw LAEMS (System Monitro Gorfordi Awdurddodau Lleol).
Yna mae'r data sy'n cael ei lanwlwytho i LAEMS yn cael ei gyfuno a'i rannu'n gategorïau fel ymyriadau, samlu a gorfordi. Unwaith mae'r data wedi'u cadarnhau yna gelir eu gwerthuso a'u cyhoeddii.
**System Monitro Gorfordi Awdurddodau Lleol – data**
**Mis Ebrill 2019 i fis Mawrth 2020**
Ystadegau swyddogol ar gyfer Cymru, Lloegr a Gogledd Iwerddon
- Adroddiad blynwddol ar orfodi cyfraith bwyd awdurddodau lleol 2019-2020
- Data hylandd bwyd 2019-2020
- Data satonau bwyd 2019-2020
- Data samplu 2019-2020
**Mis Ebrill 2018 i fis Mawrth 2019**
Ystadegau swyddogol ar gyfer Cymru, Lloegr a Gogledd Iwerddon
- Adroddiad blynwddol ar orfodi cyfraith bwyd awdurddodau lleol 2018-2019
- Data hylandd bwyd 2018-2019
- Data safonau bwyd 2018-2019
- Data samplu 2018-2019
**Mis Ebrill 2017 i fis Mawrth 2018**
Ystadegau swyddogol ar gyfer Cymru, Lloegr a Gogledd Iwerddon
- Adroddiad blynwddol ar orfodi cyfraith bwyd awdurddodau lleol 2017-2018
- Pheiliad gorfordi cyfraith bwyd awdurddodau lleol 2017-2018
- Data hylandd bwyd 2017-2018
- Data safonau bwyd 2017-2018
- Data samplu 2017-2018 **Mis Ebrill 2016 i fis Mawrth 2017**
Ystadegau swyddogol ar gyfer Cymru, Lloegr a Gogledd Iwerddon
- Adroddiad blynnyddol ar ortodi cyfraith bwyd awdurddodau lleol 2016-2017
- Ffeithluin gorfordi cyfraith bwyd awdurddodau lleol 2016-2017
- Data diogelwch bwyd 2016-1017
- Data safonau bwyd 2016-2017
- Data samplu 2016-2017
Mae adroddiadau o flynyddoedd cynharach ar gael ar **wefan yr Archifau Cenedlaethol**.
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Appendices
<img>NORTHAMPTON BOROUGH COUNCIL logo</img>
**CABINET REPORT**
| Report Title | NORTHAMPTON LOCAL PLAN PART 2 – SUBMISSION DRAFT CONSULTATION (ROUND 2) | |---|---| | AGENDA STATUS: | PUBLIC |
Cabinet Meeting Date: 10th June 2020 Key Decision: YES Within Policy: YES Policy Document: YES Service Area: Planning Accountable Cabinet Member: Councillor James Hill Ward(s): All
**1. Purpose**
1.1 The purpose of the report is to present the revised submission draft of the Northampton Local Plan Part 2 for consideration and to seek approval for a second round of public consultation and the Consultation and Engagement Strategy for this consultation.
**2. Recommendations**
2.1 It is recommended that:
(i) Cabinet approves the revised Submission Draft of the Local Plan Part 2, Policies Map and Sustainability Appraisal for publication under Regulation 19 of the Town and Country Planning (Local Planning) (England) Regulations 2012 as amended.
(ii) Cabinet approves the Consultation and Engagement Strategy for this consultation
Jmd/committees/cabinet report template/03/06/20 (iii) The Director of Planning and Sustainability be given delegated authority in consultation with the Deputy Cabinet Member for Planning to make minor spelling, formatting, mapping and other amendments to the consultation documents and the Consultation and Engagement Strategy where they do not alter the intent of those documents.
**3. Issues and Choices**
**3.1 Report Background**
**3.1.1** In May 2019, the Council consulted on the Submission Draft Northampton Local Plan Part 2, which set out the planning framework for the borough to 2029. The plan was prepared in a manner that conformed with the policies set out in the West Northamptonshire Joint Core Strategy (Local Plan Part 1). Since the Joint Core Strategy is strategic in nature, it is the role of the Northampton Local Plan Part 2 to set out detailed policies and site allocations specifically for Northampton.
**3.1.2** When adopted, the Local Plan Part 2 will replace all of the saved policies contained in the Northampton Local Plan (June 1997) and replace the Central Area Action Plan (January 2013). The adopted Local Plan Part 2 will form part of the development plan for Northampton. Planning applications have to be determined in accordance with the development plan unless material considerations indicate otherwise.
**3.1.3** The Northampton Local Plan Part 2 seeks to deliver the requirements of the West Northamptonshire Joint Core Strategy including the delivery of 18,870 houses and a significant contribution to 28,500 new jobs.
**3.1.4** Prior to submitting the Local Plan for independent examination by the Planning Inspectorate, the Council is required to release a submission draft for consultation. Public consultation on the Submission Draft of the Local Plan Part 2 took place from 1st May to 14th June 2019. Representations were sought on the grounds of legal compliance and soundness, in accordance with the requirements set out in the National Planning Policy Framework. If, as a result of responses received to that consultation, only minor modifications had been required to the Plan, the Council would have updated the Plan and submitted it to the Secretary of State for Housing, Communities and Local Government.
**3.1.5** Members will note from the Cabinet report in April 2019 that in addition to the Submission Draft Consultation in May 2019, the Council has previously undertaken three other stages of consultation, namely the Issues Consultation (April 2016), Options Consultation (October 2016) and Sites Consultation (October 2017).
**3.1.6** The content of the Local Plan has been informed by an extensive evidence base which has been kept up to date and reviewed in the light of representations to previous consultations. The evidence base can be viewed at https://www.northampton.gov.uk/info/200205/planning_for_the_future/1739/
Jmd/committees/cabinet report template/03/06/20 3.1.7 The plan must also be subject to Sustainability Appraisal. The purpose of this is to appraise the social, economic and environmental effects of the plan and to consider choices made in comparison to reasonable alternatives. This does not mean that the most sustainable option has to be selected as long as there are valid planning reasons to select an alternative option. The Sustainability Appraisal and Habitats Regulations Assessment have both been carried out for the Council by independent consultants to ensure impartiality.
3.1.8 The Council has worked with neighbouring councils and the County Council during the preparation of this plan in accordance with the duty to co-operate.
**3.2 Issues**
**3.2.1** The Submission Draft Local Plan Part 2 published in April 2019 contained 38 policies, five of which were site specific related. The Council received consultation responses from 93 respondents to the Northampton Local Plan Part 2, generating over 900 separate comments. 55 respondents stated that the Plan was legally compliant whilst 21 said it was not. It should be noted that some respondents were supportive of the Plan, but where changes are recommended, even minor changes, they had to state that the Plan was not sound.
**3.2.2** 19 respondents said the Plan was sound and 63 said it was not. Comments were received from statutory consultees including objections from Historic England on the basis that Heritage Impact Assessments needed to be undertaken for some of the site allocations prior to confirming their allocation. Natural England considered that more details were required in some of the policies to strengthen their direction and requirements. Public Health England (Northamptonshire) also wanted to see additional policies associated with health included in the Local Plan. Objections were also received from members of the public on some of the proposed allocations, particularly those with larger capacities. Developers and housebuilders had concerns about the details of the housing policies. The highest number of objections came from Great Houghton residents who opposed the allocation of a site at The Green for housing.
**3.2.3** Extensive consideration was given as how to the Plan should be changed to deal with these objections. Further work has been progressed to take on board the comments received, including the commissioning of a Heritage Impact Assessment and ongoing dialogue with key stakeholders including Historic England, Natural England and Homes England. The nature of the changes required to be made to the Northampton Local Plan Part 2 Submission Draft was such that major changes needed to be made to the Plan, necessitating a second round of consultation on the Submission Draft.
**3.2.4** This revised Submission Draft now contains 44 policies, of which six are for site specific allocations. The new and strengthened policies cover topics such as health and wellbeing, climate change and sustainable construction and hot
Jmd/committees/cabinet report template/03/06/20 food takeaways. The revised submission draft is attached at Appendix A to this report.
3.2.5 Sufficient capacity has been identified to meet the WNJCS requirement for the provision of 18,870 dwellings in Northampton from 2011 to 2029. However, it should be noted that the housing trajectory set out in the Local Plan is different from the proposed housing delivery trajectory set out in Appendix 3 of the WNJCS. The delivery rates envisaged in the Core Strategy for Northampton in this period are very high – for example, 1,588 dwellings in 2019/20 and 1,278 dwellings in 2022/23. In practice, housing completion rates in Northampton have been slower than the rates set out in the Core Strategy and are predicted to continue in the same way for the first few years of the Plan period. Completions in sustainable urban extensions, in particular, are running at lower rates than were expected. Members will recall that the previous Submission Draft Local Plan, contained a housing delivery trajectory that differed from the proposed housing delivery trajectory set out in the WNJCS by setting lower figures for the first five years, with higher rates of delivery in later years of the plan period. The revised Submission Draft takes the same approach, but the annual delivery figures have been updated to take into account the most up-to-date evidence on the availability of housing sites and the numbers of dwellings likely to be delivered.
3.2.6 A Sustainability Appraisal (attached at Appendix B) has informed the preparation of the revised Submission Draft. Reasonable alternatives to the policies and sites have been assessed during the preparation of the plan and these have informed its formulation.
3.2.7 Subject to the approval of the revised Submission Draft of the Local Plan Part 2 for public consultation, it is proposed that consultation commences on 13th July 2020 for a six week period closing on 24th August 2020.
3.2.8 The Council’s Statement of Community Involvement states that there should be a Consultation and Engagement Strategy for plan-making setting out who, when and why we consult. A special version of the Consultation and Engagement Strategy has been produced (attached at Appendix C) in order that consultation can be effective without breaching guidelines relating to the Covid-19 outbreak allowing this to happen, only if and when Government guidelines relating to the Covid-19 outbreak allow this.
3.3 Choices (Options)
**Option 1: agree the recommendation**
3.3.1 If Cabinet approves the revised and updated Submission Draft version of the Local Plan Part 2, Policies Map and Sustainability Appraisal for another round of consultation, and the associated Consultation and Engagement Strategy,
Jmd/committees/cabinet report template/03/06/20 the Council will be able to go out to public consultation for six weeks from 13th July 2020. This should then make it possible to achieve other milestones in the preparation of the Plan with a view to adopting it by September 2021. Although by then West Northamptonshire Council will have replaced Northampton Borough Council as local planning authority, this will ensure that there is an up-to-date set of local plan policies against which to consider planning applications in Northampton and to replace the saved policies of the Northampton Local Plan from 1997 and the Central Area Action Plan, 2013. This will complement the Local Plan Part 2s that have recently been adopted by Daventry District Council and South Northamptonshire Council.
**Option 2: do not agree with the recommendation**
3.3.2 Cabinet could defer or decide not to approve the revised Submission Draft of the Local Plan Part 2, Policies Map and Sustainability Appraisal for consultation. This would mean that the Council would continue to have planning policies that are becoming increasingly outdated, making it increasingly difficult to manage development effectively.
**4. Implications (including financial implications)**
**4.1 Policy**
4.1.1 The Local Plan Part 2 will replace the 1997 Local Plan Saved Policies and the Central Area Action Plan. An up-to-date plan will provide greater certainty and allow policies at the local level to address local issues and be fully compliant with up-to-date requirements and the requirements of the adopted Joint Core Strategy. Planning applications will be determined in accordance with the development plan, including the Local Plan Part 2, unless material considerations indicate otherwise. Policies in an emerging plan have increasing weight the further they progress through the process.
**4.2 Resources and Risk**
4.2.1 Sufficient financial resources are available for the consultation to take place as scheduled in the budget for 2020/21. Every effort will be made to ensure that consultation on the Local Plan Part 2 and its submission to the Secretary of State are not adversely affected by any redeployment of Planning Policy staff as a result of efforts to tackle the Covid-19 outbreak.
**4.3 Legal**
4.3.1 The Local Plan is a statutory document and has to be prepared in accordance with the Planning and Compulsory Purchase Act 2004, as amended; the Town and Country Planning Act (Local Planning) (England) Regulations 2012, as amended; The Environmental Assessment of Plans and Programmes Regulations 2004; and the Conservation of Habitats and Species Regulations 2010.
**4.4 Equality and Health**
Jmd/committees/cabinet report template/03/06/20 4.4.1 An equalities impact assessment has been carried out. None of the policies in the document went beyond the screening stage as no unjustified negative impacts were identified.
**4.5 Consultees (Internal and External)**
4.5.1 Cabinet Advisory Group have been regularly briefed and had the opportunity to comment throughout the plan preparation process. Feedback from members of the public, businesses, agents, developers, other local authorities and community groups during previous public consultation, and since, has been taken into account in the preparation of the revised Submission Draft Local Plan Part 2.
**4.6 How the Proposals deliver Priority Outcomes**
4.6.1 The Local Plan Part 2 will help to guide all development across Northampton, achieving economic, environmental and social benefits. In terms of the strategic priorities set out in the Council’s Corporate Plan, the Local Plan Part 2 will help to deliver a stronger economy by having a local plan that helps Northampton grow and prosper, whilst preserving the town’s heritage. It will help create resilient communities by encouraging and supporting housing delivery whilst protecting the health and wellbeing of the people of Northampton and its environment.
**4.7 Environmental Implications (including climate change issues)**
4.7.1 On 3rd June 2019, the Council declared a climate change emergency, and the objective to make Northampton carbon neutral by 2030. The local plan contains policies that help to address climate change and will help to improve the sustainability of new development.
**4.8 Other Implications**
4.7.1 There are no other implications arising directly from the proposals in this report.
**5. Background Papers**
5.1 National Planning Policy Framework, 2019 https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/810197/NPPF_Feb_2019_revised.pdf
5.2 West Northamptonshire Joint Core Strategy, 2014 https://westnorthantsipu.onconsult.uk/connect/tiwebsite/view?objectId=2737424
5.3 Central Area Action Plan, 2013 https://www.northampton.gov.uk/info/200205/planning_for_the_future/1748/central_area_action_plan_caap
5.4 Northampton Local Plan, 1997 https://www.northampton.gov.uk/info/200205/planning_for_the_future/1746/
5.5 Northampton Statement of Community Involvement, 2018
Jmd/councils/cabinet report template/03/06/20 https://www.northampton.gov.uk/info/200205/planning_for_the_future/1746/
Appendix A - Northampton Local Plan Part 2 Submission Draft (Round 2), June 2020
Appendix B - Sustainability Appraisal and Habitats Regulations Assessment of the Northampton Local Plan Part 2 (Round 2), June 2020, Land Use Consultants
Appendix C – Consultation and Engagement Strategy – Northampton Local Plan Part 2
**6. Next Steps**
**6.1** The results of this second round of consultation will be fed into the Submission version of the Northampton Local Plan Part 2. The Submission version will be considered at Cabinet for approval for submission to the Secretary of State for independent examination.
Peter Baguley Director of Planning and Sustainability Tel: 01604 838921
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
NATION. .................................................. 1 Base : All respondents
REGION. .................................................. 3 Base : All respondents
URBANITY. ................................................. 7 Base : All respondents
CABLE AREA. .............................................. 9 Base : All respondents
DEPRIVATION LEVEL. .................................... 11 Base : All respondents
SE. GENDER. ............................................... 13 Base : All respondents
SF AGE OF RESPONDENT. ................................ 15 Base : All respondents
Q03a (Q4). What is the occupation of the main wage earner in your household. CODE SOCIAL GRADE. (SINGLE CODE) ................... 19 Base : All respondents
Q27 (SG). WORKING STATUS. (SINGLE CODE) ............. 23 Base : All respondents
Q210 (SH). HOUSEHOLD STATUS. (SINGLE CODE) ......... 27 Base : All respondents
SH (SJ). Total number in household (including respondent and any children) ............................................................... 31 Base : All respondents
SI (SK). Household size .................................. 33 Base : All respondents
SJ. Total number of children in household (under 18), including respondent (if respondent is under 18) ......................... 35 Base : All respondents
SK (SM). Can you speak or write in Welsh at all? (SINGLE CODE) .......................................................... 38 Base : All respondents in Wales
SL (SN). What is your preferred language? (SINGLE CODE) ............................................................................. 40 Base : All respondents
QB1. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTI CODE) .. 42 Base : All respondents
QB2. SHOWCARD And do you personally use... ? (MULTI CODE) ................................................................. 48 Base : All respondents
QB3 (Q64). SHOWCARD Which games consoles do you or does anyone in your household have at the moment? (MULTI CODE) ........... 54 Base : Those who have access to a games console at home.
QB4 (Q65). SHOWCARD Which, if any, of these do you use your games console for? (MULTI CODE) .................................. 59 Base : Those who have access to a games console at home. OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Q65 (Q86) Does your household's e-reader (digital book reader) have built-in 3G or 4G access to a mobile network? This means that books can be purchased online and downloaded from anywhere with a signal, without the need for a Wi-Fi connection? Base : Those who personally use an e-reader/digital book reader. Q67 (Q87) Is there a landline phone in your home that can be used to make and receive calls? (SINGLE CODE) PROMPTED. Base : All respondents Q62 (QC2A) Do you ever use this landline phone at home yourself to make and/or receive calls, for internet access or both? (MULTI CODE) Base : Yes ☑ Q63 (QC10) Thinking of when you use your landline, which one of these uses is the most important to you? (SINGLE CODE) Base : Those who use their landline for internet access and to make and receive calls Q64 (QC30), SHOWCARD How do you pay the line rental for your landline phone service? Please answer about your line rental only and not charges for calls and other costs. (SINGLE CODE). Base : Those with a landline phone at home that can used to make and receive calls Q65 (QC2B), SHOWCARD Which of these do you consider to be your MAIN method of making and receiving telephone calls? (SINGLE CODE). Base : Main ☑ Q66 (QC2BA), SHOWCARD And thinking about when you are at home, which is your MAIN method of making and receiving telephone calls? (SINGLE CODE) Base : All respondents Q67 (QC21B), SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE) Base : Those with a landline phone at home Q68A (QC1A), SHOWCARD Thinking about your home phone service only, please use this card to say how satisfied you are with the overall service provided by (MAIN SUPPLIER). (SINGLE CODE) Base : Those with a landline phone at home QD7: How many mobile phones in TOTAL do you AND members of your household use? (SINGLE CODE) Base : All respondents QD2: Do you personally use a mobile phone? How many mobile phones with different telephone numbers do you use at least once a month? Please include any phones used for work or other purposes. (SINGLE CODE) Base : All respondents QD3 (QD10): Which mobile network do you use most often? (SINGLE CODE) Base : Those who personally use a mobile phone QD4 (QD24): Do you personally use a smartphone? IF UNSURE - A smartphone is a phone on which you can easily access emails, download files and applications, as well as view websites and generally surf the internet. Popular brands of smartphone include BlackBerry, Apple iPhone, Google Android, LG Optimus, Nokia Lumia, Samsung Galaxy S4 Base : Those who personally use a mobile phone QD5 (QD25), SHOWCARD Which brand or type of smartphone do you have? IF MORE THAN ONE - Which one do you use most often? (SINGLE CODE). Base : Those with a smartphone QD6 (QD41): Do you have a 4G service? This is a service that enables faster mobile internet access. Base : Those who use a smartphone QD7 (QD22), SHOWCARD How likely is it that you will get a smartphone in the next 12 months? (SINGLE CODE). Base : Those who do not have a smartphone QD8 (QD11), SHOWCARD Which of these best describes the mobile package you personally use most often? (SINGLE CODE) Base : Those who personally use a mobile phone QD9 (QD11A): When you signed up for your current mobile contract did you get a handset with the contract or did you only get a SIM card? (SINGLE CODE) Base : Those who use a postpay/contract mobile phone QD10 (QD31), SHOWCARD Are you still within your minimum contract period? IF NECESSARY Contract periods tend to run for 12, 18 or 24 months and this is agreed when you take out the contract for the mobile phone and handset. IF YES - Which of these best describes your contract? (SINGLE CODE). Base : Those who got a handset and contract when they signed up for their current mobile contract
\<page_number>67\</page_number> \<page_number>89\</page_number> \<page_number>73\</page_number> \<page_number>75\</page_number> \<page_number>77\</page_number> \<page_number>79\</page_number> \<page_number>82\</page_number> \<page_number>84\</page_number> \<page_number>89\</page_number> \<page_number>93\</page_number> \<page_number>96\</page_number> \<page_number>100\</page_number> \<page_number>108\</page_number> \<page_number>112\</page_number> \<page_number>114\</page_number> \<page_number>120\</page_number> \<page_number>122\</page_number> OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
\<page_number>126\</page_number> QD1 (QD32) SHOWCARD Which of these best describes your current situation, now that your minimum contract period for your mobile phone service and handset has ended? (SINGLE CODE) Base : Those who got a handset and contract when they signed up for their current mobile contract and are now out of their minimum contract period
QD12 (QD33) What type of SIM-only deal are you on? (SINGLE CODE) Base : Those now on a SIM-only tariff now that their minimum contract period has ended
QD13 (QD34) SHOWCARD Which of these best describes your mobile phone service provider? (SINGLE CODE) Base : Those who use a prepaid Pay As You Go phone or took a SIM card from a friend
QD14A (QDA4) SHOWCARD How often, if at all, do you use your mobile phone to send or receive text messages? (SINGLE CODE) Base : Those who personally use a mobile phone
QD14B (QDA5) SHOWCARD And how often, if at all, do you use your mobile phone to make calls? (SINGLE CODE) Base : Those who personally use a mobile phone
QD14C (QDA4) SHOWCARD How often, if at all, do you use your mobile phone to access email or internet services? (SINGLE CODE) Base : Those who personally use a mobile phone
QD15 (QD28A) SHOWCARD Which any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE) Base : Those who personally use a mobile phone
QD16 (QD28B) SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE) Base : Those who personally use a mobile phone
QD17 (QD28E) SHOWCARD Which of these ways do you use your mobile phone to access the internet? (MULTI CODE) Base : Those who use their mobile phone to access the internet
QD18 (QD28C) SHOWCARD Which one of these best describes where you use your mobile phone to access the internet? (SINGLE CODE) Base : Those who use their mobile phone to access the internet outside the home
QD19 (QD28F) SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? (MULTI CODE) Base : Those who use their mobile phone to access the internet outside the home
QD20 (QD28G) SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE) Base : Those with a smartphone
QD21 (QD28H) SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE) Base : Those who use their smartphone to download apps or applications on their smartphone
QD22A (QD21A) SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with MAIN SUPPLIER for each of the following... The overall service provided by MAIN SUPPLIER. (SINGLE CODE) Base : Those who personally use a mobile phone
QD22B (QD21A) SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with MAIN SUPPLIER for each of the following... Reception/ accessing network. (SINGLE CODE)
QD23K (QD21K) SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with MAIN SUPPLIER for each of the following... Ability to connect to the internet using the mobile network (3G or 4G). (SINGLE CODE). Base : Those with a smartphone
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? (MULTI CODE) Base : All respondents
QE2 (QE35). How many tablet computers do you have in your household? (SINGLE CODE) Base : Those with any tablet computers in the household
QE3 (QE36). Do you personally use this any of these tablet computers? (SINGLE CODE) Base : Those with any tablet computers in the household OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Q64 (QE37). Is your tablet computer 3G or 4G enabled? This means that the tablet could be used - with a SIM card - to go online from anywhere with a signal, without the need for a Wi-Fi connection? (SINGLE CODE). Base : Those who personally use a tablet computer
Q65 (QE38). And do you have a separate mobile subscription for your tablet, which allows you to go online from anywhere with a 3G or 4G signal, without the need for a Wi-Fi connection? (SINGLE CODE) Base : Those who use a 3G or 4G enabled tablet computer
Q66 (QE44). SHOWCARD And how often do you personally use the mobile signal on your tablet computer to go online - rather than using a Wi-Fi connection? (SINGLE CODE) Base : Those who use a mobile subscription for their 3G or 4G enabled tablet computer
Q67 (QE1A). SHOWCARD How likely is it that your household will get a tablet computer - such as an iPad - in the next 12 months? (SINGLE CODE). Base : Those without a tablet computer in the household
Q68 (QE2). Do you or does anyone in your household have access to the internet? Worldwide Web at HOME (via any device, e.g. PC, laptop, mobile phone etc)? (SINGLE CODE) Base : All respondents
Q69 (INE). SHOWCARD Do you ever go online anywhere other than in your home at all? IF YES. Where is that? (MULTI CODE) Base : Those who use the internet at home or elsewhere
Q70 (IE3). SHOWCARD And how often do you personally use the internet nowadays either at home or elsewhere? (SINGLE CODE) Base : Those who use the internet at home or elsewhere
Q71 (IE40). SHOWCARD Which is the most important device you use to connect to the internet, at home or elsewhere? (SINGLE CODE) Base : Those who use the internet at home or elsewhere
Q72 (IES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE) Base : Those with access to the internet at home
Q73 (IE48). Do you pay line rental as part of, or in addition to, your fixed broadband charges? Base : Yes Q74 (IE49). What is the cost of your fixed broadband service? Q75 (IE22). You mentioned that your household has a mobile broadband connection (connecting via a USB stick or dongle, or built-in 3G connectivity in a laptop or another device). Do you personally access the internet in this way, using mobile broadband? Base : Those in a household with mobile broadband
Q76 (IE38). What were the reasons you look up a mobile broadband service? (MULTI CODE) UNPROMPTED. Base : Those who use mobile broadband to access the internet
Q77 (IE22C). SHOWCARD Which of one of these best describes where you use mobile broadband to access the internet? (SINGLE CODE) Base : At work Q78 (IE23). SHOWCARD In which of these places do you use mobile broadband to access the internet outside of the home? (MULTI CODE) Base : Those who use mobile broadband to access the internet outside of the home
Q79 (IE3B). How many people aged 16 or over in your household, including yourself, could access the fixed broadband connection in your home if they wanted to? Base : Those with fixed broadband at home where there is more than one person in household
Q80 (IE3A). How many people aged 16 or over in your household (including yourself) could access the mobile broadband connection in your home if they wanted to? Base : Those with mobile broadband at home where there is more than one person in household
Q81 (IE27). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE) Base : No ISP Q82 (IE5A). SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE) Base : Those who use the internet at home or elsewhere
Q83 (IE5B). SHOWCARD And, which, if any, of these activities have you used the internet for in the LAST WEEK? (MULTI CODE) Base : Those who use the internet at home or elsewhere
\<page_number>223\</page_number> \<page_number>225\</page_number> \<page_number>227\</page_number> \<page_number>229\</page_number> \<page_number>233\</page_number> \<page_number>235\</page_number> \<page_number>239\</page_number> \<page_number>243\</page_number> \<page_number>247\</page_number> \<page_number>255\</page_number> \<page_number>257\</page_number> \<page_number>263\</page_number> \<page_number>267\</page_number> \<page_number>270\</page_number> \<page_number>272\</page_number> \<page_number>274\</page_number> \<page_number>280\</page_number> \<page_number>299\</page_number> OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
QE23 (QEENW1) SHOWCARD What was the advertised speed of your fixed broadband home internet connection when you took up your service? (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 319
QE24 (QE11A) SHOWCARD What is the actual speed of your fixed broadband home internet connection? (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 325
QE25 (GE1C) Do you know how to find out what speeds you are getting on your computer at home? (SINGLE CODE) Base : Yes, I know how to find out what speeds I get to the internet at home .................. 331
QE26A (QEAA) SHOWCARD Thinking about your mobile broadband internet service, please use this card to say how satisfied you are with your main supplier for... The overall service provided by MAIN PROVIDER? (SINGLE CODE) Base : Those in a household with mobile broadband .................................................. 333
QE26B (QEAB) SHOWCARD Thinking about your mobile broadband internet service, please use this card to say how satisfied you are with your main supplier for... The speed of your service while online (not just the connection)? (SINGLE CODE) Base : Those in a household with mobile broadband .................................................. 337
QE26C (QEAC) SHOWCARD Thinking about your mobile broadband internet service, please use this card to say how satisfied you are with your main supplier for... The reliability of the service from MAIN PROVIDER? (SINGLE CODE) Base : Those in a household with mobile broadband .................................................. 341
QE27 (QE12) SHOWCARD Thinking about the speed of your household's fixed broadband internet, is it(s) faster, slower or about the same as you expected it to be when you first got it? (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 345
QE28A (QEAA) SHOWCARD Thinking about your fixed broadband internet service, please use this card to say how satisfied you are with your main supplier for... The overall service provided by MAIN PROVIDER. (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 349
QE28B (QE8B) SHOWCARD Thinking about your fixed broadband internet service, please use this card to say how satisfied you are with your main supplier for... The speed of your service while online (not just the connection)? (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 353
QE28C (QEBC) SHOWCARD Thinking about your fixed broadband internet service, please use this card to say how satisfied you are with your main supplier for... The reliability of the service from MAIN PROVIDER? (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 357
QE29 (QE35) READ OUT DESCRIPTION OF WIRELESS ROUTER. Do you or anyone in your household use a fixed wireless internet connection at home (Wi-Fi)? (SINGLE CODE) Base : Those in a household with fixed broadband .................................................. 361
QE30 (QE1D) SHOWCARD How many of these devices does your household connect to the fixed wireless internet connection at home? Base : Those who have used wireless internet connection at home .................................. 363
QE31 (QE24) SHOWCARD How likely are you to get internet access at home in the next 12 months? (SINGLE CODE) Base : Very unlikely ............................................................................................................. 369
QE32 (QE25A) Why are you unlikely to get internet access at home in the next 12 months? (MULTI CODE) UNPROMPTED Base : Those unlikely to get internet access at home in the next 12 months .................... 373
QE33 (QE25B). And, which of these reasons is your MAIN reason for not getting internet access at home? (SINGLE CODE) UNPROMPTED. Base : Those unlikely to get internet access at home in the next 12 months .................... 381
QE34 (QEN1). EXPLAIN A SATELLITE BROADBAND Were you aware that satellite broadband is available? (SINGLE CODE) Base : All respondents .............................................................................................................. 387
QE35 (QE25). EXPLAIN THAT PHONE CALLS CAN BE MADE USING THE INTERNET USING SERVICES SUCH AS SKYPE. Before now, were you aware that you could make voice calls using the internet? (SINGLE CODE) Base : No ....................................................................................................................................... 389
QE36 (QE30). Have you or anyone in your household ever used one of these services to make voice calls using the internet at home? (SINGLE CODE) Base : All respondents .............................................................................................................. 391
QE37 (QE31). SHOWCARD Which supplier did/s did your household use to make voice calls using the internet? (MULTI CODE) Base : Those who have ever used internet voice services at home ......................................... 393 OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
QE38 (QE33): SHOWCARD Which device or devices does your household use to make voice calls using the internet? (MULTI CODE) Base : Those who have ever used internet voice services at home \<page_number>397\</page_number>
QE39 (QE34): Do you pay for any elements of your service to make calls using the internet? Perhaps calls made to landline or mobile phones, or any equipment or software you needed to purchase solely to be able to make calls using the internet. (SINGLE CODE) Base : Those who have ever used internet voice services at home \<page_number>401\</page_number>
QH1A: SHOWCARD Which, if any, of these types of television do you own in your household receive at the moment? Please think about all of the TV sets in your household. (MULTI CODE) Base : All respondents \<page_number>403\</page_number>
QH1B: SHOWCARD And which of these do you consider is your MAIN type of television? (SINGLE CODE) Base : All respondents \<page_number>411\</page_number>
QH2 (QH6): What are the reasons why you don't have a television set in your household? What other reasons? (MULTI CODE) UNPROMPTED. Base : Those with no TV in the household \<page_number>417\</page_number>
QH5 (QH63): Is the MAIN TV in your household an HDTV set or HD ready? (SINGLE CODE) Base : Those with a TV in the household \<page_number>421\</page_number>
QH4 (QH54): Although you have an HDTV ready set, to actually watch TV channels and programmes that are broadcast in high definition, you need an HD set top box or a TV with built-in HDTV receiver. For the main TV set, does your household have an HDTV service - from either Sky, Virgin Media, Freesat or Freeview? (SINGLE CODE) Base : Those with no HD TV in the household \<page_number>423\</page_number>
QH5 (QH70): I understand that you have an HD ready TV or HD TV service. Is the MAIN TV in your household an Ultra High Definition (known as UHD) TV set or UHD ready - also known as 4K? (SINGLE CODE) Base : Those whose main TV set is an HDTV or HDready \<page_number>425\</page_number>
QH6 (QH7): SHOWCARD Which of the following best describes your satellite TV services? (MULTI CODE) Base : Those with Satellite TV \<page_number>427\</page_number>
QH4 (Q5): SHOWCARD Which, if any, of these channels do you subscribe to through your Sky satellite service? (MULTI CODE) Base : Those with paid for Sky Satellite TV \<page_number>430\</page_number>
QH6 (QH8): SHOWCARD Which, if any, of these channels do you subscribe to through your Cable TV service? (MULTI CODE) Base : Those with Cable TV \<page_number>436\</page_number>
QH8 (QH88): SHOWCARD Which of the following channels do you subscribe to through your pay TV service? Base : Those with any (non-Sky and non-Virgin Media) paid-for TV services \<page_number>438\</page_number>
QH10A (QR1A): Does your household have Sky+? (SINGLE CODE) Base : Those with Sky Satellite TV \<page_number>442\</page_number>
QH10B (QR1B): Does your household have Virgin TiVo or V+? (SINGLE CODE) Base : Those with Virgin Media (Cable TV) \<page_number>444\</page_number>
QH10C (QR1C): Does your Freesat set top box allow you to record and store TV programmes, and also pause and rewind live TV programmes? (SINGLE CODE) Base : Those with Freesat \<page_number>446\</page_number>
QH10D (QR1D): Does your Freesat box or Freesat TV set allow to record and store TV programmes, and also pause and rewind live TV programmes this includes Freesat Playback and Freesat Plus boxes)? (SINGLE CODE) Base : Those with Freesat \<page_number>448\</page_number>
QH10E (QR1E): Does your broadband TV service allow you to record and store TV programmes, and also pause and rewind live TV programmes? (SINGLE CODE) Base : Those with BT TV or TalkTalk TV \<page_number>450\</page_number>
QH11 (CR5): SHOWCARD How often, if ever, do you use your DVR to watch recorded programmes? (SINGLE CODE) Base : Those with a DVR \<page_number>452\</page_number>
QH12 (QHA2A): SHOWCARD Do you ever watch TV programmes 'on demand' through your TV service? (READ EXPLANATION IF NECESSARY) (MULTI CODE). Base : Those with a TV in the household \<page_number>456\</page_number> DFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016, 4th January to 29th February 2016.
QH13 (QH45) SHOWCARD have you or anyone in your household used any of these devices to connect your TV to the internet in the last 12 months? (MULTI CODE) Base : Those with a TV in the household .................................................. 460
QH14 (QH62) Are any of your TV sets Smart TVs? These are newer types of TV that are connected to the internet and can stream video directly onto your television screen, without the need for a computer, set-top box or games console. IF NECESSARY - It's a TV which has a built-in internet connection and stream movies, TV shows and videos using services such as BBC Player, Netflix and YouTube. They are also sometimes referred to as a Connected TV or a Hybrid TV. Base : Those with a TV in the household .................................................. 464
QH15 (QH63) SHOWCARD Which, if any, of the shown on this card have you used your 'Smart TV' set for in the last month? Please do not include anything you've done using an additional device to play the content, such as a games console or computer. (MULTI CODE) Base : Those who use a 'Smart TV' in the household .................................. 486
QH16 (QH64) SHOWCARD Thinking about your personal use of TV programmes and films online and on demand services that you may use on any device (e.g. smartphone, TV set, tablet or laptop) anywhere, which of the following, if any, have you personally ever used? (MULTI CODE) Base : Those who use the internet at home or elsewhere ................................ 472
QH17 (QH47) And which, if any, of these have you used in the last week? (MULTI CODE) Base : Those who use the internet at home or elsewhere ................................ 478
QH18 (QH65) How frequently, if at all, do you watch each of these channels - RTÉ1? (SINGLE CODE) Base : All respondents in Northern Ireland with a TV in the household ................................................. 484
QH19 (QH66) How frequently, if at all, do you watch each of these channels - RTÉ2? (SINGLE CODE) Base : All respondents in Northern Ireland with a TV in the household ................................................. 486
QH18C (QH65C) How frequently, if at all, do you watch each of these channels - TG3? (SINGLE CODE) Base : All respondents in Northern Ireland with a TV in the household ................................................. 488
QH19D (QH66D) How frequently, if at all, do you watch each of these channels - TG4? (SINGLE CODE) Base : All respondents in Northern Ireland with a TV in the household ................................................. 492
QDCKC Can I just check that you have the following services? (MULTI CODE) Base : All respondents .......................................................... 494
QDM And which, if any, of these services are you primarily or jointly responsible for - in terms of deciding which supplier or network to use? (MULTI CODE) Base : All respondents ........................................................................... 498
QG1 Do you receive more than one of these services as part of an overall deal or package from the same supplier? (SINGLE CODE) Base : All respondents ........................................................................... 502
QG2 (CG2A) SHOWCARD Please could you tell me which services are part of this deal or package you have with the same supplier? (MULTI CODE) Base : All respondents ........................................................................... 504
QG3 (CG3D) Which suppliers do you use for this package of services? (SINGLE CODE) Base : Those with a bundle of services, who receive any of these services as part of an overall deal or package .................................................. 508
QP1 SHOWCARD During an average week, on how many days do you listen to the radio (including listening at home, in the car, at work, via mobile phone, personal stereo)? (SINGLE CODE) Base : All respondents ........................................................................... 514
QP2A (QP1A) SHOWCARD How often, if at all, do you listen to radio through - Radio set with AM receiver - either at home, in the car or on portable radio. (SINGLE CODE) Base : Those who listen to radio ..................................................................... 518
QP2B (QP1B) SHOWCARD How often, if at all, do you listen to radio through - Radio set with FM stereo - either at home, in the car or on portable radio. (SINGLE CODE) Base : Those who listen to radio ..................................................................... 521
QP2C (QP1C) SHOWCARD How often, if at all, do you listen to radio through - Mobile phone. (SINGLE CODE) Base : Those who listen to radio ..................................................................... 524 OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
**QP2D (QP11D). SHOWCARD How often, if at all, do you listen to radio through - Digital radio through TV. (SINGLE CODE)** Base : Those who listen to radio \<page_number>527\</page_number>
**QP2E (QP11E). SHOWCARD How often, if at all, do you listen to radio through - Digital radio through the internet. (SINGLE CODE)** Base : Those who listen to radio \<page_number>529\</page_number>
**QP2F (QP11F). SHOWCARD How often, if at all, do you listen to radio through - DAB radio set. (SINGLE CODE)** Base : Those who listen to radio \<page_number>532\</page_number>
**QP2G (QP11G). SHOWCARD How often, if at all, do you listen to radio through - A car radio (FM). (SINGLE CODE)** Base : Those who listen to radio \<page_number>535\</page_number>
**QP2H (QP11H). SHOWCARD How often, if at all, do you listen to radio through - A car radio (AM). (SINGLE CODE)** Base : Those who listen to radio \<page_number>538\</page_number>
**QP3I (QP11I). SHOWCARD How often, if at all, do you listen to radio through - A car radio (DAB). (SINGLE CODE)** Base : Those who listen to radio \<page_number>541\</page_number>
**SUMMARY - EVER USE DIGITAL RADIO** Base : Those who listen to radio \<page_number>543\</page_number>
**QP3J (QP16). SHOWCARD In which of these ways do you listen to radio on your mobile phone? (MULTI CODE)** Base : Those who listen to radio via a mobile phone \<page_number>547\</page_number>
**QP4 (QP2). Before today, had you heard of digital radios? READ OUT EXPLANATION IF NECESSARY (SINGLE CODE)** Base : All respondents \<page_number>547\</page_number>
**QPS (QP9). How many DAB sets do you have in your household?** Base : All respondents \<page_number>549\</page_number>
**QPI (QP9). How many DAB sets do you have in your household?** Base : Those who listen to radio \<page_number>561\</page_number>
**QPII (QP12). SHOWCARD Now likely is it that your household will get a DAB radio in the next 12 months? (SINGLE CODE)** Base : Those do not have any DAB sets at home \<page_number>563\</page_number>
**QPII (QP12). SHOWCARD Now likely is it that your household will get a DAB radio in the next 12 months? (SINGLE CODE)** Base : Those who have one or more DAB sets at home \<page_number>567\</page_number>
**QPT (QT1). You are unlikely to get digital radio in the next 12 months? (MULTI CODE) UNPROMPTED** Base : Those unlikely to get DAB radio in the next 12 months \<page_number>581\</page_number>
**QZ1: SHOWCARD Could you please take a look at the options shown on this card and let me know which applies to you? (SINGLE CODE)** Base : All respondents \<page_number>587\</page_number>
**QZ2 (QZ10). SHOWCARD How would you describe your national identity? (SINGLE CODE)** Base : All respondents \<page_number>589\</page_number>
**QZ3: SHOWCARD Which of the groups on this card do you consider yourself belonging to? (SINGLE CODE)** Base : White \<page_number>571\</page_number> Base : Other \<page_number>588\</page_number>
**QZ4 (C9). SHOWCARD Which of these, if any, limit your daily activities or the work you can do? (MULTI CODE)** Base : All respondents \<page_number>582\</page_number>
**QZ5 (C10). SHOWCARD Which of these best describes your sight? (SINGLE CODE)** Base : Those with poor vision, partial sight or blindness \<page_number>588\</page_number> DFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Q28i (C11). SHOWCARD Which of these best describes your hearing? (SINGLE CODE) Base : Those with poor hearing, partial hearing or deafness .................................................. 592
Q28j (SGA) Do you ever work from home? (SINGLE CODE) Base : Those working full or part time .......................................................................................... 596
Q29 (SGB) Would you say that you work from home most of the time or just occasionally? (SINGLE CODE) Base : All respondents ...................................................................................................................... 598
Q21i (QZ9A). Could you please tell me if your total household income from all sources before tax and other deductions is above or below £11,500 per year? Base : All respondents .................................................................................................................... 600
Q21i (QZ9). SHOWCARD Group in which you would place your total household income from all sources, before tax and other deductions? (SINGLE CODE) Base : All respondents ..................................................................................................................... 802
Q21i (QZNf). Do you regard yourself as belonging to any particular religion? IF YES. Which religion, religious denomination or body do you belong? Base : All respondents in Northern Ireland ................................................................................. 606 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 1**
| Base | All respondents | |---|---| | GENDER | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | | Total | MALE | FEMALE | 16-24 | 25-34 | 35-54 | 55+ | UNDER £11.9K | £17.5K - £29.9K | E30K+ | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI | | Significance Level: 95% | | | | | | | | | | x | m | m | m | o | o | o | o | | Unweighted total | 3737 | 1790 | 1947 | 519 | 604 | 1172 | 1442 | 559 | 401 | 451 | 615 | 797 | 1122 | 791 | 1022 | 2338 | 502 | 489 | 507 | | Effective Weighted Sample | 2504 | 1197 | 1308 | 343 | 401 | 807 | 971 | 377 | 268 | 325 | 461 | 578 | 755 | 534 | 660 | 1916 | 310 | 301 | 378 | | Total (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) | | England (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) (n=1089) | | Scotland (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) (n=333) | | Wales (n=444) (n=444) (n=444) (n=444) (n=444) | | Northern Ireland (n=74) <table>
<tr><td>Gender</td><td>Age Group</td><td>Household Income</td><td>Social Group</td><td>Nation</td></tr>
<tr><td>MALE</td><td>Female</td><td>Under £11.9K</td><td>£17.5K - £29.9K</td><td>E30K+</td><td>AB</td><td>C1</td><td>C2</td><td>DE</td><td>ENG LAND</td><td>SCOT LAND</td><td>WALES</td><td>NI</td></tr>
<tr><td>Significance Level: 95%</td><td></td><td></td><td></td><td></td><td>x</td><td>m</td><td>m</td><td>m</td><td>o</td><td>o</td><td>o</td><td>o</td></tr>
<tr><td>Unweighted total</td><td>74</td><td>8</td><td>8</td><td>8</td><td>8</td><td>8</td><td>8</td><td>8</td><td>8</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
<tr><td>Effective Weighted Sample</td><td>48%<br>(N = 48)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>4%<br>(N = 4)</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
<tr><th>Total<br>(N = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n = n)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n=n)n)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N=n=n=n=n=n=n=n=n=n=n=n=n=n)n)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N=N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N=N=N=N=N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N=N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="font-weight:bold;">Total<br>(N)=N)</th></tr>
<tr class="highlight"><th style="">(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N=(total)<br>N)=(<table>
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<!-- Table content -->
```html
<div id='table_thead'>
<div id='table_thead_row_0'>
<div id='table_thead_column_0'>Base : All respondents</div>
<div id='table_thead_column_1'>GENDER</div>
<div id='table_thead_column_2'>AGE GROUP</div>
<div id='table_thead_column_3'>HOUSEHOLD INCOME</div>
<div id='table_thead_column_4'>SOCIAL GROUP</div>
<div id='table_thead_column_5'>Nationality Code(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE(s): NATION_CODE<s...
```
```json
[
{
"name": "England",
"value": "England"
},
{
"name": "Scotland",
"value": "Scotland"
},
{
"name": "Wales",
"value": "Wales"
},
{
"name": "Northern Ireland",
"value": "Northern Ireland"
}
]
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**NATION**
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>221<br>338<br>338<br>84%</td>
<td>251<br>237<br>13%<br>100%</td>
<td>247<br>237<br>8%<br>100%</td>
<td>250<br>237<br>9%<br>100%</td>
<td>251<br>237<br>9%<br>100%</td>
<td>237<br>226<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Total (n = 10,000)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Unweighted total (n = 3,737)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Effective Weighted Sample (n = 2,504)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">England (n = 2,675)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Scotland (n = 233)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Wales (n = 132)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Northern Ireland (n = 74)</table cellspacing="0" style="border-collapse: collapse;">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 2**
| REGION | Base: All respondents | GENDER | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---|---|---| | Significance Level: 95% | Total | MALE | FEMALE | 16-24 | 25-34 | 35-54 | 55+ | UNDER | E11.5K | E17.5K | E29.9K | E30K+ | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI | | Unweighted total | 3737 | 1947 | 519 | 604 | 1172 | 1442 | 595 | 401 | 451 | 615 | 797 | 1122 | 751 | 1022 | 2389 | 502 | 489 | 507 | | Effective Weighted Sample | 2504 | 1197 | 1308 | 343 | 401 | 807 | 971 | 377 | 268 | 325 | 461 | 578 | 755 | 534 | 660 | 1916 | 310 | 301 | 378 | | Total | 2675 | 1301 | 1374 | 364 | 469 | 915 | 927 | 317 | 280 | 358 | 583 | 712 | 720 | 580 | 661 | 2236 | 233 | 132 | 74 | | North East (N) (E) (W) (S) (C) (M) (O) (A) (B) (D) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V) (W) (X) (Y) (Z)) | | North East (N) (E) (W) (S) (C) (M) (O) (A) (B) (D) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V) (W) (X) (Y) (Z)) | | North West | | Yorkshire | | East Midlands | | West Midlands | | East of England | | London |
Columns Tested: a-b - c.e.f.- g.h.i-j - k.l.m.n - o.p.q-r
Prepared by Saville Rossler Base: O1727 B99 J99 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 2**
| REGION | Base: All respondents | |---|---| | GENDER | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | | Total | MALE | FEMALE | 16-24 | 25-34 | 35-54 | 55+ | UNDER £11.9K | £17.9K - £23.9K | £30K+ | AB C1 C2 DE ENG LAND SCOT LAND WALES NI | | Significance Level: 95% | | | | | | | | | | | | | Unweighted total | 3737 1790 | 519 604 | 1172 1442 | 599 401 | 451 615 | 715 791 | 1122 1022 | 2338 502 | 489 507 | | Effective Weighted Sample | 2504 1167 | 343 401 | 807 971 | 377 268 | 325 461 | 578 755 | 534 660 | 1916 310 | 301 378 | | Total | 2675 1301 | 364 469 | 915 927 | 317 280 | 358 583 | 712 720 | 580 661 | 2236 233 | 132 74 | | South East | South West | | South East | Wales | | South West | | Wales | | Scotland |
Columns Tested: a-b c-e.f.- g-h.i-j-k-l.m-n-o.p.q.r
Prepared by Saville Rossiter Base: \<page_number>01727\</page_number> \<page_number>899\</page_number> \<page_number>399\</page_number>
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<tr>
<td>GENDER</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER £1.9K</td>
<td>£1.9K - £2.9K</td>
<td>£3K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER £1.9K</td>
<td>£1.9K - £2.9K</td>
<td>£3K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER £1.9K</td>
<td>£1.9K - £2.9K</td>
<td>£3K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td><td>Significance Level: 95%</td><td>Total</td><td>MALE</td><td>FEMALE</td><td>UNDER £1.9K</td><td>£1.9K - £2.9K</td><td>£3K+</td><td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td><td>Significance Level: 95%</td><td>Total</td><td>MALE</td><td>FEMALE</td><td>UNDER £1.9K</td><td>£1.9K - £2.9K</td><td>£3K+</td><td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td><td>Significance Level: 95%</td><td>Total</td><td>MALE</td><td>FEMALE</td><td>UNDER £1.9K</td><td>£1.9K - £2.9K</td><td>£3K+</td><td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td><td>Significance Level: 95%</td><td>Total</td><td>MALE</td><td>FEMALE</td><td>UNDER £1.9K</td><td>£1.9K - £2.9K</td><td>£3K+</td><td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</ td><br/><br/>
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```html
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="4">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th>
<th colspan="4">Table 2</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="4">All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</th>
<th colspan="4"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="4">REGION</th>
<th colspan="4"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="4">Base : All respondents</th>
<th colspan="4"></th>
</tr>
</thead>
```
<tbody>
<!-- GENDER -->
<tr style="background-color: #ebebeb;">
<th>GENDER:</th>
<!-- MALE -->
<tr style="background-color: #ebebeb;">
<th style="text-align: right;">Male:</th>
<!-- AGE GROUP -->
<tr style="background-color: #ebebeb;">
<th style="text-align: center;">Total:</th>
<!-- UNDER £1.9K -->
<tr style="background-color: #ebebeb;">
<th style="text-align: center;">Under £1.9k:</th>
<!-- HOUSEHOLD INCOME -->
<tr style="background-color: #ebebeb;">
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
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<tr style="background-color: #ebebeb;">
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```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
**Table 2**
| REGION | Base: All respondents | Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDS | WEST MIDS | EAST OF ENGLAND | YORKS&HUMBER | NORTH EAST | NORTH WEST | URBAN | RURAL | WORKING | DEPRIVATION LEVEL | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | | | | | | | | | | | | | | | | | Unweighted total | 3737 | 249 | 251 | 247 | 250 | 281 | 237 | 252 | 251 | 251 | 271 | 1026 | 1861 | 1983 | 1792 | 1945 | | Effective Weighted Sample | 2504 | 221 | 237 | 237 | 233 | 233 | 225 | 231 | 232 | 231 | 2082 | 456 | 1294 | 1256 | 1218 | 1321 | | Total | 2675 | 338 | 359 | 359 | 227 | 189 | 237 | 245 | 245 | 226 | 114 | 302 | 2315 | 360 | 1552 | 1114 | 1443 | 1323 | | North East (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) ) | | North West (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) (abridged) ) | | Yorkshire | | East Midlands | | West Midlands | | East of England |
Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Prepared by Saville Rossiter-Base: \<page_number>01727\</page_number> \<page_number>899\</page_number> \<page_number>399\</page_number> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 2**
| REGION | Total | LONDON | SOUTH EAST | SOUTH WEST | SOUTH MIDLANDS | EAST MIDLANDS | WEST MIDLANDS | EAST OF ENGLAND | YORKSHIRE AND HUMBER | NORTH EAST | NORTH WEST | URBAN | RURAL | YES | NO | LOW | MEDIUM/LOW | HIGH | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | 3737 | 249 | 251 | 247 | 250 | 251 | 237 | 252 | 251 | 251 | 2711 | 1026 | 1861 | 1883 | 1792 | 1945 | | Unweighted total | 3737 | 249 | 251 | 247 | 250 | 251 | 237 | 252 | 251 | 251 | 2711 | 1026 | 1861 | 1883 | 1792 | 1945 | | Effective Weighted Sample | 2504 | 221 | 237 | 237 | 233 | 233 | 225 | 231 | 232 | 231 | 2082 | 456 | 1294 | 1256 | 1218 | 1321 | | Total | 6275 | 338 | 399 | 399 | 399 | 399 | 399 | 399 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | | London bodeggs c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 3
URBANITY
Base: All respondents
| GENDER | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---| | Total | MALE | FEMALE | 16-24 | 25-34 | 35-54 | 55+ | UNDER £11.9K | £11.9K-£17.9K | £17.9K-£29.9K | E30K+ | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI | | | | | | | | | | | | | x | m | n | o | p | q | | Significance Level: 95% | 8 | b | c | d | e | f | g | h | i-j-k-l-m-n-o-p-q-r | k-l-m-n-o-p-q-r | | Unweighted total | 3737 | 1790 | 1947 | 519 | 604 | 1172 | 1442 | 559 | 401 | 451 | 615 | 797 | 1122 | 791 | 1022 | 2339 | 502 | 489 | 507 | | Effective Weighted Sample | 2504 | 1167 | 1308 | 343 | 401 | 807 | 971 | 377 | 268 | 325 | 461 | 578 | 755 | 534 | 660 | 1916 | 310 | 301 | 378 | | Total (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) | | Urban (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) | Urban % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % = % | Rural (%) | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural % | Rural %
Columns Tested: a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r
Prepared by Saville Rossiter Base : D1TPTZ B9N JNN OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 3
URBANITY Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
<td>LOW MEDIUM HIGH</td>
<td>LOW MEDIUM HIGH</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711 1028 1861 1792 1945</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082 456 1294 1256 1321</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>338 13% 8% 9% 4% 11% 58% 42% 54% 48%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></TD
<tr style="border-top: double;">
<th colspan="16">Urban<br>bcdgjnv<br>c<br>f<br>c f<br>bodf<br>k<br>&<br>n<br>r<br>s<br>t<br>w<br>x<br>y<br>Z<br>p q r s t u v w x y z<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>% </th><th colspan="3">Columns Tested: a,b,c,d,e,f,g,h,i,j,k-l,m-n,o<br><=9999999999999999999999999999999999999999999999999999999999999999999999999999999></th><th colspan="3">>=1000000000000000000000000000000000000000000000000000000000000000000000000></th><th colspan="3">>=1,5,7,8,16,17,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,</th><th colspan="3">>=56%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=44%,<=46%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><th colspan="3">>=56%</th><table>
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<!-- Table -->
```html
<html lang="">
<head lang="">
<meta charset='utf-8'>
<title>Data Table for URBANITY Analysis (OFCOM Nations & Regions Tracker)</title>
<style type='text/css'>
table {
border-collapse: collapse;
width: 77%;
margin-left: auto;
margin-right: auto;
}
th {
border-bottom: 2px solid black;
padding: 7px;
text-align: center;
}
td {
border-bottom: 2px solid black;
padding: 7px;
text-align: center;
}
tr:nth-child(odd) td {
background-color: #f2f2f2;
}
tr:nth-child(even) td {
background-color: #eaeaea;
}
</style>
<script type='text/javascript'>
// JavaScript code for table sorting
function sortTable(n) {
var table = document.getElementById('myTable');
var rows = table.rows;
var columns = table.columns;
if (n === 'asc') {
rows.sort(function(a,b) { return parseInt(columns[n].textContent) - parseInt(columns[n].textContent); });
} else {
rows.sort(function(a,b) { return parseInt(columns[n].textContent) + parseInt(columns[n].textContent); });
}
for (var i = 0 ; i < rows.length ; i++) {
table.rows[i].innerHTML = rows[i].outerHTML;
}
}
// Initial sorting
sortTable('asc');
</script>
<body lang="">
<h2 id='header'>URBANITY Analysis (OFCOM Nations & Regions Tracker)</h2>
<p id='description' class='description'>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income so it may not be representative of the UK population but it is included for reasons of interest. Any break column with a base size lower than 10 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</p>
<div id='content' class='content'>
<table id='myTable' cellspacing='none' cellpadding='none'>
<thead id='tableHeader'>
<tr id='headerRow'>
<span id='headerCell_'>Total  </span> <span id='headerCell_'>LONDON  </span> <span id='headerCell_'>SOUTH EAST  </span> <span id='headerCell_'>SOUTH WEST  </span> <span id='headerCell_'>EAST MIDLANDS  </span> <span id='headerCell_'>EAST OF ENGLAND  </span> <span id='headerCell_'>YORKSHIRE AND HUMBER  </span> <span id='headerCell_'>NORTH EAST  </span> <span id='headerCell_'>NORTHWEST  </span> <span id='headerCell_'>URBAN RURAL  </span> <span id='headerCell_'>RURAL  </span> <span id='headerCell_'>YES NO  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </span> <span id='headerCell_'>LOW MEDIUM HIGH  </ span
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 4**
**CABLE AREA** Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E11.5K-</th>
<th>E17.5K-</th>
<th>E29.5K-</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>E11.5K-</td>
<td>E17.5K-</td>
<td>E29.5K-</td>
<td></td>
<td>x</td>
<td>m</td>
<td>n</td>
<td>c</td>
<td>d</td>
<td>f</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>n</td>
<td>c</td>
<td>d</td>
<td>f</td>
<td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</ td></tr>
<tr>
```
<tbody>
<tr>
<th>Unweighted total<br>Effective Weighted Sample<br>Total<br>TELEWEST<br>NTL<br>Neither<br>Columns Tested:</th>
<th>3737<br>2504<br>2675<br>426<br>929<br>35%<br>1320<br>48%<br>48%</th>
<th>1790<br>1167<br>1301<br>211<br>480<br>34%<br>690<br>46%<br>48%</th>
<th>1947<br>807<br>469<br>568<br>186<br>38%<br>167<br>46%<br>48%</th>
<th>519<br>807<br>915<br>155<br>18%<br>39%<br>225<br>49%<br>49%</th>
<th>604<br>807<br>915<br>155<br>18%<br>39%<br>225<br>49%<br>49%</th>
<th>1172<br>807<br>915<br>155<br>18%<br>39%<br>225<br>49%<br>49%</th>
<th>1442<br>807<br>915<br>155<br>18%<br>39%<br>225<br>49%<br>49%</th>
<th rowspan="2">559<br rowspan="2">377<br rowspan="2">325<br rowspan="2">461<br rowspan="2">578<br rowspan="2">755<br rowspan="2">534<br rowspan="2">660<br rowspan="2">712<br rowspan="2">720<br rowspan="2">580<br rowspan="2">661<br rowspan="2">730<br rowspan="2">700<br rowspan="2">600<br rowspan="2">660"<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "<br/>"E30k+ "</th>
<th rowspan="2">x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t u u u u u u u u u u u u u u u u u u u v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff ff gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iiiiii iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv iv 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</table>
```
Prepared by Saville Rossiter Base : 01727 899 599 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
**CABLE AREA**
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST WEST</th>
<th>EAST MID</th>
<th>EAST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>WEST OF ENGLAND</th>
<th>YORKS&HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBANITY</th>
<th>RURAL</th>
<th>WORKING</th>
<th>DEPRIVATION LEVEL</th>
<th>MEDIMM:</th>
<th>LOW</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
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<a href="#table_4" name="table_4">Table 4</a>
Unweighted total 3737 249 251 247 250 251 237 252 251 251 2711 1026 1861 1792 1945
Effective Weighted Sample 2504 221 237 237 233 233 225 231 232 231 2082 456 1294 1256 1218 1321
Total 2675 338 359 339 227 189 247 245 226 114 302 360 1552 1114 1443 1232
TELEWEST 428 38% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8%
bdfi: 19% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7% -7%
NTL: 928 173% 50% 50%
ceg: 19%
NEITHER: 1320 49%
Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
<watermark>Prepared by Saville Rossiter Base : 01727 899 399</watermark>
| Total | LONDON | SOUTH EAST | SOUTH WEST | EAST WEST | EAST MID | EAST MIDS | EAST OF ENGLAND | WEST OF ENGLAND | YORKS&HUMBER | NORTH EAST | NORTH WEST | URBANITY | RURAL | WORKING | DEPRIVATION LEVEL | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | Total | LONDON | SOUTH EAST | SOUTH WEST | EAST WEST | EAST MID | EAST MIDS | EAST OF ENGLAND | WEST OF ENGLAND | YORKS&HUMBER | NORTH EAST | NORTH WEST | URBANITY | RURAL | WORKING | DEPRIVATION LEVEL | | Unweighted total | 3737 | 249 | 251 | 247 | 250 | 251 | 237 | 252 | 251 | 251 | 2711 | 1026 | 1861 | 1792 | 1945 | | Effective Weighted Sample | 2504 | 221 | 237 | 237 | 233 | 233 | 225 | 231 | 232 | 231 | 2082 | 456 | 1294 | 1256 | 1218 | 1321 | | Total | 2675 | 338 | 359 | 339 | 227 | 189 | 247 | 245 | 226 | 114 | 302 | 360 | 1552 | 1114 | 1443 | 1232 | | TELEWEST | 428 | -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% -8% | | bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: bdfi: | | NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: NTL: | | NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER NEITHER |
<watermark>Prepared by Saville Rossiter Base : 01727 899 399</watermark> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 5
DEPRIVATION LEVEL
Base: All respondents
| GENDER | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---| | Total | MALE | FEMALE | UNDER E11.5K | E17.5K | E29.5K | AB C1 C2 DE | ENG LAND SCOT LAND WALES NI | | | | | 16-24 | 25-34 | 35-54 | 55+ | E11.5K E17.5K E30K+ | k m n o p q r s t u v w x y z | | Significance Level: 95% | | | | | | | | | | Unweighted total | 3737 | 1790 | 1947 | 519 | 604 | 1172 | 1442 | 559 | 401 | 451 | 615 | 797 | 1122 | 791 | 1022 | 2338 | 502 | 489 | 507 | | Effective Weighted Sample | 2504 | 1167 | 1308 | 343 | 401 | 807 | 971 | 377 | 268 | 325 | 461 | 578 | 755 | 534 | 660 | 1916 | 310 | 301 | 378 | | Total (n=2675) | Low (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = (n=2675) (49%) = <table>
<thead>
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</thead>
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<tr>
<td>Low</td>
<td>1443</td>
<td>697</td>
<td>747</td>
<td>155</td>
<td>221</td>
<td>514</td>
<td>554</td>
<td>125</td>
<td>108</td>
<td>187</td>
<td>370</td>
<td>488</td>
<td>391</td>
<td>314</td>
<td>250</td>
<td>1229</td>
<td>104</td>
<td>77</td>
<td>34</td>
</tr>
<tr>
<td>(<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<u>n</u>=<sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup><sub><sup> <table>
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<!-- TABLE -->
<th colspan="3">GENDER<br>Total<br>Significance Level: <strong>95%</strong></th>
<th colspan="3">AGE GROUP<br>MALE<br>FEMALE<br>UNDER E11.5K<br>E17.5K<br>E30.0K+</th>
<th colspan="3">HOUSEHOLD INCOME<br>E11.5K<br>E17.5K<br>E30.0K+</th>
<th colspan="3">SOCIAL GROUP<br>AB C1 C2 DE<br>k m n o p q r s t u v w x y z<br>ENG LAND SCOT LAND WALES NI<br>c d e f g h i j k l m n p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br>p q r s t u v w x y z<br<p
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
DEPRIVATION LEVEL
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>251<br>247<br>250<br>251<br>237<br>252<br>251<br>251<br>2711<br>1028<br>1861<br>1792<br>1945</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A table showing deprivation levels for England regions based on Ofcom's data.</img> </table>
Effective Weighted Sample Total 2504 338 359 227 199 237 245 226 114 302 335 8% 9% 8% 9% 8% 7% 9% 8% 4% 11% 87% 13% 58% 42% 54% 48%
Low Total 2675 13% 13% 8% 7% 9% 9% 8% 4% 11% 87% 13% 58% 42% 54% 48%
Low Total 1443 72 70 69 71 52% 63% 51% 50% 59% 49% 88% 55% 53% 100% -%
Medium Total 1983 41% 38% 31% 35% 43% 37% 42% 45% 40% 40% 12% 40% 43% -%
Medium Total 1983 41% 38% 31% 35% 43% 37% 42% 45% 40% 40% 12% 40% 43%
High Total 139 64 66 66 66 66
High Total 139 64
Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
Prepared by Saville Rossiter Base : 01727 899 599 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
Table 6
SE. GENDER Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>e b c d</td>
<td>f g h i j k l m n o p q r</td>
<td>1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30</td>
<td>x y z a b c d e f g h i j k l m n o p q r</td>
<td>c d e f g h i j k l m n o p q r</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>1947 519</td>
<td>604 1172</td>
<td>1442</td>
<td>559</td>
<td>401</td>
<td>451</td>
<td>615</td>
<td>797</td>
<td>1122</td>
<td>791</td>
<td>1022</td>
<td>2338</td>
<td>502</td>
<td>489</td>
<td>507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1197</td>
<td>1308 343</td>
<td>401 807</td>
<td>971</td>
<td>377</td>
<td>268</td>
<td>325</td>
<td>461</td>
<td>578</td>
<td>755</td>
<td>534</td>
<td>660</td>
<td>1916</td>
<td>310</td>
<td>301</td>
<td>378</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364</td>
<td>469 915</td>
<td>927</td>
<td>317</td>
<td>280</td>
<td>358</td>
<td>583</td>
<td>712</td>
<td>720</td>
<td>580</td>
<td>661</td>
<td>2236</td>
<td>233</td>
<td>132</td>
<td>74</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br/></tr><tr><th>Male<br>Total<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-- </th><th>Total<br> <span style="color: #ff0000;">- </span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff0000;">-</span> <span style="color: #ff000;
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 6
SE. GENDER Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>221<br>238<br>250<br>237<br>233<br>225<br>231<br>237<br>245<br>237<br>248<br>237<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245<br>237<br>248<br>245</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <span style="color:red;">(1)</span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span>&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...&...
<tfoot>
<tr>
<td colspan="10"></table>
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 7
SF. AGE OF RESPONDENT
Columns Tested: a-b - c.e.f. - g.h.i.j - k.l.m.n - o.p.q.r
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 +55+</td>
<td>UNDER £11.9K £11.9K - £17.5K £17.5K - £29.9K £29.9K+ E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td>x m k</td>
<td>4 5 7</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790 1947 519 604 1172 1442</td>
<td>595 401 451 615 769</td>
<td>1122 751 1022 2328</td>
<td>502 489 507</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1167 1308 343 401 807 971</td>
<td>377 268 325 461 578</td>
<td>755 534 660 1916</td>
<td>310 301 378</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301 3374 364 469 915 927</td>
<td>317 280 358 583 712</td>
<td>720 580 661 2236</td>
<td>233 132 74</td>
<td></td>
</tr>
<tr>
<td>16 - 17</td>
<td>49% 51% 18% 35%</td>
<td>12% 27% 22% 84%</td>
<td>2% 2% 2% 9%</td>
<td></td><td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="border-top: double;">
<td colspan="3" style="text-align: center;">Significance Level: <strong>95%</strong></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></th><th colspan="3" style="text-align: center;"></table>
<table border='1'>
<thead>
<tr id='__annotation__rowinterval_0'>
<th rowspan='1' colspan='2'>SF. AGE OF RESPONDENT<br/>Columns Tested:<b>a-b - c.e.f. - g.h.i.j - k.l.m.n - o.p.q.r</b></thead>
<tbody>
<tr id='__annotation__rowinterval_1'>
<td rowspan='1' class='table_column_header'>Total<br/>GENDER<br/>AGE GROUP<br/>HOUSEHOLD INCOME<br/>SOCIAL GROUP<br/>NATION<br/></tr>
<tr id='__annotation__rowinterval_2'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_3'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_4'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_5'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_6'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_7'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_8'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_9'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_10'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_11'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_12'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_13'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_14'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_15'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_16'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_17'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_18'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_19'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_20'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_21'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_22'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_23'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_24'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_25'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_26'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_27'>
<td rowspan='1' class='table_column_header'>Unweighted total<br/>Total<br/></tr>
<tr id='__annotation__rowinterval_28'>
<td rowspan='1' class='table_column_header'>Significance Level:<b>95%</b></tr>
<tr id='__annotation__rowinterval_29'>
<td rowspan 's' class='<thead>'<tbody>'
<th rowspan 's' class='<thead>'<tbody>'
<th rowspan 's' class='<thead>'<tbody>'
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<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
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<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
<thead >
<t
<table border = "none">
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<t
<table border = "none">
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<t
<table border = "none">
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<t
<table border = "none">
<thead >
<t
<table border = "none">
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 7
SF. AGE OF RESPONDENT
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30</td>
<td>40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55</td>
<td>56 57 58 59</td>
<td>60</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</td>
<td>1947</td>
<td>519</td>
<td>604</td>
<td>1172</td>
<td>1442</td>
<td>593</td>
<td>401</td>
<td>451</td>
<td>615</td>
<td>797</td>
<td>1122</td>
<td>791</td>
<td>1022</td>
<td>833</td>
<td>502</td>
<td>489</td>
<td>507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>1167</td>
<td>1308</td>
<td>343</td>
<td>401</td>
<td>807</td>
<td>971</td>
<td>377</td>
<td>268</td>
<td>325</td>
<td>461</td>
<td>578</td>
<td>755</td>
<td>534</td>
<td>660</td>
<td>1916</td>
<td>310</td>
<td>301</td><td colspan="2">378</td></tr>
<tr>
<td>Total</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="border-top: double;">
<th>TOTAL SUMMARY (N=8,888)</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/>
<th colspan="3">AGE SUMMARY<br/>AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=8,888)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=6,666)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=5,555)</th><br/>
<th colspan="3">AGE GROUPS (N=4,444)</th><br/>
<th colspan="3">AGE GROUPS (N=4,444)</th><br/>
<th colspan="3">AGE GROUPS (N=4,444)</th><br/>
<th colspan="3">AGE GROUPS (N=4,444)</ th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th th
<table>
<tr style='border-bottom: double;'>
<td style='text-align:center;'>Total<br/>Base: All respondents<br/>Columns Tested: a-b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.s.t.u.v.w.x.y.z.</table>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom: double;'>
<table>
<tr style='border-bottom:double;'>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 7**
**SF. AGE OF RESPONDENT**
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
SF. AGE OF RESPONDENT
Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN RURAL</td>
<td>RURAL YES</td>
<td>NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861 1792 1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082</td>
<td>456 1294 1218 1321</td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>338</td>
<td>359</td>
<td>327</td>
<td>399</td>
<td>247 8% 9% 10% 10% 10% 10% 10% 10% 10% 10% 9% 9% 9% 9% 9% 9%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="background-color: #e6e6e6;">
<th rowspan="4" style="text-align: center;">AGE SUMMARY<br/>16-24<br/>14%</th>
<th rowspan="4" style="text-align: center;">AGE GROUP<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/>age group<br/></th>
<th rowspan="4" style="text-align: center;">Total<br/>Total<br/>Total<br/>Total<br/>Total<br/></th>
<th rowspan="4" style="text-align: center;">Total<br/>Total<br/></th>
<th rowspan="4" style="text-align: center;">Total<br/></th>
<th rowspan="4" style="text-align: center;">Total<br/></th>
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<th rowspan="4" style="text-align: center;">Total<br/></th>
<th rowspan="4" style="text-align: center;">Total<br/></th>
<th rowspan="4" style=""><strong>Total (n)</strong></th>
<th colspan="" align="" border-bottom-style=""></table>
<tfoot class='tfoot'>
<tr class='tfoot'>
<td colspan='3' align='right'>Columns Tested:</span>: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
<span class='tfoot'>
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<table border='0' cellspacing='0' cellpadding='0' width='100%' align='center'>
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</tbody></table></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></table> </div><<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b8c script_5d8f8b8c>Prepared by Saville Rossler Base-<div id=script_5d8f8b
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5d
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in the UK population.</img><<div id=script_5
<img>A bar chart showing the distribution of age groups in
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QSEG (QZB). What is the occupation of the main wage earner in your household. CODE SOCIAL GRADE. (SINGLE CODE)
<table>
<thead>
<tr>
<td></td>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td><strong>Total</strong></td>
<td><strong>MALE</strong></td>
<td><strong>FEMALE</strong></td>
<td><strong>16-24</strong></td>
<td><strong>25-34</strong></td>
<td><strong>35-54</strong></td>
<td><strong>55+</strong></td>
<td><strong>UNDER</strong></td>
<td><strong>E11.5K</strong></td>
<td><strong>E17.5K</strong></td>
<td><strong>E29.5K</strong></td>
<td><strong>E30K+</strong></td>
<td><strong>AB</strong></td>
<td><strong>C1</strong></td>
<td><strong>C2</strong></td>
<td><strong>DE</strong></td>
<td><strong>ENG LAND</strong></td>
<td><strong>SCOT LAND</strong></td>
<td><strong>WALES</strong></td>
<td><strong>NI</strong></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>x</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>p</td>
<td>q</td>
<td>r</td>
<td>s</td>
<td>t<br>u<br>v<br>w<br>x<br>y<br>z<br>a<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>p<br>q<br>r<br>s<br>t<br>u<br>v<br>w<br>x<br>y<br>z<br>a<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>p<br>q<br>r<br>s<br>t<br>u<br>v<br>w<br>x<br>y<br>z}</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</td>
<td>1947</td>
<td>519</td>
<td>604</td>
<td>1172</td>
<td>1442</td>
<td>595</td>
<td>401</td>
<td>451</td>
<td>615</td>
<td>797</td>
<td>1122</td>
<td>791</td>
<td>1022</td>
<td>839</td>
<td>502</td>
<td>489</td>
<td>507</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A bar chart showing the distribution of social grades across different age groups and genders.</img> </table>
Effective Weighted Sample
Total
2675 49% 51% 14% 18% 34% 5%
A
67 41% 3% 2% 7% 2% 3% 4% 4%
B
644 25% 24%
C1
720 27% 28%
C2
580 22% b c d e f g h i j k l m n p q r s t u v w x y z
D
376 14% 1%
E
284 11% 8%
Refused
2 -% -% -%
Columns Tested: a,b,-c,d,e,f-g,h,i-j,k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z
Prepared by Saville Rossler Base 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QSEG (QZB). What is the occupation of the main wage earner in your household. CODE SOCIAL GRADE. (SINGLE CODE)
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER 11.9K</td>
<td>E11.9K-</td>
<td>E17.9K-</td>
<td>E29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>d</td>
<td>o</td>
<td>4</td>
<td>5</td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</td>
<td>1947</td>
<td>519</td>
<td>604</td>
<td>1172</td>
<td>1442</td>
<td>559</td>
<td>401</td>
<td>451</td>
<td>615</td>
<td>797</td>
<td>1122</td>
<td>791</td>
<td>1022</td>
<td>2238</td>
<td>502</td>
<td>489</td>
<td>507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>1167</td>
<td>1308</td>
<td>343</td>
<td>401</td>
<td>807</td>
<td>971</td>
<td>377</td>
<td>268</td>
<td>325</td>
<td>461</td>
<td>578</td>
<td>755</td>
<td>534</td>
<td>660</td><td>1916<br/>310<br/>301<br/>378<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/>374<br/></tr>
<tr style="border-top: 1px solid black;">
<th>SOCIAL GROUP:</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/>
<th>A8:</th><br/>
<ol type="i">
<li style="list-style-type:square;">Total: 2675 (8%)</li>
<li style="list-style-type:square;">Unweighted total: 2504 (8%)<br/><br/><br/></li>
<li style="list-style-type:square;">Effective Weighted Sample: 2504 (8%)<br/><br/><br/></li>
<li style="list-style-type:square;">Total: 2675 (8%)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><br/><br/></li>
<li style="list-style-type:square;">SOCIAL GROUP:</li>
<li style="list-style-type:square;">A8:</li>
<li style="list-style-type:square;">A8: 26% (unweighted)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (effective weighted sample)<br/><br/><br/></li>
<li style="list-style-type:square;">A8: 26% (total)<br/><hr/>
<table border=1 cellspacing=0 cellpadding=0 id='table_occupation'>
<thead id='table_occupation_header'>
<tr id='table_occupation_header_row'>
<th colspan='1' rowspan='1'>SOCIAL GROUP:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A8:<strong>A8:</strong>: A
<th colspan='1' rowspan='1'>SOCIAL GROUP:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<strong>A9:</strong>: A9:<<strong>A9:</sub:A9:<sub>B:</sub>B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B:B<B B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B>B<B B>B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<B B<b b>b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<b b<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h<h h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QSEG (QZ8). What is the occupation of the main wage earner in your household. CODE SOCIAL GRADE. (SINGLE CODE)
Base: All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 252 251 251 2711 1028 1861 1863 1792 1945</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221 237 237 233 233 237 235 237 232 231 231 2082 456 1294 1256 1218 1321</td>
<td></td>
<td></td>
<td></td>
<table><thead><tr><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><th colspan="4"></th><tr><thead><tr><th rowspan="2">A</th><th rowspan="2">87<br>3%</table></table>%
</tr>
<tr style="--style: bold;">
Total
</tr>
```
<!-- A -->
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<!-- E -->
<!-- F -->
<!-- G -->
<!-- H -->
<!-- I -->
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<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Refused -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z -->
<!-- Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v>w
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QSEG (QZ8). What is the occupation of the main wage earner in your household. CODE SOCIAL GRADE. (SINGLE CODE)
Base: All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861</td>
<td>1863</td>
<td>1792</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>231</td>
<td>231</td>
<td>2082</td>
<td>456</td>
<td>1294</td>
<td>1256</td>
<td>1218<br></tr>
<tr style="border-top: 1px solid black;">
<th>Total<br>SOCIAL GROUP<br>CIC2<br>CIC3<br>CIC4<br>CIC5<br>CIC6<br>CIC7<br>CIC8<br>CIC9<br>CIC10<br>CIC11<br>CIC12<br>CIC13<br>CIC14<br>CIC15<br>CIC16<br>CIC17<br>CIC18<br>CIC19<br>CIC20<br>CIC21<br>CIC22<br>CIC23<br>CIC24<br>CIC25<br>CIC26<br>CIC27<br>CIC28<br>CIC29<br>CIC30<br>CIC31<br>CIC32<br>CIC33<br>CIC34<br>CIC35<br>CIC36<br>CIC37<br>CIC38<br>CIC39<br>CIC40<br>CIC41<br>CIC42<br>CIC43<br>CIC44<br>CIC45<br>CIC46<br>CIC47<br>CIC48<br>CIC49<br>CIC50<br>CIC51<br>CIC52<br>CIC53<br>CIC54<br>CIC55<br>CIC56<br>CIC57<br>CIC58<br>CIC59<br>CIC60<br>CIC61<br>CIC62<br>CIC63<br>CIC64<br>CIC65<br>CIC66<br>CIC67<br>CIC68<br>CIC69<br>CIC70<br>CIC71<br>CIC72<br>CIC73<br>CIC74<br>CIC75<br>CIC76<br>CIC77<br>CIC78<br>CIC79<br>CIC80...<table>
<tr style="border-top: 1px solid black;">
<th>Total Teste
d.</th>
<th>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.</th>
<th>b.c.d.e.f.g.h.i-j.k.l.m.n.o.<table></table></tr></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 9
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q27 (SG), WORKING STATUS (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E1T.5K+ E1T.7K+ E29.9K+ E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td></td>
<td>e b c d</td>
<td>a b c d</td>
<td>1 2 3 4</td>
<td>x m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r</td>
<td>o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r</td>
</tr>
</tbody>
<tfoot>
<tr>
<td colspan="8"></td>
</tr>
</tfoot>
</table>
Unweighted total 3737 1790 1947 519 604 1172 1442 559 401 451 615 719 1122 751 1022 2236 Effective Weighted Sample 2504 1167 1308 343 401 807 971 377 268 325 461 578 755 534 660 1916 Total 2675 1301 1374 364 469 915 927 317 280 358 583 712 720 580 661 2236 Base for % 49% 51% 14% 18% 34% 35% 12% 10% 13% 22% 27% 27% 22% 25% 84% 9% 5% 3% Working full time (30hrs/wk) Working part time (0-29 hrs/wk) Not working (i.e. under Bhr/wk) - retired Not working (i.e. under Bhr/wk) - unemployed (registered) not registered (but looking for work) Columns Tested: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r
<table>
<thead>
<tr>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th><br/>
</tr><br/>
<tr><td colspan="3">Prepared by Saville Rossiter Base: OI727 Q99 S99</td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></ td><br/></tr><br/>
<tr><td colspan="3">O I M P T G H J I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</td><td colspan="3">A B C D E F G H I J K L M N O P Q R</ td><br/></tr><br/>
<tr><td>Significance Level: <strong>95%</strong></td><td>Total MALE FEMALE</strong> <br/> <strong>AGE GROUP </strong> <br/> <strong>HOUSEHOLD INCOME </strong> <br/> <strong>SOCIAL GROUP </strong> <br/> <strong>NATION </strong> <br/></tr><tr><td>Unweighted total</strong> <br/> <strong>EFFECTIVE WEIGHTED SAMPLE </strong> <br/> <strong>TOTAL </strong> <br/> <strong>BASE FOR % </strong> <br/></tr><tr><table cellspacing='0' cellpadding='0' border='0'>
<thead id='__annotation__rowinterval_0'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_0'></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='0' cellpadding='0' border='0'>
<tbody id='__annotation__rowinterval_0_rowinterval_0_body'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_0'>Significance Level: <strong>95%</strong></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='0' cellpadding='0' border='0'>
<tbody id='__annotation__rowinterval_0_rowinterval_0_body'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_0'></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='0' cellpadding='0' border='0'>
<tbody id='__annotation__rowinterval_0_rowinterval_0_body'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_0'></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='0' cellpadding='0' border='0'>
<tbody id='__annotation__rowinterval_0_rowinterval_0_body'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_0'></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='0' cellpadding='0' border='0'>
<tbody id='__annotation__rowinterval_0_rowinterval_0_body'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_0'></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='0' cellpadding='0' border='0'>
<tbody id='__annotation__rowinterval_0_rowinterval_0_body'>
<tr id='__annotation__rowinterval_0_rowinterval_0_line'>
<td id='__annotation__rowinterval_0_rowinterval_0_line_column_8'></table cellspacing='0' cellpadding='0' border='0'><table cellspacing='...
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q27 (SG), WORKING STATUS (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>TOTAL</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K+ E17.5K</th>
<th>E17.5K+ E29.5K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>d</td>
<td>o</td>
<td>4</td>
<td>5</td>
<td>7</td>
<td>8</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737<br>1790<br>1947<br>519<br>604<br>1172<br>1442<br>595<br>401<br>807<br>971<br>377<br>268<br>325<br>461<br>578<br>755<br>534<br>660<br>1916<br>720<br>580<br>661<br>2236<br>233<br>132<br>74<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>d</td>
<td>o</td>
<td>4</td>
<td>5</td>
<td>7</td>
<td>8</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504<br>1167<br>1308<br>343<br>401<br>807<br>971<br>377<br>268<br>325<br>461<br>578<br>755<br>534<br>660<br>1916<br>720<br>580<br>661<br>2236<br>233<br>132<br>74<br> </td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>d</td>
<td>O</td>
<td>€</td>
<td>€</td>
<td>€</td>
<td>€</td>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QZ7 (SG), WORKING STATUS (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<th>Significance Level: 95%</th>
<th>a</th>
<th>b</th>
<th>c</th>
<th>d</th>
<th>e</th>
<th>f</th>
<th>h</th>
<th>i</th>
<th>j</th>
<th>k</th>
<th>l</th>
<th>m</th>
<th>n</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total<br>Total<br>Effective Weighted Sample<br>Base for %<br>Working full time (30hrs/wk)<br>Working part time (8-29 hrs/wk)<br>Not working (i.e. under 8hrs/wk) - related<br>Not working (i.e. under 8hrs/wk) - unemployed (registered) / not registered but looking for work)</td>
<td>3737<br>2504<br>2675<br>1120<br>431<br>603<br>132<br>5%<br>23%<br>16%<br>13%<br>9%<br>11%<br>8%<br>5%<br>29%<br>3%<br>11%</td>
<td>249<br>221<br>338<br>200<br>65<br>88<br>10<br>38<br>45<br>18%<br>18%<br>18%<br>13%<br>9%<br>7%<br>9%<br>5%<br>29%<br>3%<br>11%</td>
<td><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">247</u><u style="text-decoration: underline;">250</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u><u style="text-decoration: underline;">251</u><u style="text-decoration: underline;">237</u><u style="text-decoration: underline;">252</u></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
<td rowspan="4" colspan="4"><strong>COLUMNS TESTED:</strong> <strong>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong>& <span style="color:red;"><b>BASE SIZE = 899, 95% CONFIDENCE LEVEL, 95% SIGNIFICANCE LEVEL, WEIGHTED DATA, BASE SIZE < 100 MARGINS OF ERROR ARE TOO LARGE TO BE REPORTED.</b></span>
<table>
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v w x y z t u v
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON SOUTH East SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST SOUTHEAST SOUTHWEST
```
<table>
<tr>
```
<th colspan='4'>Total LONDON SOUTH East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table>
```
<tr>
```
<th colspan='4'>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West Urban Rural Yes No Low Medium High o n m l k i j h e d c b a p q r s
<table
```
<table
<tr
<th colspan='4'>
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=0 border=0 align=center valign=top width=60%
<table cellspacing=0 cellpadding=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QZ7 (SG), WORKING STATUS (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total<br>Total<br>2875<br>Not working (i.e. under 18s/wk) - student<br>Not working (i.e. under 18s/wk) - housewife/disabled/other<br>Don't know<br>*<br>WORKING STATUS SUMMARY<br>WORKING<br>NOT WORKING<br>Columns Tested: abcdefghijklm-n-o<br></td>
<td>3737<br>2504<br>137<br>242<br>10<br>152<br>1114<br>837<br>1525<br>1000<br>869<br>699<br>577<br>575<br>574<br>573<br>572<br>571<br>570<br>569<br>568<br>567<br>566<br>565<br>564<br>563<br>562<br>561<br>560<br>560<br>560<br>560<br>560<br>560<br>560<br>560<br>560<br></td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</td><td>a b c d e f g h i j k l m n o</ td></tr>
<tr>
<td>Total LONDON South East South West East Midlands East of England Yorkshire and Humber North East North West URBAN RURAL YES NO LOW MEDIUM HIGH o
Unweighted total 3737 249 251 247 250 251 237 252 237 233 233 237 237 233 233 237 237 233 237 233 237 231 232 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 Effective Weighted Sample Total Not working (i.e. under 18s/wk) - student Not working (i.e. under 18s/wk) - housewife/disabled/other Don't know * WORKING STATUS SUMMARY WORKING NOT WORKING Columns Tested: abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
abcdefghijklm-n-o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
Q21 (SH). HOUSEHOLD STATUS (SINGLE CODE)
<table>
<thead>
<tr>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E1T.5K</td>
<td>E17.5K</td>
<td>E17.5K</td>
<td>E29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>n</td>
<td>4</td>
<td>5</td>
<td>8</td>
<td>1</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</TD><TD>447194951004610041004200430044004500460047004800490050005100520053005400550</TD><TD>144214421443179797197292792893793894795796797898899898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989898989</TD><TD>55156161616161616161616161616161616161616161616161616161616161616161616161616161616161616161616161616161616161616</TD><TD>457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457457</TD><TD>32233223322332233223322332233223322332233223322332233223322332233223322332233223322332233223322332233</TD><TD>70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70%</TD><TD>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Base for %<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Bought bought on mortgage<br>Brought brought out by household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the household's spending and saving activities or who is responsible to the household owner or manager or other person who makes decisions about the households' spending and saving activities.</table>
<table>
<thead>
<tr>
<th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<tr style="background-color: #faffff;">
<td style="text-align: center;">Total</table
<tr style="background-color: #faffff;">
<td style="text-align: center;">Significance Level: 95%</table
<tr style="background-color: #faffff;">
<td style="text-align: center;">Unweighted total</table
<tr style="background-color: #faffff;">
<td style="text-align: center;">Effective Weighted Sample Total Base for % Being brought up in a rented home Rented from Local Authority/ Housing Association/ Trust Rented from Private Landlord Other Columns Tested: a.b.c.d.e.f.g.h.i.j.k.l.m.n-o.p.q.r-s-t-u-v-w-x-y-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-z-zA-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Z-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-Za-
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 10
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QZ10 (SH): HOUSEHOLD STATUS (SINGLE CODE) Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>1947 519 604 1172 1442</td>
<td>559 401 451 615</td>
<td>797 1122 791 1022</td>
<td>2338 502 489 507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1197</td>
<td>1308 343 401 807 971</td>
<td>377 268 325 461</td>
<td>578 755 534 660</td>
<td>1916 310 301 378</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364 469 915 927</td>
<td>317 280 358 583</td>
<td>712 720 580 661</td>
<td>2236 233 132 74</td>
</tr>
<tr>
<td></td>
<td></td>
<td>49% 51%</td>
<td>14% 18% 34% 35%</td>
<td>12% 10% 13% 22%</td>
<td>27% 27% 22% 25%</td>
<td>84% 9% 5% 3%</td>
</tr>
<tr>
<td>Don't know</td>
<td>81 37</td>
<td>43 30</td>
<td>14 20</td>
<td>9 7</td>
<td>5 8</td>
<td>18 25</td>
<td>21 15</td>
<td>66 5</td>
<td>6 4</td>
</tr>
<tr>
<td></td>
<td></td>
<td>3% 3%</td>
<td>8% 3%</td>
<td>2% 2%</td>
<td>3% 3%</td>
<td>2% 1%</td>
<td>3% 3%</td>
<td>4% 2%</td>
<td>3% 2%</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></tbody></table>
Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r \<page_number>48%\</page_number>
Prepared by Saville Rossiter Base : \<page_number>01727.899.599\</page_number> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QZ10 (SH): HOUSEHOLD STATUS (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 252 251 251 237 233 232 231 232 231 232 231 232 231 232 231 232 231 232 231 232 231 232 231 232 231 232 231 232 231 232</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td>
<td>486</td><td>1861<br>1028<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>771<br>780<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>800<br>855</td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></td><td><u style="color:red;">95%</u></TD
<tr>
<td rowspan="4" colspan="4">Effective Weighted Sample Total Base for % Being bought on mortgage Owned outright by household Rented from Local Authority/ Housing Association Trust Rented from Private Landlord Other</table>
<table>
<thead>
<tr>
<th>%<br>(a)</th>
<th>%<br>(b)</th>
<th>%<br>(c)</th>
<th>%<br>(d)</th>
<th>%<br>(e)</th>
<th>%<br>(f)</th>
<th>%<br>(g)</th>
<th>%<br>(h)</th>
<th>%<br>(i)</th>
<th>%<br>(j)</th>
<th>%<br>(k)</th>
<th>%<br>(l)</th>
<th>%<br>(m)</th>
<th>%<br>(n)</th>
<th>%<br>(o)</th>
<th>%<br>(p)</th>
<th>%<br>(q)</th>
<th>%<br>(r)</th>
<th>%<br>(s)</th>
<th>%<br>(t)</th>
<th>%<br>(u)</th>
<th>%<br>(v)</th>
<th>%<br>(w)</th>
<th>%<br>(x)</th>
<th>%<br>(y)</th>
<th>%<br>(z)</th>
<th>%<br>(aa)</th>
<th>%<br>(ab)</th>
<th>%<br>(ac)</th>
<th>%<br>(ad)</th>
<th>%<br>(ae)</th>
<th>%<br>(af)</th>
<th>%<br>(ag)</th>
<th>%<br>(ah)</th>
<th>%<br>(ai)</th>
<th>%<br>(aj)</th>
<th>%<br>(ak)</th>
<th>%<br>(al)</th>
<th>%<br>(am)</th>
<th>%<br>(an)</th>
<th>%<br>(ao)<br> </table>
<table>
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<!-- Table -->
```html
<html lang='en'>
<head lang='en'>
<meta charset='UTF-8'>
<title>Data Table for QZI (Household Status) - Main Set - H1 2016 - Jan to Feb 2016 - Table 10 - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample - Households by Region and Working Status - Unweighted Sample
```
````
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QZ10 (SH): HOUSEHOLD STATUS (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<th></th>
<th></th>
<th>a</th>
<th>b</th>
<th>c</th>
<th>d</th>
<th>e</th>
<th>f</th>
<th>g</th>
<th>h</th>
<th>i</th>
<th>j</th>
<th>k</th>
<th>l</th>
<th>m</th>
<th>n</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>251<br>247<br>250<br>251<br>237<br>252<br>251<br>251<br>2711<br>1028<br>1861<br>1863<br>1792<br>1945</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions, urbanity, working, and deprivation levels.</img> <img>A table showing data on England regions,</i>
<table cellspacing="0">
<tr style="height: auto;">
<td style="width: 50%; vertical-align: top; padding-right: 1em;">Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o<br/>Don't know<br/>h<br/>Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Don't know<br/>a<br/>b<br/>c<br/>d<br/>e<br/>f<br/>g<br/>h<br/></table>
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
SH (8). Total number in household (including respondent and any children)
<table>
<thead>
<tr>
<td colspan="13">Table 11</td>
</tr>
<tr>
<td>GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E1T.5K</td>
<td>E1T.7K</td>
<td>E29.9K</td>
<td>E30K+</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>11£.9K</td>
<td>17£.9K</td>
<td>22£.9K</td>
<td>27£.9K</td>
<td>AB</td>
<td>C1 C2 DE</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x m</td>
<td>x m</td>
<td>x m</td>
<td>x m</td>
<td>ENG LAND</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<table border="1">
<tbody><tr><th>Land</th><th>Land WALES NI</th></tr><tr><th>Unweighted total</th><th>3737 1970 519 403 368 407 401 343 301 308 1167 1301 1374 464 468 469 915 927 317 280 358 583 720 580 661 2236 233 132 74</th><tr><th rowspan="2">Effective Weighted Sample</th><th rowspan="2">2504 1167 1308 343 401 807 971 377 268 325 461 578 755 534 660 1916 310 301 378</th><tr><th>361</th><th>61</th><th>22</th><th>13</th><th>507</th></tr><tr><th>Total</th><th>2675<br>49%<br>51%<br>14%<br>18%</th><th>49%<br>51%<br>14%<br>18%</th><th>4%<br>4%<br>9%<br>9%</th><th>5%<br>5%<br>9%<br>9%</th><th>4%<br>4%<br>9%<br>9%</th><th>x m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br>m<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | </table>><table border="1">
</tbody><tr><th rowspan="2">Eng Land WALES NI</th><table border="1">
</table>><table border="1">
</table>><table border="1">
</table>><table border="1">
</tr><tr><th rowspan="2">Mean number of people</th><th rowspan="2">2.7</th><th rowspan="2">2.7</th><th rowspan="2">2.8</th><th rowspan="2">3.3</th><th rowspan="2">3.1</th><th rowspan="2">3.2</th><th rowspan="2">3.9</th><th rowspan="2">4.0</th><th rowspan="2">4.0</th><th rowspan="2">4.0</th><table border="1">
</tr><tr><table border="1">
</table>><table border="1">
</table>><table border="1">
</table>><table border="1">
</tr><tr><th rowspan="2">Standard deviation Standard error Columns Tested: a-b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th><table border="1">
</table>><table border="1">
</table>><table border="1">
</tr></tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
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</tbody></table>><table border="1">
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</tbody></table>><table border="1">
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</tbody></table>><table border="1">
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</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></table>><table border="1">
</tbody></tr><tr><th colspan='8'>Prepared by Saville Rossler Base: oI7ZQ9 Z99 Z99
Table
Page
Number
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
SH (8). Total number in household (including respondent and any children)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 252 251 251 2711 1028 1861 1863 1792 1945</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221 237 237 233 233 237 235 237 231 232 231 2082 456 1294 1256 1218 1321</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>358 359 227 199 237 245 286 114 302 3307 87% 15% 58% 42% 54% 48%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th rowspan="2">I</th><th rowspan="2">Total</th><th rowspan="2">LONDON a b c d e f g h i j k l m n o p q r s t u v w x y z</th><th rowspan="2">SIGNIFICANCE LEVEL: 95%</th><th rowspan="2">ENGLAND REGIONS a b c d e f g h i j k l m n o p q r s t u v w x y z</th><th rowspan="2">URBANITY YES NO LOW MEDIUM HIGH</th><th rowspan="2">WORKING a b c d e f g h i j k l m n o p q r s t u v w x y z</th><th rowspan="2">DEPRIVATION LEVEL a b c d e f g h i j k l m n o p q r s t u v w x y z</th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></than td colspan="4" style="border-top: none;"></tr><tr><thead style='text-align:center;'>I</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr>
<th>I.</table>
<table border="1">
<thead><tr><thead style='text-align:center;'>I.</thead></tr>
<tr
<page_number>Table 11</page_number>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 12
SI (SK), Household size
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER E11.9K E17.9K E29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOTLAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c c</td>
<td>1</td>
<td>1</td>
<td>4</td>
<td>3</td>
<td>4</td>
<td>1</td>
<td>1</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</td>
<td>1947</td>
<td>519 604 1172 1442</td>
<td>559 401 451 615</td>
<td>797 1122 751 1022</td>
<td>2338 502 489 507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>1167</td>
<td>1308</td>
<td>343 401 807 971</td>
<td>377 268 325 461</td>
<td>578 755 534 660</td>
<td>1916 310 301 378</td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>1301</td>
<td>1374</td>
<td>364 469 915 927</td>
<td>317 280 358 583</td>
<td>712 720 580 661</td>
<td>2236 233 132 74</td>
</tr>
<tr>
<td><small>Small (1-2 people)</small></td>
<td><small>49%</small></td>
<td><small>51%</small></td>
<td><small>14%</small></td>
<td><small>18%</small></td>
<td><small>34%</small></td>
<td><small>35%</small></td>
<td><small>12%</small></td>
<td><small>10%</small></td>
<td><small>13%</small></td>
<td><small>22%</small></td>
<td><small>27%</small></td>
<td><small>27%</small></td>
<td><small>22%</small></td>
<td><small>25%</small></td>
<td><small>84%</small></td>
<td><small>9%</small></td>
<td><small>5%</small></td><td><small>3%</small></td></tr>
<tr>
<td><small>Middle (3-4 people)</small></td>
<td><small>52%</small></td>
<td><small>50%</small></td>
<td><small>48%</small></td>
<td><small>31%</small></td>
<td><small>32%</small></td><td><small>35%</small></td><td><small>80%</small></td><td><small>73%</small></td><td><small>48%</small></td><td><small>37%</small></td><td><small>50%</small></td><td><small>51%</small></td><td><small>46%</small></td><td><small>49%</small></td><td><small>50%</small></td><td><small>84%</small></td><td><small>55%</small></td><td><small>51%</small></td></tr>
<tr>
<td> b<br> </table>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: auto;">Medium (3-4 people)</th><th style="width: auto;">Large (5+ people)</th><th style="width: auto;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r<br> <br> </table>
Prepared by Saville Rossiter Base : <page_number>DITPZQVJUWYDQXZTQFZLZCQGJNQZBQVWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJWVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJVJV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV JV J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V J V I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S i s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s
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s
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IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXI X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
Table 12
SI (SK), Household size
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST ENG</th>
<th>YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n<br>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>251<br>247<br>250<br>251<br>237<br>252<br>251<br>251<br>2711<br>1028<br>1861<br>1863<br>1792<br>1945</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221<br>237<br>237<br>233<br>233<br>225<br>231<br>232<br>231<br>2082<br>456<br>1294<br>1256<br>1218<br>1321</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>338<br>359<br>359<br>227<br>199<br>237<br>245<br>226<br>114<br>302<br>2315<br>360<br>1552<br>1114<br>1443<br>48%</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Small (1-2 people)</td>
<td>1378</td>
<td>128<br>177<br>88<br>99<br>55%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th rowspan="2"></th>
<th rowspan="2">Total (n=60)</th>
<th rowspan="2">LONDON (n=6)</th>
<th rowspan="2">SOUTH EAST (n=6)</th>
<th rowspan="2">SOUTH WEST (n=6)</th>
<th rowspan="2">EAST MID (n=6)</th>
<th rowspan="2">EAST ENG (n=6)</th>
<th rowspan="2">YORKSHIRE (n=6)</th>
<th rowspan="2">NORTH EAST (n=6)</th>
<th rowspan="2">NORTH WEST (n=6)</th>
<th rowspan="2">URBAN (n=6)</th>
<th rowspan="2">RURAL (n=6)</th>
<th rowspan="2">YES (n=6)</th>
<th rowspan="2">NO (n=6)</th>
<th rowspan="2">LOW (n=6)</th>
<th rowspan="2">MEDIUM HIGH (n=6)</th>
</tr>
<tr style="background-color: #f0f0f0;">
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<header style="font-size:.8em;">Columns Tested : a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
Columns Tested : a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
Total
Unweighted total
Effective Weighted Sample
Total
Small (1-2 people)
Medium (3-4 people)
Large (5+ people)
bcdefghijk-lm-n-o
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote a weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
SJ. Total number of children in household (under 18), including respondent (if respondent is under 18)
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E11.5K</th>
<th>E17.5K</th>
<th>E29.5K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</ td></tr>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;">Significance Level: 95%</table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan="28" style="text-align:center;"></table>
<tr class="header_bottom_margin">
<td colspan=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
SJ. Total number of children in household (under 18), including respondent (if respondent is under 18)
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 252 251 251 2711 1028 1861 1863 1792 1945</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221 237 237 233 233 225 231 232 231 2082 456 1294 1256 1218 1321</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>358 359 227 199 237 245 226 114 302 3315 360 1552 1114 1443 1323</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br/>
<td>87%<br/>7%<br/>9%<br/></td><br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<a href="#table_1" name="table_1"><table id="table_1">
<thead id="table_1__header">
<tr id="table_1__header_row">
<th rowspan="1">Total</th><th rowspan="1">LONDON</th><th rowspan="1">SOUTH EAST WEST</th><th rowspan="1">SOUTH WEST EAST MIDLANDS</th><th rowspan="1">EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST WEST RURAL URBAN RURAL YES NO LOW MEDIUM HIGH o p q r s t u v w x y z</th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></th><th rowspan="1"></than="" td=""><br/></a>None
<br/></a>63%
<br/></a>54%
<br/></a>62%
<br/></a>63%
<br/></a>59%
<br/></a>65%
<br/></a>65%
<br/></a>63%
<br/></a>66%
<br/></a>65%
<br/></a>68%
<br/></a>65%
<br/></a>75%
<br/></a>69%
<br/></a>60%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>44%
<br/></a>o p q r s t u v w x y z
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
/n o p q r s t u v w x y z
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 13
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margin of error become too great. Data is tested at the 95% confidence level.
SJ. Total number of children in household (under 18), including respondent (if respondent is under 18)
Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td>Total</td>
<td colspan="7">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td></td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Standard error<br>Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o</td>
<td>.02<br>.07<br>.06<br>.06<br>.08<br>.08<br>.08<br>.07<br>.08<br>.07<br>.06<br>.02<br>.03<br>.02<br>.02<br>.02</td>
</tr>
</thead>
<tbody><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table>
Prepared by Saville Rossiter Base : 01727 899 599
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 14
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
SK (SM). Can you speak or write in Welsh at all? (SINGLE CODE)
Base: All respondents in Wales
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>8</td>
<td>5</td>
<td>c c c c</td>
<td>1</td>
<td>1</td>
<td>-c -p -p -p</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>489</td>
<td>231</td>
<td>258 58 76 138 217 76 58 43 66 100 161 104 123</td>
<td></td>
<td></td>
<td>-c -p -p -p</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>301</td>
<td>146</td>
<td>155 36 47 87 142 50 32 27 45 62 105 65 79</td>
<td></td>
<td></td>
<td>-c -p -p -p</td>
</tr>
<tr>
<td>Total</td>
<td>132</td>
<td>64</td>
<td>68 15 25 44 49 20 15 13 23 30 33 31 38</td>
<td></td>
<td></td>
<td>-c -p -p -p</td>
</tr>
<tr>
<td></td>
<td></td>
<td>49%</td>
<td>51%</td>
<td>** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % </td>
</tr>
<tr>
<td>Yes, and fluent</td>
<td>12</td>
<td>7</td>
<td>5** * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *</td>
<td>* * *</td>
<td>* *</td><td>-c -p -p -p -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -c -p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p </td><td>-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-p-</td><td>-p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=p<p=<<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
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<table>
<table>
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<table>
<table>
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<table>
<table>
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<table>
<table>
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<table>
<table>
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<table>
<table>
<table>
<table>
<table>
<table>
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<table>
<table>
<table>
<table>
<table>
<!-- Table -->
```html
<html><body><div class="table" style="width: auto; border-collapse: collapse; margin-top: .5em;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="8">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th colspan="3">Table 14<br>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.</th><th colspan="3">SK (SM). Can you speak or write in Welsh at all? (SINGLE CODE)</th><th colspan="3">Base: All respondents in Wales<br>Total<br>Significance Level: 95%</th><th colspan="3">GENDER<br>AGE GROUP<br>HOUSEHOLD INCOME<br>SOCIAL GROUP<br>NATION<br>No Test Results<br>COLUMNS TESTED: a,b-c,d,e,f-g,h,i-j-k,l,m,n-o,p,q,r<br>PREPARED BY SAVILLE ROSSLER BASE: DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D99<br>DITI727 D99 D
````
```json
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},
{
"% significance level",
description: "% significance level",
```
```json
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[
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 14
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
SK (SM). Can you speak or write in Welsh at all? (SINGLE CODE)
Base : All respondents in Wales
<table>
<thead>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDS</td>
<td>EAST WEST</td>
<td>EAST OF ENG</td>
<td>YORKSH HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
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</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
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<td>-h</td>
<td>-i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>489</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>240</td>
<td>249</td>
<td>210</td>
<td>279</td>
<td>287</td>
<td>202</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>301</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>198</td>
<td>211</td>
<td>135</td>
<td>192</td>
<td>161</td><td>145</td>
</tr>
<tr>
<td>Total</td>
<td>132</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="border-top: 1px solid black;">
<th colspan="16">Yes, and fluent<br>(%)</th></tr>
<tr style="border-top: 12px solid black;">
<th></th>
<th>Yes, but not fluent<br>(%)</th>
<th>No<br>(%)</th>
<th>%<span style="color:red;">-a/-b/-c/-d/-e/-f/-g/-h/-i/-j/-k/-l/-m/-n/-o/-p/-q/-r/-s/-t/-u/-v/-w/-x/-y/-z/(-)</span></th>
<th>%<span style="color:green;">+a/+b/+c/+d/+e/+f/+g/+h/+i/+j/+k/+l/+m/+n/+o/+p/+q/+r/+s/+t/+u/+v/+w/+x/+y/+z/(+)</span></th>
<th>%<span style="color:red;">-a/-b/-c/-d/-e/-f/-g/-h/-i/-j/-k/-l/-m/-n/-o/-p/-q/-r/-s/-t/-u/-v/-w/-x/-y/-z/(-)</span></th>
<th>%<span style="color:green;">+a/+b/+c/+d/+e/+f/+g/+h/+i/+j/+k/+l/+m/+n/+o/+p/+q/+r/+s/+t/+u/+v/+w/+x/+y/+z/(+)</span></th>
<th>%<span style="color:red;">-a/-b/-c/-d/-e/-f/-g/-h/-i/-j/-k/-l/-m/-n/-o/-p/-q/-r/-s/-t/-u/-v/-w/-x/-y/-z/(-)</span></th>
<th>%<span style="color:green;">+a/+b/+c/+d/+e/+f/+g/+h/+i/+j/+k/+l/+m/+n/+o/+p/+q/+r/+s/+t/+u/+v/+w/+x/+y/+z/(+)</span></th>
<th>%<span style="color:red;">-a/-b/-c/-d/-e/-f/-g/-h/-i/-j/-k/-l/-m/-n/-o/-p/-q/-r/-s/-t/-u/-v/-w/-x/-y/-z/(-)</span></th>
<th>%<span style="color:green;">+a/+b/+c/+d/+e/+f/+g/+h/+i/+j/+k/+l/+m/+n/+o/+p/+q/+r/+s/+t/+u/+v/+w/+x/+y/+z/(+)</span></th>
<th>%<span style="color:red;">-a,-b,-c,-d,-e,-f,-g,-h,-i,-j,-k,-l,-m,-n,-o,-p,-q,-r,-s,-t,-u,-v,-w,-x,-y,-z/(-)</span></th>
<th>%<span style="color:green;">+a,+b,+c,+d,+e,+f,+g,+h,+i,+j,+k,+l,+m,+n,+o,+p,+q,+r,+s,+t,+u,+v,+w,+x,+y,+z/(+)</span></th>
<th>%<span style="color:red;">-a,-b,-c,-d,-e,-f,-g,-h,-i,-j,-k,-l,-m,-n,-o,-p,-q,-r,-s,-t,-u,-v,-w,-x,-y,-z/(-)</span></th>
<th>%<span style="color:green;">+a,+b,+c,+d,+e,+f,+g,+h,+i,+j,+k,+l,+m,+n,+o,+p,+q,+r,+s,+t,+u,+v,+w,+x,+y,+z/(+)</span></th>
<th>%<span style="color:red;">-a,/(-)</span></th>
<th>%<span style="color:green;">(+)/(+)</span></th>
<th>%<span style="color:red;">-(+)</span></th>
<th>%<span style="color:green;">(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)*/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)/(+)*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*/*
<tr style="border-top: 1px solid black;">
<th colspan="16">Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n-o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 15
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
SL (SN). What is you preferred language? (SINGLE CODE)
Base : All respondents in Wales
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 16-24</td>
<td>E11.5K-E17.5K</td>
<td>E17.5K-E29.5K</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>5+ c+</td>
<td>5+ c+</td>
<td>5+ c+</td>
<td>5+ c+</td>
<td>5+ c+</td>
<td>5+ c+</td>
<td>5+ c+</td>
<td>-c-</td>
<td>-p-</td>
<td>-p-</td>
<td>-p-</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>489</td>
<td>231</td>
<td>258</td>
<td>58</td>
<td>76</td>
<td>138</td>
<td>217</td>
<td>76</td>
<td>58</td>
<td>43</td>
<td>66</td>
<td>100</td>
<td>161</td>
<td>104</td>
<td>123</td><td>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-- <span style="color:red;">489 </span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><span style="color:red;">-</span><div class='highlight'><pre>< span class='hljs-number'>-</div></pre></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>English<br/>28<br/>20%</th>
<th>13<br/>4%</th>
<th>13<br/>4%</th>
<th>8<br/>3%</th>
<th>8<br/>3%</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th><div class='highlight'><pre>< span class='hljs-number'>-</div></pre></div></div></div></div></div></div></div></table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>Welsh<br/>4<br/>3%</th>
<th>1<br/>4%</th>
<th>1<br/>4%</th>
<th>2<br/>8%</th>
<th>2<br/>8%</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th>
<th>*</th><div class='highlight'><pre>< span class='hljs-number'>-</div></pre></div></div></div></table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>Don't know<br/>1<br/>%</th>
<th>*</th><div class='highlight'><pre>< span class='hljs-number'>-</div></pre></div></table>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>101<br/>48%</th>
<th>48<br/>48%</th><div class='highlight'><pre>< span class='hljs-number'>-</div></pre></div>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>76<br/>75%</th>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <u>%?</u>/ <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH<br/>CANNOT SPEAK OR WRITE IN WELSH<br/>WELSH<br/>47% <b>c.d.e.f.</b>/<b>c.h.i.j.-k.l.m.n-o.p.q.r.</b>
<table border='1'>
<thead border='1'>
<tr border='1'>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELISH
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 15
SL (SN). What is your preferred language? (SINGLE CODE)
Base: All respondents in Wales
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>489</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>240<br>249<br>210<br>279<br>287<br>202<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>301</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j<br>198<br>211<br>135<br>192<br>161<br>145<br> </td>
<td>k<br>78%<span style="color: #ff0000;">22%</span> <span style="color: #00ff00;">56%</span> <span style="color: #0000ff;">44%</span> <span style="color: #ffff00;">58%</span> <span style="color: #ffffff;">42%</span> </td>
<td>m<br>77<span style="color: #ff0000;">56%</span> <span style="color: #00ff00;">44%</span> <span style="color: #0000ff;">58%</span> <span style="color: #ffff00;">42%</span> </td>
<td>n<br>55<span style="color: #ffffff;">42%</span> </td></tr>
<tr>
<th>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH
</th>
<th>
English
</th>
<th>
26
</th>
<th>
-a
</th>
<th>
-b
</th>
<th>
-c
</th>
<th>
-d
</th>
<th>
-e
</th>
<th>
-f
</th>
<th>
-g
</th>
<th>
-h
</th>
<th>
-i
</th>
<th>
-j
</th>
<th>
-k
</th>
<th>
-l
</th>
<th>
-m
</th>
<th>
-n
</th>
<th>
-o
</th>
<table border="1">
<thead align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH
English
26
- a
- b
- c
- d
- e
- f
- g
- h
- i
- j
- k
- l
- m
- n
- o
:</table>
<table border="1">
<tbody align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">
English
26
- a
- b
- c
- d
- e
- f
- g
- h
- i
- j
- k
- l
- m
- n
- o:
:</table>
<table border="1">
<tbody align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">
English
26
- a
- b
- c
- d
- e
- f
- g
- h
- i
- j
- k
- l
- m
- n
- o:
:</table>
<table border="1">
<tbody align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">
English
26
- a
- b
- c
- d
- e
- f
- g
- h
- i
- j
- k
- l
- m
- n
- o:
:</table>
<table border="1">
<tbody align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">
English
26
- a
- b
- c
- d
- e
- f
- g
- h
- i
- j
- k
- l
- m
- n
- o:
:</table>
<table border="1">
<tbody align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">
English
26
- a
- b
- c
- d
- e
- f
- g
- h
- i
- j
- k
- l
- m
- n
- o:
:</table>
<table border="1">
<tbody align="center">
<tr align="center">
<th colspan="8" style="text-align:center; font-weight:bold; vertical-align:middle;">
English
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o:</table>
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o:</table>
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o:</table>
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o:</table>
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o:</table>
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26
<table border=1 cellspacing=0 cellpadding=3 width=100% height=3em align=center valign=top style='border-collapse: collapse;border:none;' class='table'>
<tr align='left' valign='top'>
<th colspan='8' style='font-size:small;padding-top:.5ex;padding-bottom:.5ex;'>PREFERRED LANGUAGE FOR THOSE WHO CAN SPEAK OR WRITE IN WELSH English 26
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q81. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K</th>
<th>E17.5K</th>
<th>E17.5K+ E29.5K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>49</td>
<td>489</td>
<td>507</td>
<td>517</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</td>
<td>1947</td>
<td>519</td>
<td>604</td>
<td>1172</td>
<td>1442</td>
<td>595</td>
<td>401</td>
<td>451</td>
<td>615</td>
<td>797</td>
<td>1122</td>
<td>791</td>
<td>1022</td>
<td>2239</td>
<td>502</td>
<td>489</td><td>507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>1167</td>
<td>1308</td>
<td>343</td>
<td>401</td>
<td>807</td>
<td>971</td>
<td>377</td>
<td>268</td>
<td>325</td>
<td>461</td>
<td>578</td>
<td>755</td><td>534</td><td>660</td><td>1916</td><td>310</td><td>301</td><td>378</td>
</tr>
<tr>
<td>Total<br>Total<br>A standard DVD player<br>Videogame consoles connected to a TV (e.g. Sony PlayStation, Nintendo Wii) (Microsoft Xbox)</td><td rowspan="2">2675<br rowspan="2">56%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br rowspan="2">48%</br></table>
<table border='1'>
<tr style='text-align:center;'>
<th>E-reader - digital book reader (e.g. Kindle, Sony Reader, Kobo)</th><th style='text-align:left;'>744<br style='font-size:small;'>eReader, Nook eReader)</th><th style='text-align:left;'>36%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>397<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>97<br style='font-size:small;'>97%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>119<br style='font-size:small;'>119%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr style='border-top: 1px solid black; width: 60%;'>eReader, Nook eReader)</th><th style='text-align:left;'>39<br style='font-size:small;'>39%<hr(style=top-border) border-bottom-style:none;border-right-style:none;border-left-style:none;border-bottom-color:none;border-right-color:none;border-left-color:none;border-bottom-width:none;border-right-width:none;border-left-width:none;border-bottom-style:none;border-right-style:none;border-left-style:none;border-bottom-color:none;border-right-color:none;border-left-color:none;border-bottom-width:none;border-right-width:none;border-left-width:none;border-bottom-style:none;border-right-style:none;border-left-style:none;border-bottom-color:none;border-right-color:none;border-left-color:none;border-bottom-width:none;border-right-width:none;border-left-width:none;border-bottom-style:none;border-right-style:none;border-left-style:none;border-bottom-color:none;border-right-color:none;border-left-color:none;border-bottom-width:none;border-right-width:none;border-left-width:none:border-bottom-style:none:border-right-style:none:border-left-style:none:border-bottom-color:none:border-right-color:none:border-left-color:none:border-bottom-width:none:border-right-width:none:border-left-width:none:border-bottom-style:none:border-right-style:none:border-left-style:none:border-bottom-color:none:border-right-color:none:border-left-color:none:border-bottom-width:none:border-right-width:none:border-left-width:none:border-bottom-style:none:border-right-style:none:border-left-style:none:border-bottom-color:none:border-right-color:none:border-left-colornone:<style border-bottom-style:solid border-right-style:solid border-left-style:solid border-bottom-color:black border-right-color:black border-left-color:black border-bottom-width:.5em border-right-width:.5em border-left-width:.5em border-bottom-style:solid border-right-style:solid border-left-style:solid border-bottom-color:black border-right-color:black border-left-color:black border-bottom-width:.5em border-right-width:.5em border-left-width:.5em border-bottom-style:solid border-right-style:solid border-left-style:solid border-bottom-color:black border-right-color:black border-left-color:black border-bottom-width:.5em border-right-width:.5em border-left-width:.5em:border-bottom-style:solid:border-right-style:solid:border-left-style:solid:border-bottom-color:black:border_right_color:black:border_left_color:black:border_bottom_width:.5em:border_right_width:.5em:border_left_width:.5em:</style>e Reader, Noook e Reader)</table>
<table border= '1'>
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
<table cellspacing= '0' cellpadding= '0' border= '0' >
<tbody >
<tr align=center valign=top >
</tbody >
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q81. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTICODE)
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K</th>
<th>E17.5K</th>
<th>E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>d</td>
<td>o</td>
<td>4</td>
<td>5</td>
<td>7</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737<br>1790<br>1947<br>519<br>604<br>1172<br>1442<br>595<br>401<br>807<br>971<br>377<br>268<br>325<br>461<br>578<br>755<br>534<br>660<br>712<br>720<br>580<br>661<br>2236<br>233<br>132<br>74<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>d</td>
<td>o</td>
<td>43</td>
<td>95</td>
<td>85</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504<br>1167<br>1308<br>343<br>401<br>807<br>971<br>377<br>268<br>325<br>461<br>578<br>755<br>534<br>660<br>712<br>720<br>580<br>661<br>2236<br>233<br>132<br>74<br> </td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>r</td>
<td>r</td>
<td>r</td>
<td> </td>
<td> </td>
<td> </td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="16" style="text-align: center;">Handheld portable games player (e.g. Nintendo DS, Sony PSP)</td></tr>
<tr style="border-top: 1px solid black;">
<td rowspan="2">A smart watch - a wearable computer that may be compatible with a smartphone. Brands include Apple Watch, Pebble, Samsung and Sony.</td>
<table border="1">
<thead>
<tr>
<th rowspan="2">Total (n = 89)</th>
<th rowspan="2">MALE (n = 49)</th>
<th rowspan="2">FEMALE (n = 40)</th>
<th rowspan="2">16-24 (n = 49)</th>
<th rowspan="2">25-34 (n = 40)</th>
<th rowspan="2">35-54 (n = 40)</th>
<th rowspan="2">55+ (n = 40)</th>
<th rowspan="2">UNDER (n = 49)</th>
<th rowspan="2">E1T.5K (n = 49)</th>
<th rowspan="2">E17.5K (n = 40)</th>
<th rowspan="2">E29.9K (n = 40)</th>
<th rowspan="2">E30K+ (n = 49)</th>
<th rowspan="2">AB (n = 49)</th>
<th rowspan="2">C1 (n = 49)</th>
<th rowspan="2">C2 (n = 40)</th>
<th rowspan="2">DE (n = 40)</th>
<th rowspan="2">> ENG LAND (n = 49)</th>
<th rowspan="2">> SCOT LAND (n = 40)</th>
<th rowspan="2">> WALES (n = 49)</th>
<th rowspan="2">> NI (n = 49)</th>
</tr>
<tr>
<th>GENDER (n = 89)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
<th>GENDER (n = 49)</th>
<th>GENDER (n = 40)</th>
</tr>
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Total (n = 89) > ENG LAND > WALES > NI > SCOT LAND > ENG LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND > WALES > NI > SCOT LAND <br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: larger;"><br></b><br><b style="font-size: large
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 16
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QB1. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTICODE)
Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td>GENDER</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>8 8 5 c</td>
<td>1 1 1</td>
<td>1 1 1</td>
<td>x x m</td>
<td>0 4 4</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790 1947</td>
<td>519 604 1172</td>
<td>1442 559 401</td>
<td>451 615 797</td>
<td>1122 791 1022</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1167 1308</td>
<td>343 401 807</td>
<td>971 377 268</td>
<td>325 461 578</td>
<td>755 534 660</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301 1374</td>
<td>364 469 915</td>
<td>927 317 280</td>
<td>358 583 712</td>
<td>720 580 661</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>Don't know</td><td>6 % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % </tr>
<tr><td colspan="6">Columns Tested: a.b - c.d.e.f.- g.h.i.j-k.l.m.n- o.p.q.r<br/>63%<br/>37% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -%</tr>
Prepared by Saville Rossiter Base : <page_number>01727 899 399</page_number>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 16
Q81. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTICODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 252 251 251 2711 1028 1861 1863 1792 1945</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221 237 237 233 233 237 235 231 231 237 2082 456 1294 1256 1218 1321</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>358 359 227 199 237 245 238 286 114 302 2315 360 1552 1114 1443 486</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th>A standard DVD player</th><th>Video games console connected to a TV (e.g. Sony PlayStation, Nintendo Wii or Microsoft Xbox)</th><th>8%<br>8%<br>8%<br>8%</th><th>a<br>a<br>a<br>a<br>a<br>a<br>a<br>a<br>a<br>a<br>j<br>9%<br>9%<br>9%<br>9%</th><th>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>m<br>5%<br>5%<br>5%<br>5%</th><th>c<br>c<br>c<br>c<br>c<br>c<br>c<br>c<br>c<br>c<br>n<br>4%<br>4%<br>4%<br>4%</th><th>d<br>d<br>d<br>d<br>d<br>d<br>d<br>d<br>d<br>d<br>p<br>4%<br>4%<br>4%<br>4%</th><th>e<br>e<br>e<br>e<br>e<br>e<br>e<br>e<br>e<br>e<br>r<br>4%<br>4%<br>4%<br>4%</th><th>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>s<br>4%<br>4%<br>4%<br>4%</th><th>t<br>t<br>t<br>t<br>t<br>t<br>t<br>t<br>t<br>t<br>v|w|y|z|o|p|q|r|s|t|u|v|w|x|y|z|o|p|q|r|s|t|u|v|w|x|y|z|o|p|q|r|s|t|u|v|w|x|y|z|o|p|q|r|s|t|u|v|w|x|y|z|o|p|q|r|s|t|u|v|w|x|y|z|o|p|q|r|s|t|u|v|w|x|y|z|o|p|q|r|s|t|u|v|w|x|y|z</th><th>x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z o p q r s t u v w x y z о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с т у в х я з о п р с 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опростуквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгквяхазоицпгk
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f g h i j k l m n e f г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d e f g h i j k l m n e f g h i j k l m n e f г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d e f г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d е г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d е г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d е г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><th>Colums Tested: a.b.c.d.e.f.g.h.j.-j.k-l.m-n.o</th><th>b c d е г к
<table border="1">
<thead><tr><th>A Blu Ray DVD player</th><table border="1">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">Table 16
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td colspan="6" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 16
QB1. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861</td>
<td>1863</td>
<td>1792</td>
<td>1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>235</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082</td>
<td>456</td>
<td>1294</td>
<td>1256</td>
<td>1218</td><td>1321</td></tr>
<tr>
<td>Total<br>Total 2675<br>Total 338<br>Total 13%<br>Total 15%<br>Total 10%<br>Total 7%<br>Total 5%<br>Total 18%<br>Total 7%</br>Total 9%<br>Total 9%<br>Total 9%<br>Total 9%<br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br>Total 9%</br></tr>
<tr><td colspan="3">Handheld portable games player (e.g. Nintendo DS, Sony PSP)</td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td><td colspan="3"></td></tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td></tr>
<tr><td rowspan="4">A smart watch - a wearable computer that may be compatible with a smartphone.<br>D brands include Apple Watch, Pebble,<br>Samsung and Sony.</tr>
<tr><tbody>
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<table cellspacing='0' style='width: auto;'>
<thead style='text-align: center;'>
<tr style='background-color: #f0f0f0;'>
<th style='padding: .5em;'>Columns Tested:</th><th style='padding: .5em;'>a,b,c,d,e,f,g,h,i,j,k-l,m-n,o<br/></th><th style='padding: .5em;'>Total<br/></th><th style='padding: .5em;'>LONDON<br/></th><th style='padding: .5em;'>SOUTH EAST<br/></th><th style='padding: .5em;'>SOUTH WEST<br/></th><th style='padding: .5em;'>EAST MIDLANDS<br/></th><th style='padding: .5em;'>EAST OF ENGLAND<br/></th><th style='padding: .5em;'>YORKSHIRE AND THE HUMBER<br/></th><th style='padding: .5em;'>NORTH EAST<br/></th><th style='padding: .5em;'>NORTH WEST<br/></th><th style='padding: .5em;'>URBAN<br/></th><th style='padding: .5em;'>RURAL<br/></th><th style='padding: .5em;'>YES<br/></th><th style='padding: .5em;'>NO<br/></th><th style='padding: .5em;'>LOW<br/></th><th style='padding: .5em;'>MEDIUM<br/></th><th style='padding: .5em;'>HIGH<br/></th></tr></thead></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>/tfoot/><tfoot/><tr class='tfootline'><style>.tfootline td { border-top: none; 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Prepared by Saville Rossiter Base :01727 899 369
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 16
QB1. SHOWCARD Which of the following do you, or does anyone in your household, have in your home at the moment? (MULTICODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<th></th>
<th></th>
<th>a</th>
<th>b</th>
<th>c</th>
<th>d</th>
<th>e</th>
<th>f</th>
<th>g</th>
<th>h</th>
<th>i</th>
<th>j</th>
<th>k</th>
<th>l</th>
<th>m</th>
<th>n</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
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<br/>
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<br/>
<br/>
<br/>
<br/>
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<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/
/></table>
Unweighted total
3737
249
251
247
250
251
237
252
251
251
2711
1028
1861
1863
1792
1945
Effective Weighted Sample
2504
221
237
237
233
233
225
231
232
231
2082
456
1294
1256
1218
1321
Total
2675
338
359
227
189
237
245
226
114
302
2315
360
1552
1114
1443
1232
None of these
531
60%
48%
48%
48%
48%
48%
48%
48%
473
53%
20%
23%
29%
bcdefghi jk l m n o
Don't know
Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Prepared by Saville Rossiter Base : 01727 899 599
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q82. SHOWCARD And do you personally use..? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1797</td>
<td>519 401</td>
<td>4142 807</td>
<td>491 377</td>
<td>451 325</td>
<td>615 461</td>
<td>797 712</td>
<td>1122 751</td>
<td>1022 660</td>
<td>2236 310</td>
<td>409 301</td>
<td>507 378</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1197</td>
<td>343 401</td>
<td>915 871</td>
<td>377 268</td>
<td>461 578</td>
<td>755 534</td>
<td>812 720</td>
<td>580 580</td>
<td>661 661</td>
<td>233 233</td>
<td>334 334</td>
<td>132 132</td>
<td>74 74</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>384 469</td>
<td>927 895</td>
<td>317 280</td>
<td>358 583</td>
<td>712 580</td>
<td>720 580</td>
<td>50% 50%</td>
<td>22% 22%</td>
<td>25% 25%</td>
<td>84% 84%</td>
<td>9% 9%</td>
<td>3% 3%</td>
</tr>
<tr>
<td>A standard DVD player</td>
<td>1239 600</td>
<td>639 141</td>
<td>444 747</td>
<td>147 130</td>
<td>163 103</td>
<td>355 304</td>
<td>314 283</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><b>Videogames console connected to a TV (e.g. Sony PlayStation, Nintendo Wii/Microsoft Xbox)</b>:<b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></div/></table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th rowspan="2">Base (% of Respondents)</th>
<th colspan="6" style="text-align: center;">GENDER GROUPS AND HOUSEHOLD INCOME RANGES (in £)</th>
<th colspan="6" style="text-align: center;">SOCIAL GROUPS AND NATIONS (in %)</th>
</tr>
<tr style="text-align: center;">
<th colspan="2">Total (N=8,999)</th>
<th colspan="2">Under £1,9k (£1,9k - £2,9k)</th>
<th colspan="2">£1,9k - £2,9k (£2,9k - £3,9k)</th>
<th colspan="2">£3,9k - £4,9k (£4,9k - £5,9k)</th>
<th colspan="2">£5,9k - £6,9k (£6,9k - £7,9k)</th>
<th colspan="2">£7,9k - £8,9k (£8,9k - £9,9k)</th>
<th colspan="2">£9,9k - £10,9k (£10,9k - £11,9k)</th>
<th colspan="2">£11,9k - £12,9k (£12,9k - £13,9k)</th>
<th colspan="2">£13,9k - £14,9k (£14,9k - £15,9k)</th>
<th colspan="2">£15,9k - £16,9k (£16,9k - £17,9k)</th>
<th colspan="2">£17,9k - £18,9k (£18,9k - £19,9k)</th>
<th colspan="2">£18,9k - £19,9k (£19,9k - £20,0)</th>
<th colspan="2">£20,0+ (£20,0+)</th>
<th colspan="2">AB C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y ЗA БСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZАБСДЕФГHIJKLМNOPQRSTUVWXYZЗA Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В В Х З А Б С Д Е Ф Г Х И Й К Л М Н О П Р С Т У В ВХЗA БCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZYAZBCDEFGHIIJKLMMNOPQRRSITUWVXZ
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 17
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q82. SHOWCARD And do you personally use...? (MULTI CODE)
| GENDER | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION |
|---|---|---|---|---|
| Total | MALE | FEMALE | 16-24 | 25-34 | 35-54 | 55+ | UNDER | E11.5K | E17.5K | E29.9K | E30K+ | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI |
| Significance Level: 95% | e | b | c | d | e | f | g | h | i | j | k | l | m | n | o | p | q | r | s | t |
| Unweighted total | 3737 | 1790 | 1947 | 519 | 604 | 1172 | 1442 | 595 | 401 | 451 | 615 | 797 | 1122 | 791 | 1022 | 2329 | 502 | 489 | 507 |
| Effective Weighted Sample | 2504 | 1167 | 1308 | 343 | 401 | 807 | 971 | 377 | 288 | 325 | 461 | 578 | 755 | 534 | 660 | 1916 | 310 | 301 |
| Total (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) (n=2675) |
| Handhelds: portable games player (e.g. Nintendo DS, Sony PSP) <br> A smart watch - a wearable computer that may be compatible with a smartphone. Brands include Apple Watch, Pebble, Samsung and Sony <br> ANY DVD PLAYER <br> ANY GAMES CONSOLE <br> None of these |
| Handhelds: portable games player (e.g. Nintendo DS, Sony PSP) <br> A smart watch - a wearable computer that may be compatible with a smartphone. Brands include Apple Watch, Pebble, Samsung and Sony <br> ANY DVD PLAYER <br> ANY GAMES CONSOLE <br> None of these |
| Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total <br> Total |
| Handhelds: portable games player (e.g. Nintendo DS, Sony PSP) <br> A smart watch - a wearable computer that may be compatible with a smartphone. Brands include Apple Watch, Pebble, Samsung and Sony <br> ANY DVD PLAYER <br> ANY GAMES CONSOLE <br> None of these |
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>Male</td>
<td>Female</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td><u>UNDER</u></td>
<td>E11.5K</td>
<td>E17.5K</td>
<td>E29.9K</td>
<td>E30K+</td>
<td><u>AB</u></td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td><u>ENG LAND</u></td>
<td><u>SCOT LAND</u></td>
<td><u>WALES</u></td>
<td><u>NI</u></td>
</tr>
<tr>
<td>e</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
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All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q82. SHOWCARD And do you personally use...? (MULTI CODE)
Table 17
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Prepared by Saville Rossiter Base: DITM
Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r
</table>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 17
Q82. SHOWCARD And do you personally use...? (MULTI CODE)
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>1947 519</td>
<td>604 1172</td>
<td>1442 559</td>
<td>401 451</td>
<td>615 797</td>
<td>1122 791</td>
<td>1022 2339</td>
<td>502 489</td>
<td>507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1167</td>
<td>1308 343</td>
<td>401 807</td>
<td>971 377</td>
<td>268 325</td>
<td>461 578</td>
<td>755 534</td>
<td>660 1916</td>
<td>310 301</td>
<td>378</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364</td>
<td>469 915</td>
<td>927 317</td>
<td>280 358</td>
<td>583 712</td>
<td>720 580</td>
<td>661 2236</td>
<td>233 132</td>
<td>74</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>DON'T KNOW<br>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><th>%<sup>*</sup></th><tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
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<thead style="background-color: #f0f0f0;">
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<thead style="background-color: #f0f0f0;">
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<thead style="background-color: #f0f0f0;">
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<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q82. SHOWCARD And do you personally use...? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861</td>
<td>1863</td>
<td>1792</td><td>1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>2082</td>
<td>456</td>
<td>1294</td>
<td>1256</td><td>1218</td><td>1321</td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>358</td>
<td>359</td>
<td>227</td>
<td>199</td>
<td>247</td>
<td>245</td>
<td>226</td>
<td>114</td>
<td>302</td>
<td>2315</td><td>360<br/>87%</br/>15%</br/>58%</br/>42%</br/>54%</br/>48%</br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/>
<tfoot><tr><th colspan="14"></th></tr></tfoot></tbody><tfoot><tr><th colspan="14"></th></tr></tfoot></table>
A standard DVD player
<table border="1">
<thead><tr><th></th><th>Total (n)</th><th>LONDON (%)<sup>a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 17
QB2. SHOWCARD And do you personally use...? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861 1792 1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082</td>
<td>456 1294 1256 1218 1321</td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>338</td>
<td>359</td>
<td>327</td>
<td>189</td>
<td>237</td>
<td>245</td>
<td>226</td>
<td>114</td>
<td>302</td>
<td>3315 360 1552 1114 1443 48%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></TD><TD rowspan="6" style="border-bottom: 1px solid black;">A smartwatch: a wearable computer that may be compatible with a smartphone.</TD><TD rowspan="6" style="border-bottom: 1px solid black;">Brands include Apple Watch, Pebble,</TD><TD rowspan="6" style="border-bottom: 1px solid black;">Samsung and Sony.</TD><TD rowspan="6" style="border-bottom: 1px solid black;">83<br/>3%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>9%<br/>9%<br/>9%<br/>9%<br/>9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">8%<br/>8%<br/>8%<br/>8%<br/>8%<br/>8%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</TD><TD rowspan="6" style="border-bottom: 1px solid black;">9%</_TD></tr>
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<table cellspacing='0' border='0'>
<tbody id='table_0'>
<tr id='row_0'>
<th id='col_0'>Total<br>(n=)</th> <th id='col_0'>LONDON<br>(n=)</th> <th id='col_0'>SOUTH EAST<br>(n=)</th> <th id='col_0'>SOUTH WEST<br>(n=)</th> <th id='col_0'>WEST MIDLANDS<br>(n=)</th> <th id='col_0'>EAST OF ENGLAND<br>(n=)</th> <th id='col_0'>YORKSHIRE AND HUMBER<br>(n=)</th> <th id='col_0'>NORTH EAST<br>(n=)</th> <th id='col_0'>NORTH WEST<br>(n=)</th> <th id='col_0'>URBAN<br>(n=)</th> <th id='col_0'>RURAL<br>(n=)</th> <th id='col_0'>YES<br>(n=)</th> <th id='col_0'>NO<br>(n=)</th> <th id='col_0'>LOW<br>(n=)</th> <th id='col_0'>MEDIUM<br>(n=)</th> <th id='col_0'>HIGH<br>(n=)</th>
</tr>
<tr class='header_bottom_margin'>
<th colspan='4' align='left'><strong>Total<br>(n=)</strong></th> <th colspan='4' align='left'><strong>LONDON<br>(n=)</strong></th> <th colspan='4' align='left'><strong>SOUTH EAST<br>(n=)</strong></th> <th colspan='4' align='left'><strong>SOUTH WEST<br>(n=)</strong></th> <th colspan='4' align='left'><strong>WEST MIDLANDS<br>(n=)</strong></th> <th colspan='4' align='left'><strong>EAST OF ENGLAND<br>(n=)</strong></th> <th colspan='4' align='left'><strong>YORKSHIRE AND HUMBER<br>(n=)</strong></th> <th colspan='4' align='left'><strong>NORTH EAST<br>(n=)</strong></th> <th colspan='4' align='left'><strong>NORTH WEST<br>(n=)</strong></th>
</tr>
<tr class='header_bottom_margin'>
<th colspan='4' align='left'><strong>Total<br>(n=)</strong></th> <th colspan='4' align='left'><strong>LONDON<br>(n=)</strong></th> <th colspan='4' align='left'><strong>SOUTH EAST<br>(n=)</strong></th> <th colspan='4' align='left'><strong>SOUTH WEST<br>(n=)</strong></th> <th colspan='4' align='left'><strong>WEST MIDLANDS<br>(n=)</strong></th> <th colspan='4' align='left'><strong>EAST OF ENGLAND<br>(n=)</strong></th> <th colspan='4' align='left'><strong>YORKSHIRE AND HUMBER<br>(n=)</strong></th> <th colspan='4' align='left'><strong>NORTH EAST<br>(n=)</strong></th> <th colspan='4' align='left'><strong>NORTH WEST<br>(n=)</strong></th>
</tr>&nb...
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
Table 17
Q82. SHOWCARD And do you personally use...? (MULTI CODE)
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861</td>
<td>1863</td>
<td>1792</td><td>1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>231</td>
<td>2082</td>
<td>456</td>
<td>1294</td>
<td>1256</td><td>1218</td><td>1321</td><td></td></tr>
<tr>
<td>Total<br>Total<br>ANY GAMES CONSOLE<br>No one of these<br>Don't know<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
<table border="1">
<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
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<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table border="1">
<thead><tr><th></table>
<table border="1">
<thead><tr><table border="0"><tbody><tr><td style="text-align:center;">Total<br>Total<br>< 5%><table border="0"><tbody><tr><td style="text-align:center;">Significance Level: 95%</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><td style="text-align:center;">Total<br>Total<br>< 5%><table border="0"><tbody><tr><td style="text-align:center;">Significance Level: 95%</table>
<table border="0">
<thead><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr style=""><style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size: 8px; } </style>.style_1 { font-size: 8px; } .style_1 { font-size:
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 18**
**QB3 (QB4). SHOWCARD Which games consoles do you or does anyone in your household have at the moment? (MULTI CODE)**
Base : Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>LAND</th>
<th>SCOTLAND</th>
<th>WALES</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £17.5K £29.9K E30K+</td>
<td>E17.5K E29.9K</td>
<td>A8 C1 C2 DE</td>
<td>C1 C2 DE</td>
<td>C1 C2 DE</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581 755</td>
<td>826 355 374 680 172 190 153 106 151 264 240 332 254 274</td>
<td>309 345 326 479 368 407</td>
<td>966 207 203 206</td>
<td>813 130</td>
<td>124 158</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1080 517</td>
<td>574 235 262 472 124</td>
<td>332 293 324 289 268</td>
<td>979 104</td>
<td>60 33</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1176 554</td>
<td>622 246 290 520</td>
<td>119 111 105 169</td>
<td>339 308 287</td>
<td>886 197</td>
<td>886 197</td>
<td></td>
</tr>
<tr>
<td>Nintendo Wii Wi U</td>
<td>362 147</td>
<td>214 68</td>
<td>79 167</td>
<td>47 31</td><td>57<br>121<br>78<br>68<br>30<br>19<br>8<br>59<br>7<br>4<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\ndd<ol type="i"><li>Nintendo DSi DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi Lite DSi lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite ds lite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite dslite d slte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s lte s l te e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee
dd<ol type="ii"><li>Nintendo DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI DSI D SI S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S I S i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i
dd<ol type="iii"><li>Nintendo Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Nintend Ninted nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd nnd
dd<ol type="iv"><li>Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo Nintendo NintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNintendoNin t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t
dd<ol type="v"><li>Nintendo NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDS NDSDSND SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD
dd<ol type="vi"><li>Nintendo NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDS NSDSNSD SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN SN
dd<ol type="vii"><li>Nintendo NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NES NESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNESNES
dd<ol type="viii"><li>Nintendo NESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE
dd<ol type="ix"><li>Nintendo NESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES ESES
dd<ol type="x"><li>Nintendo NESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNESSNEESS NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES NEES
dd<ol type="xi"><li>Nintendo Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Ness Nes ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness ness neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess neess
dd<ol type="xii"><li>Nintendo Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees Nees NeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNeeesNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneensNneseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseasee se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se se
dd<ol type="xiii"><li>Nintendo Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes Nesnes
dd<ol type="xiv"><li>Nintendo Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest Nest
dd<ol type="xv"><li>Nintendo Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net Net NetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNetNet
dd<ol type="xvi"><li>Nintendo Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets Nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets nets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnets netnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnetssnet ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssnt ssns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns ns
dd<ol type="xvii"><li>Nintendo Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos Nos NosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNosNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNo No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No
dd<ol type="xviii"><li>Nintendo Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not Not NotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNotNonotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotno not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not not no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no no nononononononononononononononononononononononononononononnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonnonno non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non non on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on on
dd<ol type="xix"><li>Nintendo Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos Nonos NonosNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNonoNononoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoonoONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONNO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NONO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONON ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO ONONO OONOINOINO INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOI INOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINOiINoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiInoiIn oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oi In oioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioio io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.io.i o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo
dd<ol type="xx"><li>Nintendo Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons Ons OnsOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOnOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOhOH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHOHHOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHOOHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH HH H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H H
dd<ol type="xxii"><li>Nintendo Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os Os OsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOsOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOSOS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OS OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI OSI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI ISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISI ISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISSISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS ISS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS
dd<ol type="xxiii"><li>Nintendo Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts Otts OttsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtotsOtot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ot ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ott ottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottottotttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt ttkk k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kgggggggggggggggggggggggggggggggggggggggggggggg g gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g ghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghghg h gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh gh hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihih hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi iiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ieieieieieieieieieieieieieieieieieieieieieieieieie
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 18**
**QB3 (QB4). SHOWCARD Which games consoles do you or does anyone in your household have at the moment? (MULTI CODE)**
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581 755</td>
<td>826 355 374 680 172 190 153 209 345 326 478 369 407</td>
<td>967 207 203 206</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1080 517</td>
<td>574 235 262 472 124 131 106 151 264 240 332 254 274</td>
<td>835 130</td>
<td>124 158</td>
</tr>
<tr>
<td>Total</td>
<td>1176 554</td>
<td>622 246 290 520 119 111 105 169 329 293 324 289 268</td>
<td>979</td>
<td>104</td>
<td>60</td>
<td>33</td>
</tr>
<tr>
<td>Xbox</td>
<td>78 7%<br>7%<br>7%</td>
<td>42<br>14<br>13<br>43<br>9<br>6<br>13<br>9<br>18<br>19<br>19<br>25<br>16<br>9<br>3</td>
<td>8%<br>6%<br>12%<br>5%<br>6%<br>8%<br>6%<br>9%<br>6%</td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndd\ndddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds ds d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee ooo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo ooo oooo
Columns Tested: a.b.-c.e.f.-g.h.i.j-k.l.m.n-o.p.q.r
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QB3 (QB4). SHOWCARD Which games consoles do you or does anyone in your household have at the moment? (MULTI CODE)**
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST OF ENG</th>
<th>YORSA HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>URBAN RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>-a-</td>
<td>-b-</td>
<td>c-</td>
<td>d-</td>
<td>e-</td>
<td>f-</td>
<td>g-</td>
<td>h-</td>
<td>i-</td>
<td>j-</td>
<td>k-</td>
<td>l-</td>
<td>m-</td>
<td>n-</td>
<td>o-</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85</td>
<td>99</td>
<td>112</td>
<td>115</td>
<td>117</td>
<td>110</td>
<td>101</td>
<td>113</td>
<td>114</td>
<td>1171</td>
<td>410</td>
<td>1020</td>
<td>554</td>
<td>741</td><td>840</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1990</td>
<td>75</td>
<td>94</td>
<td>108</td>
<td>107</td>
<td>109</td>
<td>105</td>
<td>94</td>
<td>105</td>
<td>105</td>
<td>918</td>
<td>183</td>
<td>726</td>
<td>376</td><td>518</td><td>593</td>
</tr>
<tr>
<td>Total</td>
<td>1176</td>
<td>110<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*<br>*</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><tr><th>Nintendo Wii Wii U<br>(3%)</th><th>362<br>(3%)</th><th>--a--b--c--d--e--f--g--h--i--j--k--l--m--n--o--p--q--r--s--t--u--v--w--x--y--z--aa--ab--ac--ad--ae--af--ag--ah--ai--aj--ak--al--am--an--ao--ap--aq--ar--as--at--au--av--aw--ax--ay--az<br>--ba<br>--bb<br>--bc<br>--bd<br>--be<br>--bf<br>--bg<br>--bh<br>--bi<br>--bj<br>--bk<br>--bl<br>--bm<br>--bn<br>--bo<br>--bp<br>--bq<br>--br<br>--bs<br>--bt<br>--bu<br>--bv<br>--bw<br>--bx<br>--by<br>--bz<br>--ca<br>--cb<br>--cc<br>--cd<br>--ce<br>--cf<br>--cg<br>--ch<br>--ci<br>--cj<br>--ck<br>--cl<br>--cm<br>--cn<br>--co<br>--cp<br>--cq<br>--cr<br>--cs<br>--ct<br>--cu<br>--cv<br>--cw<br>--cx<br>--cy<br>--cz<br>-ca-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed-ea-eb-ec-ed.ee-fg-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hh-hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh<highlight>Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)Xbox 360 (2%)</highlight>XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBox One XBoard
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QB3 (QB4). SHOWCARD Which games consoles do you or does anyone in your household have at the moment? (MULTI CODE)**
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>URBAN RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td>c d</td>
<td>i h</td>
<td>j k</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85</td>
<td>99</td>
<td>112</td>
<td>115</td>
<td>117</td>
<td>110</td>
<td>101</td>
<td>113</td>
<td>114</td>
<td>1171</td>
<td>410 1020</td>
<td>554 741</td>
<td>840</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1990</td>
<td>75</td>
<td>94</td>
<td>108</td>
<td>107</td>
<td>109</td>
<td>105</td>
<td>94</td>
<td>105</td>
<td>918</td>
<td>183 726</td>
<td>376 518</td>
<td>593</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1176</td>
<td>110<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>149<br> </td>
<td>108<br> <span style="color: red;">9%</span> </td>
<td>89<br> <span style="color: red;">9%</span> </td>
<td>115<br> <span style="color: red;">9%</span> </td>
<td>117<br> <span style="color: red;">9%</span> </td>
<td>87<br> <span style="color: red;">9%</span> </td>
<td>54<br> <span style="color: red;">9%</span> </td>
<td>140<br> <span style="color: red;">9%</span> </td>
<td>1024<br>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span>< span style="color: red;">9%</span></td>
<td>87%></td>
<td>13%></td>
<td>72%></td>
<td>28%></td>
<td>63%></td>
<td>545%></td></tr>
<tr>
<table>
<tr>
<th rowspan='2'>PlayStation 2</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 23)</th>
<th rowspan='2'>Total (n= 6)
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 18
QB3 (QB4). SHOWCARD Which games consoles do you or does anyone in your household have at the moment? [MULTI CODE]
Base : Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>-a</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85</td>
<td>99</td>
<td>112</td>
<td>115</td>
<td>117</td>
<td>110</td>
<td>101</td>
<td>113</td>
<td>114</td>
<td>1171</td>
<td>410</td>
<td>1020</td>
<td>554</td>
<td>741</td>
<td>840</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1990</td>
<td>75</td>
<td>94</td>
<td>108</td>
<td>107</td>
<td>109</td>
<td>105</td>
<td>94</td>
<td>105</td>
<td>105</td>
<td>918</td>
<td>183</td>
<td>726</td>
<td>376</td>
<td>518</td>
<td>593</td>
</tr>
<tr>
<td>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>1176<br> </td>
<td>110<br> <sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sup>><sup>*</sup><<sup>*</sub></td>
<td>149<br> **<*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*>*</td>
<td>108<br>*<sub>a<</sub>*<sub>b<</sub>*<sub>c<</sub>*<sub>d<</sub>*<sub>e<</sub>*<sub>f<</sub>*<sub>g<</sub>*<sub>h<</sub>*<sub>i<</sub>*<sub>j<</sub>*<sub>k<</sub>*<sub>m<</sub>*<sub>n<</sub>*<sub>p<</sub>*<sub>r<</sub>*<sub>s<</sub>*<sub>t<</sub>*<sub>w<</sub>*<sub>x<</sub>*<sub>y<</sub>*<sub>Z<</sub>*<sub>a></sub>*<sub>b></sub>*<sub>c></sub>*<sub>d></sub>*<sub>e></sub>*<sub>f></sub>*<sub>g></sub>*<sub>h></sub>*<sub>i></sub>*<sub>j></sub>*<sub>k></sub>*<sub>m></sub>*<sub>n></sub>*<sub>p></sub>*<sub>r></sub>*<sub>s></sub>*<sub>t></sub>*<sub>w></sub>*<sub>x></sub>*<sub>y></sub>*<sub>Z></sub></td>
<td>89<br>%<a<b<c<d<>e<<f f="">f<h h="">h<i i="">i<j j="">j<k k="">k<l l="">l<m m="">m<n n="">n<p p="">p<r r="">r<s s="">s<t t="">t<w w="">w<x x="">x<y y="">y z="">z<a a="">a<b b="">b<c c="">c<d d="">d>e e="">e>f f="">f<h h="">h<i i="">i<j j="">j<k k="">k<l l="">l<m m="">m<n n="">n<p p="">p<r r="">r<s s="">s<t t="">t<w w="">w<x x="">x<y y="">y z="">z<a a="">a<b b="">b<c c="">c<d d="">d>e e="">e>f f="">f<h h="">h<i i="">i<j j="">j<k k="">k<l l="">l<m m="">m<n n="">n<p p="">p<r r="">r<s s="">s<t t="">t<w w="">w<x x="">x<y y="">y z="">z<a a=""><table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th></th>
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th></th></tr>
<tr style="text-align:center;">
<th>Dont know<br/><hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/>
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
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<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan="2"></table cellspacing="0" cellpadding="0">
<table cellspacing="0" cellpadding="0">
<tr style="text-align:center;">
<th colspan=""></table cellspacing="" cellpadding="">
<table cellspacing="" cellpadding="">
<tr style="">
<table cellspacing="" cellpadding="">
<tbody id='__annotation__rowinterval_3'>
<tr id='__annotation__row_3' class='annotation_row'>
<td id='__annotation__cell_3_0' class='annotation_column annotation_column_3'>Total<br/><table cellspacing="" cellpadding="">
<tbody id='__annotation__rowinterval_4'>
<tr id='__annotation__row_4' class='annotation_row'>
<td id='__annotation__cell_4_0' class='annotation_column annotation_column_4'></table cellspacing="" cellpadding="">
</tbody id='__annotation__rowinterval_4'>
</table cellspacing="" cellpadding="">
<table cellspacing="" cellpadding="">
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 19
QB4 (Q85). SHOWCARD WHICH, IF ANY, OF THESE DO YOU USE YOUR GAMES CONSOLE FOR? (MULTI CODE)
Base : Those who have access to a games console at home
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>E17.9K C2 D E</td>
<td>AB C1 C2 C3 D E</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581 755</td>
<td>355 374 680 172</td>
<td>190 153 209 345</td>
<td>326 479 369 407</td>
<td>966 207 203 206</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1080 517</td>
<td>574 235 262 472</td>
<td>131 106 151 264</td>
<td>240 332 254 274</td>
<td>835 130 124 158</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1176 554</td>
<td>622 246 290 520</td>
<td>111 105 169 329</td>
<td>293 324 289 268</td>
<td>979 104 60 33</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>47% 53%</td>
<td>21% 25% 44% 10%</td>
<td>9% 9% 14% 28%</td>
<td>25% 28% 25% 23%</td>
<td>83% 9% 5% 3%</td>
</tr>
<tr>
<td>Online gaming</td>
<td>421 252</td>
<td>169 137</td>
<td>103 163</td>
<td>18</td>
<td>41</td>
<td>55</td>
<td>89</td><td>117</td><td>109</td><td>106</td><td>340</td><td>43</td><td>23</td><td>15</td></tr>
<tr>
<td></td>
<td></td>
<td>36% 48%</td>
<td>27% 36%</td>
<td>38% 31%</td>
<td>15%</td><td>37%</td><td>27%</td><td>33%</td><td>35%</td><td>30%</td><td>38%</td><td>38%</td><td>40%</td><td>39%</td><td>42%</td><td>38%</td><td>45%</td></tr>
<tr>
<td></td>
<td></td>
<td></td><td>dof f e f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f </table>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="text-align: center;">
<th>DVDs & Blu-ray DVDs watched per month (e.g. DVD Player, TV Hub, Aaa, Demand or Sky Go)</th>
<th>Browsing the web / internet (e.g. PC, Tablet, Smartphone)</th>
<th>Colums Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r</th>
<th>Total number of households (n) = <strong>{Total}</strong></th>
<th>Total number of people (N) = <strong>{N}</strong></th>
<th>Total number of people aged over <strong>{Age Group}</strong></th>
<th>Total number of people aged under <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <strong>{Age Group}</strong></th><br/>
<th>Total number of people aged between <<strong>{"{GENDER}"}}</h
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 19
QB4 (QB5). SHOWCARD Which, if any, of these do you use your games console for? (MULTI CODE)
Base : Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 16-24</td>
<td>E11.5K- E17.5K</td>
<td>E17.5K- E29.5K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>e</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>i</td>
<td>m</td>
<td>n</td>
<td>p</td>
<td>q</td>
<td>r</td>
<td>s</td>
<td>t</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>755</td>
<td>826</td>
<td>355</td>
<td>374</td>
<td>680</td>
<td>172</td>
<td>190</td>
<td>153</td>
<td>209</td>
<td>345</td>
<td>326</td>
<td>478</td>
<td>369</td>
<td>407</td>
<td>966</td>
<td>207</td>
<td>203</td>
<td>206</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1080</td>
<td>517</td>
<td>574</td>
<td>235</td>
<td>262</td>
<td>472</td>
<td>124</td>
<td>131</td>
<td>106</td>
<td>151</td>
<td>284</td>
<td>240</td>
<td>332</td>
<td>254</td>
<td>274</td>
<td>835</td>
<td>130</td>
<td>124</td><td>158</td>
</tr>
<tr>
<td>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Watching purchased TV programmes on a device such as a smart phone, tablet, laptop, computer, DVD player, Blu-ray player, game console, or via a standalone service (e.g. PlayStation Movies, Blinkbox) or via a standalone service (e.g. LawFilm Instant)</table>
<table cellspacing="0">
<tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table cellspacing="0">
<tr><th></th><th></th><th></th><th></th><th></h
<th>e
<th>b
<th>c
<th>d
<th>e
<th>f
<th>i
<th>j
<th>k
<th>m
<th>n
<th>p
<th>r
<th>s
<th>t
<th>v
<th>w
<th>x
<th>y
<th>Z
<th>A
<th>B
<th>C
<th>D
<th>E
<th>F
<th>G
<th>H
<th>I
<th>J
<th>K
<th>L
<th>M
<th>N
<th>O
<th>P
<th>Q
<th>R
<th>S
<th>T
<th>V
<th>X
<th>Z
<table cellspacing="0">
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 19
QB4 (QB5). SHOWCARD WHICH, IF ANY, OF THESE DO YOU USE YOUR GAMES CONSOLE FOR? (MULTI CODE)
Columns Tested: a-b c-t.e.f.-g.h.i-j-k.l.m-n-o.p.q-r
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>55+ UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>C1 C2 DE</td>
<td>C1 m C2 DE</td>
<td>Ni</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581 755</td>
<td>826 355 374 680</td>
<td>172 190 153 209</td>
<td>345 326 478 369</td>
<td>407 606 207 203</td>
<td>130 124 158</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1080 517</td>
<td>574 235 262 472</td>
<td>124 131 106 151</td>
<td>264 240 332 254</td>
<td>835 835 835 835</td>
<td>835 835 835 835</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1176 554</td>
<td>622 246 290 520</td>
<td>119 111 9% 9%</td>
<td>169 329 289 268</td>
<td>979 979 979 979</td>
<td>104 60 33</td>
<td></td>
</tr>
<tr>
<td></td><td></td><td>47%<br>53%</td><td>21%<br>25%</td><td>44%<br>10%</td><td>9%<br>14%</td><td>28%<br>25%</td><td>83%<br>9%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nttting other free professional TV programmes/ content via your internet connection e.g. Vimeo, South Park Studios), channels such as Channel 4, Jamie Oliver's Foodtube or on other sites e.g. Vimeo, South Park Studios).</tr>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Other</th>
<th rowspan="2">6%<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<th colspan="8">WATCHING VIDEO CONTENT<br>(e.g. YouTube)</th>
<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f0;">
<th rowspan="3" style="text-align:center;">Total<<tr style="background-color: #f0f0f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 19
QB4 (Q85). SHOWCARD WHICH, if any, of these do you use your games console for? (MULTI.CODE)
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581 755</td>
<td>826 355 374 680</td>
<td>172 190 153 209</td>
<td>345 326 478 369</td>
<td>407 366 207 203</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1080 517</td>
<td>574 235 262 472</td>
<td>124 131 106 151</td>
<td>284 240 332 254</td>
<td>274 835 130 124</td>
</tr>
<tr>
<td>Total</td>
<td>1176 554</td>
<td>622 246 290 520</td>
<td>119 111 105 169</td>
<td>329 293 324 289</td>
<td>268 979 104 60</td>
</tr>
<tr>
<td>IPTV</td>
<td>351 183</td>
<td>168 113 99 125</td>
<td>13 33 28</td>
<td>56 105</td>
<td>86 101</td>
<td>83 80</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>None of these</td><td>501 200</td><td>301 84 112 250</td><td>78 48 53</td><td>72 127</td><td>139 124</td><td>113</td>
</tr>
<tr>
<td></td><td>43% 38%</td><td>48% 26% 39% 63%</td><td>43% 51% </TD colspan="3">42%</TD colspan="3">43%</TD colspan="3">43%</TD colspan="3">40%</TD colspan="3">36%</TD colspan="3">%
</tr>
<tr>
<td>Don't know</td><td>39 12</TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="3">n </TD colspan="
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 19
QB4 (QB5). SHOWCARD Which, if any, of these do you use your games console for? (MULTI CODE)
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE</th>
<th>NORTHWEST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85<br>99<br>112<br>115<br>117<br>110<br>101<br>113<br>114<br>1171<br>410<br>1020<br>554<br>741<br>840</td>
<td>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>- </td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><table cellspacing="0" cellpadding="0"><tbody><tr><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><tr class="header_bottom_margin"><th style="text-align:left;">Total</th><th style="text-align:left;">LONDON</th><th style="text-align:left;">SOUTH EAST</th><th style="text-align:left;">SOUTH WEST</th><th style="text-align:left;">EAST MID</th><th style="text-align:left;">EAST OF ENG</th><th style="text-align:left;">YORKSHIRE HUMBER</th><th style="text-align:left;">NORTHWEST</th><th style="text-align:left;">NORTH WEST</th><th style="text-align:left;">URBAN</th><th style="text-align:left;">RURAL</th><th style="text-align:left;">YES</th><th style="text-align:left;">NO</th><th style="text-align:left;">LOW</th><th style="text-align:left;">MEDIUM</th><th style="text-align:left;">HIGH</th></tr></tbody></table>><table cellspacing="0" cellpadding="0"><tbody><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""><table cellspacing="" cellpadding=""><<tr class=""></
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</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
</style>}
<tfoot border=none rowspan=3 colspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=3 rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowspan=rowsp
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 19
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QB4 (QB5). SHOWCARD Which, if any, of these do you use your games console for? (MULTI CODE)
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>n<br>o</td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85<br>-b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>o</td>
<td>99<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>o</td>
<td>112<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>o</td>
<td>115<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>o</td>
<td>117<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<jupyter><code style="color:red;">j</code><br>k<lbr>m<nbr>p<nbr>r<nbr>s<nbr>t<nbr>u<nbr>v<nbr>w<nbr>x<nbr>y<nbr>z<b><code style="color:red;">!</code><br>a<b><code style="color:red;">!</code><br>b<b><code style="color:red;">!</code><br>c<b><code style="color:red;">!</code><br>d<b><code style="color:red;">!</code><br>e<b><code style="color:red;">!</code><br>f<b><code style="color:red;">!</code><br>g<b><code style="color:red;">!</code><br>h<b><code style="color:red;">!</code><br>i<b><code style="color:red;">!</code><br>j<b><code style="color:red;">!</code><br>k<b><code style="color:red;">!</code><br>l<b><code style="color:red;">!</code><br>m<b><code style="color:red;">!</code><br>n<b><code style="color:red;">!</code><br>p<b><code style="color:red;">!</code><br>r<b><code style="color:red;">!</code><br>s<b><code style="color:red;">!</code><br>t<b><code style="color:red;">!</code><br>u<b><code style="color:red;">!</code><br>v<b><code style="color:red;">!</code><br>w<b><code style="color:red;">!</code><br>x<b><code style="color:red;">!</code><br>y<b><code style="color:red;">!</code><br>z<b><code style="color:red;">!</code></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b></b>
Effective Weighted Sample
Total
1990
75
94
108
107
109
105
94
105
105
918
183
726
376
518
593
Total
1176
**<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</ sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup*>* < sup *> * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
Watching purchased TV programmes:
Time-shifted downloads, either via pay per view services (e.g. PlayStation Movies,
Blu-ray) or via a standalone subscription service (e.g. LiveFlix Instant Netflix)
163
**<sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </sub> <sub> </subtitle>
Blu-ray or Netflix instant streaming
14%
**                                                                dh h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">h<h sub="">< b="" c="" d="" e="" f="" g="" i="" j="" k="" l="" m="" n="" o="">
Watching short video clips online (e.g. YouTube or Dailymotion)
153
** *&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;*&nsbp;
**&enspb;
**&enbsp;
**&enbsp;
**&enbsp;
**&enbsp;
**&enbsp;
**&enbsp;
**&enbsp;
**&enbsp;
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**&enbsp;
Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 19**
**QB4 (QB5). SHOWCARD Which, if any, of these do you use your games console for? (MULTI CODE)**
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>n o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85</td>
<td>99</td>
<td>112</td>
<td>115</td>
<td>117</td>
<td>110</td>
<td>101</td>
<td>113</td>
<td>114</td>
<td>1171</td>
<td>410 554 741 840</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1990</td>
<td>75</td>
<td>94</td>
<td>108</td>
<td>107</td>
<td>109</td>
<td>105</td>
<td>94</td>
<td>105</td>
<td>105</td>
<td>918 726 376 518 593</td>
</tr>
<tr>
<td>Total</td>
<td>1176</td>
<td>110 ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th rowspan="2">Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park)</th>
<th colspan="3" style="text-align:center;">LONDON</th>
<th colspan="3" style="text-align:center;">SOUTH EAST</th>
<th colspan="3" style="text-align:center;">SOUTH WEST</th>
<th colspan="3" style="text-align:center;">EAST MIDLANDS</th>
<th colspan="3" style="text-align:center;">EAST OF ENGLAND</th>
<th colspan="3" style="text-align:center;">YORKSHIRE AND THE HUMBER</th>
<th colspan="3" style="text-align:center;">NORTH EAST</th>
<th colspan="3" style="text-align:center;">NORTHWEST</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style="text-align:center;">URBANITY (Yes No)</th>
<th colspan="3" style="text-align:center;">DEPRIVATION LEVEL (Low High)</th>
<th colspan="3" style=""><strong rowspan='2'>Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </strong></strong></table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>Other Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </td> <strong rowspan='2'>Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </strong> </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan='2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border='1'>
<tr align='center' valign='top'>
<td rowspan '2'>WATCHING VIDEO CONTENT Type of TV Programme/Content (e.g. Channel4, Jamie Oliver's Food Tube or on the internet e.g. Vimeo, South Park) </table>
<table border 'rowspan=2'><tbody></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr></tbody></table>&<tbody></tbody></tr>/tfoot/><tfoot/></tfoot/></thead/></body/></html>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 19
QB4 (QB5). SHOWCARD Which, if any, of these do you use your games console for? (MULTI CODE)
Base: Those who have access to a games console at home
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>-a</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1581</td>
<td>85<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>99<br>112<br>115<br>117<br>110<br>101<br>113<br>114<br>1171<br>410<br>1020<br>554<br>741<br>840<br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1990</td>
<td>75<br>94<br>108<br>107<br>109<br>105<br>94<br>105<br>105<br>918<br>183<br>726<br>376<br>518<br>593<br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1176</td>
<td>110<br>-<a href="#">-a</a> <a href="#">-b</a> </a> <a href="#">-c</a> <a href="#">-d</a> <a href="#">-e</a> <a href="#">-f</a> <a href="#">-g</a> <a href="#">-h</a> <a href="#">-i</a> <a href="#">-j</a> <a href="#">-k</a> <a href="#">-l</a> <a href="#">-m</a> <a href="#">-n</a> </td>
<td>149<br>108<br>89<br>115<br>117<br>97<br>54<br>140<br>1024<br>152<br>87%<span style="color: #ff0000;">(2%)>8%</span><8%<8%<8%<8%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<tr style="border-top: 2px solid black;">
<td>IPTV</td>•
<td rowspan="2">351<br rowspan="2">32%</table>
<tr style="border-top: 2px solid black;">
<td rowspan="2"></table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px solid black;">
<table>
<tr style="border-top: 2px
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 20
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q85 (Q86) Does your household's e-reader (digital book reader) have built-in 3G or 4G access to a mobile network? This means that books can be purchased online and downloaded from anywhere with a signal, without the need for a Wi-Fi connection?
Base : Those who personally use an e-reader/digital book reader
<table>
<thead>
<tr>
<th>GENDER</th>
<th colspan="7">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER £11.5K</th>
<th>£11.5K - £17.5K</th>
<th>£17.5K - £23.5K</th>
<th>£23.5K+ £30K+</th>
<th>AB k i m</th>
<th>C1 c DE ¬n</th>
<th>BNG LAND o</th>
<th>SCOT LAND q</th>
<th>WALES nI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b</td>
<td>c d e f g h j k l m n p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>668</td>
<td>249</td>
<td>419</td>
<td>89</td>
<td>104</td>
<td>259</td>
<td>238</td>
<td>49</td>
<td>49</td>
<td>88</td>
<td>188</td>
<td>211</td>
<td>239</td>
<td>125</td>
<td>92</td>
<td>416</td>
<td>81</td>
<td>100</td><td>71</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>466</td>
<td>179</td>
<td>288</td>
<td>45</td>
<td>71</td>
<td>183</td>
<td>169</td>
<td>33</td>
<td>34</td>
<td>63</td>
<td>144</td>
<td>155</td>
<td>162</td>
<td>91</td>
<td>62</td>
<td>364</td>
<td>48</td>
<td>64</td><td>52</td>
</tr>
<tr>
<td>Total<br>Total<br>No<br>No<br>Don't know<br>Don't know<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<page_number>Tested: a.b.c.d.e.f.g.h.i.j.k.l.m.n-o.p.q.r.</page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></page_number>></table>
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 20
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 110 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QBS (Q8) Does your household's e-reader (digital book reader) have built-in 3G or 4G access to a mobile network? This means that books can be purchased online and downloaded from anywhere with a signal, without the need for a Wi-Fi connection?
Base : Those who personally use an e-reader/digital book reader
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>MEDIUM LOW</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>j</td>
<td>k</td>
<td>i</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>668</td>
<td>20</td>
<td>46</td>
<td>52</td>
<td>55</td>
<td>48</td>
<td>51</td>
<td>55</td>
<td>48</td>
<td>41</td>
<td>467</td>
<td>201</td>
<td>387</td>
<td>280</td>
<td>378</td>
<td>290</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>466</td>
<td>18</td>
<td>43</td>
<td>50</td>
<td>53</td>
<td>48</td>
<td>49</td>
<td>52</td>
<td>44</td>
<td>38</td>
<td>368</td>
<td>103</td>
<td>279</td>
<td>195</td>
<td>275</td><td>200</td>
</tr>
<tr>
<td>Total</td>
<td>495</td>
<td>28</td>
<td>69</td>
<td>48</td>
<td>43</td>
<td>50</td>
<td>54</td>
<td>55</td>
<td>23</td>
<td>51</td>
<td>407</td>
<td>88</td>
<td>325</td><td>169<br/>319<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/>176<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr><tr><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th><th rowspan="2">Yes No Don't know </th></tr><tr></tr>
<tr>
<tbody>
<tr>
<table>
<thead>
<tr>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<table>
<thead>
<tr>
<th colspan="3"></th>
<th colspan="3"></th>
<table>
<thead>
<tr>
<th colspan="3"></th>
</tr>
</thead>
<tbody>
<tr>
<table>
<thead>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
</tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></tbody></table></tr></thead>
</table>
</tbody>
</tr>
<tr style="background-color: #f0f0f0;">
<table style="width: 90%; margin-left: auto; margin-right: auto;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
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</thead>
</thead>
</thead>
</tr>
</thead>
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OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC1. Is there a landline phone in your home that can be used to make and receive calls? (SINGLE CODE) PROMPTED
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K</th>
<th>E17.5K</th>
<th>E17.5K</th>
<th>E29.5K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>x</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
<td>r</td>
<td>s</td>
<td>t<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
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<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Total</th> <!-- Total -->
<th>Unweighted total</th> <!-- Unweighted total -->
<th>Effective Weighted Sample</th> <!-- Effective Weighted Sample -->
<th>Total</th> <!-- Total -->
<th>Can use to make and receive calls<br>(%)</th> <!-- Can use to make and receive calls -->
<th>Can receive but not make calls/<br>incoming only<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Incoming only -->
<th>Line not working properly/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> needs to be repaired<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Line not working properly/needs to be repaired -->
<th>No, do not have landline phone<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- No, do not have landline phone -->
<th>Don't know<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Don't know -->
<th>Colums Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r-s-t-u-v-w-x-y-z<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Columns Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r.s.t.u.v.w.x.y.z -->
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Total (Total)</th> <!-- Total (Total) -->
<th>% (Unweighted total)</th> <!-- % (Unweighted total) -->
<th>% (Effective Weighted Sample)</th> <!-- % (Effective Weighted Sample) -->
<th>% (Total)</th> <!-- % (Total) -->
<th>% (Can use to make and receive calls)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Can use to make and receive calls -->
<th>% (Can receive but not make calls/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Incoming only -->
<th>% (Line not working properly/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> needs to be repaired<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Line not working properly/needs to be repaired -->
<th>% (No, do not have landline phone)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- No, do not have landline phone -->
<th>% (Don't know)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Don't know -->
<th>% (Colums Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r-s-t-u-v-w-x-y-z)<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Columns Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r.s.t.u.v.w.x.y.z -->
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Total (Total)</th> <!-- Total (Total) -->
<th>% (Unweighted total)</th> <!-- % (Unweighted total) -->
<th>% (Effective Weighted Sample)</th> <!-- % (Effective Weighted Sample) -->
<th>% (Total)</th> <!-- % (Total) -->
<th>% (Can use to make and receive calls)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Can use to make and receive calls -->
<th>% (Can receive but not make calls/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Incoming only -->
<th>% (Line not working properly/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> needs to be repaired<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Line not working properly/needs to be repaired -->
<th>% (No, do not have landline phone)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- No, do not have landline phone -->
<th>% (Don't know)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Don't know -->
<th>% (Colums Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r-s-t-u-v-w-x-y-z)<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Columns Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r.s.t.u.v.w.x.y.z -->
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Total (Total)</th> <!-- Total (Total) -->
<th>% (Unweighted total)</th> <!-- % (Unweighted total) -->
<th>% (Effective Weighted Sample)</th> <!-- % (Effective Weighted Sample) -->
<th>% (Total)</th> <!-- % (Total) -->
<th>% (Can use to make and receive calls)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Can use to make and receive calls -->
<th>% (Can receive but not make calls/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Incoming only -->
<th>% (Line not working properly/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> needs to be repaired<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Line not working properly/needs to be repaired -->
<th>% (No, do not have landline phone)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- No, do not have landline phone -->
<th>% (Don't know)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Don't know -->
<th>% (Colums Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r-s-t-u-v-w-x-y-z)<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Columns Tested: a-b-c.d.e.f-g.h.i-j-k.l.m-n.o.p.q.r.s.t.u.v.w.x.y.z -->
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Total (Total)</th> <!-- Total (Total) -->
<th>% (Unweighted total)</th> <!-- % (Unweighted total) -->
<th>% (Effective Weighted Sample)</th> <!-- % (Effective Weighted Sample) -->
<th>% (Total)</th> <!-- % (Total) -->
<th>% (Can use to make and receive calls)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Can use to make and receive calls -->
<th>% (Can receive but not make calls/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Incoming only -->
<th>% (Line not working properly/<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> needs to be repaired<br>(%)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Line not working properly/needs to be repaired -->
<th>% (No, do not have landline phone)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- No, do not have landline phone -->
<th>% (Don't know)<sup>a,b,c,d,e,f,g,h,i,j,k,m,n,o,p,q,r,s,t,u,v,w,x,y,z)</sup> <!-- Don't know -->
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<table border "
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC1. Is there a landline phone in your home that can be used to make and receive calls? (SINGLE CODE) PROMPTED
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E11.5K</th>
<th>E17.5K</th>
<th>E17.5K</th>
<th>E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
<td>r</td>
<td>s</td>
<td>t</td>
<td>v</td>
<td>w</td>
<td>x</td><td>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z<br>u<br>v<br>w<br>x<br>y<br>z
/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>
<td colspan="3" style="text-align:right;">Significance Level: 95%</table>
Effective Weighted Sample: 2504
HOUSEHOLD PHONE OWNERSHIP
FIXED ONLY: 115
HOUSEHOLD PHONE OWNERSHIP: 1052
HOUSEHOLD PHONE OWNERSHIP: 81%
HOUSEHOLD PHONE OWNERSHIP: 81%
FIXED & MOBILE: 2176
FIXED & MOBILE: 1123
FIXED & MOBILE: 82%
FIXED & MOBILE: 81%
MOBILE ONLY: 379
MOBILE ONLY: 191
MOBILE ONLY: 14%
MOBILE ONLY: 14%
ALL FIXED: 2291
ALL FIXED: 1108
ALL FIXED: 86%
ALL FIXED: 85%
ALL MOBILE: 2554
ALL MOBILE: 1314
ALL MOBILE: 95%
ALL MOBILE: 95%
NEITHER: 5
NEITHER: 4%
NEITHER: %%
MOBILE ONLY NO FIXED BROADBAND: 265
MOBILE ONLY NO FIXED BROADBAND: 131
MOBILE ONLY NO FIXED BROADBAND: 10%
MOBILE ONLY NO FIXED BROADBAND: 10%
Columns Tested : b.- c.t.e.f.- g.h.i.j- k.l.m.n- o.p.q.r
<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total</th>
<td style="text-align:center;">FEMALE</th>
<td style="text-align:center;">AGE GROUP</th>
<td style="text-align:center;">HOUSEHOLD INCOME</th>
<td style="text-align:center;">SOCIAL GROUP</th>
<td style="text-align:center;">NATION</th>
<td style="text-align:center;">Significance Level: 95%</th>
<td style="text-align:center;">Household Phone Ownership (%)<th style="text-align:center;"></table>
<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total</th>
<td style="text-align:center;">FEMALE</th>
<td style="text-align:center;">AGE GROUP<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v,w,x,y,z,u,v<w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x y z u v w x <table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t<u,v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z<u<v<w<x<y<z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_y_z_u_v_w_x_<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t<u,v<w<x<y<z<u<v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v<w<x>y<z<u=v=w_<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t<u,v=w_<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align:center;">Total<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t=u,<table border="1">
<thead>
<tr style="background-color:#f0f0f0;">
<td style="text-align=center;">Table 21
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC1. Is there a landline phone in your home that can be used to make and receive calls? (SINGLE CODE) PROMPTED
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 233 233 225 231 232 231 231 232 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231 231</td>
<td>89 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9 %8 %7 %9</td>
<td>250 251 237 250 251 237 233 233 250 251 237 250 251 237 233 250 251 237 250 251 237 250 251 237 250 251 237</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td>
<td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</td><td>466</TD></tr>
<tr>
<td>Effective Weighted Sample Total:</td>
<td>2504<br/>Total: <br/>Can use to make and receive calls: <br/>Can receive but not make calls/incoming only: <br/>Line not working properly/ needs to be repaired: <br/>No, do not have landline phone: <br/>Don't know:</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th><th style="text-align: right;">Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o p q r s t u v w x y z </th><th style="text-align: right;">Prepared by Saville Rossiter Base: <span style="color: blue;">01727 899 599 </span></th><th style="text-align: right;">Table <span style="color: blue;">Table_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
<span style="color: blue;">Table <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </span>_ <span style="color: blue;">Table </br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></br>-<br/></bru
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span="">-<
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC1. Is there a landline phone in your home that can be used to make and receive calls? (SINGLE CODE) PROMPTED
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST MIDS</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>URBAN RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>MEDIUM n o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2882</td>
<td>456</td>
<td>1294 1256</td>
<td>1218 1321</td>
<td></td>
</tr>
<tr>
<td>HOUSEHOLD PHONE OWNERSHIP FIXED ONLY</td>
<td>115 4%</td>
<td>15 4%</td>
<td>16 5%</td>
<td>9 4%</td>
<td>12 6%</td>
<td>11 5%</td>
<td>6 3%</td>
<td>8 4%</td>
<td>10 5%</td>
<td>10 5%</td>
<td>13 7%</td>
<td>3% 4%</td>
<td>3% 4%</td>
<td>9% 9%</td>
<td>59 66 5% 5%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="background-color: #f0f0f0;">
<th colspan="3">MOBILE ONLY<br/>FIXED & MOBILE<br/>MOBILE ONLY<br/>ALL FIXED<br/>ALL MOBILE<br/>NEITHER<br/>MOBILE ONLY NO FIXED BROADBAND<br/>Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o</th>
<th colspan="2">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL</th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<tr style="background-color: #f0f0f0;">
<th>Total LONDON SOUTH EAST SOUTH WEST EAST MID WEST MIDS EAST OF ENG YORKSHIRE HUMBER NORTH EAST NORTH WEST URBAN RURAL URBAN RURAL k l m n o h i g h d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC2 (QC2A). Do you ever use this landline phone at home yourself to make and/or receive calls, for internet access or both? (MULTI CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td>x m k</td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151 1483</td>
<td>365 442 1021 1323</td>
<td>382 330 396 581</td>
<td>751 700 680 745</td>
<td>185 415 411 440</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127 1006</td>
<td>1119 246 290 705</td>
<td>251 218 282 434</td>
<td>545 654 466 482</td>
<td>1627 261 257 321</td>
</tr>
<tr>
<td>Total</td>
<td>2291</td>
<td>1108</td>
<td>288 341 813 869</td>
<td>223 215 308 546</td>
<td>668 617 508 496</td>
<td>1914 201 112 64</td>
</tr>
<tr>
<td></td>
<td></td>
<td>48% 52%</td>
<td>12% 15% 35% 38%</td>
<td>10% % 13% 24%</td>
<td>29% 27% 22% %</td>
<td>84% %s %s %s</td>
</tr>
<tr>
<td>Yes to make calls</td>
<td>2001 963</td>
<td>1038</td>
<td>201 253 709 cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte cte c te e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see see seeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseeseseesseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseeseesesee sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees sees ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses ses sessessesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessesessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessessesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisesisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisissisisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiisisiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiissiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Columns Tested: a.p - b.c.e.f - g.h.i.j - k.m.n - o.p.q.r
Prepared by Saville Rossiter Base: <page_number>01727 899 399</page_number>
Table 22
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC2 (QC2A). Do you ever use this landline phone at home yourself to make and/or receive calls, for internet access or both? (MULTI CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151</td>
<td>208</td>
<td>232</td>
<td>221</td>
<td>218</td>
<td>205</td>
<td>203</td>
<td>194</td>
<td>200</td>
<td>204</td>
<td>2262</td>
<td>889 1603 1540 1601 1550</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127</td>
<td>184</td>
<td>219</td>
<td>212</td>
<td>205</td>
<td>191</td>
<td>194</td>
<td>182</td>
<td>185</td>
<td>188</td>
<td>1747 409 1113 1048 1055</td>
</tr>
<tr>
<td>Total</td>
<td>2291</td>
<td>279</td>
<td>334</td>
<td>2047</td>
<td>167</td>
<td>96%</td>
<td>9%</td>
<td>9%</td>
<td>9%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="background-color: #f0f0f0;">
<th colspan="3">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls<br>(<u style="font-weight: bold;">Yes for making calls.<table>
<tr>
<th colspan='3'>Total PERSONALLY USE
<table>
<tr>
<th rowspan='3'>No do not use landline at home
<table>
<tr>
<th rowspan='3'>Don't know
<table>
<tr>
<th rowspan='3'>Columns Tested:
a.b.c.d.e.f.g.h.i-j.k-l.m-n.o
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
<tr>
<th rowspan='3'>%
<table>
```html
<table border="">
<thead>
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<th colspan='3' class='header_item_0'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th colspan='7' class='header_item_1'></th><th colspan='7' class='header_item_2'></th><th colspan='7' class='header_item_3'></th><th colspan='7' class='header_item_4'></th><th colspan='7' class='header_item_5'></th><th colspan='7' class='header_item_6'></th><th colspan='7' class='header_item_7'></th><th colspan='7' class='header_item_8'></th><th colspan='7' class='header_item_9'></th><th colspan='7' class='header_item_10'></th><th colspan='7' class='header_item_11'></th><th colspan='7' class='header_item_12'></th><th colspan='7' class='header_item_13'></th><th colspan='7' class='header_item_14'></th><th colspan='7' class='header_item_15'></th><tbody id="__annotation__rowinterval_0_body">
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All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 1, 5 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
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QC2 (QC2A). Do you ever use this landline phone at home yourself to make and/or receive call, or internet access or both? (MULTI CODE)
Base : Those with a landline phone at home
Significance Level : 95%
Total
Unweighted total
Effective Weighted Sample
Total
Yes to make call
Yes to receive call
Yes to internet access
TOTAL PERSONALLY USE
No do not use landline at home
Don't know
Columns Tested :
a.b.c.d.e.f.g.h.i-j.k-l.m.n.o
Total
Unweighted total
Effective Weighted Sample
Total
Yes to make call
Yes to receive call
Yes to internet access
TOTAL PERSONALLY USE
No do not use landline at home
Don't know
Columns Tested :
a.b.c.d.e.f.g.h.i-j.k-l.m.n.o
Total
Unweighted total
Effective Weighted Sample
Total
Yes to make call
Yes to receive call
Yes to internet access
TOTAL PERSONALLY USE
No do not use landline at home
Don't know
Columns Tested :
a.b.c.d.e.f.g.h.i-j.k-l.m.n.o
Total
Unweighted total
Effective Weighted Sample
Total
Yes to make call
Yes to receive call
Yes to internet access
TOTAL PERSONALLY USE
No do not use landline at home
Don't know
Columns Tested :
a.b.c.d.e.f.g.h.i-j.k-l.m.n.o
```
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\`\`\] OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC3 (QC10). Thinking of when you use your landline, which one of these uses is the most important to you? (SINGLE CODE)
Base : Those who use their landline for internet access and to make or receive calls
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>UNDER E11.5K</td>
<td>E17.5K - E29.5K</td>
<td>E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>1</td>
<td>1</td>
<td>x m i</td>
<td>5 4 4 7</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1958</td>
<td>917</td>
<td>1041</td>
<td>243</td>
<td>295</td>
<td>727</td>
<td>695</td>
<td>182</td>
<td>201</td>
<td>265</td>
<td>453</td>
<td>546</td>
<td>632</td>
<td>417</td>
<td>362</td>
<td>1234</td>
<td>220</td>
<td>281</td>
<td>243</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1366</td>
<td>650</td>
<td>716</td>
<td>162</td>
<td>193</td>
<td>516</td>
<td>502</td>
<td>120</td>
<td>134</td>
<td>191</td>
<td>338</td>
<td>405</td>
<td>429</td>
<td>301</td>
<td>243</td>
<td>1085</td>
<td>134</td>
<td>165</td><td>184</td>
</tr>
<tr>
<td>Total</td>
<td>1518</td>
<td>731</td>
<td>787</td>
<td>188</td>
<td>231</td>
<td>599</td>
<td>501</td>
<td>104</td>
<td>134</td>
<td>209</td>
<td>432</td>
<td>498</td>
<td>414</td><td>342 284 1308 96 73 4 1 88% 6% 5% 3%</td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th></th></tr>
<tr style="border-top: double;">
<th></th></tr>
<tr style="border-top: double;">
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<th></th></tr>
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<th></th></tr>
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<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
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<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th></tr>
<tr style="border-top: double;">
<th>Maker receive calls </th></tr>
<tr style="border-top: double;">
<th>Total </th/></table
<table cellspacing='0' cellpadding='0'>
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<span id='table-footer-cell-1' class='table-footer-cell'>Columns Tested:</span> <span id='table-footer-cell-2' class='table-footer-cell'>a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.p.q.r.</span>
<span id='table-footer-cell-3' class='table-footer-cell'>Prepared by Saville Rossiter Base - 01727 899 399<br/>Table 23<br/>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.<hr/><strong>CQ3 (QC10).</strong> Thinking of when you use your landline, which one of these uses is the most important to you? (SINGLE CODE)<hr/><strong>Base :</strong> Those who use their landline for internet access and to make or receive calls<br/><hr/></span> <span id='table-footer-cell-4' class='table-footer-cell'>Significance Level:</span> <span id='table-footer-cell-5' class='table-footer-cell'>95%</span> <span id='table-footer-cell-6' class='table-footer-cell'></span> <span id='table-footer-cell-7' class='table-footer-cell'></span> <span id='table-footer-cell-8' class='table-footer-cell'></span> <span id='table-footer-cell-9' class='table-footer-cell'></span> <span id='table-footer-cell-10' class='table-footer-cell'></span> <span id='table-footer-cell-11' class='table-footer-cell'></span> <span id='table-footer-cell-12' class='table-footer-cell'></span> <span id='table-footer-cell-13' class='table-footer-cell'></span> <span id='table-footer-cell-14' class='table-footer-cell'></span> <span id='table-footer-cell-15' class='table-footer-cell'></span> <span id='table-footer-cell-16' class='table-footer-cell'></span> <span id='table-footer-cell-17' class='table-footer-cell'></span> <span id='table-footer-cell-18' class='table-footer-cell'></span> <span id='table-footer-cell-19' class='table-footer-cell'></span> <span id='table-footer-cell-20' class='table-footer-cell'></span> <span id='table-footer-cell-21' class='table-footer-cell'></span> <span id='table-footer-cell-22' class='table-footer-cell'></span> <span id='table-footer-cell-23' class='table-footer-cell'></span> <span id='table-footer-cell-24' class='table-footer-cell'></span> <span id='table-footer-cell-25' class='table-footer-cell'></span> <span id='table-footer-cell-26' class='table-footer-cell'></span> <span id='table-footer-cell-27' class='table-footer-cell'></span> <span id='table-footer-cell-28' class='table-footer-cell'></span> <span id='table-footer-cell-29' class='table-footer-cell'></span> <span id='table-footer-cell-30' class='table-footer-cell'></span> <span id='table-footer-cell-31' class='table-footer-cell'></span> </tfoot><!--<tfoot>-->
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC3 (QC10). Thinking of when you use your landline, which one of these uses is the most important to you? (SINGLE CODE)
Base: Those who use their landline for internet access and to make or receive calls
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST ENG</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h<i>-h<i>i</td>
<td>j<i>k<i></td>
<td>l<i>m<i>n<i>o<i></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1958</td>
<td>171<br>153<br>176<br>131<br>121<br>145<br>133<br>88<br>118<br>1404<br>554<br>1126<br>827<br>1058<br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
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<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<td style="padding-right: 5px;">Total</td>
<td style="padding-right: 5px;">Total Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<td style="padding-right: 5px;">Landline Users (N = 2,097)</td>
<table cellspacing="0" style="width: auto; border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>
<th colspan="3" rowspan="1"><strong>Total Landline Users (N = 2,097)</strong></th>>
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<table cellspacing=''>
<thead align='center'>
<tr align='center'>
<th align='left'>QC3 QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1) QC(1)QCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQCCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQCQQC QQ C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q C Q CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ CC QQ COO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OOO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GOO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGO GGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGOGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG GG
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```
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC4 (QC30). SHOWCARD How do you pay the line rental for your landline phone service? Please answer about your line rental only and not charges for calls and other costs. (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E11.9K E17.9K E29.9K</td>
<td>AB C D E</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3060</td>
<td>1448 1812</td>
<td>337 414 967 1312</td>
<td>342 324 382 596</td>
<td>736 936 667 717</td>
<td>1827 410 394 429</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2069</td>
<td>982 1088</td>
<td>226 270 690 897</td>
<td>238 213 273 423</td>
<td>537 627 458 465</td>
<td>1590 257 247 312</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2220</td>
<td>1075 1146</td>
<td>247 317 791 866</td>
<td>212 210 296 532</td>
<td>653 588 496 483</td>
<td>1853 197 109 62</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>48% 52%</td>
<td>11% 14% 36% 39%</td>
<td>10% 9% 13% 24%</td>
<td>29% 26% 22% 22%</td>
<td>83% 9% 5% 3%</td>
<td></td>
</tr>
<tr>
<td colspan="8">On a monthly or quarterly basis, alongside call charges and other costs:</td>
</tr>
<tr>
<td></td><td>2004</td><td>978</td><td>1025</td><td>184<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br>c d<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> </table>
<table cellspacing="0">
<tr style="background-color: #f0f0f0;">
<th colspan="8" style="text-align: center;">Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r</th><th style="text-align: right;">Table <page_number>24</page_number></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></table>
Prepared by Saville Rossiter Base : \<page_number>01727 899 399\</page_number> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC4 (QC30). SHOWCARD How do you pay the line rental for your landline phone service? Please answer about your line rental only and not charges for calls and other costs. (SINGLE CODE)
Base: Those with a landline phone at home that can used to make and receive calls
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH WEST</td>
<td>SOUTH EAST</td>
<td>EAST MIDLANDS</td>
<td>EAST ENG</td>
<td>YORKSHIRE & HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3060</td>
<td>188<br>228<br>219<br>214<br>199<br>196<br>193<br>193<br>197<br>2186<br>874<br>1548<br>1504<br>1572<br>1488<br><br></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br></tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2069</td>
<td>167<br>216<br>210<br>202<br>185<br>187<br>181<br>179<br>182<br>1693<br>404<br>1074<br>1025<br>1083<br>1010<br><br></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br></tr>
<tr>
<td>Total</td>
<td>2220</table>
<table cellspacing="0" cellpadding="0">
<thead>
<tr style="background-color: #ebebeb;">
<th>Total (n)</th>
<th>LONDON (%)<br>(n)</th>
<th>SOUTH WEST (%)<br>(n)</th>
<th>SOUTH EAST (%)<br>(n)</th>
<th>EAST MIDLANDS (%)<br>(n)</th>
<th>EAST ENG (%)<br>(n)</th>
<th>YORKSHIRE & HUMBER (%)<br>(n)</th>
<th>NORTH EAST (%)<br>(n)</th>
<th>NORTHWEST (%)<br>(n)</th>
<th>NORTHWEST (%)<br>(n)</th>
<th>URBAN (%)<br>(n)</th>
<th>RURAL (%)<br>(n)</th>
<th>YES (%)<br>(n)</th>
<th>NO (%)<br>(n)</th>
<th>LOW (%)<br>(n)</th>
<th>MEDIUM (%)<br>(n)</th>
<th>HIGH (%)<br>(n)</th>
</tr>
</thead>
<tbody>
<tr style="background-color: #ebebeb;">
<td>Total (n) = 2220 (Total sample size)</table>
<table cellspacing="0" cellpadding="0">
<thead>
<tr style="background-color: #ebebeb;">
<th>Total (n)</th>
<th>LONDON (%)<br>(n)</th>
<th>SOUTH WEST (%)<br>(n)</th>
<th>SOUTH EAST (%)<br>(n)</th>
<th>EAST MIDLANDS (%)<br>(n)</th>
<th>EAST ENG (%)<br>(n)</th>
<th>YORKSHIRE & HUMBER (%)<br>(n)</th>
<th>NORTH EAST (%)<br>(n)</th>
<th>NORTHWEST (%)<br>(n)</th>
<th>NORTHWEST (%)<br>(n)</th>
<th>URBAN (%)<br>(n)</th>
<th>RURAL (%)<br>(n)</th>
<th>YES (%)<br>(n)</th>
<th>NO (%)<br>(n)</th>
<th>LOW (%)<br>(n)</th>
<th>MEDIUM (%)<br>(n)</th>
<th>HIGH (%)<br>(n)</th>
</tr>
<tbody>
<tr style="background-color: #ebebeb;">
<td>Total (n) = 2220 (Total sample size)</table>
<table cellspacing="0" cellpadding="0">
<thead>
<tr style="background-color: #ebebeb;">
<th>Total (n)</th>
<th>LONDON (%)<br>(n)</th>
<th>SOUTH WEST (%)<br>(n)</th>
<th>SOUTH EAST (%)<br>(n)</th>
<th>EAST MIDLANDS (%)<br>(n)</th>
<th>EAST ENG (%)<br>(n)</th>
<th>YORKSHIRE & HUMBER (%)<br>(n)</th>
<th>NORTH EAST (%)<br>(n)</th>
<th>NORTHWEST (%)<br>(n)</th>
<th>NORTHWEST (%)<br>(n)</th>
<th>URBAN (%)<br>(n)</th>
<th>RURAL (%)<br>(n)</th>
<th>YES (%)<br>(n)</th>
<th>NO (%)<br>(n)</th>
<th>LOW (%)<br>(n)</th>
<th>MEDIUM (%)<br>(n)</th>
<th>HIGH (%)<br>(n)</th>
</tr>
<tbody>
<tr style="background-color: #ebebeb;">
<td>Total (n) = 2220 (Total sample size)
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC5 (QC28). SHOWCARD Which of these do you consider to be your MAIN method of making and receiving telephone calls? (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K</th>
<th>E17.5K</th>
<th>E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</td><td>x</ td></tr>
<tr>
<td>Unweighted total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr>
<td>Significance Level: 95%</table>
<table>
<thead>
<tr>
<th></th>
<th>TOTAL MALE FEMALE 16-24 25-34 35-54 55+ UNDER E1T.5K E17.5K E29.9K E30K+ AB C1 C2 DE ENG LAND SCOT LAND WALES NI x m x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYZ XYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXYXY XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX XYX xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyx xyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyxyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy 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mn mn mn mn mn mn mn mn mn mn mn mn mn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn 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iiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee eeee 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qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq qqq ggg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg gg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg ggg hhh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh jjj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj jjj kkk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk kkk ccc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc ccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc cccc ccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE EEE ESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESESE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SSS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXI
<img>A table showing OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016 data.</img>
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<th></th>
<th>TOTAL MALE FEMALE 16-24 25-34 35-54 55+ UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDER UNDERSUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDERUNDER UNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUNDERSUDDERSDDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDSDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DDDD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DD DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DO DODOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO OO QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQ QQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQO
<img>A table showing OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016 data.</img>
<table border="1">
<thead>
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<th>TOTAL MALE FEMALE 16-24 25-34 35-54 55+ </th>
<th>HOUSEHOLD INCOME </th>
<th>SOCIAL GROUP </th>
<th>NATION </th>
<th></th>
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<table border="1">
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<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
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<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
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<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
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<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
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<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
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<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54 55+</table>
<table border="1">
<thead>
<tr>
<td colspan="3" style="text-align:center;">Total Male Female 16-24 25-34 35-54
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC5 (QC28). SHOWCARD Which of these do you consider to be your MAIN method of making and receiving telephone calls? (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
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<td></td>
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<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861 1792 1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>231</td>
<td>231</td>
<td>2082</td>
<td>456 1294 1218 1321</td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>338 139 13% 8% 7% 9% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>398 13% 8% 7% 9% 9%</td><td>2315<br/>360<br/>87%</br/>15%</br/>50%</br/>42%</br/>54%</br/>48%</br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/>
<tr style="background-color: #f0f0f0;">
<td colspan="14" style="text-align: center;">Mobile phone<br/><table border="0"><tbody><tr><th style="width:50%;">Total<br/>68%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th><th style="width:50%;">bcdefgij<br/>10%</th></tr><tr><td colspan="14"></td></tr><tr><td style="border-bottom: double;">Landline phone at home<br/>26%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td><td style="border-bottom: double;">745<br/>34%</td></tr></table></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span>
<tr style="background-color: #f0f0f0;">
<td colspan="14" style="text-align: center;">Landline phone at work<br/><table border="0"><tbody><tr><th style="width:50%;">Total<br/>68%</th><th style="width:50%;">abcdefghjklmno<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>%<p>% <table border="0"><tbody><tr><th style="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody><tr><th colspan="">Total <table border=""><tbody<tr
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC5 (QC28). SHOWCARD Which of these do you consider to be your MAIN method of making and receiving telephone calls? (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>251<br>247<br>250<br>251<br>237<br>252<br>251<br>251<br>2711<br>1028<br>1861<br>1863<br>1792<br>1945</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <span style="color:red;">(o)</span> </table>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th rowspan="2">Total</th>
<th rowspan="2">LONDON</th>
<th rowspan="2">SOUTH EAST</th>
<th rowspan="2">SOUTH WEST</th>
<th rowspan="2">EAST MIDLANDS</th>
<th rowspan="2">EAST OF ENGLAND</th>
<th rowspan="2">YORKSHIRE AND HUMBER</th>
<th rowspan="2">NORTH EAST</th>
<th rowspan="2">NORTH WEST</th>
<th rowspan="2">URBANITY</th>
<th rowspan="2">RURALITY</th>
<th rowspan="2">YES NO YES NO LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUMHIGHLOWMEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_LOW_MED_MEDIUM_HIGH_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_med_medium_high_low_medi um high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low med medium high low m ed _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med _medium _high _low _med_ m ed_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d i u m_ h i g h_ l o w_ m e d_ m e d_i u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_i_g_h_l_o_w_m_e_d_i_u_m_h_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_G_H_L_O_W_ME_D_I_U_H_I_GH L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I G H L O W ME D I U H I GH
<img>A table showing the distribution of responses across different categories.</img>
Effective Weighted Sample Total Don't know <watermark>Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o 8% 23% -% -% -% 10% 16% 17% 13% 94% 6% 53% 47% 56% 44%</watermark>
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC6 (QC28A): SHOWCARD And thinking about when you are at home, which is your MAIN method of making and receiving telephone calls? [SINGLE CODE]
<table>
<thead>
<tr>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td>Male</td>
<td>Female</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E1T.5K</td>
<td>E17.5K</td>
<td>E17.5K</td>
<td>E29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="14" style="text-align:center;">Significance Level: 95%</td>
</tr>
<tr>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>1790</TD><th colspan="2">1947</th><th colspan="2">519</th><th colspan="2">604</th><th colspan="2">1172</th><th colspan="2">1442</th><th colspan="2">595</th><th colspan="2">401</th><th colspan="2">451</th><th colspan="2">615</th><th colspan="2">7192</th><th colspan="2">1122</th><th colspan="2">751</th><th colspan="2">1022</th><th colspan="2">2389</th><th colspan="2">502</th><th colspan="2">489</th><th colspan="2">507</th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Significance Level: 95%</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Total</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Unweighted total</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Effective Weighted Sample</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Total</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Mobile phone</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Landline phone at home</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Internet voice service (VoIP)</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Public payphone</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Other</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Don't know</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>Columns Tested: a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
<table>
<tr class='header_bottom_margin'>
<td style='text-align:left;'>a.b - c.d.e.f.g.h.i.j.k.m.n - o.p.q.r.</table>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC6 (QC8A): SHOWCARD And thinking about when you are at home, which is your MAIN method of making and receiving telephone calls? [SINGLE CODE]
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDs</th>
<th>EAST ENG</th>
<th>YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a b c</td>
<td>d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1026</td>
<td>1861</td><td>1792</td><td>1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082</td>
<td>456</td><td>1294</td><td>1256</td><td>1321</td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr>
<table>
<tr
Table 26
QC6 (QC8A): SHOWCARD And thinking about when you are at home, which is your MAIN method of making and receiving telephone calls? [SINGLE CODE]
Base: All respondents
| Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDs | EAST ENG | YORKSHIRE | NORTH EAST | NORTH WEST | URBAN | RURAL | YES NO | LOW HIGH | |---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | | | | | | | | | | | | | | Unweighted total | 3737 | 249 | 251 | 247 | 250 | 251 | 237 | 252 | 251 | 251 | 2711 | 1026 | 1861 | 1792 | 1945 | | Effective Weighted Sample | 2504 | 221 | 237 | 237 | 233 | 233 | 225 | 231 | 232 | 231 | 2082 | 456 | 1294 | 1256 | 1321 | | Total | 6785 | 488 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 6785 | 498 | 6785 |
Mobile phone
| Mobile phone | |---| | Total | | Unweighted total | | Effective Weighted Sample | | Total |
Landline phone at home
| Landline phone at home | |---| | Total | | Unweighted total | | Effective Weighted Sample | | Total |
Internet voice service (VoIP)
| Internet voice service (VoIP) | |---| | Total | | Unweighted total | | Effective Weighted Sample | | Total |
Public payphone
| Public payphone | |---| | Total | | Unweighted total | | Effective Weighted Sample | | Total |
Other
| Other | |---| | Total | | Unweighted total | | Effective Weighted Sample | | Total |
Don't know
| Don't know | |---| | Total | | Unweighted total | | Effective Weighted Sample | | Total |
Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC7 (QC21B). SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE)
Base : Households with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E1T.5K</td>
<td>E17.5K</td>
<td>E17.5K+ E29.5K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NL</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>m</td>
<td>0%</td>
<td>4%</td>
<td>4%</td>
<td>4%</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr class="header_bottom_margin">
<td colspan="13">Unweighted total<br>3151 1483 1669 865 364 442 1021 1323 832 330 396 581 751 700 680 745 185 415 411 440<br></td></tr>
<tr class="header_bottom_margin">
<td colspan="13">Effective Weighted Sample<br>2127 1006 1119 246 290 705 902 251 218 282 434 545 654 466 482 1627 261 257 321<br></td></tr>
<tr class="header_bottom_margin">
<td colspan="13">Total<br>2291<br>(8%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">BT<br>(8%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">889<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">430<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">459<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">73<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">39<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">8<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">7<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="text-align: left;">3<br>(39%)<table border="0" cellpadding="0" cellspacing="0" style="width: auto;">
<tbody valign="top">
<tr style="height: auto;">
<th style="">ct<br>(d)</th> </th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th> <th style="">ct<br>(d)</th>&e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;e;</table></tbody></tr></table></tbody></tr></table></tbody></tr></table></tbody></tr></table></tbody></tr></table></tbody></tr></table></tbody></tr></table></tbody></tr>
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<thead border=''>
<tr border=''>
<th border=''>Sky
</></table
<table border=''>
<thead border=''>
<tr border=''>
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</></table
<table border=''>
<thead border=''>
<tr border=''>
<th border=''>Sky
</></table
<table border=''>
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<tr border=''>
<th border=''>Sky
</></table
<table border=''>
<thead border=''>
<tr border=''>
<th border=''>Sky
</></table
<table border=''>
<thead border=''>
<tr border=''>
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</></table
<table border=''>
<thead border=''>
<tr border=''>
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</></table
<table border=''>
<thead border=''>
<tr border=''>
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</></table
<table border=''>
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</></table
<table border=''>
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<tr border=''>
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</></table
<table border=''>
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<tr border=''>
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</></table
<table border=''>
<thead border=''>
<tr border=''>
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</></table
<table border=''>
<thead border=''>
<tr border=''>
<th border=''>Sky
</></table
<table border=''>
<thead border=''>
<tr border=''>
<th border=''>Sky
</></table
<table border=''>
<thead border=''>
<tr border=''>
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</></table
<table border=''>
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<table border=''>
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<table border=''>
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</></table
\<tableborder ''\] theadborder ''\] trborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] tborder ''\] OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC7 (QC21B). SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151 1483 1663</td>
<td>365 442 1021 1323</td>
<td>382 330 398 581</td>
<td>781 700 680 745</td>
<td>185 415 411 440</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127 1006</td>
<td>1119 246 290 705</td>
<td>281 218 282 434</td>
<td>545 654 466 482</td>
<td>1627 261 257 321</td>
</tr>
<tr>
<td>Total</td>
<td>2291 1108</td>
<td>288 343 813 869</td>
<td>222 215 308 546</td>
<td>668 617 508 496</td>
<td>1914 201 112 64</td>
</tr>
<tr>
<td>KComm</td>
<td>17 %<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%</td>
<td>7 %<br><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</pan></td>
<td>5 % <div class="table-cell-number">5<br>- <div class="table-cell-number">-</div></div></td>
<td colspan="3" rowspan="3"><div class="table-cell-number">- <div class="table-cell-number">-</div></div></td>
</tr>
<tr>
<td>Tesco Telecom</td>
<td>6 %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %* %*</td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
</tr>
<tr>
<td>SSE</td>
<td>4 % * * * * * * * * * * * * * * * * * * * *</td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
</tr>
<tr>
<td>Premier Plus Primus The Phone Co-op/ The Co-operative Other</td>
<td>3 % * * * * * * * * * * * * * * * * * *</td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
<td>- <div class="table-cell-number">-</div></td>
</tr>
<table border='none'>
<thead>
<tr>
<th>Don't know Columns Tested: a,b - c,d,e,f - g,h,j - k,l,m,n - o,p,q,r</th>
<th>Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE Total MALE FEMALE
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Total
Table Cell Value
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC7 (QC21B). SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151</td>
<td>208 232 221 218 205 203</td>
<td>194 200 204 2262 889 1603 1540 1801</td>
<td>194 182 185 188 1747 409 1113 1048 1099</td>
<td>194 182 185 188 1747 409 1113 1048 1099</td>
<td>204 204 204 204 204 204 204 204 204</td>
<td>330 949 1298</td>
<td>58% 58% 58%</td>
<td>41% 57% 57%</td>
<td>43% 43%</td>
<td>33%</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127</td>
<td>184 219 212 205</td>
<td>191 194 182 185</td>
<td>194 200 204 2262</td>
<td>889</td>
<td>1603</td>
<td>1540</td>
<td>1801</td>
<td>330</td>
<td>949</td>
<td>1298</td>
<td>57%</td>
<td>57%</td>
</tr>
<tr>
<td>Total</td>
<td>2291</td>
<td>279 334 304</td>
<td>167 196 211</td>
<td>185</td><td>91<br/>8%<br/>9%<br/>9%</td><td>247<br/>4%<br/>11%</br/>1%</td><td>1961<br/>330<br/>58%</br/>5%</td><td>330<br/>949<br/>57%</td><td>58%<br/>58%</br/>5%</td><td>43%<br/>43%</br/>5%</td><td>33%</br/>33%</br/>5%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/>
<tr style="border-top: double;">
<td>BT</td><td rowspan="6" style="text-align:center;">889<br/>3%<table border="0">
<tbody><tr><th style="text-align:left;">h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/>h<br/><table border="0">
<tbody><tr><th style="text-align:left;">a o b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC7 (QC21B). SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST WEST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151</td>
<td>208 232 221 218 205 203</td>
<td></td>
<td>194 200 204 2262 889 1603 1540 1801</td>
<td></td>
<td>182 185 188 1747 409 1113 1048 1099</td>
<td></td>
<td>963</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Effective Weighted Sample<br>Total<br>2921<br>Post Office<br>KComm<br>Tesco Telecom<br>SSE<br>Primus<br>The Phone Co-op! The Co-operative<br>Other<br>Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o</table>
<table>
<thead>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST WEST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST WEST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL YES NO LOW MEDIUM HIGH o p q r s t u v w x y z
Significance Level: 95%
Unweighted total
Effective Weighted Sample
Total
Post Office
KComm
Tesco Telecom
SSE
Primus
The Phone Co-op! The Co-operative
Other
Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o
Base: Those with a landline phone at home
QC7 (QC21B). SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE)
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Prepared by Saville Rossler Base: 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 27
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC7 (QC21B). SHOWCARD Which of these do you consider is your main supplier? (SINGLE CODE) Base : Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<th></th>
<th></th>
<th>a</th>
<th>b</th>
<th>c</th>
<th>d</th>
<th>e</th>
<th>f</th>
<th>g</th>
<th>h</th>
<th>i</th>
<th>j</th>
<th>k</th>
<th>l</th>
<th>m</th>
<th>n</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/>
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<a href="#table_1" name="table_1"><strong>Unweighted total</strong> 3151 208 232 221 218 205 203 194 200 204 2262 889 1603 1540 1801 1550</a>
<a href="#table_2" name="table_2"><strong>Effective Weighted Sample</strong> 2127 184 219 212 205 191 194 182 185 188 1747 409 1113 1048 1099 1055</a>
<a href="#table_3" name="table_3"><strong>Total</strong> 2291 279 334 204 167 196 9% 9% 9% 8% 4% 11% 86% 14% 58% 41% 57% 43%</a>
<a href="#table_4" name="table_4"><strong>Don't know</strong> 30 <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/></a>
<a href="#table_5" name="table_5"><strong>Columns Tested: a,b,c,d,e,f,g,h,i,j,k-l,m-n,o</strong> </a>
<a href="#table_6" name="table_6"><strong>Don't know</strong> </a>
<a href="#table_7" name="table_7"><strong>Don't know</strong> </a>
<a href="#table_8" name="table_8"><strong>Don't know</strong> </a>
<a href="#table_9" name="table_9"><strong>Don't know</strong> </a>
<a href="#table_10" name="table_10"><strong>Don't know</strong> </a>
<a href="#table_11" name="table_11"><strong>Don't know</strong> </a>
<a href="#table_12" name="table_12"><strong>Don't know</strong> </a>
<a href="#table_13" name="table_13"><strong>Don't know</strong> </a>
<a href="#table_14" name="table_14"><strong>Don't know</strong> </a>
<a href="#table_15" name="table_15"><strong>Don't know</strong> </a>
<a href="#table_16" name="table_16"><strong>Don't know</strong> </a>
<a href="#table_17" name="table_17"><strong>Don't know</strong> </a>
<a href="#table_18" name="table_18"><strong>Don't know</strong> </a>
<a href="#table_19" name="table_19"><strong>Don't know</strong> </a>
<a href="#table_20" name="table_20"><strong>Don't know</strong> </a>
<a href="#table_21" name="table_21"><strong>Don't know</strong> </a>
<a href="#table_22" name="table_22"><strong>Don't know</strong> </a>
<a href="#table_23" name="table_23"><strong>Don't know</strong> </a>
<a href="#table_24" name="table_24"><strong>Don't know</strong> </a>
<a href="#table_25" name="table_25"><strong>Don't know</strong> </a>
<a href="#table_26" name="table_26"><strong>Don't know</strong> </a>
<a href="#table_27" name="table_27"><strong>Don't know</strong> </a>
<a href="#table_28" name="table_28"><strong>Don't know</strong> </a>
<a href="#table_29" name="table_29"><strong>Don't know</strong> </a>
<a href="#table_30" name="table_30"><strong>Don't know</strong> </a>
<a href="#table_31" name="table_31"><strong>Don't know</strong> </a>
<a href="#table_32" name="table_32"><strong>Don't know</strong> </a>
<a href="#table_33" name="table_33"><strong>Don't know</strong> </a>
<a href="#table_34" name="table_34"><strong>Don't know</strong> </a>
<a href="#table_35" name="table_35"><strong>Don't know</strong> </a>
<a href="#table_36" name="table_36"><strong>Don't know</strong> </a>
<a href="#table_37" name="table_37"><strong>Don't know</strong> </a>
<a href="#table_38" name="table_38"><strong>Don't know</strong> </a>
<a href="#table_39" name="table_39"><strong>Don't know</strong> </a>
<a href="#table_40" name="table_40"><strong>Don't know</strong> </a>
<a href="#table_41" name="table_41"><strong>Don't know</strong> </a>
<a href="#table_42" name="table_42"><strong>Don't know</strong> </a>
<a href="#table_43" name="table_43"><strong>Don't know</strong> </a>
<a href="#table_44" name="table_44"><strong>Don't know</strong> </a>
\<a href="#table_45" name="tab <watermark>Saville Rossiter Base : 01727. OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC8A (QC13A). SHOWCARD Thinking about your home phone service only, please use this card to say how satisfied you are with the overall service provided by (MAN SUPPLIER) (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th colspan="2">GENDER</th>
<th colspan="2">AGE GROUP</th>
<th colspan="2">HOUSEHOLD INCOME</th>
<th colspan="2">SOCIAL GROUP</th>
<th colspan="2">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K</th>
<th>E17.5K</th>
<th>E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>k</td>
<td>4</td>
<td>4</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151<br>1483<br>1665<br>1687</td>
<td>365<br>342<br>1021<br>1323</td>
<td>365<br>342<br>1021<br>1323</td>
<td>380<br>365<br>1021<br>1323</td>
<td>380<br>365<br>1021<br>1323</td>
<td>380<br>365<br>1021<br>1323</td>
<td>380<br>365<br>1021<br>1323</td>
<td>380<br>365<br>1021<br>1323</td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndd< td=""><table cellspacing="0" cellpadding="0"><tbody id="tbody"><tr id="tr"><th colspan="4" style="text-align:center;">Very satisfied</th></tr>\n<tr id="tr"><th rowspan="2" style="text-align:left;">Base for %<table cellspacing="0" cellpadding="0"><tbody id="tbody"><tr id="tr"><th rowspan="2" style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style="text-align:left;">Total number of respondents:</th>\n<tr id="tr"><th style=\"align: left;\">Very satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97% (97%)\nVery satisfied (total): 97%
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quite act weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC8A (QC13A). SHOWCARD Thinking about your home phone service only, please use this card to say how satisfied you are with the overall service provided by (MAIN SUPPLIER) (SINGLE CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151 1483</td>
<td>1658 365</td>
<td>365 442 1021 1323</td>
<td>382 330 396 581</td>
<td>751 970 680 745</td>
<td>1885 415 411 440</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127 1006</td>
<td>1119 246</td>
<td>290 705 902</td>
<td>281 218 282 434</td>
<td>545 654 466 482</td>
<td>1627 261 257 321</td>
</tr>
<tr>
<td>Total</td>
<td>2291</td>
<td>1108</td>
<td>1183 268</td>
<td>341 813 869</td>
<td>222 215 308</td>
<td>546 668 617</td>
<td>508 496 1914</td>
<td>201 112 64</td>
</tr>
<tr>
<td>TOTAL DISSATISFIED</td>
<td>131</td>
<td>56</td>
<td>74 11</td>
<td>21 48</td>
<td>51 15</td>
<td>20 31</td>
<td>45 34</td>
<td>28 109</td><td>13<br/>7<br/>2<br/></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br/><br/></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br/><br/></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br/><br/></tr><tr><td></table>
Don't know Columns Tested: a.b - c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r
Prepared by Saville Rossiter Base : \<page_number>01727 899 399\</page_number> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC8A (QC13A). SHOWCARD Thinking about your home phone service only, please use this card to say how satisfied you are with the overall service provided by (MAIN SUPPLIER) (SINGLE CODE) Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>MEDIUM LOW</th>
<th>MEDIUM HIGH</th>
<th>HIGH o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3151</td>
<td>208 232 221 219 212 205 191 194 182 185 188 196 211 204 205 204 200 204 2262 889 1603 1540 1601 1550</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127</td>
<td>184 219 212 205 191 194 182 185 188 196 211 204 205 204 200 204 2262 889 1603 1540 1601 1550</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2291</td>
<td>279 334 304 207 167 196 211 85 91 247 88%<br>Base for %<br>Very satisfied<br>Effective Weighted Sample<br>Fairly satisfied<br>Fairly dissatisfied<br>Very dissatisfied<br>Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Column Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>Lowest Base: a,b,c,d,e,f,g,h,i,j,k,l,m,n.o
</tr>
<table border="1">
<thead><tr><th>TOTAL SATISFIED</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</th><th rowspan="3">a b c d e f g h i j k l m n o</table>
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
(97%)
(97%)
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><th>TOTAL SATISFIED
(97%)
<table border="1">
<thead><tr><
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QC8A (QC13A). SHOWCARD Thinking about your home phone service only, please use this card to say how satisfied you are with the overall service provided by (MAN SUPPLIER) (SINGLE CODE)
Base: Those with a landline phone at home
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3151</td>
<td>208<br>232<br>221<br>218<br>205<br>203<br>194<br>200<br>204<br>2262<br>889<br>1603<br>1540<br>1801<br>1550</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2127<br>184<br>219<br>212<br>205<br>191<br>194<br>182<br>185<br>188<br>1747<br>409<br>1113<br>1048<br>1099<br>1055</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2291<br>279<br>334<br>204<br>167<br>196<br>211<br>185<br>91<br>247<br>1961<br>330<br>1334<br>949<br>1298<br>993</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
<tr style="border-top: 1px solid black;">
<td>TOTAL DISSATISFIED</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Total Dissatisfied (%)<br>(n = 46)</th>
<th>LONDON (%)<br>(n = 4)</th>
<th>SOUTH EAST (%)<br>(n = 4)</th>
<th>SOUTH WEST (%)<br>(n = 4)</th>
<th>EAST MIDLANDS (%)<br>(n = 4)</th>
<th>EAST OF ENGLAND (%)<br>(n = 4)</th>
<th>YORKSHIRE AND HUMBER (%)<br>(n = 4)</th>
<th>NORTH EAST (%)<br>(n = 4)</th>
<th>NORTHWEST (%)<br>(n = 4)</th>
<th>URBAN (%)<br>(n = 4)</th>
<th>RURAL (%)<br>(n = 4)</th>
<th>BOTH (%)<br>(n = 4)</th>
<th>FEMALE (%)<br>(n = 4)</th>
<th>MULTIPLE (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>MEDIUM (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<th>HIGH (%)<br>(n = 4)</th>
<tr style="background-color: #f0f0f0;">
<td style="text-align:center;">Total Dissatisfied (%)<br>(n = 46)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Dont know (n = 46)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>COLUMNS TESTED: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1. How many mobile phones IN TOTAL do you AND members of your household use? (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.5K E17.5K E29.9K E30K+</td>
<td>E11.5K E17.5K E29.9K E30K+</td>
<td>AB C D E F G H I J K L M N O P Q R</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</tbody>
</table>
Significance Level: 95% Unweighted total: 3737 17947 Effective Weighted Sample: 2504 1167
One: (1.0) Total: 2675 One: 589 Two: (2.0) Three: (3.0) Four or more: (4.0) None: (0.0) Don't know: Mean mobiles in household: Standard deviation: Standard error:
<table>
<thead>
<tr>
<th></th>
<th>MALE FEMALE</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
<th>AB C D E F G H I J K L M N O P Q R</th>
<th>ENG LAND SCOT LAND WALES NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8 5</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.5K E17.5K E29.9K E30K+</td>
<td>E11.5K E17.5K E29.9K E30K+</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total:</td>
<td>3737 17947</td>
<td>519 604 1172 1442</td>
<td>595 401 451 615</td>
<td>769 712 782 888</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample:</td>
<td>2504 1167</td>
<td>343 401 807 971</td>
<td>377 268 325 461</td>
<td>578 736 888 888</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total:</td>
<td>2675</td>
<td>301 44 912 126</td>
<td>328 407 49% 34% </td><td>32% 27% </td><td></td><td></td><td></td>
</tr>
<tr>
<td>One:</td><td>(1.0)</td><td>589</td><td>49% 51%</td><td>7% 14%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align:center;">
<th rowspan="2">GENDER</th>
<th rowspan="2">AGE GROUP</th>
<th colspan="2">HOUSEHOLD INCOME</th>
<th colspan="2">SOCIAL GROUP</th>
<th colspan="2">NATION</th>
</tr>
```
<tr style="text-align:center;">
<th>E11.5K E17.5K E29.9K E30K+</th>
<th>E11.5K E17.5K E29.9K E30K+</th>
<th>C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<th>A B C D E F G H I J K L M N O P Q R</th>
<tr style="background-color:#f0f0f0;">
<!-- Row for Total -->
<!-- Row for One -->
<!-- Row for Two -->
<!-- Row for Three -->
<!-- Row for Four or more -->
<!-- Row for None -->
<!-- Row for Don't know -->
<!-- Row for Mean mobiles in household -->
<!-- Row for Standard deviation -->
<!-- Row for Standard error -->
<!-- Row for Columns Tested -->
</tr>
</thead>
<tbody style="text-align:center;">
<!-- Body rows -->
</tbody>
</table>
```
Prepared by Saville Rossler Base: 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1. How many mobile phones IN TOTAL do you AND members of your household use? (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM*</th>
<th>HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3737<br>249<br>251<br>247<br>250<br>251<br>237<br>251<br>251<br>251<br>2711<br>1026<br>1861<br>1803<br>1792<br>1945</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504<br>221<br>237<br>237<br>233<br>233<br>237<br>231<br>232<br>231<br>2082<br>456<br>1294<br>1256<br>1218<br>1321</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2675<br>338<br>359<br>359<br>227<br>189<br>237<br>245<br>228<br>114<br>302<br>2315<br>360<br>1552<br>1114<br>1443<br>1443</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
<tr style="border-top: 1px solid black;">
<td rowspan="8" style="vertical-align: top;">One (1.0)</table>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th>Total (n)</th>
<th>LONDON (%)<br>a (%)<br>b (%)<br>c (%)<br>d (%)<br>e (%)<br>f (%)<br>g (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>SOUTH EAST (%)<br>b (%)<br>c (%)<br>d (%)<br>e (%)<br>f (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>SOUTH WEST (%)<br>c (%)<br>d (%)<br>e (%)<br>f (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>EAST MIDLANDS (%)<br>d (%)<br>e (%)<br>f (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>EAST OF ENGLAND (%)<br>e (%)<br>f (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>YORKSHIRE & HUMBER (%)<br>f (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>NORTH EAST (%)<br>i (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th>NORTH WEST (%)<br>j (%)<br>k (%)<br>m (%)<br>n (%)<br>O (%)</th>
<th colspan="3">URBANITY (%)<hr>a (%)<hr>b (%)<hr>c (%)<hr>d (%)<hr>e (%)<hr>f (%)<hr>i (%)<hr>j (%)<hr>k (%)<hr>m (%)<hr>n (%)<hr>O (%)</th>
<th colspan="3">DEPRIVATION LEVEL (%)<hr>LOW (%)<hr>MEDIUM* (%)<hr>HIGH (%)</th>
</tr>
</thead>
```
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="font-weight:bold;">Total (n)</th>
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="font-weight:bold;">LONDON (n)</th>
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="font-weight:bold;">a (n)</th>
<table border="1">
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<th style="font-weight:bold;">j (n)</th>
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="font-weight:bold;">k (n)</th>
<table border="1">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th style="font-weight:bold;">m (n)</th>
</tbody>
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</table>
</tbody>
</table>
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```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 29
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1. How many mobile phones IN TOTAL do you AND members of your household use? (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>EAST YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>j</td>
<td>k</td>
<td>i</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>251<br>247<br>250<br>251<br>237<br>252<br>251<br>251<br>2711<br>1026<br>1861<br>1803<br>1792<br>1945</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Effective Weighted Sample<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><table>
<tr>
<th style="text-align:left;">Standard deviation:</th>
<th style="text-align:right;">1.08</th>
<th style="text-align:right;">1.03</th>
<th style="text-align:right;">4.54</th>
<th style="text-align:right;">1.13</th>
<th style="text-align:right;">1.02</th>
<th style="text-align:right;">8%<table>
<tr>
<th style="text-align:left;"></th>
<th style="text-align:right;">8%</th>
<th style="text-align:right;">8%</th>
<th style="text-align:right;">4%</th>
<th style="text-align:right;">11%</th>
<th style="text-align:right;">58%</th>
<th style="text-align:right;">42%</th>
<th style="text-align:right;">54%</th>
<th style="text-align:right;">46%</th>
<th style="text-align:right;">1.08</th>
<th style="text-align:right;">1.03</th>
<th style="text-align:right;">1.02</th>
<th style="text-align:right;">8%<table>
<tr>
<th style="text-align:left;"></th>
<th style="text-align:right;">8%</th>
<th style="text-align:right;">8%</th>
<th style="text-align:right;">4%</th>
<th style="text-align:right;">11%</th>
<th style="text-align:right;">58%</th>
<th style="text-align:right;">42%</th>
<th style="text-align:right;">54%</th>
<th style="text-align:right;">46%</th>
<th style="text-align:right;">1.08</th>
<th style="text-align:right;">1.03</th>
<th style="text-align:right;">1.02</th>
<th style="text-align:right;">8%<table>
<tr>
<th style="text-align:left;"></th>
<th style="text-align:right;">8%</th>
<th style="text-align:right;">8%</th>
<th style="text-align:right;">4%</th>
<th style="text-align:right;">11%</th>
<th style="text-align:right;">58%</th>
<th style="text-align:right;">42%</th>
<th style="text-align:right;">54%</th>
<th style="text-align:right;">46%</th>
<th style="text-align:right;">1.08</th>
<th style="text-align:right;">1.03</th>
<th style="text-align:right;">1.02</th>>
<tr>>
<th style="text-align:left;"></th>>
<tr>>
<th style="text-align:left;"></th>>
<tr>>
<th style="text-align:left;"></th>>
<tr>>
<th style="align:left;"></table>>
<tr>>
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<table cellspacing='0' cellpadding='0' border='0'>
<tbody id='cell_data_col'>
<tr id='<strong>'&#x27;</strong>'&#x27; data_cell_col_row_id="">
&#x27; data_cell_col_row_id=""><strong data_cell_col_row_id="">data_cell_col_row_id=""></strong>&#x27; data_cell_col_row_id="">
</tbody><!-- end cell_data_col -->
</tr><!-- end cell_data_col_row -->
</tbody><!-- end cell_data_col -->
</table><!-- end cell_data_col -->
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</tbody><!-- end cell_data_row -->
</table><!-- end cell_data_col -->
</tbody><!-- end cell_data_row -->
</tbody><!-- end data_cell -->
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</tbody<!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row --> <!--end row -->
<table cellspacing= '0' cellpadding= '0' border= '0'>
<tr cellspacing= '0' cellpadding= '0' border= '0'>
<table cellspacing= '0' cellpadding= '0' border= '0'>
<tr cellspacing= '0' cellpadding= '0' border= '0'>
<table cellspacing= '0' cellpadding= '0' border= '0'>
<tr cellspacing= '0' cellpadding= '0' border= '0'>
<table cellspacing= '0' cellpadding= '0' border= '0'>
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<table cellspacing= '0' cellpadding= '0' border= '0'>
<tr cellspacing= '0' cellpadding= '0' border= '0'>
<table cellspacing= '
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2. Do you personally use a mobile phone? How many mobile phones with different telephone numbers do you use at least once a month? Please include any phones used for work or other purposes. (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>1947 519</td>
<td>810 401</td>
<td>451 326</td>
<td>615 461</td>
<td>1122 751 534 660</td>
<td>2023 1916 233 301</td>
<td>489 376 74 301</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1167</td>
<td>1308 343</td>
<td>869 317</td>
<td>388 583</td>
<td>720 580 661</td>
<td>2236 233 84% 9%</td>
<td>724 738</td>
<td>8% 5%</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364</td>
<td>945 469</td>
<td>927 317</td>
<td>280 260</td>
<td>12% 27%</td>
<td>27% 25%</td>
<td>84% 9%</td>
</tr>
<tr>
<td>No (0.0)</td>
<td>49% 51% 2% 3%</td>
<td>14% 18% 34% 35%</td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>()(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%)
<br>()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()()
<br>()()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)()(%)
<table>
<tr>
<th rowspan="2">No (0.0)</th>
<th rowspan="2">Total No (0.0)</th>
<th rowspan="2">GENDER MALE FEMALE</th>
<th rowspan="2">AGE GROUP UNDER 16-24 25-34 35-54 55+</th>
<th rowspan="2">HOUSEHOLD INCOME E1.9K £17.9K £29.9K E30K+</th>
<th rowspan="2">SOCIAL GROUP C1 C2 DE ENG LAND SCOT LAND WALES NI</th>
<th rowspan="2">NATION</th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="8"></th>
<th colspan="6" style=""></table
<table border='none'>
<tr style='background-color: #eaeaea;'>
<span style='font-size: large;'>Table 30</span> </span>
<span style='font-size: small;'>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</span>
<span style='font-size: small;'>QD2. Do you personally use a mobile phone? How many mobile phones with different telephone numbers do you use at least once a month? Please include any phones used for work or other purposes. (SINGLE CODE)</span>
<span style='font-size: small;'>Mean mobles used:</span>
<span style='font-size: small;'>Standard deviation:</span>
<span style='font-size: small;'>Standard error:</span>
<span style='font-size: small;'>Columns Tested:</span>
<span style='font-size: small;'>a.b.-c.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</span>
<span style='font-size: small;'>Prepared by Saville Rossler Base - OI727 B99 399</span>
<span style='font-size: small;'>Table header:</span>
<span style='font-size: small;'>Ofcom Nations & Regions Tracker - Main Set - H1 2016. Fourth January to Nineteenth February 2016.</span>
<span style='font-size: small;'>Table footer:</span>
<span style='font-size: small;'>Mean mobles used:</span>
<span style='font-size: small;'>Standard deviation:</span>
<span style='font-size: small;'>Standard error:</span>
<span style='font-size: small;'>Columns Tested:</span>
<span style='font-size: small;'>a.b.-c.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</span>
<span style='font-size: small;'>Prepared by Saville Rossler Base - OI727 B99 399</span>
<span style='font-size: small;'>Table header:</span>
<span style='font-size: small;'>Ofcom Nations & Regions Tracker - Main Set - H1 2016. Fourth January to Nineteenth February 2016.</span>
<span style='font-size: small;'>Table footer:</span>
<span style='font-size: small;'>Mean mobles used:</span>
<span style='font-size: small;'>Standard deviation:</span>
<span style='font-size: small;'>Standard error:</span>
<span style='font-size: small;'>Columns Tested:</span>
<span style='font-size: small;'>a.b.-c.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</span>
<span style='font-size: small;'>Prepared by Saville Rossler Base - OI727 B99 399</span>&nb
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2. Do you personally use a mobile phone? How many mobile phones with different telephone numbers do you use at least once a month? Please include any phones used for work or other purposes. (SINGLE CODE)
Base: All respondents
<table>
<thead>
<tr>
<td></td>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.5K</td>
<td>£11.5K- £17.5K</td>
<td>£17.5K- £29.9K</td>
<td>£30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
<tr>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
<td>r</td>
</tr>
<tr>
<td></td>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Effective Weighted Sample<br>PERSOANLLY USE MOBILE<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<page_number>Table 30<page_number>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th></th>
<th>Total MALE FEMALE 16-24 25-34 35-54 55+ UNDER £11.5K £17.5K £29.9K £30K+ HOUSEHOLD INCOME SOCIAL GROUP ENG LAND SCOT LAND WALES NI PERSONALLY USE MOBILE Yes No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESNONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONOONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON ON O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
Columns Tested: a-b-c.d.e.f-g.h.i-j-k.l.m.n-o.p.q.r
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2. Do you personally use a mobile phone? How many mobile phones with different telephone numbers do you use at least once a month? Please include any phones used for work or other purposes. (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBANITY</th>
<th>RURAL</th>
<th>WORKING</th>
<th>DEPRIVATION LEVEL*</th>
<th>MEDIUM*</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1026</td>
<td>1861</td>
<td>1803</td>
<td>1792<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082</td>
<td>456<br>1294<br>1256<br>1218<br> </td>
<td> </td> <table style="border-collapse: collapse;">
<tbody style="border-collapse: collapse;">
<tr style="border-collapse: collapse;">
<th colspan="4">Total 3737 249 251 247 250 251 237 252 251 251 2711 1026 1861 1803 1792<br> </th>
<tr style="border-collapse: collapse;">
<th colspan="4">Unweighted total 3737 249 251 247 250 251 237 252 251 251 2711 1026 1861 1803 1792<br> </th>
<tr style="border-collapse: collapse;">
<th colspan="4">Effective Weighted Sample 2504 221 237 237 233 233 225 231 232 231 2082 456<br> </th>
<tr style="border-collapse: collapse;">
<th colspan="4">Weighted sample (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6) (n=6)</th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4"> </th>
<tr style="border-collapse: collapse;">
<th colspan="4">&nb
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2. Do you personally use a mobile phone? How many mobile phones with different telephone numbers do you use at least once a month? Please include any phones used for work or other purposes. (SINGLE CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample PERSONALLY USE MOBILE</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2882</td>
<td>456</td>
<td>1294</td>
<td>1256</td>
<td>1218</td>
<td>1321</td>
</tr>
<tr>
<td>Yes PERSONALLY USE MOBILE</td>
<td>2494<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>93%</td>
<td>94%</td>
<td>94%</td>
<td>93%</td>
<td>80%</td>
<td>94%</td>
<td>96%</td>
<td>91%</td>
<td>95%</td>
<td>93%</td>
<td>94%</td>
<td>98%</td>
<td>87%</td>
<td>93%</td>
<td>94%</td>
<td></td>
</tr>
<tr style="background-color: #f0f0f0;">
<td>No PERSONALLY USE MOBILE<br>a b c d e f g h i j k l m n o<br></table>
Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
Prepared by Saville Rossiter Base : 01727 899 599 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 31
QD3 (QD10). Which mobile network do you use most often? (SINGLE CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>E1T.5K+ E17.5K+ E29.9K+ E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x m y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p q r t u v w x y z p g</td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>Unweighted total</th>
<th>Effective Weighted Sample</th>
<th>Total</th>
<th>E/E Everything Everywhere</th>
<th>C2</th>
<th>Vodafone</th>
<th>3'</th>
<th>Tesco</th>
<th>Virgin Media/ Any Virgin</th>
<th>Columns Tested: a-b-c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th><br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/
/></table>
<table style="width:100%; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total</td><td style="text-align: right;">3425</td><td style="text-align: right;">3218</td><td style="text-align: right;">2484</td><td style="text-align: right;">578</td><td style="text-align: right;">263</td><td style="text-align: right;">48%<br/>23%</td><td style="text-align: right;">47%</td><td style="text-align: right;">548</td><td style="text-align: right;">28%<br/>22%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>18%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</td><td style="text-align: right;">48%<br/>19%</ td colspan="2" rowspan="2" style="border-top-style:none;border-bottom-style:none;border-left-style:none;border-right-style:none;border-top-width:none;border-bottom-width:none;border-left-width:none;border-right-width:none;padding-top:none;padding-bottom:none;padding-left:none;padding-right:none;"></tr>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<tr class='header_bottom_margin'>
<td colspan='3' align='center'><strong>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</strong></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'>QD3 (QD10). Which mobile network do you use most often? (SINGLE CODE)</tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'>Base : Those who personally use a mobile phone</tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan='3' align='center'></tr><tr class='header_bottom_margin'>
<td colspan '3' align 'center'>Significance Level: 95%</table>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
Table 31
QD3 (QD10). Which mobile network do you use most often? (SINGLE CODE)
Columns Tested: a-b - c.e.f.- g.h.i-j - k.l.m.n - o.p.q-r
<table>
<thead>
<tr>
<td></td>
<td>GENDER</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 +55+</td>
<td>UNDER £11.5K £17.5K £29.9K</td>
<td>EY1.5K EY7.5K EY30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269 1796</td>
<td>513 593 1142 1179</td>
<td>483 365 428 610</td>
<td>710 1059 728 889</td>
<td>2883 451 446 50</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340 398 781</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1204</td>
<td>361 456 895 782</td>
<td>278 240 341 576</td>
<td>668 549 588 2096</td>
<td>211 120 68</td>
</tr>
<tr>
<td>Orange</td>
<td>129 59</td>
<td>71 10 20 42</td>
<td>58 16 13 23</td>
<td>38 29 28 33</td>
<td>104 80 73 15</td>
</tr>
<tr>
<td>T-Mobile</td>
<td>45% <br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
</tr>
<tr>
<td>Lycatel</td>
<td>87<br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
</tr>
<tr>
<td>Giffgaff</td>
<td>59<br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
</tr>
<tr>
<td>TakTalk</td>
<td>49%<br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
</tr>
<tr>
<td>Lycatel</td>
<td>57%<br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
<td><br/> <br/> <br/></td>
</tr>
<tr>
<td>Tak Mobile</td>
<td>48%<br/><span style="color:red;">%</span></td>
<td><span style="color:red;">52%</span><span style="color:red;"> </span><=<span style="color:red;"> </span>>><span style="color:red;"> </span><=<span style="color:red;"> </span>>></span></td>
<td><span style="color:red;"><=<span style="color:red;"> </span>>><span style="color:red;"> </span><=<span style="color:red;"> </span>>></span></span></td>
<td><span style="color:red;"><=<span style="color:red;"> </span>>><span style="color:red;"> </span><=<span style="color:red;"> </span>>></span></span></td>
<table cellspacing="0" cellpadding="0">
<tbody><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr><tr><th colspan="6"><strong>Total:</strong></th></tr>',
<th rowspan='2'>EY7.5K EY30K+</table>
Prepared by Saville Rossler Base: OI727 B99 309 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 31
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD3 (QD10). Which mobile network do you use most often? (£ SINGLE CODE) Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="2">GENDER</td>
<td colspan="2">AGE GROUP</td>
<td colspan="2">HOUSEHOLD INCOME</td>
<td colspan="2">SOCIAL GROUP</td>
<td colspan="2">NATION</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.9K</td>
<td>E17.9K-£29.9K</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>n</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</table><table><tbody><tr><th>3425</th><th>1629</th><th>1796</th><th>513</th><th>591</th><th>1142</th><th>1179</th><th>483</th><th>365</th><th>428</th><th>610</th><th>745</th><th>1059</th><th>728</th><th>889</th><th>2083</th><th>451</th><th>445</th><th>446</th></tr></table><table><tbody><tr><th>Unweighted total</th><th>3425</th><th>1629</th><th>1796</th><th>513</th><th>591</th><th>1142</th><th>1179</th><th>483</th><th>365</th><th>428</th><th>610</th><th>745</th><th>1059</th><th>728</th><th>889</th><th>2083</th><th>451</th><th>445</th><th>446</table><table><tbody><tr><th rowspan="2">Effective Weighted Sample Total 2318 1101 2318 340 391 788 812 329 247 309 457 543 719 498 579 1787 279 273 341 68 2066 211 120 68 8% 8% 5% 3%</table><table><tbody><tr><th rowspan="2">Total Other 2484 1304 2484 48% 52% 14% 18% 36% 31% 11% 10% 14% 23% 27% 28% 22% 24% 84% 8% 5% 3%</table><table><tbody><tr><th rowspan="2">Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other other其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他其他other othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe othe ohe he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he he hehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehiehieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiieihiiei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihei hihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihih ihiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 31**
**QD3 (QD10). Which mobile network do you use most often? (SINGLE CODE)**
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>WYORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>222<br>209<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A bar chart showing the distribution of the "Everything Everywhere" category across different regions and urbanity levels.</img> </table>
EE/ Everything Everywhere <font color="#FF6666"><strong>C3</strong></font>: 8% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% 4% <font color="#FF6666"><strong>C3a</strong></font>: bcfj <font color="#FF6666"><strong>C3b</strong></font>: bcfij <font color="#FF6666"><strong>C3c</strong></font>: bcfij <font color="#FF6666"><strong>C3d</strong></font>: bcfij <font color="#FF6666"><strong>C3e</strong></font>: bcfij <font color="#FF6666"><strong>C3f</strong></font>: bcfij <font color="#FF6666"><strong>C3g</strong></font>: bcfij <font color="#FF6666"><strong>C3h</strong></font>: bcfij <font color="#FF6666"><strong>C3i</strong></font>: bcfij <font color="#FF6666"><strong>C3j</strong></font>: bcfij <font color="#FF6666"><strong>C3k</strong></font>: bcfij <font color="#FF6666"><strong>C3l</strong></font>: bcfij <font color="#FF6666"><strong>C3m</strong></font>: bcfij <font color="#FF6666"><strong>C3n</strong></font>: bcfij <font color="#FF6666"><strong>C3o</strong></font>: bcfij <font color="#FF6666"><strong>C3p</strong></font>: bcfij <font color="#FF6666"><strong>C3q</strong></font>: bcfij <font color="#FF6666"><strong>C3r</strong></font>: bcfij <font color="#FF6666"><strong>C3s</strong></font>: bcfij <font color="#FF6666"><strong>C3t</strong></font>: bcfij <font color="#FF6666"><strong>C3u</strong></font>: bcfij <font color="#FF6666"><strong>C3v</strong></font>: bcfij <font color="#FF6666"><strong>C3w</strong></font>: bcfij <font color="#FF6666"><strong>C3x</strong></font>: bcfij <font color="#FF6666"><strong>C3y</strong></font>: bcfij <font color="#FF6666"><strong>C3z</strong></font>: bcfij
C0: <table border="0">
<thead>
<tr style="background-color: #cccccc;">
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
<th rowspan="8"></th>
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<th rowspan="8"></th>
<th rowspan="8"></th>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">Total:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">LONDON:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">SOUTH EAST:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">SOUTH WEST:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">EAST MIDLANDS:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">WEST MIDLANDS:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">EAST OF ENGLAND:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">NORTH EAST:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">NORTH WEST:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">URBAN:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">RURAL:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">YES:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">NO:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">LOW:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">MEDIUM:</span> </table>
<table border="0">
<tbody>
<tr style="background-color: #cccccc;">
<td style=""><span style="">HIGH:</span> </table>
<table border="" cellspacing="" cellpadding="" width="">
<tr height="" cellspacing="" cellpadding="">
<colgroup width="">
<col width="">
<col width="">
<col width="">
<col width="">
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OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 31**
**QD3 (QD10). Which mobile network do you use most often? (SINGLE CODE)**
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>MEDIUM LOW HIGH o i k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o i j k l m n o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
<td>Unweighted total</table>
<table>
<tr>
<td>3425</table>
<tr>
<td>236</table>
<tr>
<td>235</table>
<tr>
<td>228</table>
<tr>
<td>228</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>
<tr>
<td>217</table>;
<tfoot>
<tr style="background-color: #f0f0f0;">
<th>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </abbr>; <abbr>e.g.</abbr>; <abbr>f.g.</abbr>; <abbr>i.j.k.l.m.n.o.</abbr>; <abbr>p.q.r.s.t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abbr>; <abbr>a.b.c.d.e.f.g.h.i-j.k-l.m-n.o.</abbr>; <abbr>t.u.v.w.x.y.z.</abr
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD3 (QD10). Which mobile network do you use most often? (SINGLE CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>228<br>234<br>227<br>237<br>2485<br>940<br>1825<br>1589<br>1637<br>1788</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318<br>209<br>222<br>218<br>209<br>217<br>217<br>215<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2494<br>13%<br>14%<br>8%<br>7%<br>9%<br>9%<br>8%<br>4%<br>11%<br>86%<br>14%<br>61%<br>39%<br>54%<br>48%</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></TD
<th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></than td=""><table cellspacing='0' cellpadding='0' border='0'>
<tr style='text-align:center;'>
<th style='width: 5%;'>Other</th> <span style='font-size:smaller;'>48%</span> </table> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span> <span style='font-size:smaller;'>48%</span><table cellspacing='0' cellpadding='0' border='0'>
<tr style='text-align:center;'>
<th style='width: 5%;'>Don't know</table>> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >
<th style='width: 5%;'>Don't know<</table><</table>
<table cellspacing='0' cellpadding='0' border='0'>
<tr style='text-align:center;'>
<th style='width: 5%;'>Columns Tested:</table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></thead>
<tbody>
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<table cellspacing 'cellspacing= 'cellpadding= 'border= ''
<th rowspan = ' ' >Total </ th >
<th rowspan = ' ' >LONDON </ th >
<th rowspan = ' ' >SOUTH EAST </ th >
<th rowspan = ' ' >SOUTH WEST </ th >
<th rowspan = ' ' >WEST MIDLANDS </ th >
<th rowspan = ' ' >EAST OF ENGLAND </ th >
<th rowspan = ' ' >YORKSHIRE AND HUMBER </ th >
<th rowspan = ' ' >NORTH EAST </ th >
<th rowspan = ' ' >NORTH WEST </ th >
<th rowspan = ' ' >URBAN </ th >
<th rowspan = ' ' >RURAL </ th >
<th rowspan = ' ' >YES </ th >
<th rowspan = ' ' >NO </ th >
<th rowspan = ' ' >LOW </ th >
<th rowspan = ' ' >MEDIUM- </ th >
<th rowspan = ' ' >HIGH </ th >
<th rowspan = ' ' >LOW </ th >
<th rowspan = ' ' >MEDIUM- </ th >
<th rowspan = ' ' >HIGH </ th >
<th rowspan = ' ' >LOW </ th >
<th rowspan = ' ' >MEDIUM- </ th >
<th rowspan = ' ' >HIGH </ th >
<th rowspan = ' ' >LOW </ th >
<th rowspan = ' ' >MEDIUM- </ th >
<th rowspan = ' ' >HIGH </ th >
<th rowspan = ' ' >LOW </ th >
<th rowspan = ' ' >MEDIUM- </ th >
<th rowspan = ' ' >HIGH </ th >
<th rowspan = ' ' >LOW </ th >
<th rowspan = ' ' >MEDIUM- </ th >
<th rowspan = ' ' >HIGH </ th >
<th rowspan = ' '</ th >
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<th rowspan = '</ th >
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<th rowspan = '</ th >
<th rowspan = '</ th >
<th rowspan = '</ th >
<th rowspan = '</ th >
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```html
<html xmlns:vml="" xmlns:o="" xmlns:w="" xmlns:wml="" xmlns:c="" xmlns:m="" xmlns:r="" xmlns:f=""><body lang="" dir=""><p>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 10 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</p>
<p>QD3 (QD1), Which mobile network do you use most often? (SINGLE CODE)</p>
<p>Base : Those who personally use a mobile phone</p>
<p>Total Unweighted total Effective Weighted Sample Total Other Don't know Columns Tested :</p>
<p>LONDON SOUTH EAST SOUTH WEST WEST MIDLANDS EAST OF ENGLAND YORKSHIRE AND HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW MEDIUM- HIGH LOW Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Lo
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD4 (QD34B). Do you personally use a smartphone? IF UNSURE - A smartphone is a phone on which you can easily access emails, download files and applications, as well as view websites and generally surf the internet. Popular brands of smartphone include BlackBerry, iPhone and Android phones such as the Samsung Galaxy S4.
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £11.5K- £13.5K £13.5K+ £30K+</td>
<td>AB C1 C2 DE</td>
<td>EAST LAND SCOT WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>a b c d e f g h i j k l m n o p q r</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513 591 1142 1178</td>
<td>483 365 429 610 745 1059 728 889 2083 451 445 446</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340 391 788 812</td>
<td>329 247 309 457 543 719 498 579 1787 279 273 341</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2494 1204</td>
<td>1290 361 456 895</td>
<td>782 278 240 341 578 669 688 549 588 2096 211 120 68</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Yes</td>
<td>1896 76%</td>
<td>933 77%</td>
<td>765 62% 60% 84% 49% 60% 65% 82% 89% 81% 78% 75% 69% 76% 72% 78%</td>
<td></td>
<td></td>
</tr>
<tr>
<td>No</td>
<td>596 24%</td>
<td>301<br>23%</td>
<td>238<br>9%</td>
<td>32<br>6%<br>386<br>51%</td>
<td>110<br>4%<br>84<br>3%</td>
<td>60<br>1%</td>
<td>61<br>1%</td>
<td>152<br>3%</td>
<td>138<br>7%</td>
<td>531<br>4%</td>
<td>47<br>3%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndon't know</table>
<table border="0">
<tbody>
<tr style="vertical-align:top;">
<th style="text-align:left;">Columns Tested:</th>
<th style="text-align:left;">a,b,c,d,e,f,g,h,i,j,k,l,m,n-o,p,q,r</th>
<th style="text-align:right;">Total: <span style="color:red;">01727</span> <span style="color:green;">899</span> <span style="color:blue;">399</span> </th>
</tr>
</tbody>
</table>
Prepared by Saville Rossiter Base OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD4 (QD34B). Do you personally use a smartphone? IF UNSURE - A smartphone is a phone on which you can easily access emails, download files and applications, as well as view websites and generally surf the internet. Popular brands of smartphone include BlackBerry, iPhone and Android phones such as the Samsung Galaxy S4.
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/>
<td>Unweighted total</table>
<table cellspacing="0">
<tr>
<td rowspan="2">Total</table>
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
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<td rowspan="2">Total</table>
<table cellspacing="0">
<tr>
<td rowspan "
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QDS (QD39): SHOWCARD Which brand or type of smartphone do you have? IF MORE THAN ONE - Which one do you use most often? (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157 1330</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>589 503 573 193</td>
<td>319 291 281 345</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>908 313 362 667</td>
<td>188 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
</tr>
<tr>
<td>Total</td>
<td>1896 903</td>
<td>329 426 735 385</td>
<td>187 157 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>17% 22%</td>
<td>40% 20%</td>
<td>9% 8%</td>
<td>19% 27%</td>
<td></td>
</tr>
<tr>
<td>Apple iPhone</td>
<td>865 397</td>
<td>180 201</td>
<td>362 122</td>
<td>63 63</td>
<td>123 278</td>
<td></td>
</tr>
<tr>
<td></td>
<td>46% 44%</td>
<td>47% 55%</td>
<td>47% 32%</td>
<td>32% 40%</td>
<td>44% 54%</td>
<td></td>
</tr>
<tr>
<td>Samsung</td>
<td>606 287</td>
<td>318 88</td>
<td>145 228</td>
<td>148 65</td>
<td>97 135</td>
<td></td>
</tr>
<tr>
<td></td>
<td>32% 32%</td>
<td>26% 34%</td>
<td>30% 39%</td>
<td>39% 36%</td>
<td>34% 26%</td>
<td></td>
</tr>
<tr>
<td>Nokia</td>
<td>101 46</td>
<td>55 11</td>
<td>17 36</td>
<td>37 10</td>
<td>21 22</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ncde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde cde c de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.de.</table>
Columns Tested: a-b-c.d.e-f-g.h.i-j-k.l.m-n-o.p.q.r
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan="1">Total
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="1" rowspan "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
<th colspan= "Table"
```html
<html>
<head>
<title>Data Analysis Report for OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. </title>
<style>
table {
border-collapse: collapse;
width: auto;
}
th, td {
border: none;
padding: .5em;
text-align: center;
}
tr:nth-child(even) {
background-color: #f2f2f2;
}
tr:hover {
background-color: #eaeaea;
}
</style>
<script>
function toggleRowVisibility() {
var rows = document.querySelectorAll("tbody tr");
for (var i = rows.length - 1; i >= rows.length / 2; i--) {
rows[i].style.display = rows[i].style.display === 'none' ? 'block' : 'none';
}
}
</script>
<script>
function toggleColumnVisibility() {
var columns = document.querySelectorAll("thead th");
for (var i = columns.length - 1; i >= columns.length / 2; i--) {
columns[i].style.display = columns[i].style.display === 'none' ? 'block' : 'none';
}
}
</script>
<script>
function toggleAllRows() {
var rows = document.querySelectorAll("tbody tr");
for (var i = rows.length - 1; i >= rows.length / 2; i--) {
rows[i].style.display = 'none';
}
}
</script>
<script>
function toggleAllColumns() {
var columns = document.querySelectorAll("thead th");
for (var i = columns.length - 1; i >= columns.length / 2; i--) {
columns[i].style.display = 'none';
}
}
</script>
<script>
function toggleAllRowsAndColumns() {
toggleAllRows();
toggleAllColumns();
}
</script>
<script>
function toggleRowAndColumnVisibility() {
var row = document.querySelector("tbody tr");
if (row.style.display === 'none') {
row.style.display = 'block';
toggleColumnVisibility();
} else {
row.style.display = 'none';
toggleAllColumns();
}
}
</script>
<script>
function toggleRowAndColumnVisibilityForAll() {
var rows = document.querySelectorAll("tbody tr");
for (var i = rows.length - 1; i >= rows.length / 2; i--) {
if (rows[i].style.display === 'none') {
rows[i].style.display = 'block';
toggleColumnVisibility();
} else {
rows[i].style.display = 'none';
toggleAllColumns();
}
}
}
</script>
<script>
function toggleRowAndColumnVisibilityForAllExceptFirst() {
var rows = document.querySelectorAll("tbody tr");
for (var i = rows.length - 2; i >= rows.length / 2; i--) {
if (rows[i].style.display === 'none') {
rows[i].style.display = 'block';
toggleColumnVisibility();
} else {
rows[i].style.display = 'none';
toggleAllColumns();
}
}
}
</script>
<script>
function toggleRowAndColumnVisibilityForAllExceptLast() {
var rows = document.querySelectorAll("tbody tr");
for (var i = rows.length - 2; i >= rows.length / 2; i--) {
if (rows[i].style.display === 'none') {
rows[i].style.display = 'block';
toggleColumnVisibility();
} else {
rows[i].style.display = 'none';
toggleAllColumns();
}
}
}
</script>
<script>
function toggleRowAndColumnVisibilityForAllExceptMiddle() {
var rows = document.querySelectorAll("tbody tr");
for (var i = rows.length - (rows.length / 2); i >= rows.length /
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QDS (QD39): SHOWCARD Which brand or type of smartphone do you have? IF MORE THAN ONE - Which one do you use most often? (SINGLE CODE)
Table 33
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.9K</td>
<td>E11.9K-£17.9K</td>
<td>E17.9K-£29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>x</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>p</td>
<td>o</td>
<td>t</td>
<td>r</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487<br>1157<br>1330<br>475<br>540<br>937<br>328<br>223<br>340<br>535<br>589<br>803<br>520<br>573<br>1532<br>319<br>291<br>345</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>xk</td>
<td>mz</td>
<td>nq<br>pj<br>rj<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br>sx<br>tq<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></br><br/></bru> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> .</table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<th colspan="16">Columns Tested: a.b·c.d.e.f·g.h.i.j·k.l.m.n·o.p.q.r
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total</th>
<th rowspan="2">GENDER MALE FEMALE 16-24 25-34 35-54 55+ AGE GROUP UNDER £11.9K £11.9K-£17.9K £17.9K-£29.9K E30K+ HOUSEHOLD INCOME SOCIAL GROUP NATION AB C1 C2 DE ENG LAND SCOT LAND WALES NI
</table>
```
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Significance Level: 95%</th>
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Total
table断行符。
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QDS (QD39). SHOWCARD Which brand or type of smartphone do you have? IF MORE THAN ONE - Which one do you use most often? (SINGLE CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>MEDIUM LOW HIGH o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201 164 166 162 172 168 175 156 188 1841 646 1559 921 1175</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>1312</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180 155 159 151 160 160 163 145 154 1432 300 1094 838 818</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>912</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>243 245 156 126 168 177 164 74 209 1651 245 1314 574 1004</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>892</td><td></td><td></td>
</tr>
<tr><td colspan="3">Apple iPhone<br>865<br>40%</td><td>73%<br>4%<br>5%<br>4%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%</td><td>82<br>82<br>82<br>82<br>82<br>82<br>82<br>82<br>82<br>82<br>82<br>82</td><td>39%<br>39%<br>39%<br>39%<br>39%<br>39%<br>39%<br>39%<br>39%<br>39%<br>39%<br>39%</td><td>45%<br>45%<br>45%<br>45%<br>45%<br>45%<br>45%<br>45%<br>45%<br>45%<br>45%<br>45%</td><td>47%<br>47%<br>47%<br>47%<br>47%<br>47%<br>47%<br>47%</td><td colspan="2">a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J 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BCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKLNMOPQRSTUVWXYZABCDEFGHIJKL NM OP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UV WXYZ ABC DE FG HI JK LM NOP QR ST UVWXZYZABCD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHIJ KL MN OPQRSTU VWX XYZ AB CD EF GHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDEFGHJIKLMNOPQRS TVWXZYZABCDDEFHJIKLNOMPQRTSVWXXYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNOPTVRSWXXYYZZA BCDEFGHHIJKLMNO PTVRSW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIK LLMN OMPO RT SVWW XX YY ZZ AA BBCC DEF GGH IIIKLMMNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSVWWWXYXYZAABCDFFGGIIHKLLMNNOMPQRTSV WWW XY ZX AZ AC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAA BBC DF EG HH IK LI MM NO PO QT RS WV WW XXX YYYY AAABBCDFEGHGIII-JKL-M-N-O
Columns Tested: a,b,c,d,e,f,g,h,i,j,k-l,m-n-o
Total
Unweighted total
Effective Weighted Sample
Samsung
HTC
BlackBerry
Motorola
<table style="width: auto;">
<thead style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Total</th><th style="text-align: left;">Significance Level: 95%</th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></th><th style="text-align: left;"></thal
<tr class=""><style>.table_header { background-color: #f0f0f0; font-weight:bold; } </style><tr class="table_header">
<th colspan='2' align='left'>Total<//></tr>
<tr class=''>
<style>.table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border-bottom-color : #cccccc; } .table_data { border-bottom-width : thin; border-bottom-style : solid; border
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 33
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QDS (QD39). SHOWCARD Which brand or type of smartphone do you have? IF MORE THAN ONE - Which one do you use most often? (SINGLE CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201<br>164<br>166<br>162<br>172<br>168<br>175<br>156<br>188<br>1841<br>646<br>1559<br>921<br>1175<br>1312<br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong> <strong><</strong> <strong>></strong>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub>s.s.</sub>s.s.<sub<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*h*
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD6 (QD41). Do you have a 4G service? This is a service that enables faster mobile internet access. Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>UNDER 16-24 25-34 35-54 55+</td>
<td>E11.5K E17.5K E29.5K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOTLAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157</td>
<td>1330 475</td>
<td>540 937 535 286 223 340 535 589 803 520 573 1532 319 291 345</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>908 313</td>
<td>362 657 383 198 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1896 903</td>
<td>993 329</td>
<td>426 735 385 187 157 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
<td></td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>17% 22%</td>
<td>40% 20%</td>
<td>9% 8%</td>
<td>19% 27%</td>
<td>84% 9%</td>
<td></td>
</tr>
<tr>
<td>Yes</td>
<td>1275<br>618<br>67%</br><br>68%</br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></br><br></bru...<tbody>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_number>01727 B99 399</page_number>|<page_number>m|<page_number>i|<page_number>j|<page_number>k|<page_number>L|<page_number>M|<page_number>N|<page_number>O|<page_number>P|<page_number>Q|<page_number>R|<page_number>S|<page_number>T|<page_number>U|<page_number>V|<page_number>w|<page_number>x|<page_number>y|<page_number>Z|<page_number>A|<page_number>B|<page_number>C|<page_number>D|<page_number>E|<page_number>F|<page_number>G|<page_number>H|<page_number>I|<page_number>J|<page_number>K|<page_number>L|M|N|O|P|R|S|T|U|V|W|X|Y|Z<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_number>01727 B99 399</page_number>|<page_number>m|<page_number>i|<page_number>j|<page_number>k|<page_number>L|<page_number>M|<page_number>N|<page_number>O|<page_number>P|<page_number>Q|<page_number>R|<page_number>S|<page_number>T|<page_number>U|<page_number>V|<page_number>w|<page_number>x|<page_sign>|y|x<y>|z<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_number>01727 B99 399</page_number>|<page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <page_sign>|m|i<j>|k<l|m>n<br/></table>
<table>
<tr style="border-top: double;">
<td colspan="7" style="text-align: center;">Columns Tested: a,b,-c,d,e,f-g,h,i,j-k,l,m,n-o,p,q,r,s,t,u,v,w,x,y,z<br/>Prepared by Saville Rossiter Base : <watermark>Saville Rossiter Base | OI727 B99 | IJ | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI | KLMN | OPQR | IM | OI ...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote at weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD6 (QD41). Do you have a 4G service? This is a service that enables faster mobile internet access. Base: Those with a smartphone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN RURAL</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH n o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201</td>
<td>164</td>
<td>166</td>
<td>162</td>
<td>172</td>
<td>168</td>
<td>175</td>
<td>156</td>
<td>188</td>
<td>1841</td>
<td>646 1569 921 1175 1312</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180</td>
<td>155</td>
<td>159</td>
<td>151</td>
<td>160</td>
<td>163</td>
<td>145</td>
<td>154</td>
<td>1432</td>
<td>300 1094 838 818 912</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>275</td>
<td>243</td>
<td>156</td>
<td>126</td>
<td>168</td>
<td>177</td>
<td>164</td>
<td>74</td>
<td>209</td>
<td>1651 245 87% 13% 80% 30% 53% 47%</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Yes<br>(67%)<table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">Yes<br>(67%)<table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">Total<br>(275)</th> </th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">LONDON<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">a<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">b<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">c<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">d<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">e<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">f<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">g<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">h<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">i<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">j<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="text-align:center;">k<br>(243)</th> <table border="0" cellpadding="0" cellspacing="0">
<tr style="height: auto;">
<th style="">l<br>(243)</th> <table border="" cellpadding="" cellspacing="" height="" width="">
<tr style=""><th colspan="">l<br>(243)</th> </tr></table></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr></tr/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr>
<th rowspan="">Total (275)<div align=center>
<table border= "border"><tbody>
<tr
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD7 (QD27). SHOWCARD How likely is it that you will get a smartphone in the next 12 months? (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £17.5K £29.9K</td>
<td>£17.5K £29.9K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>931 468</td>
<td>482 38 50 203 640</td>
<td>198 141</td>
<td>88 74</td>
<td>156 253 208 313 486 134 151 80</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>615 303</td>
<td>312 28 29 131 430</td>
<td>129 93</td>
<td>61 52</td>
<td>117 170 131 202 469 80 92 75</td>
</tr>
<tr>
<td>Total</td>
<td>596 301</td>
<td>296 32 29 139 366</td>
<td>110 84</td>
<td>60 61</td>
<td>130 152 136 179 501 47 33 15</td>
</tr>
<tr>
<td>Certain to</td>
<td>7 3</td>
<td>4 ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** </td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr>
<tr>
<td>Very likely</td>
<td>26 9</td>
<td>17 *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ******<br/></tr>
<tr>
<td>Likely</td>
<td>63<br/>11%</br/></tr>
<tr>
<td>TOTAL LIKELY</table>
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<!-- Table -->
```html
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML//EN" "http://www.w3.org/TR/html4/strict.dtd">
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Table Example</title>
<style type="text/css">
table {
border-collapse: collapse;
width: 100%;
}
th, td {
border: 1px solid black;
padding: 8px;
text-align: left;
}
th {
background-color: #f2f2f2;
}
tr:nth-child(even) {
background-color: #f9f9f9;
}
</style>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script type="text/javascript">
$(document).ready(function() {
$('#myTable').DataTable();
});
</script>
<link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/1.10.25/css/jquery.dataTables.min.css">
<script type="text/javascript" src="https://cdn.datatables.net/1.10.25/js/jquery.dataTables.min.js"></script>
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<script type="text/javascript" src="https://cdn.datatables.net/buttons/2.2.4/js/buttons.html5.min.js"></script>
<script type="text/javascript" src="https://cdn.datatables.net/buttons/2.2.4/js/buttons.print.min.js"></script>
<script type="text/javascript" src="https://cdn.datatables.net/buttons/2.2.4/js/buttons.colVis.min.js"></script>
<script type="text/javascript" src="https://cdn.datatables.net/responsive/2.2.4/js/dataTables.responsive.min.js"></script>
<script type="text/javascript" src="https://cdn.datatables.net/select/1.5.0/js/dataTables.select.min.js"></script>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 35
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD7 (QD27). SHOWCARD How likely is it that you will get a smartphone in the next 12 months? (SINGLE CODE) Base: Those without a smartphone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.9K</td>
<td>£11.9K-£17.9K</td>
<td>£17.9K-£29.9K</td>
<td>£29.9K+<br>E30K+</td>
<td>AB<br>C1<br>C2<br>C3<br>C4<br>C5<br>C6<br>C7<br>C8<br>C9<br>C10<br>C11<br>C12<br>C13<br>C14<br>C15<br>C16<br>C17<br>C18<br>C19<br>C20<br>C21<br>C22<br>C23<br>C24<br>C25<br>C26<br>C27<br>C28<br>C29<br>C30<br>C31<br>C32<br>C33<br>C34<br>C35<br>C36<br>C37<br>C38<br>C39<br>C40<br>C41<br>C42<br>C43<br>C44<br>C45<br>C46<br>C47<br>C48<br>C49<br>C50</td>
<td>ENG LAND SCOTLAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
</tr>
<tr>
<td>Unweighted total</td>
<td>931</table>
<table>
<thead>
<tr>
<th>Effective Weighted Sample</th>
<th>Total</th>
<th>596</table>
<table>
<thead>
<tr>
<th>TOTAL UNLIKELY</th>
<th>416</table>
<table>
<thead>
<tr>
<th>Don't know</th>
<th>83</table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
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<th colspan="3">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th>
<th colspan="3">Table 35</th>
<th colspan="3">All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</th>
<th colspan="3">QD7 (QD27). SHOWCARD How likely is it that you will get a smartphone in the next 12 months? (SINGLE CODE)</th>
<th colspan="3">Base: Those without a smartphone</th>
<th colspan="3">Significance Level: 95%</th>
<th colspan="3">Total</th>
<th colspan="3">Unweighted total</th>
<th colspan="3">Effective Weighted Sample</th>
<th colspan="3">Total</th>
<th colspan="3">TOTAL UNLIKELY</th>
<th colspan="3">Don't know</th>
<th colspan="3">Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r</th>
<th colspan="3">Significance Level: 95%</th>
<th colspan="3">Total</th>
<th colspan="3">Unweighted total</th>
<th colspan="3">Effective Weighted Sample</th>
<th colspan="3">Total</th>
<th colspan="3">TOTAL UNLIKELY</th>
<th colspan="3">Don't know</th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
<th colspan="3"></th>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 35
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD7 (QD27). SHOWCARD How likely is it that you will get a smartphone in the next 12 months? (SINGLE CODE)
Base: Those without a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>MEDIUM LOW</th>
<th>MEDIUM HIGH</th>
<th>HIGH LOW</th>
<th>HIGH O</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>931</td>
<td>35</td>
<td>70</td>
<td>62</td>
<td>62</td>
<td>60</td>
<td>58</td>
<td>71</td>
<td>69</td>
<td>841</td>
<td>290</td>
<td>263</td>
<td>664</td>
<td>459</td>
<td>472</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>615</td>
<td>29</td>
<td>67</td>
<td>59</td>
<td>58</td>
<td>57</td>
<td>52</td>
<td>65</td>
<td>64</td>
<td>495</td>
<td>128</td>
<td>174</td>
<td>449</td>
<td>306</td>
<td>325</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>596</td>
<td>43</td>
<td>93</td>
<td>55</td>
<td>45</td>
<td>55</td>
<td>58</td>
<td>47</td>
<td>30</td>
<td>76</td>
<td>502</td>
<td>94</td>
<td>201</td>
<td>393</td>
<td>338</td><td>259<br/>43%</br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br><table cellspacing="0" cellpadding="0">
<thead><tr><th rowspan="2"></th><th rowspan="2">Certain to get a smartphone in the next 12 months?</th><th rowspan="2">Likely to get a smartphone in the next 12 months?</th><th rowspan="2">Very likely to get a smartphone in the next 12 months?</th><th rowspan="2">Likely to get a smartphone in the next 12 months?</th><th rowspan="2">Very likely to get a smartphone in the next 12 months?</th><th rowspan="2">Certain not to get a smartphone in the next 12 months?</th><th rowspan="2">Likely not to get a smartphone in the next 12 months?</th><th rowspan="2">Very unlikely not to get a smartphone in the next 12 months?</th><th rowspan="2">Unlikely not to get a smartphone in the next 12 months?</th><th rowspan="2">Certain not to get a smartphone in the next 12 months?</th><th rowspan="2">Likely not to get a smartphone in the next 12 months?</th><th rowspan="2">Very unlikely not to get a smartphone in the next 12 months?</th><th rowspan="2">Unlikely not to get a smartphone in the next 12 months?</th><th rowspan="2">Columns Tested: a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y ЗA BC DE FGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR 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ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJKL MNOPQR STUVWXYZ ABCDEFGHIJ KLMN OP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LM NOP QRST UV WXYZ AB CD EF GHIJ KL LMNOPQ RS TSU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTU VWXZYABCD EG HIJJKLMN OPQRSTUUWVXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVWXYZA BCDEFGHJIJKLMLMNOPTSRUTVW XYZEBCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUSVTWXYZABCDFEGHIIJKLMNNOPSRTUS VTXYZABCDEGHHIJKLMNNOPSRTUSVTWXYZABCDEGHHIJKLMNNOPSRTUSVTWXYZABCDEGHHIJKLMNNOPSRTUS VTXYZABCDEGHHIJKLMNNOPSRTUS VTXYZABCDEGHHIJKLMNNOPS RT US VTXYZABCDEGHHIJKLM NN OPS RT US VTXYZABCDEGHHIJKLM NN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VTXYZABCDEGHHI JKLLMN OPS RT US VT XYZAC DEGF HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH II JM LN NO PS RTS UT SV TW XYZZA BCE DF EE GG HH IIJM LLNM NS OTS VRTS TV SW XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt Us Tv Tw XXYY ZZAA CE DE FG Hi JJ Ki LL Mn No Ps Rt UsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY ZZ AACE DEF GIHi JL MLNoPSRtUsTvTwXX YY QQ
<table cellspacing="0" cellpadding="0">
<thead><tr><th rowspan="2"></th><th rowspan="2">Total Unweighted total Effective Weighted Sample Total Likely Very unlikely Certain not to Likely not to get a smartphone in the next 12 months? Very unlikely not to get a smartphone in the next 12 months? Certain not to get a smartphone in the next 12 months? Likely not to get a smartphone in the next 12 months? Very unlikely not to get a smartphone in the next 12 months? Certain not to get a smartphone in the next 12 months? Likely not to get a smartphone in the next 12 months? Very unlikely not to get a smartphone in the next 12 months? Certain not to get a smartphone in the next 12 months? Likely not to get a smartphone in the next 12 months? Very unlikely not to get a smartphone in the next 12 months? Certain not to get a smartphone in the next 12 months? Likely not to get a smartphone in the next 12 months? Very unlikely not to get a smartphone in the next 12 months? Certain not to get a smartphone in the next 12 months? Likely not to get a smartphone in the next 12 months? Very unlikely not to get a smartphone in the next 12 months? Certain not to get a smartphone in the next 12 months
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 35
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD7 (QD27). SHOWCARD How likely is it that you will get a smartphone in the next 12 months? (SINGLE CODE)
Base: Those without a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>k<br>i<br>m<br>n<br>o<br>p<br>q<br>r<br>s<br>t<br>u<br>v<br>w<br>x<br>y<br>z<br>A<br>B<br>C<br>D<br>E<br>F<br>G<br>H<br>I<br>J<br>K<br>L<br>M<br>N<br>O<br>P<br>Q<br>R<br>S<br>T<br>U<br>V<br>W<br>X<br>Y<br>Z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
</tr>
<tr>
<td>Unweighted total</td>
<td>931</td>
<td>35</td>
<td>70</td>
<td>62</td>
<td>62</td>
<td>62</td>
<td>60</td>
<td>58</td>
<td>71</td>
<td>69</td>
<td>841</td>
<td>290</td>
<td>263</td>
<td>664</td>
<td>459</br>472</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
</br>472
<tfoot class="tfoot">
<tr style="background-color: #f0f0f0;">
<td colspan="33" style="text-align: center;">TOTAL UNLIKELY 416 70%</tfoot class="tfoot">
<tr style="background-color: #f0f0f0;">
<td colspan="33" style="text-align: center;">** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** **
** 81% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8%
** i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i <tfoot class="tfoot">
<tr style="background-color: #f0f0f0;">
<td colspan="33" style="text-align: center;">Don't know 83 14%</tfoot class="tfoot">
<tr style="background-color: #f0f0f0;">
<td colspan="33" style="text-align: center;">** * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* k m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m <tfoot class="tfoot">
<tr style="background-color: #f0f0f0;">
<td colspan="33" style="text-align: center;">Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q8D (QD11). SHOWCARD Which of these best describes the mobile package you personally use most often? (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>710 749 719 498</td>
<td>2893 2883 1787 279</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>3218 300 391 788</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>279 273 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>361 456 895 782</td>
<td>278 240 341 576</td>
<td>668 549 588 2096</td>
<td>211 120 68 5%</td>
</tr>
<tr>
<td>Prepay/ Pay as you go</td>
<td>722 370</td>
<td>352 73 77 189</td>
<td>383 146 87 73</td>
<td>83 154 163 240</td>
<td>597 66 36 23</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td>Paid up/monthly contract</td><td>1757<br>825<br>70%</br>68%</br>Other<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="3">CONTRACT TYPE</th>
<th colspan="3">SIM only</th>
<th colspan="3">Columns Tested: a-b: c,d,e,f-g,h,j-k,l,m,n-o,p,q,r</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th>
<th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=999)</th><th colspan="3">Total (N=9)
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q8D (QD11). SHOWCARD Which of these best describes the mobile package you personally use most often? (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>228<br>219<br>218<br>209<br>207<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>e f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td>
<td>f g h i j k l m n o p q r s t u v w x y z</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\rd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_number>\r\nd<page_number>TABLE 36<page_numbers="">
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 37
QD9 (QD11A). When you signed up for your current mobile contract did you get a handset with the contract or did you only get a SIM card? (SINGLE CODE)
Base: Those who use a postpay/contract mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.9K E17.9K E29.9K</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2286 1044</td>
<td>1222 386 467 861</td>
<td>552 224 200 324</td>
<td>514 555</td>
<td>767 481 462</td>
<td>1423 277 277</td>
<td>288</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1577 729</td>
<td>848 285 318 608</td>
<td>393 155 145 238</td>
<td>385 406</td>
<td>532 340 314</td>
<td>1230 179 175</td>
<td>219</td>
</tr>
<tr>
<td>Total</td>
<td>1757 825</td>
<td>933 287 377 700</td>
<td>393 131 153 268</td>
<td>488 509</td>
<td>520 383 344</td>
<td>1485 145 82</td>
<td>45</td>
</tr>
<tr>
<td></td><td></td><td>47% 53%</td><td>16% 21% 40% 22%</td><td>7% 9% 15% 28%</td><td>29% 30% 22% 20%</td><td>85% 8% 5% 3%</td><td></td>
</tr>
<tr>
<td>Handset and contract</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td></td><td>1491 689</td><td>802 252</td><td>342 586</td><td>310 106</td><td>123 228</td><td>430 426</td><td>451 324</td><td>289 124</td><td>67 41</td>
</tr>
<tr>
<td></td><td>85% 84%</td><td>86% 88%</td><td>91% 94%</td><td>87% 89%</td><td>81% 81%</td><td>85% 86%</td><td>84% 87%</td><td>85% 86%</td><td>91% </td><td></table>
<table cellspacing="0">
<thead>
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th><table cellspacing="0" style="border-collapse: collapse;">
<tbody style="border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">SIM card only:</table>
<table cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></th><th style="text-align: center;"></table>
<table cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Don't know:</table>
<table cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Columns Tested:</table>
<table cellspacing="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">a-b-c-d-f-g-h-i-j-k-l-m-n-o-p-q-r:</table>
<table cellspacing="0" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing= "none" border=none width=100% height=auto align=center>
<table cellspacing=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD9 (QD11A). When you signed up for your current mobile contract did you get a handset with the contract or did you only get a SIM card? (SINGLE CODE)
Base: Those who use a postpay/ contract mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST ENG</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2266</td>
<td>190<br>159<br>148<br>154<br>150<br>164<br>164<br>142<br>152<br>1697<br>569<br>1459<br>801<br>1072<br>1194</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> <img>A bar chart showing the distribution of handset ownership across different regions in England.</img> </table>
<table>
<thead>
<tr>
<th>Handset and contract</th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST ENG</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
<tr>
<td rowspan="2">SIM card only</td>
<td rowspan="2">247<br>38<br>14%</table>
<table>
<table>
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<table>
<!-- Table 37 -->
```html
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Data Table 37: OFCOM Nations & Regions Tracker - Main Set - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD9 (QD11A). When you signed up for your current mobile contract did you get a handset with the contract or did you only get a SIM card? (SINGLE CODE)
Base: Those who use a postpay/ contract mobile phone
</title
<style type="text/css">
table {
border-collapse: collapse;
width: 100%;
}
th, td {
border: 1px solid black;
padding: 5px;
text-align: center;
}
th {
background-color: #f2f2f2;
}
tr:nth-child(even) {
background-color: #e6e6e6;
}
tr:hover {
background-color: #ddd;
}
</style
<script type="text/javascript">
function toggleTable() {
var table = document.getElementById("table");
if (table.style.display === "none") {
table.style.display = "block";
} else {
table.style.display = "none";
}
}
</script
<body onload="toggleTable()">
````
```json
[
{"name": "Total", "value": "Total"},
{"name": "LONDON", "value": "LONDON"},
{"name": "SOUTH EAST", "value": "SOUTH EAST"},
{"name": "SOUTH WEST", "value": "SOUTH WEST"},
{"name": "EAST MIDLANDS", "value": "EAST MIDLANDS"},
{"name": "EAST ENG", "value": "EAST ENG"},
{"name": "YORKSHIRE AND HUMBER", "value": "YORKSHIRE AND HUMBER"},
{"name": "NORTH EAST", "value": "NORTH EAST"},
{"name": "NORTH WEST", "value": "NORTH WEST"},
{"name": "URBAN", "value": "URBAN"},
{"name": "RURAL", "value": "RURAL"},
{"name": "YES", "value": "YES"},
{"name": "NO", "value": "NO"},
{"name": "LOW", "value": "LOW"},
{"name": "MEDIUM-HIGH", "value": "MEDIUM-HIGH"}
]
```
```json
[
{"name": "<table>", "value": "<table style='width: 100%; height: auto;'><thead style='background-color: #f2f2f2;'><tr style='background-color: #f2f2f2;'><th style='border-bottom: 3px solid black;'></th>\n<th style='border-bottom: 3px solid black;'>Total</th>\n<th style='border-bottom: 3px solid black;'>LONDON</th>\n<th style='border-bottom: 3px solid black;'>SOUTH EAST</th>\n<th style='border-bottom: 3px solid black;'>SOUTH WEST</th>\n<th style='border-bottom: 3px solid black;'>EAST MIDLANDS</th>\n<th style='border-bottom: 3px solid black;'>EAST ENG</th>\n<th style='border-bottom: 3px solid black;'>YORKSHIRE AND HUMBER</th>\n<th style='border-bottom: 3px solid black;'>NORTH EAST</th>\n<th style='border-bottom: 3px solid black;'>NORTH WEST</th>\n<th style='border-bottom: 3px solid black;'>URBAN</th>\n<th style='border-bottom: 3px solid black;'>RURAL</th>\n<th style='border-bottom: 3px solid black;'>YES</th>\n<th style='border-bottom: 3px solid black;'>NO\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHREE\nTHree THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THREES THRESES THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE THREE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONE ONONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENONSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSENSESENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENSSENS SESSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SS SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI SI I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXI
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD31). SHOWCARD Are you still within your minimum contract period? IF NECESSARY Contract periods tend to run for 12, 18 or 24 months and this is agreed when you take out the contract for the mobile phone and handset. IF YES- Which of these best describes your contract? (SINGLE CODE)
Base : Those who got a handset and contract when they signed up for their current mobile contract
<table>
<thead>
<tr>
<th>GENDER</th>
<th colspan="7">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E17.5K</th>
<th>E17.5K</th>
<th>E29.5K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>BND LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
<tr>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i j k l m n o p q r</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</td><td>r</ td><br>Unweighted total<br>1899<br>866<br>1033<br>335<br>419<br>720<br>425<br>180<br>159<br>270<br>447<br>462<br>655<br>401<br>380<br>1179<br>228<br>228<br>264<br>Effective Weighted Sample<br>1314<br>599<br>716<br>227<br>285<br>504<br>303<br>123<br>115<br>198<br>337<br>334<br>452<br>283<br>256<br>1023<br>151<br>144<br>201<br>Total<br>1491<br>689<br>802<br>252<br>342<br>586<br>310<br>106<br>123<br>228<br>430<br>426<br>451<br>324<br>289<br>1259<br>124<br>67<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-- <table cellspacing="0" cellpadding="0"><tbody><tr style="text-align:center;"><th>I am paying a similar monthly tariff compared to when I signed up (e.g. lower amount of inclusive minutes, texts or data)</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</th><th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:</than th style="text-align:right;">Total:
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 38
QD19 (QD31). SHOWCARD Are you still within your minimum contract period? IF NECESSARY Contract periods tend to run for 12, 18 or 24 months and this is agreed when you take out the contract for the mobile phone and handset. IF YES - Which of these best describes your contract? (SINGLE CODE)
Base : Those who got a handset and contract when they signed up for their current mobile contract
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th colspan="5">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th></th>
<th></th>
<th>UNDER £11.5K</th>
<th>£11.5K - £23.9K</th>
<th>£23.9K+ </th>
<th>E17.3K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>BND LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>p n p q r</td>
<td>p n p q r</td>
<td>p n p q r</td>
<td>n p n p q r</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a b c d e f g h i j k l m n o p q r</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1899 866 1033 335 419 720 425 180 159 270 447 462 655 401 380</td>
<td></td>
<td>£11.5K £17.3K £23.9K £E17.3K+ E30K+ £30K+ £E30K+ E40K+ E45K+ E50K+ E55K+ E60K+ E65K+ E70K+ E75K+ E80K+ E85K+ E90K+ E95K+ E100K+ E105K+ E110K+ E115K+ E120K+ E125K+ E130K+ E135K+ E140K+ E145K+ E150K+ E155K+ E160K+ E165K+ E170K+ E175K+ E180K+ E185K+ E190K+ E195K+ E200K+</td>
<td>380 228 228 264</td>
<td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 228 264</td><td>380 228 264</td><td>380 264</td><td>380 7% n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r n p q r ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ni ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci ci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cci cccn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cn cncncncncncncncncncncncncncncncncncncncncncncncncncncncncncncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnncnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnnccnn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn cc nn nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc nc(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(nc)(ni(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)n(ni)))])]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD31). SHOWCARD Are you still within your minimum contract period? IF NECESSARY Contract periods tend to run for 12, 18 or 24 months and this is agreed when you take out the contract for the mobile phone and handset. IF YES - Which of these best describes your contract? (SINGLE CODE)
Base : Those who got a handset and contract when they signed up for their current mobile contract
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>WEST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>j</td>
<td>k</td>
<td>i</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1899</td>
<td>163<br>140<br>118<br>123<br>129<br>126<br>133<br>113<br>134<br>1418<br>1289<br>628<br>698<br>1001</td>
<td>a<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A bar chart showing the distribution of significance levels.</img> </table>
Effective Weighted Sample Total I am paying a similar monthly tariff compared to when I signed up I am paying a cheaper tariff compared to when I signed up (e.g. lower amount of inclusive minutes, texts or data) I am paying a more expensive tariff compared to when I signed up (e.g. added minutes, texts or data)
<table border="1">
<thead>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>WEST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBANITY LEVEL (%)<sup>*</sup></th>
<th>RURAL (%)<sup>*</sup></th>
<th>YES (%)<sup>*</sup></th>
<th>NO (%)<sup>*</sup></th>
<th>LOW (%)<sup>*</sup></th>
<th>MEDIUM (%)<sup>*</sup></th>
<th>HIGH (%)<sup>*</sup></th>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="16" style="text-align: center;">Significance Level: 95%</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<td>Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Total (n = 20)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f
Prepared by Saville Rossiter Base : 67789
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 38
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD31). SHOWCARD Are you still within your minimum contract period? IF NECESSARY Contract periods tend to run for 12, 18 or 24 months and this is agreed when you take out the contract for the mobile phone and handset. IF YES - Which of these best describes your contract? (SINGLE CODE)
Base : Those who got a handset and contract when they signed up for their current mobile contract
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>WEST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>j</td>
<td>k</td>
<td>i</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1899</td>
<td>163</td>
<td>140</td>
<td>118</td>
<td>123</td>
<td>129</td>
<td>126</td>
<td>133</td>
<td>113</td>
<td>134</td>
<td>1418</td>
<td>481</td>
<td>1269</td>
<td>626</td>
<td>698</td>
<td>1001</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1314</td>
<td>147</td>
<td>132</td>
<td>113</td>
<td>118</td>
<td>120</td>
<td>120</td>
<td>124</td>
<td>106</td>
<td>123</td>
<td>1108</td>
<td>225</td>
<td>894</td>
<td>436</td>
<td>633</td><td>696</td>
</tr>
<tr>
<td>Total</td>
<td>1491</td>
<td>232<br/>98<br/>57<br/>86<br/>77<br/>37<br/>47<br/>56<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/>57<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
No, I am out of my minimum contract period
<table border="1">
<thead><tr><th></th><th>Total (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th><th>% (n)</th></tr></thead><tbody><tr><td rowspan="2">Don't know 2%</table>
Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 39
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD11 (QD32): SHOWCARD Which of these best describes your current situation, now that your minimum contract period for your mobile phone service and handset has ended? (SINGLE CODE)
| GENDER | Total | MALE | FEMALE | AGE GROUP | 16-24 | 25-34 | 35-54 | 55+ | UNDER | E11.5K- | E17.5K | E29.9K | HOUSEHOLD INCOME | SOCIAL GROUP | ENG LAND | SCOT LAND | WALES | NATION | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | Total | 107 | 51 | 56 | 15 | 20 | 39 | 33 | 11 | 9 | 22 | 26 | 30 | 47 | 12 | 18 | 83 | 4 | 10 | | Unweighted total | 107 | 51 | 56 | 15 | 20 | 39 | 33 | 11 | 9 | 22 | 26 | 30 | 47 | 12 | 18 | 83 | 4 | 10 | | Effective Weighted Sample | 81 | 37 | 45 | 12 | 13 | 33 | 28 | 8 | 8 | 18 | 18 | 23 | 37 | 9 | 14 | 72 | 3 | 7 | | Total | **92** **44** **48** **11** **18** **39** **23** **7** **8** **19** **26** **28** **37** **13** **13** **85** **2** **3** **2** | | I am paying a similar monthly tariff compared to when I signed up **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** **66** | | I am now on a SIM-only cheaper tariff **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** **72%** I am now on a cheaper tariff compared to when I signed up, but not SIM-only. <br> I am now on a more expensive tariff compared to when I signed up <br> Don't know <br> Columns Tested: a-b • c-e.f.- g-h.i-j-k-l.m-n-o.p.q.r
<table>
<thead>
<tr>
<td>GENDER</td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>AGE GROUP</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E11.5K-</td>
<td>E17.5K-</td>
<td>E29.9K-</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NATION</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>107</td>
<td>51</td>
<td>56</td>
<td>15</td>
<td>20</td>
<td>39</td>
<td>33</td>
<td>11</td>
<td>9</td>
<td>22</td>
<td>26</td>
<td>30</td>
<td>47</td>
<td>12</td>
<td>18</td>
<td>83</td>
<td>4</td>
<td>10</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>107</td>
<td>51</td>
<td>56</td>
<td>15</td>
<td>20</td>
<td>39</td>
<td>33</td>
<td>11</td>
<td>9</td>
<td>22</td>
<td>26</td>
<td>30</td>
<td>47</td>
<td>12</td>
<td>18</td>
<td>83</td>
<td>4</td>
<td>10</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>81</td>
<td>37</td>
<td>45</td>
<td>12</td>
<td>13</td>
<td>33</td>
<td>28</td>
<td>8</td>
< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </ td>< td="">8 </TD
<tr style="border-top: double;">
<th>Total<br>I am paying a similar monthly tariff compared to when I signed up<br>I am now on a SIM-only cheaper tariff compared to when I signed up, but not SIM-only.</th> <br>I am now on a more expensive tariff compared to when I signed up<br>Don't know<br>COLUMNS TESTED: A-B • C-E.F.- G-H.I-J-K-L.M-N-O.P.Q.R.</th> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>&nb
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 39
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD11 (QD32). SHOWCARD Which of these best describes your current situation, now that your minimum contract period for your mobile phone service and handset has ended? (SINGLE CODE) Base: Those who got a handset and contract when they signed up for their current mobile contract and are now out of their minimum contract period.
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>107</td>
<td>9</td>
<td>9</td>
<td>17</td>
<td>6</td>
<td>7</td>
<td>18</td>
<td>5</td>
<td>8</td>
<td>4</td>
<td>73</td>
<td>34</td>
<td>73</td>
<td>34</td>
<td>55</td>
<td>52</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>81</td>
<td>8</td>
<td>8</td>
<td>16</td>
<td>6</td>
<td>7</td>
<td>17</td>
<td>5</td>
<td>7</td>
<td>4</td>
<td>57</td>
<td>25</td>
<td>54</td>
<td>29</td>
<td>40</td>
<td>42</td>
</tr>
<tr>
<td>Total</td>
<td>92</td>
<td>14<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th></th>
<th>I am paying a similar monthly tariff compared to when I signed up.</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
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<th></th>
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<th></th>
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<th></th>
<th></th>
<th></th>
<tfoot style="background-color:#cccccc;">
<tr style="background-color:#cccccc;">
<td colspan="30" style="text-align:center;">I am now on a SIM-only cheaper tariff.</td>
```
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<td colspan="30" style="text-align:center;"></td>
<tbody style="background-color:#cccccc;">
<tr style="background-color:#cccccc;">
<td colspan="30" style="text-align:center;">I am now on a cheaper tariff compared to when I signed up, but not SIM only.</td>
<tbody style="background-color:#cccccc;">
<tr style="background-color:#cccccc;">
<td colspan="30" style="text-align:center;">I am now on a more expensive tariff compared to when I signed up.</tbody>}
</tr>}
</tr>}
</tbody>}
```
}</table>} } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 40
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD12 (QD33). What type of SIM-only deal are you on? (SINGLE CODE) Base: Those now on a SIM-only tariff now that their minimum contract period has ended
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>13 3</td>
<td>10 1</td>
<td>8 6</td>
<td>3 2</td>
<td>4 8</td>
<td>12 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>11 3</td>
<td>8 1</td>
<td>6 4</td>
<td>3 2</td>
<td>3 8 1</td>
<td>10 1 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10</td>
</tr>
<tr>
<td>Total</td>
<td>10<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>2<br> *<span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>><span style="color:red;">%</span><<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
</tr>
<tr>
<td>30 day</td>
<td>*<<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
<td>*<<span style="color:red;">%</span>></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
</tr>
<tr>
<td></td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
</tr>
<tr>
<td>Total</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
<td>*</td>
<tr>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
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<table>
<table>
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<table>
<table>
<table>
<table>
<table>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 40
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 5% confidence level.
QD12 (QD33). What type of SIM-only deal are you on? (SINGLE CODE)
Base: Those now on a SIM-only tariff now that their minimum contract period has ended
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST WEST</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
<td>-p</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>13</td>
<td>2</td>
<td>1</td>
<td>3</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
<td></td>
<td></td>
<td>8</td>
<td>5</td>
<td>10</td>
<td>3</td>
<td>7</td>
<td>6</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>11</td>
<td>2</td>
<td>1</td>
<td>3</td>
<td>1</td>
<td>1</td>
<td>1</td>
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<watermark>Saville Rossiter Base 01727 899 599 Prepared by Saville Rossiter Base 01727 899 599
<img>A table showing OFCOM Nations & Regions Tracker data.</img></watermark>
Don't know
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** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fp fq fr fs ft fu fv fw fw xw yw zw za zb zc zd ze zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo zeo ze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze oze ozo oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz oz az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az Az AzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAzaAza A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zc zd ze zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea zea z ea
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fw fw xw yw zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fv fwfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fj fk fl fm fn fo fpfq fr fs ft fu fvfw x w y w zw za zb zd ce ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fjfk flfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi fjfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff fg fh fi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef eg eh ei ej ek el em en eo ep eq er es et eu ev ew ex ey ez fa fb fd fe ff ghfi jfkflfmfnfofpfqfrfsftfufvfwxwyzwzazbzdcefgheieiiekelmenoepqeressetuweexeyezfafbfdfeffghfiijklmno
** aa ab ac ae af ag ah ai aj ak al am an ao ap ap bp bq br bs bt bu bv bw bx by bz ca cb cd ce cf cg ch ci cj ck cl cm cn co cp cq cr cs ct cu cv cw cx cy cz da db dd de ef gg hie iej elk mmo npo pqq rrs sst ttt uuuv uvv vww wxw yyw zz a b c d ed eff ghh iiik lm no
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QD1 (QD34). SHOWCARD Which of these best describes where you got your mobile phone handset from? (SINGLE CODE)**
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th></th>
<th>AGE GROUP</th>
<th></th>
<th>HOUSEHOLD INCOME</th>
<th></th>
<th>SOCIAL GROUP</th>
<th></th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>£11.9K £17.9K £29.9K</td>
<td>E30K+</td>
<td>AB C1 C2 DE</td>
<td>m k</td>
<td>m k</td>
<td>Ni</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1468 730</td>
<td>738 738</td>
<td>173 166 399 730</td>
<td>267 203 153 152</td>
<td>267 388 316 485</td>
<td>876 215 207 170</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>980</td>
<td>484</td>
<td>497 113 104 271 458</td>
<td>202 134 111 113</td>
<td>196 262 210 321</td>
<td>747 129 127 133</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>970</td>
<td>493</td>
<td>476 106 111 252 461</td>
<td>170 116 112 140</td>
<td>229 229 291 810</td>
<td>85 49 25</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr style="color: red;">
<td colspan="3">51%</td><td>49%<br>11%<br>11%<br>30%<br>48%</td><td>17%<br>12%</br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/>
<tr style="color: red;">
<td colspan="3">51%</td>
<table border="0">
<tbody>
<tr style="color: red;">
<th colspan="3">PROMPTED RESPONSES<br>An independent retailer - either high street or online (e.g. Amazon, Ebay, etc.)<span style="font-size: smaller;">Columns that contain "Simply"</span></th>
</tr>
<tr style="color: red;">
<th style="text-align: right;">369<br>38%</th>
<th style="text-align: right;">190<br>39%</th>
<th style="text-align: right;">179<br>38%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
<th style="text-align: right;">45<br>45%</th>
</tr>
<tr style="color: red;">
<th style="text-align: right;">Your current mobile phone network operator<span style="font-size: smaller;">Electronics, etc.</span></th>
<th style="text-align: right;">51%</th>
<th style="text-align: right;">49%</th>
<th style="text-align: right;">12%</th>
<th style="text-align: right;">12%</th>
<th style="text-align: right;">29%</th>
<th style="text-align: right;">47%</th>
<th style="text-align: right;">19%</th>
<th style="text-align: right;">8%</th>
<th style="text-align: right;">8%</th>
<th style="text-align: right;">8%</th>
<th style="text-align: right;">8%</th>
</tr>
<tr style="color: red;">
<th style="text-align: right;">A previous mobile phone network operator<span style="font-size: smaller;">Electronics, etc.</span></th>
<th style="text-align: right;">69<br>7%</h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h><span style="font-size: smaller;"></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> |>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|>|
<tr style="color:red;">
<table border=0 cellspacing=0 cellpadding=0 align=center width=auto height=auto valign=top align=left class=table_data_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_...
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```json
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```json
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 41**
**QD13 (QD34). SHOWCARD Which of these best describes where you got your mobile phone handset from? (SINGLE CODE)**
Base: Those who use a prepaid Pay As You Go phone or took a SIM-only tariff
| GENDER | Total | MALE | FEMALE | AGE GROUP | 16-24 | 25-34 | 35-54 | 55+ | HOUSEHOLD INCOME | UNDER £11.9K | £11.9K-£17.9K | £17.9K-£29.9K | £30K+ | SOCIAL GROUP | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Significance Level: 95% | Total | 8 | 5 | c | 25-34 | 35-54 | 55+ | 5+ | UNDER £11.9K | £11.9K-£17.9K | £17.9K-£29.9K | £30K+ | AB x k i m | C1 i m | C2 d e |
| Unweighted total | 1468 | 730 | 738 | 173 | 166 | 399 | 730 | 297 | 203 | 153 | 152 | 267 | 388 | 316 | 485 | 876 | 215 | 207 | 170 |
| Effective Weighted Sample | 980 | 484 | 497 | 113 | 104 | 271 | 488 | 202 | 134 | 111 | 113 | 196 | 262 | 210 | 321 | 747 | 129 | 127 | 133 |
| Total | 970 | 493 | 476 | 106 | 111 | 252 | 461 | 170 | 116 | 112 | 140 | 229 | 220 | 201 | 810 | 85 | 49 | 25 |
| Unprompted Responses: Hand me down/ second hand/ passed on to me/ eBay: A gift present: Don't know: Columns Tested: a.b.-c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r |
| Total: Unweighted total: Effective Weighted Sample: Total: Unprompted Responses: Hand me down/ second hand/ passed on to me/ eBay: A gift present: Don't know: Columns Tested: a.b.-c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r |
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<tr>
<th>GENDER</th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>AGE GROUP</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>HOUSEHOLD INCOME</th>
<th>UNDER £11.9K</th>
<th>£11.9K-£17.9K</th>
<th>£17.9K-£29.9K</th>
<th>£30K+</th>
<th>SOCIAL GROUP</th>
<th>AB x k i m</th>
<th>C1 i m</th>
<th>C2 d e</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
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<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>5+</td>
<td>UNDER £11.9K</td>
<td>£11.9K-£17.9K</td>
<td>£17.9K-£29.9K</td>
<td>£30K+</td>
<td>AB x k i m</td>
<td>C1 i m</td>
<td>C2 d e</td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Hand me down/ second hand/ passed on to me/ eBay:</tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">A gift present:</tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Don't know:</tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">Columns Tested: a.b.-c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r:</tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;"></tr><tr style="background-color: #f0f0f
```html
<table border='1'>
<thead border='none'>
<tr border='none'>
<th rowspan='2'>GENDER</th>
<th rowspan='2'>Total</th>
<th rowspan='2'>MALE</th>
<th rowspan='2'>FEMALE</th>
<th rowspan='2'>AGE GROUP</th>
<th rowspan='2'>UNDER £11.9K</th>
<th rowspan='2'>$E$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$T$<table border='none'>
<thead border='none'>
<tr border='none'>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
<th rowspan='2'></th>
````
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 41
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD13 (QD34). SHOWCARD Which of these best describes where you got your mobile phone handset from? (SINGLE CODE)
Base: Those who use a prepaid Pay As You Go phone or took a SIM-only tariff
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>NORTHERN RURAL</td>
<td>URBAN RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
<td>n o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>--a--b</td>
<td>c</td>
<td>--a--b</td>
<td>--a--b</td>
<td>--a--b</td>
<td>--h--i--j--k--l--m--n--o--p--q--r--s--t--u--v--w--x--y--z--aa--bb--cc--dd--ee--ff--gg--hh--ii--jj--kk--ll--mm--nn--oo--pp--qq--rr--ss--tt--uu--vv--ww--xx--yy--zz-</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td>
<td>--h--i</td>
<td>--a--b</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Unweighted total<br>1468<br>Effective Weighted Sample<br>Total<br>970
</tr>
<tr>
<td>Significance Level: 95%</table>
<watermark>Prepared by Saville Rossler Base : 01727 899 399</watermark> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 41
**QD13 (QD34). SHOWCARD Which of these best describes where you got your mobile phone handset from? (SINGLE CODE)**
Base: Those who use a prepaid Pay As You Go phone or took a SIM-only tariff
| | ENGLAND REGIONS | URBANITY | WORKING | DEPRIVATION LEVEL | |---|---|---|---|---| | Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDLANDS | EAST OF ENGLAND | YORKSHIRE AND THE HUMBER | NORTH EAST | NORTH WEST | URBAN | RURAL | YES | NO | LOW | MEDIUM-HIGH | | Significance Level: 95% | --a-- | --b-- | c | --d-- | --e-- | --f-- | h | --g-- | l | i | k | n | o | | Unweighted total | 1468 | 73 | 90 | 105 | 98 | 104 | 98 | 97 | 112 | 99 | 1032 | 436 | 524 | 937 | 705 | 763 | | Effective Weighted Sample | 980 | 62 | 85 | 101 | 89 | 97 | 93 | 89 | 102 | 92 | 797 | 194 | 356 | 839 | 471 | 533 | | Total | 970 | 86 | 126 | 93 | 67 | 94 | 98 | 84 | 49 | 113 | 821 | 148 | 411 | 554 | 531 | 439 | | **UNPROMPTED RESPONSES**<br>Hand me down / second hand / passed on<br>to me asby<br>A gift present<br>Don't know<br>Colums Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>**<br>** | Significance Level: <u><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small><small>\<smal</u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u></u>\</u/></table>
<table>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-HIGH</td>
</tr>
<tr>
<td>--a--</td>
<td>--b--</td>
<td>c</td>
<td>--d--</td>
<td>--e--</td>
<td>--f--</td>
<td>--g--</td>
<td>--h--</td>
<td>--i--</td>
<td>j</td>
<td>k</td>
<td>i</td>
<td>n</td>
<td>m</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1468</td>
<td>73</td>
<td>90</td>
<td>105</td>
<td>98</td>
<td>104</td>
<td>98</td>
<td>97</td>
<td>112</td>
<td>99</td>
<td>1032</td>
<td>436</td>
<td>524</td>
<td>937</td>
<td>705</td>
<td>763</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>980</td>
<td>62</td>
<td>85</td>
<td>101</td>
<td>89</td>
<td>97</td>
<td>93</td>
<td>89</td>
<td>102</td>
<td>92</td>
<td>797</td>
<td>194</td>
<td>356</td>
<td>839</td>
<td>471</td>
<td>533</td>
</tr>
<tr>
<td>Total</td>
<td>970</td>
<td>86</td>
<td>126</td>
<td>93</td>
<td>67</td>
<td>94</td>
<td>98</td>
<td>84</td>
<td>49</td>
<td>113</td>
<td>821</td>
<td>148</td>
<td>411</td>
<td>554</td>
<td>531</td>
<td>439</td>
<tr style="background-color: #f0f0f0;">
<th colspan="16" style="text-align: center;">UNPROMPTED RESPONSES<br>Hand me down / second hand / passed on<br>To me asby<br>A gift present<br>Dont know<br>Colums Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o<br> </th>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th><th colspan="2">ENGLAND REGIONS - URBANITY - WORKING - DEPRIVATION LEVEL - SIGNIFICANCE LEVEL: <span style="color: red;">HIGH-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-Medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-low-medium-high-lo...</th>
<tbody style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th colspan="2" style="text-align: center;"><strong>Total:</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong> <strong>◆</strong>><br> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</di
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 42
QD14A (QD4A). SHOWCARD How often, if at all, do you use your mobile phone to send or receive text messages? [SINGLE CODE]
| GENDER | MALE | FEMALE | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---|---|---| | Total | 8 | b c | 16-24 | 25-34 | 35-54 | 55+ | UNDER £11.9K | £17.9K | £17.9K | £29.9K | E30K+ | AB C D E F G H I J K L M N O P Q R S T U V W X Y Z | | Significance Level: 95% | 8 | b c | 16-24 | 25-34 | 35-54 | 55+ | UNDER £11.9K | £17.9K | £17.9K | £29.9K | E30K+ | AB C D E F G H I J K L M N O P Q R S T U V W X Y Z | | Unweighted total | 3425 | 1269 | 796 | 513 | 593 | 1142 | 1179 | 483 | 365 | 428 | 610 | 745 | x m n | | Effective Weighted Sample | 2318 | 1101 | 1218 | 340 | 391 | 788 | 812 | 329 | 247 | 306 | 457 | 543 | 719 | | Total | 2484 | 1304 | 1290 | 361 | 466 | 895 | 782 | 278 | 240 | 341 | 576 | 668 | 549 | | Several times a day (48%) = (52%) = (14%) = (18%) = (36%) = (3%) = (1%) = (10%) = (14%) = (23%) = (27%) = (28%) = (22%) = (24%) = (8%) = (8%) = (5%) = (3%) | | Every day (45%) = (55%) = (20%) = (24%) = (39%) = (6%) = (10%) = (14%) = (28%) = (27%) = (30%) = (20%) = (8%) = (9%) = (5%) = (3%) | | Several times a week (44%) = (56%) = (12%) = (18%) = (3%) = (4%) = (7%) = (9%) = (20%) = (27%) = (30%) = (20%) = (8%) = (9%) = (5%) = (3%) | | At least once a week (59%) = (45%) = (5)% = (4)% = (2)% = (1)% = (0)% = (0)% = (0)% = (0)% = (0)% = (0)% = (0)% = (0)% | | At least once a month (58%) = (44)% = (8)% = (4)% = (2)% = (1)% = (%) % % % % | | Less than once a month (<b>68%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> <b>b</b> <b>6%</b>) <b>3%</b> | Columns Tested: a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.p.q.r |
Prepared by Saville Rossiter Base: 01727 899 399 OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 42
QD14A (QD4A). SHOWCARD How often, if at all, do you use your mobile phone to send or receive text messages? [SINGLE CODE]
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513 591 1142</td>
<td>483 365 428 610</td>
<td>745 1059 728 889</td>
<td>2083 451 445 446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340 391 788</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1290 361 456 895</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120 68</td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>14% 18% 36% 31%</td>
<td>11% 10% 14% 23%</td>
<td>27% 28% 22% 24%</td>
<td>84% 8% 5% 3%</td>
</tr>
<tr>
<td>Never</td>
<td>142 83</td>
<td>59 2</td>
<td>16 33</td>
<td>18 9</td>
<td>35 28</td>
<td>119 12</td>
</tr>
<tr>
<td></td>
<td>6% 7%</td>
<td>5% 1%</td>
<td>1% 2%</td>
<td>1% 5%</td>
<td>5% 5%</td>
<td>6% 5%</td>
</tr>
<tr>
<td></td><td>b c d e f h i j k l m n o p q r t u v w x y z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y Z A B C D E F G H I J K L M N O P Q R T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 42
QD14A (QD4A). SHOWCARD How often, if at all, do you use your mobile phone to send or receive text messages? [SINGLE CODE]
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 234 232 238 234 237 238 237 245 940 1825 1589 1637 1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209 222 218 209 217 215 210 217 1923 428 1269 1089 1122 1231</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>337 337 211 723 235 212 8% 9% 9% 9% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8%</td>
<td>646</td>
<td>637</td>
<td>1000</td>
<td>946</td>
<td>1000</td>
<td>946</td>
<td>1000</td>
<td>946</td><td>m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 42
QD14A (QD4A). SHOWCARD How often, if at all, do you use your mobile phone to send or receive text messages? (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>a<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>o</td>
<td>235<br>228<br>234<br>228<br>234<br>217<br>217<br>210<br>217<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217</td>
<td><u style="text-decoration: line-through;">9</u><br><u style="text-decoration: line-through;">8</u><br><u style="text-decoration: line-through;">7</u><br><u style="text-decoration: line-through;">6</u><br><u style="text-decoration: line-through;">5</u><br><u style="text-decoration: line-through;">4</u><br><u style="text-decoration: line-through;">3</u><br><u style="text-decoration: line-through;">2</u><br><u style="text-decoration: line-through;">1</u><br><u style="text-decoration: line-through;">0</u><br><u style="text-decoration: line-through;">-1</u><br><u style="text-decoration: line-through;">-2</u><br><u style="text-decoration: line-through;">-3</u><br><u style="text-decoration: line-through;">-4</u><br><u style="text-decoration: line-through;">-5</u><br><u style="text-decoration: line-through;">-6</u><br><u style="text-decoration: line-through;">-7</u><br><u style="text-decoration: line-through;">-8</u><br><u style="text-decoration: line-through;">-9</u><br><u style="text-decoration: line-through;">-10</u><br><u style="text-decoration: line-through;">-11</u><br><u style="text-decoration: line-through;">-12</u><br><u style="text-decoration: line-through;">-13</u><br><u style="text-decoration: line-through;">-14</u><br><u style="text-decoration: line-through;">-15</u></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<th rowspan="3" colspan="3">TOTAL AT LEAST ONCE A WEEK 2223 89% bcdedefgh i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 43**
**QD14B (QD4B). SHOWCARD And how often, it all at, do you use your mobile phone to make calls? (SINGLE CODE)**
| GENDER | MALE | FEMALE | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---|---|---| | Total | 8 | b | c | UNDER 16-24 | 25-34 | 35-54 | 55+ | £11.5K | £17.5K | £29.9K | E30K+ | AB C D E F G H I J K L M N O P Q R S T U V W X Y Z | | Significance Level: 95% | 1 | 1 | 1 | 1 | 1 | 1 | 1 | x m n p q r s t u v w x y z | | Unweighted total | 3425 | 1269 | 796 | 513 | 591 | 1142 | 1179 | 483 | 365 | 428 | 610 | 745 | 1095 | 728 | 2893 | 2883 | | Effective Weighted Sample | 2318 | 1101 | 1218 | 340 | 391 | 788 | 812 | 329 | 247 | 309 | 457 | 543 | 719 | 498 | 579 | 1787 | | Total | 2484 (48%) | 549 (52%) | ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) | Several times a day | 1110 | 549 | 561 | 214 | 266 | 472 | 159 | | Every day | 522 | 234 | | Several times a week | | At least once a week | | At least once a month | | Less than once a month |
Columns Tested: a-b-c.d.e.f-g.h.i.j-k.l.m.n-o.p.q.r
Prepared by Saville Rossler Base: \<page_number>01727\</page_number> OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 43
QD14B (QD48). SHOWCARD And how often, it at all, do you use your mobile phone to make calls? (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513</td>
<td>591 1142 1179</td>
<td>483 365 428 610</td>
<td>745 1059 728 889</td>
<td>2083 451 445 446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340</td>
<td>391 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1296 361</td>
<td>456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120 68</td>
</tr>
<tr>
<td>Never</td>
<td>16 %<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br><span style="color:red;">Never</span></td>
<td>5 % <span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</span><span style="color:red;">%</pan></td>
<td>3% <div class="table-cell-number">* </div></td>
<td></td>
</tr>
<tr>
<td>TOTAL AT LEAST ONCE A WEEK</td>
<td>2277 % <div class="table-cell-number">* </div></td>
<td>1088 % <div class="table-cell-number">* </div></td>
<td>1190 % <div class="table-cell-number">* </div></td>
<td>349 % <div class="table-cell-number">* </div></td>
<td>488 % <div class="table-cell-number">* </div></td>
<td>613 % <div class="table-cell-number">* </div></td>
<td>234 % <div class="table-cell-number">* </div></td>
<td>322 % <div class="table-cell-number">* </div></td>
<td>552 % <div class="table-cell-number">* </div></td>
<td>606 % <div class="table-cell-number">* </div></td>
<td>641 % <div class="table-cell-number">* </div></td>
<td>497 % <div class="table-cell-number">* </div></td>
<td>532 % <div class="table-cell-number">* </div></td>
<td>1902 % <div class="table-cell-number">* </div></td>
<td>200 % <div class="table-cell-number">* </div></td>
<td>108 % <div class="table-cell-number">* </div></td>
</tr>
<tr>
<td>TOTAL EVER</td>
<td>2475 % <div class="table-cell-number">* </div></td>
<td>1196 % <div class="table-cell-number">* </div></td>
<td>1279 % <div class="table-cell-number">* </div></td>
<td>360 % <div class="table-cell-number">* </div></td>
<td>454 % <div class="table-cell-number">* </div></td>
<td>891 % <div class="table-cell-number">* </div></td>
<td>771 % <div class="table-cell-number">* </div></td>
<td>272 % <div class="table-cell-number">* </div></td>
<td>238 % <div class="table-cell-number">* </div></td>
<td>340 % <div class="table-cell-number">* </div></td>
<td>577 % <div class="table-cell-number">* </div></td>
<td>665 % <div class="table-cell-number">* </div></td>
<td>682 % <div class="table-cell-number">* </div></td>
<td>543 % <div class="table-cell-number">* </div></td>
<td>583 % <div class="table-cell-number">* </div></td>
<td>2079 % <div class="table-cell-number">* </div></td>
<td>211 % <div class="table-cell-number">* </div></td>
<td>118 % <div class="table-cell-number">* </div></td>
</tr>
Don't know
<table border='0'>
<tbody><tr id='__annotation__rowinterval_0' colspan='3'><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><th colspan='3'></th><tr id='__annotation__rowinterval_0_0' rowspan='1' colspan='6'><td rowspan='1'>Total<br/>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </td><td rowspan='1'>% </ td> ?</p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><<p><
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 43
QD14B (QD48). SHOWCARD And how often, it at all, do you use your mobile phone to make calls? (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th>MEDIUM LOW HIGH o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 228 217 217 215 210 217 215 210 217 234 234 238 238 234 238 237 237 2485 940 1825 1589 1637 1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209 222 218 209 217 217 215 210 217 215 210 217 234 234 238 238 234 238 237 237 2485 940 1825 1589 1637 1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>494</td>
<td>397<br>14%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%<br>9%</td>
<td>37<br>44%<br>33%<br>44%</td><td>41%<br>33%</br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> </td>
<td>46%</td>
<td>46%</td>
<td>46%</td>
<td>46%</td>
<td>46%</td>
<td>46%</td>
<td>46%</td>
<td>46%</td>
<td>55%</td>
<td>55%</td>
<td>59%</td>
<td>59%</td>
<td>67%</td>
<td>67%</td>
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th rowspan="2">Every day</th>
<th rowspan="2">50%<=50%</th><br><table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th rowspan="2">ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce ce cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc cc ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee<br> </table><br><table border="1">
<thead style="text-align:center;">
<tr style="background-color:#cccccc;">
<th rowspan="2">ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>ce<br>cc<br></tr></thead></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody/></tr>
<tr style="background-color:#cccccc;">
<th rowspan="2">b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bb bbbb<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br<b/></tr>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
<tr style="background-color:#cccccc;">
<th rowspan="2">></th>
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<th rowspan"
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 43
QD14B (QD48). SHOWCARD And how often, it at all, do you use your mobile phone to make calls? (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="7">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN RURAL</td>
<td>RURAL RURAL</td>
<td>YES NO</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>228<br>234<br>227<br>217<br>215<br>210<br>217<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215</td>
<td><strong>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%</strong></td>
<td><strong><table><tbody><tr><td style="text-align:center;">Significance Level: 95%</td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></td><td style="text-align:center;"></ td></tbody></table></strong></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table>
<table>
<thead>
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<th rowspan="3">Total AT LEAST ONCE A WEEK</th>
<th rowspan="3">TOTAL EVER</th>
<th rowspan="3">Don't know</th>
<th rowspan="3">% - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - %</th>
<th rowspan="3">Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n-o</th>
<th rowspan="3"></th>
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<th colspan='4'>Total AT LEAST ONCE A WEEK</th><th colspan='4'>TOTAL EVER</th><th colspan='4'>Don't know</th><th colspan='4'>Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n-o</th><tr cellspacing='0' cellpadding='0'>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 44
QD14C (QD4C). SHOWCARD How often, it at all, do you use your mobile phone to access email or internet services? (SINGLE CODE)
Base : Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>£17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES MI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>n b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td>k m n o p q r s t u v w x y z</td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157 1330</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>535 800 533 537</td>
<td>589 319 281 281</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>909 313 362 667</td>
<td>188 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>903</td>
<td>329 426 755</td>
<td>385 167 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
<td></td>
</tr>
<tr>
<td>Several times a day</td>
<td>1086</td>
<td>517</td>
<td>570</td>
<td>247 290 439</td>
<td>111 95 95</td>
<td>156 301</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr>
<td>Every day</td>
<td>412<br/>22%</td>
<td>188<br/>21%</td>
<td>224<br/>23%</td>
<td>58<br/>18%</td>
<td>92<br/>28%</td>
<td>81<br/>27%</td>
<td>23<br/>6%</td>
<td>72<br/>20%</td>
<td>115<br/>34%</td>
<td>131<br/>37%</td>
<td>119<br/>36%</td>
<td>76<br/>22%</td>
<td>85<br/>24%</td><table cellspacing="0" style="width: auto; border-collapse: collapse;">
<tr style="text-align:right;">
<th colspan="6">qpii</th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></th><th colspan="6"></than td=""></tr>
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<tr style="text-align:right;">
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<tr style="" cellspacing="">
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 44
QD14C (QD4C). SHOWCARD How often, it at all, do you use your mobile phone to access email or internet services? (SINGLE CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td><strong>Total</strong></td>
<td><strong>MALE</strong></td>
<td><strong>FEMALE</strong></td>
<td><strong>UNDER 16-24</strong></td>
<td><strong>E11.5K-E17.5K</strong></td>
<td><strong>E17.5K-E29.5K</strong></td>
<td><strong>E30K+</strong></td>
<td><strong>AB</strong></td>
<td><strong>C1 C2 DE</strong></td>
<td><strong>ENG LAND</strong></td>
<td><strong>SCOT LAND</strong></td>
<td><strong>WALES</strong></td>
<td><strong>NI</strong></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>x</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
<td>r</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487<br>1157<br>1330<br>475<br>540<br>937<br>535<br>288<br>223<br>340<br>535<br>580<br>803<br>520<br>573<br>1532<br>319<br>291<br>345</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>n</td>
<td>p</td>
<td>q</td>
<td>r</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708<br>800<br>908<br>313<br>362<br>657<br>383<br>198<br>155<br>249<br>404<br>427<br>549<br>368<br>379<br>1321<br>204<br>184<br>266</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>p</td>
<td>r</td>
<td>s</td>
</tr>
<tr>
<td>Total</td>
<td>1886<br>903<br>993<br>329<br>426<br>755<br>385<br>187<br>157<br>281<br>516<br>540<br>533<br>413<br>408<br>1593<br>164<br>86<br>53</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>xk</td>
<td>mz</td>
<td>nw</td>
<td>pjxkqyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfjyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfyfy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy fy y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y </table>
<table border="1">
<thead border="1">
<tr border="1">
<th rowspan="2">TOTAL AT LEAST ONCE A WEEK</th>
<th rowspan="2">TOTAL EVER</th>
<th rowspan="2">Don't know</th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><tr border="1">
<th style="text-align:center;">Total (n)</th><th style="text-align:center;">Sample Size (n)</th><th style="text-align:center;">Weighted Sample Size (n)</th><th style="text-align:center;">Weighted Sample Size (n)</th><th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="text-align:center;">Weighted Sample Size (n)</h
<th style="" cellspacing="" cellpadding="" border="">style="" cellspacing="" cellpadding="" border=""><table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) = 1773 + 846 = 2619 Don't know(n) = 4 + 6 = 10 Total sample size = n = 899 + 947 = 1846 Weighting factor = w = 0.0000000000000000000000000000000000000000000000000000000000000000...<br/></table>
<table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) = 1773 + 846 = 2619 Don't know(n) = 4 + 6 = 10 Total sample size = n = 899 + 947 = 1846 Weighting factor = w = 0.0...<br/></table>
<table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) = 1773 + 846 = 2619 Don't know(n) = 4 + 6 = 1...<br/></table>
<table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) = 1773 + 846 = 26...<br/></table>
<table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) = 1773 + ...<br/></table>
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<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) = ...<br/></table>
<table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) ...<br/></table>
<table border="">
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<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n) ...<br/></table>
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<tr border="">
<th rowspan="">Total at least once a week(n) = 1716 + 917 = 2633 Total ever(n)...<br/></table>
<table border="">
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<tr border="">
<th rowspan="">Total at least once a week(n) = 17...<br/></table>
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<th rowspan="">Total at least once a week(n) = ...<br/></table>
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<th rowspan="">Total at least once a week(n)...<br/></table>
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<th rowspan="">Total at least once a week(...<br/></table>
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<th rowspan="">Total at least once a week(...<br/></table>
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<th rowspan="">Total at least once a week(...<br/></table>
<table border="">
<thead border="">
<tr border="">
<th rowspan="">Total at least once a week(...<br/></table>
<table border="" cellspacing="" cellpadding="" width=""><tbody><tr height=""><span class=""></span></tr></tbody></table>
<table cellspacing="" cellpadding="" width=""><tbody><tr height=""><span class=""></span></tr></tbody></table>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 44
QD14C (QD4C). SHOWCARD How often, it at all, do you use your mobile phone to access email or internet services? (SINGLE CODE) Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>n o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td>c d e f g h i j k l m n p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201</td>
<td>164</td>
<td>166</td>
<td>162</td>
<td>172</td>
<td>168</td>
<td>175</td>
<td>156</td>
<td>188</td>
<td>1841</td>
<td>646</td>
<td>1559</td>
<td>921<br>1175<br>1312<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>m n o p q r s t u v w x y z</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180</td>
<td>155</td>
<td>159</td>
<td>151</td>
<td>160</td>
<td>160</td>
<td>163</td>
<td>145</td>
<td>154</td>
<td>1432</td>
<td>300</td>
<td>1094<br>838<br>818<br>912<br> </td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>275</td>
<td>243</td>
<td>156</td>
<td>128</td>
<td>168</td>
<td>177</td>
<td>164</td>
<td>74<br> 209<br> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9% <span style="color:red;">(4%) </span> 9%& 87%</td><br><span style="color:green;">(27)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</span><br><span style="color:green;">(53)</div>
Several times a day <font color="#FF0000"><b>(n = 27) </b></font>
<table border='0'>
<tr align='center'>
<th>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='0' cellspacing='0' cellpadding='0'>
<tr align='center'>
<th rowspan='2'>Total (n = 27) > 2000:</th>
<table border='...</table>
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... OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 44
QD14C (QD4C) SHOWCARD How often, it at all, do you use your mobile phone to access email or internet services? (SINGLE CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201<br>164<br>166<br>162<br>172<br>168<br>175<br>156<br>188<br>1841<br>646<br>1569<br>921<br>1175<br>1312</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Effective Weighted Sample</table>
<table>
<tr>
```
<th>Total AT LEAST ONCE A WEEK</th>
<th>TOTAL EVER</th>
<th>DON'T KNOW</th>
<th>%<table>
<tr>
<th>Total AT LEAST ONCE A WEEK</th>
<th>TOTAL EVER</th>
<th>DON'T KNOW</th>
<th>%<table>
<tr>
<th>Total AT LEAST ONCE A WEEK (Total)</th>
<th>TOTAL EVER (Total)</th>
<th>DON'T KNOW (Total)</th>
<th>% (Total)</th>
</tr>
<tr>
<td rowspan="3" style="border-top: 1px solid black;">TOTAL AT LEAST ONCE A WEEK (Sample)</table>
<table>
<tr>
<th rowspan="3" style="border-top: 1px solid black;">TOTAL EVER (Sample)</th>
<th rowspan="3" style="border-top: 1px solid black;">DON'T KNOW (Sample)</th>
<th rowspan="3" style="border-top: 1px solid black;">%</table>
</tr>
<tr>
<th style="border-top: 1px solid black;">Sample Size (Total AT LEAST ONCE A WEEK)</th>
<th style="border-top: 1px solid black;">Sample Size (TOTAL EVER)</th>
<th style="border-top: 1px solid black;">Sample Size (DON'T KNOW)</th>
<th style="border-top: 1px solid black;">%</table>
</tr>
<tr>
<th style="border-top: 1px solid black;">Sample Size (TOTAL AT LEAST ONCE A WEEK)</table>
<table>
<tr>
<th style="border-top: 1px solid black;">Sample Size (TOTAL EVER)</table>
table
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Prepared by Saville Rossiter Base - 01727 899 399
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
| GENDER | Total | MALE | FEMALE | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---|---|---|---| | | Total | 8 | b | c | 16-24 | 25-34 | 35-54 | 55+ | UNDER | E17.5K+ | E17.5K | E17.5K+ | E30K+ | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI | | Significance Level: 95% | Total | 8 | b | c | 16-24 | 25-34 | 35-54 | 55+ | UNDER E17.5K | E17.5K E30K+ | E30K+ | AB x n k m x 100s 289 283 451 445 80% 80% 80% 80% | | Unweighted total | 3425 | 1296 | 1296 | 513 | 911 | 1142 | 1179 | 483 | 365 | 429 | 610 | 745 | 1095 | 728 | 2893 | | Effective Weighted Sample | 2318 | 1101 | 1218 | 340 | 391 | 788 | 812 | 329 | 247 | 309 | 457 | 543 | 719 | 498 | 579 | | Total | 2484 | 1304 | 1290 | 361 | 456 | 895 | 782 | 278 | 240 | 341 | 576 | 668 | 686 | 549 | | Send receive text messages (SMS) \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ | Total (n=2484) (n=1304) (n=1290) (n=361) (n=456) (n=895) (n=782) (n=278) (n=240) (n=341) (n=576) (n=668) (n=549) (n=2096) (n=211) (n=120) (n=68) | Send receive text messages (SMS) (n=2227) (n=1058) (n=989) (n=348) (n=400) (n=837) (n=602) (n=227) (n=211) (n=317) (n=546) (n=612) (n=625) (n=489) (n=500) (n=1878) (n=182) (n=106) (n=61) | Take photos (n=1750) (n=812) (n=938) (n=317) (n=384) (n=686) (n=363) (n=193) (n=145) (n=245) (n=495) (n=384) (n=369) (n=1471) (n=144) (n=84) (n=3) | General browsing/ surfing the Internet (n=1515) (n=61%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) | Send/ receive emails (not SMS) (n=1410) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) | Send/ receive messages with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images with pictures/images OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
| GENDER | Total | MALE | FEMALE | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---|---|---|---| | | | | | UNDER | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI | | | | | | £11.5K | £17.5K | £29.9K | £30K+ | k | m | n | m | n |
Significance Level: 95% Unweighted total 3425 1269 1796 513 591 1142 1179 483 365 428 610 745 1059 728 889 2083 451 445 446 Effective Weighted Sample 2318 1101 1218 304 391 788 812 329 247 309 457 543 719 498 579 1787 279 273 341 Total 2484 1204 366 465 896 782 278 240 341 576 669 868 549 588 2096 211 120 68
Using social networking e.g. Facebook, Twitter, LinkedIn, Snapchat
Use IM Instant Messaging (e.g. BIM, Apple iMessage, WhatsApp, Facebook Messenger, Snapchat) Download apps or programs directly to your phone
Record video clips using the phone
Play games
Columns Tested: a,b - c,d,e,f - g,h,j - k,l,m,n - o,p,q,r
<table>
<thead>
<tr>
<td>GENDER</td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
<td></td>
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<td rowspan="3">Total</td>
<td rowspan="3">2484</td>
<td rowspan="3">1204</td>
<td rowspan="3">366</td>
<td rowspan="3">465</td>
<td rowspan="3">896</td>
<td rowspan="3">782</td>
<td rowspan="3">278</td>
<td rowspan="3">240</td>
<td rowspan="3">341</td>
<td rowspan="3">576</td>
<td rowspan="3">669</td>
<td rowspan="3">868</td>
<td rowspan="3">549</td>
<td rowspan="3">588</td>
<td rowspan="3">2096</td>
<td rowspan="3">211</td>
<td rowspan="3">120</td>
<td rowspan="3">68</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <table border="1">
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<th colspan="1"></th> <th colspan="2" style="text-align:center;">GENDER</th> <th colspan="2" style="text-align:center;">AGE GROUP</th> <th colspan="2" style="text-align:center;">HOUSEHOLD INCOME</th> <th colspan="2" style="text-align:center;">SOCIAL GROUP</th> <th colspan="7" style="text-align:center;">NATION</th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <th colspan="7" style="text-align:center;"></th> <tr class=""><td> </td> </table>
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<th> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong>&#x...
<page_number>Published on 2nd March 2019 at 1:59 PM GMT.</page_number>
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<th>&#x...
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £17.5K £29.9K</td>
<td>E17.5K E30K+</td>
<td></td>
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<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
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<td>Unweighted total</td>
<td>3425 1296</td>
<td>513 591</td>
<td>385 1142</td>
<td>438 1179</td>
<td>428 610</td>
<td>710 1059</td>
<td>728 2883</td>
<td>2883 451</td>
<td>445 446</td>
</tr>
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<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>340 391</td>
<td>378 812</td>
<td>329 247</td>
<td>309 457</td>
<td>543 719</td>
<td>498 579</td>
<td>787 279</td>
<td>273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>361 456</td>
<td>895 782</td>
<td>278 240</td>
<td>341 576</td>
<td>669 686</td>
<td>549 588</td>
<td>2096 211</td>
<td>120 68</td>
</tr>
<tr>
<td>Acessing/ receiving news</td>
<td>842 452</td>
<td>391 163</td>
<td>218 353</td>
<td>109 50</td>
<td>65 118</td>
<td>291 267</td>
<td>169 116</td>
<td>709 69</td>
<td>36 28</td>
</tr>
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<td>Acessing/ receiving news (cont.)</td><td>34% 38%</td><td>30% 45%</td><td>48% 39%</td><td>37% 31%</td><td>11% 10%</td><td>24% 23%</td><td>27% 28%</td><td>22% 24%</td><td>84% 8%</td><td>5% 3%</td></tr>
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<th colspan='6' class='_table_column_0'>Watchng short video clips (e.g. on YouTube, Dailymotion or Vimeo)</th><th colspan='6' class='_table_column_0'>Send/ receive video clips (e.g. via Facetime, Skype)</th><th colspan='6' class='_table_column_0'>Making video calls e.g. via Facetime, Skype)</th><th colspan='6' class='_table_column_0'>Listen to music using MP3 function (e.g. Spotify)</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><th colspan='6' class='_table_column_0'>Columns Tested:</th><tbody align='center'>
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<th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><th rowspan='2'></th><thin/></thin/></tbody></tr></thead></tbody></table>
<table cellspacing= "cellspacing= " cellpadding= "border= " border= "style= "align= "valign= "class= "_table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_ _table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_column_" width= "auto" height= "auto" border= "style= "align= "valign= "class= "_table_colu
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £11.9K- £17.9K £17.9K+ EYK0K EYK9K</td>
<td>AB C1 C2 DE</td>
<td>C1 C2 DE</td>
<td>C1 C2 DE</td>
<td>Ni</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513</td>
<td>593 1142 1179</td>
<td>483 365 428 610</td>
<td>710 1059 728 283</td>
<td>451 445</td>
<td>446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 361</td>
<td>390 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279</td>
<td>341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1290 361</td>
<td>456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211</td>
<td>68</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Your handset to help you shop e.g. compare prices online, read internet reviews, take photos of products.</td><td>554<br>22%</td><td>270<br>22%</td><td>284<br>22%</td><td>125<br>35%</td><td>151<br>33%</td><td>211<br>37%</td><td>67<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br>e/f<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br>​</br> 
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K</td>
<td>AB C1 C2 DE</td>
<td>m m m</td>
<td>Ni</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269</td>
<td>1796 513</td>
<td>591 1142 1179</td>
<td>483 365 428 610</td>
<td>740 1059 728 283</td>
<td>889 283 445 446</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340</td>
<td>391 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1290 361</td>
<td>456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120 68</td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><td></td><td>48%<br/>52%</td><td>14%<br/>18%<br/>36%<br/>31%</td><td>11%</td><td>10%<br/>14%<br/>23%</td><td>27%<br/>28%</br/>22%</br/>24%</td><td>84%<br/>8%</br/>5%</br/>3%</td><td></td>
</tr>
<tr style="border-top: double;">
<th colspan="9">Watching TV programmes/films on catch-up services (e.g. BBC iPlayer, ITV Hub, AIB, Demand 5 or Sky Go)</th>
</tr>
<tr style="border-top: double;">
<td rowspan="3">Accessing files through a cloud service such as Dropbox, Google Drive, Microsoft OneDrive or Apple iCloud.</td><td rowspan="3">341<br/>14%</br/></td><td rowspan="3">185<br/>5%</br/></td><td rowspan="3">156<br/>6%</br/></td><td rowspan="3">84<br/>of<br/></td><td rowspan="3">104<br/>of<br/></td><td rowspan="3">122<br/>of<br/></td><td rowspan="3">31<br/>of<br/></td><td rowspan="3">25<br/>of<br/></td><td rowspan="3">26<br/>of<br/></td><td rowspan="3">40<br/>of<br/></td><td rowspan="3">106<br/>of<br/></td><td rowspan="3">96<br/>of<br/></td><td rowspan="3">71<br/>of<br/></td><td rowspan="3">67<br/>of<br/></td><td rowspan="3">304<br/>of<br/></td><td rowspan="3">17<br/>of<br/></td><td rowspan="3">6<br/></td><td rowspan="3"></table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;">Accessing files through a cloud service such as Dropbox, Google Drive, Microsoft OneDrive or Apple iCloud.</th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="border-top: double;">
<th colspan="9" style="text-align:center;"></th><table>
<tr style="" cellspacing=0 cellpadding=0 border=0 align=center valign=top class=footnote marginbox="">
<p id=footnote_0 class=footnote marginbox="">Columns Tested : a-b c-e f-g h-i j-k l-m n-o p-q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.9K E17.9K E17.9K+ E29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513 591 1142</td>
<td>1179 483 365 426</td>
<td>610 745 1059 889</td>
<td>2083 451 445 446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340 391 788</td>
<td>812 329 247 309</td>
<td>457 543 719 498</td>
<td>1787 279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1290 361 456 895</td>
<td>782 278 240 341</td>
<td>576 669 686 549</td>
<td>2096 211 120 68</td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>14% 18% 36% 31%</td>
<td>11% 10% 14% 23%</td>
<td>27% 28% 22% 24%</td>
<td>84% 8% 5% 3%</td>
</tr>
<tr>
<td colspan="7">Watching other free professional TV programmes on the internet (e.g. via official YouTube channels such as Channel 4 or James Oliver's Footstool) or on other sites (e.g. South Park Studios)</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/>
<watermark>Saville Rossiter Base: DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ DITM/ D IT M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M I T M II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXI X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E11.9K E17.9K E29.9K</td>
<td>AB C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269</td>
<td>795 513</td>
<td>591 1142</td>
<td>1179</td>
<td>483 365</td>
<td>428 610</td>
<td>715 1059</td>
<td>728 283</td>
<td>883 451</td>
<td>445 273</td>
<td>446 341</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340</td>
<td>391 788</td>
<td>812</td>
<td>329 247</td>
<td>309 457</td>
<td>543 719</td>
<td>498 579</td>
<td>787 279</td>
<td>787 273</td><td></td><td></td></tr>
<tr>
<td>Total</td>
<td>2484 1204</td>
<td>361 456</td>
<td>406 895</td>
<td>782</td>
<td>278 240</td><td>341 576</td><td>669 686</td><td>549 588</td><td>2096 211</td><td>2096 120</td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></table>
Watching purchased TV programmes or downloading either via 'pay per view' services (e.g. iTunes, Google Play, Blinkbox) or via a subscription service (e.g. Netflix, Amazon Prime Instant)
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
<th>COUNTS (%)<br>(UNWEIGHTED)</th>
<th>COUNTS (%)<br>(WEIGHTED)</th>
<th>COUNTS (%)<br>(TOTAL)</th>
<th>COUNTS (%)<br>(UNWEIGHTED)</th>
<th>COUNTS (%)<br>(WEIGHTED)</th>
<th>COUNTS (%)<br>(TOTAL)</th>
<th>COUNTS (%)<br>(UNWEIGHTED)</th>
<th>COUNTS (%)<br>(WEIGHTED)</th>
<th>COUNTS (%)<br>(TOTAL)</th>
<th>COUNTS (%)<br>(UNWEIGHTED)</th><br>(TOTAL)<br>(UNWEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)<br>(WEIGHTED)<br>(TOTAL)
<br> </table>
Remotely control TV services at home such as Sky+ or Two using your mobile phone
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION<br> <small>€</small>> < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < <</table>
WEB/ DATA ACCESS
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>GENDER<br>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</th><th>€</table>
Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD1 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<th>Total</th>
<th>MALE FEMALE</th>
<th>16-24 25-34 35-54 55+</th>
<th>UNDER 11.9K £17.9K £29.9K</th>
<th>E17.9K E29.9K</th>
<th>AB C1 C2 DE</th>
<th>ENG LAND SCOT LAND WALES NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x m n</td>
<td>0 4 4 4</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>745 1059 728 889</td>
<td>2083 451 445 446</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218</td>
<td>340 391 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>1304</td>
<td>1290</td>
<td>361 456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120 68</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>WATCHING AV CONTENT</td>
<td>949<br>38%</td>
<td>482<br>40%</td>
<td>467<br>36%</td><td>273<br>30%</td><td>363<br>31%</td><td>86<br>7%</td><td>71<br>6%</td><td>144<br>5%</td><td>303<br>3%</td><td>263<br>2%</td><td>271<br>2%</td><td>204<br>1%</td><td>826<br>8%</td><td>59<br>5%</td><td>43<br>3%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nLISTEN TO AUDIO CONTENT\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dd dddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd<ref>
None of these
\\ndd
Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r
Prepared by Saville Rossiter Base : \<page_number>DITPZTJUWVZLXJYBZCZMWWZGZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZVZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZRZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZFZA \<page_number>DITPZZWJUWYXJYBZZCZZMWWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWZZWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW 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XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V \<page_number>DITPZX J U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U U UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU \<page_number>DITPZX JU UX J Y XB C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CC CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC \<page_number>DITPZX JU UX J Y B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BB BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB BBB 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All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN RURAL</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 234 234 228 234 227 237 2485 940 1825 1589 1637</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>1788</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209 222 218 209 217 217 215 210 217 1923 428 1269 1089 1122</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>1231</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>318 337 311 723 235 212 8% 9% 9% 9% 9% 9% 9% 9% 9%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>1153</td><td></td>
</tr>
<tr><td>Send/receive text messages (SMS)</td><td>2227</td><td>307<br>85%</br>87%</br>85%</br>89%</br>92%</br>87%</br>91%</br>90%</br>88%</br>90%</br>84%</br>84%</br>81%</br>89%</br>30%</br>o</th><th>cdefghijk l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</th><th>c d e f g h i j k l m n o</than td=""><tr><tbody id='table_data_1'>
<tr id='row_0' class='header_bottom_margin'>
<th colspan='3'>Take photos<br>(n=70)</strong> </strong> <strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong> </strong>&gt;<br>(n=70)</br></tr>
<tr id='row_1' class='header_bottom_margin'>
<th colspan='3'>General browsing/ surfing the internet<br>(n=515)</br></tr>
<tr id='row_2' class='header_bottom_margin'>
<th colspan='3'>Send/receive emails (not SMS)<br>(n=1410)</br></tr>
<tr id='row_3' class='header_bottom_margin'>
<th colspan='3'>Send/receive messages with pictures/images<br>(n=1227)</br></tr>
<tr id='row_4' class='header_bottom_margin'>
<th colspan='3'>Columns Tested: a.b.c.d.e.f.g.h.i.j.k-l.m-n.o<br/></tr>
<tr id='row_5' class='header_bottom_margin'>
<th colspan='3'>Total<br/></tr>
<tr id='row_6' class='header_bottom_margin'>
<th colspan='3'>Significance Level: 95%</tr>
<tr id='row_7' class='header_bottom_margin'>
<th colspan='3'>Unweighted total<br/></tr>
<tr id='row_8' class='header_bottom_margin'>
<th colspan='3'>Effective Weighted Sample<br/></tr>
<tr id='row_9' class='header_bottom_margin'>
<th colspan='3'>Total<br/></tr>
<tr id='row_10' class='header_bottom_margin'>
<th colspan='3'>Send/receive text messages (SMS)<br/></tr>
<tr id='row_11' class='header_bottom_margin'>
<th colspan='3'>Take photos<br/></tr>
<tr id='row_12' class='header_bottom_margin'>
<th colspan='3'>General browsing/ surfing the internet<br/></tr>
<tr id='row_13' class='header_bottom_margin'>
<th colspan='3'>Send/receive emails (not SMS)<br/></tr>
<tr id='row_14' class='header_bottom_margin'>
<th colspan='3'>Send/receive messages with pictures/images<br/></tr>
<tr id='row_15' class='header_bottom_margin'>
<th colspan='3'>Columns Tested: a.b.c.d.e.f.g.h.i.j.k-l.m-n.o<br/></tr>
<tr id='row_16' class='header_bottom_margin'>
<th colspan='3'>Total<br/></tr>
<tr id='row_17' class='header_bottom_margin'>
<th colspan='3'>Significance Level: 95%</tr>
<tr id='row_18' class='header_bottom_margin'>
<th colspan='3'>Unweighted total<br/></tr>
<tr id='row_19' class='header_bottom_margin'>
<th colspan='3'>Effective Weighted Sample<br/></tr>
<tr id='row_20' class='header_bottom_margin'>
<th colspan='3'>Total<br/></tr>
<tr id='row_21' class='header_bottom_margin'>
<th colspan='3'>Send/receive text messages (SMS)<br/></tr>
<tr id='row_22' class='header_bottom_margin'>
<th colspan='3'>Take photos<br/></tr>
<tr id='row_23' class='header_bottom_margin'>
<th colspan='3'>General browsing/ surfing the internet<br/></tr>
<tr id='row_24' class='header_bottom_margin'>
<th colspan='3'>Send/receive emails (not SMS)<br/></tr>
<tr id='row_25' class='header_bottom_margin'>
<th colspan='3'>Send/receive messages with pictures/images<br/></tr>
<tr id='row_26' class='header_bottom_margin'>
<th colspan='3'>Columns Tested: a.b.c.d.e.f.g.h.i.j.k-l.m-n.o<br/></tr>
<tr id='row_27' class='header_bottom_margin'>
<th colspan='3'>Total<br/></tr>
<tr id='row_28' class='header_bottom_margin'>
<th colspan='3'>Significance Level: 95%</tr>
<tr id='row_29' class='header_bottom_margin'>
<th colspan='3'>Unweighted total<br/></tr>
<tr id='row_30' class='header_bottom_margin'>
<th colspan='3'>Effective Weighted Sample<br/></tr>
<tr id='row_31' class='header_bottom_margin'>
<th colspan='3'>Total<br/></tr>
<tr id='row_32' class='header_bottom_margin'>
<th colspan '6'><b>Sent/received text messages (SMS)</b><br/><b>(n=66)</b><br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no<br/>a b c defghijk lm no.<br/></b>/b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o/<br/><b>b/c/d/e/f/g/h/i/j/k/l/m/n/o<
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST WEST</th>
<th>EAST MID</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Unweighted total<br>3425<br>236<br>235<br>228<br>228<br>234<br>234<br>227<br>237<br>2485<br>940<br>1825<br>1589<br>1637<br>1788<br>Effective Weighted Sample<br>2318<br>209<br>222<br>218<br>209<br>217<br>217<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231<br>Total<br>2494<br>318<br>337<br>211<br>773<br>235<br>212<br>104<br>285<br>86%<br>4%<br>1571<br>969<br>1342<br>39%<br>54%<br>48%</br>User social networking e.g. Facebook, Twitter, LinkedIn, Snapchat<br>1221<br>49%<br>bodelfyi<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|<br>bodelfyi|
<tr style="border-top: 1px solid black;">
<td colspan="3">Use IM Instant Messaging (e.g. BBM, Apple Message, WhatsApp, Facebook Messenger, Snapchat)</table>
<table>
<tr style="border-top: 1px solid black;">
<td colspan="3">Download apps or programs directly to your phone</table>
<table>
<tr style="border-top: 1px solid black;">
<td colspan="3">Record video clips using the phone</table>
<table>
<tr style="border-top: 1px solid black;">
<td colspan="3">Columns Tested: a,b,c,d,e,f,g,h,j-k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
**QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)**
Base: Those who personally use a mobile phone
| | ENGLAND REGIONS | URBANITY | WORKING | DEPRIVATION LEVEL | |---|---|---|---|---| | Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDLANDS | EAST ENGLAND | YORKSHIRE AND THE HUMBER | NORTH EAST | NORTH WEST | URBAN | RURAL | YES | NO | LOW | MEDIUM | HIGH | | Significance Level: 95% | a | b | c | d | e | f | g | h | i | j | k | l | m | n | o | | Unweighted total | 3425 | 236 | 235 | 228 | 234 | 234 | 228 | 234 | 227 | 237 | 2485 | 940 | 1825 | 1589 | 1637 | 1788 | | Effective Weighted Sample | 2318 | 209 | 222 | 218 | 209 | 217 | 217 | 210 | 217 | 215 | 1923 | 428 | 1269 | 1089 | 1122 | 1231 | | Total | 4943 | 318 | 337 | 314% | 77% | 9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% %9% | | Play games | 658 | 34% | 47%: 28%,: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : | | bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: bdgfnv: | | Accessing/ receiving news | 842 | 34% | | bdeghjy | | bdeghjy | | bdeghjy | | bdeghjy |
Watching short video clips (e.g. on YouTube, Dailymotion or Vimeo) <watermark>Prepared by Saville Rossiter Base -01727 899 369</watermark>
| Column Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o | |---| | Skype | | Making video calls e.g. via Facetime, Skype | | Columns Tested <watermark>Prepared by Saville Rossiter Base -01727 899 369</watermark> |
<table>
<thead>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
<td>Significance Level:</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236</td>
<td>235</td>
<td>228</td>
<td>234</td>
<td>234</td>
<td>228</td>
<td>234</td>
<td>227</td>
<td>237</td>
<td>2485</td>
<td>940</td>
<td>1825</td>
<td>1589</td>
<td>1637</td>
<td>1788</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209</td>
<td>222</td>
<td>218</td>
<td>209</td>
<td>217</td>
<td>217</td>
<td>210</td>
<td>217</td>
<td>215</td>
<td>1923</td>
<td>428</td>
<td>1269</td>
<td>1089</td>
<td>1122</td>
<td>1231</td>
</tr>
<tr>
<td>Total</td>
<td>4943</td>
<td>318%</td>
<td>%33%</td><td>%37%</td><td>%3%</td><td>%3%</td><td>%3%</td><td>%3%</td><td>%3%</td><td>%3%</td><td>%6%</td><td>%6%</td><td>%6%</td><td>%6%</td><td>%6%</td><td>%6%</td><td>%6%</TD></tr><tr><th colspan="16">Play games<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<br>bdeghjy<b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y b de gh j y <br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></b e g h i<j k l m n o
<watermark>A. B. C. D. E. F. G. H. I-J. K-L. M-N.O.</watermark>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="16">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th colspan="5" style="text-align:right;">Table 45
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Base:
Those who personally use a mobile phone
Total
LONDON
SOUTH EAST
WEST
SOUTH WEST
EAST MIDLANDS
WEST ENGLAND
NORTH EAST
NORTH WEST
URBAN
RURAL
YES
NO
LOW
MEDIUM
HIGH
Significance Level:
Unweighted total
Effective Weighted Sample
Total
Play games
bdgfjn
Accessing/ receiving news
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
bdgehij
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="16">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th colspan="5" style="text-align:right;">Table 45
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level. Base: Those who personally use a mobile phone
Total
LONDON
SOUTH EAST
WEST
SOUTH WEST
EAST MIDLANDS
WEST ENGLAND
NORTH EAST
NORTH WEST
URBAN
RURAL
YES
NO
LOW
MEDIUM
HIGH
Significance Level:
Unweighted total
Effective Weighted Sample
Total
Play games
bdgfjn
Accessing/ receiving news
bdgeeii
Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
**QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)**
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<th>Significance Level: 95%</th>
<th>Total</th>
<th>a</th>
<th>b</th>
<th>c</th>
<th>d</th>
<th>e</th>
<th>f</th>
<th>g</th>
<th>h</th>
<th>i</th>
<th>j</th>
<th>k</th>
<th>l</th>
<th>m</th>
<th>n</th>
<th>o</th>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>234<br>228<br>234<br>227<br>237<br>2485<br>940<br>1825<br>1589<br>1637<br>1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td
<td rowspan="1" style="text-align: center;">Total</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<td>Total</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<td>Total</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<td>Total</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<td>Total table
<table border="1">
<thead style="" cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<thead cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing="" cellpadding="">
<tr cellspacing="" cellpadding="">
<tbody cellspacing=""
cellpadding="">
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>URAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425<br><br></td>
<td>236<br><br></td>
< td=""><br></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td></tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318<br>209<br>222<br>218<br>209<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br>215<br>210<br>217<br></table>
Total Significance Level: 95% Unweighted total Effective Weighted Sample Total Listen to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio Listening to FM radio
Watching TV programmes/films on catch-up services (e.g. BBC iPlayer, ITV Hub, AI4, Demand 5 or Sky Go) Accessing files through a cloud service such as Dropbox, Google Drive, Microsoft OneDrive or Apple Cloud. Sending a tweet on Twitter (through a text, an app, the browser, or phone's built-in feature) Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<td>EAST OF ENGLAND</td>
<th colspan="3">URBANITY WORKING DEPRIVATION LEVEL MED MEDIUM HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW高
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST WEST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE HUMBER</th>
<th>NORTH EAST WEST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW HIGH</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 234 234 228 234 227 237 2485 940 1825 1589 1637 1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209 222 218 209 217 217 215 210 217 1923 428 1269 1089 1122 1231</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>318 337 211 717 233 235 212 8% 9% 8% 9% 8% 8% 4% 1% 86% 14% 61% 39% 54% 48%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Listen to Podcasts</td>
<td>226</td>
<td>5% 17% bdehvi cdehiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efeiwiw efei wi w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w
</tr>
<table border="1">
<thead><tr><th>Watching other free professional TV programmes or video channels online (e.g. via official YouTube channels such as Channel+ or Jamie Oliver's Food Tube) or on other sites (e.g. South Park Studios)</th><th>9%</th><th>48<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj<br>bdeghj</th><th>48%<br>15%<br>8%<br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</br><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><br>13%</nbr><nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th colspan="6">Watching live TV on the internet at the same time as it is broadcast</th></tr><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border="0"><tbody><tr style="text-align:right;"><th rowspan="6">Column(s) mobile payment at point of sale: checkout(s)</th><th rowspan="6">8%<nb r="r" colspan="6"><table border=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 45
QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE Humber</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236</td>
<td>235</td>
<td>228</td>
<td>224</td>
<td>234</td>
<td>228</td>
<td>234</td>
<td>227</td>
<td>237</td>
<td>2485</td>
<td>940</td>
<td>1825</td>
<td>1589</td>
<td>1837</td><td>1788</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209</td>
<td>222</td>
<td>218</td>
<td>209</td>
<td>217</td>
<td>217</td>
<td>215</td>
<td>210</td>
<td>217</td>
<td>1923</td>
<td>428</td>
<td>1269</td>
<td>1089</td><td>1122</td><td>1231</td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>318</td>
<td>337</td>
<td>211</td>
<td>171</td>
<td>223</td>
<td>235</td>
<td>212</td>
<td>104</td>
<td>285</td><td>2155</td><td>340</td><td>1517</td><td>969</td><td>1342</td><td>1153</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="background-color: #f0f0f0;">
<th colspan="13">Watching purchased TV programmes/films online or downloads either via 'pay per view' services (e.g. iTunes, Google Play, Blinkbox) or via a 'standalone subscription' service (e.g. Netflix, Amazon Prime Instant)</th></tr>
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">Total (n= 192)</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">8%</th></tr>
<tr style="background-color: #f0f0f
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2o 6. 4h January to 29h February 6. 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'>
<table cellspacing='none'>
<thead align='center'>
<tr align='center'>
<th colspan='14'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 6. 4h January to 29h February 6.</table cellspacing='none'><tbody id=tbody_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5_5<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id=tfoot<tfoot id>t
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 45**
**QD15 (QD28A). SHOWCARD Which if any, of the following activities, other than making and receiving voice calls, do you use your mobile for? (MULTI CODE)**
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 234 234 228 234 227 237 2485 940 1825 1589 1637 1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209 222 218 209 217 217 215 210 217 1923 428 1269 1089 1122 1231</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>318 337 211 723 235 212 74% 9% 9% 8% 4% 11% 86% 14% 61% 39% 50% 83% 50%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
WEB / DATA ACCESS <watermark>70%</watermark>
<watermark>bcdgfhjklmno</watermark>
<watermark>WATCHING AV CONTENT</watermark>
<watermark>38%</watermark>
LISTEN TO AUDIO CONTENT <watermark>78%</watermark>
None of these <watermark>7%</watermark>
Columns Tested: a,b,c,d,e,f,g,h,j,k,l,m,n,o
<table border="1">
<thead><tr><th>Total</th><th>LONDON</th><th>SOUTH EAST</th><th>SOUTH WEST</th><th>EAST MIDLANDS</th><th>EAST OF ENGLAND</th><th>YORKSHIRE AND THE HUMBER</th><th>NORTH EAST</th><th>NORTH WEST</th><th>URBANITY YES NO LOW MEDIUM HIGH</th><th>DEPRIVATION LEVEL LOW MEDIUM HIGH</th><th>WORKING YES NO LOW MEDIUM HIGH</th><th>URBANITY WORKING YES NO LOW MEDIUM HIGH</th><th>DEPRIVATION LEVEL WORKING LOW MEDIUM HIGH</th><tr><th>Description</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><th>a b c d e f g h i j k l m n o</th><tr><thead><tr><td colspan="14"></thead><tbody><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><td colspan="14"></td></tr><tr><thead id="__annotation__"><tr id="__annotation__"><thead id="__annotation__"><tbody id="__annotation__"><row id="__annotation__" class="__annotation__"><col id="__annotation__" rowspan="1" colspan="1"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id="__annotation__" class="__annotation__"><div id "__ annotation __ " class "__ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation __ " __ annotation ____
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £1.9K £2.9K £30K+</td>
<td>E17.9K E19.9K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269 797</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>710 749 719 498</td>
<td>2083 2893 1787 279</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>3218 340 391 788</td>
<td>329 247 306 457</td>
<td>543 719 498 579</td>
<td>2096 3120 845 273</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1204</td>
<td>1290 361 456 895</td>
<td>287 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 3120 845 273</td>
</tr>
<tr>
<td>Send receive text messages (SMS)</td>
<td>2034<br>82%</td>
<td>969<br>1065<br>332<br>405</td>
<td>782<br>515<br>204<br>193</td>
<td>292<br>511<br>449<br>458</td>
<td>1716<br>162<br>98<br>68</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr>
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<table>
<thead>
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<th colspan="7">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th>
<th colspan="3">Table 46</th>
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<thead style='text-align:center;'>
<tr style='background-color:#f0f0f0;'>
<span style='font-size:smaller;'>Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</span> </span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>
<span style='font-size:smaller;'>Significance Level: 95%</span> <span style='font-size:smaller;'>Unweighted total Effective Weighted Sample Total Send receive text messages (SMS) General surfing/ browsing the internet Take photos Send/ receive emails (not SMS) Using social networking p.e.g. Facebook, Twitter, LinkedIn, Snapchat Columns Tested: a.b - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r.</span>&nb
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E17.9K E30K</td>
<td>C1 C2 DE</td>
<td>C1 C2 DE</td>
<td>WALES NI</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1296</td>
<td>b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>705 719 498 579</td>
<td>1059 728 883 2083</td>
<td>451 445 446</td>
<td>45 446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>t u v w x y z</td>
<td>340 391 788 812</td>
<td>329 247 306 457</td>
<td>543 719 498 579</td>
<td>1787 279 273</td>
<td>341</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2484 1204</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>361 456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120</td>
<td>68</td>
<td></td>
</tr>
<tr>
<td colspan="3">Use IM Instant Messaging (e.g. BBM, Apple Message, WhatsApp, Facebook Messenger, Snapchat)</td>
<td>48% 52%</td>
<td>14% 18% 36% 31%</td>
<td>11% 10% 14% 23%</td>
<td>27% 28% 22% 24%</td>
<td>84% 8% 5%</td>
<td>3%</td>
</tr>
<tr>
<td colspan="3">Send/receive messages with pictures/images</td>
<td>37% 34%</td>
<td>52% 29%</td>
<td>def ef f gh gh n n p q r s t u v w x y z</td>
<td>8% 8% 9% 9%</td>
<td>8% 8% (f) (g) (h) (i) (j) (k) (l) (m) (n) (o) (p) (q) (r) (s) (t) (u) (v) (w) (x) (y) (z)</td>
<td>(f) (g) (h) (i) (j) (k) (l) (m) (n) (o) (p) (q) (r) (s) (t) (u) (v) (w) (x) (y) (z)</td>
<td></td>
</tr>
<tr>
<td colspan="3">Play games Accessing/receiving news Download apps or programs directly to your phone</td>
<td>37% b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD1 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
| GENDER | Total | MALE | FEMALE | AGE GROUP | HOUSEHOLD INCOME | SOCIAL GROUP | NATION | |---|---|---|---|---|---|---|---| | Significance Level: 95% | | | | UNDER | AB | C1 | C2 | DE | ENG LAND | SCOT LAND | WALES | NI | | Unweighted total | 3425 | 1296 | 2129 | 16-24 | 25-34 | 35-54 | 55+ | $11.9K | $17.5K | $29.9K | E30K+ | x | m | k | 1095 | 728 | 2893 | 451 | 445 | | Effective Weighted Sample | 2318 | 1101 | 1217 | 340 | 391 | 788 | 812 | 329 | 247 | 309 | 457 | 543 | 719 | 498 | 579 | 1787 | 279 | 273 | | Total | 2484 | 1304 | 1280 | 361 | 456 | 895 | 782 | 278 | 240 | 341 | 576 | 669 | 868 | 549 | 588 | 2096 | 211 | | Watching short video clips (e.g. on YouTube, Dailymotion or Vimeo) (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) (l) (m) (n) (o) (p) (q) (r) (s) (t) (u) (v) (w) (x) (y) (z) (aa) (ab) (ac) (ad) (ae) (af) (ag) (ah) (ai) (aj) (ak) (al) (am) (an) (ao) (ap) (aq) (ar) (as) (at) (au) (av) (aw) (ax) (ay) (az): <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>Male</th>
<th>Female</th>
<th>GENDER</th>
<th>Age Group</th>
<th>Household Income</th>
<th>Social Group</th>
<th>Nation</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td><strong>Total</strong></td>
<td><strong>2484</strong></td>
<td><strong>1304</strong></td>
<td><strong>1280</strong></td>
<td><strong>Average Age:</strong><strong><em>(A)</em></strong><strong>(B)</strong><strong>(C)</strong><strong>(D)</strong><strong>(E)</strong><strong>(F)</strong><strong>(G)</strong><strong>(H)</strong><strong>(I)</strong><strong>(J)</strong><strong>(K)</strong><strong>(L)</strong><strong>(M)</strong><strong>(N)</strong><strong>(O)</strong><strong>(P)</strong><strong>(Q)</strong><strong>(R)</strong><strong>(S)</strong><strong>(T)</strong><strong>(U)</strong><strong>(V)</strong><strong>(W)</strong><strong>(X)</strong><strong>(Y)</strong><strong>(Z)</strong><strong>(AA)</strong><strong>(AB)</strong><strong>(AC)</strong><strong>(AD)</strong><strong>(AE)</strong><strong>(AF)</strong><strong>(AG)</strong><strong>(AH)</strong><strong>(AI)</strong><<strong>(AJ)</strong><<strong>(AK)</strong><<em style="color:red;">(AL)</em>><em style="color:red;">(AM)</em>><em style="color:red;">(AN)</em>><em style="color:red;">(AO)</em>><em style="color:red;">(AP)</em>><em style="color:red;">(AQ)</em>><em style="color:red;">(AR)</em>><em style="color:red;">(AS)</em>><em style="color:red;">(AT)</em>><em style="color:red;">(AU)</em>><em style="color:red;">(AV)</em>><em style="color:red;">(AW)</em>><em style="color:red;">(AX)</em>><em style="color:red;">(AY)</em>><em style="color:red;">(AZ):</em> </td>
<td>€ <= < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < <</td>
<td>€</td>
<td>€</td>
<td>€</td>
<td>€</td>
<td>€</td>
<td>€</td>
<td>€</td>
</tr>
<table border="1">
<thead>
<tr id='__annotation__rowinterval_0'>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='1'></th>
<th colspan='1' rowspan='3'>Total</th>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr id="__annotation__rowinterval_3">
<td id="__annotation__cellinterval_3_0"><span class="__annotation_item">Significance Level: </span></td>
<td id="__annotation__cellinterval_3_3"><span class="__annotation_item">Unweighted total</span></td>
<td id="__annotation__cellinterval_3_6"><span class="__annotation_item">Effective Weighted Sample</span></td>
<td id="__annotation__cellinterval_3_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_4">
<td id="__annotation__cellinterval_4_0"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_4_3"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_4_6"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_4_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_5">
<td id="__annotation__cellinterval_5_0"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_5_3"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_5_6"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_5_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_6">
<td id="__annotation__cellinterval_6_0"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_6_3"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_6_6"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_6_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_7">
<td id="__annotation__cellinterval_7_0"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_7_3"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_7_6"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_7_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_8">
<td id="__annotation__cellinterval_8_0"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_8_3"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_8_6"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_8_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_9">
<td id="__annotation__cellinterval_9_0"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_9_3"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_9_6"><span class="__annotation_item">Total</span></td>
<td id="__annotation__cellinterval_9_9"><span class="__annotation_item">Total</span></td>
</tr>
<tr id="__annotation__rowinterval_0">
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr id="__annotation__rowinterval_rowindex_start">
<!-- Row index start -->
<!-- Row index end -->
<!-- Row index start -->
<!-- Row index end -->
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<!-- Row index end -->
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<!-- Row index start -->
<!-- Row index end -->
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E17.5K</th>
<th>E17.9K</th>
<th>E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>m</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>1629</td>
<td>513</td>
<td>591</td>
<td>1142</td>
<td>1179</td>
<td></td>
<td>483</td>
<td>365</td>
<td>428</td>
<td>610</td>
<td>710</td>
<td>7059</td>
<td>728</td>
<td>889</td>
<td>2083</td>
<td>451</td>
<td>445</td>
<td>466</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr>
```
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Making video calls e.g. via Facetime, Skype<br/>Use your handset to help you shop e.g. compare prices online, read internet reviews, take photos of products<br/>Making voice calls using a VoIP service e.g. Viber, Skype<br/>Listen to FM radio<br/>Columns Tested: a.b - c.d.e.f.- g.h.i.j - k.l.m.n - o.p.q.r.</table>
</thead>
<tbody>
<tr>
<th rowspan="2">GENDER
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Making video calls e.g. via Facetime, Skype<br/>Use your handset to help you shop e.g. compare prices online, read internet reviews, take photos of products<br/>Making voice calls using a VoIP service e.g. Viber, Skype<br/>Listen to FM radio<br/>Columns Tested: a.b - c.d.e.f.- g.h.i.j - k.l.m.n - o.p.q.r.</table>
</thead>
</tr>
<tr>
<th rowspan="2">MALE
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Making video calls e.g. via Facetime, Skype<br/>Use your handset to help you shop e.g. compare prices online, read internet reviews, take photos of products<br/>Making voice calls using a VoIP service e.g. Viber, Skype<br/>Listen to FM radio<br/>Columns Tested: a.b - c.d.e.f.- g.h.i.j - k.l.m.n - o.p.q.r.</table>
</thead>
</tr>
<tr>
<th rowspan="2">FEMALE
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Making video calls e.g. via Facetime, Skype<br/>Use your handset to help you shop e.g. compare prices online, read internet reviews, take photos of products<br/>Making voice calls using a VoIP service e.g. Viber, Skype<br/>Listen to FM radio<br/>Columns Tested: a.b - c.d.e.f.- g.h.i.j - k.l.m.n - o.p.q.r.</table>
</thead>
</tr>
<tr>
<th rowspan="2">TOTAL
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Making video calls e.g. via Facetime, Skype<br/>Use your handset to help you shop e.g. compare prices online, read internet reviews, take photos of products<br/>Making voice calls using a VoIP service e.g. Viber, Skype<br/>Listen to FM radio<br/>Columns Tested: a.b - c.d.e.f.- g.h.i.j - k.l.m.n - o.p.q.r.</table>
</thead>
</tr>
<tr>
<th rowspan="2">TOTAL
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">TOTAL
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">TOTAL
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">TOTAL
<table>
<thead>
<tr>
<th rowspan="2"></th>
<th rowspan="2">TOTAL
</table>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table>
</thead>
</thead>
</table?>
/<img>A table showing data on OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</img>/p
```
<p style='text-align:center;'>Prepared by Saville Rossiter Base 01727 899 399 Table 46 All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</p>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>UNDER 11.9K £17.9K</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513</td>
<td>591 1142</td>
<td>1179 483</td>
<td>365 428</td>
<td>610 745</td>
<td>1059 728</td>
<td>889 2083</td>
<td>451 445 446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340</td>
<td>391 788</td>
<td>812 329</td>
<td>247 309</td>
<td>457 543</td>
<td>719 498</td>
<td>579 1787</td>
<td>279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1290 361</td>
<td>456 895</td>
<td>782 278</td>
<td>341 576</td>
<td>669 686</td>
<td>549 588</td>
<td>2096 211</td>
<td>120 68</td>
</tr>
<tr>
<td>Sending a tweet on Twitter (through a web, an app, the browser, or phones built-in features)</td>
<td>48% 52%</td>
<td>14% 18%</td>
<td>36% 31%</td>
<td>11% 10%</td>
<td>14% 23%</td>
<td>27% 28%</td>
<td>22% 24%</td>
<td>84% 8%</td>
<td>5% 3%</td>
</tr>
<tr>
<td>Accessing files through a cloud service such as Dropbox, Google Drive, Microsoft OneDrive or Apple iCloud.</td>
<td>52% 48%</td>
<td>37% 26%</td>
<td>32% 5%</td>
<td>5% 6%</td>
<td>7% 12%</td>
<td>31% 38%</td>
<td>30% 17%</td>
<td>16% 88%</td>
<td>7% 4%</td>
</tr>
<tr>
<td>Catching up services (e.g. BBC Player, ITV Hub, Aula, Demand or Sky Go)</td>
<td rowspan="2">50% 50%</td><td rowspan="2">50% 50%</td><td rowspan="2">25% 28%</td><td rowspan="2">26% 37%</td><td rowspan="2">12% 9%</td><td rowspan="2">9% 9%</td><td rowspan="2">13% 30%</td><td rowspan="2">32% 34%</p></tr><tr></tr><tr><th colspan="10">Columns Tested: ab - c.e.f. / g.h.j - k.l.m.n - o.p.q.r </th></tr></tbody></table>
Prepared by Saville Rossiter Base: \<page_number>DIT727 B99 399 \</page_number>
<table style="width: auto; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></than td style="border: none;"></tr>
```
<tr style="background-color: #f0f0f0;">
<td colspan="3" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</td>
<td colspan="3" style="text-align:center;">All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</table>
```
<table style="width: auto; border-collapse: collapse;">
<tr style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f0f0f0;">
<thead style="background-color: #f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.5K E17.5K E29.5K E30K+</td>
<td>C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1296</td>
<td>6 b c c 1</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>705 1099 728 283</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340</td>
<td>391 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1296 361</td>
<td>456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>14% 18%</td>
<td>36% 31%</td>
<td>11% 10% 14% 23%</td>
<td>27% 28% 22% 24%</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>84%<br/>8%<br/>5%</td><td>3%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/></tr>
<tr>
<td colspan="3">Watching other free professional TV programmes on the internet (e.g. via official YouTube channels such as Channel 4 or Jamie Oliver's Foodtube) or on other sites (e.g. South Park Stunts)</td>
<td colspan="2"></table>
<table border="1">
<thead>
<tr style="background-color: #cccccc;">
<th rowspan="2">Contactless mobile payment at point of sale/checkout(s)</th>
<th rowspan="2">Listen to Podcasts</th>
<th rowspan="2">Watch live TV on the internet at the same time as it is broadcast</th>
<th rowspan="2">Columns Tested: a<b>b-c.e.f.-g.h.i-j-k.l.m.n-o.p.q.r</b></th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Total number of respondents (N)</th><br/>
<th rowspan="2">Table Code: A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/>A B C D E F G H I J K L M N O P Q R<br/></table>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align:center;">OFCOM NATIONALS & REGIONS TRACKER - MAIN SET - <u>H1 2016. 4TH JANUARY TO 29TH FEbruary 2016.</u></th><br/>
<u>Table <b>A46</b></u> </table>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align:center;">OFCOM NATIONALS & REGIONS TRACKER - MAIN SET - <u>H1 2016. 4TH JANUARY TO 29TH FEbruary 2016.</u></th><br><u>Table <b>A46</b></u><br>
<u>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</u><br>
<u>DQD1 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)<br></u><br>
<u>Base : Those who personally use a mobile phone<br></u><br>
<u>GENDER<br>AGE GROUP<br>HOUSEHOLD INCOME<br>SOCIAL GROUP<br>NATION<br></u><br>
<u>Significance Level: 95%</u><br>
<u>Total<br>Unweighted total<br>Effective Weighted Sample<br>Total<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br></u><br>
<u>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the internet<br>Watch other free professional TV programmes on the interne...><br/></table>
<table border='1'>
<tr style='background-color: #cccccc;' align='center'>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>·<br/>
<b>Total Number Of Respondents:</b>&#x...
```json
[
{"name":"GENDER","values":["MALE","FEMALE"]},
{"name":"AGE GROUP","values":["16-24","25-34","35-54","55+"]},
{"name":"HOUSEHOLD INCOME","values":["E11.5K","E17.5K","E29.5K","E30K+"]},
{"name":"SOCIAL GROUP","values":["C1","C2","DE"]},
{"name":"NATION","values":["ENG LAND","SCOT LAND","WALES","NI"]}
]
```json
[
{"name":"SIGNIFICANCE LEVEL","values":["95%"]}
]
```json
[
{"name":"TOTAL NUMBER OF RESPONDENTS","values":["TOTAL NUMBER OF RESPONDENTS"]}
]
```json
[
{"name":"UNWEIGHTED TOTAL","values":["UNWEIGHTED TOTAL"]}
]
```json
[
{"name":"EFFECTIVE WEIGHTED SAMPLE","values":["EFFECTIVE WEIGHTED SAMPLE"]}
]
```json
[
{"name":"TOTAL","values":["TOTAL"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET","values":["WATCHING OTHER FREE PROFESSIONAL TV PROGRAMMES ON THE INTERNET"]}
]
```json
[
{"name":"WATCHING OTHER FREE PROFESSIONAL-TV-PROGRAMME-ON-THE-INTERNET", "value": "WATCHING OTHER FREE PROFESSIONAL-TV-PROGRAMME-ON-THE-INTERNET"}
]
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD1 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>55+ UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>s b c d e f g h i j k mn op qr</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269 1796</td>
<td>513 591 1142</td>
<td>1179</td>
<td>483 365 428 610</td>
<td>710 1059 728 283</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>340 391 788</td>
<td>812 329 247 309</td>
<td>457 543 719 498</td>
<td>579 1787 279 273</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1204</td>
<td>361 456 895</td>
<td>782 278 240 341</td>
<td>576 669 686 549</td>
<td>588 2096 211 120</td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>14% 18% 36% 31%</td>
<td>11% 10% 14% 23%</td>
<td>27% 28% 22% 24%</td>
<td>84% 8% 5% 3%</td>
</tr>
<tr>
<td>Watching purchased TV programmes on your phone or downloading either via 'pay per view' services (e.g. iTunes, Google Play, Blinkbox) or via a standalone subscription service (e.g. Netflix, Amazon Prime Instant)</td>
<td>102<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>52<br>4%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: right;">50</td>
<td style="text-align: center;">30<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">of<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">at<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">ef<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<td style="text-align: left;">af<br>%<table border="0">
<tbody>
<tr style="background-color: #f0f0f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.5K E17.5K E29.5K</td>
<td>E17.5K E29.5K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>745 1059 728 889</td>
<td>2083 451 445 446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340 391 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1290 361 456 896 782</td>
<td>278 240 341 578</td>
<td>669 686 549 588</td>
<td>2096 211 120 68</td>
</tr>
<tr>
<td>WATCHING AV CONTENT</td>
<td>661<br>331<br>28%</td>
<td>329<br>174<br>202<br>235<br>49<br>58<br>98<br>211<br>176<br>199<br>129<br>157<br>587<br>31<br>32<br>11<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>LISTEN TO AUDIO CONTENT</td>
<td>596<br>319<br>28%</td>
<td>277<br>171<br>158<br>215<br>52<br>50<br>41<br>87<br>207<br>178<br>180<br>121<br>116<br>S2I<br>A3T<br>BZT<br>CJF<br>DZT<br>EJF<br>FJF<br>GJF<br>HJF<br>IJF<br>JJF<br>KJF<br>LJF<br>MJF<br>NJF<br>OJF<br>PJF<br<QM<BR>RJF<br>SJF<br>TJF<br<UQ<BR>VJF<br<WQ<BR>XJF<br>ZJF</TD>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="3">None of these</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r
Prepared by Saville Rossiter Base : \<page_number>DITPZBQV-00000000-0000-0000-0000-000000000000-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0- \</page_number>
Table 46 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 46**
**QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)**
**Base:** Those who personally use a mobile phone
| Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MID | EAST WEST | EAST OF ENG | YORKSHIRE | NORTH EAST | NORTH WEST | URBAN | RURAL | RURAL | YES | NO | LOW | HIGH | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | | | | | | | | | | | i | k | l | m | n | o | | Unweighted total | 3425 | 236 | 235 | 228 | 234 | 234 | 228 | 234 | 227 | 237 | 2485 | 940 | 1825 | 1589 | 1637 | 1788 | | Effective Weighted Sample | 3218 | 209 | 222 | 218 | 209 | 217 | 215 | 210 | 217 | 1923 | 428 | 1269 | 1089 | 1122 | 1231 | | Total | 2494 | 318 | 337 | 311 | 271 | 223 | 235 | 212 | 285 | 2155 | 340 | 1517 | 969 | 1342 | 1153 | | Send/receive text messages (SMS) (SM) %: <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br><table>
<thead>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST WEST</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>RURAL</th>
<th>YES</th>
<th:NO</th>
<th>LOW</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>a<br>b<br>c<br>d<br>e<br>f<br>i<br>j<br>k<br>m<br>n<br>p<br>r<br>s<br>t<br>v<br>w<br>x<br>y<br>Z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td><strong>Total</strong></td>
<td><strong>LONDON</strong></td>
<td><strong>SOUTH EAST</strong></td>
<td><strong>SOUTH WEST</strong></td>
<td><strong>EAST MID</strong></td>
<td><strong>EAST WEST</strong></td>
<td><strong>EAST OF ENG</strong></td>
<td><strong>YORKSHIRE</strong></td>
<td><strong>NORTH EAST</strong></td>
<td><strong>NORTH WEST</strong></td>
<td><strong>URBAN</strong></td>
<td><strong>RURAL</strong></td>
<td><strong>RURAL</strong></td>
<td><strong:YES</strong></td>
<td><strong:NO</strong></td>
<td><strong>LOW</strong></td>
<td><strong>HIGH</strong></td>
</tr>
<tr>
<td rowspan="3">Significance Level: 95%</td>
<td rowspan="3">Unweighted total<br>Total<br>Total</td>
<td rowspan="3">3425<br><u style="font-size: smaller;">Total:</u><u style="font-size: smaller;">3425</u>|<u style="font-size: smaller;">LONDON:</u>|<u style="font-size: smaller;">a:</u>|<u style="font-size: smaller;">b:</u>|<u style="font-size: smaller;">c:</u>|<u style="font-size: smaller;">d:</u>|<u style="font-size: smaller;">e:</u>|<u style="font-size: smaller;">f:</u>|<u style="font-size: smaller;">i:</u>|<u style="font-size: smaller;">j:</u>|<u style="font-size: smaller;">k:</u>|<u style="font-size: smaller;">m:</u>|<u style="font-size: smaller;">n:</u>|<u style="font-size: smaller;">p:</rul>|<u style="font-size: smaller;">r:</rul>|<u style="font-size: smaller;">s:</rul>|<u style="font-size: smaller;">t:</rul>|<u style="font-size: smaller;">v:</rul>|<u style="font-size: smaller;">w:</rul>|<u style="font-size: smaller;">x:</rul>|<u style="font-size: smaller;">y:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: smaller;">Z:</rul>|<u style="font-size: small
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28): SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base: Those who personally use a mobile phone
| Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDLANDS | EAST OF ENGLAND | YORKSHIRE AND HUMBER | NORTH EAST | NORTH WEST | URBAN | RURAL | YES NO | LOW HIGH | |---|---|---|---|---|---|---|---|---|---|---|---|---| | Significance Level: 95% | | | | | | | | | | | | | | Unweighted total | 3425 | 236 | 235 | 228 | 234 | 234 | 228 | 234 | 227 | 237 | 2485 | 940 | 1825 | 1589 | 1637 | 1788 | | Effective Weighted Sample | 2318 | 209 | 222 | 218 | 209 | 217 | 217 | 215 | 210 | 217 | 1923 | 428 | 1289 | 1089 | 1122 | 1231 | | Total | 2494 | 318 | 337 | 317 | 211 | 773 | 235 | 212 | 104 | 285 | 2155 | 340 | 1517 | 969 | 1342 | 1153 | | Use IM Instant Messaging (e.g. BBM, Apple Message, WhatsApp, Facebook Messenger, Snapchat) | | Unweighted total (n=935) (n=37%)<br>Significance Level: n=935<br>Unweighted total (n=935) (n=37%)<br>Effective Weighted Sample (n=2318) (n=69%)<br>Total (n=2494) (n=69%)<br>Use IM Instant Messaging (e.g. BBM, Apple Message, WhatsApp, Facebook Messenger, Snapchat)<br>Send/receive messages with pictures/images<br>Play games<br>Accessing/receiving news | | bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq<br>bodefjwq)<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o |
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW HIGH</td>
<td>n o</td>
</tr>
<tr>
<td>Significance Level: n=935</td>
<td>a b c d e f g h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>h i j k l m n o</td>
<td>n o</td>
</tr>
<tr>
<td>Unweighted total (n=3425) (n=69%)<table id='table_0'>
<thead id='header_0'>
<tr id='row_0'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)</th>
<th colspan='4'>Unweighted total (n=3425) (n=69%)</th>
<th colspan='4'>Effective Weighted Sample (n=2318) (n=69%)</th>
<th colspan='4'>Total (n=2494) (n=69%)</th>
<th colspan='4'>Use IM Instant Messaging (e.g. BBM, Apple Message, WhatsApp, Facebook Messenger, Snapchat)</th>
<th colspan='4'>Send/receive messages with pictures/images</th>
<th colspan='4'>Play games</th>
<th colspan='4'>Accessing/receiving news</th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<th colspan='4'></th>
<tr id='row_0'>
<td></td>
<table id='table_0_row_0_column_0'>
<tr id='row_0_column_0'>
<td style="text-align:center;">Total</td>
<table id='table_0_row_0_column_0_column_0'>
<tr id='row_0_column_0_column_0'>
<td style="text-align:center;">Significance Level: n=935</td>
<table id='table_0_row_0_column_0_column_0_column_0'>
<tr id='row_0_column_0_column_0_column_0'>
<td style="text-align:center;">Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table'>
<thead id='header_0_table'>
<tr id='row_0_table'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table_row'>
<thead id='header_0_table_row'>
<tr id='row_0_table_row'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table_row_column'>
<thead id='header_0_table_row_column'>
<tr id='row_0_table_row_column'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table_row_column_column'>
<thead id='header_0_table_row_column_column'>
<tr id='row_0_table_row_column_column'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table_row_column_column_column'>
<thead id='header_0_table_row_column_column_column'>
<tr id='row_0_table_row_column_column_column'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table_row_column_column_column_column'>
<thead id='header_0_table_row_column_column_column_column'>
<tr id='row_0_table_row_column_column_column_column'>
<th colspan='16'>Unweighted total (n=3425) (n=69%)<table id='table_0_row_0_column_0_column_0_column_0_table_row_column_column_column_column_column'>
<thead id='header_0_table_row_column_column_column_column_column'>
<tr id='row_0_table_row_column_column_column_column'>
<table cellspacing="none" border="none">
<tr cellspacing="none" border="none">
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
```
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display: block; width: auto; height: auto;"></td>
<td style="border-top: solid black; border-bottom: solid black; border-right: solid black; border-left: solid black; padding: none; margin: none; display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack:border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></td>
<tr cellspacing="none" border="none">
<tbody cellspacing="none" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing="" rowspan="" class="" style="">
<tr cellspacing="" rowspan="" class="" style="">
<tbody cellspacing=""
rowspan=""
class=""
style=""
>
</tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody></tr></tbody/></table>
```
<table cellspacing="none" border="none">
<tr cellspacing="none" border="none">
<td style="border-top:solidblack;border-bottom:solidblack;border-right:solidblack;border-left:solidblack;padding:none;margin:none;display:block;width:auto;height:auto;"></ td>
```
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":"solidblack"; "b order:"right":"solidblack"; "b order:"left":"solidblack"; "padding":"none"; "margin":"none"; "display":"block"; "width":"auto"; "height":"auto"></ td>
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":"solidblack"; "b order:"right":"solidblack"; "b order:"left":"solidblack"; "padding":"none"; "margin":"none"; "display":"block"; "width":"auto"; "height":"auto"></ td>
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":"solidblack"; "b order:"right":"solidblack"; "b order:"left":"solidblack"; "padding":"none"; "margin":"none"; "display":"block"; "width":"auto"; "height":"auto"></ td>
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":"solidblack"; "b order:"right":"solidblack"; "b order:"left":"solidblack"; "padding":"none"; "margin":"none"; "display":"block"; "width":"auto"; "height":"auto"></ td>
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":"solidblack"; "b order:"right":"solidblack"; "b order:"left":"solidblack"; "padding":"none"; "margin":"none"; "display":"block"; "width":"auto"; "height":"auto"></ td>
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":"solidblack"; "b order:"right":"solidblack"; "b order:"left":"solidblack"; "padding":"none"; "margin":"none"; "display":"block"; "width":"auto"; "height":"auto"></ td>
< tdstyle ="b order:"top":"solidblack"; "b order:"bottom":s
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>MEDIUM LOW</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>228<br>209<br>217<br>217<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Effective Weighted Sample Total</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Description</th>
<th>Total Count</th>
<th>LONDON (%)</th>
<th>SOUTH EAST (%)</th>
<th>SOUTH WEST (%)</th>
<th>EAST MIDLANDS (%)</th>
<th>EAST OF ENGLAND (%)</th>
<th>YORKSHIRE AND THE HUMBER (%)</th>
<th>NORTH EAST (%)</th>
<th>NORTH WEST (%)</th>
<th>URBAN (%)<sup>*</sup></th>
<th>RURAL (%)<sup>*</sup></th>
<th>MEDIUM LOW (%)<sup>*</sup></th>
<th>HIGH (%)<sup>*</sup></th>
</tr>
</thead>
```
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th>Description:</th>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
<tr style="text-align: center;">
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
</thead>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
```
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th>Description Type (e.g., "Download apps or programs directly to your phone"):</th>
```
<tr style="text-align: center;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
Description Type (e.g., "Download apps or programs directly to your phone"):
</thead>
<!-- Table content -->
</thead>
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 234 228 234 237 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217 217 215 210 217</td>
<td>9 h i j k l m n o</td>
<td>485</td>
<td>940</td>
<td>1853</td>
<td>1859</td>
<td>637</td>
<td>788</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr>
<tr>
<td>Effective Weighted Sample</td>
<td>3438</table>
Total \<tabular_data style="border-collapse: collapse;"> <tr style="text-align:center;"> <th>Total</th> <th>LONDON a b c d e f g h i j k l m n o</th> <th>SOUTH EAST</th> <th>SOUTH WEST</th> <th>EAST MIDLANDS</th> <th>EAST OF ENGLAND ENG HUMBER YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL RURAL YES NO LOW MEDIUM HIGH HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High Low Medium High低Medium高LowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMediumHighLowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHiglowMiddelHi OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE) Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST WEST</th>
<th>EAST MID</th>
<th>EAST MID</th>
<th>EAST ENG</th>
<th>EAST YORKS</th>
<th>NORTH YORKS</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>m n o</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Unweighted total<br>3425<br>Effective Weighted Sample<br>Total<br>2318<br>209<br>318<br>337<br>13%<br>14%<br>8%<br>7%<br>9%<br>13%<br>14%<br>8%<br>7%<br>9%<br>13%</table>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="2">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
</thead>
<tbody style="text-align: center;">
<tr style="text-align: center;">
<th>Total</th> <!-- Total -->
<th>LONDON</th> <!-- LONDON -->
<th>SOUTH EAST</th> <!-- SOUTH EAST -->
<th>SOUTH WEST</th> <!-- SOUTH WEST -->
<th>EAST WEST</th> <!-- EAST WEST -->
<th>EAST MID</th> <!-- EAST MID -->
<th>EAST MID</th> <!-- EAST MID -->
<th>EAST ENG</th> <!-- EAST ENG -->
<th>EAST YORKS</th> <!-- EAST YORKS -->
<th>NORTH YORKS</th> <!-- NORTH YORKS -->
<th>NORTH EAST</th> <!-- NORTH EAST -->
<th>NORTH WEST</th> <!-- NORTH WEST -->
<th>URBAN</th> <!-- URBAN -->
<th>RURAL</th> <!-- RURAL -->
<th>RURAL</th> <!-- RURAL -->
<th>YES NO LOW MEDIUM HIGH </th> <!-- YES NO LOW MEDIUM HIGH -->
</tr>
```
<tr style="text-align: center;">
<t
```
````html
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="2">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
</thead>
<tbody style="text-align: center;">
<tr style="text-align: center;">
<t
```html
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
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```html
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<tr style="text-align: center;">
t
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<tr style="text-align: center;">
t
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```html
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t
```html
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t
```html
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t
```html
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t
```html
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<tr style="text-align: center;">
t
```html
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t
```html
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```html
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t
```html
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
t
```html
<table border "1" cellspacing = "none" cellpadding = "none" width = "55%" align = "center" valign = "top" >
<tr height = "5px" >
<td height = "5px" > OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016. </table>
<tr height = "5px" >
<td height = "5px" > All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 10 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</table>
<tr height = "5px" >
<td height = "5px" > QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE) </table>
<tr height = "5px" >
<td height = "5px" > Base : Those who personally use a mobile phone </table>
<tr height = "5px" >
<td height = "5px" > Significance Level : 95% </table>
<tr height = "5px" >
<td height = "5px" > Unweighted total </table>
<tr height = "5px" >
<td height = "5px" > Effective Weighted Sample </table>
<tr height = "5px" >
<td height = "5px" > Total </table>
<tr height = "5px" >
<td height = "5px" > Making voice calls using a VoIP service e.g. Voice Skype </table>
<tr height = "5px" >
<td height = "5px" > Listen to FM radio </table>
<tr height = "5px" >
<td height = "5px" > Sending a tweet on Twitter (through a text, an app, the browser, or phone's built-in calendar) </table>
<tr height = "5px" >
<td height = "5px" > Accessing files through a cloud service such as Dropbox, Google Drive, Microsoft OneDrive or Apple iCloud </table>
<tr height = "5px" >
<td height = "5px" > Columns Tested : a,b,c,d,e,f,g,h,i-j,k-l,m-n,o </table>
<tr height = "5px" >
<td height = "5px" > Total </table>
<tr height = "5px" >
<td height = "5px" > London </table>
<tr height = "5px" >
<td height = "5px" > South East </table>
<tr height = "5px" >
<td height = "5px" > South West </table>
<tr height = "5px" >
<td height = "5px" > East West </table>
<tr height = "5px" >
<td height = "5px" > East Mid </table>
<tr height = "5px" >
<td height = "5px" > East Mid </table>
<tr height = "5px" >
<td height = "5px" > East Eng </table>
<tr height = "5px" >
<td height = "5px" > East Yorks </table>
<tr height = "5px" >
<td height = "5px" > North Yorks </table>
<tr height = "5px" >
<td height = "5px" > North East </table>
<tr height = "5px" >
<td height = "5px" > North West </table>
<tr height = "5px" >
<td height = "5px" > Urbanity </table>
<tr height = "5px" >
<td height = "5px" > Rurality </table>
<tr height = "5px" >
<td height = "5px" > Yes No Low Medium High </table>
<tr height = "5px" >
<td height = "5px" > Total </table>
<tr height = "5px" >
<td height = "5px" > London </table>
<tr height = "5px" >
<td height = "5px" > South East </table>
<tr height = "5px" >
<td height = "5px" > South West </table>
<tr height = "5px" >
<td height = "5px" > East West </table>
<tr height = "5px" >
<td height = "5px" > East Mid </table>
<tr height = "5px" >
<td height = "5px" > East Mid </table>
<tr height = "5px" >
<td height = "5px" > East Eng </table>
<tr height = "5px" >
<td height = "5px" > East Yorks </table>
<tr height = "5px" >
<td height = "5px" > North Yorks </table>
<tr height = "5px" >
<td height = "5px" > North East </table>
<tr height = "5px" >
<td height = "5px" > North West </table>
<tr height = "5px" >
<td height = "5px" > Urbanity </table>
<tr height = "5px" >
<td height = "5px" > Rurality </table>
<tr height = "5px" >
<td height = "5px" > Yes No Low Medium High </table>
<tr height= '3' cellspacing='none' cellpadding='none' width='4%' align='center' valign='top'>
t
t
t
t
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Prepared by Saville Rossiter Base : 999/399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI.CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>228<br>234<br>234<br>217<br>217<br>215<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209<br>222<br>218<br>209<br>217<br>217<br>215<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231<br> </td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
Total
<table border="1">
<tbody>
<tr>
<th>Total (n)</th>
<th>Total (n)</th>
<th>LONDON (n)</th>
<th>SOUTH EAST (n)</th>
<th>SOUTH WEST (n)</th>
<th>EAST MIDLANDS (n)</th>
<th>EAST OF ENGLAND (n)</th>
<th>YORKSHIRE AND THE HUMBER (n)</th>
<th>NORTH EAST (n)</th>
<th>NORTH WEST (n)</th>
<th>URBAN (n)</th>
<th>RURAL (n)</th>
<th>YES (n)</th>
<th>NO (n)</th>
<th>LOW (n)</th>
<th>MEDIUM (n)</th>
<th>HIGH (n)</th>
</tr>
<tr>
<td>Total (n)</td>
<td>Total (n)</td>
<td>LONDON (n)</td>
<td>SOUTH EAST (n)</td>
<td>SOUTH WEST (n)</td>
<td>EAST MIDLANDS (n)</td>
<td>EAST OF ENGLAND (n)</td>
<td>YORKSHIRE AND THE HUMBER (n)</td>
<td>NORTH EAST (n)</td>
<td>NORTH WEST (n)</td>
<td>URBAN (n)</td>
<td>RURAL (n)</td>
<td>YES (n)</td>
<td>NO (n)</td>
<td>LOW (n)</td>
<td>MEDIUM (n)</td>
<td>HIGH (n)</td>
</tr>
<tr>
<!-- Unweighted total -->
<tr style="background-color: #f0f0f0;">
<th colspan="3">Unweighted total:</th><!-- Total -->
<th colspan="3">LONDON:</th><!-- London -->
<th colspan="3">SOUTH EAST:</th><!-- South East -->
<th colspan="3">SOUTH WEST:</th><!-- South West -->
<th colspan="3">EAST MIDLANDS:</th><!-- East Midlands -->
<th colspan="3">EAST OF ENGLAND:</th><!-- East of England -->
<th colspan="3">YORKSHIRE AND THE HUMBER:</th><!-- Yorkshire and the Humber -->
<th colspan="3">NORTH EAST:</th><!-- North East -->
<th colspan="3">NORTH WEST:</th><!-- North West -->
<th colspan="3">URBAN:</th><!-- Urban -->
<th colspan="3">RURAL:</th><!-- Rural -->
<th colspan="3">YES:</th><!-- Yes -->
<th colspan="3">NO:</th><!-- No -->
<th colspan="3">LOW:</th><!-- Low -->
<th colspan="3">MEDIUM:</th><!-- Medium -->
<th colspan="3">HIGH:</th><!-- High -->
</tr>
<tr style="background-color: #f0f0f0;">
<!-- Unweighted total -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- Total -->
<tr style="background-color: #f0f0f0;">
<td style="text-align:center;">Total (n): 3425</td><!-- Total -->
</tr>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
<table border="1">
<tbody>
<!-- London -->
<tr style="background-color: #f0f0f0;">
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr><!-- row -->
</table><!-- table -->
</tbody>
</tr<!-- row -->
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>228<br>234<br>217<br>217<br>215<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</table>
<tfoot><tr><th colspan="14"></th></tr><tr><th colspan="14"></th></tr></tfoot>
Total
<tabular><thead><tr><th rowspan="3">Listen to Podcasts</th><th rowspan="3">Total</th><th rowspan="3">LONDON</th><th rowspan="3">SOUTH EAST</th><th rowspan="3">SOUTH WEST</th><th rowspan="3">EAST MIDLANDS</th><th rowspan="3">EAST OF ENGLAND</th><th rowspan="3">YORKSHIRE AND THE HUMBER</th><th rowspan="3">NORTH EAST</th><th rowspan="3">NORTH WEST</th><th rowspan="3">URBANITY</th><th rowspan="3">RURALITY</th><th rowspan="3">YES NO LOW MEDIUM HIGH o p q r s t u v w x y z</th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th></table>
Listen to Podcasts
<tabular><thead><tr><th rowspan="3">Watch live TV on the internet at the same time as it is broadcast</th><th rowspan="3">Total</th><th rowspan="3">LONDON</th><th rowspan="3">SOUTH EAST</th><th rowspan="3">SOUTH WEST</th><th rowspan="3">EAST MIDLANDS</th><th rowspan="3">EAST OF ENGLAND</th><th rowspan="3">YORKSHIRE AND THE HUMBER</th><th rowspan="3">NORTH EAST</th><th rowspan="3">NORTH WEST</th><th rowspan="3">URBANITY</th><th rowspan="3">RURALITY</th><th rowspan="3">YES NO LOW MEDIUM HIGH o p q r s t u v w x y z</th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></table>
Watch live TV on the internet at the same time as it is broadcast
<tabular><thead><tr><th rowspan="3">Watching purchased TV programmes/ films online or downloaded over via 'pay per view' service (e.g. Sky, Freesat, Google Play, Blinkbox) or via a 'standalone' subscription service (e.g. Netflix, Amazon Prime Instant)</th><th rowspan="3">Total</th><th rowspan="3">LONDON</th><th rowspan="3">SOUTH EAST</th><th rowspan="3">SOUTH WEST</th><th rowspan="3">EAST MIDLANDS</th><th rowspan="3">EAST OF ENGLAND</th><th rowspan="3">YORKSHIRE AND THE HUMBER</th><th rowspan="3">NORTH EAST</th><th rowspan="3">NORTH WEST</th><th rowspan="3">URBANITY</th><th rowspan="3">RURALITY</th><th rowspan="3">YES NO LOW MEDIUM HIGH o p q r s t u v w x y z</table>
Watching purchased TV programmes/ films online or downloaded over via 'pay per view' service (e.g. Sky, Freesat, Google Play, Blinkbox) or via a 'standalone' subscription service (e.g. Netflix, Amazon Prime Instant)
<tabular><thead><tr><<th>LONDON
<th>SOUTH EAST
<th>SOUTH WEST
<th>EAST MIDLANDS
<th>EAST OF ENGLAND
<th>YORKSHIRE AND THE HUMBER
<th>NORTH EAST
<th>NORTH WEST
<th>URBANITY
<th>RURALITY
<th>YES NO LOW MEDIUM HIGH o p q r s t u v w x y z
Columns Tested: a,b,c,d,e,f,g,h,i,j,k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL URBAN</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236</td>
<td>235</td>
<td>228</td>
<td>234</td>
<td>234</td>
<td>228</td>
<td>234</td>
<td>227</td>
<td>237</td>
<td>2485</td>
<td>940 1825 1589 1637 1788</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>209</td>
<td>222</td>
<td>218</td>
<td>209</td>
<td>217</td>
<td>217</td>
<td>215</td>
<td>210</td>
<td>217</td>
<td>1923 428 1269 1089 1122 1231</td>
</tr>
<tr>
<td>Total</td>
<td>2494</td>
<td>318</td>
<td>337</td>
<td>211</td>
<td>771</td>
<td>233</td>
<td>235</td>
<td>212</td>
<td>104</td>
<td>285</td>
<td>2155 340 1517 969 1342 1153</td>
</tr>
<table border="1">
<caption>Detailed breakdown of usage frequency for mobile phone activities.</caption>
<tr style="background-color: #e6e6e6;">
<th></th><th colspan="4">REMOTE TV SERVICES AT HOME:</th><th colspan="4">ONE OR TWO TIMES A WEEK:</th><th colspan="4">THREE OR MORE TIMES A WEEK:</th><th colspan="4">EVERY DAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND TUESDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND WEDNESDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND THURSDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND FRIDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND SATURDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND SUNDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND TUESDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND WEDNESDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND THURSDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND FRIDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SATURDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SUNDAY AND TUESDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SUNDAY AND WEDNESDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SUNDAY AND THURSDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SUNDAY AND FRIDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SUNDAY AND SATURDAY:</th><th colspan="4">EVERY DAY EXCEPT SUNDAY AND MONDAY AND SUNDAY AND SUNDAY AND TUESDAY:</th><tr>
<tr style="background-color: #e6e6e6;">
<th></th><td style="text-align:center;">79<br/>3%</td><td style="text-align:center;">6<br/>2%</td><td style="text-align:center;">9<br/>3%</td><td style="text-align:center;">8<br/>5%</td><td style="text-align:center;">9<br/>5%</td><td style="text-align:center;">3<br/>1%</td><td style="text-align:center;">3<br/>1%</td><td style="text-align:center;">12<br/>6%</td><td style="text-align:center;">3<br/>1%</td><td style="text-align:center;">8<br/>5%</td><td style="text-align:center;">69<br/>3%</td><td style="text-align:center;">10<br/>6%</td><td style="text-align:center;">58<br/>3%</td><td style="text-align:center;">21<br/>7%</td><td style="text-align:center;">50<br/>9%</td><td style="text-align:center;">29<br/>7%</td>
<tr style="background-color: #e6e6e6;">
<th></th><td style="text-align:center;">8%<br/>Other<br/></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6e6e6;">
<th></tr>
<tr style="background-color: #e6bfe7;"><tbody>
<tr class='header_bottom_margin'>
<thead align='center'>
<tr id='__annotation__rowinterval_0' class='annotation_header'>
<th colspan='5'>WEB/DATA ACCESS<br/><br/></thead> </thead> <tbody align='left'>
<tr id='__annotation__rowinterval_0' class='annotation_row'>
<table border='0' cellpadding='0' cellspacing='0' width='100%' class='annotation_data'>
<tbody id='__annotation__rowinterval_0_0' class='annotation_data_row'>
<tr id='__annotation__rowinterval_0_0' class='annotation_data_column'>
<div id='__annotation__rowinterval_0_0_0' class='annotation_data_cell'>
<table border='0' cellpadding='0' cellspacing='0' width='100%' class='annotation_data_table'>
<tbody id='__annotation__rowinterval_0_0_0_0' class='annotation_data_table_row'>
<tr id='__annotation__rowinterval_0_0_0_0' class='annotation_data_table_column'>
<div id='__annotation__rowinterval_0_0_0_0_0' class='annotation_data_cell'>
<table border='0' cellpadding='0' cellspacing='0' width='100%' class='annotation_data_table'>
<tbody id='__annotation__rowinterval_0_0_0_0_0_0' class='annotation_data_table_row'>
<tr id='__annotation__rowinterval_0_0_0_0_0_0' class='annotation_data_table_column'>
<div id='__annotation__rowinterval_0_0_0_0_0_0_0' class='annotation_data_cell'>
<table border='0' cellpadding='0' cellspacing='0' width='1%' class='annotation_data_table'>
<tbody id='__annotation__rowinterval_0_0_0_0_0_0_0_1' class='annotation_data_table_row'>
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<table border='none' cellpadding='none' cellspacing='none' width='%'><tbody id='%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_%s_<tfoot id='%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tfoot>%<tbody id='%topleft_rightbottom_right_left_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_right_bottom_left_top_right_left_right_top_left_
```json
[
{
"id": "a",
"name": "abc",
"value": "abc"
},
{
"id": "d",
"name": "def",
"value": "def"
},
{
"id": "g",
"name": "ghi",
"value": "ghi"
},
{
"id": "j",
"name": "jklm",
"value": "jklm"
}
]
```json
```json
[
{
"id": "a",
"name": "abc",
"value": "abc"
},
{
"id": "d",
"name": "def",
"value": "def"
},
{
"id": "g",
"name": "ghi",
"value": "ghi"
},
{
"id": "j",
"name": "jklm",
"value": "jklm"
}
]
```json
```json
[
{
"id": "a",
"name": "abc",
"value": "abc"
},
{
"id": "d",
"name": "def",
"value": "def"
},
{
"id": "g",
"name": "ghi",
"value": "ghi"
},
{
"id": "j",
"name": "jklm",
"value": "jklm"
}
]
```json
```json
[
{
"id": "",
...
```json
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````
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 46
QD16 (QD28B). SHOWCARD And, which of these activities have you used your mobile for in the last week? (MULTI CODE)
Base : Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>234<br>228<br>234<br>227<br>237<br>2485<br>940<br>1825<br>1589<br>1637<br>1788</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <span style="color:red;">o</span> </table>
Effective Weighted Sample
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<th>Total</th>
<th>2494</th>
<th>318<br>337<br>211<br>711<br>233<br>212<br>104<br>285<br>340<br>157<br>969<br>1342<br>54%</th> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o</span> <span style="color:red;">o"</style>
<tr class='highlight'>
<th colspan='3' align='right'>None of these:</th>
<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan='3' align='left'>No. (%)<table cellspacing='0' cellpadding='0'>
<tbody>
<tr class='highlight'>
<th rowspan '3' align=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QD17 (QD28E) SHOWCARD Which of these ways do you use your mobile phone to access the internet? (MULTI CODE)**
Columns Tested: a-b . c-e/f-g.h.i-j.k.m-n-o.p.q.r
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E1T.5K</th>
<th>E17.5K</th>
<th>E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2274</td>
<td>1056</td>
<td>1219</td>
<td>486</td>
<td>525</td>
<td>873</td>
<td>410</td>
<td>253</td>
<td>203</td>
<td>311</td>
<td>591</td>
<td>547</td>
<td>733</td>
<td>467</td>
<td>525</td>
<td>403</td>
<td>286</td>
<td>281</td>
<td>324</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1563</td>
<td>730</td>
<td>833</td>
<td>308</td>
<td>353</td>
<td>610</td>
<td>296</td>
<td>174</td>
<td>142</td>
<td>228</td>
<td>378</td>
<td>398</td>
<td>506</td>
<td>328</td>
<td>348</td>
<td>1210</td>
<td>181</td>
<td>166</td><td>253</td>
</tr><tr><td>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></br>></div><div class='table' style='width: 100%; border-collapse: collapse;'><table><thead><tr><th>GENDER Total Unweighted total Effective Weighted Sample Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals Totals TotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalsTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalesTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTable"><tr><th rowspan="2"></th><th rowspan="2">Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Male Female Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range Minimum Maximum Mean Median Mode Range 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colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div/></table>
<table id=table_0 cellspacing=0 cellpadding=0 border=0 summary="">
<thead id='__annotation__rowinterval_0'>
<tr id='__annotation__rowinterval_0-rowinterval_0' class='annotation_item_rowinterval_0'>
<th id='__annotation__colinterval_0-line_item_other' class='annotation_item_colinterval_0-line_item_other'>GENDER
<table id='__annotation__colinterval_0-line_item_other-table' class='annotation_item_colinterval_0-line_item_other-table'>
<thead id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0' class='annotation_item_colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0'>
<tr id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_0' class='annotation_item_colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_0'>
<th id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_0-colinterval_0-line_item_other' class='annotation_item_colinterval_0-line_item_other-colinterval_0-line_item_other'>
<table id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_0-colinterval_0-line_item_other-table' class='annotation_item_colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_0-colinterval_0-line_item_other-table'>
<thead id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_0-colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_1' class='annotation_item_colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_1'>
<tr id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_1-rowinterval_1' class='annotation_item_colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_1-rowinterval_1'>
<th id='__annotation__colinterval_0-line_item_other-table__annotation__rowinterval_0-rowinterval_0-rowinterval_1-colinterv...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QD17 (QD28E) SHOWCARD Which of these ways do you use your mobile phone to access the internet? (MULTI CODE)**
Base: Those who use their mobile phone to access the internet
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2274 1056</td>
<td>1219 466 525 873</td>
<td>410 253 203 311</td>
<td>591 732 467 525</td>
<td>1403 286 281 324</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1563 730</td>
<td>833 308 353 610</td>
<td>296 174 142 228</td>
<td>378 398 506 328</td>
<td>1210 181 166 253</td>
</tr>
<tr>
<td>Total</td>
<td>1753</td>
<td>834 919</td>
<td>326 418 704 305</td>
<td>147 144 260</td>
<td>485 507 496 373</td>
<td>374 1474 148 80</td>
</tr>
<tr>
<td></td>
<td></td>
<td>48% 52%</td>
<td>19% 24% 40% 17%</td>
<td>8% 8% 15% 28%</td>
<td>29% 28% 21% 21%</td>
<td>84% 8% 5% 3%</td>
</tr>
<tr>
<td>ANY Wi-Fi USE</td>
<td>1425<br>81%</td>
<td>677<br>81%</td>
<td>748<br>83%</td>
<td>340<br>81%</td>
<td>575<br>82%</td>
<td>239<br>78%</td>
<td>110<br>75%</td>
<td>198<br>77%</td>
<td>427<br>86%</td>
<td>403<br>85%</td>
<td>318<br>79%</td>
<td><u style="text-decoration: underline;">182</u><br><u style="text-decoration: underline;">126</u><br><u style="text-decoration: underline;">70</u></td>
<td><u style="text-decoration: underline;">47</u><br><u style="text-decoration: underline;">3%</u></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="background-color: #e6e6e6;">
<td colspan="9" style="font-weight: bold; font-size: larger;">Don't know</td></tr>
<tr style="background-color: #e6e6e6;">
<td rowspan="2">Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r</td>
```
<tbody>
<tr>
<td rowspan="2">Total ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't know ANY Wi-Fi USE Don't known
<table>
<thead>
<tr>
<th colspan="9"></th>
</tr>
</thead>
<tbody>
<tr>
<th colspan="9"></th>
</tr>
</tbody>
</table>
</tr>
<tr>
<td rowspan="2">Total Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use Any WiFi Use
</table>
</tr>
<tr>
<td rowspan="2">Total any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use don t kno any wifi use
<table>
<thead>
<tr>
<th colspan="9"></th>
</tr>
</thead>
<tbody>
<tr>
<th colspan="9"></th>
</tr>
</tbody>
</table>
</tr>
<tr>
<td rowspan="2">Total any wi fi us e d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d on s k no n y w i fi u se d
<table>
<thead>
<tr>
<th colspan="9"></th>
</tr>
</thead>
<tbody>
<tr>
<th colspan="9"></th>
</tr>
</tbody>
</table>
</tr>
<tr>
<td rowspan="2">Total any wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno ny wi f ue ndon'skno
<table>
<thead>
<tr>
<th colspan="9"></th>
</tr>
</thead>
<tbody>
<tr>
<th colspan="9"></th>
</tr>
</tbody>
</table>
</tr>
<tr>
<td rowspan="2">Total any wifi us edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue edn 'skn onywifue eden
<table
```
______________________________________________________________________
Prepared by Saville Rossiter Base :\<page_number>DITPZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZTJUZVZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZWZW OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 47**
**QD17 (QD28E) SHOWCARD Which of these ways do you use your mobile phone to access the internet? (MULTI CODE)**
**Base:** Those who use their mobile phone to access the internet
| | ENGLAND REGIONS | URBANITY | WORKING | DEPRIVATION LEVEL | |---|---|---|---|---| | Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDLANDS | EAST MIDLANDS | EAST OF ENGLAND | YORKSHIRE AND HUMBER | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | NORTHWEST | | Significance Level: 95% | 1a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 47**
**QD17 (QD28E) SHOWCARD Which of these ways do you use your mobile phone to access the internet? (MULTI CODE)**
Base: Those who use their mobile phone to access the internet
| | ENGLAND REGIONS | URBANITY | WORKING | DEPRIVATION LEVEL | |---|---|---|---|---| | Total | LONDON | a | SOUTH EAST | b | SOUTH WEST | c | EAST MIDLANDS | d | EAST OF ENGLAND | e | YORKSHIRE AND HUMBER | f | NORTH EAST | g | NORTHWEST | h | URBAN | i | RURAL | j | YES | k | NO | l | LOW | m | MEDIUM-LOW | n | HIGH | | Significance Level: 95% | 2274 | 195 | 154 | 151 | 143 | 160 | 150 | 158 | 140 | 152 | 1692 | 582 | 1471 | 799 | 1078 | 1198 | | Unweighted total | 2274 | 195 | 154 | 151 | 143 | 160 | 150 | 158 | 140 | 152 | 1692 | 582 | 1471 | 799 | 1078 | 1198 | | Effective Weighted Sample | 1563 | 174 | 146 | 145 | 133 | 149 | 143 | 148 | 131 | 139 | 1317 | 267 | 1033 | 552 | 750 | 834 | | Total | 1753 | 267 | 229 | 143 | 100 | 158 | 159 | 151 | 67 | 190 | 1533 | 219 | 1246 | 502 | 931 | 822 | | Wi-Fi AND NOT MOBILE NETWORK (TOTAL) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) (N=267) | Wi-Fi AND NOT MOBILE NETWORK (%) a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote a weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 48
QD1 (QD2C). SHOWCARD Which one of these best describes where you use your mobile phone to access the internet? (SINGLE CODE) Columns Tested: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 +5+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C D E F G H I J K L M N O P Q R</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2274 1065</td>
<td>1216 466</td>
<td>253 873 410</td>
<td>253 311 547</td>
<td>372 467 525</td>
<td>403 286 281</td>
<td>264 181 166</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1563 730</td>
<td>833 308</td>
<td>353 610</td>
<td>296 174 142</td>
<td>228 378 398</td>
<td>506 328 348</td>
<td>1210 181 166</td>
<td>253</td>
</tr>
<tr>
<td>Total</td>
<td>1753 834</td>
<td>919 326</td>
<td>418 704</td>
<td>305 147 144</td>
<td>260 485 507</td>
<td>496 373 374</td>
<td>1474 148 80</td>
<td>51</td>
</tr>
<tr>
<td>I mainly use in the home</td>
<td>142 65</td>
<td>77 20</td>
<td>58 46</td>
<td>23 17</td>
<td>27 38</td>
<td>36 41</td>
<td>117 11</td>
<td>5</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td><td>d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g h i j k l m n o p q r t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD28C). SHOWCARD Which one of these best describes where you use your mobile phone to access the internet? (SINGLE CODE)
Base : Those who use their mobile phone to access the internet
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>LAND</th>
<th>SCOTLAND</th>
<th>WALES</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td><strong>MALE</strong></td>
<td><strong>FEMALE</strong></td>
<td><strong>16-24</strong></td>
<td><strong>25-34</strong></td>
<td><strong>35-54</strong></td>
<td><strong>55+</strong></td>
<td><strong>UNDER 11.9K</strong></td>
<td><strong>E11.9K - E17.9K</strong></td>
<td><strong>E17.9K - E29.9K</strong></td>
<td><strong>E30K+</strong></td>
<td><strong>AB</strong></td>
<td><strong>C1</strong></td>
<td><strong>C2</strong></td>
<td><strong>DE</strong></td>
<td><strong>ENG LAND</strong></td>
<td><strong>SCOTLAND</strong></td>
<td><strong>NI</strong></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>m</td>
<td>m</td>
<td>m</td>
<td>m</td>
<td>m</td>
<td>s</td>
<td>s</td>
<td>s</td>
<td>s</td>
<td>s</td>
<td>s</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2274<br>1056<br>466<br>525<br>873<br>410<br>253<br>203<br>311<br>591<br>547<br>732<br>467<br>525<br>1403<br>286<br>281<br>244<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324<br>324</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>j</td>
<td>k</td>
<td>iil</td>
<td>p</td>
<td>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p>p<p;p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.</table>
Effective Weighted Sample Total <watermark>Total: 1753 834 919 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 90000000000000000000000000000000000000000000000000000000000000000000000000000000
ALWAYS/ MAINLY USE IN THE HOME <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>Total: <watermark>
ALWAYS/ MAINLY USE OUTSIDE THE HOME <watermark>
EVER USE OUTSIDE THE HOME <watermark>
Don't know <watermark>
Columns Tested : a.b . c.d.e.f . g.h.i.j . k.l.m.n . o.q.r OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 48
QD16 (QD28C). SHOWCARD Which one of these best describes where you use your mobile phone to access the internet? (SINGLE CODE)
Base: Those who use their mobile phone to access the internet
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN RURAL</td>
<td>RURAL YES</td>
<td>NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2274</td>
<td>195</td>
<td>154</td>
<td>151</td>
<td>143</td>
<td>160</td>
<td>150</td>
<td>158</td>
<td>140</td>
<td>152</td>
<td>1692</td>
<td>582</td>
<td>1471 1078 1198</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1563</td>
<td>174</td>
<td>146</td>
<td>145</td>
<td>133</td>
<td>149</td>
<td>143</td>
<td>148</td>
<td>131</td>
<td>139</td>
<td>1317</td>
<td>267 1033 834</td><td></td>
</tr>
<tr>
<td>Total</td>
<td>1753</td>
<td>267</td>
<td>229</td>
<td>143</td>
<td>110</td>
<td>158</td>
<td>159</td>
<td>151</td>
<strong style="color: red;">67 90 931 822 47%</strong></tr><tr><th>I always use in the home<br>%<br> </th><th style="text-align: right;">142<br> </th><th style="text-align: right;">8<br> </th><th style="text-align: right;">2<br> </th><th style="text-align: right;">2<br> </th><th style="text-align: right;">8<br> </th><th style="text-align: right;">9<br> </th><th style="text-align: right;">9<br> </th><th style="text-align: right;">11<br> </th><th style="text-align: right;">11<br> </th><th style="text-align: right;">7<br> </th><th style="text-align: right;">7<br> </th><th style="text-align: right;">7<br> </th><th style="text-align: right;">7<br> </th></tr><tr><th>I mainly use in the home<br>%<br> </th><th style="text-align: right;">355<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> </th><th style="text-align: right;">60<br>%> 90%</th><th style="text-align: right;">60<br>%< 90%</th><th style="text-align: right;">46<br>%< 90%</th><th style="text-align: right;">46<br>%> 90%</th><th style="text-align: right;">42<br>%< 90%</th><th style="text-align: right;">42<br>%> 90%</th><th style="text-align: right;">35<br>%< 90%</th><th style="text-align: right;">35<br>%> 90%</th><th style="text-align: right;">36<br>%< 90%</th><th style="text-align: right;">36<br>%> 90%</th><th style="text-align: right;">78%<br>(<u>22%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)<u>(<u>56%</u>)>)</h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h></h>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**Table 48**
**QD16 (QD28C). SHOWCARD Which one of these best describes where you use your mobile phone to access the internet? (SINGLE CODE)**
Base: Those who use their mobile phone to access the internet
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2274<br>195<br>154<br>151<br>143<br>160<br>150<br>158<br>140<br>152<br>1692<br>582<br>1471<br>799<br>1078<br>1198</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1563<br>174<br>146<br>145<br>133<br>149<br>143<br>148<br>131<br>139<br>1317<br>267<br>1033<br>552<br>750<br>834</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1753<br>267<br>229<br>143<br>110<br>158<br>159<br>151<br>67<br>190<br>1533<br>219<br>1246<br>502<br>931<br>822</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td> ALWAYS MAINLY USE IN THE HOME</td>
<td> 498<br> 29%<br> 5%<br> 34%<br> 40%<br> 32%<br> 38%<br> 33%</td><td> 8%<br> 6%<br> 9%<br> 9%</td><td> 3%<br> 3%<br> 3%<br> 3%</td><td> 25%<br> 2%<br> 2%<br> 2%</td><td> 4%<br> 4%<br> 4%<br> 4%</td><td> 87%<br> 8%<br>&nb...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD1 (QD2F): SHOWCARD In which of these places do you use your mobile phone to access the internet outside the home? (MULTI CODE)
Columns Tested: a-b.c.d.e.f-g.h.i-j-k.m-n-o.p.q.r
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>GENDER</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>UNDER 16+ 16-24 25-34 35-54 55+</td>
<td>E1T.5K E17.5K E29.9K E30K+</td>
<td>C1 C2 DE</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>8 5 c</td>
<td>1 1</td>
<td>AB k i m</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2045 957</td>
<td>400 430 490 784</td>
<td>341 210 175 288 469 512 672 407 451</td>
<td>1864 259 226 36</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1409 663</td>
<td>747 282 333 553 244</td>
<td>145 122 214 354 373 463 285 300</td>
<td>1093 165 142 238</td>
</tr>
<tr>
<td>Total</td>
<td>1595 760</td>
<td>835 303 399 638</td>
<td>255 124 127 246 455 476 329 333</td>
<td>1342 137 70 46</td>
</tr>
<tr>
<td>When travelling (e.g. on a train or in a car)</td>
<td>1992<br>75%</br><br>608<br>76%</br><br>818<br>74%</br><br>82%</br><br>77%</br><br>77%</br><br>67%</br><br>63%</br><br>73%</br><br>78%</br><br>77%</br><br>77%</br><br>72%</br><br>74%</br><br>79%</br><br>79%</br><br>63%</br><br>77%</br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/></hr/>
<tr style="background-color: #f0f0f0;">
<td colspan="2">Outdoors</td>
<table style="width: auto;">
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th style="border-bottom: double;">Total<br>(outdoor activities)</th> <th style="border-bottom: double;">Outdoor<br>(outdoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> <th style="border-bottom: double;">Indoor<br>(indoor activities)</th> </tr>
```
<tr class="">
<td rowspan="" colspan="">Total outdoor activity (e.g. garden, park, beach, etc.)<span class=""><strong>e.g.</strong>: garden, park, beach, etc.</span></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong>/span>
<tr class="">
<td rowspan="" colspan="">Total indoor activity (e.g. home, office, etc.)<span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class=""><span class="">(e.g. home, office, etc.)<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home, office, etc.</sup>e.g.<sup>e.g.</sup>: home,</table>
</tr>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
<table>
<tbody>
<tr>
.
</tbody>
</table>
</tbody>
</table>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</tfoot>
</table>
</tbody>
</tfoot>
</table>
</tbody>
</table>
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```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD28F). SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? [MULTI CODE]
Base: Those who use their mobile phone to access the internet outside the home.
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER E11.5K- E17.5K- E29.5K- E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c c</td>
<td>1</td>
<td>4</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>26</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</td><td>266</ td></tr>
<tr>
<td rowspan="3">Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
<table cellspacing="0">
<tr style="vertical-align:top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Other<br>Don't know
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know Total Unweighted total Effective Weighted Sample Total Other Don't know
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total Unweighted total Effective Weighted Sample Total Other Don't know
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total Unweighted total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level: 95%</table>
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Total
<table cellspacing="0">
<tr style="vertical-align: top;">
<td style="width: 33%; vertical-align: top;">Significance Level:
<table cellspacing="" cellpadding="" cellspacing="" width="">
<tr height="">
<th colspan="">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2017. 4th January to 29th February 2017.</th></tr></tbody></table>
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD28F). SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? [MULTI CODE]
Base: Those who use their mobile phone to access the internet outside the home.
<table cellspacing="" cellpadding="" cellspacing="" width="">
<tr height="">
<th colspan="">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2017. 4th January to 29th February 2017.</th></tr></tbody></table>
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD28F). SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? [MULTI CODE]
Base: Those who use their mobile phone to access the internet outside the home.
<table cellspacing="" cellpadding="" cellspacing="" width="">
<tr height="">
<th colspan="">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2017. 4th January to 29th February 2017.</th></tr></tbody></table>
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD28F). SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? [MULTI CODE]
Base: Those who use their mobile phone to access the internet outside the home.
<table cellspacing="" cellpadding="" cellspacing="" width="">
<tr height="">
<th colspan="">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2017. 4th January to 29th February 2017.</th></tr></tbody></table>
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD28F). SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? [MULTI CODE]
Base: Those who use their mobile phone to access the internet outside the home.
<table cellspacing="" cellpadding="" cellspacing="" width="">
<tr height="">
<th colspan="">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD19 (QD28F): SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? (MULTI CODE)
Base: Those who use their mobile phone to access the internet outside the home
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2045</td>
<td>189 138 135</td>
<td>121 141 133</td>
<td>148 123 140</td>
<td>1535 510 1361</td>
<td>881 962</td>
<td>1083</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1409</td>
<td>169 129 130</td>
<td>113 131 128</td>
<td>137 115 128</td>
<td>1202 227 960</td>
<td>467 672</td>
<td>754</td>
</tr>
<tr>
<td>Total</td>
<td>1595</td>
<td>259 203 129</td>
<td>95 140 141</td>
<td>140 9% 9%</td>
<td>60 75% 77%</td>
<td>430 83% 73%</td>
<td>757</td>
</tr>
<tr>
<td>When travelling (e.g. on a train or in a car)</td>
<td>199</td>
<td>239 80% 70%</td>
<td>78% 73% 59%</td>
<td>68% 79% 76%</td>
<td>77% 65% 77%</td>
<td>70% 71%</td><td>80%</td></tr>
<tr>
<td>bodegues bodeh bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bodehs bideh ef def ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef et def k m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 49
QD19 (QD28F). SHOWCARD In which of these places do you use your mobile phone to access the internet outside of the home? [MULTI CODE]
Base: Those who use their mobile phone to access the internet outside the home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH n o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2045</td>
<td>189 138 135 121 141 133 148 123 140 1535 510 1361 881 962 1083</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1409</td>
<td>169 129 130 113 131 128 137 115 128 1202 227 960 467 672 754</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1595</td>
<td>259 203 129 95 95% 9% 9% 4% 11% 88% 12% 73% 27% 53% 47%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th>Categroy</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br><£<br>5k<br>(a)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br>>=£<br>5k<br>(b)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br><£<br>5k<br>(c)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br>>=£<br>5k<br>(d)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br><£<br>5k<br>(e)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br>>=£<br>5k<br>(f)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br><£<br>5k<br>(g)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Weighted<br>by<br>Income<br>>=£<br>5k<br>(h)</th><th>%<br>Value<br>of<br>Total<br>Sample<br>Based<br>Prioritised<br>Distributional<p style="color:red;">(i)</p><br>(j)</th><th>%<br>Value<br>Based on Total Sample (k)</th><th>%<br>Based on Total Sample (l)</th><th>%<br>Based on Total Sample (m)</th><th>%<br>Based on Total Sample (n)</th><th>%<br>Based on Total Sample (o)</th><th>%<br>Based on Total Sample (p)</th><th>%<br>Based on Total Sample (q)</th><th>%<br>Based on Total Sample (r)</th><th>%<br>Based on Total Sample (s)</th><th>%<br>Based on Total Sample (t)</th><th>%<br>Based on Total Sample (u)</th><th>%<br>Based on Total Sample (v)</th><th>%<br>Based on Total Sample (w)</th><th>%<br>Based on Total Sample (x)</th><th>%<br>Based on Total Sample (y)</th><th>%<br>Based on Total Sample (z)</th><th>%<br>Based on Total Sample (aa)</th><th>%<br>Based on Total Sample (ab)</th><th>%<br>Based on Total Sample (ac)</th><th>%<br>Based on Total Sample (ad)</th><th>%<br>Based on Total Sample (ae)</th><th>%<br>Based on Total Sample (af)</th><th>%<br>Based on Total Sample (ag)</th><th>%<br>Based on Total Sample (ah)</th><th>%<br>Based on Total Sample (ai)</th><th>%<br>Based on Total Sample (aj)</th><ths colspan="4">Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l-m-n-o</ths></tr>
<tr class="header_bottom_margin"><td colspan="16"></td></tr>
<tr class="header_bottom_margin">
<td>Categroy</td>
```
<td>- % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - % - %
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:center;">Total</td>
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:center;">LONDON</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">a b c d e f g h i j k l m n o</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr class="header_bottom_margin">
<td style="text-align:right;">Total sample weight:</td>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tbody>
</table>
</tfoot>>
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```
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD29 (QD28G). SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £17.5K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES MI</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157 1330</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>589 820 533 753</td>
<td>319 291 284 66</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>909 313 362 667</td>
<td>188 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
</tr>
<tr>
<td>Total</td>
<td>1896 903</td>
<td>993 329 426 735</td>
<td>187 157 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
</tr>
<tr>
<td colspan="2">Social networking (e.g. Facebook, Twitter, LinkedIn)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>1207 64%</td>
<td>609 61%</td>
<td>272 323 484 122</td>
<td>90 105 165 334</td>
<td>344 237 809</td>
<td>108 55</td>
</tr>
<tr>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
</tr>
<tr>
<td>Wea ther</td>
<td>1163<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>583<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br<l/></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l></l/></table>
Maps/navigation
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<th rowspan="2">Total Map/s Navigation</th>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th colspan="1" style="border-bottom: double;">Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/s Navigation Total Map/
...
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OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD29 (QD28G). SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES MI</td>
</tr>
<tr>
<td></td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>x b c d e f g h i j k l m n o p q r s t u v w x y z</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157 1330</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>589 580 533 173</td>
<td>319 291 284 86</td>
<td>39 28 19 7</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>909 313 362 667 383</td>
<td>198 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1896 903</td>
<td>329 426 755 385</td>
<td>187 157 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
<td></td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>17% 22% 40% 20%</td>
<td>9% 8% 19% 27%</td>
<td>28% 22% 22% 84%</td>
<td>9% 5% 3%</td>
<td></td>
</tr>
<tr>
<td>Music</td>
<td>810<br>43%</td>
<td>402<br>44%</td>
<td>206<br>212<br>300<br>73<br>68<br>72<br>115<br>247<br>233<br>239<br>183<br>154<br>689<br>68<br>39<br>19<br><br></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><td colspan="7">Travel journey planning</td></tr><tr><td></td><td colspan="7">50%<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td></tr>
<tr>
<table>
<tr>
<th colspan="7">Shopping (e.g. Tesco, Ocado, eBay)</th>
<th colspan="7">Sport/s sports news
<table>
<tr>
<th colspan="7">Books
<table>
<tr>
<th colspan="7">Finance/business
<table>
<tr>
<th colspan="7">Columns Tested: a.b.-c.d.f.-g.h.i.j-k.l.m.n-o.p.q.r.s.t.u.v.w.x.y.z
<table>
<tr>
<th colspan="7">Total
<table>
<tr>
<th colspan="7">Unweighted total
<table>
<tr>
<th colspan="7">Effective Weighted Sample
<table>
<tr>
<th colspan="7">Total
<table>
<tr>
<th colspan="7">Music
<table>
<tr>
<th colspan="7">Travel journey planning
<table>
<tr>
<th colspan="7">Shopping (e.g. Tesco, Ocado, eBay)
<table>
<tr>
<th colspan="7">Sport/s sports news
<table>
<tr>
<th colspan="7">Books
<table>
<tr>
<th colspan="7">Finance/business
<table>
<tr>
<th colspan="7">Columns Tested: a.b.-c.d.f.-g.h.i.j-k.l.m.n-o.p.q.r.s.t.u.v.w.x.y.z
<table>
<tr>
<th colspan="7">Total
<table>
<tr>
<th colspan="7">Unweighted total
<table>
<tr>
<th colspan="7">Effective Weighted Sample
<table>
<tr>
<th colspan="7">Total
<table>
<tr>
<th colspan="7">Music
<table>
<tr>
<th colspan="7">Travel journey planning
<table>
<tr>
<th colspan="7">Shopping (e.g. Tesco, Ocado, eBay)
<table>
<tr>
<th colspan="7">Sport/s sports news
<table>
<tr>
<th colspan="7">Books
<table>
<tr>
<th colspan="7">Finance/business
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD29 (QD28G). SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE) Base : Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>UNDER 16-24 25-34 35-54 55+</td>
<td>E11.9K E17.9K E29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOTLAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>x b c</td>
<td>1 1</td>
<td>535 340 589 520</td>
<td>77 60 30 174</td>
<td>319 291 345</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>1157 1330</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>803 520 573 1532</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>800</td>
<td>908 313 362 657</td>
<td>198 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>903</td>
<td>993 320 426 735</td>
<td>187 157 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
</tr>
<tr>
<td>Vouchers</td>
<td>203</td>
<td>83</td>
<td>120 42 54 87</td>
<td>21 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr>
<td>NONE OF THESE</td>
<td>201</td>
<td>98</td>
<td>103<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*<br/>*</tr>
<tr style="border-top: double;">
<th colspan="2">Don't know<br>% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % </th>
```
<th style="text-align: center;">Columns Tested: a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r<br/>53%</th>
<th style="text-align: center;">67% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -% -%</th>
<th style="text-align: center;">de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/>de<br/></th>
<th style="text-align: center;">89%</th>
<th style="text-align: center;">23%</th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></th>
<th style="text-align: center;">-<></table>
```
Prepared by Saville Rossiter Base : D1727 B99 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD29 (QD28G). SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST WEST</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>281</td>
<td>164</td>
<td>186</td>
<td>162</td>
<td>172</td>
<td>168</td>
<td>175</td>
<td>156</td>
<td>168</td>
<td>1841</td>
<td>646</td>
<td>1559</td>
<td>921</td>
<td>1175</td>
<td>1312</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180</td>
<td>155</td>
<td>199</td>
<td>151</td>
<td>160</td>
<td>160</td>
<td>183</td>
<td>145</td>
<td>154</td>
<td>1432</td>
<td>300</td>
<td>1094</td>
<td>638</td>
<td>818</td><td>912</td></tr>
<tr style="border-top: 2px solid black;">
<td>Total<br>Total 1896<br>Total 275 243 156 128 168 177<br>Total 7% 9% 9% 9% 9% 9% 9% 9% 9% 9% 9% 9% 9% 9% 9% 9%</tr>
<tr style="border-top: 2px solid black;">
<td>Total<br>Total Social networking (e.g. Facebook, Twitter, LinkedIn) 1207<br>Total Social networking (e.g. Facebook, Twitter, LinkedIn) 64%</tr>
<tr style="border-top: 2px solid black;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br>Total Weather<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> </tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Maps/navigation</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Total Maps/navigation</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">News</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Games</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Banking</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Columns Tested: a,b,c,d,e,f,g,h,j-k-l,m-n,o</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">Total Maps/navigation</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: center;">News</br> </th>
<tr style="background-color: #f0f0f0;">
<table border="0">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD29 (QD28G). SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201</td>
<td>164</td>
<td>166</td>
<td>162</td>
<td>172</td>
<td>168</td>
<td>175</td>
<td>156</td>
<td>188</td>
<td>1841</td>
<td>646</td>
<td>1559</td>
<td>921</td>
<td>1175</td><td>1312</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180</td>
<td>155</td>
<td>159</td>
<td>151</td>
<td>160</td>
<td>160</td>
<td>163</td>
<td>145</td>
<td>154</td>
<td>1432</td>
<td>300</td>
<td>1094</td>
<td>838</td>
<td>818</td><td>912</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>243</td>
<td>245</td>
<td>136</td>
<td>126</td>
<td>168</td>
<td>177</td>
<td>164</td>
<td>74</td>
<td>209</td>
<td>1651</td>
<td>245</td><td>1314</td><td>574</td><td>1004</td><td>892</td>
</tr><tr><td>Misc.</td><td rowspan="2">610<br/>43%</br></td><td rowspan="2">197<br/>43%</br></td><td rowspan="2">57<br/>40%</br></td><td rowspan="2">54<br/>54%</br></td><td rowspan="2">84<br/>39%</br></td><td rowspan="2">83<br/>37%</br></td><td rowspan="2">84<br/>38%</br></td><td rowspan="2">79<br/>47%</br></td><td rowspan="2">78<br/>46%</br></td><td rowspan="2">79<br/>45%</br></td><td rowspan="2">73<br/>43%</br></td><td rowspan="2">73<br/>43%</br></td><td rowspan="2">87<br/>50%</br></td><td rowspan="2">87<br/>50%</br></td><td rowspan="2">87<br/>50%</br></td><td rowspan="2">m<br/>m<br/></td><td rowspan="2">m<br/>m<br/></td><td rowspan="2">m<br/>m<br/></ td><tr><th colspan="3" style="text-align:center;">Medium High Low High o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE EE E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E EEEEEEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTEETTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT TT T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TT TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI TI Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti Ti TiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTiTititititititititititititititititititititititititititititititititititititititititititititititititititititi ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti ti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tti tttt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt ttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttt tttl l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll ll lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.ll.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l.l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l..l...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...L...LL.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL LL L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L L I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i ii iiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXIXI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Columns Tested: a,b,c,d,e,f,g,h,j,k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 50
QD29 (QD28G). SHOWCARD Do you use any of the following types of apps or applications on your smartphone? (MULTI CODE) Base: Those with a smartphone
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN RURAL</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH n o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201</td>
<td>164</td>
<td>166</td>
<td>162</td>
<td>172</td>
<td>168</td>
<td>175</td>
<td>156</td>
<td>188</td>
<td>1841</td>
<td>646 1559 921 1175 1312</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180</td>
<td>155</td>
<td>159</td>
<td>151</td>
<td>160</td>
<td>160</td>
<td>163</td>
<td>145</td>
<td>154</td>
<td>1432</td>
<td>300 1094 838 818 912</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>275</td>
<td>243</td>
<td>156</td>
<td>126</td>
<td>168</td>
<td>177</td>
<td>164</td>
<td>74</td>
<td>209</td>
<td>1651 245 87% 9% 4% 11% 7% 8% 9% 9% 9% 9% 9% 9% 9% 9% 9%</td><td>574 1314 89% 30% 53% 47%</td>
</tr>
<tr>
<td>Vouchers</td>
<td>203</td>
<td>32</td>
<td>23</td>
<td>17</td>
<td>22</td>
<td>22</td>
<td>23</td>
<td>23</td>
<td>m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:MM:</table>
<table border="1">
<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead><tbody><tr><td rowspan="2">NONE OF THESE<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH EAST SOUTH WEST EAST MIDLANDS EAST OF ENGLAND YORKSHIRE AND THE HUMBER NORTH EAST NORTH WEST URBAN RURAL YES NO LOW MEDIUM HIGH n o
<table border="1">
<thead><tr><th></th><th colspan="3">LONDON SOUTH East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West East Midlands East of England Yorkhire and the Humber North East North West Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South East South West Easte Midlands Eas Yorkhire and the Humber North Easte North W Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South Easte South W Yorkshire and the Humber North Easte North W Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South Easte South W Yorkshire and the Humber North Easte North W Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South Easte South W Yorkshire and the Humber North Easte North W Urban Rural Yes No Low Medium High n o
<table border="1">
<thead><tr><<th>LONDON South Easte South W Yorkshire and the Humber North Easte North W Urban Rural Yes No Low Medium High n o
<table border="1">
<thead rowspan=2 style='border-top-style:solid;border-bottom-style:solid;border-left-style:none;border-right-style:none;padding-top:.5em;padding-bottom:.5em;padding-left:.5em;padding-right:.5em;' cellspacing='0' cellpadding='0'>
<tr style='background-color:#f0f0f0;'>
<th style='text-align:center;'>Total<br/>Significance Level:<span style='font-weight:bold;'>95%</span><br><span style='font-weight:bold;'>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>Vouchers<br/>NONE OF THESE<br/>Don't know<br/>-%<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>-<br>Columns Tested:&span style='color:red;'>a,b,c,d,e,f,g,h,i-j,k-l,m-n-o</span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>></span>>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD21 (QD28H). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES MI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157 1330</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>589 803 520 573</td>
<td>533 319 291 345</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>908 313 362 667</td>
<td>188 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
</tr>
<tr>
<td>Total</td>
<td>1896 903</td>
<td>993 329 426 755</td>
<td>385 167 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
</tr>
<tr>
<td></td>
<td>48% 52%</td>
<td>17% 22%</td>
<td>40% 20%</td>
<td>9% 8%</td>
<td>19% 27%</td>
<td>84% 9%</td>
</tr>
<tr>
<td>Games</td>
<td>181 104</td>
<td>77 63</td>
<td>56 61</td>
<td>11</td>
<td>21</td>
<td>31</td>
<td>49</td>
<td>49</td>
<td>38</td>
<td>35</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\tn\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn\tn
<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\t
<table>
<tr>
<th colspan="2">GENDER MALE FEMALE Total e b c d f g h i j k l m n o p q r Columns Tested : a.b.c.d.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th>
<th colspan="2">AGE GROUP UNDER £1.9K £17.9K £29.9K E17.9K E30K+ HOUSEHOLD INCOME AB C1 C2 DE SOCIAL GROUP ENG LAND SCOT LAND WALES MI EQUITY OF THE UK ADULT POPULATION BY GENDER AND AGE GROUP (UNWEIGHTED) (N=2,487)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP (UNWEIGHTED) (N=1,896)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (UNWEIGHTED) (N=1,896)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUP AND NATION (WEIGHTED) (N=1,708)</th>
<th colspan="2">EQUITY OF THE UK ADULT POPULATION BY HOUSEHOLD INCOME AND SOCIAL GROUPAND NATIONAL WEIGHTED(N)=<table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom: .5em;'>
<td style='text-align:center;'>Total:</table
<tr style='border-bottom: double black; padding-bottom:.
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD21 (QD28H). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES MI</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157 1330</td>
<td>475 540 937 535</td>
<td>288 223 340 535</td>
<td>585 803 520 573</td>
<td>533 319 291 345</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>908 313 362 667</td>
<td>188 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>903</td>
<td>329 426</td>
<td>385 167</td>
<td>281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
</tr>
<tr>
<td></td>
<td></td>
<td>48%</td>
<td>52%</td>
<td>17%</td><td>22%</td><td>40%</td><td>8%</td><td>9%</td><td>5%</td><td>3%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr>
<td colspan="2">News</td>
<td>42<br/>2%</table>
<table>
<tr>
<th colspan="2"></th>
<th>Total MALE FEMALE</th>
<th>AGE GROUP UNDER £11.9K £17.9K £29.9K E30K+</th>
<th>HOUSEHOLD INCOME SOCIAL GROUP NATION</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th colspan="2"></table>
<table>
<tr>
<th colspan="2"></th>
<th>Total MALE FEMALE</th>
<th>AGE GROUP UNDER £11.9K £17.9K £29.9K E30K+</th>
<th>HOUSEHOLD INCOME SOCIAL GROUP NATION</th>
<th colspan="2"></table>
<table>
<tr>
<th colspan="2"></table>
<table>
<tr
<table cellspacing="0" style="width: auto; border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="height: auto;">
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<input type="hidden" name="id" value="test_id">
<input type="hidden" name="title" value="Test Title">
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<input type="hidden" name="date" value="Today's Date">
<input type="hidden" name="time" value="Today's Time">
<input type="hidden" name="author" value="Author Name">
<input type="hidden" name="category" value="Category">
<input type="hidden" name="tags[]" value="">
<input type="hidden" name="_token" value="">
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</tr>
</tbody>
<tfoot style="display: none;">
<tr style="height: auto;">
<form method="POST">
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<input type="hidden" name="id" value="test_id">
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<input type="hidden" name="author" value="Author Name">
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<input type="hidden" name="_token" value="">
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</tr>
</tfoot>
<tbody style="text-align: center;">
<tr style="">
<form method='POST' action=''>
<div class='form-group'>
<label for='name'>Name:</label> <input id='name' class='form-control' type='text' placeholder='Enter your name' required/></div>
></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div>></div><script src="/js/jquery.min.js"></script>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD21 (QD28H). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157</td>
<td>1330 475 540 937 535</td>
<td>288 223 340 535</td>
<td>589 803 520 573</td>
<td>1532 319 291 345</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>908 313 362 657 383</td>
<td>198 155 249 404</td>
<td>427 549 368 379</td>
<td>1321 204 184 266</td>
</tr>
<tr>
<td>Total</td>
<td>1896 903</td>
<td>993 329 426 755 385</td>
<td>187 157 281 516</td>
<td>540 533 413 408</td>
<td>1593 164 86 53</td>
</tr>
<tr>
<td>NONE OF THESE</td>
<td>1441 656</td>
<td>785 219 310 580</td>
<td>331 141 214 385</td>
<td>392 397 326 325</td>
<td>1202 73 41</td>
</tr>
<tr>
<td></td><td>76%<br>73%</td><td>79%<br>66%</br><br>73%</br><br>77%</br><br>88%</br><br>84%</br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>76%<br>78%</nbr></td>
<td></td>
</tr>
<tr>
<td></td><td></td><td></td><td>c<br>d<br>e<br>f<br>i-j<br>k-l-m-n<br>p-o-q-r<br></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Don't know</td>
<td>39<br>19<br>2%<table style="width: auto;">
<thead style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th colspan="8">Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r<br/></th></tr></thead>
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: right;">Total:</th>
<th style="text-align: right;">Total:</th>
<th style="text-align: right;">Total:</th>
<th style="text-align: right;">Total:</th>
<th style="text-align: right;">Total:</th>
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<th style="text-align: right;">Total:</th>
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<th style="text-align: right;">Total:</th>
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<th style="text-align: right;">Table Caption
This table shows the results of a survey conducted in the United Kingdom in January and February of the year specified. The survey was designed to gather information about the use of mobile phones among adults aged between the ages of sixteen and seventy-five years old. The survey was conducted by Ofcom, a public service body responsible for regulating the UK's communications industry.
The survey was conducted using a combination of online and telephone interviews. The sample size was approximately one thousand five hundred and fifty people, representing a wide range of demographic groups including age, gender, income, education, employment status, and location.
The survey asked a number of questions about the use of mobile phones, including how often people use their phones, what types of apps they use, how much they pay for apps, and whether they have downloaded any new apps recently.
The results of the survey show that a majority of people in the UK use their mobile phones regularly, with around three quarters of respondents saying they use their phones every day. The most popular type of app used by people in the UK is social networking, followed by games and music. A significant proportion of people also use their phones to make calls and send text messages.
The survey also found that a large proportion of people in the UK pay for apps on their phones, with around half of respondents saying they have paid for an app in the last month. The most common reason given for paying for an app is that it provides useful information or entertainment.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in the last month.
The survey also found that a significant proportion of people in the UK have downloaded new apps recently, with around one third of respondents saying they have done so in
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD21 (QD28H). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201<br>164<br>166<br>162<br>172<br>168<br>175<br>156<br>188<br>1841<br>646<br>1559<br>921<br>1175<br>1312</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180<br>155<br>159<br>151<br>160<br>160<br>163<br>145<br>154<br>1432<br>300<br>1094<br>638<br>818<br>912</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>275<br>243<br>156<br>126<br>168<br>177<br>164<br>74<br>209<br>1651<br>245<br>1314<br>574<br>1004<br>892</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>MEDIAN 30% 47%</td><td>HIGH 95%</td><td>n o p q r s t u v w x y z</td><td>m n o p q r s t u v w x y z</td><td>p q r s t u v w x y z n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o p q r s t u v w x y z m n o<page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><page_number rowspan="2"><table_caption>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</table_caption><table_caption>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</table_caption><table_caption>DQD (QDQH). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)</table_caption><table_caption>Base: Those with a smartphone.</table_caption><table_caption>Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total TotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTable_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total Table_caption>Total TableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaptionTableCaption
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<th style='text-align: center;'>Significance Level: 95%</th><th style='text-align: center;'>LONDON a b c d e f g h i j k l mn op qr st uv wx wy zw xt yt ut vz ux uy ox px qx qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx px qx ps tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty tz tx ty rz ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.ts.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsv.tsvts.tsvt.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t.s.t..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..s..
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<th style='text-align: center;'>Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Games Gamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgames games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games games gamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamesgamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegamedeegameddegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegegedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedgedged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged Ged GdGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGedGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDGEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDEDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDDDDDEDDD
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<th style='text-align: center;'>Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Books Bookssbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooksbooks books books books books books books books books books books books books books books books books books books books books books books books books books books books books books books books books books books books bookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbookssbok
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<th style='text-align: center;'>Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weather Weathe
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<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News News New
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<th style='text-align: center;'>Columns Tested: abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f0;'>
<th style='text-align: center;'>abc.d.e.f.g.h-i-j.k-l-m-n-o
<table style='border-collapse: collapse;'>
<tr style='background-color: #f0f0f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD21 (QD28H). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL URBAN</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201</td>
<td>164</td>
<td>166</td>
<td>162</td>
<td>172</td>
<td>168</td>
<td>175</td>
<td>156</td>
<td>188</td>
<td>1841</td>
<td>646 1559 921 1175 1312</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180</td>
<td>155</td>
<td>159</td>
<td>151</td>
<td>160</td>
<td>160</td>
<td>163</td>
<td>145</td>
<td>154</td>
<td>1432</td>
<td>300 1094 638 818 912</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>275</td>
<td>243</td>
<td>156</td>
<td>126</td>
<td>168</td>
<td>177</td>
<td>164</td>
<td>74</td>
<td>209</td>
<td>1651 245 87% 13% 89% 30% 53% 47%</td><td></td></tr>
<tr><td>Vouchers<br>bcdgjfh<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>m<br>n<br>p<br>r<br>s<br>t<br>v<br>w<br>x<br>y<br>z<br>A<br>B<br>C<br>D<br>E<br>F<br>G<br>H<br>I<br>J<br>K<br>L<br>M<br>N<br>O<br>P<br>Q<br>R<br>S<br>T<br>U<br>V<br>W<br>X<br>Y<br>Z<br>a<br>b<br>c<br>d<br>e<br>f<br>g<br<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'<h'</table>
<table>
<tr><th rowspan="2">Travel/journey planning
%</th><th rowspan="2">30
%</th><th rowspan="2">3
%</th><th rowspan="2">2
%</th><th rowspan="2">2
%</th><th rowspan="2">4
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</th><th rowspan="2">-%
%</eth>'
<th rowspan="2" colspan='3'>m
p
n
r
s
t
v
w
x
y
z
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
<table>
<tr>
<th colspan='3' style='text-align:center;'>Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o </table>
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 51
QD21 (QD28H). SHOWCARD And which of these types of apps or applications have you PAID FOR to download on your smartphone? (MULTI CODE)
Base: Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>NORTHERN COUNTIES</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487<br>201<br>164<br>166<br>162<br>172<br>168<br>175<br>156<br>188<br>1841<br>646<br>1569<br>921<br>1175<br>1312</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708<br>180<br>155<br>159<br>161<br>160<br>163<br>145<br>154<br>1432<br>300<br>1094<br>838<br>818<br>912</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>1896<br>275<br>243<br>156<br>126<br>168<br>177<br>164<br>74<br>209<br>1651<br>245<br>1314<br>574<br>1004<br>892</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>NONE OF THESE</td>
<td>1441<br>183<br>76%<br>%27%<br>%8%<br>%8%<br>%7%<br>%9%<br>%9%<br>%9%<br>%9%<br>%9%<br>%9%<br>%9%<br>%9%<br>%9%</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2A (QD2A1) SHOWCART Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... The overall service provided by MAIN SUPPLIER. (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £17.5K £29.9K E30K+</td>
<td>E17.5K E29.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>s b c c</td>
<td>1 1 1</td>
<td>x m y z</td>
<td>4 7 8 4</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269</td>
<td>719 513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>710 709 728 883</td>
<td>445 445 445 445</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 304 391 788</td>
<td>329 247 309 457</td>
<td>719 498 579 1787</td>
<td>279 273 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1204</td>
<td>361 466 895 782</td>
<td>278 240 341 576</td>
<td>668 549 588 2096</td>
<td>211 120 68</td>
</tr>
<tr>
<td>Base for %</td>
<td>48%<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>52%<table border="0">
<tbody>
<tr style="height: auto;">
<td style="text-align: center;">14%</td>
<td style="text-align: center;">18%</td>
<td style="text-align: center;">36%</td>
<td style="text-align: center;">31%</td>
</tr>
<tr style="height: auto;">
<td style="text-align: center;">Base for %<table border="0">
<tbody>
<tr style="height: auto;">
<td style="text-align: center;">5%<table border="0">
<tbody>
<tr style="height: auto;">
<td style="text-align: center;">3%</table></td></tr></tbody></table></td></tr></tbody></table></td></tr></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>
<table border="0">
<tr style="height: auto;">
<td rowspan="2" colspan="3">TOTAL SATISFIED<br/>2269<br/>91%<table border="0">
<tbody style="height: auto;">
<tr style="height: auto;">
<td style="text-align: right;"><strong>1078<br/>90%</strong> </td>
<td style="text-align: left;"><strong>339<br/>94%</strong> <strong>830<br/>95%</strong> <strong>698<br/>90%</strong> <strong>339<br/>94%</strong> <strong>830<br/>95%</strong> <strong>698<br/>90%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%<table border="0">
<tbody style="height: auto;">
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
<tr style="height: auto;">
<td style="text-align: right;"><strong>5%</strong> </td>
<td style="text-align: left;"><strong>5%</strong> </td>
</tr>
```
</tbody>
</table>
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<title>Detailed Report for OFDCOM NATIONS REGIONS TRACKER - MAIN SET - H1 - QD2A - SHOWCART THINKING ABOUT YOUR MOBILE PHONE SERVICE ONLY - MAIN SUPPLIER - (SINGLE CODE)</title>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD22A (QD21A). SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... The overall service provided by MAIN SUPPLIER, (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 16-24</td>
<td>E11.5K- E17.5K</td>
<td>E17.5K- E29.5K</td>
<td>E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c</td>
<td>1</td>
<td>483</td>
<td>365</td>
<td>428</td>
<td>610</td>
<td>745 1059 728 889 2083 451 445 446</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>1629</td>
<td>1796</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>745 1059 728 889</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318</td>
<td>1101</td>
<td>1218</td>
<td>340 391 788 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td></td>
<td>1787 279 273 341</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2484</td>
<td>1304</td>
<td>1296</td>
<td>361 456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td></td>
<td>2096 211 120 68</td>
<td></td>
</tr>
<tr>
<td>TOTAL DISSATISFIED</td>
<td>91<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>49<br>4%<table border="0">
<tbody>
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Total Dissatisfied (N=91)</td>
<tr style="background-color: #f0f0f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 52
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2A (QD2A). SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... The overall service provided by MAIN SUPPLIER, (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 224 234 228 234 227 237 2485 940 1825 1589 1637 1788</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>3218</td>
<td>209 222 218 209 217 217 215 210 217 1923 428 1269 1089 1122 1231</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>4294</td>
<td>318 13% 14% 8% 7% 9% 9% 8% 4% 11% 86% 14% 61% 39% 54% 48%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>1153</td><td>1534</td><td>1150</td><td>695</td><td>681</td><td>59%</td><td>59%</td><td>n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n</td><td>n o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o</td><td>n s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th rowspan="2"></th><th rowspan="2">Total</th><th rowspan="2">LONDON a b c d e f g h i j k l m n o</th><th rowspan="2">SOUTH EAST WEST c d e f g h i j k l m</th><th rowspan="2">SOUTH WEST d e f g h i j k l m</th><th rowspan="2">EAST MIDLANDS e f g h i j k l m</th><th rowspan="2">WEST OF ENGLAND f g h i j k l m</th><th rowspan="2">EAST OF ENGLAND f g h i j k l m</th><th rowspan="2">YORKSHIRE AND HUMBER f g h i j k l m</th><th rowspan="2">NORTH EAST f g h i j k l m</th><th rowspan="2">NORTH WEST f g h i j k l m</th><th rowspan="2">URBAN a b c d e f g h i j k l m</th><th rowspan="2">RURAL a b c d e f g h i j k l m</th><th rowspan="2">YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES 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AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AE AEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAEEAAA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EE AA EEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE AEEE E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXXXXX
<img>A table showing data on satisfaction levels.</img>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 52
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD22A (QD21A). SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... The overall service provided by MAIN SUPPLIER, (SINGLE CODE)
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>234<br>228<br>234<br>227<br>237<br>2485<br>940<br>1825<br>1589<br>1637<br>1788</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <span style="color:red;">o</span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span>&nb...
<tr style="border-top: 1px solid black;">
<th>TOTAL DISSATISFIED</th>
<th>91<br>4%</th>
<th>12%<hr/>9%<hr/>4%<hr/>3%<hr/>4%<hr/>7%<hr/>ah<br/><hr/></th>
<th>5%<hr/>13%<hr/>9%<hr/>5%<hr/>10%<hr/>17%</th>
<th>9%<hr/>3%<hr/>14%</th>
<th>73%<hr/>27%</th>
<th>89%</th>
<th>31%</th>
<th>59%</th>
<th>41%</th>
Don't know Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o 11
______________________________________________________________________
- 3
- 1
- 1
- 4
- 9
- 2
- 2
- 8
- 8
- 3
Prepared by Saville Rossiter Base : 01727 899 599 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is listed at the 95% confidence level.
QD22J (QD21j). SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... Reception/ accessing network. (SINGLE CODE).
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1269</td>
<td>513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>710 705 709 728</td>
<td>2883 451 445 466</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>3218 390 781 812</td>
<td>329 247 309 457</td>
<td>543 719 498 579</td>
<td>1787 279 273 341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>361 466 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120 68</td>
</tr>
<tr>
<td>Base for %</td>
<td>48% 52%</td>
<td>18% 36% 31% 10%</td>
<td>24% 13% 23% 8%</td>
<td>27% 28% 22% 24%</td>
<td>84% 8% 5% 3%</td>
</tr>
<tr>
<td>Very satisfied</td>
<td>2479 1197</td>
<td>382 361 655 892</td>
<td>771 740 341 576</td>
<td>664 585 583 604</td>
<td>2084 210 118 67</td>
</tr>
<tr>
<td></td>
<td>52% 49%</td>
<td>30% 37% 30% 3%</td>
<td>38% 35% 30% 3%</td>
<td>35% <small>k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km km kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:q:</small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small></small><br/>
<tr><td colspan="6">TOTAL SATISFIED<br/>2149<br/>87%<br/>86%</td><br/>
<tr><td colspan="6">Neither<br/>126<br/>5%</td><br/>
<tr><td colspan="6">Fairly dissatisfied<br/>124<br/>5%</td><br/>
<tr><td colspan="6">Very dissatisfied<br/>81<br/>3%</td><br/>
<tr><td colspan="6">Columns Tested : a b - c.d.e.f - g.h.i j - ki.m.n - o.p.q.r
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD22J / QD24J: SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with [MAIN SUPPLIER] for each of the following... Reception/ accessing network. (SINGLE CODE).
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.9K £17.9K £29.9K</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x m n</td>
<td>0 4 4</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425 1629</td>
<td>1796 513 591 1142 1179</td>
<td>483 365 428 610</td>
<td>745 1059 728 889</td>
<td>2083 451 445</td>
<td>446</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318 1101</td>
<td>1218 340 391 788 812</td>
<td>329 247 309 457</td>
<td>719 498 579</td>
<td>1787 279 273</td>
<td>341</td>
</tr>
<tr>
<td>Total</td>
<td>2484 1304</td>
<td>1296 361 456 895 782</td>
<td>278 240 341 576</td>
<td>669 686 549 588</td>
<td>2096 211 120</td>
<td>68</td>
</tr>
<tr>
<td>TOTAL DISSATISFIED</td>
<td>205 95</td>
<td>110 15</td>
<td>27 96</td>
<td>66 24</td>
<td>25 64</td>
<td>80 56 40</td>
<td>177 16 9</td>
</tr>
<tr>
<td></td>
<td>8% 8%</td>
<td>9% 4%</td>
<td>6% 1%</td>
<td>9% 6%</td>
<td>7% 1%</td>
<td>12% 8%</td>
<td>8% 7% 5%</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td>c d h i m k l m n p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 53
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD22J / QD21jJ: SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... Reception/ accessing network. (SINGLE CODE).
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236 235 228 228 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217 217</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td>
<td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</td><td>340</ td></tr>
<tr>
<td>Effective Weighted Sample Total Base for %<br/>Very satisfied<br/>52%</br/>Fairly satisfied<br/>Fairly dissatisfied<br/>Very dissatisfied<br/></table>
<table border="1">
<thead>
<tr style="background-color: #f5f5f5;">
<th></th>
<th>Total Satisfied<br/>87%</br/></th>
<th>Satisfied<br/>89%</br/></th>
<th>Fairly satisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<th>Fairly dissatisfied<br/>85%</br/></th>
<table border="1">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<th></th>
```
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f5f5f5;">
<thead style="background-color: #f5f5f5;">
<tr style="background-color: #f
```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 53
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD22J / QD21j: SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with [MAIN SUPPLIER] for each of the following... Reception/ accessing network. (SINGLE CODE).
Base: Those who personally use a mobile phone
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3425</td>
<td>236<br>235<br>228<br>234<br>237<br>234<br>237<br>237<br>2485<br>940<br>1825<br>1589<br>1637<br>1788</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2318<br>209<br>222<br>218<br>209<br>217<br>217<br>215<br>210<br>217<br>1923<br>428<br>1269<br>1089<br>1122<br>1231</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>2494<br>205<br>137<br>337<br>211<br>717<br>233<br>235<br>212<br>8%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
TOTAL DISSATISFIED
<table border="1">
<tbody>
<tr style="background-color: #f0f0f0;">
<th>Total (n)</th>
<th>Dissatisfied (%)</th>
<th>LONDON (%)</th>
<th>SOUTH EAST (%)</th>
<th>SOUTH WEST (%)</th>
<th>EAST MIDLANDS (%)</th>
<th>EAST OF ENGLAND (%)</th>
<th>YORKSHIRE AND HUMBER (%)</th>
<th>NORTH EAST (%)</th>
<th>NORTHWEST (%)</th>
<th>URBAN (%)</th>
<th>RURAL (%)</th>
<th>JOB (%) - YES (%) - NO (%) - LOW (%) - MEDIUM (%) - HIGH (%) - o (%) - n (%) - m (%) - l (%) - k (%) - j (%) - i (%) - h (%) - g (%) - f (%) - e (%) - d (%) - c (%) - b (%) - a (%)</th>
<th>TOTAL DISSATISFIED (n)</th>
<th>Dissatisfied (%) (n)</th> <table border="1">
<tbody><tr>
<th>Total (n)</th>
<th>Dissatisfied (%)</th>
<th>LONDON (%)</th>
<th>SOUTH EAST (%)</th>
<th>SOUTH WEST (%)</th>
<th>EAST MIDLANDS (%)</th>
<th>EAST OF ENGLAND (%)</th>
<th>YORKSHIRE AND HUMBER (%)</th>
<th>NORTH EAST (%)</th>
<th>NORTHWEST (%)</th>
<th>URBAN (%)</th>
<th>RURAL (%)</th>
<th>job (%) - YES (%) - NO (%) - LOW (%) - MEDIUM (%) - HIGH (%) - o (%) - n (%) - m (%) - l (%) - k (%) - j (%) - i (%) - h (%) - g (%) - f (%) - e (%) - d (%) - c (%) - b (%) - a (%)</th>
<tr>
<tr style="background-color: #f0f0f0;">
<th>Total (n)</th>
<th>Dissatisfied (%)</th>
<th>LONDON (%)</th>
<th>SOUTH EAST (%)</th>
<th>SOUTH WEST (%)</th>
<th>EAST MIDLANDS (%)</th>
<th>EAST OF ENGLAND (%)</th>
<th>YORKSHIRE AND HUMBER (%)</th>
<th>NORTH EAST (%)</th>
<th>NORTHWEST (%)</th>
<th>URBAN (%)</th>
<th>RURAL (%)</th>
<tr>
<tr style="background-color: #f0f0f0;">
<table border="1" cellspacing="0" cellpadding="0">
<tbody><-row id="row_0">
<-cell id="cell_0_0" rowspan="1" colspan="1" style="text-align:center;">Total (n)</cell>
<-cell id="cell_0_1" rowspan="1" colspan="1" style="text-align:right;">Dissatisfied %</cell>
<-cell id="cell_0_2" rowspan="1" colspan="1" style="text-align:center;">LONDON %</cell>
<-cell id="cell_0_3" rowspan="1" colspan="1" style="text-align:center;">SOUTH EAST %</cell>
<-cell id="cell_0_4" rowspan="1" colspan="1" style="text-align:center;">SOUTH WEST %</cell>
<-cell id="cell_0_5" rowspan="1" colspan="1" style="text-align:center;">EAST MIDLANDS %</cell>
<-cell id="cell_0_6" rowspan="1" colspan="1" style="text-align:center;">EAST OF ENGLAND %</cell>
<-cell id="cell_0_7" rowspan="1" colspan="1" style="text-align:center;">YORKSHIRE AND HUMBER %</cell>
<-cell id="cell_0_8" rowspan="1" colspan="1" style="text-align:center;">NORTH EAST %</cell>
<-cell id="cell_0_9" rowspan="1" colspan="1" style="text-align:center;">NORTHWEST %</cell>
<-cell id="cell_0_10" rowspan="1" colspan="1" style="text-align:center;">URBAN %</cell>
<-cell id="cell_0_11" rowspan="1" colspan="1" style="text-align:center;">RURAL %</cell>
<-cell id="cell_0_12" rowspan="1" colspan="1" style="text-align:center;">job %−%YES %−%NO %−%LOW %−%MEDIUM %−%HIGH %−%o %−%n %−%m %−%l %−%k %−%j %−%i %−%h %−%g %−%e %−%d %−%c %−%b %−%a %−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%−%total_diissatisfied (n)%.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.&.;.
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD2IK (QD2IK), SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... Ability to connect to the internet using the mobile network (3G or 4G). (SINGLE CODE).
<table>
<thead>
<tr>
<td></td>
<td>GENDER</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £11.5K - £23.9K £23.9K+ AB C1 C2 DE</td>
<td>£17.3K £30K+ ENG LAND SCOTLAND WALES NI</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a b c d e f g h i j k l m n o p q r</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157</td>
<td>1330 475 540 937 535</td>
<td>286 223 340 535 589 803 520 573</td>
<td>1523 319 291 345</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708 800</td>
<td>909 313 362 657</td>
<td>383 198 155 249 404 427 549 368 379</td>
<td>1321 204 184 266</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1886</td>
<td>903</td>
<td>329 426 755</td>
<td>167 157 281 516 540 533 413 408</td>
<td>1993 164 86 53</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Base for %</td>
<td>1824</td>
<td>896</td>
<td>327</td>
<td>423</td>
<td>154</td>
<td>206</td>
<td>574</td>
<td>276</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2">Total Significance Level: 95%</th>
```
<th colspan="2">MALE FEMALE</th>
<th colspan="2">AGE GROUP UNDER £11.5K £11.5K - £23.9K £23.9K+ AB C1 C2 DE ENG LAND SCOTLAND WALES NI
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">GENDER MALE FEMALE
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">AGE GROUP UNDER £11.5K £11.5K - £23.9K £23.9K+ AB C1 C2 DE ENG LAND SCOTLAND WALES NI
</table>
</tr>
</thead>
<tbody>
<tr style="background-color: #f0f0f0;">
<td colspan="2"></td>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">HOUSEHOLD INCOME
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">SOCIAL GROUP
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">NATION
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">ENG LAND SCOTLAND WALES NI
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
<tbody>
<tr style="background-color: #f0f0f0;">
<td colspan="2"></td>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<th colspan="2">GENDER MALE FEMALE
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></th>
<tbody style='text-align:center;'>
<!-- Table content -->
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
</tbody>
</table>
</thead>
<tbody style='text-align:center;'>
<!-- Table content -->
</tbody>
<!-- Table content -->
<!-- Table content -->
<!-- Table content -->
<!-- Table content -->
<!-- Table content -->
<!-- Table content -->
<!-- Table content -->
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<!-- Table content -->
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```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD23K (QD21K), SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... Ability to connect to the internet using the mobile network (3G or 4G). (SINGLE CODE).
<table>
<thead>
<tr>
<td></td>
<td>GENDER</td>
<td>AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>UNDER £11.5K</td>
<td>£11.5K - £17.5K</td>
<td>£17.5K+ £30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487 1157</td>
<td>1330 909</td>
<td>475 313</td>
<td>540 382</td>
<td>937 657</td>
<td>535 383</td>
<td>286 198</td>
<td>223 155</td>
<td>340 249</td>
<td>535 404</td>
<td>589 427</td>
<td>803 549</td>
<td>520 368</td>
<td>573 379</td>
<td>1532 1321</td>
<td>319 204</td>
<td>291 184</td><td>r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 54
QD2IK (QD21K). SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... Ability to connect to the internet using the mobile network (3G or 4G). (SINGLE CODE).
Base : Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>SOUTH MIDs</th>
<th>EAST MIDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201<br>164<br>186<br>162<br>172<br>188<br>175<br>156<br>168<br>177<br>164<br>74<br>209<br>26%<br>4%<br>7%</td>
<td>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>921<br>1559<br>646<br>1559<br>921<br>1175</td><td>1312</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1708</td>
<td>180<br>155<br>159<br>151<br>160<br>160<br>163<br>145<br>154<br>1432<br>300<br>1094<br>638<br>818</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>912</td>
</tr>
<tr>
<td>Total</td>
<td>1896</td>
<td>275<br>243<br>156<br>126<br>168<br>177<br>74<br>209<br>245<br>1374<br>574<br>1004<br>892</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>n%<br>n%<br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%</br>n%<table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Base for %</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Very satisfied</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Fairly satisfied</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">bcdefgn</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">TOTAL SATISFIED</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Neither</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Fairly dissatisfied</table>
<tr style="background-color: #f0f0f0;">
<td style="text-align: center;">Columns Tested: a,b,c,d,e,f,g,h,j,k-l,m-n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 54
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QD23K (QD21K). SHOWCARD Thinking about your mobile phone service only, please use this card to say how satisfied you are with (MAIN SUPPLIER) for each of the following... Ability to connect to the internet using the mobile network (3G or 4G). (SINGLE CODE).
Base : Those with a smartphone
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKS&HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2487</td>
<td>201<br>164<br>186<br>162<br>172<br>168<br>175<br>156<br>168<br>163<br>145<br>154<br>1432<br>300<br>1094<br>646<br>1559<br>921<br>1175<br>1312</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <img>A bar chart showing the distribution of satisfaction levels across different regions in England.</img> </table>
Effective Weighted Sample Total Very dissatisfied 3% TOTAL DISSATISFIED Don't know Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>519 604</td>
<td>1442 915</td>
<td>491 451</td>
<td>615 765</td>
<td>1122 751</td>
<td>1022 833</td>
<td>2389 502</td>
<td>489 507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1197</td>
<td>1308 403</td>
<td>401 807</td>
<td>377 268</td>
<td>461 578</td>
<td>755 534</td>
<td>660 316</td>
<td>1916 310</td>
<td>301 378</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364</td>
<td>466 915</td>
<td>927 317</td>
<td>280 358</td>
<td>712 580</td>
<td>661 2236</td>
<td>233 233</td>
<td>132 74</td>
</tr>
<tr>
<td><strong>Yes - PC (including Macs)</strong></td>
<td><strong>435</strong></td>
<td><strong>456</strong></td>
<td><strong>380</strong></td>
<td><strong>106</strong></td>
<td><strong>95</strong></td>
<td><strong>298</strong></td>
<td><strong>64</strong></td>
<td><strong>107</strong></td>
<td><strong>253</strong></td>
<td><strong>310</strong></td>
<td><strong>250</strong></td>
<td><strong>158</strong></td>
<td><strong>118</strong></td>
<td><strong>727</strong></td>
<td><strong>53</strong></td>
<td><strong>43</strong></td>
<td><strong>12</strong></td>
</tr>
<tr>
<td><strong></strong></td>
<td><strong>31%</strong></td>
<td><strong>30%</strong></td>
<td><strong>29%</strong></td>
<td><strong>20%</strong></td>
<td><strong>32%</strong></td>
<td><strong>15%</strong></td>
<td><strong>29%</strong></td>
<td><strong>43%</strong></td>
<td><strong>43%</strong></td>
<td><strong>35%</strong></td>
<td><strong>27%</strong></td>
<td><strong>25%</strong></td>
<td><strong>26%</strong></td>
<td><strong>84%</strong></td>
<td><strong>9%</strong></td>
<td><strong>5%</strong></td>
<td><strong>3%</strong></td>
</tr>
<tr>
<td><em>b </em></td>
<td><em>b </em></td>
<td><em>cif </em></td>
<td><em>d </em></td>
<td><em>f </em></td>
<td><em>i </em></td>
<td><em>j </em></td>
<td><em>k </em></td>
<td><em>m </em></td>
<td><em>n </em></td>
<td><em>p </em></td>
<td><em>r </em></td>
<td><em>s </em></td>
<td><em>t </em></td>
<td><em>v </em></td>
<td><em>w </em></td>
<td><em>x </em></td>
<td><em>y </em></td>
<td><em>Z </em></td>
<tr style="border-top: double;">
<th colspan="1">Yes - laptop (including MacBooks)</th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"><u style="font-weight:bold;">Yes - laptop (including MacBooks)</u> </th>
<th style="border-top: double;"></table>
<tr colspan='2' align='right'><b>Total YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <b>TOTAL YES:</b>: <br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></table>
<table border='1'>
<thead border='none'>
<tr border='none'>
<th colspan='2'>Columns Tested:<small>a · c/e/f · g/h/i · k/l/m-n · o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/z/b/c/d/e/f/g/h/i/j/k/l/m-n/o/p/q/r/s/t/u/v/w/x/y/...</small>'
</thead>
```
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</tbody>
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```
<table border='none'>
<thead border='none'>
<tr border='none'>
<th colspan='2'>Total Yes<br>(n = 8,899)<small>a · c/e/f · g/h<i>i · j · k / l / m-</small>n · o / p / q / r / s / t / u / v / w / x / y / z / b / c / d / e / f / g / h / i / j / k / l / m-</small>n · o / p / q / r / s / t / u / v / w / x / y / z / b / c / d / e / f / g / h / i / j / k / l / m-</small>n · o / p / q / r / s / t / u / v / w / x / y / z<b>/ b/<small>c/<small>d/<small>e/<small>f/<small<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j<k<l<m-</small>n<b<c<d>e<f<g<h<i<j>k...
</tfoot
</thead
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
</tbody
</table
</tfoot
<tbody border='none'>
<tr border='none'>
<t...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
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...
...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? [MULTI CODE]
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>1947 519</td>
<td>604 1172 1442</td>
<td>559 401 451 615</td>
<td>797 1122 791 1022</td>
<td>2338 502 489 507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1197</td>
<td>1308 343</td>
<td>401 807 971</td>
<td>377 268 325 461</td>
<td>578 755 534 660</td>
<td>1916 310 301 378</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364</td>
<td>469 915</td>
<td>927 317 280 358</td>
<td>583 712 580 661</td>
<td>2236 233 132 74</td>
</tr>
<tr>
<td>LAPTOP ONLY TABLET ONLY</td>
<td>49% 51%<br>16% 18%</td>
<td>51%<br>49%</td>
<td>5%<br>4%</td>
<td>8%<br>9%</td>
<td>8%<br>9%</td>
<td>8%<br>9%</td>
</tr>
<tr>
<td>No Don't know</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
Columns Tested: a.b . c.d.e.f . g.h.i.j . k.l.m.n . o.p.q.r
Prepared by Saville Rossiter Base : \<page_number>01727 899 399\</page_number>
Table 55 OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote on weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861</td>
<td>1863</td>
<td>1792</td>
<td>1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082</td>
<td>456</td>
<td>1294</td>
<td>1256</td>
<td>1218</td>
<td>1321</td>
</tr>
<tr>
<td>Total<br><br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>2675<br></td>
<td>358<br></td>
<td>359<br></td>
<td>227<br></td>
<td>199<br></td>
<td>247<br></td>
<td>245<br></td>
<td>226<br></td>
<td>114<br></td>
<td>302<br></td>
<td>2315<br></td>
<td>360<br></td>
<td>1552<br></td>
<td>1114<br></td>
<td>1443<br></td>
<td>1323<br></td>
<tr style="border-top: 1px solid black;">
<td colspan="8" style="text-align: center;">Yes - PC (including Macs)</td>
```
<table border="0">
<tbody>
<tr style="text-align: center;">
<td style="width: 40%; vertical-align: top;">835<br>(31%)<hr/></tr>
<tr style="text-align: center;">
<td style="width: 40%; vertical-align: top;">aegdhj<br>bghdjh<br>cdeghj<br>dheghj<br>eafghj<br>fheghj<br>Gheghj<br>Hheghj<br>Iheghj<br>Jheghj<br>Kheghj<br>Lheghj<br>Mheghj<br>Nheghj<br>Oheghj<br>Pheghj<br>Qheghj<br>Rheghj<br>Sheghj<br>Tieghj<br>Vheghj<br>Xheghj<br>Zheghj<hr/></tr>
</tr>
<tr style="text-align: center;">
<td style="width: 40%; vertical-align: top;">aegdhj<br>bghdjh<br>cdeghj<br>dheghj<br>eafghj<br>fheghj<br>Gheghj<br>Hheghj<br>Iheghj<br>Jheghj<br>Kheghj<br>Lheghj<br>Mheghj<br>Nheghj<br>Oheghj<br>Pheghj<br>Qheghj<br>Rheghj<br>Sheghj<br>Tieghj<br>Vheghj<br>Xheghj<br>Zheghj<hr/></tr>
</tr>
<tr style="text-align: center;">
<td style="width: 40%; vertical-align: top;">aegdhj<br>bghdjh<br>cdeghj<br>dheghj<br>eafghj<br>fheghj<br>Gheghj<br>Hheghj<br>Iheghj<br>Jheghj<br>Kheghj<br>Lheghj<br>Mheghj<br>Nheghj<br>Oheghj<br>Pheghj<br>Qheghj<br>Rheghj<br>Sheghj<br>Tieghj<br>Vheghj<br>Xheghj<br>Zheghj<hr/></tr>
</tr>
<tr style="text-align: center;">
<td style="width: 40%; vertical-align: top;">aegdhj<br>bghdjh<br>cdeghj<br>dheghj<br>eafghj<br>fheghj<br>Gheghj<br>Hheghj<br>Iheghj<br>Jheghj<br>Kheghj<br>Lheghj<br>Mheghj<br>Nheghj<br>Ohegjh<br>Pgegjh<br>Qgegjh<br>Rgegjh<br>Sgegjh<br>Tgegjh<br>Vgegjh<br>Xgegjh<br>Zgegjh<br><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr> </tr>
</tr>
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tr colspan=8 rowspan=8 align=center valign=top
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td colspan=8 rowspan=8 align=center valign=top
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td colspan=8 rowspan=9 align=center valign=topleft
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```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td>Significance Level: 95%</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249<br>251<br>247<br>250<br>251<br>237<br>252<br>251<br>251<br>2711<br>1028<br>1861<br>1792<br>1945</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Effective Weighted Sample<br>Total<br>LAPTOP ONLY<br>bcd<sup>eighjyfz</sup>|<br>TABLET ONLY<br>No<br>Don't know<br>%|Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|<br>-%|
</table>
<table cellspacing="0" style="width: 100%; border-collapse: collapse;">
<tbody style="text-align: center;">
<tr style="border-bottom: 1px solid black;">
<th>Total (n)</th>
<th>LONDON (n)</th>
<th>SOUTH EAST (n)</th>
<th>SOUTH WEST (n)</th>
<th>EAST MIDLANDS (n)</th>
<th>EAST OF ENGLAND (n)</th>
<th>YORKSHIRE AND HUMBER (n)</th>
<th>NORTH EAST (n)</th>
<th>NORTH WEST (n)</th>
<th>URBAN (n)</th>
<th>RURAL (n)</th>
<th>YES (n)</th>
<th>NO (n)</th>
<th>LOW (n)</th>
<th>MEDIUM- (n)</th>
<th>HIGH (n)</th>
</tr>
```
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">3737 | 249 | 251 | 247 | 250 | 251 | 237 | 252 | 251 | 251 | 2711 | 1028 | 1861 | 1792 | 1945 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 | 237 | 250 |
</tr>
<tr style="border-top: none;">
<td style="text-align: right;">Total (n) = Total (n) = Unweighted total = Effective Weighted Sample = Total = LAPTOP ONLY = TABLET ONLY = No = Don't know = % = Columns Tested:</tr>
</tr>
<tr style="border-top: none;">
<table cellspacing="0" style="width: auto; border-collapse: collapse;">
<tbody style="text-align: center;">
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<table cellspacing="0" style="width: auto; border-collapse: collapse;">
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```
<table cellspacing=''>
<tr class='header_bottom_margin'>
<td colspan='8' align='center'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table cellspacing=''>
<tr class='header_bottom_margin'>
<td colspan='8' align='center'>Table 55
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? (MULTI CODE)
Base : All respondents
<table cellspacing=''>
<tr class='header_bottom_margin'>
<td colspan='8' align='center'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table cellspacing=''>
<tr class='header_bottom_margin'>
<td colspan='8' align='center'>Table 55
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE1. Does your household have a desktop PC, laptop, netbook or tablet computer? (MULTI CODE)
Base : All respondents
<table cellspacing=''>
<tr class='header_bottom_margin'>
<td colspan='8' align='center'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table>
<table cellspacing=''>
<tr class='header_bottom_margin'>
<td colspan='8' align='center'>Table 55
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE2 (QE35). How many tablet computers do you have in your household? [SINGLE CODE]
Base: Those with any tablet computers in the household
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td>k</td>
<td>k</td>
<td>k</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER 11.1k $11.9k $29.8k $30k</td>
<td>E1Y.5K E1Y.7K E1Y.9K E1Y.9K</td>
<td>AB C1 C2 DE</td>
<td>8 4 177 264 294 257 828 88 626 556 56%</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Unweighted total<br>Effective Weighted Sample<br>Total<br>One<br>Two<br>Three<br>Four<br>Five or more<br>Don't know<br>Mean number<br>Standard deviation<br>Columns Tested: a-b.c.d.e-f.g-h.i-j.k-l.m-n.o-p.q.r</table>
<table>
<thead>
<tr>
<th>Total</th>
<th>MALE FEMALE</th>
<th>16-24 25-34 35-54 55+</th>
<th>UNDER 11.1k $11.9k $29.8k $30k</th>
<th>E1Y.5K E1Y.7K E1Y.9K E1Y.9K</th>
<th>AB C1 C2 DE</th>
<th>8 k m n p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE2 (QE35). How many tablet computers do you have in your household? (SINGLE CODE)
Base: Those with any tablet computers in the household
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM*</th>
<th>HIGH</th>
</tr>
<tr>
<th></th>
<th></th>
<th>a b c d e f g h i j k l m n o p q r s t u v w x y z aa bb cc dd ee ff gg hh ii jj kk ll mm nn oo pp qq rr ss tt uu vv ww xx yy zz aaa bbb ccc ddd eee fff ggg hhh iii jjj kkk lll mmm nnn ooo ppp qqq rrr sss ttt uuu vvv www xxy yyy zzz A B C D E F G H I J K L M N O P Q R S T U V W X Y Z AA BB CC DD EE FF GG HH II JJ KK LL MM NN OO PP QQ RR SS TTUU VVV WWW XXYY ZZAA BBB CCC DDD EEE FFF GGG HHH III JJJ KKK LLL MMM NNNOO PPPQQ RRRSS TTTUU VVVWWXXYYZZAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCCC DDDD EEEE FFFF GGGGHIIJJKKLLMMNNOOO PPPQQRRRSSTTUUUVVWWXXYYZZAAA BBBCC
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE3 (QE36). Do you personally use this/any of these tablet computers? (SINGLE CODE)
Base: Those with any tablet computers in the household
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 11.9K</td>
<td>E11.9K - E17.9K</td>
<td>E17.9K - E29.9K</td>
<td>E29.9K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOTLAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c</td>
<td>c</td>
<td>c</td>
<td>c</td>
<td>4</td>
<td>n m n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2085</td>
<td>844</td>
<td>1141</td>
<td>318</td>
<td>399</td>
<td>800</td>
<td>568</td>
<td>188</td>
<td>193</td>
<td>280</td>
<td>485</td>
<td>532</td>
<td>678</td>
<td>461</td>
<td>412</td>
<td>1270</td>
<td>264</td>
<td>294</td><td>257</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1442</td>
<td>661</td>
<td>782</td>
<td>212</td>
<td>268</td>
<td>563</td>
<td>406</td>
<td>133</td>
<td>136</td>
<td>205</td>
<td>365</td>
<td>388</td>
<td>466</td>
<td>325</td>
<td>275</td><td>1101</td><td>164</td><td>189</td><td>205</td>
</tr>
<tr>
<td>Total<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><...
```html
<table border="1">
<thead align="center">
<tr style="background-color: #f0f0f0;">
<th colspan="13">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th rowspan="2" style="text-align:center;">Table 57 </th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><th rowspan="2" style="text-align:center;"></th><br/>
</tr>
```
<tr align=center class='table_header'>
<span id='table_header_thead' class='table_header'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4 th January to 29 th February 2016.</span> <span id='table_header_thead' class='table_header'>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</span> <span id='table_header_thead' class='table_header'>QE3 (QE36). Do you personally use this/any of these tablet computers? (SINGLE CODE)</span> <span id='table_header_thead' class='table_header'>Base: Those with any tablet computers in the household.</span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_header'></span> <span id='table_header_thead' class='table_head...
```
````
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE3 (QET6). Do you personally use this/any of these tablet computers? (SINGLE CODE)
Base : Those with any tablet computers in the household
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2085</td>
<td>128<br>163<br>156<br>142<br>118<br>157<br>135<br>132<br>143<br>1501<br>584<br>1283<br>796<br>1063<br>1022</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1442</td>
<td>112<br>154<br>149<br>133<br>108<br>149<br>127<br>123<br>132<br>1181<br>283<br>902<br>557<br>750<br>716</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>1583</td>
<td>174<br>238<br>149<br>111<br>115<br>164<br>131<br>63<br>176<br>1354<br>229<br>1073<br>505<br>913<br>671</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>No</td>
<td rowspan="4">Yes, No, Don't know, %<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Total:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">LONDON:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">SOUTH EAST:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">SOUTH WEST:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">EAST MIDLANDS:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">EAST OF ENGLAND:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">YORKSHIRE AND HUMBER:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">NORTH EAST:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">NORTHWEST:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">URBAN:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">RURAL:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">YES:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">NO:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">LOW:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">MEDIUM-HIGH:</table>
<table border="0">
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">SIGNIFICANCE LEVEL (95%): Total, Unweighted total, Effective Weighted Sample, Total, Yes, No, Don't know, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, %, % <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img> <img>'</img>><br>Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 58
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE4 (QE37). Is your tablet computer 3G or 4G enabled? This means that the tablet could be used - with a SIM card - to go online from anywhere with a signal, without the need for a Wi-Fi connection? (SINGLE CODE)
Base: Those who personally use a tablet computer
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER E11.5K- E17.5K- E29.5K+ E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>242 331 645 482 138 153 233 401 445 567 370 287 1013 214 229 224</td>
<td>4 m n o p q r s t u v w x y z</td>
<td>7</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1680</td>
<td>730</td>
<td>950</td>
<td>698</td>
<td>817 261 519 321 80 107 187 381 392 377 299 205 1063 67 38</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1152</td>
<td>511</td>
<td>641</td>
<td>220</td>
<td>448</td>
<td>98</td>
<td>107</td>
<td>170</td>
<td>302</td>
<td>319</td>
<td>385</td>
<td>259</td>
<td>198</td>
<td>877</td>
<td>137</td>
<td>146</td><td>178</td>
</tr>
<tr>
<td>Total</td>
<td>1274</td>
<td>576</td>
<td>698</td>
<td>173</td>
<td>261</td>
<td>519</td>
<td>321</td>
<td>80</td>
<td>107</td>
<td>187</td>
<td>381</td>
<td>392</td>
<td>377</td>
<td>299</td>
<td>205</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndd<sup>n </sup>d<sup>m </sup>d<sup>p </sup>d<sup>r </sup>d<sup>s </sup>d<sup>t </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sup>w </sup>d<sup>x </sup>d<sup>y </sup>d<sup>v </sup>d<sub>n <sub>m <sub>p <sub>r <sub>s <sub>t <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v <sub>w <sub>x <sub>y <sub>v < subw >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >w >x >y >v >=w >=s >=t >=u >=z >=a >=b >=c >=d >=e >=f >=g >=h >=i >=j >=k >=l >=m >=n >=o >=p >=q >=r >=s >=t >=u >=z >=a >=b >=c >=d >=e >=f >=g >=h >=i >=j >=k >=l >=m >=n >=o >=p >=q >=r >=s >=t >=u >=z <=a <=b <=c <=d <=e <=f <=g <=h <=i <=j <=k <=l <=m <=n <=o <=p <=q <=r <=s <=t <=u <=z <=a <=b <=c <=d <=e <=f <=g <=h <=i <=j <=k <=l <=m <=n <=o <=p <=q <=r <=s <=t <=u <=z =a =b =c =d =e =f =g =h =i =j =k =l =m =n =o =p =q =r =s =t =u =z !=a !=b !=c !=d !=e !=f !=g !=h !=i !=j !=k !=l !=m !=n !=o !=p !=q !=r !=s !=t !=u !=z !a !b !c !d !e !f !g !h !i !j !k !l !m !n !o !p !q !r !s !t !u !z !a !b !c !d !e !f !g !h !i !j !k !l !m !n !o !p !q !r !s !t !u !z ==a ==b ==c ==d ==e ==f ==g ==h ==i ==j ==k ==l ==m ==n ==o ==p ==q ==r ==s ==t ==u ==z ==a ==b ==c ==d ==e ==f ==g ==h ==i ==j ==k ==l ==m ==n ==o ==p ==q ==r ==s ==t ==u ==z ===a ===b ===c ===d ===e ===f ===g ===h ===i ===j ===k ===l ===m ===n ===o ===p ===q ===r ===s ===t ===u ===z ===a ===b ===c ===d ===e ===f ===g ===h ===i ===j ===k ===l ===m ===n ===o ===p ===q ===r ===s ===t ===u ===z !==a !==b !==c !==d !==e !==f !==g !==h !==i !==j !==k !==l !==m !==n !==o !==p !==q !==r !==s !==t !==u !==z !==a !==b !==c !==d !==e !==f !==g !==h !==i !==j !==k !==l !==m !==n !==o !==p !==q !==r !==s !==t !==u !==z !=a !=b !=c !=d !=e !=f !=g !=h !=i !=j !=k !=l !=m !=n !=o !=p !=q !=r !=s !=t !=u !=z !=a !=b !=c !=d !=e !=f !=g !=h !=i !=j !=k !=l !=m !=n !=o !=p !=q !=r !=s !=t !=u !=z -=a -=b -=c -=d -=e -=f -=g -=h -=i -=j -=k -=l -=m -=n -=o -=p -=q -=r -=s -=t -=u -=z -=a -=b -=c -=d -=e -=f -=g -=h -=i -=j -=k -=l -=m -=n -=o -=p -=q -=r -=s -=t -=u -=z --a --b --c --d --e --f --g --h --i --j --k --l --m --n --o --p --q --r --s --t --u --z --a --b --c --d --e --f --g --h --i --j --k --l --m --n --o --p --q --r --s --t --u --z ---a ---b ---c ---d ---e ---f ---g ---h ---i ---j ---k ---l ---m ---n ---o ---p ---q ---r ---s ---t ---u ---z ---a ---b ---c ---d ---e ---f ---g ---h ---i ---j ---k ---l ---m ---n ---o ---p ---q ---r ---s ---t ---u ---z ----a ----b ----c ----d ----e ----f ----g ----h ----i ----j ----k ----l ----m ----n ----o ----p ----q ----r ----s ----t ----u ----z ----a ----b ----c ----d ----e ----f ----g ----h ----i ----j ----k ----l ----m ----n ----o ----p ----q ----r ----s ----t ----u ----z -----a -----b -----c -----d -----e -----f -----g -----h -----i -----j -----k -----l -----m -----n -----o -----p -----q -----r -----s -----t -----u -----z -----a -----b -----c -----d -----e -----f -----g -----h -----i -----j -----k -----l -----m -----n -----o -----p -----q -----r -----s -----t -----u -----z ------a ------b ------c ------d ------e ------f ------g ------h ------i ------j ------k ------l ------m ------n ------o ------p ------q ------r ------s ------t ------u ------z ------a ------b ------c ------d ------e ------f ------g ------h ------i ------j ------k ------l ------m ------n ------o ------p ------q ------r ------s ------t ------u ------z -------a -------b -------c -------d -------e -------f -------g -------h -------i -------j -------k -------l -------m -------n -------o -------p -------q -------r -------s -------t -------u -------z -------a -------b -------c -------d -------e -------f -------g -------h -------i -------j -------k -------l -------m -------n -------o -------p -------q -------r -------s -------t -------u -------z --------a --------b --------c --------d --------e --------f --------g --------h --------i --------j --------k --------l --------m --------n --------o --------p --------q --------r --------s --------t --------u --------z --------a --------b --------c --------d --------e --------f --------g --------h --------i --------j --------k --------l --------m --------n --------o --------p --------q --------r --------s --------t --------u --------z ---------a ---------b ---------c ---------d ---------e ---------f ---------g ---------h ---------i ---------j ---------k ---------l ---------m ---------n ---------o ---------p ---------q ---------r ---------s ---------t ---------u ---------z ---------a ---------b ---------c ---------d ---------e ---------f ---------g ---------h ---------i ---------j ---------k ---------l ---------m ---------n ---------o ---------p ---------q ---------r ---------s ---------t ---------u ---------z ----------a ----------b ----------c ----------d ----------e ----------f ----------g ----------h ----------i ----------j ----------k ----------l ----------m ----------n ----------o ----------p ----------q ----------r ----------s ----------t ----------u ----------z ----------a ----------b ----------c ----------d ----------e ----------f ----------g ----------h ----------i ----------j ----------k ----------l ----------m ----------n ----------o ----------p ----------q ----------r ----------s ----------t ----------u ----------z ------------a ------------b ------------c ------------d ------------e ------------f ------------g ------------h ------------i ------------j ------------k ------------l ------------m ------------n ------------o ------------p ------------q ------------r ------------s ------------t ------------u ------------z ------------a ------------b ------------c ------------d ------------e ------------f ------------g ------------h ------------i ------------j ------------k ------------l ------------m ------------n ------------o ------------p ------------q ------------r ------------s ------------t ------------u ------------z ----------------a ----------------b ----------------c ----------------d ----------------e ----------------f ----------------g ----------------h ----------------i ----------------j ----------------k ----------------l ----------------m ----------------n ----------------o ----------------p ----------------q ----------------r ----------------s ----------------t ----------------u ----------------z ----------------a ----------------b ----------------c ----------------d ----------------e ----------------f ----------------g ----------------h ----------------i ----------------j ----------------k ----------------l ----------------m ----------------n ----------------o ----------------p ----------------q ----------------r ----------------s ----------------t ----------------u ----------------z --------------------a --------------------b --------------------c --------------------d --------------------e --------------------f --------------------g --------------------h --------------------i --------------------j --------------------k --------------------l --------------------m --------------------n --------------------o --------------------p --------------------q --------------------r --------------------s --------------------t --------------------u --------------------z --------------------a --------------------b --------------------c --------------------d --------------------e --------------------f --------------------g --------------------h --------------------i --------------------j --------------------k --------------------l --------------------m --------------------n --------------------o --------------------p --------------------q --------------------r --------------------s --------------------t --------------------u --------------------z ---------------------------------a ---------------------------------b ---------------------------------c ---------------------------------d ---------------------------------e ---------------------------------f ---------------------------------g ---------------------------------h ---------------------------------i ---------------------------------j ---------------------------------k ---------------------------------l ---------------------------------m ---------------------------------n ---------------------------------o ---------------------------------p ---------------------------------q ---------------------------------r ---------------------------------s ---------------------------------t ---------------------------------u ---------------------------------z ---------------------------------a ---------------------------------b ---------------------------------c ---------------------------------d ---------------------------------e ---------------------------------f ---------------------------------g ---------------------------------h ---------------------------------i ---------------------------------j ---------------------------------k ---------------------------------l ---------------------------------m ---------------------------------n ---------------------------------o ---------------------------------p ---------------------------------q ---------------------------------r ---------------------------------s ---------------------------------t ---------------------------------u ---------------------------------z ----------------------------------------------------a ----------------------------------------------------b ----------------------------------------------------c ----------------------------------------------------d ----------------------------------------------------e ----------------------------------------------------f ----------------------------------------------------g ----------------------------------------------------h ----------------------------------------------------i ----------------------------------------------------j ----------------------------------------------------k ----------------------------------------------------l ----------------------------------------------------m ----------------------------------------------------n ----------------------------------------------------o ----------------------------------------------------p ----------------------------------------------------q ----------------------------------------------------r ----------------------------------------------------s ----------------------------------------------------t ----------------------------------------------------u ----------------------------------------------------z ----------------------------------------------------a ----------------------------------------------------b ----------------------------------------------------c ----------------------------------------------------d ----------------------------------------------------e ----------------------------------------------------f ----------------------------------------------------g ----------------------------------------------------h ----------------------------------------------------i ----------------------------------------------------j ----------------------------------------------------k ----------------------------------------------------l ----------------------------------------------------m ----------------------------------------------------n ----------------------------------------------------o ----------------------------------------------------p ----------------------------------------------------q ----------------------------------------------------r ----------------------------------------------------s ----------------------------------------------------t ----------------------------------------------------u ----------------------------------------------------z ------------------------------------------------------------ a ------------------------------------------------------------ b ------------------------------------------------------------ c ------------------------------------------------------------ d ------------------------------------------------------------ e ------------------------------------------------------------ f ------------------------------------------------------------ g ------------------------------------------------------------ h ------------------------------------------------------------ i ------------------------------------------------------------ j ------------------------------------------------------------ k ------------------------------------------------------------ l ------------------------------------------------------------ m ------------------------------------------------------------ n ------------------------------------------------------------ o ------------------------------------------------------------ p ------------------------------------------------------------ q ------------------------------------------------------------ r ------------------------------------------------------------ s ------------------------------------------------------------ t ------------------------------------------------------------ u ------------------------------------------------------------ z ------------------------------------------------------------ a ------------------------------------------------------------ b------------
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE4 (QE37). Is your tablet computer 3G or 4G enabled? This means that the tablet could be used - with a SIM card - to go online from anywhere with a signal, without the need for a Wi-Fi connection? (SINGLE CODE)
Base: Those who personally use a tablet computer
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h<i>-i</i></td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1880</td>
<td>104<br>124<br>125<br>114<br>104<br>120<br>109<br>98<br>115<br>1211<br>469<br>1045<br>833<br>859<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>b<br>c<br>d<br>e<br>f<br>g<br>h<i>-i</i></td>
<td>j<br>k<br>m<br>n<br>o</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1152<br>94<br>117<br>120<br>107<br>96<br>114<br>103<br>91<br>105<br>943<br>227<br>729<br>442<br>604<br> </td>
<td>b<br>c<br>d<br>e<br>f<br>g<br>h<i>-i</i></td>
<td>j<br>k<br>m<br>n<br>o</td>
</tr>
<tr>
<td>Total</td>
<td>1274</td>
<td>185<br>195<br>9%<i>-i</i></td>
<td>b<br>c<br>d<br>e<br>f<br>g<h>i-jk-l-m-n-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><<i>-o></i><i-<a href="#_ftnref_3" class="footnote-ref"><sup>*3*</sup></a></td>
<td>b<c>d<c>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e<f<g<h>i-jk-l-m-n-o>>>e>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d<c>e<c>f<c<d>c<sup>*</sup></a></sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sup>*<sup>*</sub
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE5 (QE38). And do you have a separate mobile subscription for your tablet, which allows you to go online from anywhere with a 3G or 4G signal, without the need for a Wi-Fi connection? (SINGLE CODE)
Base: Those who use a 3G or 4G enabled tablet computer
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.9K</td>
<td>E11.9K-£17.9K</td>
<td>E17.9K-£29.9K</td>
<td>E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Unweighted total</td>
<td>590</td>
<td>263</td>
<td>327</td>
<td>90</td>
<td>133</td>
<td>231</td>
<td>138</td>
<td>41</td>
<td>47</td>
<td>78</td>
<td>145</td>
<td>207 141 82 357 61 82 90</td>
</tr>
<tr>
<td></td>
<td>Effective Weighted Sample</td>
<td>402</td>
<td>182</td>
<td>221</td>
<td>59</td>
<td>94</td>
<td>159</td>
<td>93</td>
<td>30</td>
<td>32</td>
<td>61</td>
<td>112</td><td>109 138 98 59 307 37 55 76</td>
</tr>
<tr>
<td>Total</td>
<td>457</td>
<td>217</td>
<td>238</td>
<td>65</td>
<td>112</td>
<td>188</td>
<td>92</td>
<td>23</td>
<td>36</td>
<td>73</td><td>143 138 143 109 66 382 32 26 17</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th> </th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th>
<th colspan="2">Yes<br>No<br>Don't know<br>Total (n)</th> <table>
<tr style="background-color: #e6e6e6;">
<td style="text-align: center;">Total (n): 457 </table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e6;">
<table>
<tr style="background-color: #e6e6e
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 59
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE5 (QE38). And do you have a separate mobile subscription for your tablet, which allows you to go online from anywhere with a 3G or 4G signal, without the need for a Wi-Fi connection? (SINGLE CODE)
Base: Those who use a 3G or 4G enabled tablet computer
<table>
<thead>
<tr>
<td>Total</td>
<td colspan="10">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
<td>HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>590</td>
<td>59</td>
<td>31</td>
<td>36</td>
<td>43</td>
<td>28</td>
<td>33</td>
<td>30</td>
<td>39</td>
<td>58</td>
<td>444</td>
<td>146</td>
<td>388</td>
<td>202</td>
<td>281</td><td>309</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>402</td>
<td>54</td>
<td>29</td>
<td>34</td>
<td>40</td>
<td>28</td>
<td>32</td>
<td>28</td>
<td>37</td>
<td>53</td>
<td>336</td>
<td>72</td>
<td>270</td><td>137</td><td>203</td><td>206</td>
</tr>
<tr>
<td>Total<br/>Yes<br/>No<br/>Don't know<br/>3%</td><td>457<br/>159<br/>286<br/>14<br/>3%</td><td>85<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/>**<br/></td><td>85<br/><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</strong><strong>*</强<br/></table>
<table border="1">
<thead>
<tr style="background-color: #cccccc;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th></tr>
<tr style="background-color: #cccccc;">
<th></th>
<th>LONDON<br>(-a)</th>
<th>SOUTH EAST<br>(-b)</th>
<th>SOUTH WEST<br>(-c)</th>
<th>EAST MIDLANDS<br>(-d)</th>
<th>EAST OF ENGLAND<br>(-e)</th>
<th>YORKSHIRE AND HUMBER<br>(-f)</th>
<th>NORTH EAST<br>(-g)</th>
<th>NORTHWEST<br>(-h)</th>
<th>URBAN<br>(-i)</th>
<th>RURAL<br>(-j)</th>
<th>YES<br>(k)</th>
<th>NO<br>(l)</th>
<th>LOW<br>(m)</th>
<th>MEDIUM-M<br>(n)</th>
<th>HIGH<br>(o)</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></table>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<thead style="background-color: #cccccc;">
<tbody style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
</table
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 60
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE6 (QE64). SHOWCARD And how often do you personally use the mobile signal on your tablet computer to go online - rather than using a Wi-Fi connection? (SINGLE CODE)
Base : Those with a separate mobile subscription for their 3G or 4G enabled tablet computer.
<table>
<thead>
<tr>
<th>GENDER</th>
<th>Total</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER</td>
<td>E11.9K+</td>
<td>E17.9K-</td>
<td>E29.9K+</td>
<td>C1 C2 DE</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>192</td>
<td>97</td>
<td>95</td>
<td>29</td>
<td>54</td>
<td>74</td>
<td>35</td>
<td>14</td>
<td>17</td>
<td>38</td>
<td>56</td>
<td>48</td>
<td>71</td>
<td>43</td>
<td>30</td>
<td>-6</td>
<td>-10</td>
<td>-3</td>
<td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</td><td>-5</ td></tr>
<tr>
<td>Effective Weighted Sample Total:</td>
<td>134<br>67<br>67<br>19<br>39<br>55<br>22<br>11<br>12<br>29<br>43<br>33<br>50<br>29<br>21<br>107<br>12<br>18<br>16<br></table>
<table cellspacing="0" cellpadding="0">
<tr style="height: auto;">
<th style="text-align: center;">Every day<br> </th>
<th style="text-align: center;">Total<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> </th>
<th style="text-align: center;">Significance Level: 95%</th>
<th style="text-align: center;">Total<br> </th>
<th style="text-align: center;">AGE GROUP<br> </th>
<th style="text-align: center;">HOUSEHOLD INCOME<br> </th>
<th style="text-align: center;">SOCIAL GROUP<br> </th>
<th style="text-align: center;">ENG LAND<br> </th>
<th style="text-align: center;">SCOT LAND<br> </th>
<th style="text-align: center;">NATION<br> </th>
<th style="text-align: center;">Significance Level: 95%</th>
<th style="text-align: center;">Total<br> </th>
<th style="text-align: center;">AGE GROUP<br> </th>
<th style="text-align: center;">HOUSEHOLD INCOME<br> </th>
<th style="text-align: center;">SOCIAL GROUP<br> </th>
<th style="text-align: center;">ENG LAND<br> </th>
<th style="text-align: center;">SCOT LAND<br> </th>
<th style="text-align: center;">NATION<br> </th>
<th style="text-align: center;">Significance Level: 95%</th>
<th style="text-align: center;">Total<br> </th>
<th style="text-align: center;">AGE GROUP<br> </th>
<th style="text-align: center;">HOUSEHOLD INCOME<br> </th>
<th style="text-align: center;">SOCIAL GROUP<br> </th><th style="text-align: center;">ENG LAND<br> </th><th style="text-align: center;">SCOT LAND<br> </th><th style="text-align: center;">NATION<br> </th><th style="text-align: center;">Significance Level: 95%</th><th style="text-align: center;">Total<br> </th><th style="text-align: center;">AGE GROUP<br> </th><th style="text-align: center;">HOUSEHOLD INCOME<br> </th><th style="text-align: center;">SOCIAL GROUP<br> </th><th style="text-align: center;">ENG LAND<br> </th><th style="text-align: center;">SCOT LAND<br> </th><th style="text-align: center;">NATION<br> </th></tr>
<tr class='header_bottom_margin'>
<div class='table_header'>
<div class='table_column_header' id='table_column_0'>Every day
<div class='table_column_header_text'></div></div>
</tr>
<tr class='header_bottom_margin'>
<div class='table_row_data'>
<div class='table_column_data' id='table_column_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0'>
<div class='table_column_data' id='table_column_0_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0_0'>
<div class='table_column_data' id='table_column_0_0_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0_0_0'>
<div class='table_column_data' id='table_column_0_0_0_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0_0_0_0'>
<div class='table_column_data' id='table_column_0_0_0_0_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0_0_0_0_0'>
<div class='table_column_data' id='table_column_0_0_0_0_0_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0_0_0_0_0_0'>
<div class='table_column_data' id='table_column_0_0_0_0_0_0_0_0'>Total
<div class='table_row_data' id='table_row_data_0_0_0_0_0_0_0'>
<div class='table_column_data' id='table_column_0_0_0_0_0_0_0_1'>Total
<div class='table_row_data' id='table_row_data_0_0_0_0_0_0_1'>
<div class='table_column_data' id='table_column_0_0_0_0_1'>Total
<div class='table_row_data' id='table_row_data_table_caption'>
<span class='caption_text'>A few times a year
<span class='caption_note'></span></span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></tbody>
<table cellspacing="1" cellpadding="1">
<tr align=center height=auto valign=top>
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tbody...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE6 (QE64). SHOWCARD And how often do you personally use the mobile signal on your tablet computer to go online - rather than using a Wi-Fi connection? (SINGLE CODE)
Base : Those with a separate mobile subscription for their 3G or 4G enabled tablet computer
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>192<br>27<br>6<br>7<br>17<br>12<br>8<br>10<br>12<br>27<br>150<br>42<br>140<br>52<br>89<br>103</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>134<br>24<br>6<br>7<br>15<br>12<br>8<br>9<br>11<br>24<br>116<br>20<br>102<br>33<br>62<br>75</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>156<br>36<br>10<br>6<br>13<br>12<br>8<br>10<br>6<br>34<br>140<br>16<br>125<br>31<br>82<br>74</td>
<td></td><td></td><td></td><td></TD
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote a weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q67 (QE1A). SHOWCARD How likely is it that your household will get a tablet computer - such as an iPad - in the next 12 months? (SINGLE CODE)
Base: Those without a tablet computer in the household
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £11.5K+ £17.5K £29.9K E30K+</td>
<td>E17.5K E30K+ E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>s b c c</td>
<td>1 0 1 0</td>
<td>4 371 208 170 443 330 610</td>
<td>996 238 198 250</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1652 846</td>
<td>806 201 205 372 874</td>
<td>371 208 170 443 330 610</td>
<td>996 238 198 250</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1065 537</td>
<td>528 133 132 242 566</td>
<td>244 132 120 96 190 290 290 385</td>
<td>817 147 116 178</td>
</tr>
<tr>
<td>Total</td>
<td>1092 564</td>
<td>527 133 137 271 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18 S18</td>
<td></td>
</tr>
<tr>
<td>Certain to</td>
<td>23 2% f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f</td>
<td>45 % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %</td>
<td></td>
</tr>
<tr>
<td>Very likely</td>
<td>54 32</td>
<td>29 9% g h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h h<hh<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<h<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></td></tr></tbody></table>
<table>
<thead>
<tr>
<th></th>
<th>TOTAL LIKELY</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<table>
<tr>
<td colspan="3">TOTAL LIKELY</td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></td>
<td colspan="3"></ td
</tr>
<tr>
<td rowspan="2">Likely</table>
<table>
<tr>
<table>
<tbody>
<tr>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
<tbody style='display: table-row-group;'>
<tr style='display: table-row;'>
<table cellspacing='0' style='width: auto;'>
</tbody
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
"total_likely": [
"Total Likely",
"Very likely",
"Likely",
"Very unlikely",
"Certain not to"
]
}
}
```json
[
{
"total": {
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>Likely,
>Likely,
>Likely
```json
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q67 (QE1A). SHOWCARD How likely is it that your household will get a tablet computer - such as an iPad - in the next 12 months? (SINGLE CODE)
Base: Those without a tablet computer in the household
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K £30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>1652 846</td>
<td>806 201 372 874</td>
<td>371 208 171 130</td>
<td>205 208 96 190</td>
<td>265 444 330 610</td>
<td>969 238 196 250</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1065 537</td>
<td>528 132 132 244</td>
<td>566 244 132 120</td>
<td>96 190 290 385</td>
<td>817 147 116 178</td>
</tr>
<tr>
<td>Total</td>
<td>1082</td>
<td>527 133 157 271</td>
<td>531 208 124 133</td>
<td>133 232 264 218</td>
<td>379 915 103 43</td>
<td>30</td>
</tr>
<tr>
<td>TOTAL UNLIKELY</td>
<td>675<br>82%</td>
<td>335<br>64%</td>
<td>64<br>89<br>44%</td>
<td>409<br>82<br>77%</td>
<td>87<br>63<br>49%</td>
<td>142<br>148<br>61%</td>
<td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndon't know</table>
<table cellspacing="0" cellpadding="0">
<tr style="background-color: #eaeaea;">
<th colspan="3">Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r</th>
<th style="text-align: right;">Total:</th>
<th style="text-align: right;">Sample Size:</th>
<th style="text-align: right;">Weighted Sample Size:</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Adjusted) (Tested)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted)</th>
<th style="text-align: right;">Weighted Sample Size (Tested): a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r (Tested) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted) (Adjusted)
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q67 (QE1A). SHOWCARD How likely is it that your household will get a tablet computer - such as an iPad - in the next 12 months? (SINGLE CODE)
Base: Those without a tablet computer in the household
<table>
<thead>
<tr>
<th>Total</th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a -b</td>
<td>-c</td>
<td>d -e</td>
<td>f -g</td>
<td>h -i</td>
<td>j -k</td>
<td>l -m</td>
<td>n -o</td>
<td>p -q</td>
<td>r -s</td>
<td>t -u</td>
<td>v -w</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>162</td>
<td>123</td>
<td>88</td>
<td>91</td>
<td>108</td>
<td>135</td>
<td>80</td>
<td>117</td>
<td>119</td>
<td>108</td>
<td>1210</td>
<td>442 578 1067 729 923</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1065</td>
<td>109</td>
<td>84</td>
<td>88</td>
<td>100</td>
<td>125</td>
<td>77</td>
<td>105</td>
<td>109</td>
<td>99</td>
<td>905 174 391 899 469 606</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1092</td>
<td>165</td>
<td>121</td>
<td>78</td>
<td>78</td>
<td>123</td>
<td>81</td>
<td>95</td>
<td>91%</td>
<td>51%</td>
<td>52%</td>
<td>9613 130 479 608 531 581 44%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr style="background-color: #f2f2f2;">
<th>Certain to be likely?</th> <th>Certain to be unlikely?</th> <th>Likely not to be likely?</th> <th>Likely not to be unlikely?</th> <th>TOTAL LIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE LIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE LIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE LIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE LIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY NOT TO BE UNLIKELY?</th> <th>TOTAL UNLIKELY NOT TO BE LIKELY NOT TO BE UNLIKE
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 110 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE7 (QE1A). SHOWCARD How likely is it that your household will get a tablet computer - such as an iPad - in the next 12 months? (SINGLE CODE)
Base : Those without a tablet computer in the household
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-</td>
<td>HIGH</td>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>-b</td>
<td>c-d</td>
<td>d</td>
<td>e-f</td>
<td>g-h</td>
<td>i-j</td>
<td>k-l</td>
<td>m-n</td>
<td>o-p</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br/>
Unweighted total<br/>
Effective Weighted Sample<br/>
Total<br/>
TOTAL UNLIKELY
</tr><tr><td rowspan="2"></td><td>1652</td><td>123<br>109<br>1092<br>675<br>62%</td><td>88<br>84<br>121<br>73<br>44%</td><td>91<br>88<br>78<br>78<br>54%</td><td>108<br>100<br>73<br>73<br>56%</td><td>135<br>125<br>83<br>83<br>67%</td><td>80<br>77<br>81<br>81<br>69%</td><td>117<br>105<br>95<br>95<br>69%</td><td>119<br>105<br>51<br>51<br>44%</td><td>108<br>109<br>126<br>126<br>88%</td><td>1210<br>905<br>961<br>961<br>64%</td><td>442<br>174<br>479<br>479<br>34%</td><td>578<br>391<br>531<br>531<br>34%</td><td>1067<br>469<br>606<br>606<br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br/></table>
Don't know
Columns Tested: a-b.c.d.e.f.g.h-i-j-k-l-m-n-o
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE8 (QEZ). Do you or does anyone in your household have access to the internet? Worldwide Web at HOME (via any device, e.g. PC, laptop, mobile phone etc)? (SINGLE CODE)
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>519 604</td>
<td>1442 1172</td>
<td>593 401</td>
<td>451 615</td>
<td>615 712</td>
<td>1122 751</td>
<td>1023 829</td>
<td>2236 502</td>
<td>489 507</td>
</tr>
<tr>
<td></td>
<td>Effective Weighted Sample</td>
<td>2504 1167</td>
<td>308 343</td>
<td>401 807</td>
<td>377 268</td>
<td>325 461</td>
<td>578 755</td>
<td>534 660</td>
<td>1916 310</td>
<td>301 378</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>2675 1301</td>
<td>3374 368</td>
<td>469 915</td>
<td>927 317</td>
<td>280 358</td>
<td>583 712</td>
<td>720 580</td>
<td>661 2236</td>
<td>233 132</td>
<td>74 8%+<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br><page_number>Table 62</page_number></table>
Yes - have access and use at home
<table border="1">
<thead>
<tr><th></th><th>Total No do not have access at home Don't know Yes Internet Access at Home NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO NO YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YES YESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESYESNONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONONO<br/></table>
Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r
Prepared by Saville Rossler Base: <page_number>01727 899 399</page_number>
<table border="1">
<thead>
<tr><th></th><th>GENDER MALE FEMALE</th><th>AGE GROUP 16-24 25-34 35-54 55+</th><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody><tr><table border="1"><tbody><tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr><tr class="header_bottom_margin"><thead colspan="3"><tr id="__annotation__rowinterval_0"><th colspan="3"></th></tr></thead><tbody id="__annotation__rowinterval_0"></tbody></tr><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £11.9K £17.9K £29.9K E17.9K E30K+</th><th>SOCIAL GROUP AB C1 C2 DE ENG LAND SCOT LAND WALES NI</th><th>NATION Total Unweighted total Effective Weighted Sample Total Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th></tr></thead><tbody id="__annotation__rowinterval_0"><tr class="annotation_item"><tbody id="annotation_0_rowinterval_0"><tr id="annotation_0_rowinterval_0" class=""><TD colspan="3">Yes - have access and use at home No do not have access at home Don't know Yes Internet Access at Home Columns Tested: a.b.c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</TD></tr></tbody></table>
<table border="1">
<thead>
<tr><th>EFFECTIVE WEIGHTED SAMPLE UNDER £1
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE8 (QE2). Do you or does anyone in your household have access to the internet? Worldwide Web at HOME (via any device, e.g. PC, laptop, mobile phone etc)? (SINGLE CODE)
Base: All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249 251 247 250 251 237 237 233 233 237 225 231 232 231 232 231 237 245 246 114 302 2315 360 1552 1114 1443 42% 54% 48%</td>
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</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
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.</span>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE9 (IN£). SHOWGARD Do you ever go online anywhere other than in your home at all? IF YES: Where is that? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737 1790</td>
<td>1947 519</td>
<td>462 1172 1442 501</td>
<td>451 615 797 378</td>
<td>461 578 534 720</td>
<td>1122 751 660 580</td>
<td>1023 502 233 226</td>
<td>489 507</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504 1167</td>
<td>1308 343</td>
<td>401 807</td>
<td>325 461</td>
<td>575 534</td>
<td>660 661</td>
<td>1916 233</td>
<td>310 378</td>
</tr>
<tr>
<td>Total</td>
<td>2675 1301</td>
<td>1374 364</td>
<td>469 915</td>
<td>927 317</td>
<td>280 358</td>
<td>832 720</td>
<td>580 661</td>
<td>2236 233</td>
<td>323 74</td>
</tr>
<tr>
<td>Your workplace</td>
<td>954 491</td>
<td>482 134</td>
<td>245 452</td>
<td>123 68</td>
<td>141 68</td>
<td>331 795</td>
<td>99 92</td>
<td>795 92</td>
<td>43 24</td>
</tr>
<tr>
<td>In someone else's home</td>
<td>936 424</td>
<td>512 206</td>
<td>235 332</td>
<td>164 87</td>
<td>82 138</td>
<td>247 268</td>
<td>202 202</td>
<td>770 89</td>
<td>47 29</td>
</tr>
<tr>
<td>In Internet cafés<sup>a,b,c,d,e,f,g,h,i,j,k,m,n-o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,bb,cc,dd,ee,ff,gg,hh,ii,jj,kk,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,</sup></td>
<td>35%<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td>n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.nnnn.</td>
<td></td>
<td></td></tr>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th colspan="8">Columns Tested: a-b-c.d.e-f-g.h.i-j-k.l.m-n-o.p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p.q.r.s.t.u.v.w.x.y.z,a.b.c.d.e.f.g.h.i.j.k.l.m-n-o-p-q
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE9 (IN6). SHOWGAWD Do you ever go online anywhere other than in your home at all? IF YES: Where is that? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E11.5K-</th>
<th>E17.5K-</th>
<th>E29.9K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>s</td>
<td>4</td>
<td>57</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737<br>1790<br>1947<br>519<br>604<br>1172<br>1442<br>598<br>401<br>807<br>971<br>377<br>268<br>325<br>461<br>578<br>755<br>534<br>660<br>791<br>1122<br>791<br>1022<br>2339<br>502<br>489<br>507</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>x</td>
<td>m</td>
<td>x</td>
<td>m</td>
<td>c</td>
<td>s</td>
<td>4</td>
<td>57</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504<br>1197<br>1308<br>343<br>401<br>807<br>971<br>377<br>268<br>325<br>461<br>578<br>755<br>534<br>660<br>791<br>1122<br>791<br>1022<br>2339<br>502<br>489<br>507</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nUK culture centre/ Learn Direct/ other online learning centres\nOther\nNo, do not\nEVER USE INTERNET AT HOME OR ELSEWHERE\nColumns Tested: a:b-c.d.e.f-g.h.i-j-k.l.m.n-o.p.q.r\nTotal: 49%<table>
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<tr style="background-color: #f0f0f0;">
<td colspan="2" style="text-align: center;">Table 63</td>
<td style="text-align: right;">Prepared by Saville Rossiter Base - 01727 899 399</td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></td>
<td style="text-align: right;"></ td
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE9 (IN6). SHOWCOW Do you ever go online anywhere other than in your home at all? IF YES: Where is that? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>251</td>
<td>2711 1028 1861 1863 1792 1945</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>225</td>
<td>231</td>
<td>232</td>
<td>231</td>
<td>2082 456 1294 1256 1218 1321</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>358</td>
<td>359</td>
<td>227</td>
<td>199</td>
<td>237</td>
<td>245</td>
<td>226</td>
<td>114</td>
<td>302</td>
<td>2315 360 1552 1114 1443 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867 4867<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
Your workplace
<watermark>Bold text: bcdefgijn<br>In someone else's home<br>In Internet cafés<br>In Library<br>In School/college<br>In University<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o<br>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n.o
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th></th>
<th>Total number of respondents (N)</th>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="9">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
| Total | LONDON | SOUTH EAST | SOUTH WEST | EAST MIDLANDS | EAST OF ENGLAND | YORKSHIRE AND THE HUMBER | NORTH EAST | NORTH WEST | URBAN RURAL | RURAL YES NO LOW MEDIUM HIGH
|---|---|---|---|---|---|---|---|---|---|---|---|
| Significance Level: <strong>95%</strong>| | | | | | | | | |
| Unweighted total | <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,939 (N)</strong>| <strong>3,9
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LOW-MEDIUM-LOW-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-Medium-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low-Low
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LOW-MEDIUM-LOW-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-MEDIUM-HIGH-LOW-Medium-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low-low
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LOW-MEDIUM-LOW-HIGH-LOW-MEDIUM-HIGH-LOW-Medium-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower-lower
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LOW-Medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-high-medium-highmedium-hi
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
| Total number of respondents (N) |
|---|
| Significance Level: **<u style="color:red;">HIGH-LO-WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions, urbanity, working status, and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions, urbanity, working status,
and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions,
urbanity,
working status,
and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions,
urbanity,
working status,
and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions,
urbanity,
working status,
and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions,
urbanity,
working status,
and deprivation levels.</img>
<table border="1">
<thead style="background-color:#f0f0f0;">
<tr style="text-align:center;">
<th colspan="10">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL
<img>A table showing data on England regions,
urbanity,
working status,
and deprivation levels.</img>
<table border "border" cellspacing = "border" cellpadding = "border" width = "width" height = "height" align = "align" valign = "valign" rowspan = "rowspan" colspan = "colspan" title = "title" id = "id" class = "class" scope = "scope"><table border "border" cellspacing = "border" cellpadding = "border" width = "width" height = "height" align = "align" valign = "valign" rowspan = "rowspan" colspan = "colspan" title = "title" id = "id" class = "class" scope = "scope"><table border "border" cellspacing = "border" cellpadding = "border" width = "width" height = "height" align = "align" valign = "valign" rowspan = "rowspan" colspan = "colspan" title = "title" id = "id" class = "class" scope = "scope"><table border "border" cellspacing = "border" cellpadding = "border" width = "width" height = "height" align = "align" valign = "valign" rowspan = "rowspan" colspan = "colspan" title = "title" id = "id" class = "class" scope = "scope"><table border "border" cellspacing = "border" cellpadding = "border" width = "width" height = "height" align = "align" valign = "valign" rowspan = "rowspan" colspan = "colspan" title = "title" id = "id" class = "class" scope = "scope"><table border "border"
cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing= cellspacing=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE9 (IN6). SHOWCARD Do you ever go online anywhere other than in your home at all? IF YES: Where is that? (MULTI CODE)
Base : All respondents
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3737</td>
<td>249</td>
<td>251</td>
<td>247</td>
<td>250</td>
<td>251</td>
<td>237</td>
<td>252</td>
<td>251</td>
<td>2711</td>
<td>1028</td>
<td>1861</td>
<td>1792</td>
<td>1945</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2504</td>
<td>221</td>
<td>237</td>
<td>237</td>
<td>233</td>
<td>233</td>
<td>235</td>
<td>231</td>
<td>232</td>
<td>2082</td>
<td>456</td>
<td>1294</td>
<td>1256</td>
<td>1218</td><td>1321</td>
</tr>
<tr>
<td>Total</td>
<td>2675</td>
<td>338<br/>13%</td>
<td>359<br/>13%</td>
<td>227<br/>8%</td>
<td>199<br/>7%</td>
<td>237<br/>9%</td>
<td>245<br/>8%</td>
<td>226<br/>8%</td>
<td>114<br/>4%</td>
<td>302<br/>11%</td>
<td>2315<br/>87%</td><td>360<br/>15%</td><td>1552<br/>58%</td><td>1114<br/>42%</td><td>1443<br/>54%</td><td>1323<br/>48%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th rowspan="2">Other categories (e.g. age, gender, ethnicity)</th><th rowspan="2">Total number of respondents (n)</th><th colspan="6">ENGLAND REGIONS (by region)</th><th colspan="6">URBANITY (by urbanity)</th><th colspan="6">WORKING (by working)</th><th colspan="6">DEPRIVATION LEVEL (by deprivation level)</th><th rowspan="2">Low Medium High Total n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%)
(%) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n)
(%) (n)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th rowspan="2">Other categories (e.g. age, gender, ethnicity)</th><th rowspan="2">Total number of respondents (n)</th><th colspan="6">ENGLAND REGIONS (by region)</th><th colspan="6">URBANITY (by urbanity)</th><th colspan="6">WORKING (by working)</th><th colspan="6">DEPRIVATION LEVEL (by deprivation level)</th><th rowspan="2">Low Medium High Total n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%) n (%)
(%) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n) (n)
(%) (n)</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="text-align: center;">
<th rowspan="2">Other categories (e.g. age, gender, ethnicity)</th><th rowspan="2">Total number of respondents (n)</th><th colspan="6">ENGLAND REGIONS (by region)</th><th colspan="6">URBANITY (by urbanity)</th><th colspan="6">WORKING (by working)</th><th colspan="6">DEPRIVATION LEVEL (by deprivation level)</th><th rowspan="2">Low Medium High Total n (%) n (%) n (%) n (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
(%) (%)
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(%) (%))
(n))
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE10 (QE23): SHOWCARD And how often do you personally use the internet nowadays either at home or elsewhere? (<strong>SINGLE CODE</strong>)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E1T.5K</td>
<td>E17.5K</td>
<td>E17.5K+ E29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1 C2 DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>1471</td>
<td>1829</td>
<td>505</td>
<td>707</td>
<td>1088</td>
<td>930</td>
<td>383</td>
<td>315</td>
<td>419</td>
<td>601</td>
<td>741</td>
<td>990</td>
<td>643</td>
<td>723</td>
<td>1899</td>
<td>405</td>
<td>401</td><td>356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126</td>
<td>1018</td>
<td>1108</td>
<td>332</td>
<td>385</td>
<td>756</td>
<td>663</td>
<td>254</td>
<td>219</td>
<td>305</td>
<td>454</td>
<td>541</td>
<td>677</td>
<td>448</td>
<td>479</td><td>1637</td><td>257</td><td>247</td><td>259</td>
</tr>
<tr>
<td>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> </strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><<strong></table>
<table cellspacing="0">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th colspan="2">Total Significance Level: 95%</th>
<th colspan="2">AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION ENG LAND SCOT LAND WALES NI Total Significance Level: 95%</th></tr>
<tr style="background-color:#f0f0f0;">
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a year Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least once a week At least once a month A few times a year Less than once a week Never Columns Tested:</th>
<th colspan="2">Total Unweighted total Effective Weighted Sample Total Every day Several times a week At least one
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE10 (QE23): SHOWCARD And how often do you personally use the internet nowadays either at home or elsewhere? (SINGLE CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th>GENDER</th>
<th>Total</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER</td>
<td>E11.5K- E17.5K</td>
<td>E29.5K+ E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>1471</td>
<td>1829</td>
<td>505</td>
<td>577</td>
<td>1088</td>
<td>930</td>
<td>383</td>
<td>315</td>
<td>419</td>
<td>601</td>
<td>741</td>
<td>990</td>
<td>643</td>
<td>723</td>
<td>1899</td>
<td>405</td>
<td>401</td>
<td>356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126</td>
<td>1018</td>
<td>1108</td>
<td>332</td>
<td>385</td>
<td>758</td>
<td>663</td>
<td>254</td>
<td>219</td>
<td>305</td>
<td>454</td>
<td>541</td>
<td>677</td>
<td>448</td>
<td>479</td>
<td>1637</td>
<td>257</td>
<td>247</td>
<td>239</td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>1134</td>
<td>1197</td>
<td>354</td>
<td>456</td>
<td>865</td>
<td>657</td>
<td>215</td>
<td>218</td>
<td>335</td>
<td>575</td>
<td>672</td>
<td>863</td>
<td>498</td>
<td>507</td>
<td>1955</td>
<td>202</td>
<td>211</td>
<td>62</td>
</tr>
<tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr><tr><th>TOTAL AT LEAST ONCE A WEEK<br/>TOTAL EVER<br/>Don't know<br/>Columns Tested: a,b-c,d,e-f-g,h,i-j-k,l,m-n-o,p,q,r)</th><th colspan="2">49%</th><th colspan="2">51%</th><th colspan="2">15%</th><th colspan="2">20%</th><th colspan="2">37%</th><th colspan="2">9%</th><th colspan="2">14%</th><th colspan="2">25%</th><th colspan="2">29%</th><th colspan="2">28%</th><th colspan="2">21%</th><th colspan="2">84%</th><th colspan="2">9%</th><th colspan="2">5%</th><th colspan="2">3%</th></tr><tr><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></th><th rowspan="3"></than td=""><tr></tr><tr></tr><tr></tr></table>
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE10 (QE23): SHOWCARD And how often do you personally use the internet nowadays either at home or elsewhere? (SINGLE CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTHWEST</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>233 221 216 208 204 213 202 193 193 209 2267 833 1771 1322 1514 1586</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2128</td>
<td>208 209 207 195 189 202 188 179 193 1765 389 1237 920 1056 1097</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>319 321 200 161 197 221 188 89 259 2014 317 1488 837 1275 1057</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<table border="1">
<thead><tr><th>Every day</th><th>75%</th><th>68%</th><th>84%</th><th>87%</th><th>76%</th><th>77%</th><th>88%</th><th>63%</th><th>83%</th><th>72%</th><th>78%</th><th>86%</th><th>83%</th><th>m</th><th>n p q r s t u v w x y z</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</th><th>o</than< td=""><tr><thead><tr><tbody><tr><td rowspan="4">Several times a week</tbody><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody><tr><tbody/><tbody/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/></table/>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE10 (QE23): SHOWCARD And how often do you personally use the internet nowadays either at home or elsewhere? (SINGLE CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>233<br>221<br>216<br>208<br>204<br>213<br>202<br>193<br>209<br>2267<br>833<br>1771<br>1322<br>1514<br>1586</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <table cellspacing="0" cellpadding="0"><tbody class="table_data"><tr class="header_bottom_margin"><th colspan="2"></th></tr>
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<tr class="header_bottom_margin"><th colspan="2"></th>
<tr class="header_bottom_margin"><th colspan="2"></th>
<tr class="header_bottom_margin"><table cellspacing='0' cellpadding='0'><tbody id='__annotation__rowinterval_0_columninterval_0'><tr id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0' style='display: table-row;' align='center'><table cellspacing='0' cellpadding='0' border='0' style='display: table-cell; vertical-align: top;'><tbody id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_0'><tr id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_0_row' style='display: table-row;' align='center'><table cellspacing='0' cellpadding='0' border='0' style='display: table-cell; vertical-align: top;'><tbody id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_0_row_cell' style='display: table-row;' align='center'><tr id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_0_row_cell' style='display: table-row;' align='center'><table cellspacing='0' cellpadding='0' border='0' style='display: table-cell; vertical-align: top;'><tbody id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_0_row_cell_cell' style='display: table-row;' align='center'><tr id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_0_row_cell_cell' style='display: table-row;' align='center'><table cellspacing='0' cellpadding='0' border='0' style='display: table-cell; vertical-align: top;'><tbody id='__annotation__rowinterval_0_columninterval_0_rowinterval_0_columninterval_0_cellinterval_
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE11 (QE40). SHOWCARD Which is the most important device you use to connect to the internet, at home or elsewhere? (SINGLE CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>LAND</th>
<th>NATION</th>
</tr>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>E17.9K E29.9K E30K+</td>
<td>C1 C2 DE</td>
<td>DE</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1471</td>
<td>8 b c 5 6</td>
<td>595 577 1088 930</td>
<td>383 315 418 601</td>
<td>701 940 643 723</td>
<td>189 405 401 356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 323 385 765</td>
<td>254 219 305 454</td>
<td>541 677 448 479</td>
<td>1637 257 247 259</td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>1134 51% 54% 66% 65% 21% 28% 2% 9% 4% 2% 8% 4% 9%</td>
<td>215 218 335 575</td>
<td>672 653 498 507</td>
<td>1955 202 113 62</td>
</tr>
<tr>
<td>Smartphone</td>
<td>841<br>36%</td>
<td>386<br>34%</td>
<td>455<br>30%<br>38%</td>
<td>81<br>78<br>84<br>78</td>
<td>108<br>215<br>187<br>202</td>
<td>200<br>211<br><br><br></td>
</tr>
<tr>
<td>Laptop</td>
<td>682<br>29%</td>
<td>331<br>29%</td>
<td>83<br>68%<br>36%</td>
<td>237<br>58<br><br><br></td>
<td>54<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
</tr>
<tr>
<td>Tablet computer (e.g. iPad)</td>
<td>475<br>20%</td>
<td>267<br>18%</td>
<td>37<br>21%<br>70<br></td>
<td>204<br></td>
<td></td></tr>
<table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">TV set</th></tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align: left;">%
% <table cellspacing="0" style="width: auto; border-collapse: collapse;">
<thead style="text-align: center; font-weight: bold;">
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th></tr></thead>
<tbody style="font-size: small;">
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">%
% <table cellspacing=
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE11 (QE40). SHOWCARD Which is the most important device you use to connect to the internet, at home or elsewhere? [SINGLE CODE]
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1473 1629</td>
<td>595 577 1088</td>
<td>930 383 315</td>
<td>418 601 741</td>
<td>990 643 723 1898 405 401 356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 323 385 756</td>
<td>254 219 305</td>
<td>454 541 677 448 479 1637 257 247 259</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>1134</td>
<td>354 456 865</td>
<td>657 215 218</td>
<td>335 575 672 653 498 507 1955 202 113 62</td>
</tr>
<tr>
<td></td>
<td>49%</td>
<td>51%</td>
<td>15% 20%</td>
<td>27% 28%</td>
<td>9% 9%</td>
<td>14% 25%</td>
<td>29% 28%</td>
<td>21% 22%</td>
<td>84% 9%</td>
<td>9% 9%</td><td>3%</td></tr>
<tr>
<td>Games console</td>
<td>4 % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr>
<tr>
<td>Smart watch (e.g. Apple Watch, Pebble, Samsung, Sony)</table>
<table>
<tr>
<th colspan="2">Other portable/handheld device<br>e.g. portable games console (Picol<br>Touch)</th>
<th>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>% </th>
<th colspan="2">Other device</th>
<th colspan="2">None</th>
<th colspan="2">Don't know</th>
<th colspan="2">Columns Tested: a-b.c.d.e.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2" style=""></table><table>
<thead><tr>
<th>Total</th>
<h>GENDER</h>
<h>AGE GROUP</h>
<h>HOUSEHOLD INCOME</h>
<h>SOCIAL GROUP</h>
<h>NATION</h>
</thead>
<tbody>
<tr>
<h>Significance Level: 95%</h>
</tr>
<tr>
<h>Unweighted total</h>
</tr>
<tr>
<h>Effective Weighted Sample</h>
</tr>
<tr>
<h>Total</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h>
</tr>
<tr>
<h>%</h><table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table><br/></table}




























































&#x
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE11 (QE40). SHOWCARD Which is the most important device you use to connect to the internet, at home or elsewhere? (SINGLE CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL URBAN</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>233</td>
<td>221</td>
<td>216</td>
<td>208</td>
<td>204</td>
<td>213</td>
<td>202</td>
<td>193</td>
<td>193</td>
<td>209</td>
<td>2267</td>
<td>833</td>
<td>1771</td>
<td>1322</td>
<td>1514</td>
<td>1586</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126</td>
<td>208</td>
<td>209</td>
<td>207</td>
<td>195</td>
<td>189</td>
<td>202</td>
<td>188</td>
<td>179</td>
<td>193</td>
<td>1765</td>
<td>389</td>
<td>1237</td>
<td>920</td>
<td>1056</td><td>1097</td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>321</td>
<td>321</td>
<td>200</td>
<td>161</td>
<td>197</td>
<td>221</td>
<td>188</td>
<td>89</td>
<td>259</td><td>2014</td><td>317</td><td>1488</td><td>837</td><td>1275</td><td>1057</td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr>
<tr style="background-color: #f0f0f0;">
<td rowspan="4" style="vertical-align: top;">Smartphone<br>Laptop<br>bodleph<br>Tablet computer (e.g. iPad)<table style="width: 50%; display: inline-block; vertical-align: top;">
<thead style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody style="text-align: center;">
<tr style="background-color: #f0f0f0;">
<th rowspan="4" style="vertical-align: top;">Total (n = 44)</th>
<th rowspan="4" style="vertical-align: top;">a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE11 (QE40). SHOWCARD Which is the most important device you use to connect to the internet, at home or elsewhere? (SINGLE CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>n o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>233 221 216</td>
<td>208 204 213</td>
<td>202 193 209</td>
<td>2267 833 1771</td>
<td>1322 1514 1586</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2128</td>
<td>208 209 207</td>
<td>195 189 202</td>
<td>188 179 193</td>
<td>1765 389 1237</td>
<td>920 1056 1097</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>319 321 200</td>
<td>161 197 221</td>
<td>188 89 259</td>
<td>2014 317 1488</td>
<td>837 1275 1057</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n<br>\n\t
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\ndd<dt>Tv set</dt>&ndd<dt>Total</dt>&ndd<dt>5%</dt>&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd<dt>-&ndd<dt>%&ndd</table>
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\end{document}
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE)
Base : Those with access to the internet at home
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.9K E17.9K E29.9K</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056 1453</td>
<td>1803 479 556 1071</td>
<td>350 344 316 419</td>
<td>606 737 980 644</td>
<td>682 187 396 388</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100 1007</td>
<td>1094 316 371 745</td>
<td>244 217 305 456</td>
<td>538 672 459 458</td>
<td>1821 252 245 236</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2306 1125</td>
<td>1181 337 438 855</td>
<td>676 207 216 336</td>
<td>578 671 646 500</td>
<td>487 1937 197 111</td>
<td></td>
</tr>
<tr>
<td>Ordinary phone line - dialup access</td>
<td>26 1%<br>1%<br>1%<br>1%</td>
<td>13 *<br>*<br>*<br>*<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%</td>
<td>2<br>9<br>3<br>7<br>26<br>- <img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img><img><img/></img></td>
<td></td>
</tr>
<tr>
<td>Fixed Broadband ADSL through a phone line or cable service - perhaps using a Wi-Fi router. This would include superfast broadband services.</td>
<td>2107<br>91%</td>
<td>1078<br>91%</td>
<td>300<br>89% ctl<br>< ></td>
<td>804<br>< ><table border="0"><tbody><tr><td style="text-align: right;">84% </td></tr></tbody></table>< ><table border="0"><tbody><tr><td style="text-align: right;">94%</td></tr></tbody></table>< ><table border="0"><tbody><tr><td style="text-align: right;">85%</td></tr></tbody></table>< ><table border="0"><tbody><tr><td style="text-align: right;">90%</td></tr></tbody></table>< ><table border="0"><tbody><tr><td style="text-align: right;">96%</td></tr></tbody></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n<br>n< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">imm< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">gfi< ></table>< ><table border="0"><tbody><tr><td style="text-align: right;">ghi< ></table>< ><table border="0"><tbody rowspan=""><tr colspan=""><th colspan="">Total Broadband from a mobile network - connecting via a USB stick or dongle, or built-in network connectivity on a laptop or netbook or tablet computer with a SIM card.</th></tr></tbody></table>
<table id='tabel'>
<tr id='header_row'>
<th colspan='2' id='header_column_1'>Columns Tested:</th>
<th colspan='2' id='header_column_2'>a.b - c.d.e.f.- g.h.i.j- k.l.m.n- o.p.q.r.</th>
<th colspan='2' id='header_column_3'>53%</th>
<th colspan='2' id='header_column_4'>47%</th>
<th colspan='2' id='header_column_5'>47%</th>
<th colspan='2' id='header_column_6'>47%</th>
<th colspan='2' id='header_column_7'>47%</th>
<th colspan='2' id='header_column_8'>47%</th>
<th colspan='2' id='header_column_9'>47%</th>
<th colspan='2' id='header_column_10'>47%</th>
<th colspan='2' id='header_column_11'>47%</th>
<th colspan='2' id='header_column_12'>47%</th>
<th colspan='2' id='header_column_13'>47%</th>
<th colspan='2' id='header_column_14'>47%</th>
<th colspan='2' id='header_column_15'>47%</th>
<th colspan='2' id='header_column_16'>47%</th>
<th colspan='2' id='header_column_17'>47%</th>
<th colspan='2' id='header_column_18'>47%</th>
<th colspan='2' id='header_column_19'>47%</th>
<th colspan='2' id='header_column_20'>47%</th>
<th colspan='2' id='header_column_21'>47%</th>
<th colspan='2' id='header_column_22'>47%</th>
<th colspan='2' id='header_column_23'>47%</th>
<th colspan='2' id='header_column_24'>47%</th>
<th colspan='2' id='header_column_25'>47%</th>
<th colspan='2' id='header_column_26'>47%</th>
<th colspan='2' id='header_column_27'>47%</th>
<th colspan='2' id='header_column_28'>47%</th>
<th colspan='2' id='header_column_29'>47%</th>
<th colspan='2' id='header_column_30'>47%</th>
<th colspan='2' id='header_column_31'>47%</th>
<th colspan='2' id='header_column_32'>47%</th>
<th colspan='2' id='header_column_33'>47%</th>
<th colspan='2' id='header_column_34'>47%</th>
<th colspan='2' id='header_column_35'>47%</th>
<th colspan='2' id='header_column_36'>47%</th>
<th colspan='2' id='header_column_37'>47%</th>
<th colspan='2' id='header_column_38'>47%</th>
<table cellspacing= "none" cellpadding= "none" width= "width" height= "height">
<tr cellspacing= "none" cellpadding= "none" align= "align">
<th rowspan= "rowspan">GENDER</th>
<thead cellspacing= "none" cellpadding= "none" align= "align">
<tr cellspacing= "none" cellpadding= "none" align= "align">
<th rowspan= "rowspan">AGE GROUP</th>
<thead cellspacing= "none" cellpadding= "none" align= "align">
<tr cellspacing= "none" cellpadding= "none" align= "align">
<thead cellspacing= "none" cellpadding= "none" align= "align">
<thead cellspacing= "none" cellpadding= "none" align= "align">
<thead cellspacing= "none" cellpadding= "none" align= "align">
<thead cellspacing= "none" cellpadding= "none" align= "align">
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE)
Base : Those with access to the internet at home
<table>
<thead>
<tr>
<td></td>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.9K</td>
<td>£11.9K-£17.9K</td>
<td>£17.9K-£29.9K</td>
<td>£29.9K+<br>E30K+</td>
<td>AB<br>C1<br>C2<br>C3<br>C4<br>C5<br>C6<br>C7<br>C8<br>C9<br>C10<br>C11<br>C12<br>C13<br>C14<br>C15<br>C16<br>C17<br>C18<br>C19<br>C20<br>C21<br>C22<br>C23<br>C24<br>C25<br>C26<br>C27<br>C28<br>C29<br>C30<br>C31<br>C32<br>C33<br>C34<br>C35<br>C36<br>C37<br>C38<br>C39<br>C40<br>C41<br>C42<br>C43<br>C44<br>C45<br>C46<br>C47<br>C48<br>C49<br>C50</td>
<td>ENG LAND SCOTLAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056</td>
<td>1453</td>
<td>1603</td>
<td>479</td>
<td>556</td>
<td>1071</td>
<td>950</td>
<td>344</td>
<td>316</td>
<td>418</td>
<td>696</td>
<td>737</table><table><tbody><tr><th style="text-align:right;">C1</th><th style="text-align:right;">C2</th><th style="text-align:right;">C3</th><th style="text-align:right;">C4</th><th style="text-align:right;">C5</th><th style="text-align:right;">C6</th><th style="text-align:right;">C7</th><th style="text-align:right;">C8</th><th style="text-align:right;">C9</th><th style="text-align:right;">C10</th><th style="text-align:right;">C11</th><th style="text-align:right;">C12</th><th style="text-align:right;">C13</th><th style="text-align:right;">C14</th><th style="text-align:right;">C15</th><th style="text-align:right;">C16</th><th style="text-align:right;">C17</th><th style="text-align:right;">C18</th><th style="text-align:right;">C19</th><th style="text-align:right;">C20</th><th style="text-align:right;">C21</th><th style="text-align:right;">C22</th><th style="text-align:right;">C23</th><th style="text-align:right;">C24</th><th style="text-align:right;">C25</th><th style="text-align:right;">C26</th><th style="text-align:right;">C27</th><th style="text-align:right;">C28</th><th style="text-align:right;">C29</th><th style="text-align:right;">C30</th><th style="text-align:right;">C31</th><th style="text-align:right;">C32</th><th style="text-align:right;">C33</th><th style="text-align:right;">C34</th><th style="text-align:right;">C35</th><th style="text-align:right;">C36</th><th style="text-align:right;">C37</th><th style="text-align:right;">C38</th><th style="text-align:right;">C39</th><th style="text-align:right;">C40</th><th style="text-align:right;">C41</table>
Effective Weighted Sample
Total
Access to the internet using a mobile phone or smartphone through a Wi-Fi network or your phone's mobile network
Accessing the internet on a device such as a laptop or tablet using your mobile phone's internet connection - known as tethering
Columns Tested: a:b - c:d:e:f - g:h:i:j - k:l:m:n - o:p:q:r
<table border=1 cellspacing=0 cellpadding=0>
<tr>
<td rowspan='2' align='left'>Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan='2' align='left'>Total
<tr>
<td rowspan('
OFDCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? [MULTI CODE]
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E11.5K-E17.5K</th>
<th>E17.5K-E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>s</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
<td>r</td>
<td>t</td>
<td>s</td>
<td>v</td>
<td>w</td><td>x</td><td>y</td><td>z</td><td>a</td><td>b</td><td>c</td><td>d</td><td>e</td><td>f</td><td>g</td><td>h</td><td>i</td><td>j<br/>k<br/>l<br/>m<br/>n<br/>o<br/>p<br/>q<br/>r<br/>s<br/>t<br/>u<br/>v<br/>w<br/>x<br/>y<br/>z<br/></td><td>1<br/>2<br/>3<br/>4<br/>5<br/>6<br/>7<br/>8<br/>9<br/>10<br/>11<br/>12<br/>13<br/>14<br/>15<br/>16<br/>17<br/>18<br/>19<br/>20<br/>21<br/>22<br/>23<br/>24<br/>25<br/>26<br/>27<br/>28<br/>29<br/>30<br/>31<br/>32<br/>33<br/>34<br/>35<br/>36<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>
<td colspan="6" style="text-align:center;">Accessing the internet through a Mi- Fi device or a mobile router which taps into a 3G or 4G mobile network and can be shared between devices within range of the signal:</table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<th rowspan="2">TOTAL BROADBAND (INC. USING MOBILE PHONE)</th>
<th rowspan="2">TOTAL BROADBAND (EXC. USING MOBILE PHONE)</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">Total Broadband (Inc. Using Mobile Phone)</th>
<th style="text-align:left;">Total Broadband (Excluding Mobile Phone)</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">2283 99%</th>
<th style="text-align:left;">2157 94%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">Accessing the internet through a Mi- Fi device or a mobile router which taps into a 3G or 4G mobile network and can be shared between devices within range of the signal:</th>
<th style="text-align:left;">Accessing the internet through a Mi- Fi device or a mobile router which taps into a 3G or 4G mobile network and can be shared between devices within range of the signal:</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">49% 99%</th>
<th style="text-align:left;">49% 99%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">Total Broadband (Inc. Using Mobile Phone)</th>
<th style="text-align:left;">Total Broadband (Excluding Mobile Phone)</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">68 3%</th>
<th style="text-align:left;">68 3%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">Accessing the internet through a Mi- Fi device or a mobile router which taps into a 3G or 4G mobile network and can be shared between devices within range of the signal:</th>
<th style="text-align:left;">Accessing the internet through a Mi- Fi device or a mobile router which taps into a 3G or 4G mobile network and can be shared between devices within range of the signal:</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">49% 99%</th>
<th style="text-align:left;">49% 99%</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th style="text-align:left;">Columns Tested: a-b c-e.f.-g.h.i-j k-l.m-n-o.p.q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-w-x-y-z-a-b-c-d-e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t<u
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>UNDER E11.5K E17.5K E17.5K E29.5K</td>
<td>E17.5K C1 C2 DE</td>
<td>ENG SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>b c d e f g h i j k l m n o p q r</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056 1453</td>
<td>479 556 1071</td>
<td>950 344 316 418 606</td>
<td>737 980 644 682</td>
<td>187 396 386 358</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100 1007</td>
<td>1094 316 371 745</td>
<td>679 244 217 305</td>
<td>456 538 672 459</td>
<td>1821 252 245 236</td>
</tr>
<tr>
<td>Total</td>
<td>2306 1125</td>
<td>1181 337 438 855</td>
<td>676 207 216 336</td>
<td>578 671 646 500</td>
<td>1937 197 111 61</td>
</tr>
<tr>
<td></td>
<td>49% 51%</td>
<td>15% 19% 37% 29%</td>
<td>9% 9% 15% 25%</td>
<td>29% 28% 22% 21%</td>
<td>84% 9% 5% 3%</td>
</tr>
<tr>
<td><strong>SMARTPHONE ACCESS ONLY,</strong><br><strong>NOT FIXED OR NARROWBAND<br><strong>OR MOBILE BROADBAND</strong></strong></td>
<td>108 49</td>
<td>59 18</td>
<td>46 29</td>
<td>14 26</td>
<td>18 13</td>
<td>33 44</td>
<td>92 9</td>
<td>5 2</td>
</tr>
<tr>
<td></td>
<td>5% 4%</td>
<td>5% 5%</td>
<td>11% 3%</td>
<td>2% 9%</td>
<td>5% 2%</td>
<td>5% 9%</td>
<td>5% 5%</td>
<td>4% 3%</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>a b c d ef gh i j k l m n o p q r</td>
<td></td>
<td></td>
<td>k kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kmn kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kg kgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkgkkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmkmmmkkmkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk kk mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi mi min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min min minminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminminmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmindmind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind mind minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-minded-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind-mind m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnmnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.nn.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.n.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Columns Tested: a.b-c.d.e.f-g.h.i-j-k.l.m-n-o.p.q.r
Prepared by Saville Rossiter Base: <page_number>01727/899/399</page_number>
Table
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f0f0f0;">
<th colspan="13">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th rowspan="2" style="text-align:right;">Table<br>Nation<br>No.</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</th><th rowspan="2" style="text-align:right;">N=...</eth
<th colspan='3' align='center'>GENDER<br>Male<br>Female<br>Total<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<b...
<th colspan='3' align='center'>AGE GROUP<br>Under<br>E11.5K<br>E17.5K<br>E17.5K<br>E29.5K<br>C<br>D<br>E<br>F<br>G<br>H<br>I<br>J<br>K<br>L<br>M<br>N<br>O<br>P<br>Q<br>R<br>T<br>X<br>Z<br>A<br>B<br>C<br>D<br>E<br>F<br>G<br>H<br>I<br>J<br>K<br>L<br>M<br>N<br>O<br>P<br>Q<br>R<br>T<br>X<br>Z...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056</td>
<td>224</td>
<td>228</td>
<td>220</td>
<td>204</td>
<td>188</td>
<td>214</td>
<td>203</td>
<td>190</td>
<td>208</td>
<td>2232</td>
<td>824</td>
<td>1742</td><td>1306</td><td>1503</td><td>1553</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Effective Weighted Sample<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<img>A table showing data on OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</img>> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > ></table>
<table cellspacing="0" cellpadding="0">
<tr style="background-color: #e6e6e6;">
<th colspan="3">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLOWHIGHMEDIUMLO
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Table 66
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<th></th>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MID</th>
<th>EAST WEST</th>
<th>EAST OF ENG</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
</tr>
</thead>
<tbody>
<tr>
<td>Unweighted total</td>
<td>3056</td>
<td>224<br>78<br>23%<br>36%<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br>b<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> </td><td>228</td><td>220</td><td>204</td><td>188</td><td>214</td><td>203</td><td>190</td><td>208</td><td>2323</td><td>824</td><td>1742</td><td>1306</td><td>1503</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </abbr></table>
Effective Weighted Sample
Total
Access to the internet using a mobile phone or smartphone through a Wi-Fi network or your phone's mobile network
Accessing the internet on a device such as a laptop or tablet using your mobile phone's internet connection - known as tethering
<table border="1">
<thead>
<tr>
<th></th>
<th>Total (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th>
<th>% (n)</th><table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead>
<tr>
<td></table>
<table border="1">
<thead
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? / MULTI CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
<tr>
<td>Unweighted total<br>3056<br>224<br>228<br>220<br>204<br>188<br>214<br>203<br>190<br>177<br>191<br>1742<br>388<br>1219<br>911<br>1053<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample<br>2100<br>200<br>214<br>211<br>192<br>176<br>203<br>190<br>177<br>191<br>1742<br>388<br>1219<br>911<br>1053<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total<br>2306<br>307<br>328<br>204<br>158<br>183<br>223<br>190<br>88<br>257<br>1991<br>314<br>1465<br>833<br>864<br>36%<table>
<tr style="border-bottom: 1px solid black;">
<th>TOTAL BROADBAND (INC. USING MOBILE PHONE)</th>
<th style="text-align: right;">Total Broadband (Inc. Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align: right;">Total Broadband (Excluding Using Mobile Phone)</th>
<th style="text-align:right;padding-left:-5px;padding-right:-5px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-top:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5px;padding-right:-5px;border-left:solid black 1px;padding-top:-5px;padding-bottom:-5px;border-bottom:solid black 1px;padding-right:-5px;padding-left:-5px;border-right:solid black 1px;padding-left:-5 px;padding-right:-5 px;border-left:solid black 1 px;padding-top:-5 px;padding-bottom:-5 px;border-bottom:solid black 1 px;padding-right:-5 px;padding-left:-5 px;border-right:solid black 1 px;padding-left:-5 px;padding-right:-5 px:border-left:solid black 1 px;padding-top :-5 px;padding-bottom :-5 px:border-bottom:solid black 1 px;padding-right :-5 px;padding-left :-5 px:border-right:solid black 1 px;padding-left :-5 px;padding-right :-5 px:border-left:solid black 1 px;padding-top :-5 px;padding-bottom :-5 px:border-bottom:solid black 1 px;padding-right :-5 px;padding-left :-5 px:border-right:solid black 1 px padding left : - 6 px ; padding top : -6 px ; padding bottom : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 px ; border bottom : solid black 6 px ; padding left : -6 px ; padding top : -6 pn; border bottom : solid black 6 p; padding left : -6 p; border bottom : solid bl; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border bottom s; border b
<watermark>Saville Rissler Base-0727899399 Prepared by Saville Rissler Base-0727899399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE12 (QES). SHOWCARD Which of these methods does your household use to connect to the internet at home? (MULTI CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056</td>
<td>224 228 220 204 188 214 203 190 177 191 1742 388 1219 911 1053</td>
<td>190 177 191 1742 388 1219 911 1053</td>
<td>208 2323 824 1742 388 1219 911 1053</td>
<td>88% 4% 11% 86% 14% 64% 36% 55%</td>
<td>88% 4% 11% 86% 14% 64% 36% 55%</td>
<td>83%<br>1695<br>83%</td>
<td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</td><td>83%</TD
<tr>
<td rowspan="2">Effective Weighted Sample Total</table>
MOBILE BROADBAND ONLY, NOT FIXED OR NARROWBAND
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
<tr style="background-color: #f0f0f0;">
<td>Total</table>
SMARTPHONE ACCESS ONLY, NOT FIXED OR NARROWBAND OR MOBILE BROADBAND
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2"></table>
ONLY MOBILE ACCESS, NOT FIXED OR NARROWBAND
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<table border="1">
<thead>
<tr style="background-color: #eaeaea;">Columns Tested : a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE13 (QE48). Do you pay line rental as part of, or in addition to, your fixed broadband charges?
Base: Those with fixed broadband at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.5K E17.5K E29.5K</td>
<td>E17.5K E29.5K</td>
<td>AB C1 C2 DE ENGLAND SCOTLAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2774 1323</td>
<td>1451 410</td>
<td>474 999 891</td>
<td>282 271 385 590</td>
<td>712 899 589 572</td>
<td>1701 357 363 353</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1919 921</td>
<td>998 276</td>
<td>317 696 638</td>
<td>190 183 276 444</td>
<td>522 617 412 387</td>
<td>1477 231 227 269</td>
</tr>
<tr>
<td>Total</td>
<td>2107 1029</td>
<td>1078 300</td>
<td>366 804 637</td>
<td>166 183 303 557</td>
<td>643 587 462 414</td>
<td>1766 183 102 57</td>
</tr>
<tr>
<td></td><td></td><td>49% 51%</td><td>14% 17%</td><td>38% 30%</td><td>8% 9%</td><td>26% 28%</td><td>84% 9%</td><td>5% 3%</td>
</tr>
<tr>
<td>Yes</td><td>1743<br>862<br>83%</td><td>881<br>205<br>82%</td><td>690<br>294<br>68%</td><td>555<br>126<br>80%</td><td>270<br>486<br>87%</td><td>535<br>394<br>83%</td><td>1455<br>160<br>82%</td><td>79<br>60<br>87%</td>
</tr>
<tr>
<td>No</td><td>49%<br>84%</td><td>51%<br>12%</td><td>17%<br>40%</td><td>32%<br>7%</td><td>9%<br>15%</td><td>28%<br>31%</td><td>83%<br>9%</td><td>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%<br>%</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Don't know</td><td colspan="2">225<br>111<br>-<|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>-|>|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|
<td>-&<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<</table>
Columns Tested: a,b-c,d,e-f-g,h-i-j-k,l,m-n-o,p-q,r
Prepared by Saville Rossiter Base : <page_number>DITPZTQVJWUZLXNQYDQGZBQVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWVWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW
<table id='table_0'>
<thead id='table_0__header'>
<tr id='table_0__header_row'>
<th colspan='1' rowspan='1'></th><th colspan='6' id='table_0__header_column_0'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th><th colspan='3' id='table_0__header_column_6'>Table 67</th></tr></thead>
<tbody id='table_0__body_row'>
<tr id='table_0__body_row_0' class='header_bottom_margin'>
<th colspan='6' id='table_0__body_column_0'>All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_1' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>QE13 (QE48). Do you pay line rental as part of, or in addition to, your fixed broadband charges?</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_2' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>Base: Those with fixed broadband at home</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_3' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>Significance Level: 95%</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_4' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>Total MALE FEMALE</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_5' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>AGE GROUP</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_6' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>HOUSEHOLD INCOME UNDER E11.5K E17.5K E29.5K E30K+</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_7' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>SOCIAL GROUP AB C1 C2 DE ENGLAND SCOTLAND WALES NI</th><th colspan='3' id='table_0__body_column_6'>NATION</th></tr>
<tr id='table_0__body_row_8' class='annotation_item'>
<th colspan='6' id='table_0__body_column_0'>SIGNIFICANCE LEVEL: SIGNIFICANCE LEVEL: SIGNIFICANCE LEVEL: SIGNIFICANCE LEVEL:</th><th colspan='3' id='table_0__body_column_6'>NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NATION NION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION ION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION IION iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion iion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion ion
<img>A table showing data on OFCOM Nations & Regions Tracker - Main Set - H1 2016. The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.</img>
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age groups, social groups, and nations who pay line rental as part of their fixed broadband charges.
The table shows data on the number of people in different age
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such as 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R'. The y-axis represents percentages ranging from approximately -4% to +4%. Each bar indicates a specific region's percentage value for that category.
For example:
- Category A: Region X has a value around -3%, Region Y has a value around -2%, Region Z has a value around -1%, Region W has a value around -2%, Region V has a value around -3%, Region U has a value around -4%, Region T has a value around -4%, Region S has a value around -4%, Region Q has a value around -4%, Region P has a value around -4%, Region R has a value around -4%.
Category B: Region X has a value around -3%, Region Y has a value around -2%, Region Z has a value around -1%, Region W has a value around -2%, Region V has a value around -3%, Region U has a value around -4%, Region T has a value around -4%, Region S has a value around -4%, Region Q has a value around -4%, Region P has a value around -4%, Region R has a value around -4%.
Category C: Region X has a value around -3%, Region Y has a value around -2%, Region Z has a value around -1%, Region W has a value around -2%, Region V has a value around -3%, Region U has a value around -4%, Region T has a value around -4%, Region S has a value around -4%, Region Q has a value around -4%, Region P has a value around -4%, Region R has a value around -4%.
Category D: Region X has a value around -3%, Region Y has a value around -2%, Region Z has a value around -1%, Region W has a value around -2%, Region V has a value around -3%, Region U has a value around -4%, Region T has a value around -4%, Region S has a value around -4%, Region Q has a value around -4%, Region P has a value around -4%, Region R has a value around -4%.
Category E: Region X has a value around -3%, Region Y has a value around -2%, Region Z has a value around -1%, Region W has a value around -2%, Region V has a value around -3%, Region U has a value around -4%, Region T has a value around -4%, Region S has a
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such as 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R'. The y-axis represents percentages ranging from approximately -4% to +4%. Each bar indicates a specific region's percentage value for that category.
For example:
- Category A: Region X has a value around -3%, Region Y has a value around -2%, Region Z has a value around -1%, Region W has a value around -2%, Region V has a value around -3%, Region U has a value around -4%, Region T has a
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such as 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R'. The y-axis represents percentages ranging from approximately
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such as
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
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<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
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<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each category is distributed across regions. The x-axis represents categories such
<img>A bar chart showing the percentage distribution across regions for each category.</img>
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<img>A bar chart showing the percentage distribution across regions for each category.</img>
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<img>A bar chart showing the percentage distribution across regions for each category.</img>
This bar chart illustrates how each
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE13 (QE48). Do you pay line rental as part of, or in addition to, your fixed broadband charges?
Base: Those with fixed broadband at home
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>EASTERN RURAL</th>
<th>WESTERN RURAL</th>
<th>URBAN RURAL</th>
<th>RURAL RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td>o</td><td>n</td><td>m</td><td>i</td><td>k</td><td>j</td><td>l</td><td>o</td><td>p</td><td>q</td><td>r</td><td>s</td><td>t</td><td>v</td><td>w</td><td>x</td><td>y</td><td>z</td><td>a</td><td>b</td><td>c</td><td>d</td><td>e</td><td>f</td><td>g</td><td>h</td><td>i</td><td>j</td><td>k</td><td>l</td><td>m</td><td>n</td><td>o</td><td>p</td><td>q</td><td>r</td><td>s</td><td>t</td><td>v</td><td>w</td><td>x</td><td>y</td><td>z</ td></tr>
<tr>
<td>Unweighted total<br>Total<br>Effective Weighted Sample<br>Total<br>Yes<br>No<br>Don't know<br>Don't know<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Cumulative Total<br>Ccumulatve Totals...<br>Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
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<td rowspan="2" style="text-align:center;">Total 2774 1919 2107 1743 225 11% 12% 12% 13% 22% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8%</table>
<table>
<tr>
<td rowspan="2" style="text-align:center;">LONDON a b c d e f g h i j k l m n o
<table>
<tr>
<td rowspan="2" style="text-align:center;">Total 2774 1919 2107 1743
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<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
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<td rowspan="2" style="text-align:center;">Total
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<td rowspan="2" style="text-align:center;">Total
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<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
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<td rowspan="2" style="text-align:center;">Total
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<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
<table>
<tr>
<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
<table>
<tr>
<td rowspan="2" style="text-align:center;">Total
<table>
<tr>
<td rowspan="2" style="text-align:center;">Total
<table>
<tr>
<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
<table>
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<td rowspan="2" style="text-align:center;">Total
<table>
<tr>
<td rowspan="2" style="text-align:center;">Total
\<table">
\<tr">
<td colspan='3' align='center'>OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4TH JANUARY TO 29TH FEBRUARY 2016.</table">
<p>Table 67
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE13 (QE48). Do you pay line rental as part of, or in addition to, your fixed broadband charges?
Base: Those with fixed broadband at home
| Significance Level: | Unweighted total | Effective Weighted Sample | Yes | No | Don't know | Don't know | Cumulative total |
|---|---|---|---|---|---|---|---|
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o |
Prepared by Saville Rossiter Base : <span id='footer'>01727 899 399 </span> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE14 (QE22B). You mentioned that your household has a mobile broadband connection (connecting via a USB stick or dongle, or built-in 3G connectivity in a laptop or another device). Do you personally access the internet in this way, using mobile broadband?
<table>
<thead>
<tr>
<td></td>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER £11.5K</td>
<td>£11.5K - £23.9K</td>
<td>£23.9K+ £30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-></td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
<td><-</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>142</td>
<td>75</td>
<td>67</td>
<td>37</td>
<td>33</td>
<td>44</td>
<td>28</td>
<td>26</td>
<td>12</td>
<td>18</td>
<td>34</td>
<td>31</td>
<td>49</td>
<td>34</td>
<td>28</td>
<td>92</td>
<td>17</td>
<td>20</td><td>13</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>96</td>
<td>51</td>
<td>45</td>
<td>23</td>
<td>23</td>
<td>32</td>
<td>21</td>
<td>19</td>
<td>8</td>
<td>14</td>
<td>26</td>
<td>25</td>
<td>33</td>
<td>22</td>
<td>20</td>
<td>78</td>
<td>12</td>
<td>10<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
Total <watermark>Total: 118 Significance Level: 95% Unweighted total: 142 Effective Weighted Sample: 96
Yes No Don't know
Columns Tested: a.b.-c.e.f.-g.h.i.j-k.l.m.n-o.p.q.r
Prepared by Saville Rossiter Base : 01727 899 599 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE14 (QE22B). You mentioned that your household has a mobile broadband connection (connecting via a USB stick or dongle, or built-in 3G connectivity in a laptop or another device). Do you personally access the internet in this way, using mobile broadband?
Base : Those in a household with mobile broadband
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENG</th>
<th>YORKS& HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>MEDIUM LOW</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>142</td>
<td>8<br>7<br>14<br>8<br>7<br>6<br>10<br>7<br>25<br>103<br>39<br>88<br>53<br>73<br>69</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>96</td>
<td>8<br>7<br>13<br>8<br>6<br>6<br>9<br>7<br>22<br>81<br>17<br>65<br>34<br>48<br>51</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr>
<td>Total</td>
<td>118</td>
<td>14<br>12<br>14<br>7<br>7<br>7<br>3<br>32<br>104<br>14<br>87<br>30<br>68<br>50</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td >
<tr style="border-top: 1px solid black;">
<td colspan="16">
Yes
</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="16">
78%
</table>
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Yes</table>
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">No
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">No
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border="0" style="width: 100%; height: auto; display: table;">
<tbody style="display: table-row;">
<tr style="display: table-row;">
<td style="display: table-cell;">Don't know
<table cellspacing="0" border "style="" width="" "="" height="" "="" display="" "="" cellspacing="" "="" border="">
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background-color:#cccccc;
}
.very-very-very-very-very-very-very-very-high {
background-color:#cccccc;
}
.very-very-very-very-very-very-very-very-very-high {
background-color:#cccccc;
}
.very-very-very-very-very-very-very-very-very-very-high {
background-color:#cccccc;
}
.very-very-very-very-very-very-very-very-very-very-very-high {
background-color:#cccccc;
}
.very-very-very-very-very-very-very-very-very-very-very-very-high {
background-color:#cccccc;
}
.very-very-very-very-very-very-very-very-very-very-very-very- very-high {
background-color:#cccccc;
}
.medium-low-low {
background-color:#cccccc;
}
.low-low {
background-color:#cccccc;
}
.low-low-low {
background-color:#cccccc;
}
.low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low-low-low-low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low-low-low-low low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low-low-low low low {
background-color:#cccccc;
}
.low-low-low-low-low-low-low low low low {
background-color:#cccccc;
}
.low-low低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底底地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 地 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国 国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国国囯図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図図國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國國圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圖圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈圈團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團團圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍圍围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围围团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团团图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图图圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆圆园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园园園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園園圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓圓地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面地下面下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 下 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
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```
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE15 (QE38). What were the reasons you took up a mobile broadband service? (MULTI CODE) UNPROMPTED
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>UNDER £11.5K £17.5K £29.9K</td>
<td>AB C1 C2 DE</td>
<td>ENG SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>113 58</td>
<td>55 29 28 37</td>
<td>19 20 12 14</td>
<td>26 38 25 24</td>
<td>71 15 17 10</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>74 39</td>
<td>35 17 19 26</td>
<td>14 8 11 20</td>
<td>19 28 14 16</td>
<td>59 10 8 8</td>
</tr>
<tr>
<td>Total</td>
<td>92 48</td>
<td>44 16 23 37</td>
<td>15 9 10 13</td>
<td>29 30 28 16</td>
<td>80 6 4 1</td>
</tr>
<tr>
<td>To have access to broadband on the move</td>
<td>61 ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** </td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Because I don't want to pay for a landline</td>
<td>15 %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %** %**%**
</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Because it was cheaper than a fixed broadband contract</td>
<td>15 %*% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *% *%</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Because it is less of a commitment than a fixed broadband contract</td>
<td>7 %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ td>< td></ </tr>
As a back-up in case I have problems with my fixed broadband line <watermark>A b - c e f / - g h i j - k l m n - o p q r </watermark>
Columns Tested: a-b-c-e-f-g-h-i-j-k-l-m-n-o-p-q-r
<table id="table_0">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;">Table 69</th>
<th style="text-align:right;">NI</th>
<th style="text-align:right;">WALES</th>
<th style="text-align:right;">SCOTLAND</th>
<th style="text-align:right;">LAND</th>
<th style="text-align:right;">NATION</th>
<th style="text-align:right;">ENG LAND SCOTLAND WALES NI</th>
<th style="text-align:right;">NI WALES SCOTLAND LAND NATION ENG LAND SCOTLAND WALES NI</th>
<th style="text-align:right;">NI WALES SCOTLAND LAND NATION ENG LAND SCOTLAND WALES NI</th>
<th style="text-align:right;">NI WALES SCOTLAND LAND NATION ENG LAND SCOTLAND WALES NI</th>
<th style="text-align:right;">NI WALES SCOTLAND LAND NATION ENG LAND SCOTLAND WALES NI</th>
<th style="text-align:right;">NI WALES SCOTLAND LAND NATION ENG LAND SCOTLAND WALES NI</th>
<th style="text-align:right;">NI WALES SCOTLAND LAND NATION ENG LAND SCOTLAND WALES NI</th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="8" style="text-align:center;"></th>
<table id="table_0" class="table table-bordered">
<thead id="header_0">
<tr id="row_0">
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""><br/></th>
<th colspan="" rowspan="" style="">Total<=""><br/>Unweighted total<=""><br/>Effective Weighted Sample<=""><br/>Total<=""><br/>To have access to broadband on the move<=""><br/>Because I don't want to pay for a landline<=""><br/>Because it was cheaper than a fixed broadband contract<=""><br/>Because it is less of a commitment than a fixed broadband contract<=""></div>
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 69
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE15 (QE39). What were the reasons you took up a mobile broadband service? (MULTI CODE) UNPROMPTED Base: Those who use mobile broadband to access the internet
<table>
<thead>
<tr>
<td></td>
<td colspan="2">GENDER</td>
<td colspan="7">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E11.9K-</td>
<td>E17.9K-</td>
<td>E29.9K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>113</td>
<td>58</td>
<td>55</td>
<td>29</td>
<td>28</td>
<td>37</td>
<td>19</td>
<td>20</td>
<td>12</td>
<td>14</td>
<td>26</td>
<td>25</td>
<td>38</td>
<td>25</td>
<td>24</td>
<td>71</td>
<td>15</td>
<td>17</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><table cellspacing="0" cellpadding="0"><tbody style="text-align:center;"><tr style="text-align:center;"><th style="border:none;">Total<br/>Significance Level: 95%</th></tr></tbody></table> <table cellspacing="0" cellpadding="0"><tbody style="text-align:center;"><tr style="text-align:center;"><th style="border:none;">Unweighted total<br/>Significance Level: 95%</th></tr></tbody></table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table> </table>&nb...
</tbody>
```
<!-- Other -->
<!-- Don't know -->
<!-- Columns Tested: a,b - c,d,e,f - g,h,i,j - k,l,m,n - o,p,q,r -->
```
</tbody>
<!-- Unweighted total -->
<!-- Effective Weighted Sample -->
<!-- Total -->
<!-- For work/ my employer purchased it -->
<!-- Other -->
<!-- Don't know -->
</html>
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 69
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE15 (QE39): What were the reasons you took up a mobile broadband service? (MULTI CODE) UNPROMPTED
Base: Those who use mobile broadband to access the internet
<table>
<thead>
<tr>
<th></th>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th></th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTHWEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM/HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
<td>-p</td>
<td>-q</td>
<td>-r</td>
<td>-s</td>
<td>-t</td>
<td>-u</td>
<td>-v</td>
<td>-w</td><td>-x</td><td>-y</td><td>-z</td><td>-aa</td><td>-ab</td><td>-ac</td><td>-ad</td><td>-ae</td><td>-af</td><td>-ag</td><td>-ah</td><td>-ai</td><td>-aj<br>jb<br>jc<br>jd<br>je<br>jf<br>gk<br>gl<br>gm<br>gn<br>ho<br>hi<br>ij<br>ik<br>il<br>im<br>in<br>jo<br>jp<br>jq<br>jr<br>js<br>sj<br>tq<br>tv<br>wu<br>wv<br>wx<br>wy<br>wz<br>xz<br>yv<br>yz<br>za<br>zb<br>zc<br>zd<br>ze<br>zf<br>xw<br>yw<br>zw<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw<br>wz<br>xz<br>yw)<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>(<br>()(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(())(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)(%)("%)(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")(")("(")</table>
| | | | | | | | | | | | | | | | | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | Total | LONDON | -a | -b | -c | -d | -e | -f | -g | -h | -i | -j | -k | -l | -m | -n | -o | | Significance Level: 95% | Unweighted total | 113 | 7 | 7 | 9 | 5 | 4 | 5 | 6 | 6 | 22 | 82 | 31 | 72 | 41 | 55 | 58 | | Effective Weighted Sample | 74 | 7 | 7 | 9 | 5 | 4 | 5 | 6 | 6 | 20 | 65 | 12 | 52 | 25 | 34 | 43 | | Total | 92 | **12** **9** **4** **4** **5** & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & **3** **3** **27** **84** **8** **70** **21** **49** **43** | To have access to broadband on the move | | --- | | Because I don't want to pay for a landline | | Because it was cheaper than a fixed broadband contract | | Because it is less of a commitment than a fixed broadband contract | | As a back-up in case I have problems with my fixed broadband line |
Because I don't want to pay for a landline Because it was cheaper than a fixed broadband contract Because it is less of a commitment than a fixed broadband contract As a back-up in case I have problems with my fixed broadband line
Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Prepared by Saville Rossiter Base : 01727 899 399 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 69
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margin of error becomes too great. Data is tested at the 95% confidence level.
QE15 (QE39). What were the reasons you took up a mobile broadband service? (MULTI CODE) UNPROMPTED
Base: Those who use mobile broadband to access the internet
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>113</td>
<td>7</td>
<td>7</td>
<td>9</td>
<td>5</td>
<td>4</td>
<td>5</td>
<td>6</td>
<td>6</td>
<td>22</td>
<td>82</td>
<td>31</td>
<td>72</td>
<td>41</td>
<td>55</td>
<td>58</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>74</td>
<td>7</td>
<td>7</td>
<td>9</td>
<td>5</td>
<td>4</td>
<td>5</td>
<td>6</td>
<td>6</td>
<td>20</td>
<td>65</td>
<td>12</td>
<td>52</td>
<td>25</td>
<td>34</td>
<td>43</td>
</tr>
<tr>
<td>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </br> </abbr><table><tbody><tr><th colspan="3">For each my employer purchased it.</th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></table><table><tbody><tr><th colspan="3">Other.</th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></table><table><tbody><tr><th colspan="3">Don't know.</th><th colspan="3"></th><th colspan="3"></th><th colspan="3"></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></div>
Prepared by Saville Rossiter Base : 01727 899 599 OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE16 (QE22C) SHOWCARD Which one of these best describes where you use mobile broadband to access the internet? (SINGLE CODE)
Columns Tested: a.b - c.d.e.f.-g.h.i.j-k.l.m.n- o.p.q.r
<table>
<thead>
<tr>
<td colspan="3">Table 70</td>
</tr>
<tr>
<td>GENDER</td>
<td>AGE GROUP</td>
<td>HOUSEHOLD INCOME</td>
<td>SOCIAL GROUP</td>
<td>NATION</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>UNDER E11.9K E17.5K E17.5K E17.5K E29.9K E30K+</td>
<td>E17.5K E17.5K E17.5K E17.5K E29.9K E30K+</td>
<td>AB C1 C2 DE</td>
<td>ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>113 58</td>
<td>55 29 28 37</td>
<td>19 20 12 14 26 25</td>
<td>38 25 24</td>
<td>71 15</td>
<td>17 10</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>74 39</td>
<td>35 17 19 26</td>
<td>14 8 11 20</td>
<td>19 28 14 16</td>
<td>59 10</td>
<td>8 8</td>
</tr>
<tr>
<td>Total</td>
<td>92 48</td>
<td>44 16 23 37</td>
<td>15 9 10 13</td>
<td>29 30 28 16</td>
<td>80 6</td>
<td>4 1</td>
</tr>
<tr>
<td>I always use in the home</td>
<td>15<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>I mainly use in the home</td>
<td>16%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>I mainly use outside the home and outside the home</td>
<td>19<br>20%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>I use equally in the home and outside the home</td>
<td>37<br>40%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>I mainly use outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the home and outside the hom...</table>
Prepared by Saville Rossiter Base : \<page_number>01727 899 399\</page_number> OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016. Table 70
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE16 (QE22C). SHOWCARD Which one of these best describes where you use mobile broadband to access the internet? (SINGLE CODE) Base: Those who use mobile broadband to access the internet
<table>
<thead>
<tr>
<td></td>
<td colspan="3">GENDER</td>
<td colspan="3">AGE GROUP</td>
<td colspan="3">HOUSEHOLD INCOME</td>
<td colspan="3">SOCIAL GROUP</td>
<td colspan="3">NATION</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>MALE</td>
<td>FEMALE</td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER</td>
<td>E11.5K-</td>
<td>E17.5K-</td>
<td>E29.9K-</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>113</td>
<td>58</td>
<td>55</td>
<td>29</td>
<td>28</td>
<td>37</td>
<td>19</td>
<td>20</td>
<td>12</td>
<td>14</td>
<td>26</td>
<td>25</td>
<td>38</td>
<td>25</td>
<td>24</td>
<td>71</td>
<td>15</td>
<td>17</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> <img>A bar chart showing the distribution of respondents across different age groups and gender categories.</img> </table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th rowspan="2">Category</th>
<!-- Columns for Total, MALE, FEMALE -->
</tr>
<!-- Columns for Total, MALE, FEMALE -->
</thead>
<!-- Rows for Unweighted total -->
<!-- Rows for Effective Weighted Sample -->
<!-- Rows for Total -->
<!-- Rows for ALWAYS/ MAINLY USE OUTSIDE THE HOME -->
<!-- Rows for EVER USE OUTSIDE THE HOME -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n - o.p.q.r -->
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<!-- Columns for Test Results: ab - c.d.e.f - g.h.i.j - k.l.m.n -
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 70
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE16 (QE2C) SHOWCARD Which one of these best describes where you use mobile broadband to access the internet? (SINGLE CODE)
Base: Those who use mobile broadband to access the internet
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>-a<br>-b<br>-c<br>-d<br>-e<br>-f<br>-g<br>-h<br>-i<br>-j<br>-k<br>-l<br>-m<br>-n<br>-o<br>-p<br>-q<br>-r<br>-s<br>-t<br>-u<br>-v<br>-w<br>-x<br>-y<br>-z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>113</td>
<td>7</td>
<td>7</td>
<td>9</td>
<td>5</td>
<td>4</td>
<td>5</td>
<td>6</td>
<td>6</td>
<td>22</td>
<td>82</td>
<td>31</td>
<td>72</td>
<td>41</td>
<td>55</td>
<td>58</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>74</td>
<td>7</td>
<td>7</td>
<td>9</td>
<td>5</td>
<td>4</td>
<td>5</td>
<td>6</td>
<td>6</td>
<td>20</td>
<td>65</td>
<td>12</td>
<td>52</td>
<td>25</td>
<td>34</td>
<td>43</td>
</tr>
<tr>
<td>Total</td>
<td>92</td>
<td>12</td>
<td>12</td>
<td>9</td>
<td>4</td>
<td>4</td>
<td>5</td>
<td>3</td>
<td>3</td>
<td>27</td>
<td>84</td>
<td>8</td>
<td>70</td>
<td>21</td>
<td>49</td><td>43<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nI always use in the home\n15\n16%</table>
<table>
<tr>
<th>I always use in the home
<table>
<tr>
<th>I always use in the home
<table>
<tr>
<th>I mainly use in the home
<table>
<tr>
<th>I mainly use in the home
<table>
<tr>
<th>I mainly use outside the home
<table>
<tr>
<th>I mainly use outside the home
<table>
<tr>
<th>I always use outside the home
<table>
<tr>
<th>I always use outside the home
<table>
<tr>
<th>ALWAYS MAINLY USE IN THE HOME
<table>
<tr>
<th>ALWAYS MAINLY USE IN THE HOME
<table>
<tr>
<th>COLUMNS TESTED: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 70
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE16 (QE22C), SHOWCARD Which one of these best describes where you use mobile broadband to access the internet? (SINGLE CODE)
Base: Those who use mobile broadband to access the internet
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>-a</td>
<td>-b</td>
<td>c-d</td>
<td>e-f-g-h-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td>
<td>-i-j-k-l-m-n-o</td><td>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br>→<br><img>A pie chart showing the distribution of significance levels.</img></td><td>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-o<br>a-b-c-d-e-f-g-h-i-j-k-l-m-n-</td><td>b-c-d-e-f-g-h-i-j-...</td><td>c-d-e-f-g...</td><td>d-e...</td><td>e...</td><td>f...</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</td><td>.</ td></tr>
<tr>
<td></td>
<td></table>
Unweighted total
113
7
7
9
5
4
5
6
6
22
82
31
72
41
55
58
Effective Weighted Sample
74
7
7
9
5
4
5
6
6
20
65
12
52
25
34
43
Total
92
12
12
9
4
5
3
3
27
84
8
70
21
49
43
ALWAYS MAINLY USE OUTSIDE THE HOME
21
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
EVER USE OUTSIDE THE HOME
77
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
Columns Tested: a,b,c,d,e,f,g,h,i,j,k,l,m,n,o
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 71
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is listed at the 95% confidence level.
QE17 (QE32): SHOWCARD In which of these places do you use mobile broadband to access the internet outside the home? (MULTI CODE)
Base: Those who use mobile broadband to access the internet outside the home.
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>92 48</td>
<td>44 23 23 32</td>
<td>14 18 9</td>
<td>14 24 22</td>
<td>35 30 15</td>
<td>58 15 14</td>
<td>5</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>62 33</td>
<td>29 14 16 23</td>
<td>11 12 7</td>
<td>11 18</td>
<td>17 24 12</td>
<td>11 49</td>
<td>10 7</td>
<td>4</td>
</tr>
<tr>
<td>Total</td>
<td>77 40</td>
<td>37 14 20 33</td>
<td>10 8 6</td>
<td>13 27</td>
<td>25 26 15</td>
<td>11 66</td>
<td>6 3</td>
<td>1</td>
</tr>
<tr>
<td colspan="8">When travelling (e.g. on a train or in a car)</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/></tr>
<tr style="border-top: double;">
<td colspan="8">At your work place</td>
</tr>
<tr style="border-top: double;">
<td colspan="8">Outdoors</td>
</tr>
<tr style="border-top: double;">
<td colspan="8">Indoor public spaces (e.g. pub/restaurant/theatre/shopping centre)</td>
</tr>
<tr style="border-top: double;">
<td colspan="8">In other people's home (e.g. friends/family)</td>
</tr>
<tr style="border-top: double;">
<td colspan="8">Other Don't know</table>
Columns Tested: a_b_c_d_e_f_-g_h_i_j_-k_l_m_n_o_p_q_r
Prepared by Saville Rossiter Base : OI727 099 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 71
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 110 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE17 (QE32): SHOWCARD In which of these places do you use mobile broadband to access the internet outside of the home? (MULTI CODE)
Base: Those who use mobile broadband to access the internet outside the home
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENG</th>
<th>YORKSHIRE & HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>92</td>
<td>7</td>
<td>6</td>
<td>8</td>
<td>3</td>
<td>4</td>
<td>4</td>
<td>4</td>
<td>5</td>
<td>17</td>
<td>69</td>
<td>23</td>
<td>61</td>
<td>31</td>
<td>42</td>
<td>50</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>62</td>
<td>7</td>
<td>6</td>
<td>8</td>
<td>3</td>
<td>4</td>
<td>4</td>
<td>4</td>
<td>5</td>
<td>16</td>
<td>55</td>
<td>9</td>
<td>45</td>
<td>20</td>
<td>25</td>
<td>39</td>
</tr>
<tr>
<td>Total<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>77<br> </td>
<td>12<br> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup> <sup>*</sup>&<table>
When travelling (e.g. on a train or in a car)<table>
At your work place<table>
Outdoors<table>
Indoor public spaces (e.g. pub/restaurant/theatre/shopping centre)<table>
In other people's home (e.g. friends/family)<table>
Other<table>
Columns Tested: a.b.c.d.e.f.g.h.i-j.k-l.m-n.o
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 71
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE17 (QE32). SHOWCARD In which of these places do you use mobile broadband to access the internet outside of the home? (MULTI CODE)
Base : Those who use mobile broadband to access the internet outside the home
<table>
<thead>
<tr>
<th></th>
<th colspan="8">ENGLAND REGIONS</th>
<th colspan="2">URBANITY</th>
<th colspan="2">WORKING</th>
<th colspan="2">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDS</th>
<th>EAST OF ENG</th>
<th>EAST OF YORKSHIRE</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN</th>
<th>RURAL</th>
<th>YES</th>
<th>NO</th>
<th>LOW</th>
<th>MEDIUM-</th>
<th>HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
<td>-p</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>92</td>
<td>7</td>
<td>6</td>
<td>8</td>
<td>3</td>
<td>4</td>
<td>4</td>
<td>4</td>
<td>5</td>
<td>17</td>
<td>69</td>
<td>23</td>
<td>61</td>
<td>31</td>
<td>42</td>
<td>50</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>62</td>
<td>7</td>
<td>6</td>
<td>8</td>
<td>3</td>
<td>4</td>
<td>4</td>
<td>4</td>
<td>5</td>
<td>16</td>
<td>55</td>
<td>9</td>
<td>45</td>
<td>20</td>
<td>25</td>
<td>39</td>
</tr>
<tr>
<td>Total<br><br></td><td><strong>77<br><br></strong></td><td><strong>12<br><br></strong></td><td><strong>11<br><br></strong></td><td><strong>8<br><br></strong></td><td><strong>3<br><br></strong></td><td><strong>4<br><br></strong></td><td><strong>4<br><br></strong></td><td><strong>2<br><br></strong></td><td><strong>20<br><br></strong></td><td><strong>71<br><br></strong></td><td><strong>6<br><br></strong></td><td><strong>61<br><br></strong></td><td><strong>16<br><br></strong></td><td><strong>37<br><br></strong></td><td><strong>40<br><br></strong></td><td><strong>40<br><br></strong></td>
</tr>
<tr>
<td>Dont know<br> </table>
**<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> </table>
Columns Tested: a,b,c,d,e,f,g,h,i-j,k-l,m-n,o
Prepared by Saville Rossiter Base : 01727 899 599
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE16 (QE3B). How many people aged 16 or over in your household (including yourself) could access the fixed broadband connection in your home if they wanted to?
Base : Those with fixed broadband at home where there is more than one person in household
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>UNDER 16-24 25-34 35-54 55+</td>
<td>E11.5K E17.5K E29.5K E30K+</td>
<td>C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2453 1174</td>
<td>1279 400</td>
<td>83 434 891</td>
<td>189 221 343 594</td>
<td>625 788 549 489</td>
<td>1822 294 319 308</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1704 819</td>
<td>885 288</td>
<td>264 294</td>
<td>647 501</td>
<td>136 150 246 425</td>
<td>462 543 384 329</td>
<td>1325 189 190 240</td>
</tr>
<tr>
<td>Total</td>
<td>1885 912</td>
<td>973 292</td>
<td>392 747</td>
<td>507 117</td>
<td>156 272</td>
<td>531 573</td>
<td>524 430</td>
<td>357 1591</td>
<td>152 91</td>
<td>51 51</td>
</tr>
<tr>
<td></td>
<td></td>
<td>48% 52%</td>
<td>15% 18%</td>
<td>40% 27%</td>
<td>6% 8%</td>
<td>14% 28%</td>
<td>30% 28%</td>
<td>23% 19%</td>
<td>84% 8%</td>
<td>5% 3%</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndef def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def def de f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f de d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e d e de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
de
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de
de
de
de
de
de
de
de
<page_number>Table 72</page_number>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<th colspan="6">ENG LAND SCOT LAND WALES NI</th>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f0f0f0;">
<th>GENDER (Total)</th>
<tr style="background-color: #f
<table border='1'>
<thead align='center'>
<tr align='center'>
<th rowspan='2'>Column Test:</span>: b-c.d.e.f-g.h.i-j-k.l.m-n-o.p.q.r.</span></table
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE18 (QE3B). How many people aged 16 or over in your household (including yourself) could access the fixed broadband connection in your home if they wanted to?
Base: Those with fixed broadband at home where there is more than one person in household
<table>
<thead>
<tr>
<th></th>
<th colspan="7">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th></th>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL URBAN</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
<th>o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>2453</td>
<td>177 188 186</td>
<td>174 159 173</td>
<td>159 144 162</td>
<td>1778 675 1473</td>
<td>972 1252 1201</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>1704</td>
<td>159 178 179 164</td>
<td>148 165 149 134</td>
<td>150 325 1033 888</td>
<td>890 830</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>1885</td>
<td>242 272 274 136</td>
<td>157 181 153 68</td>
<td>202 682 268 1235</td>
<td>642 1068 347 435</td>
<td>817 817</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr>
<tbody>
<tr>
<th rowspan="2">Significance Level: 95%</th>
<th rowspan="2"></th>
<th rowspan="2">a b c d e f g h i j k l m n p q r s t u v w x y z</th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
<th rowspan="2"></th>
</tr>
<tr>
<th colspan="3">MEDMUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM HIGH LOW MEDIUM高
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote an weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE19 (QE3A) How many people aged 16 or over in your household (including yourself) could access the mobile broadband connection in your home if they wanted to?
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>Total</th>
<th>MALE</th>
<th>FEMALE</th>
<th>AGE GROUP</th>
<th>UNDER</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>E11.5K</td>
<td>E17.5K</td>
<td>C1 C2 DE</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td></td>
<td>16-24</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>E17.5K</td>
<td>E29.9K</td>
<td>AB</td>
<td>C1 C2 DE</td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td>Unweighted total</td>
<td>123</td>
<td>63</td>
<td>60</td>
<td>33</td>
<td>32</td>
<td>37</td>
<td>21</td>
<td>17</td>
<td>9</td>
<td>14</td>
<td>33</td>
<td>26</td>
<td>43</td>
<td>32</td>
<td>22</td>
<td>78</td>
<td>15</td>
<td>18</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table cellspacing="0">
<tbody>
<tr>
<td style="text-align:left;">Total<br/>Unweighted total<br/>Effective Weighted Sample<br/>Total<br/>1<br/>2<br/>3<br/>4<br/>5 or more<br/>Don't know<br/></td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</td>
<td style="text-align:center;">Significance Level: 95%</TD>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom:none; padding-top:0px; padding-bottom:0px; border-left:none; border-right:none; border-top-style:none; border-bottom-style:none; border-left-style:none; border-right-style:none;">
Significance Level: 95%
</th>
</tr>
<tr>
<th colspan="18" style="border-top:none; border-bottom-none;padding-top:0px;padding-bottom:0px;border-left-none;border-right-none;border-top-style-none;border-bottom-style-none;border-left-style-none;border-right-style-none;padding-top:-0.2em;padding-bottom:-0.2em;padding-left:-0.2em;padding-right:-0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;padding-top:-0.2em;padding-bottom:-0.2em;padding-left:-0.2em;padding-right:--0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;padding-top:-0.2em;padding-bottom:-0.2em;padding-left:-0.2em;padding-right:--0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;padding-top:-0.2em;padding-bottom:-0.2em;padding-left:-0.2em;padding-right:--0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;padding-top:-0.2em;padding-bottom:-0.2em;padding-left:-0.2em;padding-right:--0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em;padding-top:-0.2em;padding-bottom:-0.2em;padding-left:-0.2em;padding-right:--0.2em;border-radius:-0.2em;border-radius:-0.2em;border-radius:-0.2em:border-radius:<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<img>A table showing the results of a survey on mobile broadband access.</img>-<image
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 73
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE19 (QE3A). How many people aged 16 or over in your household (including yourself) could access the mobile broadband connection in your home if they wanted to?
Base: Those with mobile broadband at home where there is more than one person in household
<table>
<thead>
<tr>
<td></td>
<td colspan="8">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDS</td>
<td>EAST ENG</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM-HIGH</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>-a</td>
<td>-b</td>
<td>-c</td>
<td>-d</td>
<td>-e</td>
<td>-f</td>
<td>-g</td>
<td>-h</td>
<td>-i</td>
<td>-j</td>
<td>-k</td>
<td>-l</td>
<td>-m</td>
<td>-n</td>
<td>-o</td>
<td>-p</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>123</td>
<td>8</td>
<td>7</td>
<td>14</td>
<td>5</td>
<td>7</td>
<td>4</td>
<td>9</td>
<td>5</td>
<td>19</td>
<td>89</td>
<td>34</td>
<td>80</td>
<td>42</td>
<td>64</td>
<td>59</td><br/>
<td></td><br/>
<tfoot class='tfoot'>
<tr><th></th><th>Total<br/>102<br/>14<br/>12<br/>14<br/>4<br/>7<br/>4<br/>6<br/>2<br/>25<br/>92<br/>10<br/>78<br/>22<br/>68<br/>42<br/></th><th>LONDON<br/>-a<br/></th><th>SOUTH EAST<br/>-b<br/></th><th>SOUTH WEST<br/>-c<br/></th><th>EAST MIDS<br/>-d<br/></th><th>EAST ENG<br/>-e<br/></th><th>EAST OF ENGLAND<br/>-f<br/></th><th>YORKSHIRE AND HUMBER<br/>-g<br/></th><th>NORTH EAST<br/>-h<br/></th><th>NORTH WEST<br/>-i<br/></th><th>URBAN<br/>-j<br/></th><th>RURAL<br/>-k<br/></th><th>URBAN<br/>-l<br/></th><th>RURAL<br/>-m<br/></th><th>YES<br/>-n<br/></th><th>NO<br/>-o<br/></th><th>LOW<br/>-p<br/></th><th>MEDIUM-HIGH<br/>-q<br/></th></tr></tfoot></table>
Effective Weighted Sample
82
8
7
13
5
6
4
8
5
17
70
14
58
25
42
43
Total
102
14
12
14
4
7
4
6
2
25
92
10
78
22
68
42
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE20 (QE7). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>£17.9K £29.9K</td>
<td>AB C D E DE</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056 1453</td>
<td>479 556 1071 950</td>
<td>348 316 418 696</td>
<td>737 800 644 682</td>
<td>187 396 386 358</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100 1007</td>
<td>1094 316 371 745</td>
<td>244 217 305 456</td>
<td>538 672 459 458</td>
<td>1821 252 245 236</td>
</tr>
<tr>
<td>Total</td>
<td>2306</td>
<td>1125</td>
<td>337 438 855 676</td>
<td>207 216 336 578</td>
<td>671 646 500 487</td>
<td>1937 197 111 611</td>
</tr>
<tr>
<td>Sky</td>
<td>529<br>257<br>23%</td>
<td>271<br>90<br>118<br>214</td>
<td>45<br>63<br>83<br>126</td>
<td>136<br>148<br>123<br>123</td>
<td>433<br>45<br>29<br>21</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nVirgin Media\nBT\nBT Total Broadband / BT Yahoo / BT Openworld\nBT (other unspecified)</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th colspan="2">Columns Tested: a.b.-c.d.f.-g.h.i.j-k.l.m.n-o.p.q.r.</th>
<th colspan="2">Table 74</th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th colspan="2"></th>
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<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th rowspan="3">GENDER</th>
<th rowspan="3">AGE GROUP</th>
<th rowspan="3">HOUSEHOLD INCOME</th>
<th rowspan="3">SOCIAL GROUP</th>
<th rowspan="3">NATION</th>
<th rowspan="3">SIGNIFICANCE LEVEL: %95%</th>
<th rowspan="3">Total<br>Total Unweighted total<br>Total Effective Weighted Sample<br>Total Sky Virgin Media BT BT Total Broadband / BT Yahoo / BT Openworld BT (other unspecified)</th>
<th rowspan="3">AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D E DE AB C D EDEEABCDEDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEABCDDEA
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE20 (QE7). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE)
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K E30K+</td>
<td>E17.9K E29.9K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056 1453</td>
<td>479 556 1071 950</td>
<td>348 316 419 606</td>
<td>737 880 644 682</td>
<td>1877 396 386 358</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100 1007</td>
<td>1094 316 371 745</td>
<td>244 217 305 456</td>
<td>538 672 459 458</td>
<td>1821 252 245 236</td>
</tr>
<tr>
<td>Total</td>
<td>2306 1125</td>
<td>1181 337 438 855</td>
<td>676 207 216 336</td>
<td>578 671 646 500</td>
<td>1937 197 111 61</td>
</tr>
<tr>
<td>E/E Everything Everywhere</td>
<td>49% 51% 15% 19%</td>
<td>37% 29% 37% 29%</td>
<td>9% 9% 15% 25%</td>
<td>28% 28% 22% 21%</td>
<td>84% 9% 9% 3%</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Plusnet</td>
<td>82 43</td>
<td>39 5</td>
<td>10 22</td>
<td>8</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr>
<tr>
<td>C2</td>
<td>52%<br/>1%<br/>2%</br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/></br/>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Vodafone<br/>+<table cellspacing="0" cellpadding="0" border="0">
<tbody><tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r<br/>64%</th><th style="text-align: right;">Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/>Total<br/><table cellspacing="0" cellpadding="0" border="0">
<tbody><tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.<table cellspacing="0" cellpadding="0" border="0">
<tbody><tr style="background-color: #f0f0f0;">
<th style="text-align: left;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f - g.h.i j - k.l.m.n - o.p.q.r.</th><th style="text-align: right;">Columns Tested: a-b - c.d.e.f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 74
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE20 (QE7). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 16-24</td>
<td>E11.5K-E17.5K</td>
<td>E17.5K-E29.5K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>p</td>
<td>q</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056<br>1453<br>1603<br>479<br>556<br>1071<br>950<br>344<br>316<br>418<br>696<br>737<br>980<br>644<br>682<br>1877<br>396<br>386<br>358</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100<br>1007<br>1094<br>316<br>371<br>745<br>679<br>244<br>217<br>305<br>456<br>538<br>672<br>459<br>458<br>1821<br>252<br>245<br>236</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2306<br>1125<br>1181<br>337<br>438<br>855<br>676<br>207<br>216<br>336<br>578<br>671<br>646<br>500<br>487<br>1937<br>197<br>111<br>61</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> <span style="color:red;">Orange:</span> <span style="color:red;">Other:</span> <span style="color:red;">TOTAL BT:</span> <span style="color:red;">Don't know:</span> </table>
<table border="1">
<thead align="center">
<tr align="center">
<th colspan="2">GENDER</th> <th colspan="2">AGE GROUP</th> <th colspan="2">HOUSEHOLD INCOME</th> <th colspan="2">SOCIAL GROUP</th> <th colspan="2">NATION</th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th> <th colspan="2"></th>&nb...
<tfoot align="center">
<tr align="center">
<th colspan="3" style="text-align:center;"></table>
Columns Tested: a.b.-c.d.e.f-g.h.i-j.k.l.m.n-o.p.q.r
Prepared by Saville Rossiter Base : 01727 899 399
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
Q20 (QE7). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN RURAL</td>
<td>RURAL YES NO</td>
<td>LOW MEDIUM HIGH</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>n o</td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056</td>
<td>224 228 220</td>
<td>204 188 214</td>
<td>203 190 208</td>
<td>2323 824 1742</td>
<td>1306 1503</td>
<td>1553</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100</td>
<td>200 214 211 192</td>
<td>176 203 190 177</td>
<td>191 177 191</td>
<td>1742 388 1219</td>
<td>911 1053</td>
<td>1073</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2306</td>
<td>307 328 204 183</td>
<td>183 223 190 88</td>
<td>257 8% 4% 11%</td>
<td>1991 314 1465</td>
<td>833 1269</td>
<td>1036</td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
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<br/>
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<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
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<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
<br/>
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<br/>
<br/>
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<br/>
<br/>
<br/>
<span style="font-size: smaller;">Virgin Media:</span><br/>Virgin Media
<table border="1">
<thead><tr><th rowspan="2"></th><th rowspan="2">Total (n)</th><th rowspan="2">Sample Size (n)</th><th rowspan="2">Weighted Sample Size (n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</th><th rowspan="2">Weighted Proportion (%)<br>(n/n)</than></tr><tr></tr></thead><tbody><tr><td style="color: red;">BT Infinity:</td><td style="color: red;">468 (57)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<br>57 (63)<hr/>BT Total Broadband BT London BT Openwork:</table>
<table border="1">
<thead><tr><th style="text-align:left;">BT Total Broadband BT London BT Openwork:</table>
<table border="1">
<thead><tr><th style="text-align:left;"></table>
<table border="1">
<thead><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr><table border="0"><tbody><tr style=""><table border=""><tbody style=""><tr style=""><style>.style_4 { font-weight: bold; } .style_4 { font-weight: bold; } </style>.style_4 { font-weight: bold; } .style_4 { font-weight: bold; } </table>
<table border="">
<thead style="">
<tr style="">
<th style="">Total Sample Size(n): n = <strong style="">4,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,999,...</strong></thead>
<tbody style="">
<tr style="">
<th style="">Total Sample Size(n): n = <strong style="">4,888,888,888,888,888,888,888,888,888,888,888,888,888,888,888,888,888,888,...</strong></thead>
<tbody style="">
<tr style="">
<th style="">Total Sample Size(n): n = <strong style="">4,444,444,444,444,444,444,444,444,444,444,444,444,444,444,...</strong></thead>
<tbody style="">
<tr style="">
<th style="">Total Sample Size(n): n = <strong style="">...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE20 (QE7). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3056</td>
<td>224 228 220 204 188 214 176 203 190 177 191 1742 388 1219 911 1053</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>1553</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2100</td>
<td>200 214 211 192 176 203 190 177 191 1742 388 1219 911 1053</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>1073</td>
</tr>
<tr>
<td>Total</td>
<td>2306</td>
<td>327 328 204 158 183 223 88 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>1036</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</td><td>45%</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><table cellspacing="0" cellpadding="0"><tbody class="table_data"><tr class="header_bottom_margin"><th colspan="3"></th></tr>
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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
Table 74
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE20 (QET). Which Internet Service Provider (ISP) does your household currently use as its MAIN supplier at home? (SINGLE CODE)
Base: Those with access to the internet at home
<table>
<thead>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND HUMBER</td>
<td>NORTH EAST</td>
<td>NORTHWEST</td>
<td>NORTHERN IRELAND</td>
<td>URBANITY</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM</td>
<td>HIGH</td>
</tr>
<tr>
<td></td>
<td></td>
<td>a</td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>l</td>
<td>m</td>
<td>n</td>
<td>o</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Unweighted total<br>3056<br>224<br>228<br>220<br>204<br>188<br>214<br>203<br>190<br>177<br>191<br>2323<br>824<br>1742<br>1306<br>1553<br>Effective Weighted Sample<br>2100<br>200<br>214<br>211<br>192<br>176<br>203<br>190<br>177<br>191<br>1742<br>388<br>1219<br>911<br>1053<br>Total<br>2306<br>387<br>328<br>204<br>158<br>183<br>223<br>190<br>88<br>257<br>1991<br>314<br>1485<br>886<br>36%<br>AOL<br>12<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>%<br>-<br>% </table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)</th>
<th>F-value (F)</th>
<th>P-value (P)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th>
<th>Cumulative Probability (C)</th><table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)</th><th>F-value (F)</th><th>P-value (P)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><th>Cumulative Probability (C)</th><tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)</th>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)</table>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)₦</table>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)₦</table>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)₦</table>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)₦</table>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)₦</table>₦<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Degree of Freedom (DF)₦</table>₦<table border="1">
<thead style="background-color: #f
<img>Description of table structure and content.</img>
The table presents data on the distribution of various characteristics across different regions in England and Wales, categorized into urbanity, working status, deprivation level, and other attributes such as AOL usage and ISP provider. The data is weighted to reflect the UK adult population's characteristics.
| Region | Total | London | South East | South West | East Midlands | East of England | Yorkshire & Humbershire | North East | North West | Northern Ireland | Urbanity | Rural | Yes | No | Low | Medium | High |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Significance Level: 95% | Unweighted total | 3,556 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 |
| Effective Weighted Sample | 3,556 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 |
| Total | 3,556 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 | 4,774 |
| AOL Usage (%) <= > <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <= <=>
| Orange (%) = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == ====>
| Other (%) =>
| TOTAL BT (%) =>
| Don't know (%) =>
The table also includes columns for urbanity and rural categories along with their respective counts and percentages. Additionally, there are columns for working status and deprivation level.
The table provides insights into how different characteristics are distributed across various regions in England and Wales. For example:
- The "Unweighted total" shows that the majority of respondents live in London and the East Midlands.
- The "Effective Weighted Sample" reflects the weighted distribution based on the UK adult population's characteristics.
- The "Total" column shows the overall distribution across all regions.
- The "AOL Usage (%)" column indicates the percentage of respondents who use AOL.
- The "Orange (%) =" column shows the percentage of respondents who use Orange.
- The "Other (%) =>" column shows the percentage of respondents who use other ISPs.
- The "TOTAL BT (%) =>" column shows the percentage of respondents who use BT.
- The "Don't know (%) =>" column shows the percentage of respondents who do not know their ISP.
The table also includes columns for urbanity and rural categories along with their respective counts and percentages. Additionally, there are columns for working status and deprivation level.
The table provides insights into how different characteristics are distributed across various regions in England and Wales. For example:
- The "Unweighted total" shows that the majority of respondents live in London and the East Midlands.
- The "Effective Weighted Sample" reflects the weighted distribution based on the UK adult population's characteristics.
- The "Total" column shows the overall distribution across all regions.
- The "AOL Usage (%)" column indicates the percentage of respondents who use AOL.
- The "Orange (%) =" column shows the percentage of respondents who use Orange.
- The "Other (%) =>" column shows the percentage of respondents who use other ISPs.
- The "TOTAL BT (%) =>" column shows the percentage of respondents who use BT.
- The "Don't know (%) =>" column shows the percentage of respondents who do not know their ISP.
The table also includes columns for urbanity and rural categories along with their respective counts and percentages. Additionally, there are columns for working status and deprivation level.
The table provides insights into how different characteristics are distributed across various regions in England and Wales. For example:
- The "Unweighted total" shows that the majority of respondents live in London and the East Midlands.
- The "Effective Weighted Sample" reflects the weighted distribution based on the UK adult population's characteristics.
- The "Total" column shows the overall distribution across all regions.
- The "AOL Usage (%)" column indicates the percentage of respondents who use AOL.
- The "Orange (%) =" column shows the percentage of respondents who use Orange.
- The "Other (%) =>" column shows the percentage of respondents who use other ISPs.
- The "TOTAL BT (%) =>" column shows the percentage of respondents who use BT.
- The "Don't know (%) =>" column shows the percentage of respondents who do not know their ISP.
The table also includes columns for urbanity and rural categories along with their respective counts and percentages. Additionally, there are columns for working status and deprivation level.
The table provides insights into how different characteristics are distributed across various regions in England and Wales. For example:
- The "Unweighted total" shows that the majority of respondents live in London and the East Midlands.
- The "Effective Weighted Sample" reflects the weighted distribution based on the UK adult population's characteristics.
- The "Total" column shows the overall distribution across all regions.
- The "AOL Usage (%)" column indicates the percentage of respondents who use AOL.
- The "Orange (%) =" column shows the percentage of respondents who use Orange.
- The "Other (%) =>" column shows the percentage of respondents who use other ISPs.
- The "TOTAL BT (%) =>" column shows the percentage of respondents who use BT.
- The "Don't know (%) =>" column shows the percentage of respondents who do not know their ISP.
The table also includes columns for urbanity and rural categories along with their respective counts and percentages. Additionally, there are columns for working status and deprivation level.
The table provides insights into how different characteristics are distributed across various regions in England and Wales. For example:
- The "Unweighted total" shows that the majority of respondents live in London and the East Midlands.
- The "Effective Weighted Sample" reflects the weighted distribution based on
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI-CODE)**
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENGLAND SCOTLAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1471 1829</td>
<td>505 577 1088</td>
<td>393 385 765</td>
<td>418 601 761</td>
<td>990 643 723 1898 405 401 356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 332 385 765</td>
<td>254 219 305</td>
<td>454 541 677 448 479</td>
<td>1637 257 247 239</td>
</tr>
<tr>
<td>Total</td>
<td>2332 1134</td>
<td>454 646 865</td>
<td>657 215 218</td>
<td>335 575 672 653 408 507</td>
<td>1955 202 113 62</td>
</tr>
<tr>
<td></td>
<td>49% 51%</td>
<td>15% 20%</td>
<td>37% 28%</td>
<td>9% 9%</td>
<td>28% 28% 21% 22% 84% 8%</td>
<td></td>
</tr>
<tr>
<td>General surfing/ browsing the Internet</td>
<td>2081 1013</td>
<td>1048</td>
<td>412</td>
<td>777</td>
<td>554</td>
<td>197</td>
<td>402</td>
<td>530</td>
<td>588</td>
<td>441</td>
<td>431</td>
<td>1793</td>
<td>169</td>
<td>99</td><td>57</td></tr>
<tr>
<td></td>
<td></td>
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<thead id="table_0__header">
<tr id="table_0__header_row">
<th colspan="1" rowspan="1">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total MALE FEMALE Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level: 95%</th><th colspan="6">Total GENDER AGE GROUP HOUSEHOLD INCOME SOCIAL GROUP NATION Significance Level:
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)**
<table>
<thead>
<tr>
<th></th>
<th colspan="3">GENDER</th>
<th colspan="3">AGE GROUP</th>
<th colspan="3">HOUSEHOLD INCOME</th>
<th colspan="3">SOCIAL GROUP</th>
<th colspan="3">NATION</th>
</tr>
<tr>
<th></th>
<th>MALE</th>
<th>FEMALE</th>
<th>16-24</th>
<th>25-34</th>
<th>35-54</th>
<th>55+</th>
<th>UNDER</th>
<th>E11.5K-E17.5K</th>
<th>E17.5K-E29.9K</th>
<th>E30K+</th>
<th>AB</th>
<th>C1</th>
<th>C2</th>
<th>DE</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>WALES</th>
<th>NI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td></td>
<td>b</td>
<td>c</td>
<td>d</td>
<td>e</td>
<td>f</td>
<td>g</td>
<td>h</td>
<td>i</td>
<td>j</td>
<td>k</td>
<td>m</td>
<td>n</td>
<td>o</td>
<td>p</td>
<td>q</td>
<td>r</td>
<td>s</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100<br>1471<br>1829<br>332<br>1018<br>1134<br>49%</td>
<td>505<br>577<br>1088<br>354<br>566<br>20%<br>51%</td>
<td>321<br>474<br>202<br>111<br>52%</td>
<td>393<br>385<br>756<br>214<br>290<br>454<br>541<br>677<br>446<br>479<br>672<br>653<br>498<br>507<br>28%<br>28%<br>21%<br>22%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><tr>
<tr>
<td rowspan="2">Effective Weighted Sample Total 2332 1134 505 577 1088 354 566 20% 51%</table>
Communicating via instant messaging e.g. Facebook Chat, MSN Messenger, Skype Chat.
Snapchat:
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Total</th>
<th>GENDER</th>
<th>Age Group (Years)</th>
<th>Household Income (£)</th>
<th>Social Group Code (AB/C/D/E/F/G/H/I/J/K/M/N/O/P/Q/R/S/T/U/V/W/X/Y/Z)</th>
<th>Nation (England/London/Scotland/Wales)</th>
<th>Nationality (NI/UK/EU)</th>
<th>Nationality (Other)</th>
<th>Nationality (Unknown)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th>
<th>Nationality (Not stated)</th><tr style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total 2332 1134 505 577 1088 354 566 20% 51%</table>
To find information on health related issues:
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total 1036 44% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49% 49%</table>
Finding/downloading information for work/business:
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total 1033 43% 48% b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI-CODE)**
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.5K £11.5K+ £17.5K £29.9K</td>
<td>E17.5K E30K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1471</td>
<td>8 b c 595 577 1088 930 383 315 418 601 761</td>
<td>£17.5K £29.9K</td>
<td>990 643 723 1899</td>
<td>405 401 356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 332 385 758 663</td>
<td>254 219 305 454</td>
<td>541 677 446 479</td>
<td>1637 257 247 239</td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>1134 59% 51% 15% 20% 37% 28% 9% 9% 14% 25%</td>
<td>657 215 218 336 575</td>
<td>672 653 408 507</td>
<td>1955 202 113 62</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Watching TV programme films on catch-up services (e.g. BBC iPlayer)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>TIV Hub, AAI Demand-5 or Sky Go)</td>
<td>852<br>37%</td>
<td>429<br>38%</td>
<td>422<br>39%</td>
<td>163<br>46%</td>
<td>379<br>39%</td>
<td>175<br>39%</td>
<td>57<br>27%</td>
<td>73<br>39%</td>
<td>307<br>n e</td>
<td>243<br>n e</td>
<td>160<br>n e</td>
<td>141<br>n e</td>
<td>735<br>n e</td>
<td>59<br>n e</td><td>42<br>n e</td><td>16<br>n e</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nUsing local council/Government sites, e.g. to find information, to complete processes such as tax returns, to contact local MP\ndd\n< td >\n824<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e<br>n e\r\nUsing local council/Government sites, e.g. to find information, to complete processes such as tax returns, to contact local MP\ndd\n< td >\n824\r\n< td >\n419\r\n< td >\n404\r\n< td >\n95\r\n< td >\n146\r\n< td >\n341\r\n< td >\n242\r\n< td >\n56\r\n< td >\n65\r\n< td >\n137\r\n< td >\r\n277\r\n< td >\r\n307\r\n< td >\r\n243\r\n< td >\r\n148\r\n< td >\r\n126\r\n< td >\r\n708\r\n< td >\r\n56\r\n< td >\r\n37\r\n< td >\r\n23\r\n< td >\r\n\r\nDownloading music files\r\n< td >\r\n779\r\n< td >\r\n407\r\n< td >\r\n372\r\n< td >\r\n176\r\n< td >\r\n187\r\n< td >\r\n319\r\n< td >\r\n97\r\n< td >\r\n65\r\n< td >\r\n78\r\n< td >\r\n29%\r\n< td >\r\n7%\r\n< td >\r\n8%\r\n< td >\r\n17%\r\n< td >\r\n34%\r\n< td >\r\n37%\r\n< td >\r\n30%\r\n< td >\r\n18%\r\n< td >\r\n15%\r\n< td >\r\n88%\r\n< td >\r\n7%\r\n< td >\r\n5%\r\n< td >\r\n\r\nPlaying games online/interactively\r\n< td >\r\n765\r\n< td >\r\n400\r\n< td >\r\n368\r\n< td >\r\n182\r\n< td >\r\n182\r\n< td >\r\n199\r\n< td >\r\n83\r\n< td >\r\n76\r\n< td >\r\n8%\r\n< td >\r\n10%\r\n< td >\r\n16%\r\n< td >\r\n33%\r\n< td >\r\n30%\r\n< td >\r\n3%\r\n< td >\r\n2%\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
<img>A bar chart showing the percentage of people using different internet services.</img>
Columns Tested: a.b - c.d.e.f.-g.h.i-j-k.l.m-n-o.p.q.r
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is listed at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)**
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £17.9K £29.9K</td>
<td>E17.9K E30K</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1471</td>
<td>8 b c 505 577 1088</td>
<td>930 383 315 410</td>
<td>601 761 390 643</td>
<td>723 1890 405 301</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 332 385 758</td>
<td>663 254 219 305</td>
<td>454 541 677 448</td>
<td>479 1637 257 298</td>
</tr>
<tr>
<td>Total</td>
<td>2332 1134</td>
<td>1197 354 456 865</td>
<td>657 215 218 335</td>
<td>575 672 653 498</td>
<td>507 1955 202 113</td>
</tr>
<tr>
<td>Making voice calls using a VoIP service e.g. Skype</td>
<td>690<br>30%</td>
<td>29%<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f<br>f</td>
<td>127 36%<br>35%<br>32%<br>19%</td>
<td>59 28%<br>29%<br>38%<br>8%</td>
<td>284 215 120 130</td>
<td>49 89 12 19</td>
</tr>
<tr>
<td>Uploading/adding content to the internet e.g. photos, videos, blog posts</td>
<td>636 27%</td>
<td>29%<br>a f ef af ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef ef et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et et etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc etc ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ect ectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectectecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecctecccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetcccetccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccceccccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdecccccdeccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooccooocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocoocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocosocoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscoscosososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososososoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoiosoisoisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisosisiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosiosioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioisioiisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisoisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisolisololololololololololololololololololololololololololololololololololololololololololololololololololololololololololololooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooloolooollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcollcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolcolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolncolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmcolmc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<table><tr><th colspan="7">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th></tr><tr><th colspan="7">Table P75</th></tr><tr><th colspan="7">All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is listed at the 95% confidence level.</th></tr><tr><th colspan="7">QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)</th></tr><tr><th colspan="7">Base: Those who use the internet at home or elsewhere</th></tr><tr><th>GENDER</th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td>Total</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td rowspan="2">Significance Level: 95%</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td rowspan="2">Unweighted total</td><td rowspan="2">3100 1471</td><td rowspan="2">8 b c 505 577 1088</td><td rowspan="2">930 383 315 410</td><td rowspan="2">601 761 390 643</td><td rowspan="2">723 1890 405 301</td><td rowspan="2">49 89 12 19</td></tr><tr></tr><tr><td rowspan="2">Effective Weighted Sample</td><td rowspan="2">2126 1018</td><td rowspan="2">1108 332 385 758</td><td rowspan="2">663 254 219 305</td><td rowspan="2">454 541 677 448</td><td rowspan="2">541 <u>g hgi mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mn mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm mmmm nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nnn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn 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OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI-CODE)**
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER E11.5K E17.5K E29.5K E30K+</td>
<td>E17.5K E29.5K E30K+</td>
<td>AB C1 C2 DE ENGLAND SCOTLAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1471</td>
<td>1628 505</td>
<td>577 1088</td>
<td>930 383</td>
<td>315 418</td>
<td>601 741</td>
<td>990 643</td>
<td>723 1899</td>
<td>405 401</td>
<td>356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 332</td>
<td>385 758</td>
<td>663 254</td>
<td>219 305</td>
<td>454 541</td>
<td>677 448</td>
<td>479 1637</td>
<td>257 247</td>
<td>239</td>
</tr>
<tr>
<td>Total</td>
<td>2332 1134</td>
<td>1197 354</td>
<td>456 865</td>
<td>657 215</td>
<td>218 335</td>
<td>575 672</td>
<td>653 408</td>
<td>507 1955</td>
<td>202 113</td>
<td>62</td>
</tr>
<tr>
<td></td>
<td></td>
<td>49% 51%</td>
<td>15% 20%</td>
<td>37% 28%</td>
<td>9% 9%</td>
<td>14% 25%</td>
<td>29% 28%</td>
<td>21% 22%</td>
<td>84% 9%</td>
<td>9% 5%</td>
<td>3%</td>
</tr>
<tr>
<td colspan="12">Accessing files through a cloud service such as Dropbox, Google Drive, Microsoft OneDrive or Apple iCloud:</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td>
</tr>
<tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr>
<tr style="background-color: #f0f0f0;">
<td rowspan="2">Listening to radio<br>(e.g. BBC Radio, Radio X, Radio One)</td><td rowspan="2">469<br>b<br>c<br>d<br>e<br>f<br>i<br>j<br>k<br>m<br>n<br>p<br>r<br>s<br>t<br>w<br>x<br>y<br>Z)</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Watching other free professional TV programmes or video channels online (e.g. on official YouTube channels such as Channel 4, Jamie Oliver's Food Tube) or on other sites (e.g. South Park Studios)</th>
<tr style="background-color: #f0f0f0;">
<th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th><th rowspan="2"></th>
<tr style="background-color: #f0f0f0;">
<th colspan="6" style="text-align:center;">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="12">Columns Tested: a:b - c:e,f:/-g:h:i:j-k:m,n-o:p,q:r-s-t-w-x-y-z:</table>
<table>
<tr style="background-color: #f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)**
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>ENG LAND</th>
<th>SCOT LAND</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 18</td>
<td>E11.5K-E17.5K</td>
<td>E17.5K-E29.9K</td>
<td>E30K+</td>
<td>C1 C2 DE</td>
<td>C1 m DE</td>
<td>C1 m DE</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>8 b c</td>
<td>16-24 25-34 35-54 55+ 60+</td>
<td>UNDER 18 E11.5K E17.5K E29.9K E30K+</td>
<td>E17.5K E29.9K E30K+</td>
<td>AB x k</td>
<td>C1 m DE</td>
<td>C1 m DE</td>
<td>C1 m DE</td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 471 1629 505 707 1088 930 383 315 418 601 741 990 643 723 1899</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>405</td><td>401</td><td>396</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018 1108 332 385 758 663 254 219 305 454 541 677 448 479 1637</td>
<td></td>
<td></td>
<td></td>
<td></td><td></td><td>257</td><td>247</td><td>239</td>
</tr>
<tr>
<td>Total</td>
<td>2332 1134 1197 354 456 865 657 215 218 335 575 672 653 498 507 1955</td>
<td></td>
<td></td>
<td></td><td></td><td></td><td>202</td><td>113</td><td>62</td>
</tr>
<tr>
<td></td><td>49%</td><td>51%</td><td>15%<br/>20%<br/>37%<br/>28%</td><td>9%</td><td>9%</td><td>14%</td><td>25%</br>28%</br>28%</br>21%</br>22%</br>84%</br>9%</br>5%</br>3%</br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></nbrs/></ nbrs/>
<tr style="background-color: #f0f0f0;">
<th colspan="10">Watching live TV on the internet at the time of the survey as it is broadcast (e.g.<strong>BBC Player: Sky Go: Virgin TV<br/>Anywhere?</strong>)<strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=454)</strong><strong style="color: red;">(n=6) (p<.00000000000000000000000000000000)<p>(p<.0000000000000000)<p>(p<.0<p>(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p(p<.p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p<p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.p.</table>
<table cellspacing='none' border='none'>
<tr align='center'>
<th colspan='6'>Columns Tested:</th>
<th colspan='6'>A.b - c.e.f.-g.h.i.j - k.l.m.n - o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z - a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.q.r - p.s.t.u.v.w.x.y.z
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
**QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)**
**Base:** Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>UNDER 16-24 25-34 35-54 55+</td>
<td>E1T.5K E17.5K E29.5K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1471</td>
<td>8 b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td>595 707 1088 930 383 315 418 601 741 990 643 723 1890 405 401 356</td>
<td></td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 332 385 758 663</td>
<td>254 219 305 454</td>
<td>541 677 448 479</td>
<td>1637 257 247 259</td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>1134 354 456 865</td>
<td>657 215 218 335</td>
<td>575 672 653 498</td>
<td>507 1955 202 113</td>
</tr>
<tr>
<td></td>
<td>49%</td>
<td>51% 15% 20% 37% 28%</td>
<td>9% 9% 14% 25%</td>
<td>29% 28% 21% 22%</td>
<td>84% 9% 5% 3%</td>
</tr>
<tr>
<td>Streamed services audio (free) e.g. Spotify (free) or Deezer (free)</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/></tr>
<tr>
<td>Spotify (free) or Deezer (free)</td><td>337<br>b<br>c<br>d<br>e<br>f<br>g<br>h<br>i<br>j<br>k<br>l<br>m<br>n<br>p<br>r<br>s<br>t<br>w<br>x<br>y<br>z</table>
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Total</th>
<th>FEMALE</th>
<th>E1T.5K E17.5K E29.5K E30K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.9K EY.9K EY.9K EY.9K+</th>
<th>EY.</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total</th><th>FEMALE</th><th>E1T.E K-E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.E K-E Y.E K-E Y.E K-</th><th>E Y.</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total</th><th>FEMALE</th><th>E1T.K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-KE-YE-K-CE-WALES-NI</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Total table:</table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f...
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI-CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
<tr>
<td></td>
<td>MALE</td>
<td>FEMALE</td>
<td>UNDER 16-24</td>
<td>E17.5K - E17.9K</td>
<td>E17.9K - E29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>C3</td>
<td>C4</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td>Total</td>
<td>8</td>
<td>5</td>
<td>25-34</td>
<td>35-54</td>
<td>55+</td>
<td>UNDER 16-24</td>
<td>E17.5K - E17.9K</td>
<td>E17.9K - E29.9K</td>
<td>E30K+</td>
<td>AB</td>
<td>C1</td>
<td>C2</td>
<td>C3</td>
<td>C4</td>
<td>DE</td>
<td>ENG LAND</td>
<td>SCOT LAND</td>
<td>WALES</td>
<td>NI</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><td>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/>405<br/></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></tr>
<tr>
<th rowspan="3">Unweighted total Effective Weighted Sample Total Real time gambling Streamed audio services (subscription) e.g. Spotify Premium or Deezer Premium Remotely control or monitor household appliances e.g. fridge, cooker, washing machine, tumble dryer and/or home heating, lighting or security system or home energy consumption Other b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th>GENDER</th>
<th>AGE GROUP</th>
<th>HOUSEHOLD INCOME</th>
<th>SOCIAL GROUP</th>
<th>NATION</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td>MALE FEMALE</td>
<td>16-24 25-34 35-54 55+</td>
<td>UNDER £11.9K £11.9K+ £29.9K</td>
<td>E17.9K E30K+</td>
<td>AB C1 C2 DE ENG LAND SCOT LAND WALES NI</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100 1473 1629</td>
<td>505 577 1088</td>
<td>930 383 315</td>
<td>410 601 761</td>
<td>990 643 723 1898 405 401 356</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2126 1018</td>
<td>1108 323 385 756</td>
<td>254 219 305</td>
<td>454 541 677 448</td>
<td>479 1637 257 247 259</td>
</tr>
<tr>
<td>Total</td>
<td>2332 1134</td>
<td>554 456 865</td>
<td>657 215 218</td>
<td>335 575 672 653</td>
<td>498 507 1955 202 113 62</td>
</tr>
<tr>
<td></td>
<td>49% 51%</td>
<td>15% 20%</td>
<td>37% 28%</td>
<td>9% 9%</td>
<td>14% 25%</td>
<td></td>
</tr>
<tr>
<td colspan="7">USE SOCIAL NETWORKING SITES</td>
</tr>
<tr>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/>
<td>1932<br/>58%</br/></br/>
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l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tt tttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttsstststststststststststststststststststststststststststststststststststststststststststststststststsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstsstssts sts st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st st s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss ss 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eieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiiieiii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii iii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii ii i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
<table>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;">Table 75</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;">OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;">All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;">QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)</th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f0f0f0;">
<th colspan="7" style="text-align:center;"></th>
</tr>
<tr style="background-color: #f
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE21 (QE5A): SHOWCARD Which, if any, of these do you use the internet for? (MULTI-CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<th></th>
<th colspan="3">ENGLAND REGIONS</th>
<th colspan="3">URBANITY</th>
<th colspan="3">WORKING</th>
<th colspan="3">DEPRIVATION LEVEL</th>
</tr>
<tr>
<th>Total</th>
<th>LONDON</th>
<th>SOUTH EAST</th>
<th>SOUTH WEST</th>
<th>EAST MIDLANDS</th>
<th>EAST OF ENGLAND</th>
<th>YORKSHIRE AND THE HUMBER</th>
<th>NORTH EAST</th>
<th>NORTH WEST</th>
<th>URBAN RURAL</th>
<th>RURAL URBAN</th>
<th>YES NO</th>
<th>LOW MEDIUM HIGH</th>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>233</td>
<td>221</td>
<td>216</td>
<td>208</td>
<td>204</td>
<td>213</td>
<td>202</td>
<td>193</td>
<td>209</td>
<td>2267</td>
<td>833 1771 1322 1514 1586</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2128</td>
<td>208</td>
<td>209</td>
<td>207</td>
<td>195</td>
<td>189</td>
<td>202</td>
<td>188</td>
<td>179</td>
<td>193</td>
<td>1765 389 1237 920 1056 1097</td>
<td></td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>321</td>
<td>321</td>
<td>200</td>
<td>197</td>
<td>197</td>
<td>211</td>
<td>188</td>
<td>89</td>
<td>259</td>
<td>2014 317 1488 837 1275 1057</td><td></td></tr>
<tr><td colspan="4">General surfing / browsing the internet<br/>2801<br/>88%</td><td colspan="4">268<br/>96%</td><td colspan="4">177<br/>94%</td><td colspan="4">78<br/>44%</td><td colspan="4">237<br/>86%</td><td colspan="4">76<br/>34%</td><td colspan="4">133<br/>66%</td><td colspan="4">95<br/>5%</td></tr>
<tr><td colspan="4"></td><td>a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quota or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE21 (QESA): SHOWCARD Which, if any, of these do you use the internet for? (MULTI CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<td></td>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MIDLANDS</td>
<td>EAST OF ENGLAND</td>
<td>YORKSHIRE AND THE HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES NO</td>
<td>LOW MEDIUM HIGH</td>
</tr>
<tr>
<td></td>
<td></td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Significance Level: 95%</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Unweighted total</td>
<td>3100</td>
<td>233 221 216</td>
<td>208 204 213</td>
<td>202 193 209</td>
<td>2267 833 1322</td>
<td>1771 1514</td>
<td>1586</td>
</tr>
<tr>
<td>Effective Weighted Sample</td>
<td>2128</td>
<td>208 209 207</td>
<td>195 189 202</td>
<td>188 179 193</td>
<td>1765 389 1237</td>
<td>920 1056</td>
<td>1097</td>
</tr>
<tr>
<td>Total</td>
<td>2332</td>
<td>319 321 200</td>
<td>161 197 221</td>
<td>188 89 259</td>
<td>2014 317 1488</td>
<td>837 1275</td>
<td>1057</td>
</tr>
Communicating via instant messaging e.g. Facebook Chat, MSN Messenger, Skype
Chat, Snapchat
To find information on health related issues
Finding/ downloading information for work/business
Accessing news
<table border="1">
<thead><tr><th></th><th colspan="4">ENGLAND REGIONS URBANITY WORKING DEPRIVATION LEVEL</th><th>MEDIUM HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW HIGH LOW高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低高低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于低于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高于高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地高地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地地位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位位为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例为例例如例例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例如例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子的例子.
OFCOM NATIONS & REGIONS TRACKER - MAIN SET - H1 2016. 4th January to 29th February 2016.
All data have been weighted to ensure they are representative of the UK adult population. Ofcom does not quote or weight by household income, so it may not be representative of the UK population, but it is included for reasons of interest. Any break column with a base size lower than 100 has been removed as margins of error become too great. Data is tested at the 95% confidence level.
QE21 (QE5A): SHOWCARD Which, if any, of these do you use the internet for? (MULTI-CODE)
Base: Those who use the internet at home or elsewhere
<table>
<thead>
<tr>
<td></td>
<td></td>
<td colspan="3">ENGLAND REGIONS</td>
<td colspan="3">URBANITY</td>
<td colspan="3">WORKING</td>
<td colspan="3">DEPRIVATION LEVEL</td>
</tr>
<tr>
<td>Total</td>
<td>LONDON</td>
<td>SOUTH EAST</td>
<td>SOUTH WEST</td>
<td>EAST MID</td>
<td>EAST OF ENG</td>
<td>YORKSHIRE & HUMBER</td>
<td>NORTH EAST</td>
<td>NORTH WEST</td>
<td>URBAN</td>
<td>RURAL</td>
<td>YES</td>
<td>NO</td>
<td>LOW</td>
<td>MEDIUM HIGH</td>
</tr>
<tr>
<td>Significance Level: 95%</td>
<td>a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A B C D E F G H I J K L M N O P Q R S T U V W X Y З
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0754-pdf
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NOTE: ALL STEEL SIZES TO BE CONFIRMED BY THE ENGINEER.
<img>Grid Plan with Steel Beams and Columns</img> \<page_number>1\</page_number> \<page_number>2\</page_number> \<page_number>3\</page_number> \<page_number>4\</page_number> \<page_number>5\</page_number>
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**GRID PLAN**
FLOOR PLAN
TYPICAL SIDE SECTION (GRID LINE D)
( SCALE 1:50 )
FOR CUSTOMERS ONLY
<table><thead><tr><th>Scale</th><th>Description of Line(s)</th><th>Date</th><th>Date of Drawing Approval by National Trust (if applicable)</th></tr></thead><tbody><tr><td>S-1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:50 - 1:</td><td>NATIONAL TRUST<br/>Drawing Type<br/>AutoCAD<br/></td><td>Drawing No.<br/>IDDS-26/26-746<br/></td></tr></tbody></table>
NATIONAL TRUST Drawing No. IDDS-26/26-746
HEYRIDGE FARM FLORPLAN
Date JUN.26.27
BLU
Circumferential Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale Scale
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.</img>
<img>Typical Side Section (Grid Line D) showing steel beams and columns.</img>
<img>Floor Plan showing grid lines and dimensions.
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HM REVENUE & CUSTOMS HOSPITALITY REGISTER 1 July 2017 – 30 September 2017
Accompanied by spouse, family members(s) or friend(s)
<table>
<thead>
<tr>
<th>Senior Official (SC52 and above)</th>
<th>Date</th>
<th>Person or organisation that offered hospitality</th>
<th>Type of hospitality received</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Mary Aston</td>
<td>Director of Wealthy and Mid-sized Business Compliance</td>
<td>06 July 2017 Chartered Institute of Taxation</td>
<td>Drinks and canapes</td>
<td>No</td>
</tr>
<tr>
<td>Gill Allen</td>
<td>Director of Corporate Strategy</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Jon Aitton</td>
<td>Director of Security and Information</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Rudolf Ayala</td>
<td>Director, People and Organisation Development</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Ahke Baker</td>
<td>Director, Customer Experience</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Joanna Baskewn</td>
<td>Non-Executive Director</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Mary Butler</td>
<td>Director, Customer Service for the Future</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Eliane Benn</td>
<td>Director Central Customer Directivity and Audit</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Akson Benjaminszky</td>
<td>Director HR Operations</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Selean Boyd</td>
<td>Director of Estates</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Cand Bristow</td>
<td>Indivduals Fostery Director</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Dorothy Bowes</td>
<td>Director of Customer Success</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>David Bunting</td>
<td>Director Border Co-ordination and Performance Management</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Barr Claudius Daukesijs</td>
<td>Director Workforce Management</td>
<td></td>
<td>Nil return</td>
<td></td>
</tr>
<tr>
<td>Ravi Chandi</td>
<td>Director Process Design and Excellence Management Group - Customer Compliance Group.</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Simon Claydon<br>Tim East<br>Columbus Programme Director<br>Tim East<br>Columbus Programme Director<br>Tim East<br>Columbus Programme Director<br>Kevan Fletcher<br>Director Knowledge, Analysis & Intelligence<br>Kooy Fischler<br>Head of Operational Litigation Division<br>Sarun Gomes<br>Peter Grant<br>Nigel Green<br>Jam Harris<br>John Harrison<br>Joshua Horsley<br>Vicky Hornby<br>Davie Hughes<br>Wee Looi<br>Angela MadDonnell<br>Klara Mayerová<br>Brigid McSlois<br>Raphael Meldrum<br>Theresa Middleton<br>Sinaad Murray<br>Patrick Nunn<br>Lucy Piers<br>Mike Potter<br>David Richardson<br>Director of Digital Transformation (from 5 August 2017)</table>
<table style="width:100%;">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th>Date</th>
<th>Type of hospitality received</th>
<th>Description of hospitality received (if applicable)</th>
<table>
<thead>
<tr>
<td>Simon Ricketts</td>
<td>Non-Executive Director</td>
<td>Nil return</td>
</tr>
<tr>
<td>Paul Riley</td>
<td>Director of Tax Strategy and Professionalism</td>
<td>Nil return</td>
</tr>
<tr>
<td>Joanna Rowland</td>
<td>Director of Making Tax Digital for Individuals</td>
<td>Nil return</td>
</tr>
<tr>
<td>Pete Schofield</td>
<td>Director of Development, Testing and Operations</td>
<td>Nil return</td>
</tr>
<tr>
<td>Alex Haworth</td>
<td>Director of Corporate Communications International</td>
<td>06 July 2017 Chartered Institute of Taxation<br>Dinner and canapes<br>No</td>
</tr>
<tr>
<td>Mike Shipp</td>
<td>Director of Charge, Assurance and Investment Finance and Risk Management Compliance</td>
<td>Nil return</td>
</tr>
<tr>
<td>Walter Sturrock</td>
<td>Director of Flexible Policy Development</td>
<td>Nil return</td>
</tr>
<tr>
<td>Kerrie Sprattel</td>
<td>Business Customer and Strategy Director</td>
<td>Nil return</td>
</tr>
<tr>
<td>Ruth Stariker</td>
<td>Director of Corporate Tax</td>
<td>Nil return</td>
</tr>
<tr>
<td>Poli Stuart-Lacey</td>
<td>Director of Corporate Communications</td>
<td>Nil return</td>
</tr>
<tr>
<td>Melissa Thomas</td>
<td>Director of Small & Local Business Compliance</td>
<td>Nil return</td>
</tr>
<tr>
<td>Jane Taylor</td>
<td>CDIO Finance Director</td>
<td>Nil return</td>
</tr>
<tr>
<td>Jon Thompson</td>
<td>Chief People Officer<br>Director Individuals & Small Business Compliance<br>Edward Troup<br>Executive Chair<br>Eduard Troup<br>Jo Wakeman<br>Lead Director Large Business<br>Mervyn Yorke<br>Liam Yorke<br>Esther Walton<br>Slovo Walters<br>Helen Williams<br>Hannah Williams<br>Karen Wheeler<br>Jubie Whiting<br>Jane Whitaker<br>Pamela Whitmore<br>Mark Wilson<br>Simon York<br>Slovo Walters<br>Helen Williams<br>Hannah Williams<br>Karen Wheeler<br>Jubie Whiting<br>Jane Whitaker<br>Pamela Whitmore<br>Mark Wilson<br>Simon York)</td>
<td>14 September 2017 Institute of Chartered Accountants in England and Wales Budget support<br>26-29 September 2017 Forum on Tax Administration (Plenary meeting in Dublin) FTA Official FTA Bureau and FTA Official No<br>06 July 2017 Chartered Institute of Taxation Drinks and canapes No<br>14 September 2017 McKinsey Dinner No<br>Nil return No return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return Nil return nil
|
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2465-pdf
|
<img>Ministry of JUSTICE logo</img>
# Employment Tribunals and EAT Statistics, 2011-12
1 April 2011 to 31 March 2012
20 September 2012 Alternative format versions of this report are available on request from Ministry of Justice by emailing statistics.enquiries@justice.gsi.gov.uk
© Crown copyright Produced by the Ministry of Justice
# Contents
| Section | Page | |------------------------------------------------------------------------|------| | Introduction | 4 | | Key Findings | 5 | | Tables | 8 | | Explanatory Notes | 16 | | Data quality and sources | 17 | | Definitions | 18 | | Table conventions | 20 |
## Tables
**Table 1 Claims Accepted by Employment Tribunals, 2008-09 to 2011-12.**
**Table 2 Employment Tribunals Disposals and Outcomes by Jurisdiction, 2008-09 to 2011-12.**
**Table 3 Details of Unfair Dismissal Claims Disposed of at a Hearing, 2011-12.**
**Table 4 Representation of Claimants at Employment Tribunals, 2008-09 to 2011-12.**
**Table 5 Compensation Awarded by Tribunals, cases with Unfair Dismissal jurisdiction, 2011-12.**
**Table 6 Compensation Awarded by Tribunals, cases with Race Discrimination jurisdiction, 2011-12.**
**Table 7 Compensation Awarded by Tribunals, cases with Sex Discrimination jurisdiction, 2011-12.**
**Table 8 Compensation Awarded by Tribunals, cases with Disability Discrimination jurisdiction, 2011-12.**
**Table 9 Compensation Awarded by Tribunals, cases with Religious Discrimination jurisdiction, 2011-12.**
**Table 10 Compensation Awarded by Tribunals, cases with Sexual Orientation Discrimination jurisdiction, 2011-12.**
**Table 11 Compensation Awarded by Tribunals, cases with Age Discrimination jurisdiction, 2011-12.**
**Table 12 Costs Awarded in Employment Tribunals Cases, 2011-12.**
**Table 13 Summary of Receipts and Disposals at EAT, 2011-12.**
**Table 14 Cases Dealt with at Preliminary Hearings at EAT, 2011-12.**
**Table 15 Appeals Disposed of by EAT at a full hearing, 2011-12.**
**Table 16 EAT Appeals Withdrawn, 2011-12.**
# Introduction
This report presents information on Employment Tribunals (ET) and Employment Appeal Tribunal (EAT) activity for the period 1 April 2011 to 31 March 2012. It is the third time that this information has been published as Official Statistics. Key Findings are on page 4 with definitions and background information on page 11.
Historic copies of this report are available on the Ministry of Justice website at www.justice.gov.uk/statistics/tribunals/employment-tribunal-and-eat-statistics-gb
Annual Tribunal Statistics for 2011-12 and Quarterly Tribunal Statistics for all four quarters of 2010-11 and 2011-12 are available at: www.justice.gov.uk/statistics/tribunals/annual-stats and www.justice.gov.uk/statistics/tribunals/quarterly Key Findings
The employment tribunals are independent judicial bodies which determine disputes between employers and employees over employment rights.
**Claims Received** There were 186,300 claims accepted by employment tribunals (ETs) during 2011-12 (1 April 2011 to 31 March 2012), a 15% fall on the number received in the previous year, and 21% lower than the number in 2009-10.
Single claims are those brought by an individual against an employer (the respondent). Each single claim is processed administratively, and managed and heard judicially on its own. Multiple claims are those where two or more people bring claims usually against a single employer (but not necessarily so) arising from the same or similar circumstances. Importantly, multiple claims are processed, managed and heard together in their multiple grouping.
In 2011-12 there were 59,200 single claims accepted (down by 2% on the previous year) and 127,100 multiple claims accepted (a fall of 19% on the number in 2010-11). The multiple claims were grouped into 5,200 actions, or ‘multiple claim cases’. This is a reduction on the 5,900 in 2010-11 and continues a recent downward trend.
<img>Figure 1: Single and Multiple Accepted Claims, 2001-2 to 2011-12</img>
Note: Figures for 2007-08 are estimated. Source: ET Reports
Figure 1 shows the variation in single and multiple accepted claims (receipts) since 2000-01. It shows that the trend for multiple claims is erratic in nature and is affected by the large number of claims for specific jurisdictions. There has been a general upward trend, but since 2009-10 there has been a year-on-year decline. The number of single claims has been more steady and has been showing a downward trend over recent years.
**Claims Disposed of** Employment tribunals disposed of 110,800 claims during 2011-12, a fall of 10% when compared with the previous year, but in-line with the number of claims disposed of in 2009-10. The recent fall in disposals was seen in both single and multiple claims, with decreases of 6% and 14% respectively.
<sup>1</sup> The number of grouped collective disputes being litigated before Employment Tribunals. **Jurisdictional Complaints Received**
A claim to an employment tribunal can contain a number of different types of complaint, known as jurisdictional complaints. When deciding any claim, the tribunal has to make determinations under each jurisdiction. The total number of jurisdictional complaints accepted in 2011-12 was 321,800, 16% fewer than in 2010-11. Between 1 April 2011 and 31 March 2012, there were, on average, 1.73 jurisdictional complaints per claim. The ratio has varied since 2006-7, but generally increased.
Of the 321,800 jurisdictional claims received in 2011-12, 31% were for Unfair dismissal, breach of contract and redundancy; 29% were concerning Working Time Regulations (largely airline cases that are resubmitted every three months), and 16% were for unauthorised deductions (Wages Act).
**Jurisdictional Complaints Disposed of**
In 2011-12, employment tribunals disposed of 230,000 jurisdictional complaints, 6% fewer than in 2010-11. This fall was reflected in all jurisdictions except Disability Discrimination, Age Discrimination and Breach of Contract which had increases of 7%, 5% and 1% respectively.
Of the 230,000 jurisdictional complaints disposed of in 2011-12:
- 33% were Acas conciliated (an increase of 4 percentage points on the proportion, when compared with last year);
- 27% were withdrawn (5 percentage points lower than in 2010-11);
- 13% were struck out;
- and 27% were disposed of at hearing (with 12% successful at a tribunal, 7% unsuccessful, 2% dismissed at a preliminary hearing and 6% disposed of via a Default judgment).
**Workload Outstanding**
At 31 March 2012, the workload outstanding for employment tribunals (i.e. claims awaiting resolution) was 540,800, as compared with 484,300 at 31 March 2011. The vast majority of those were multiple claims – 514,300 in all. Multiple claims are often legally and factually complex and it is common for action on such claims to be deferred (or ‘stayed’, for example pending the outcome of proceedings in appellate courts/tribunals on case management or other interim matters). This means that such claims are not yet ready to have a final hearing in the employment tribunal, and so the claim cannot be progressed to disposal.
The outstanding workload at 31 March 2012 includes more than 200,000 resubmitted airline Working Time Regulations claims with approximately 15% of these claims also having a Wages Act component. It also includes a number of Equal Pay claims (brought primarily against Local Authorities and the NHS).
Between 2010-11 and 2011-12, there was a decrease in the number of single claims outstanding of 7%, continuing a downward trend seen since 2009-10.
**Employment Appeal Tribunal**
The main function of the Employment Appeal Tribunal (EAT) is to hear appeals from decisions made by employment tribunals. An appeal must be on a point of law, i.e. it must identify flaws in the legal reasoning of the original decision. In 2011-12, the Employment Appeal Tribunal (EAT) received 2,170 appeals and disposed of 2,220 appeals. This compares with 2,050 receipts and 2,000 disposals in 2010-11.
In EAT, 510 appeals were disposed of at a full hearing, as compared with 360 in 2010-11.
# Tables
**Table 1: Claims Accepted by Employment Tribunals**
<table>
<thead>
<tr>
<th></th>
<th colspan="3">April to March</th>
</tr>
<tr>
<th></th>
<th>2009-10</th>
<th>2010-11</th>
<th>2011-12</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Total Claims Accepted<sup>2</sup></strong></td>
<td><strong>236,100</strong></td>
<td><strong>218,100</strong></td>
<td><strong>186,300<sup>3</sup></strong></td>
</tr>
<tr>
<td><strong>Total Claims Initially Rejected</strong></td>
<td>4,100</td>
<td>1,400</td>
<td>1,300</td>
</tr>
<tr>
<td><strong>Of the total, those that were resubmitted and subsequently accepted</strong></td>
<td>1,300</td>
<td>210</td>
<td>230</td>
</tr>
<tr>
<td><strong>Of the total, those that were resubmitted and not accepted or never resubmitted</strong></td>
<td>2,800</td>
<td>1,100</td>
<td>1,100</td>
</tr>
<tr>
<td><strong>Jurisdiction Mix of claims accepted:</strong></td>
<td colspan="3"></td>
</tr>
<tr>
<th>NATURE OF CLAIM</th>
<th>2009-10</th>
<th>2010-11</th>
<th>2011-12</th>
</tr>
<tr>
<td>Unfair dismissal<sup>4</sup></td>
<td>57,400</td>
<td>47,900</td>
<td>46,300</td>
</tr>
<tr>
<td>Unauthorized deductions (Formerly Wages Act)</td>
<td>75,500</td>
<td>71,300</td>
<td>51,200</td>
</tr>
<tr>
<td>Breach of contract</td>
<td>42,400</td>
<td>34,600</td>
<td>32,100</td>
</tr>
<tr>
<td>Sex discrimination</td>
<td>18,200</td>
<td>18,300</td>
<td>18,800</td>
</tr>
<tr>
<td>Working Time Directive<sup>5</sup></td>
<td>95,200</td>
<td>116,100</td>
<td>94,700</td>
</tr>
<tr>
<td>Rent discrimination<sup>6</sup></td>
<td>19,400</td>
<td>15,650</td>
<td>9,770</td>
</tr>
<tr>
<td>Disability discrimination</td>
<td>7,500</td>
<td>7,200</td>
<td>7,700</td>
</tr>
<tr>
<td>Redundancy – failure to inform and consult with employees about redundancy proposals (including redundancy payments)</td>
<td>7,500</td>
<td>7,400</td>
<td>8,800</td>
</tr>
<tr>
<td>Equal pay</td>
<td>37,400</td>
<td>34,600</td>
<td>28,800</td>
</tr>
<tr>
<td>Race discrimination</td>
<td>5,700</td>
<td>5,000</td>
<td>4,800</td>
</tr>
<tr>
<td>Written statement of terms and conditions of employment (including unfair dismissal)</td>
<td>4,700</td>
<td>4,365</td>
<td>3,695</td>
</tr>
<tr>
<th colspan="3">Written statement of reasons for dismissal and transfer of undertakings (including unfair dismissal)</th><th colspan="3">Transfer of an undertaking - failure to inform and consult with employees about the transfer of an undertaking (including unfair dismissal)</th><th colspan="3">Suffer a detriment / unfair dismissal - pregnancy<sup>7</sup></th><th colspan="3">Part Time Workers Regulations 2016 (including unfair dismissal)</th><th colspan="3">Discrimination on grounds of Religion or Belief (including unfair dismissal)</th><th colspan="3">Discrimination on grounds of Sexual Orientation (including unfair dismissal)</th><th colspan="3">Age Discrimination (including unfair dismissal)</th><th colspan="3">Others (including unfair dismissal)</th><br/></tr><tr><th colspan="3">Total claims accepted (excluding transfers of undertakings and pregnancy)<br/>Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><th colspan="3">Total claims initially rejected<br/>Of the total that were resubmitted and subsequently accepted<br/>Of the total that were resubmitted and not accepted or never resubmitted<br/>Jurisdiction mix of claims accepted:</th><table>
<!-- Table data -->
<!-- Total Claims Accepted -->
<!-- Total Claims Initially Rejected -->
<!-- Of the total, those that were resubmitted and subsequently accepted -->
<!-- Of the total, those that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction Mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Unfair dismissal -->
<!-- Unauthorized deductions (Formerly Wages Act) -->
<!-- Breach of contract -->
<!-- Sex discrimination -->
<!-- Working Time Directive -->
<!-- Rent discrimination -->
<!-- Disability discrimination -->
<!-- Redundancy – failure to inform and consult with employees about redundancy proposals (including redundancy payments) -->
<!-- Equal pay -->
<!-- Race discrimination -->
<!-- Written statement of terms and conditions of employment (including unfair dismissal) -->
<!-- Written statement of reasons for dismissal and transfer of undertakings (including unfair dismissal) -->
<!-- Transfer of an undertaking - failure to inform and consult with employees about the transfer of an undertaking (including unfair dismissal) -->
<!-- Suffer a detriment / unfair dismissal - pregnancy<sup>7</sup> -->
<!-- Part Time Workers Regulations 2016 (including unfair dismissal) -->
<!-- Discrimination on grounds of Religion or Belief (including unfair dismissal) -->
<!-- Discrimination on grounds of Sexual Orientation (including unfair dismissal) -->
<!-- Age Discrimination (including unfair dismissal) -->
<!-- Others (including unfair dismissal) -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
<!-- Nature of claim data -->
<!-- Total claims initially rejected -->
<!-- Of the total that were resubmitted and subsequently accepted -->
<!-- Of the total that were resubmitted and not accepted or never resubmitted -->
<!-- Jurisdiction mix of claims accepted -->
end table \\end{table}
\\begin{table}
<thead>
<tr>
<th></th>
<th>April to March
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr>
<td></table>
<table>
<tr
Table 2: Employment Tribunal Cases disposed and outcomes of jurisdictions in 2011-12¹
<table>
<thead>
<tr>
<td></td>
<td colspan="3">2009-10</td>
<td colspan="3">2010-11</td>
<td colspan="3">2011-12</td>
</tr>
<tr>
<td>Total Claims Disposed</td>
<td colspan="3">112,400</td>
<td colspan="3">122,800</td>
<td colspan="3">110,800</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="9" style="text-align:center;">JURISDICTIONAL MIX OF TOTAL CLAIMS DISPOSED April 2011 to March 2012</td>
</tr>
<tr>
<td>NATURE OF CLAIM</td>
<td>JURISDICTIONS DISPOSED</td>
<td>WITHDRAWN</td>
<td>ACAS CONCILIATED SETTLEMENTS</td>
<td colspan="5">STRUCK OUT (NOT AT A HEARING)²</td>
</tr>
<tr>
<td></td>
<td>No.</td>
<td>No.</td>
<td>%</td>
<td>No.</td>
<td>%</td>
<td>No.</td>
<td>%</td>
<td>%</td>
</tr>
<tr>
<td>Unfair dismissal</td>
<td>46,100<br>36,200<br>7,900<br>2,700<br>14,700<br>4,700<br>7,300<br>590<br>3,800<br>23,800<br>520<br>22,300</td>
<td>11,300<br>9,500<br>6,600<br>2,700<br>4,900<br>1,400<br>2,300<br>170<br>5,400<br>10,300<br>140<br>5,400</td>
<td>24<br>26<br>9,900<br>21<br>33<br>37<br>29<br>252<br>237<br>44<br>178<br>24</td>
<td>19,500<br>9,900<br>11,100<br>2,300<br>4,500<br>1,700<br>3,366<br>252<br>7588<br>8,800<br>371<br>6,500</td>
<td><u style="color:red;">42</u><br><u style="color:red;">9</u><br><u style="color:red;">56</u><br><u style="color:red;">9</u><br><u style="color:red;">85</u><br><u style="color:red;">7</u><br><u style="color:red;">9</u><br><u style="color:red;">56</u><br><u style="color:red;">9</u><br><u style="color:red;">85</u><br><u style="color:red;">7</u><br><u style="color:red;">9</u><br><u style="color:red;">56</u></td>
</tr>
<tr>
<td>Wages Act</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Breach of contract</td>
<td></td>
<table border="1">
<thead>
<tr><th></th><th>%</th></th></tr></thead>
<tbody><tr><th></th><th>%<br>No.</th></tr><tr><th></th><th>No.</th></tr></tbody></table>
<tbody><tr><th></th><th>%<br>No.</th></tr><tr><th></th><th>No.</th></tr></tbody></table> <table border="1">
<thead>
<tr><th></th><th>%<br>No.</th></tr></thead>
<tbody><tr><th></th><th>%<br>No.</th></tr><tr><th></th><th>No.</th></tr></tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table> </tbody></table>&nb
Table 3: All Unfair Dismissal Jurisdictional Complaints Disposed of at a Hearing<sup>11</sup>
<table>
<tr>
<td></td>
<td>Number</td>
<td>Percentage of unfair dismissal cases proceeding to a hearing</td>
<td>Percentage of all unfair dismissal cases disposed of</td>
</tr>
<tr>
<td>Cases dismissed</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>At a Preliminary Hearing</td>
<td>1,300</td>
<td>12</td>
<td>3</td>
</tr>
<tr>
<td>Unsuccessful at hearing</td>
<td>4,800</td>
<td>43</td>
<td>10</td>
</tr>
<tr>
<td>All cases dismissed</td>
<td>6,200</td>
<td>55</td>
<td>13</td>
</tr>
<tr>
<td>Cases upheld</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Reinstatement or reengagement</td>
<td>5</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Remedy to parties</td>
<td>120</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<td>Compensation</td>
<td>2,300</td>
<td>21</td>
<td>5</td>
</tr>
<tr>
<td>No award made</td>
<td>2,600</td>
<td>23</td>
<td>6</td>
</tr>
<tr>
<td>All cases upheld</td>
<td>5,100</td>
<td><u style="text-decoration: underline;">45</u></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th></th><br><u style="text-decoration: underline;">11</u></th/></table>
<table id='table_4'>
<thead id='table_4__header'>
<tr id='table_4__header_row'>
<thead id='table_4__header_column'>
<thead id='table_4__header_column_0' colspan='3'>Represented by:</thead>
</thead>
<!-- Table header -->
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<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
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<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
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<!-- Table header -->
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<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
<!-- Table header -->
**Table 5: Compensation awarded by Tribunals – cases with Unfair Dismissal jurisdictions**¹⁷
<table>
<thead>
<tr>
<th></th>
<th>No.</th>
<th>%</th>
<th>No.</th>
<th>%</th>
</tr>
</thead>
<tbody>
<tr>
<td><£500</td>
<td>227</td>
<td>70%</td>
<td>130</td>
<td>6%</td>
</tr>
<tr>
<td>£500-£999</td>
<td>178</td>
<td>8%</td>
<td>100</td>
<td>4%</td>
</tr>
<tr>
<td>>£999</td>
<td>125</td>
<td>5%</td>
<td></td>
<td></td>
</tr>
<tr>
<td>£1,000-£1,999</td>
<td>292</td>
<td>13%</td>
<td></td>
<td></td>
</tr>
<tr>
<td>£2,000-£2,999</td>
<td>199</td>
<td>9%</td>
<td>140</td>
<td>6%</td>
</tr>
<tr>
<td>£3,000-£3,999</td>
<td>177</td>
<td>8%</td>
<td>65</td>
<td>3%</td>
</tr>
<tr>
<td>£4,000-£4,999</td>
<td>132</td>
<td>6%</td>
<td>34</td>
<td>1%</td>
</tr>
<tr>
<td>>£4,999</td>
<td></td>
<td></td>
<td>49</td>
<td>2%</td>
</tr>
<tr>
<td>£5,000-£5,999</td>
<td>103</td>
<td>4%</td>
<td>All</td>
<td>2,309</td>
<td>100%</td>
</tr>
<tr>
<td>£6,000-£6,999</td>
<td>108</td>
<td>5%</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>>£6,999</td>
<td></td>
<td></td><br><strong>Maximum award¹⁸</strong><br><strong>$173,408</strong><br><strong>Median award</strong><br><strong>$4,560</strong><br><strong>Average award</strong><br><strong>$9,133</strong><br></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table>
\*\*Table 6: Compensation awarded by Tribunals – cases with Race Discrimination jurisdictions,\*\*¹⁹
<table border="1">
<thead border="1">
<tr border="1">
<th>No.</th>
<th>%</th>
<th>No.</th>
<th>%</th>
</tr>
</thead><tbody border="1">
<tr border="1">
<td><£500<br><£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£999<br>>£999<br>>£500-£<page_number>173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,408$<page_number>$4,560$<page_number>$173,4
Table 7: Compensation awarded in Tribunals – cases with Sex Discrimination jurisdictions¹⁹
<table>
<thead>
<tr>
<td>No.</td>
<td>%</td>
<td>No.</td>
<td>%</td>
</tr>
</thead>
<tbody>
<tr>
<td><£500</td>
<td>0</td>
<td>0%</td>
<td>£10,000-£12,499</td>
<td>18</td>
<td>17%</td>
</tr>
<tr>
<td>£500-£999</td>
<td>6</td>
<td>4%</td>
<td>£12,500-£14,999</td>
<td>9</td>
<td>3%</td>
</tr>
<tr>
<td>>£15,000-£19,999</td>
<td></td>
<td></td>
<td>£15,000-£19,999</td>
<td>11</td>
<td>7%</td>
</tr>
<tr>
<td><£1,000-£1,999</td>
<td>15</td>
<td>9%</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>£2,000-£2,999</td>
<td>11</td>
<td>7%</td>
<td>£20,000-£29,999</td>
<td>15</td>
<td>9%</td>
</tr>
<tr>
<td>£3,000-£3,999</td>
<td>12</td>
<td>7%</td>
<td>£30,000-£39,999</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<td>>£4,000-£4,999</td>
<td>6</td>
<td>4%</td>
<td>£40,000-£49,999</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<td><£5,000-£5,999</td>
<td>15</td>
<td>9%</td>
<td>>£50,000+</td>
<td>4</td>
<td>2%</td>
</tr>
<tr>
<td>>£6,000-£6,999</td>
<td>21</td>
<td>13%</td>
<td>All</td>
<td>166</td>
<td>100%</td>
</tr>
<tr>
<td><£7,000-£7,999</td>
<td>11</td>
<td>7%</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>> £8, 764<br>
<<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th>No.</th>
<th>%<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"></th></table></th></tr></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table></th></tbody></table>
Table: Compensation awarded by Tribunals – cases with Disability Discrimination jurisdictions¹⁹
<table cellspacing="none" border="none">
<thead style="text-align:center;">
<tr style="text-align:center;">
<th>No.</th>
<th>%<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"></th></table></th></tr></tbody></table></th></thead>
<tbody style="text-align:center;">
<tr style="text-align:center;">
<<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
<tbody style="text-align:center;">
<tr style="text-align:center;">
<th style="border-bottom: solid black;"><<table cellspacing="none" border="none">
</tbody>
```
</thead>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
</body>
</div>
</tfoot>
)<table cellspacing="" border="">
<tbody style=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class=""><tr class=""><<th colspan="">No.</th colspan=""><th colspan="">%<table cellspacing="" border=""></thead>(<tbody class="">
<tfoot rowspan="">
<tr rowspan="">
<td rowspan="">
All
</td rowspan="">
<td rowspan="">
Maximum award
</td rowspan="">
<td rowspan="">
Median award
</td rowspan="">
<td rowspan="">
Average award
</td rowspan="">
</tfoot>>
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
<<img src="/images/table.png">
```
Table 9 Compensation awarded by Tribunals – case with Religious Discrimination jurisdictions¹⁹
<table>
<thead>
<tr>
<td>No.</td>
<td>%</td>
<td>No.</td>
<td>%</td>
</tr>
</thead>
<tbody>
<tr>
<td><£500</td>
<td>0</td>
<td>0%</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<td>£500-£999</td>
<td>1</td>
<td>10%</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<td>£1,000-£1,999</td>
<td>2</td>
<td>20%</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<td>£2,000-£2,999</td>
<td>1</td>
<td>10%</td>
<td>0</td>
<td>0%</td>
</tr>
<tr>
<td>£3,000-£3,999</td>
<td>1</td>
<td>10%</td>
<td>1</td>
<td>10%</td>
</tr>
<tr>
<td>£4,000-£4,999</td>
<td>0</td>
<td>0%</td>
<td>2</td>
<td>20%</td>
</tr>
<tr>
<td>£5,000-£5,999</td>
<td>2</td>
<td>20%</td>
<td>All</td>
<td>10</td>
<td>100%</td>
</tr>
<tr>
<td>£6,000-£6,999</td>
<td>0</td>
<td>0%</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>E7,000-E7,999</td>
<td>0</td>
<td></td><td colspan="3">Maximum award £59,522</td>
</tr>
<tr>
<td>E8,000-E8,999</td>
<td>0</td>
<td></td><td colspan="3">Median award £4,267</td>
</tr>
<tr>
<td>E9,000-E9,999</td>
<td>0</td><td></td><td colspan="3">Average award £16,725</td>
</tr>
</tbody>
</table>
Table 10 Compensation awarded by Tribunals – case with Sexual Orientation Discrimination jurisdictions¹⁹
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th>No.</th><th>%<br> </th><th>No.</th><th>%<br> </th></tr></thead><tbody style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<td><£500<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£999<br><£500-£<br/></tr><tr style="background-color:#f2f2f2;">
<td></td><td></td><td></td><td></td></tr><tr style="background-color:#f2f2f2;">
<td></td><td></td><td></td><td></td></tr><tr style="background-color:#f2f2f2;">
<td></td><td></td><td></td><td></td></tr><tr style="background-color:#f2f2f2;">
<td></td><td></td><td></td><td></td></tr><tr style="background-color:#f2f2f2;">
<td></td><td></td><td></td><td></td></tr><tr style="background-color:#f2f2f2;">
<td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsdsssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s<s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=<s=
Table 12: Costs awarded in Employment Tribunals cases<sup>20</sup>
<table>
<thead>
<tr>
<th>COSTS TO</th>
<th>No. OF CASES Awarded to Claimant</th>
<th>COSTS TO</th>
<th>No. OF CASES Awarded to Claimant</th>
<th>Awarded to Respondent</th>
<th>Awarded to Respondent</th>
</tr>
</thead>
<tbody>
<tr>
<td>< £200<sup>21</sup></td>
<td>9</td>
<td>829</td>
<td>£6,001-£8,000</td>
<td>6</td>
<td>23</td>
</tr>
<tr>
<td>£201-£400</td>
<td>6</td>
<td>40</td>
<td>£8,001-£10,000</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<td>£401-£600</td>
<td>8</td>
<td>77</td>
<td>£10,000+</td>
<td>10</td>
<td>38</td>
</tr>
<tr>
<td>£601-£800</td>
<td>8</td>
<td>21</td>
<td>All</td>
<td>116</td>
<td>1,295</td>
</tr>
<tr>
<td>£801-£1000</td>
<td>10</td>
<td>39</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>£1,001-£2,000</td>
<td></td>
<td></td>
<td><strong>Maximum award<sup>22</sup></strong></td>
<td></td>
<td><strong>£36,466</strong></td>
</tr>
<tr>
<td>£2,001-£4,000</td>
<td>24</td>
<td>72</td>
<td><strong>Median award<sup>23</sup></strong></td>
<td></td>
<td><strong>£5</strong></td>
</tr>
<tr>
<td>£4,001-£6,000</td>
<td>22</td>
<td>98</td>
<td><strong>Average award<sup>24</sup></strong></td>
<td></td>
<td><strong>£1,292</strong></td>
</tr>
<tr>
<td></td>
<td>10</td>
<td>54</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
Table 13: Summary of Receipts and Disposals at EAT
<table border="1">
<tr style="background-color: #f5f5f5;">
<th colspan="2">Appeals Received<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><hr/></th>
</tr>
<tr style="background-color: #f5f5f5;">
<th colspan="2"><strong>Appeals Disposed<br></strong></th>
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: right;">Total disposed<br/><hr/></th>
```
<th style="text-align: right;"><strong>2,217<br/><hr/></strong></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Rejected – out of time<br/><hr/></th>
```
<th style="text-align: right;">283<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Rejected due to reasonable prospect of success<br/><hr/></th>
```
<th style="text-align: right;">1,646<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Withdrawn prior to registration<br/><hr/></th>
```
<th style="text-align: right;">179<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Withdrawn after registration<sup>25</sup>,<hr/></th>
```
<th style="text-align: right;">128<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Struck out<br/><hr/></th>
```
<th style="text-align: right;">26<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Dismissed at preliminary hearing<sup>36</sup>,<hr/></th>
```
<th style="text-align: right;">55<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th style="text-align: left;">Disposed at full hearing<sup>37,</sup>,<hr/></th>
```
<th style="text-align: right;">566<br/><hr/></th>
```
</tr>
<tr style="background-color: #f5f5f5;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></th>
</tr>
<tr style="background-color: #e6e6e6;">
<th colspan="2" style="border-top: 1px solid black;"><hr/></thal
Table 14: Cases dealt with at preliminary hearings by EAT
<table>
<tr>
<td></td>
<td>Brought by employers</td>
<td>Brought by employees</td>
<td>All</td>
</tr>
<tr>
<td>Dismissed at hearing</td>
<td>8</td>
<td>47</td>
<td>55</td>
</tr>
<tr>
<td>Allowed to full hearing</td>
<td>29</td>
<td>71</td>
<td>100</td>
</tr>
<tr>
<td>All</td>
<td>37</td>
<td>118</td>
<td>155</td>
</tr>
</table>
Table 15: Appeals disposed of by EAT at a full hearing
<table>
<tr>
<td></td>
<td>Brought by employers</td>
<td>Brought by employees</td>
<td>All</td>
</tr>
<tr>
<td>Dismissed at hearing</td>
<td>85</td>
<td>154</td>
<td>239</td>
</tr>
<tr>
<td>Allowed</td>
<td>59</td>
<td>49</td>
<td>108</td>
</tr>
<tr>
<td>Allowed & remitted</td>
<td>58</td>
<td>101</td>
<td>159</td>
</tr>
<tr>
<td>All</td>
<td>202</td>
<td>304</td>
<td>506</td>
</tr>
</table>
Table 16: Appeals withdrawn
<table>
<tr>
<td></td>
<td>Brought by employers</td>
<td>Brought by employees</td>
<td>All</td>
</tr>
<tr>
<td>Withdrawn before Preliminary hearing</td>
<td>11</td>
<td>11</td>
<td>22</td>
</tr>
<tr>
<td>Withdrawn before Full hearing</td>
<td>54</td>
<td>52</td>
<td>106</td>
</tr>
<tr>
<td>All</td>
<td>65</td>
<td>63</td>
<td>128</td>
</tr>
</table>
**Explanatory Notes**
**Cases not on Employment Tribunals IT System**
Multiple Airline cases are resubmitted every three months and are included in the counts of receipts and caseload outstanding. These cases include the jurisdictions Working Time Directive (Annual Leave) and Unauthorised Deductions (Formerly Wages Act). During 2011-12, 27,300 claims (12,900 for Quarter 3 and 14,400 for Quarter 4) for this jurisdiction were not input to the Employment Tribunals IT system at the time of receipt. They have however been recorded within the overall number of receipts, received jurisdictional complaints and caseload outstanding figures for 2011-12. **Data quality and sources**
Information presented in this report is management information drawn from a number of administrative sources. Although care is taken when processing and analysing the data, the details are subject to inaccuracies inherent in any large-scale recording system and it is the best data that is available at the time of publication. HMCTS is examining the quality of management information. Thus, it is possible that some revisions may be issued.
**Revisions**
Some statistics were correct at the time of publication but have been revised following data quality checks or reconciliation. These values have been marked as ‘r’. **Definitions**
**Receipt** – Volumetric term covering the acceptance of a case by a HMCTS Tribunal.
**Disposal** – A disposal is the closure of a case when work has ceased to be done. This can be through a claim being withdrawn, settled, dismissed or being decided at a hearing.
**Workload outstanding** – The number of claims outstanding at the end of the period and still waiting to be dealt with to completion.
**Employment Appeal Tribunal** - The main function of the Employment Appeal Tribunal (EAT) is to hear appeals from decisions made by employment tribunals. An appeal must be on a point of law, i.e. it must identify flaws in the legal reasoning of the original decision. The Employment Appeal Tribunal will not normally re-examine issues of fact. It also hears appeals from (and applications relating to) decisions made by the Certification Officer or by the Central Arbitration Committee, however these are infrequent. The EAT may allow an appeal and substitute its own decision for that of the Employment Tribunal, or may remit it back to an employment tribunal for reconsideration.
Appeals from EAT decisions may be made to the Court of Appeal (in England & Wales) or Court of Session (in Scotland).
**ET Claim** – A claim presented to an employment tribunal by a claimant. It may be brought under one or more jurisdictions or subsequently amended or clarified in the course of proceedings, but will be counted only once.
**ET Single and Multiple Claims** – Claims to an employment tribunal may be classified into two broad categories – singles and multiples. Multiples are where two or more people bring claims, involving one or more jurisdiction(s) usually against a single employer but not necessarily so, for instance in TUPE cases, and always arising out of the same or very similar circumstances. As a multiple, the component claims are processed administratively, and managed and heard judicially together.
**ET Multiple Claim Cases** - the number of combined groupings or actions formed by component multiple claims. This will essentially equate to the number of grouped collective actions being litigated before the employment tribunals.
**ET Jurisdiction** – The employment tribunal powers to hear complaints are determined by legislation, with statutory provisions defining the ambit of the jurisdiction that can be covered by a claim to an employment tribunal.
**ET Jurisdictional mix** – A claim may contain a number of grounds, known as jurisdictional complaints. When deciding any claim, the tribunal has to make determinations under each jurisdiction, e.g. unfair dismissal and sex discrimination. The number of jurisdictional complaints within a claim can affect the true workload represented by that claim: the higher the ratio of complaints to a claim, the more complicated the work will generally be. The jurisdictions covered by ET are wide ranging, from discrimination and unfair dismissals to issues around salary and working conditions.
**Hearing** – The hearing is a meeting at which the tribunal panel considers evidence (either orally or paper based) and reaches a decision (where the decision may be to adjourn or to agree a final outcome). If the hearing is adjourned and restarted, it counts as one hearing.
Examples of hearings include:
- Paper hearings;
- Oral hearings;
- Case Management Discussions;
- Decision on Eligibility.
**Oral Hearing** – A hearing where the party (ies) and/or their representative(s) attend (this can be by telephone or by video conference).
**Withdrawal** – The applicant/claimant/appellant ceases action either before or at the hearing.
**Settlement** – Cases settled by Acas without the need for a hearing. A third party may have been involved in the process. **TABLE CONVENTIONS**
**Rounding** Figures in the tables are rounded independently and thus may not add to totals because of rounding. The following conventions have been used throughout:
- Values less than 100 remain as unit values.
- Values from 100 to 999 are rounded to the nearest 10.
- Values of 1,000 and over are rounded to the nearest hundred.
**Notation** The following symbols have been used throughout the tables in this bulletin:
- = Not applicable
- = Not available
- = Small Value
<table>
<tr><td>0</td><td>= Nil</td></tr>
<tr><td>(r)</td><td>= Revised data</td></tr>
<tr><td>(p)</td><td>= Provisional data</td></tr>
</table>
Contact points for further information
Spreadsheet files of the tables and graphs contained in this document are also available for download from this address.
Press enquiries should be directed to the Ministry of Justice press office:
Email: press.office@justice.gsi.gov.uk
Other enquiries about these statistics should be directed to:
**Ministry of Justice** Judicial Statistics Analytical Services 7th Floor 102 Petty France London SW1H 9AJ Email: statistics.enquiries@justice.gsi.gov.uk
General enquiries about the statistical work of the Ministry of Justice can be e-mailed to: statistics.enquiries@justice.gsi.gov.uk General information about the official statistics system of the UK is available from www.statistics.gov.uk
|
ENGLISH
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1243-pdf
|
A D MCCOWEN and S A WEST
DECISION
Mr Alex McCowen appeals against an assessment to income tax under Schedule E in respect of the year 1991 – 1992. Mr Sam West appeals against assessment to income tax under Schedule E in respect of the years 1990-91 and 91-92. The appeals were heard together since they give rise to the same or similar questions. The questions for determination in Mr McCowen’s appeal is whether amounts earned by him under the following engagements were emoluments from employments of Mr McCowen with the Theatre Managers who engaged him.
I. Engagement with Bill Kenwright Ltd for the part of Jack in the play “Dancing at Lughnasa”. The contract is dated 13 March 1991. It is a standard contract for London West End theatres and is in the bundle of agreed documents in Part B at pages 35 to 37 and 72 to 94.
II. Engagement with Chichester Festival Theatre Productions Company Limited for the part of St. John Panmure in the play “Preserving Mr Penmure”. The contract is dated 29 January 1991. The contract appears in the bundle in part B, pages 44 and 45 and 190 to 208.
III. An engagement with Greenwich Theatre Ltd for the part of Caesar in the play “Caesar and Cleopatra”. The contract is dated 14 December 1991. In the bundle it appears in part B, paged 59 and 315 to 330.
As respects Mr Sam West, the question for determination is whether amounts earned by him from the following contracts were emolument from employment
I. Engagement with Michael Codron Ltd for the part of Nigel in “Hidden Laughter”. The contract is dated 19 February 1990. It appears in the bundle part C at pages 28 to 30 and 35 to 57.
II. Engagement with the Royal National Theatre Board Ltd for the part of Willy Carson in the play “the Sea”. The contract is dated 26 September 1991. It appears in part D of the bundle at pages 20 and 21 and 61 to 77.
\<page_number>1\</page_number> OFFICIAL We were given a statement of agreed facts. We do not set out that statement in this decision but we treat is as part thereof.
We heard evidence from both Appellants and from Mrs Genista Mary Maintosh, who since October 1990 has been the Executive Director of the Royal National Theatre in London. We accept the evidence of all three witnesses.
It is common ground that, if the earnings the subject matter of the appeals are not chargeable to tax under Schedule E they are nevertheless brought in to the appropriate Schedule D case 2 computations of the Appellants. The only issue in the appeals may therefore be restated as follows: whether the income of the Appellants from the theatrical engagements herein before listed arise from “employment” that is the relationship of master and servant to use the traditional language, or arise from self- employment, that is the exercise of a profession otherwise than as a servant or employee.
Mr McCowen, who lives and mainly works in London, is a leading English actor of international repute. He started his career in or about the year 1942, aged eighteen. Apart from a period of some twenty years, when he owned and operated a personal company, he has always regarded himself as self-employed or “free lance”, carrying on independently the profession of actor, not a servant or employee. During the year under appeal, and indeed, during the past three years he has acted in plays in the United Kingdom, acted in plays abroad, acted on television and on radio and in films and performed as “voice-over” and has also spoken commentaries for TV documentary films. He has regarded these activities as constituting his single source of income as a self-employed person. The Inland Revenue agree, save that they except theatrical performances in the United Kingdom which they say are taken out of Schedule D and brought under Schedule E. Also included under Schedule D are Mr McCowen’s “residuals”, that is receipts in respect of repeat fees and shares of rights from performances which took place in prior years of assessment.
Mr McCowen has for many years had a “spotlight entry” in a theatrical compilation and his agents have compiled and keep up a record of plays in which he has taken part (part B pages 1 to 5). Mr McCowen has always provided his own make-up. On some occasions he has provided his own costume, but only when the costume of a present-day gentleman is required. He has always employed and paid (usually 10% of his takings) a theatrical agent whose task has been to negotiate contracts, look for fresh opportunities, provide him with a professional address, safeguard his professional interests and general further his career. Generally, when engaged in any one play or other engagement (whether those now included the assessments under Schedule E or not) Mr McCowen has not concentrated on the matter in hand to the exclusion of other matters; on the contrary there has been both overlap and cross fertilisation. By overlap is meant that, while performing one role in one
\<page_number>2\</page_number>
OFFICIAL theatre he might well be learning the part of another role either contracted for or merely hoped for. Whilst engaged in other work, he learnt by heart the gospel according to St Mark and was subsequently able to convert that into theatrical performance. Over no period of time can he fairly say that he is engaged in one activity to the exclusion of all other in the course of his profession. Mr McCowen has for many years never taken "repertory" work in the sense of being a member of an acting team, taking one part one week and another the next. He has in the years under consideration invariably contracted to play a specific role for the run of a play or for the run of the play or a shorter fixed period. He has taken different engagements with different managers; rarely if ever taken consecutive engagements from the same manager.
He is and has been registered for value added tax on the footing that he is in business for all his theatrical activities in his own account, not being an employee in respect of any of them.
For theatrical work he is normally engaged by a theatre manager or management company, which also engages the director who produces and directs the play.
When playing a role in the theatre Mr McCowen, to use his own phrase, "works with the director". The director may not dictate to him how a role should be played. Differences of opinion may be ironed out, but in the last resort, Mr McCowen regards the directors view as being "suggestions" and not control of the role. There is a working relationship, but, like other actors, Mr McCowen is the one who gives the performance and so interprets the role to the audience. Curiously enough the author, if still alive, is not encouraged to take any part in rehearsals or presentations. Only the director talks to the actors; the author has little if any rights or responsibility.
The word "salary" is commonly used in the theatre to denote the receipts of an actor, whereas "fees" are normally used is relation to television and films.
Generally the entire acting profession, even those clearly employed as servants, have a tendency to regard themselves as self-employed members of a profession.
Billing is most important. In agreeing the billing for one run an actor and his agent have in mind not only that run but also the future development of the actor's career.
The Royal National Theatre is a repertoire system. This is not the same as the old repertory where actors were employed week in and week out to play whatever role was needed.
\<page_number>3\</page_number>
OFFICIAL Every actor at the National (including Mr West) is engaged to play a specific role in a specific production either for its total run at that theatre or for a minimum of say between six and twenty weeks which is guaranteed even if the production goes off. A contract for a role can be extended, although in practice never extended for more than sixty weeks. An actor who plays different roles at the National plays each role under a separate engagement or contract. The actors are separate from the other employees such as ushers and box office staff who, although not working standard hours, are treated as employees. Both actors and directors, because their activities are regarded as creative, and because they are taken on for specific plays or roles, are regarded as self-employed by the National Theatre. That is typical of all theatres.
Mr Samuel West, who resides in London, is much younger than Mr McCowen. His first theatrical engagement was in 1985 before going to Oxford; since coming down he has been devoted to the theatre. He comes from a theatrical family going back four generations. Considering his youth he has been successful. Like Mr McCowen he regards himself as an independent creative artist, carrying on a profession, self-employed, and at no time a servant of any employer. He also undertakes work in the theatre and in films and television. During the two years under appeal he has acted in plays in the United Kingdom, acted in plays abroad, acted on television and on radio and in films and performed as “voice over”; and has also “dubbed” a voice for film. He has done work in English and French languages. Like Mr McCowen he has regarded these activities as constituting his single source of income as a self-employed person. He also has “residuals”; payment in respect of repeat fees and sales rights for earlier performances. He has regarded these activities as constituting his single source of income as a self-employed person. Again the Inland Revenue agree, save that they make an exception of theatrical performances in the United kingdom, which they say are taken out of Schedule D and brought under Schedule E as emoluments of employment.
Mr West also has had a “spotlight entry”.
Mr West has always provided his own make-up and like Mr McCowen has a make-up box which he habitually uses. He has never provided his own costume. He has always employed and paid a theatrical agent whose task has been to negotiate contracts, look for fresh opportunities, provide him with a professional address, safeguard his professional interests and generally further his career.
Unlike Mr McCowen, he has for some weeks, in the summer of 1992, been unemployed. He has not acted in the theatre outside the United Kingdom, although he has done film work in France. He has also on occasion exploited his talents by giving talks and performing such tasks as opening fetes. He regards himself as lucky in that he can and does work in all media
\<page_number>4\</page_number> OFFICIAL where acting is required and he perceives no great difference between his work in the theatre and his work in other media. As with Mr McCowen there has been both overlap and cross fertilisation. When unemployed he was not inactive. Hoping one day to play Hamlet, he has learnt by heart all or most of the part. At no time can he fairly say that he is engaged in one activity to the exclusion of all others in the course of his profession. He has never taken "repertory" work in the theatre. He has invariably contracted to play a specific role for the run of a play or for the run of the play or of a shorter fixed period. Although he has worked in the Royal National Theatre he has worked and hopes to work in the commercial theatre also.
Mr West is not registered for value added tax and his turnover has never reached the statutory limit. For his theatrical work he is engaged by a manager or management company to play a specific role; the director who produces and directs the play is also so engaged. There is an example of a billing provision at page 29 of part C of the bundle. Like Mr McCowen, Mr West regards billing as very important. Proper billing during the run of one play can maintain and further his general reputation and lead to further work. Mr West emphasised that cross fertilisation was "total and he used the words 'synergy' in the sense that each one of his activities is linked with, and works with, other activities in that and other mediums.
To the suggestions that the management tells him how to act a role on stage, he insisted he was engaged because of his own skill and judgement. He was not a robot. He rehearses a role in collaboration with the director but finally he played it his own way. He emphasised that "our job is our own" and he dismissed as absurd the suggestion that he was tied as to the manner of carrying out his duties.
Both Appellants habitually learnt acting lines before rehearsals, without reward, at irregular times, and frequently while also engaged in other work. Both Appellants have undertaken engagements where, because the work was exciting and largely its own reward, they accepted such little pay that they were left out of pocket. Thus Mr McCowen played a role in a London suburban theatre for less reward than he would have obtained in the West End. Mr West played Lord Byron in the four day run of play "Keen" in Chichester after being paid for those days and three weeks rehearsal, but spending much time, unpaid in learning the role.
Both Appellants were referred to their accounts (part B page 10 and part C page 7). The items therein "make-up" relate purely to the theatre, since in TV and films the management provide all make-up. Otherwise the items of Expenditure generally related to all the professional activities of the Appellants, none being wholly theatrical or non theatrical. Both Appellants regularly research, mainly through books, roles that they are to play or wish to
\<page_number>5\</page_number> OFFICIAL play. Thus Mr McCowen researched the role of Prospero, partly by hearing tapes of other actors in that role. Both Appellants regarded it important to keep up to date by visiting the theatre to see other actors. In furtherance of their careers a good deal of entertainment and discussions takes place at home and elsewhere. Generally such expenditure relates not to any particular engagement but to the professional life of the actor generally.
Generally acting in the theatre has for both Appellants been paid less well for acting on films; even television and radio work have been better paid than acting in the theatre. But the career of both Appellants is centred on the theatre, in that it is usually theatre work that leads to film, television and other work, and forwards his reputation as an actor. The film, television and other work are not regarded by either Appellant as mere "sideline" to theatrical work. Each type of work "fertilizes" the other, although each Appellant regards the live theatre as his professional home.
In theatrical contracts the reward to the actor is normally called "salary", whereas in TV and films the word used is "fee". A leading actor commonly gets a part of his "salary" a percentage of box office receipts; see for example part B page 35.
In the theatre it is normal for a contract to consist, as do those now under consideration, of two parts, the first short part being the main terms, the second, voluminous, part being in some standard form. An "exclusive services" clause (as at B page 75) is usual; but both Appellants emphasised that management consent to other worker was normally given on request. Although provision is made for holidays (as part B page 76) both Appellants refused holidays during a run and stated that it was very rare in the theatre for actors to take holidays during a run, whatever may be in the contract. Although there are normally specific provisions for rehearsals and overtime and hours of work, an actor is expected to learn his role in his own time.
It is common that (subject to our exception) all the professional activities of each Appellant, including TV, films, radio, theatrical acting outside the United Kingdom, are part and parcel of the Appellant's profession of actor, properly chargeable under Schedule D Case 2. However each Appellant claims to include, and the Revenue claims to exclude, from that Schedule D Case 2 activity the theatrical work under the engagements listed at the beginning of this Decision.
The Contentions of the Parties.
\<page_number>6\</page_number> OFFICIAL We intend no disrespect to the excellent arguments addressed to us, in not setting them out in this Decision. Those arguments were part in writing, part oral.
In determining the issue in this case we have to view all the relevant factors, those indicating employment and those indicating self employment, then step back and take a balanced view. In our opinion we must not consider the matter as a mere question of construction of the contracts described at the beginning of this decision. Were we to restrict our consideration to construction of the contracts, we would be left in some doubt whether they are service contracts or contracts for services; that is employments or self employments. In favour of employment is the fact that all the contracts contain very detailed provisions, particularly as to hours worked, extra pay, overtime, matters which one might more readily associate with employment than with self employment. On the other hand there are clear indications that the actor is to, or may, charge VAT (see for example Part B pages 37, 45, 325). There seems to be no provision for pension or for redundancy. Furthermore, the elaborate details in the theatrical contracts, which details may perhaps be thought to point to employment rather than self employment, are in some respects echoed in radio, television and film agreements, which both sides admit to be matters of self-employment and not of employment. In this respect we refer to part B pages 95-189, and to pages 209 et seq. We also refer to part C pages 156 et seq and 58 et seq, both dealing with television. In part D we refer to the film contract beginning at page 26. It is significant then, in all these non theatrical contracts, overtime and payment for overtime, which one might well associate with a master and servant relationship, looms very large. We perceive no fundamental difference, as regards the rights and duties of actor, between theatrical contracts on the one hand, as to which there is a dispute relating to employment or self employment., and on the other hand the radio, television and film contracts, which, it is common ground, are not employments but mere engagements in the course of Schedule D self employment. We think it significant that each contract under consideration consists of two parts; the first relating to the specific actor, the second voluminous part being in the common form. It is proper in our view to give particular emphasis to the first part and it is significant in each first part the fundamental contract between the theatre and the actor is to play a specific role in a specific play for a specific run at a specific theatre. Were we to restrict ourselves to the contracts therefore we should, on balance, come to the conclusion that the appellants are throughout self-employed, so that Schedule E assessments cannot stand.
However we do not think it proper to determine this appeal as a matter of narrow construction. Every such matter must, in our view, be determined by looking at the surrounding facts. Even in a matter of construction, taking a form of construction whereas one is not looking for a common purpose, for example construing a will, one is bound to put oneself "into the testator's armchair" so that the will is construed against the background of the testator's assets and the claims on his bounty and so on. Furthermore, we have been referred to highest authority which indicates that more must be looked at than the mere
\<page_number>7\</page_number> OFFICIAL terms of the contract. For example Lord Brandon in Narich Propriety and the Commissioners of Payroll Tax, an appeal from New South Wales reported ay 1983 1ICR p.286 at page 291 says this :-:
“The first principle is that subject to one exception where there is a written contract between the parties whose relationship is in issue a court is confined in determining the nature of that relationship to a consideration of the terms expressed or implied at that contract in the light of the circumstances surrounding the making of it and it is not entitled to consider also the manner in which the parties subsequently acted in pursuance of such contract.”
Again, Lord Wilberforce in the House of Lords in Reardon Smith Line Ltd 1976 1 WLR 989 says this at page 997:-:
“What the Court must do to place itself in thought in the same factual matter as that in which the parties were.”
Relevant here is the consideration that the charge under Schedule E is not expressed to be imposed on contracts of services but on emoluments from employment. It is trite law that one determines what are emoluments not by asking whether the receipts come from the contract of service, but whether they come from the employment. That is one aspect of a wider consideration, that a master or a servant may perform acts not expressly or implicitly promised in the service context, which acts are part of the employment, but not part of the service contract. Thus an unconvenanted bonus by the employer to the employee can hardly be said to come from the contract of service, which makes no provision express or implied for bonuses, although it is clear that it does come from the employment. Thus, in our view, in order to determine whether receipts on emoluments from an employment one must look at all the factors, the true construction of the contracts being one most important factor.
The question we have to determine is mixed question of fact and law.
We find useful guidance in Market Investigations v Ministry of Social Security 1969 208 1 73, where a housewife earning “pin money” was held to be under a contract of service. At page 184 Mr Justice Cooke approves the approach of the American courts on the issue whether certain men were employees, by looking at the matter “as a matter of economic reality”. The Judge goes on:
\<page_number>8\</page_number> OFFICIAL “The observation of Lord Wright of Denning LJ and of the judges of the Supreme Court suggest the fundamental test to be applied is this: “is the person who has engaged himself to perform these services performing them as a person who has engaged himself to perform these services performing them as a person in business on his own account?”. If the answer to that question is “yes” then the contract is a contract for services. If the answer is “no” then the contract is a contract of service. No exhaustive list has been compiled and perhaps no exhaustive list can be compiled of the consideration which are relevant in determining that question, nor can strict rules be laid down as to relative weight which the various considerations should carry in particular cases.”
That test was approved by the Privy Council in Lee v Chung 1990 2 AC374, 382.
Recently that test was approved and applied by Mummery J in Hall (HMIT) v Lorimer 1992 STC 599, particularly at pages 611, 612
Before approaching the factors in this case we digress to record that it is established that a self employed person may, part of his time, undertake duties that make him chargeable as an employee or a servant under Schedule E. In this respect we rely on Sidesy v Philips (HMIT) 59 TC 458.
We have weighed all the factors in this case and have arrived at the conclusion that each of the appellants was, as respects his theatrical work in the years under appeal, self employed so as to be chargeable to tax under Schedule D Case II and not under Schedule E. We record in particular the following considerations. The appellant engaged to play a particular role during all or part of a particular run of a play. During the engagement his work under the contract did not absorb his entire time or attention. Various engagements, whether in the theatre, film studio or the radio or television studio, frequently overlapped. There was cross-fertilisation, in that success in one engagement might lead to another in the same or a different line. (By its very nature a career in the theatre is various, including acting, taking part in discussions, appearing at social events, performing on television or in films or in radio. It is quite different from a repertory theatre, where the actor is assigned to play whatever parts may from time to time be required.) The actor kept his own business organisation, in that he employed an agent, for a fraction of the actor’s gross take, who would, day in day out, look for fresh opportunities, keep records and generally further the actor’s career. When an actor took on a role he did not become “part and parcel” of the theatre in the sense that a scene shifter or employee in the box office is part and parcel. The actor had a specific role for a limited period. Neither appellant was under the “control” of a theatre or of the management company. No doubt fair display of temperament might be evident on occasions, but in the last resort the role was interpreted by the actor, a matter of
\<page_number>9\</page_number> OFFICIAL artistic impression. A more humble job may more readily perceived to be that of a servant; but an actor has a creative activity. Each appellant, incurred expenditure which related to his profession as a whole, not to individual activities in it. Moreover when an actor engaged to play a role during a run he could be seen to be part and parcel of the play, but that is different from being part and parcel of the theatre or of the organisation that put on the play. Neither appellant was part and parcel of any theatre or organisation in this sense. Both actors regarded themselves as being independent, in business on his own account. Each actor provided his own make up. For value added tax purposes Mr McCowen was treated as self employed and in business on his own account, although Mr West had not reached the value added tax threshold.
In our view the relevant factors point clearly towards self employment. We have deliberately not yet referred to the two High Court decisions which hitherto have often been held to point to the distinction between employment and self employment in the theatre. These are *Davies v Braithwaite* 1931 2 KB 628 and *Fall v Hitchin* 49 TC 435.
No doubt *Davies v Braithwaite* requires reconsideration in light of the many subsequent reported cases on taxation and other law in relation to employment. However, it is the decision of an eminent Judge, Rowlett J, who heard argument from eminent counsel. It may be thought old fashioned to refer to “post”, but it is no more old fashioned than income tax, going back uninterruptedly to 1842. It cannot fairly be said that either appellant has a “post” or a series of posts, as opposed to various engagements in the theatre and elsewhere. In our view the statement of the law at pages 635, 636 holds good today in the context of the theatre. We contrast the decision in *Fall v Hitchin* where it was held in the High Court that a ballet dancer had a “post”, and was therefore chargeable to tax under Schedule E. The learned judge pointed out that the issue “must depend on the particular facts”, and it is to be noted that the taxpayer was “in repertory” earning a steady income whether or not he was called upon to perform or rehearse performing whatever roles he was called on to perform from time to time. Both cases have particular force, because in both the High Court reversed the determination of the Commissioners. In the context of the theatre, those cases established the distinction, and draw the line, between the self-employment and employment, Schedule D case 2 and Schedule E.
We therefore allow the appeals.
(signed) D C Potter
(Commissioners)
\<page_number>10\</page_number> OFFICIAL (for the (special purpose (of the (Income Tax Acts
S J Oliver, QC
15-19 Bedford Avenue London WC1B 3AS
\<page_number>11\</page_number> OFFICIAL
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<img>ORR OFFICE OF RAIL AND ROAD logo</img>
# Paternity Leave
1. This policy outlines the eligibility criteria, entitlements and associated procedures relating to you taking paternity leave.
2. The policy applies to all permanent and fixed term employees who meet the eligibility requirements.
3. Any queries on the application or interpretation of this policy should be discussed with human resources prior to any action being taken.
**Paternity leave eligibility criteria**
4. Employees with a partner who is expected to give birth will be provided with additional time off work at or around the time of the birth. The definition of “employees with a partner who is expected to give birth” is that the employee is able to declare, in writing, that he/she is:
(a) The biological father of the child, or is married to, or is the partner of, the child’s mother; or (b) Is living with the mother in an enduring family relationship, but is not an immediate family relative;
And
(c) Will be responsible for the child’s upbringing; And
(d) Will take time off work to support the mother or care for the child.
**Entitlement**
5. All eligible employees who have 26 weeks or more continuous service (at ORR or in the civil service) ending with the 15th week before the expected week of childbirth may request up to three weeks’ paternity leave with full pay, which may be taken within two months of the child’s birth.
6. The statutory paternity leave of 10 days must be taken over two consecutive weeks. The first two weeks statutory paternity leave can start on any day of the week and are pro-rata’d for part-time workers.
7. You are allowed 5 additional days that can be taken at any time within the first two months of the birth, subject to your manager’s agreement. Additional days may also be taken from your annual leave, or parental leave entitlement, with your manager’s agreement.
8. No additional paid time off will be granted for multiple births.
**Paternity leave at the time of adoption**
9. Employees with a partner who is to become an adopter, or employees who are jointly adopting but intend to take paternity leave instead of adoption leave, will
Office of Rail and Road | Staff handbook: Paternity leave policy 2015 November | \<page_number>11081924\</page_number> be provided with additional time off work at the time of the placement of the child and in order to attend pre-adoption interviews and/or adoption order interviews with their partner.
10. All eligible employees who have 26 weeks’ or more continuous service as at the week of notification of being matched with a child may request up to three weeks’ paternity leave with full pay and must take this within two months of the date of the child’s placement.
11. The process for applying for paternity leave is the same, but the request for paternity leave form should be accompanied by a copy of the matching certificate issued to the adopter.
12. No additional paid time off will be granted where more than one child is adopted at the same time.
13. Further information on adoption can be found in the adoption policy.
Other time off
14. Attendance by partners at antenatal or scan appointments is encouraged, but proof of the appointment (except for the first hospital appointment where this is difficult to obtain) is required when applying to take paid time off work. Managers have discretion to agree up to two hours paid special leave for such appointments, within reasonable limits. This includes parents in a surrogacy arrangement to attend ante-natal appointments.
15. Details of shared parental leave and pay for partners are available in the separate policy.
Applying for paternity leave
16. If you wish to take paid paternity leave, you must complete the request for paternity leave form and the HMRC statutory paternity pay/leave form.
17. For taking paternity leave you must notify your manager and HR at least 15 weeks before the expected week of the child’s birth and provide proof of the expected date of childbirth – normally a copy of the MATB1 form which will have been given to the mother.
18. You may change the expected dates of paternity leave with the agreement of your manager, and should endeavour to give at least 28 days of the revised dates. You should discuss with your manager what will happen if the notified date of paternity leave commencement needs to change at short notice, for example if the baby is born earlier or later than expected.
Contractual benefits
19. The employee’s contract remains in place, and the employee will continue to accrue all contractual benefits except for salary, when they are on this leave. Annual leave and public/privilege days will continue to accrue, ORR will carry on making their usual contributions to a pension during paternity leave.
False declarations
20. If the employee fraudulently or negligently gives incorrect information or makes a false statement or declaration about their circumstances, this will be considered a disciplinary offence and could be considered gross misconduct. Action would be taken in accordance with the ORR disciplinary procedures.
Office of Rail and Road | Staff handbook: Paternity leave policy 2015 November | \<page_number>2\</page_number> 11081924 General Data Protection Regulations and Data Protection Act 2018
21. Personal data collected as part of this policy will be processed in accordance with the ORR’s Data Protection Policy. [Privacy Notice](#) and Records Retention schedule. The Privacy Notice explains what personal data ORR holds about you, how we collect it, and how we will use and may share information about you. Inappropriate access or disclosure of employee data constitutes a data breach and should be reported in accordance with the ORR’s security incident process immediately. It may also constitute a disciplinary offence, which will be dealt with under the ORR’s disciplinary procedure.
Questions
22. If you have any questions about paternity leave then please contact HR.
Office of Rail and Road | Staff handbook: Paternity leave policy 2015 November | \<page_number>3\</page_number> 11081924
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MINISTERIAL VISTS – ENGLAND MAY 2010 – 30 SEPTEMBER 2011
<table>
<thead>
<tr>
<th colspan="4">Rt Hon Andrew Lansley CBE MP, Secretary of State for Health</th>
</tr>
<tr>
<th>Date</th>
<th>Visit</th>
<th>Type of organisation</th>
<th>Location</th>
</tr>
</thead>
<tbody>
<tr>
<td>14/05/2010</td>
<td>Leeds General Infirmary</td>
<td>Hospital</td>
<td>W. Yorkshire</td>
</tr>
<tr>
<td>21/05/2010</td>
<td>Chase Farm Hospital</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>01/06/2010</td>
<td>Milton Keynes Hospital, NHS Foundation Trust</td>
<td>Hospital</td>
<td>Buckinghamshire</td>
</tr>
<tr>
<td>10/06/2010</td>
<td>Stafford Hospital, Mid Staffordshire NHS Foundation Trust</td>
<td>Hospital</td>
<td>Staffordshire</td>
</tr>
<tr>
<td>18/06/2010</td>
<td>Whiston Hospital, St Helens & Knowsley Teaching Hospitals</td>
<td>Hospital</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>18/06/2010</td>
<td>Fairfield General Hospital</td>
<td>Hospital</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>18/06/2010</td>
<td>Burnley General Hospital</td>
<td>Hospital</td>
<td>Lancashire</td>
</tr>
<tr>
<td>23/06/2010</td>
<td>Royal Liverpool & Broadgreen University Hospitals</td>
<td>Hospital</td>
<td>Merseyside</td>
</tr>
<tr>
<td>26/06/2010</td>
<td>East Anglia Children's Hospice</td>
<td>Hospice</td>
<td>Cambridgeshire</td>
</tr>
<tr>
<td>30/06/2010</td>
<td>Royal Sussex County Hospital</td>
<td>Hospital</td>
<td>East Sussex</td>
</tr>
<tr>
<td>08/07/2010</td>
<td>North Cumbria Hospital</td>
<td>Hospital</td>
<td>Cumbria</td>
</tr>
<tr>
<td>08/07/2010</td>
<td>Penrith Hospital</td>
<td>Hospital</td>
<td>Cumbria</td>
</tr>
<tr>
<td>08/07/2010</td>
<td>Cockermouth Community Hospital, NHS Foundation Trust Whitehaven and West Cumberland Hospital Royal Marsden Hospital, NHS Foundation Trust Talking Therapies, Improving Access to Psychological Therapies, Berkshire West Peterlee Community Hospital Triple 111 launch, North East Call Centre HQ Basingstoke Hospital, A&E and Acute Services, NHS Foundation Trust South Mead Hospital Addenbrooke's Hospital, NHS Foundation Trust Whitstable Medical Practice Pendleton Gateway Centre Heatherwood & Wexham Park Hospitals NHS Trust University College London Hospital, NHS Foundation Trust Smethwick Medical Centre Nene GP Commissioning, Abington Park Surgery Health Centre GP Practice
<page_number>14</page_number></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></ td td/></table>
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>04/11/2010</td>
<td>Stobart Stadium</td>
<td>Conference Centre</td>
<td>Merseyside</td>
</tr>
<tr>
<td>04/11/2010</td>
<td>Glenfield Hospital</td>
<td>Hospital</td>
<td>Leicestershire</td>
</tr>
<tr>
<td>16/11/2010</td>
<td>Turning Point, Social Enterprise</td>
<td>Social Enterprise</td>
<td>London</td>
</tr>
<tr>
<td>24/11/2010</td>
<td>Maidstone Hospital</td>
<td>Hospital</td>
<td>Kent</td>
</tr>
<tr>
<td>26/11/2010</td>
<td>NISA Convenience Store (Change 4 Life)</td>
<td>Industry</td>
<td>Norfolk</td>
</tr>
<tr>
<td>30/11/2010</td>
<td>Eastwood Centre for Children & Families, Roehampton Children's Centre</td>
<td>Children's Centre</td>
<td>London</td>
</tr>
<tr>
<td>08/12/2010</td>
<td>Bexley Care Trust</td>
<td>GP Practice</td>
<td>London</td>
</tr>
<tr>
<td>08/12/2010</td>
<td>Queen Mary's Hospital</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>13/12/2010</td>
<td>Chelsea and Westminster Hospital, NHS Foundation Trust</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>16/12/2010</td>
<td>Bridlington and District Hospital Scarborough District General Hospital</td>
<td>Hospital</td>
<td>Yorkshire N. Yorkshire</td>
</tr>
<tr>
<td>16/12/2010</td>
<td></td>
<td>Hospital NHS Blood Donor Centre London</td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><th colspan="4">25/03/2011<br>27/03/2011<br>31/03/2011<br>31/04/2011<br>31/05/2011<br>31/06/2011<br>31/07/2011<br>31/08/2011<br>31/09/2011<br>31/10/2011<br>31/11/2011<br>31/12/2011<br>31/03/2012<br>31/04/2012<br>31/05/2012<br>31/06/2012<br>31/07/2012<br>31/08/2012<br>31/09/2012<br>31/10/2012<br>31/11/2012<br>31/12/2012<br>31/03/2013<br>31/04/2013<br>31/05/2013<br>31/06/2013<br>31/07/2013<br>31/08/2013<br>31/09/2013<br>31/10/2013<br>31/12/<th colspan="4">Nottingham University Hospitals Centre Nottinghamshire West Midlands West Midlands
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<table>
<thead>
<tr>
<td></td>
<td>Health and Social Care Centre</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>24/03/2011</td>
<td>Southampton General Hospital,<br>NHS Foundation Trust</td>
<td>Hospital</td>
<td>Hampshire</td>
</tr>
<tr>
<td>31/03/2011</td>
<td>St John's Hospice</td>
<td>Hospice</td>
<td>London</td>
</tr>
<tr>
<td>06/04/2011</td>
<td>Frimley Park Hospital, NHS<br>Foundation Trust</td>
<td>Hospital</td>
<td>Surrey</td>
</tr>
<tr>
<td>20/04/2011</td>
<td>Bedford Hospital</td>
<td>Hospital</td>
<td>Bedfordshire</td>
</tr>
<tr>
<td>27/04/2011</td>
<td>The South Westminster Centre for<br>Health</td>
<td>GP Practice</td>
<td>London</td>
</tr>
<tr>
<td>12/05/2011</td>
<td>Royal National Orthopaedic<br>Hospital</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>12/05/2011</td>
<td>Principia GP Consortium<br>Papworth Hospital, NHS<br>Foundation Trust</td>
<td>GP Consortia</td>
<td>Nottinghamshire</td>
</tr>
<tr>
<td>19/05/2011</td>
<td></td>
<td>Hospital</td>
<td>Cambridgeshire</td>
</tr>
<tr>
<td>20/05/2011</td>
<td>Manchester University Hospital,<br>NHS Foundation Trust</td>
<td>Hospital</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>20/05/2011</td>
<td>Broomwell Health Watch Service</td>
<td>Industry</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>24/05/2011</td>
<td>London GP Consortium Council</td>
<td>GP Consortia</td>
<td>London</td>
</tr>
<tr>
<td>08/06/2011</td>
<td>Eli Lilly R&D laboratories<br>Chelsea and Westminster<br>Hospital, NHS Foundation Trust<br>Guy's and St Thomas' Hospital,</td>
<td>Industry</td>
<td>Surrey</td>
</tr>
<tr>
<td>09/06/2011</td>
<td></td><td>Hospital</td><td>London</td></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></thal/></table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th>Date (dd/mm/yyyy)</strong> </strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
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<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)</strong> <strong>Description
<th>Date (dd/mm/yyyy)<br>Trust
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre <br>Southampton General Hospital, NHS Foundation Trust <br>St John's Hospice <br>Frimley Park Hospital, NHS Foundation Trust <br>Bedford Hospital <br>The South Westminster Centre for Health <br>Royal National Orthopaedic Hospital <br>Principia GP Consortium <br>Papworth Hospital, NHS Foundation Trust <br>Manchester University Hospital, NHS Foundation Trust <br>Broomwell Health Watch Service <br>London GP Consortium Council <br>Eli Lilly R&D laboratories <br>Chelsea and Westminster Hospital, NHS Foundation Trust <br>Guy's and St Thomas' Hospital, NHS Foundation Trust <br>Rampton Secure Hospital <br>Croydon University Hospital <br>Broughton House Surgery <br>Buckinghamshire County Council <br>Collumpton GP Practice <br>Alder Hey Children's Hospital, NHS Foundation Trust <br>Royal Wolverhampton Orthopaedic and District Hospital Princess Royal Hospital <br>Eddercliffe Intermediate Care Centre <br>Trumpington Street Medical Practice <br>Lister Hospital <br>St James's University Hospital Leeds Teaching Hospitals Newcastle Biomedical Research Centre Hexham General Hospital Evelina Children's Hospital, Guy's and St Thomas' NHS Foundation Trust Birmingham Heartlands Hospital, NHS Foundation Trust </table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre <br>Southampton General Hospital, NHS Foundation Trust <br>St John's Hospice <br>Frimley Park Hospital, NHS Foundation Trust <br>Bedford Hospital <br>The South Westminster Centre for Health <br>Royal National Orthopaedic Hospital <br>Principia GP Consortium <br>Papworth Hospital, NHS Foundation Trust <br>Manchester University Hospital, NHS Foundation Trust <br>Broomwell Health Watch Service <br>London GP Consortium Council <br>Eli Lilly R&D laboratories <br>Chelsea and Westminster Hospital, NHS Foundation Trust <br>Guy's and St Thomas' Hospital, NHS Foundation Trust <br>Rampton Secure Hospital <br>Croydon University Hospital <br>Broughton House Surgery <br>Buckinghamshire County Council <br>Collumpton GP Practice <br>Alder Hey Children's Hospital, NHS Foundation Trust <br>Royal Wolverhampton Orthopaedic and District Hospital Princess Royal Hospital <br>Eddercliffe Intermediate Care Centre <br>Trumpington Street Medical Practice <br>Lister Hospital <br>St James's University Hospital Leeds Teaching Hospitals Newcastle Biomedical Research Centre Hexham General Hospital Evelina Children's Hospital, Guy's and St Thomas' NHS Foundation Trust Birmingham Heartlands Hospital, NHS Foundation Trust
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre <br>Southampton General Hospital, NHS Foundation Trust <br>St John's Hospice <br>Frimley Park Hospital, NHS Foundation Trust <br>Bedford Hospital <br>The South Westminster Centre for Health <br>Royal National Orthopaedic Hospital <br>Principia GP Consortium <br>Papworth Hospital, NHS Foundation Trust <br>Manchester University Hospital, NHS Foundation Trust <br>Broomwell Health Watch Service <br>London GP Consortium Council <br>Eli Lilly R&D laboratories <br>Chelsea and Westminster Hospital, NHS Foundation Trust <br>Guy's and St Thomas' Hospital, NHS Foundation Trust <br>Rampton Secure Hospital <br>Croydon University Hospital <br>Broughton House Surgery <br>Buckinghamshire County Council <br>Collumpton GP Practice <br>Alder Hey Children's Hospital, NHS Foundation Trust <br>Royal Wolverhampton Orthopaedic and District Hospital Princess Royal Hospital <br>Eddercliffe Intermediate Care Centre <br>Trumpington Street Medical Practice <br>Lister Hospital <br>St James's University Hospital Leeds Teaching Hospitals Newcastle Biomedical Research Centre Hexham General Hospital Evelina Children's Hospital, Guy's and St Thomas' NHS Foundation Trust Birmingham Heartlands Hospital, NHS Foundation Trust
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="width: 100%;">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th colspan="3" style="text-align: center;">Health and Social Care Centre</table>
<table style="" cellspacing="" cellpadding="" border="">
<table>
<thead>
<tr>
<td>08/09/2011</td>
<td>Willowbrook Hospice</td>
<td>Hospice</td>
<td>Merseyside</td>
</tr>
<tr>
<td>08/09/2011</td>
<td>Halton Haven Hospice</td>
<td>Hospice</td>
<td>Cheshire</td>
</tr>
<tr>
<td>08/09/2011</td>
<td>St John's Hospice, Wirral</td>
<td>Hospice</td>
<td>Merseyside</td>
</tr>
</thead>
<tbody>
<tr>
<td colspan="4"><strong>Simon Burns MP, Minister of State for Health</strong></td>
</tr>
<tr>
<td><strong>Date</strong></td>
<td><strong>Visit</strong></td>
<td><strong>Type of organisation</strong></td>
<td><strong>Location</strong></td>
</tr>
<tr>
<td>03/06/2010</td>
<td>London Ambulance Service Headquarters</td>
<td>Ambulance Service</td>
<td>London</td>
</tr>
<tr>
<td>01/07/2010</td>
<td>Newark Hospital, Sherwood Forest Hospitals, NHS Foundation Trust</td>
<td>Hospital</td>
<td>Nottinghamshire</td>
</tr>
<tr>
<td>02/07/2010</td>
<td>Ipswich Hospital, NHS Foundation Trust</td>
<td>Hospital</td>
<td>Suffolk</td>
</tr>
<tr>
<td>03/08/2010</td>
<td>Glovershots, Tunstall Smart House</td>
<td>Telecare Centre</td>
<td>Essex</td>
</tr>
<tr>
<td>01/09/2010</td>
<td>Colchester Primary Care Centre GP Practice Newlands Pharmacy in Harold Hill Health Centre GP Practice Essex Great Ormond Street Hospital, NHS Foundation Trust Hospital London Bromley by Bow Centre (Health Centre) GP Practice London</td>
<td></td>
<td></td>
</tr>
<tr>
<td>29/09/2010</td>
<td>Brierley Hill Health and Social Care Centre Health and Social Care Centre West Midlands Russell's Hall Hospital, Dudley Group of Hospitals, NHS Foundation Trust Hospital West Midlands NHS Direct Call Centre, East of England Ambulance Trust, Broomfield Call Centre Essex Guy's Hospital, Guy's and St. Thomas' Hospital, NHS Foundation Trust Hospital London Birmingham and Solihull Mental Health, NHS Foundation Trust Hospital West Midlands Liverpool Women's Hospital, NHS Foundation Trust Hospital Merseyside Combat Stress (The Veterans' Mental Health Charity) Charity Surrey South East Coast Ambulance Service Ambulance Service East Sussex Kings College Hospital, NHS Foundation Trust Hospital London 16/12/2010 22/11/2010 23/11/2010 20/01/2011 06/05/2011 06/05/2011 Hillcrest Surgery Hillcrest Surgery Bellevue Medical Centre Queen Elizabeth Hospital, University Hospitals Birmingham Medical Centre Hospital West Midlands Hospital West Midlands
</td>
<td></td>
<td></td>
</tr>
<tr><td colspan="4"></td></tr><tr><td colspan="4">4</td></tr></tbody></table>
<table>
<thead>
<tr>
<td></td>
<td>NHS Foundation Trust</td>
<td>Hospital</td>
<td>London</td>
</tr>
</thead>
<tbody>
<tr>
<td>09/05/2011</td>
<td>The Royal Free Hampstead</td>
<td></td>
<td></td>
</tr>
<tr>
<td>16/05/2011</td>
<td>Doncaster & Bassetlaw Hospitals,<br>NHS Foundation Trust</td>
<td>Hospital</td>
<td>S. Yorkshire</td>
</tr>
<tr>
<td>23/05/2011</td>
<td>Royal Devon and Exeter, NHS<br>Foundation Trust</td>
<td>Hospital</td>
<td>Devon</td>
</tr>
<tr>
<td>23/05/2011</td>
<td>Totnes Community Hospital</td>
<td>Hospital</td>
<td>Devon</td>
</tr>
<tr>
<td>15/06/2011</td>
<td>Clifton House Medical Centre<br>British Heart Foundation - Hearty<br>Lives Project</td>
<td>Medical Centre</td>
<td>E. Yorkshire</td>
</tr>
<tr>
<td>15/06/2011</td>
<td></td>
<td>Charity/School</td>
<td>E. Yorkshire</td>
</tr>
<tr>
<td>21/07/2011</td>
<td>Warwick Hospital, South<br>Warwickshire NHS Foundation<br>Trust</td>
<td>Hospital</td>
<td>Warwickshire</td>
</tr>
<tr>
<td>15/08/2011</td>
<td>Royal United Hospital Bath<br>South Petherton Community<br>Hospital</td>
<td>Hospital</td>
<td>Somerset</td>
</tr>
<tr>
<td>15/08/2011</td>
<td></td>
<td>Hospital</td>
<td>Somerset</td>
</tr>
<tr>
<td>28/09/2011</td>
<td>North East Ambulance Service<br>NHS Trust - Chester le Street</td>
<td>Ambulance<br>Services</td>
<td>Co. Durham</td>
</tr>
</tbody>
<tfoot><tr><td colspan="4"></td></tr></tfoot>
</table>
**Paul Burstow MP, Minister of State for Care Services**
<table border="1">
<thead>
<tr><th>Date</th><th>Visit</th><th>Type of organisation</th><th>Location</th></tr>
</thead>
<tbody>
<tr><td>03/06/2010</td><td>Gaynsford Lodge Day Centre</td><td>Day Centre<br>General Medical Practice<br>Health Centre<br>Resource Centre for Older People in Newham<br>Community Centre<br>Day Centre<br>Hospice<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospital<br>Hospice|Greater Manchester|Leeds|Essex|London|London|Greater Manchester|Greater Manchester|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|Hospital|
<page_number>5</page_number>|Surrey|London|Berkshire|Greater Manchester|
<page_number>5</page_number>|Liverpool|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5</page_number>|London|
<page_number>5'</span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div/></html
<table>
<thead>
<tr>
<td>05/11/2010</td>
<td>Harrop Field Specialist Arts college</td>
<td>Arts College</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>18/11/2010</td>
<td>Hackney Community Transport</td>
<td>Social Enterprise</td>
<td>London</td>
</tr>
<tr>
<td>24/11/2010</td>
<td>Lambeth Walk Day Centre</td>
<td>Day Centre</td>
<td>London</td>
</tr>
<tr>
<td>29/11/2010</td>
<td>Royal Oldham Hospital</td>
<td>Hospital</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>22/12/2010</td>
<td>Royal Marsden Hospital, Sutton Site</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>05/01/2011</td>
<td>Northampton General Hospital</td>
<td>Hospital</td>
<td>Northamptonshire</td>
</tr>
<tr>
<td>05/01/2011</td>
<td>Norman Power Centre</td>
<td>Council service</td>
<td>West Midlands</td>
</tr>
<tr>
<td>20/01/2011</td>
<td>Macmillan Cancer Support offices</td>
<td>Charity</td>
<td>London</td>
</tr>
<tr>
<td>01/02/2011</td>
<td>Marlborough Family Centre University Hospital Bristol, NHS Foundation Trust</td>
<td>Family Centre Hospital Health Centre</td>
<td>London Bristol</td>
</tr>
<tr>
<td>03/02/2011</td>
<td>Autism Diagnostics Centre</td>
<td></td>
<td>Bristol</td>
</tr>
<tr>
<td>23/02/2011</td>
<td>Freeman Hospital Age UK</td>
<td>Local Authority and Charity Charity</td>
<td>Co. Durham E. Yorkshire</td>
</tr>
<tr>
<td>23/02/2011</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>27/04/2011</td>
<td>Chelsea and Westminster Hospital, NHS Foundation Trust Mossley Hill Hospital Sheffield Children's Hospital St. Joseph's Hospice National Hospital for Neurology, University College London Hospitals University College Hospital, NHS Foundation Trust Guy's and St Thomas' Hospital, NHS Foundation Trust Samaritans Branch Essex Coalition of Disabled People Disability Essex Samaritans Branch Care Trust Industry Charity User-led organisation Hospital Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charity Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Charitiey Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre Hospital/Laboratory Hospital/Centre
Anne Milton MP, Parliamentary Under Secretary of State - Public Health
Date Visit Type of organisation Location
24/05/2010 University Hospital Birth Centre Hospital London
<page_number>6</page_number>
<table>
<thead>
<tr>
<td></td>
<td>Lewisham</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>10/06/2010</td>
<td>Guys and St Thomas' NHS Foundation Trust</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>14/06/2010</td>
<td>Men's Health Week, Question of Health Event, West Ham United Football Club</td>
<td>Football Club</td>
<td>London</td>
</tr>
<tr>
<td>08/07/2010</td>
<td>Royal London Hospital</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>13/07/2010</td>
<td>UNICEF - National Breastfeeding Awareness Week - Bristol PCT</td>
<td>Primary Care Trust</td>
<td>Bristol</td>
</tr>
<tr>
<td>27/07/2010</td>
<td>The Grove Children and Family Centre</td>
<td>Children and Family Centre</td>
<td>London</td>
</tr>
<tr>
<td>01/09/2010</td>
<td>William Harvey Hospital, NHS Foundation Trust</td>
<td>Hospital</td>
<td>Kent</td>
</tr>
<tr>
<td>13/09/2010</td>
<td>Sexual Health Clinic, Boots Erdington Health and Well Being Walk-In Centre, Birmingham East and North</td>
<td>Sexual Health Clinic</td>
<td>West Midlands</td>
</tr>
<tr>
<td>13/09/2010</td>
<td></td>
<td>Health Centre</td>
<td>West Midlands</td>
</tr>
<tr>
<td>12/10/2010</td>
<td>Health Protection Agency</td>
<td>Health Protection Agency</td>
<td>Wiltshire</td>
</tr>
<tr>
<td>20/10/2010</td>
<td>National Institute for Biological Standards and Control (NIBSC)</td>
<td>Health Protection Agency</td>
<td>Hertfordshire</td>
</tr>
<tr>
<td>01/11/2010</td>
<td>Unilever Food Solutions HQ</td>
<td>Industry</td>
<td>Surrey</td>
</tr>
<tr>
<td>10/11/2010</td>
<td>Doncaster Royal Infirmary, NHS Foundation Trust</td>
<td>Hospital</td>
<td>S. Yorkshire</td>
</tr>
<tr>
<td>17/11/2010</td>
<td>Wigan Well@ Work project - Heinz HQ</td>
<td>Industry</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>23/11/2010</td>
<td>King's College Hospital, NHS Foundation Trust</td>
<td>Hospital</td>
<td>London</td>
</tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4"></th></tr><tr><th colspan="4" style=""><table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Lewisham<br/>Guys and St Thomas' NHS<br/>Foundation Trust<br/>Hospital<br/>London<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Men's Health Week, Question of<br/>Health Event, West Ham United<br/>Football Club<br/>Football Club<br/>London<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Royal London Hospital<br/>Hospital<br/>London<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>UNICEF - National Breastfeeding<br/>Awareness Week - Bristol PCT<br/>Primary Care Trust<br/>Bristol<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>The Grove Children and Family<br/>Centre<br/>Children and Family Centre<br/>London<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>William Harvey Hospital, NHS<br/>Foundation Trust<br/>Hospital<br/>Kent<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Sexual Health Clinic, Boots Erdington Health and Well Being Walk-In Centre, Birmingham East and North<br/>Sexual Health Clinic<br/>West Midlands<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Health Centre<br/>Health Protection Agency<br/>Agency<br/>Wiltshire<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>National Institute for Biological Standards and Control (NIBSC)<br/>Health Protection Agency<br/>Hertfordshire<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Unilever Food Solutions HQ<br/>Industry<br/>Surrey<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Doncaster Royal Infirmary, NHS Foundation Trust<br/>Hospital<br/>S. Yorkshire<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Wigan Well@ Work project - Heinz HQ<br/>Industry<br/>Greater Manchester<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>King's College Hospital, NHS Foundation Trust<br/>Hospital<br/>London<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>Wandsworth Sexual Health Clinic<br/>Sexual Health Clinic<br/>London<br/></table>
<table cellspacing='none'><tbody style='text-align:center;'><colgroup style='width: 50%;'></colgroup>
<tr style='border-bottom: 1px solid black;'>
<th style='text-align: left;'>NHS Barking and Dagenham Retuge Centre Charity London London Charity London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City
<table>
<thead>
<tr>
<td>13/01/2011</td>
<td>Sustrans Connect2 Project</td>
<td>Charity</td>
<td>Worcestershire</td>
</tr>
<tr>
<td>25/01/2011</td>
<td>Bemerton Children's Centre</td>
<td>Children's Centre</td>
<td>London</td>
</tr>
<tr>
<td>25/02/2011</td>
<td>Cobham Hospital</td>
<td>Hospital</td>
<td>Surrey</td>
</tr>
<tr>
<td>01/03/2011</td>
<td>Central Surrey Health, Leatherhead Community Hospital Guys and St Thomas' Hospital NHS Foundation Trust</td>
<td>Hospital</td>
<td>Surrey</td>
</tr>
<tr>
<td>08/03/2011</td>
<td>Chelsea & Westminster Hospital, NHS Foundation Trust - Drug Treatment Centre</td>
<td>Hospital/Drug Treatment Centre</td>
<td>London</td>
</tr>
<tr>
<td>10/03/2011</td>
<td>Derby Children's Hospital NHS Foundation Trust</td>
<td>Hospital</td>
<td>Derbyshire</td>
</tr>
<tr>
<td>17/03/2011</td>
<td></td>
<td>Centre for People with Disabilities</td>
<td>Derbyshire</td>
</tr>
<tr>
<td>17/03/2011</td>
<td>The Light House Family Nurse Partnership, Derwent Stepping Stones GlaxoSmithKline Forest Road Medical Centre NISA Convenience Stores - Wood Green (Change 4 Life)</td>
<td>Family Centre Industry Medical Centre Industry</td>
<td>Derbyshire London London London</td>
</tr>
<tr>
<td>28/03/2011</td>
<td>Frimley Park Hospital NHS Foundation Trust Alder Hey Children's Hospital, NHS Foundation Trust The Royal Berkshire Hospital, NHS Foundation Trust University College London Hospital, NHS Foundation Trust St Mary's Hospital part of Imperial University Hospitals</td>
<td>Hospital Hospital Hospital Hospital London Liverpool Berkshire London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London London City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster City of Westminster Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital Hospital HospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHospitalHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotelHotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel Hotel
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<table>
<tr><th>Date</th><th>Visit Type
of organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisation
organisaion
<tr><th>Type
of
organisatio
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n.
<tr><th>Type
of
organisatio
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion
tion.
<tr><th>Type
of
organisatio
tion
tion
tion
tion
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
tion.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organisatio
ation.
<tr><th>Type
of
organiatio
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
sion
\<page_number>8\</page_number>
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>21/07/2010</td>
<td>Oasis Dental Care Practice</td>
<td>Dentist</td>
<td>Cambridgeshire</td>
</tr>
<tr>
<td>26/08/2010</td>
<td>St Peter's Surgery</td>
<td>GP Practice</td>
<td>Lincolnshire</td>
</tr>
<tr>
<td>02/09/2010</td>
<td>GP Consortia Practice, Jordanthorpe</td>
<td>GP Practice</td>
<td>S. Yorkshire</td>
</tr>
<tr>
<td>15/09/2010</td>
<td>Lemington Centre</td>
<td>Health Centre</td>
<td>Co. Durham</td>
</tr>
<tr>
<td>22/09/2010</td>
<td>Monitor</td>
<td>Independent Regulator</td>
<td>London</td>
</tr>
<tr>
<td>28/09/2010</td>
<td>UCB Pharma Biopharma Research & Development</td>
<td>Research Centre</td>
<td>Berkshire</td>
</tr>
<tr>
<td>30/09/2010</td>
<td>Dental Practice and mobile dental van in Evesham</td>
<td>Dentist</td>
<td>Worcestershire</td>
</tr>
<tr>
<td>30/09/2010</td>
<td>Worcestershire Royal Hospital</td>
<td>Hospital</td>
<td>Worcestershire</td>
</tr>
<tr>
<td>11/10/2010</td>
<td>Barnet Hospital</td>
<td>Hospital</td>
<td>London</td>
</tr>
<tr>
<td>27/10/2010</td>
<td>Smile for Life - Woodlands Conference Centre, Chorley and Ribbleton Children's Centre</td>
<td>Conference Centre</td>
<td>Lancashire</td>
</tr>
<tr>
<td>27/10/2010</td>
<td>Cardiac and Stroke Network in Lancashire & Cumbria</td>
<td>Integrated Services</td>
<td>Lancashire</td>
</tr>
<tr>
<td>28/10/2010</td>
<td>North End Road, NHS Dentist</td>
<td>Dentist</td>
<td>London</td>
</tr>
<tr>
<td>02/11/2010</td>
<td>Lloyds Pharmacy</td>
<td>Pharmacy</td>
<td>London</td>
</tr>
<tr>
<td>09/12/2010</td>
<td>Retford Primary Care Centre, Retford Hospital, Doncaster and Bassettlaw Hospital NHS Foundation Trust</td>
<td>Integrated Care Provider</td>
<td>Nothinghamshire</td>
</tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td></th><th></th><th></th><th></th></tr><tr><td rowspan="3">14/12/2010<br>Moorfield Eye Clinic, Moorfields Eye Hospital NHS Foundation Trust<br>Royal Brompton & Harefield NHS Foundation Trust<br>Source Cafe - Health at work<br>Potomac Dental Academy<br>Brune Medical Centre<br>Imperial Academic Health Science Centre, Hammersmith Hospital, Imperial College Healthcare NHS Foundation Trust<br>NHS Shared Business Services Woodhouse Community Health Centre, Primary Care Centre<br>Unilever HQ GE Healthcare Guy's and St. Thomas' Hospital NHS Foundation Trust<br>Hillingdon Link visit (The Orchard)</table>
\<page_number>9
<table>
<thead>
<tr>
<td></td>
<td>Practice)</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>07/04/2011</td>
<td>Manchester Academic Health Science</td>
<td>University</td>
<td>Greater Manchester</td>
</tr>
<tr>
<td>12/04/2011</td>
<td>Wyvern Health Pathfinder, Taunton Road Medical Centre</td>
<td>GP Practice</td>
<td>Somerset</td>
</tr>
<tr>
<td>12/04/2011</td>
<td>Bridgwater GP Enhanced Care Hub & the Referral Management Centre</td>
<td>Management Centre</td>
<td>Somerset</td>
</tr>
<tr>
<td>12/04/2011</td>
<td>Royal United Hospital Bath NHS Trust</td>
<td>Hospital</td>
<td>Somerset</td>
</tr>
<tr>
<td>20/04/2011</td>
<td>Darlington Memorial Hospital</td>
<td>Hospital</td>
<td>Co. Durham</td>
</tr>
<tr>
<td>10/05/2011</td>
<td>Buckinghamshire Healthcare NHS Trust, Wycombe Hospital Great Ormond Street Hospital for Children</td>
<td>Hospital</td>
<td>Buckinghamshire London</td>
</tr>
<tr>
<td>12/05/2011</td>
<td>Slade Green Medical Centre</td>
<td>Medical Centre Kent</td>
<td></td>
</tr>
<tr>
<td>19/05/2011</td>
<td>Parnsons Green Health Centre</td>
<td>Health Centre London</td>
<td></td>
</tr>
<tr>
<td>26/05/2011</td>
<td>Woking Community Hospital Alliance Healthcare</td>
<td>Health Centre Surrey Industry London</td>
<td></td>
</tr>
<tr>
<td>04/07/2011</td>
<td>National Institute for Health and Clinical Excellence Royal Bolton Hospital</td>
<td>Arms Length Body Hospital Greater Manchester Integrated Care Provider Greater Manchester</td>
<td></td>
</tr>
<tr>
<td>21/07/2011</td>
<td>Pennine Partnership Practice Collins House Dental Practice Maudsley Hospital Manchester Royal Infirmary Pennine Partnership Practice</td>
<td>Dentist Herefordshire Hospital London Integrated Care Provider Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Greater Manchester Great Ormond Street Hospital for Children Slade Green Medical Centre Parsons Green Health Centre Woking Community Hospital Alliance Healthcare National Institute for Health and Clinical Excellence Royal Bolton Hospital Pennine Partnership Practice Collins House Dental Practice Maudsley Hospital<br/>Manchester Royal Infirmary<br/>Pennine Partnership Practice 21/07/2011 01/09/2011 14/09/2011 21/09/2011 21/07/2011 10
</page_number>
|
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1697-pdf
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<img>Forestry Commission logo</img> **Forestry Commission**
# Forestry Statistics 2020
## Chapter 8: Finance & Prices
Release date: 24 September 2020
Coverage: United Kingdom
Geographical breakdown: Country
Issued by: Forest Research 231 Corstorphine Road, Edinburgh, EH12 7AT Enquiries: Robert Stagg 0300 067 5238 statistics@forestresearch.gov.uk Statistician: Sheila Ward 0300 067 5236 Website: www.forestresearch.gov.uk/statistics/
<watermark>NATIONAL STATISTICS</watermark>
\<page_number>1\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Contents
Introduction .................................................................................................................. 3 Key findings .................................................................................................................. 4 8.1 Timber prices ............................................................................................................ 5 8.2 Gross value added ................................................................................................. 8 8.3 Government expenditure on public forests ....................................................... 10 8.4 Other government expenditure on forestry ...................................................... 12 8.5 Grant schemes .......................................................................................................... 14
\<page_number>2\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Introduction
This chapter contains statistics on:
- timber prices;
- gross value added (GVA);
- Government expenditure on forestry; and
- grant schemes.
Estimates for England, Wales, Scotland and Northern Ireland are included, where possible, in addition to UK or GB totals. Further information on the data sources and methodology used to compile the figures is provided in the Sources chapter.
Most of the statistics presented in this chapter have been previously released. Some of the figures for earlier years have been revised since Forestry Statistics 2019. For further details on revisions, see the Finance & Prices section of the Sources chapter.
A copy of all Finance & Prices tables can be accessed in spreadsheet format from the Data Downloads web page at www.forestreresearch.gov.uk/tools-and-resources/statistics/data-downloads/.
\<page_number>3\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Key findings
The main findings are:
- The Coniferous Standing Sales Price Index for Great Britain was 14.8% lower in real terms in the year to March 2020, compared with the previous year.
- The Softwood Sawlog Price Index for Great Britain was 18.6% lower in real terms in the 6 months to March 2020, compared with the corresponding period of the previous year.
- Gross value added (GVA) in primary wood processing (sawmilling, panels and pulp & paper) was £1.88 billion in the UK in 2018. GVA in forestry was £0.67 billion.
- Net expenditure on public forests by Forestry England and by Forestry and Land Scotland totalled £26.2 million in 2019-20. A further £89.9 million was spent by the Forestry Commission and Scottish Forestry on other activities.
- A total of £80.6 million was paid in grants by the Forestry Commission, Scottish Forestry and the Welsh Government in 2019-20.
\<page_number>4\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
**8.1 Timber prices**
Timber Price Indices are based on sales of softwood (conifers) by Forestry England, Forestry and Land Scotland and Natural Resources Wales and are released every 6 months.
The Coniferous Standing Sales Price Index monitors changes in the average price received per cubic metre for timber that Forestry England/ Forestry and Land Scotland/ Natural Resources Wales sold standing, where the purchaser is responsible for harvesting.
The Softwood Sawlog Price Index monitors changes in the average price received per cubic metre of sawlogs (roundwood with a top diameter of 14 cm or more, destined to be sawn into planks or boards) sold at roadside by Forestry England/ Forestry and Land Scotland/ Natural Resources Wales.
Standing timber and sawlogs are distinct markets and may show different price movements. The data are averages for historic periods, so may be slow to show any turning points.
These indices are used to monitor trends in timber prices and to provide information on the state of the UK timber industry. They are also used by the UK timber industry, alongside other economic indicators, in contract reviews.
There is little other information currently available on wood prices before primary processing and no price index is available for broadleaves. Prices for outputs of primary wood processing are collected by the Office for National Statistics (ONS) in the Producer Price Indices (PPIs), and these are available in the MM22 dataset which gives detailed PPIs monthly.
Table 8.1 presents the coniferous standing sales and sawlog price indices for Great Britain to March 2020.
The coniferous standing sales price index for Great Britain was 14.8% lower in real terms in the year to March 2020, compared with the previous year (Table 8.1). The softwood sawlog price index was 18.6% lower in real terms in the 6 months to March 2020, compared with the corresponding period in the previous year. These decreases follow a generally increasing trend in both indices in recent years.
\<page_number>5\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Table 8.1 Coniferous standing sales and sawlog price indices¹ for Great Britain, 2012-2020
index (period to September 2016 = 100)
<table>
<thead>
<tr>
<th rowspan="2">Year</th>
<th>Standing sales² in nominal terms³</th>
<th>Standing sales² index in real terms⁴</th>
<th>Sawlog index in nominal terms³</th>
<th>Sawlog index in real terms⁴</th>
</tr>
<tr>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>2012</td>
<td>83.9</td>
<td>90.2</td>
<td>88.2</td>
<td>95.0</td>
</tr>
<tr>
<td>2013</td>
<td>78.6</td>
<td>82.8</td>
<td>97.9</td>
<td>103.4</td>
</tr>
<tr style="background-color: lightgreen;">
<td>2014</td>
<td>90.9</td>
<td>93.9</td>
<td>109.5</td>
<td>113.4</td>
</tr>
<tr>
<td>2015</td>
<td>108.8</td>
<td>110.9</td>
<td>103.2</td>
<td>106.1</td>
</tr>
<tr style="background-color: lightgreen;">
<td>2016</td>
<td>98.5</td>
<td>99.5</td>
<td>97.1</td>
<td>98.7</td>
</tr>
<tr>
<td>2017</td>
<td>110.0</td>
<td>108.5</td>
<td>110.8</td>
<td>109.6</td>
</tr>
<tr style="background-color: lightgreen;">
<td>2018</td>
<td>143.5</td>
<td>139.2</td>
<td>133.9</td>
<td>130.1</td>
</tr>
<tr>
<td>2019</td>
<td>185.5</td>
<td>176.2</td>
<td>180.6</td>
<td>172.3</td>
</tr>
<tr style="background-color: lightgreen;">
<td>2020</td>
<td>161.0</td>
<td>150.1</td>
<td>149.7</td>
<td>140.2</td>
</tr>
</tbody>
</table>
Source: Timber Price Indices: data to March 2020 Notes:
1. The price indices constructed from information on sales by Forestry England/ Forestry and Land Scotland/ Natural Resources Wales only.
2. The standing sales index uses the Fisher method with 5 year chain linking to take account of changes in the size mix over time.
3. Nominal prices are the actual prices at that point in time.
4. Real terms values are obtained by using the GDP deflator to convert to “constant prices” (in this case prices in 2016). This allows trends in timber prices to be tracked without the influence of inflation.
5. The standing sales index excludes sales by Natural Resources Wales from April 2017.
6. Sawlog prices in Wales in the year to March 2018 include long term contract rates for the clearance of infected larch.
\<page_number>6 | Forestry Statistics 2020 | Chapter 8: Finance & Prices \</page_number> Forest Research: Statistics
Figure 8.1 Coniferous standing sales and sawlog price indices¹,² in real terms³ for Great Britain, 2012-2020
<img>
A line graph showing standing sales and sawlogs over time.
The x-axis represents period ending months (March 2012 to March 2020).
The y-axis represents Index values from 0 to 200.
Two lines represent standing sales and sawlogs:
Standing sales: Green line, starting at around 85 in March 2012, fluctuating between approximately 80 and 170 over the years.
Sawlogs: Orange line, starting at around 105 in March 2012, fluctuating between approximately 85 and 165 over the years.
Legend: standing sales - green line; sawlogs - orange line.
</img>
Source: Timber Price Indices: data to March 2020 Notes:
1. The price indices are constructed from information on sales by Forestry England/ Forestry and Land Scotland/ Natural Resources Wales only.
2. The standing sales index uses the Fisher method with 5 year chain linking to take account of changes in the size mix over time.
3. Real terms values are obtained by using the GDP deflator to convert to “constant prices” (in this case prices in 2016). This allows trends in timber prices to be tracked without the influence of inflation.
4. The standing sales index excludes sales by Natural Resources Wales from April 2017.
5. Sawlog prices in Wales in the year to March 2018 include long term contract rates for the clearance of infected larch.
\<page_number>7\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
8.2 Gross value added
Gross value added (GVA) measures the contribution to the economy of each individual producer, industry or sector in the United Kingdom. It is the difference between the value of outputs and the value of intermediate consumption, so mainly comprises employment costs and profits.
The Annual Business Survey (ABS) carried out by the Office for National Statistics (ONS) includes statistics on gross value added for different industries, classified using the UK Standard Industrial Classification (SIC 2007). Further information on the ABS is available from the ONS website.
Table 8.2 shows that, in 2018, GVA in primary wood processing (sawmilling, panels and pulp & paper) was reported to be £1.88 billion and GVA in forestry was £0.67 billion.
\<page_number>8\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Table 8.2 Gross value added in forestry and wood processing³, 2014-2018
£ million
<table>
<thead>
<tr>
<th>Standard Industrial Classification (SIC)¹</th>
<th>2014</th>
<th>2015</th>
<th>2016</th>
<th>2017</th>
<th>2018</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Forestry</strong></td>
<td>540</td>
<td>658</td>
<td>596</td>
<td>698</td>
<td>673</td>
</tr>
<tr>
<td><strong>Wood products</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Sawmilling</td>
<td>356</td>
<td>474</td>
<td>413</td>
<td>420</td>
<td>579</td>
</tr>
<tr>
<td>Panels²</td>
<td>436</td>
<td>323</td>
<td>316</td>
<td>363</td>
<td>453</td>
</tr>
<tr>
<td>Secondary products</td>
<td>1,955</td>
<td>2,478</td>
<td>2,850</td>
<td>2,532</td>
<td>2,666</td>
</tr>
<tr>
<td><strong>Total</strong></td>
<td><strong>2,747</strong></td>
<td><strong>3,275</strong></td>
<td><strong>3,579</strong></td>
<td><strong>3,315</strong></td>
<td><strong>3,698</strong></td>
</tr>
<tr>
<td><strong>Pulp, paper & paper products</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Pulp & paper</td>
<td>596</td>
<td>738</td>
<td>610</td>
<td>707</td>
<td>845</td>
</tr>
<tr>
<td>Articles of paper & paperboard</td>
<td>3,197</td>
<td>2,749</td>
<td>2,786</td>
<td>2,607</td>
<td>2,528</td>
</tr>
<tr>
<td><strong>Total</strong></td>
<td><strong>3,793</strong></td>
<td><strong>3,487</strong></td>
<td><strong>3,396</strong></td>
<td><strong>3,314</strong></td>
<td><strong>3,373</strong></td>
</tr>
<tr>
<td><strong>Total wood processing</strong></td>
<td><strong>6,540</strong></td>
<td><strong>6,762</strong></td>
<td><strong>6,975</strong></td>
<td><strong>6,629</strong></td>
<td><strong>7,071</strong></td>
</tr>
<tr>
<td><strong>Total primary wood processing </strong></td>
<td><strong>1,388 </strong></td>
<td><strong>1,535 </strong></td>
<td><strong>1,339 </strong></td>
<td><strong>1,490 </strong></td>
<td><strong>1,877 </strong></td>
</tr>
</tbody>
</table>
Source: Annual Business Survey (Office for National Statistics, May 2020) Notes:
1. Categories are based on the UK Standard Industrial Classification (SIC 2007) categories. Further details on the SIC codes used are provided in the Sources: Employment and businesses page.
2. The 2014 to 2016 and 2018 figures for panels have been suppressed in the figures released by ONS, so the figures here cover both panels and the manufacture of assembled parquet floors (SIC 16.22) for those years. Panels accounted for 99% of the total of SIC codes 16.21 (panels) and 16.22 in 2017.
3. Excludes other wood-using industries.
\<page_number>9 | Forestry Statistics 2020 | Chapter 8: Finance & Prices | \</page_number> Forest Research: Statistics
8.3 Government expenditure on public forests
Table 8.3 provides information on net expenditure on public forests by Forestry England and by Forestry and Land Scotland. This covers expenditure less income for land that is owned or managed by Forestry England/ Forestry and Land Scotland. Other expenditure by the Forestry Commission and Scottish Forestry is covered in Table 8.5.
Figures for Wales on a comparable basis are currently unavailable.
Net expenditure on public forests by Forestry England/ Forestry and Land Scotland in 2019-20 totalled £26.2 million. This comprised £22.4 million in England and £3.8 million in Scotland.
Recreation, conservation & heritage accounted for £78.7 million of the total expenditure in 2019-20, harvesting & haulage for £40.8 million and other expenditure on public forests for £107.0 million.
Timber sales generated a total income of £136.2 million in 2019-20. Recreation, conservation & heritage accounted for a further £32.0 million and other income from public forests for an additional £32.1 million.
\<page_number>10\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Table 8.3 Funding public forests - net expenditure<sup>1,2,3</sup> £ million
<table>
<thead>
<tr>
<th></th>
<th><strong>2015-16</strong></th>
<th><strong>2016-17</strong></th>
<th><strong>2017-18</strong></th>
<th><strong>2018-19</strong></th>
<th><strong>2019-20</strong></th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="6"><strong>GB</strong></td>
</tr>
<tr>
<td>Harvesting & haulage</td>
<td>37.9</td>
<td>35.9</td>
<td>36.8</td>
<td>36.4</td>
<td>40.8</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Recreation, etc.<sup>4</sup></td>
<td>67.8</td>
<td>70.9</td>
<td>72.7</td>
<td>70.2</td>
<td>78.7</td>
</tr>
<tr>
<td>Other</td>
<td>89.2</td>
<td>89.0</td>
<td>96.4</td>
<td>110.4</td>
<td>107.0</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Timber</td>
<td>-99.1</td>
<td>-104.3</td>
<td>-111.3</td>
<td>-131.2</td>
<td>-136.2</td>
</tr>
<tr>
<td>Recreation, etc.<sup>4</sup></td>
<td>-24.8</td>
<td>-29.6</td>
<td>-31.4</td>
<td>-31.5</td>
<td>-32.0</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Other</td>
<td>-26.8</td>
<td>-27.7</td>
<td>-24.8</td>
<td>-27.5</td>
<td>-32.1</td>
</tr>
<tr style="background-color: #f0f0f0;">
<th><strong>Net expenditure</strong></th>
<th><strong>44.2</strong></th>
<th><strong>34.2</strong></th>
<th><strong>38.4</strong></th>
<th><strong>26.8</strong></th>
<th><strong>26.2</strong></th>
</tr>
```
<tr style="background-color: #f0f0f0;">
<th colspan="6"><strong>England</strong></th>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Harvesting & haulage</td>
<td>10.6</td>
<td>10.6</td>
<td>11.3</td>
<td>14.0</td>
<td>16.2</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Recreation, etc.<sup>4</sup></td>
<td>45.0</td>
<td>49.7</td>
<td>49.4</td>
<td>49.4</td>
<td>57.8</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Other</td>
<td>29.2</td>
<td>31.3</td>
<td>32.9</td>
<td>38.3</td>
<td>36.6</td>
</tr>
<tr style="background-color: #e6e6e6;">
<th><br/>Timber<br/></th><br/>
</tr>
<!-- Timbers -->
<!-- Other -->
<!-- Recreation, etc.<sup>4</sup>, Other -->
<!-- Net expenditure -->
<!-- Scotland -->
```
</tbody>
<!-- Notes -->
<!-- Source: Forestry England, Forestry and Land Scotland -->
<!-- Notes: -->
<!-- 1. Expenditure by Forestry England and by Forestry and Land Scotland only. Excludes expenditure incurred by other departments.
-->
<!-- Table header -->
<!-- Table body -->
<!-- Table footer -->
<!-- Notes -->
<!-- Source -->
<!-- Notes -->
<!-- Table header -->
<!-- Table body -->
<!-- Table footer -->
<!-- Notes -->
<!-- Source -->
<!-- Notes -->
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td colspan="6"><strong>Funding public forests - net expenditure<sup>1,2,3</sup></strong></table>
<table border="1">
<tr style="background-color: #f
Forest Research: Statistics
2. Excludes notional cost of capital and any surplus/deficit on sale of properties.
3. Excludes gain on revaluation of biological assets and value of timber felled.
4. Recreation, etc. includes conservation and heritage.
8.4 Other government expenditure on forestry
Table 8.4 provides information on other expenditure (excluding public forests) by the Forestry Commission and Scottish Forestry. It includes expenditure by National Offices in England and Scotland as well as expenditure on GB level functions. Figures for Wales on a comparable basis are not currently available. Expenditure on land that is owned or managed by Forestry England/ Forestry and Land Scotland is covered in Table 8.3.
In addition to expenditure on public forests, the Forestry Commission/ Scottish Forestry spent a total of £89.8 million on other activities in 2019-20 (Table 8.4).
Together, the Forestry Commission and Scottish Forestry used £65.4 million for grants and partnership funding and £12.8 million for policy, regulation & administration in 2019-20. A further £11.6 million of funding was provided to Forest Research by Defra, the Forestry Commission and the Devolved Administrations.
\<page_number>12\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Table 8.4 Other government expenditure on forestry¹,²
£ million
<table>
<thead>
<tr>
<th></th>
<th>2015-16</th>
<th>2016-17</th>
<th>2017-18</th>
<th>2018-19</th>
<th>2019-20</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>GB</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Grants and partnership funding³</td>
<td>57.2</td>
<td>61.6</td>
<td>57.6</td>
<td>62.9</td>
<td>65.4</td>
</tr>
<tr>
<td>Policy, regulation & administration</td>
<td>13.1</td>
<td>12.2</td>
<td>11.9</td>
<td>12.1</td>
<td>12.8</td>
</tr>
<tr>
<td>Research - GB funded⁴</td>
<td>8.4</td>
<td>9.6</td>
<td>10.5</td>
<td>11.8</td>
<td>11.6</td>
</tr>
<tr>
<td>International & GB support services⁴⁶</td>
<td>32.1</td>
<td>28.4</td>
<td>25.4</td>
<td>21.6</td>
<td>0.0</td>
</tr>
<tr>
<td>Less recovery of support service costs from countries⁶</td>
<td>-20.7</td>
<td>-16.1</td>
<td>-13.1</td>
<td>-11.3</td>
<td>0.0</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td><strong>Total</strong></td>
<td><strong>90.1</strong></td>
<td><strong>95.7</strong></td>
<td><strong>92.3</strong></td>
<td><strong>97.1</strong></td>
<td><strong>89.8</strong></td>
</tr>
```
<tr style="background-color: #e6e6e6;">
<td><strong>England</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Grants and partnership funding³</td>
<td>24.8</td>
<td>24.0</td>
<td>13.8</td>
<td>8.3</td>
<td>5.8</td>
</tr>
<tr style="background-color: #e6e6e6;">
<td>Policy, regulation & administration⁵</td>
<td>1.8</td>
<td>2.2</td>
<td>1.9</td>
<td>0.7</td>
<td>0.7</td>
</tr>
<tr style="background-color: #e6e6e6;">
<th><strong>Total</strong></th>
<!-- Total row -->
</tr>
<!-- England total -->
<!-- Scotland total -->
```
</tbody>
<!-- England total -->
<!-- Scotland total -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
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<!-- Total row -->
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<!-- Total row -->
<!-- Total row -->
<!-- Total row -->
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<!-- Total row -->
<!-- Total row -->
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<!-- Total row -->
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<!-- Total row -->
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<!-- Total row -->
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Source: Forestry Commission, Scottish Forestry, Forest Research Notes: ¹ Forestry Commission/ Scottish Forestry expenditure only. Excludes expenditure incurred by other departments. ² Excludes miscellaneous income. ³ EU co-financing not subtracted from grant expenditure. In England authority for the Rural Development Programme for England (RDPE) grant scheme rests with Defra. Grant expenditure funded by Defra that is managed by the Forestry Commission is excluded from this table. ⁴ The estimates for GB funded research relate to Forest Research income from Defra, the Forestry Commission and Devolved Administrations. The increase in "Research - GB funded" and corresponding decrease in "International & GB support services" from 2015-16 \<page_number>13 | Forestry Statistics 2020 | Chapter 8: Finance & Prices | Chapter_8_Finance_and_Prices.pdf | page_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 | line_34 |line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_number|line_page_num Forest Research: Statistics
to 2016-17 largely reflect organisational change within the Forestry Commission, with the transfer of some functions into Forest Research in April 2016. 5. Country costs for "policy, regulation & administration" include shares of GB support service costs. 6. Central services were disbanded following reorganisation of the Forestry Commission in April 2019.
8.5 Grant schemes
Private sector woodland in Great Britain is supported by a range of grants for creating new woodland and managing existing woodland. The Woodland Grant Scheme (WGS) was introduced in 1988, at the same time as tax relief was phased out. In Scotland, WGS was replaced by the Scottish Forestry Grant Scheme (SFGS) in 2003, by Rural Development Contracts in 2006 and has now been replaced by the Forestry Grant Scheme. The English Woodland Grant Scheme (EWGS) was launched in July 2005 and has now been replaced by Countryside Stewardship and other grants (e.g. the Woodland Carbon Fund and the HS2 Woodland Fund). Better Woodlands for Wales (BWW) was launched in December 2005 and has now been replaced by Glastir (administered by the Welsh Government).
Because of the differences between these schemes, it is increasingly difficult to provide comparable statistics across the three countries. The following tables provide information relating to planting and grants:
- Table 1.13a and 1.13b for total areas of new planting;
- Table 1.14a and 1.14b for total areas of grant-funded restocking;
- Table 8.4 for expenditure by the Forestry Commission/Scottish Forestry on grants and partnership funding;
- Table 8.5 (below) for grant expenditure by the Forestry Commission (including grant expenditure managed by the Forestry Commission on behalf of Defra), by Scottish Forestry and by the Welsh Government.
\<page_number>14\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices Forest Research: Statistics
Table 8.5 presents information on grant money paid in 2010-11 to 2019-20. A total of £80.6 million was paid in grants in 2019-20, a 5% increase from the total for the previous year.
At a country level, £52.2 million was paid in grants in Scotland in 2019-20 (an increase of 4% from the previous year), £22.4 million was paid in England (a 9% increase) and £6.0 million in Wales (an increase of 1%).
**Table 8.5 Grant money paid, 2010-11 to 2019-20**
| Year | England¹ | Wales² | Scotland³ | GB | |---|---|---|---|---| | 2010-11 | 28.7 | 3.8 | 18.9 | 51.4 | | 2011-12 | 32.5 | 5.4 | 34.2 | 72.1 | | 2012-13 | 32.8 | 5.0 | 32.3 | 70.1 | | 2013-14 | 33.9 | 4.1 | 35.5 | 73.5 | | 2014-15 | 32.4 | 1.8 | 39.2 | 73.4 | | 2015-16 | 23.0 | 3.6 | 27.5 | 54.1 | | 2016-17 | 23.8 | 3.3 | 30.5 | 57.5 | | 2017-18 | 13.5 | 4.7 | 37.9 | 56.1 | | 2018-19 | **20.5** | **5.9** | **50.2** | **76.6** | | 2019-20 | **22.4** | **6.0** | **52.2** | **80.6** |
Source: Forestry Commission, Scottish Forestry, Welsh Government Notes:
1. England includes grant scheme expenditure managed by the Forestry Commission on behalf of Defra.
2. Wales relates to grant paid by the Welsh Government.
3. Scotland includes grants paid under the Forestry Grant Scheme and legacy schemes (including Rural Development Contracts).
\<page_number>15\</page_number> I Forestry Statistics 2020 I Chapter 8: Finance & Prices Forest Research: Statistics
The total grant money paid in Great Britain has fluctuated over recent years, with levels often dipping around the times that new grant schemes are introduced, followed by a sharp recovery.
**Figure 8.2 Grant money paid in Great Britain, 2003-04 to 2019-20**
<img>A bar chart showing grant money paid in Great Britain (£ million) from 2003-04 to 2019-20. The x-axis shows years, from 2003-04 to 2019-20. The y-axis shows £ million, ranging from 0 to 90. The legend indicates three categories: England (green), Wales (light grey), Scotland (orange). Each year's data is represented by three bars stacked on top of each other, with the leftmost bar representing England, the middle bar representing Wales, and the rightmost bar representing Scotland. For example, in 2003-04, the leftmost bar is about 15, the middle bar is about 15, and the rightmost bar is about 35. In 2019-20, the leftmost bar is about 25, the middle bar is about 15, and the rightmost bar is about 65.</img>
Source: Forestry Commission, Scottish Forestry, Welsh Government Notes:
1. England includes grant scheme expenditure managed by the Forestry Commission on behalf of Defra.
2. Wales relates to grant paid by the Welsh Government.
3. Scotland includes grants paid under the Forestry Grant Scheme and legacy schemes (including Rural Development Contracts).
\<page_number>16\</page_number> | Forestry Statistics 2020 | Chapter 8: Finance & Prices
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<img>DJS RESEARCH logo</img>
The National Archives Finding Archives Resources Summary Report
Published: 17th January 2012
Prepared by: Sharon Nichols, Research Director Tel: 01663 732721 Email: snichols@djsresearch.com Website: http://www.djsresearch.co.uk Introduction and Objectives
The National Archives has conducted market research to gather feedback on the online resources which it hosts which detail material held by other repositories. This is aligned with the goal for improved online access for archive resources, as identified in the *Archives for the 21st Century*. This research focuses on understanding stakeholder requirements for these resources in the future. Specifically, the research objectives were as follows:
**Objective 1:** To understand external stakeholder requirements for The National Archives’ online resources that detail material held by other repositories (a definition of stakeholders is presented in the appendix 1)
**Objective 2:** To consolidate requirements gathered from external stakeholders with requirements gathered at internal workshops with The National Archives’ staff
**Objective 3:** To understand the functionality required of these resources by stakeholders
This research focussed on the following online resources hosted by The National Archives:
- National Register of Archives
- Manorial Documents Register
- Hospital Records Database
- Accessions to Repositories
- Access To Archives
- Archon Directory
The research did not focus on The National Archives own catalogue.
Methodology
**Internal Research:** Initially, The National Archives, conducted internal stakeholder workshops to gather information on key issues for internal and external users and contributors as viewed by staff.
**Qualitative External Research:** 5 focus group discussions with both contributors to, and users of, The National Archives’ online resources were conducted across England, Scotland and Wales. In addition to this, 10 face to face depth interviews were conducted with interest group representatives, other archive networks and 9 telephone depth interviews were conducted with general users.
**Quantitative External Research:** An open survey was carried out online to generate a prioritised list of requirements; 179 responses were collected. This survey sat on The National Archive’s website between 25th November 2011 and 13th December 2011. The same survey was also sent to 84 stakeholders and the response rate to this was 35. All those who responded to the online survey were screened to check that they were aware of at least one of the resources that the research focussed on and had either used or contributed to at least one of them in the last 12 months.
Throughout the research with external stakeholders, respondents were asked to think of The National Archives online resources which detail material held by other repositories (as outlined earlier). Please note that feedback was not sought on a resource by resource basis.
The National Archives – Finding Archives Project – Summary Report \<page_number>2\</page_number> About this document This document summarises key findings from the external research, conducted by DIS Research Ltd. It is worth noting that the research that was conducted internally amongst The National Archives staff did reveal similar themes to those which arose with external stakeholders.
A positive reaction to the research With 214 responses to the online survey and over 50 external stakeholder views received through the qualitative research process, the research includes a wide range of views from different types of repositories and users of The National Archives online resources. Many of those that we spoke to in the qualitative research had to travel a long way to participate in the research. DIS Research and The National Archives wish to thank all of those who participated in the research for their time and comments. These views will help The National Archives to shape these resources moving forward.
The National Archives’ online resources are invaluable The research did reveal a number of issues with these online resources, but it is worth noting that the resources themselves were considered to be valuable by respondents. The following comment is typical: “I can’t imagine working without any of these resources.”
However, respondents felt that the resources were developed in a less advanced digital age and there is scope to make them better – it is now possible to do much more given technological advances.
Key themes emerging from the qualitative research
Expectations for The National Archives online resources which detail material held by other repositories are shaped by what is possible to achieve with other information discovery websites. Requirements and desires for The National Archives online resources are heavily inspired by respondents’ experiences of using other popular websites such as eBay, BBCnews, google™, amazon.com, expedia (“A lot of the time on the BBC you can get to where you want without having to type in a single letter. You go to the home page and away you go.”). Needs such as a good search function, summary and in depth information and added value extras (links to Google Earth™, alternative interest points, intuitive search) are all taken from such websites.
The process of contributing information to The National Archives is problematic: Contributors also feel that the process of contributing information was frustrating and could be made easier by having fewer resources to update, better communications with The National Archives, clearer guidance and templates for providing information, greater feedback on information provided and more autonomy to update information remotely. The issue of cataloguing was a common theme amongst contributors discussing providing information: they recognise this as a sector-wide issue and look to The National Archives to provide guidance. Contributors were, however, quick to recognise the difficulty of providing a system to suit all institutions’ differing needs for providing information. The challenge, they said, arose from the differences in types of information held and also differences in available resource between different types of organisation.
The search function is extremely important: The ease and success of a search determines a users’ assessment of a website or resource, and respondents’ benchmark search function is definitely Google™. Although there seems to be no standard search profile (i.e. users search The National Archives resources in all sorts of different ways), there are
The National Archives – Finding Archives Project – Summary Report \<page_number>3\</page_number> some key requirements which emerge: to be able to perform an advanced search is the most important followed by being able to filter searches. Respondents also wanted to be able to search a specific resource.
**Cataloguing standards are a sector-wide issue:** Throughout the discussions, respondents raised the issue of cataloguing and standards. Users are frustrated by and wary of information returned from archival searches that are so varied in content and format, using language that is very technical in nature. In the qualitative research, respondents were all asked to search for the same piece of catalogue information. The results revealed that people started in all sorts of different places, and obtained different search results depending on how they conducted their search: respondents experienced the impact of non-standardised cataloguing first-hand.
**Awareness is an issue** Some Respondents felt that the inexperienced user may not know that these resources exist, and may struggle to find them as a result (some experienced stakeholders struggled to find these resources on The National Archives website). Some felt that less knowledgeable users may be more likely to expect to find catalogue information via Google™.
**Key insights from the quantitative research**
The online survey was based around a list of attributes (or requirements for an information discovery tool which would host The National Archives online resources detailing information held by other repositories). These attributes were generated from findings from the qualitative research. Respondents were asked to assign from 0 – 100 points per attribute, with 100 being extremely important and 0 being not important at all.
The attributes focused on a range of areas identified as being important from the qualitative research:
- The process of contributing information (asked of contributors only)
- Entering the site and navigation
- Undertaking a search
- Refining the search
- Context and information provided as a result of the search
- What you can do with the search results (i.e. added value features)
- Access information for the records themselves
There were 47 attributes in total, and these attributes have then been ranked according to the mean score (average score) out of 100. The top 10 most important attributes are as follows (Note that there is an appendix which shows the full list of prioritised attributes):
<table>
<thead>
<tr>
<th>Rank</th>
<th>Attribute</th>
<th>Mean Score</th>
<th>Process</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>Ability to perform an advanced search [210]</td>
<td>88.74</td>
<td>Undertaking a search</td>
</tr>
<tr>
<td>2</td>
<td>Ability to filter search results once they have been returned [213]</td>
<td>86.37</td>
<td>Refining the search</td>
</tr>
<tr>
<td>3</td>
<td>Your own collection reference numbers prioritised over other unique identifier [97]</td>
<td>85.68</td>
<td>Updating information (contributor only)</td>
</tr>
<tr>
<td>4</td>
<td>Presentation of results in a context which makes clear which collection each result relates to [211]</td>
<td>85.26</td>
<td>Context and information</td>
</tr>
<tr>
<td>5</td>
<td>A clearly signposted search box for these resources on The National Archives website [211]</td>
<td>83.67</td>
<td>Entering the site and navigation</td>
</tr>
<tr>
<td>6</td>
<td>Information about whether the document can be viewed online [213]</td>
<td>82.21</td>
<td>Access information</td>
</tr>
<tr>
<td>7</td>
<td>Search results that include variations on the search term [210]</td>
<td>81.41</td>
<td>Undertaking a search</td>
</tr>
<tr>
<td>8</td>
<td>Information about requirements for permission to access the original document [213]</td>
<td>80.57</td>
<td>Access information</td>
</tr>
<tr>
<td>9</td>
<td>Option to choose a specific National Archives resource to search [212]</td>
<td>80.08</td>
<td>Undertaking a search</td>
</tr>
<tr>
<td>10</td>
<td>Single resource to update not several [96]</td>
<td>79.26</td>
<td>Updating information (contributor only)</td>
</tr>
</tbody>
</table>
Figure in brackets—base size for each attribute. The National Archives – Finding Archives Project – Summary Report \<page_number>4\</page_number> It is clear looking at the top 10 attributes that effective search functions are crucially important to successful online resources. Respondents want a clearly signposted search box and the option to search specific resources. They want mechanisms to perform an advanced search, to filter search results, which would include variations on the search term.
There was a lot of detail contained within these 47 attributes. To summarise an additional question was included in the research to understand where the balance of opinion lay. For example, did people want:
- Volume of data displayed (i.e. high number of results) vs quality of data displayed (most relevant results returned)
- Breadth (high level information about collections of data) vs Depth (detailed information about catalogues)
- Structured or filtered search vs a free text search
- Content of the collection and/or item vs Context of the collection and/or item
- Links to data held externally to The National Archives vs Data held internally by The National Archives
Respondents were asked to move a slide scale for each towards the option they most preferred. The results are shown in Appendix 4. It was clear from this exercise that respondents wanted the results to be of high quality with lots of detailed content.
**Conclusions**
The findings showed that effective search functions are crucially important to successful online resources. Respondents want a clearly signposted search box and the option to search specific resources. They want mechanisms to perform an advanced search, to filter search results, which would include variations on the search term.
Improving the processes of contributing information to the online resources is also revealed to be a priority, contributors felt strongly in favour of having a single resource to update rather than several and want to feel that the systems are built around their needs i.e. having their own collection reference number prioritised over any others.
However, this isn’t to say that the other factors that were included in the research are not important. They are simply less important in the context of this research than other factors, and will be more important for some people. It is therefore important to not lose sight of other issues which came lower down the list. We term these as ‘enhancing factors’. Users will expect good levels of service or functionality from the most important factors as a matter of course – if this isn’t possible a supplier will find it very difficult to satisfy customers or stop them going elsewhere. Conversely, most of the added value attributes included in this research (for example, links to Google Earth™, news alerts, links to other sites, user profiles) fall towards the end of the list of prioritised attributes and can therefore be considered long term goals or **enhancers**. These are added extras, which can also positively influence the user experience and ‘delight’ users.
**Next Steps**
The next steps for The National Archives will be to consolidate these results with the findings of the internal workshops (which revealed similar themes), and identify key actions.
The National Archives – Finding Archives Project – Summary Report \<page_number>5\</page_number> Appendix 1: Definitions of stakeholders
Definitions of stakeholders include:
- **Contributors to resources** – those who provide information to The National Archives online resources which detail information held by other repositories
- **Users of resources** – those who use these resources, including archive professionals, academics and those using the resources to research personal interests, whose details were collected through the quantitative research. From quant. Note that in the qualitative research we did not include those who use the resources to forward personal interests
- **Organisations** which represent the archive sector
The National Archives – Finding Archives Project – Summary Report \<page_number>6\</page_number> Appendix 2
<table>
<thead>
<tr>
<th>Attribute</th>
<th>Score</th>
</tr>
</thead>
<tbody>
<tr>
<td>Ability to perform an advanced search (210)</td>
<td>88.74</td>
</tr>
<tr>
<td>Ability to filter search results once they have been returned (213)</td>
<td>86.37</td>
</tr>
<tr>
<td>Your own collection reference numbers prioritised over other unique identifier (97)</td>
<td>85.68</td>
</tr>
<tr>
<td>Presentation of results in a context which makes clear which collection each result relates to (211)</td>
<td>85.26</td>
</tr>
<tr>
<td>A clearly signposted search box for these resources on The National Archives website (211)</td>
<td>83.67</td>
</tr>
<tr>
<td>Information about whether the document can be viewed online (213)</td>
<td>82.21</td>
</tr>
<tr>
<td>Search results that include variations on the search term (210)</td>
<td>81.41</td>
</tr>
<tr>
<td>Information about requirements for permission to access the original document (213)</td>
<td>80.57</td>
</tr>
<tr>
<td>Option to choose a specific National Archives resource to search (212)</td>
<td>80.08</td>
</tr>
<tr>
<td>Single resource to update not several (96)</td>
<td>79.26</td>
</tr>
<tr>
<td>Ability for repository to update information directly on The National Archives resources (96)</td>
<td>79.06</td>
</tr>
<tr>
<td>High visibility of resources on the National Archives website (209)</td>
<td>78.52</td>
</tr>
<tr>
<td>Inclusion of data from multiple online sources (i.e. AIM 25) (201)</td>
<td>77.62</td>
</tr>
<tr>
<td>Repository able to upload data directly into system, using templates provided by The National Archives (96)</td>
<td>76.83</td>
</tr>
<tr>
<td>Simple and easy to use layout similar to Google® (211)</td>
<td>76.57</td>
</tr>
<tr>
<td>Statistics on usage of my data (97)</td>
<td>75.74</td>
</tr>
<tr>
<td>Ability to forward or download search results (209)</td>
<td>75.50</td>
</tr>
<tr>
<td>Ability to perform a simple search of all the NATA archives online resources (211)</td>
<td>75.04</td>
</tr>
<tr>
<td>Description of the whole collection and individual items within the collections (200)</td>
<td>74.26</td>
</tr>
<tr>
<td>Information about the archival institution holding the original document (i.e. opening hours) (212)</td>
<td>73.80</td>
</tr>
<tr>
<td>Results displayed in order of relevance (210)</td>
<td>73.76</td>
</tr>
<tr>
<td>Ability to download information about individual catalogues, collections and repositories (210)</td>
<td>73.30</td>
</tr>
<tr>
<td>Automatic harvesting of info but with an alternative for repositories that don't hold data electronically (96)</td>
<td>72.24</td>
</tr>
</tbody>
</table>
<img>A bar chart showing mean scores out of 100 for various attributes related to searching and accessing archives online.</img>
Mean score out of 100
Contributor only attributes
The National Archives – Finding Archives Project – Summary Report \<page_number>7\</page_number> Appendix 3
<table>
<thead>
<tr>
<td></td>
<td></td>
<td>Mean score out of 100</td>
</tr>
</thead>
<tbody>
<tr>
<td>All search results listed no matter how many (206)</td>
<td></td>
<td>69.27</td>
</tr>
<tr>
<td>Regular import to The National Archives system (89)</td>
<td></td>
<td>69.18</td>
</tr>
<tr>
<td>User guides (212)</td>
<td></td>
<td>68.89</td>
</tr>
<tr>
<td>Ability to bookmark individual results (209)</td>
<td></td>
<td>68.68</td>
</tr>
<tr>
<td>Ability to save searches (209)</td>
<td></td>
<td>68.13</td>
</tr>
<tr>
<td>Name authorities can be created by contributor and uploaded (97)</td>
<td></td>
<td>67.59</td>
</tr>
<tr>
<td>Suggestions for alternative search terms that may be of interest (209)</td>
<td></td>
<td>65.41</td>
</tr>
<tr>
<td>Contextual information about the types of records (209)</td>
<td></td>
<td>64.42</td>
</tr>
<tr>
<td>Contextual information about the people, organisations and places referred to in the collection (207)</td>
<td></td>
<td>63.84</td>
</tr>
<tr>
<td>Ability to search resources directly from Google® (208)</td>
<td></td>
<td>62.42</td>
</tr>
<tr>
<td>Name authorities can be contributed by professional archivists only (94)</td>
<td></td>
<td>62.34</td>
</tr>
<tr>
<td>Usage of non technical terms (205)</td>
<td></td>
<td>61.50</td>
</tr>
<tr>
<td>Contextual information about the archival institution holding the records (211)</td>
<td></td>
<td>60.83</td>
</tr>
<tr>
<td>Links to other sites which may be of interest (211)</td>
<td></td>
<td>59.49</td>
</tr>
<tr>
<td>News alerts when something new is added to a catalogue of interest (207)</td>
<td></td>
<td>57.81</td>
</tr>
<tr>
<td>Glossary of key terms (210)</td>
<td></td>
<td>57.73</td>
</tr>
<tr>
<td>Ability to add or annotate the information once retrieved (207)</td>
<td></td>
<td>51.40</td>
</tr>
<tr>
<td>Summary information about the whole collection only (204)</td>
<td></td>
<td>51.30</td>
</tr>
<tr style="background-color: #f0f0f0;">
<td colspan="3">Descriptive content available as open data (91) 49.57</td>
</tr><tr style="background-color: #f0f0f0;">
<td colspan="3">Being able to create a user profile (204) 44.42</td></tr><tr style="background-color: #f0f0f0;">
<td colspan="3">Entry point that allows you to distinguish what type of user you are (204) 43.67</td></tr><tr style="background-color: #f0f0f0;">
<td colspan="3">Detailed descriptions of individual items within collection without summary info about collection as a whole (205) 41.66</td></tr><tr style="background-color: #f0f0f0;">
<td colspan="3">Links to Google® Earth to allow you to see where the repository is (208) 35.57</td></tr><tr style="background-color: #f0f0f0;">
<td colspan="3">Name authorities that can be edited by other users (93) 31.81</td></tr><tr style="background-color: #f0f0f0;">
<th colspan="3">Contributor only attributes</th></tr><tr style="background-color: #f0f0f0;">
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<th colspan="3"></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3"></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3"></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3"></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3"></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3"></th></tr><tr style="background-color: #f0f0f0;">
<th colspan="3"></th></tr><tr style="background-color: #eaeaea">
<th colspan="3" align=center>"Contributor only attributes"</th></tr><tr style="background-color: #eaeaea">
<th colspan="3" align=center>"Mean score out of 10"</th></tr><tr style="background-color: #eaeaea">
<th colspan="3" align=center>The National Archives – Finding Archives Project – Summary Report <page_number>8</page_number></th></tr><tr style="background-color: #eaeaea">
<th colspan="3" align=center>"Contributor only attributes"</th></tr><tr style="background-color: #eaeaea">
<th colspan="3" align=center>"Mean score out of 1"
Appendix 4
Key Themes – Where Does The Balance Of Opinion Lie?
Q. For each of the following pairs of attributes, please move the sliding scale towards the option that most interests you if both are equally important, leave it in the middle.
<table>
<tr>
<td>Volume</td>
<td>13</td>
<td>15</td>
<td>17</td>
<td>19</td>
<td>21</td>
<td>23</td>
<td>25</td>
<td>27</td>
<td>29</td>
<td>31</td>
<td>33</td>
<td>35</td>
<td>37</td>
<td>39</td>
<td>41</td>
<td>43</td>
<td>45</td>
<td>47</td>
<td>49</td>
<td>51</td>
<td>53</td>
<td>55</td>
<td>57</td>
<td>59</td>
<td>61</td>
<td>63</td>
<td>65</td>
<td>67</td>
<td>69</td>
<td>71</td>
<td>73</td>
</tr>
<tr>
<td>Breadth</td>
<td>22</td>
<td>24</td>
<td>26</td>
<td>28</td>
<td>30</td>
<td>32</td>
<td>34</td>
<td>36</td>
<td>38</td>
<td>40</td>
<td>42</td>
<td>44</td>
<td>46</td>
<td>48</td>
<td>50</td>
</tr>
<tr>
<td>Structured Search</td>
<td>34</td>
<td>36</td>
<td>38</td>
<td>40</td>
<td>42</td>
<td>44</td>
<table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table></tr><tr><<td colspan="16">Content of collection/item Users' higher than content held by TNA Context of collection/ item Data held by TNA Links to data held externally to TNA % of respondents % of respondents 0% 20% 40% 60% 80%</tr></tbody></table>
Base: All Respondents (N=14)
The National Archives – Finding Archives Project – Summary Report \<page_number>9\</page_number>
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<img>HM Revenue & Customs logo</img>
# Appendix 16
## Supplementary draft guidance
THE UK PROPERTY RICH COLLECTIVE INVESTMENT VEHICLES (AMENDMENT OF THE TAXATION OF CHARGEABLE GAINS ACT 1992) REGULATIONS 2020
<watermark>DRAFT</watermark>
# Introduction
This supplementary draft guidance explains the changes made to Schedule 5AAA to the Taxation of Chargeable Gains Act 1992 (TCGA 1992) by the UK Property Rich Collective Investment Vehicles (Amendment of the Taxation of Chargeable Gains Act 1992) Regulations 2020. Those regulations were laid on 19 March 2020 and are expected to come into force on 10 April 2020. The explanatory memorandum published alongside the regulations provides details of when each of the provisions comes into effect, and further guidance is provided below.
This note, the existing draft guidance available, and the published legislation, should be read alongside one another. The existing draft guidance, and this supplementary guidance, will be updated and published in final form as soon as practicable.
The changes made by the regulations have been informed by responses from industry to the draft regulations published on 19 September 2019, both written and provided face to face over a course of meetings with relevant representative bodies and advisory firms.
<watermark>DRK</watermark>
\<page_number>Page 1 of 17\</page_number> **Background**
The UK Property Rich Collective Investment Vehicles (Amendment of the Taxation of Chargeable Gains Act 1992) Regulations 2020 ('the regulations') amend Schedule 5AAA of the Taxation of Chargeable Gains Act 1992 ('TCGA 1992') introduced in Finance Act 2019.
Schedule 5AAA sets out the rules relating to 'UK property rich' collective investment vehicles (CIVs) and their investors. The legislative context of the regulations is set out in section 6 of the explanatory memorandum, which explains in high level terms the scope of the changes made. The policy background is set out in section 7 of the explanatory memorandum.
This guidance provides additional commentary on the practical effect of the changes. It assumes that readers are familiar with the scope of the rules set out in the relevant legislation and previously published draft guidance.
<watermark>DRAFT</watermark>
\<page_number>Page 2 of 17\</page_number> **Overview of changes made by the regulations**
The regulations make changes to the following aspects of the provisions in Schedule 5AAA --
- the scope of the term ‘collective investment vehicle’;
- interaction with the rules in Schedule 1A TCGA 92 that provide exceptions from a company being UK property rich;
- the making of annual Partnership Returns where transparency elections have been made, information to be provided when making an election, and extension to the time limit for making an election;
- the conditions applicable to CIVs making exemption elections;
- the rules applicable to certain institutional investors when they invest indirectly in CIVs through particular holding structures.
The regulations also contain some minor corrections and clarifications.
This guidance provides further details regarding the scope and effects of the amendments.
<watermark>DRAFT</watermark>
\<page_number>Page 3 of 17\</page_number> **Definition of a collective investment vehicle**
The term ‘collective investment vehicle’ (‘CIV’) is defined at paragraph 1(1) of Schedule 5AAA.
Paragraph 1 lists various types of CIV that may be used to hold UK property, the intention being to broadly capture the universe of fund types that may be used for that purpose. The definition is important as, taken together with the expressions “offshore collective investment scheme” and a CIV being “UK property rich” introduced in paragraphs 2 and 3, it provides the foundations for the rules applicable to CIVs and their investors. Entities that do not come within the definition, and their investors, are instead subject to the ‘core rules’ set out in Schedule 1A of TCGA 1992.
**UK Real Estate Investment Trusts (“UK REITs”)**
Paragraph 1(1)(c) as introduced included “a company which is a UK REIT” within the definition of a CIV. A REIT, or Real Estate Investment Company, is a type of listed property company and legislation in Part 12 of the Corporation Tax Act 2010 provides tax rules relevant to such companies.
A UK REIT may be a company REIT or a group REIT. A group REIT consists of a principal company and its subsidiaries. However, the principal company itself is not a ‘UK REIT’ for the purposes of Part 12, rather it is the group as a whole. The legislation as introduced did not include the principal company of a group UK REIT, contrary to intention. Regulation 3(a) corrects this, so that both single company UK REITs and the principal company of a group UK REIT are included within the definition of a CIV.
The practical impact of this is that non-resident investors with a less than 25% interest in the principal company of a group UK REIT that is UK property rich will not have been treated as having a substantial indirect interest in the company prior to it coming within the definition of a CIV, and consequently gains made on disposals of such interests are not within the charge to UK tax. From the date the regulations take effect all investors with an interest in a group UK REIT that is UK property rich will be treated as having a substantial indirect interest for the purposes of Schedule 1A.
**Non-resident property companies similar to UK REITs**
**Scope of definition**
Paragraph 1(4d) and paragraph 2 as introduced were intended to capture non-resident UK property rich companies that are similar to UK REITs. Regulations 3(c) to (h) make changes to ensure that the rules work as intended.
The changes made by regulation 3(b) ensure that only principal, and not subsidiary, companies of non-resident property groups come within the definition of a CIV. This is with one exception, so that a subsidiary company that is 99% or more owned by a qualifying investor (broadly, an institutional investor such as
\<page_number>Page 4 of 17\</page_number> another type of CIV or a pension fund, for example) also comes within the definition. This broadly mirrors the position for UK REITs and the change means that, except as noted, subsidiary companies will not come within the definition of a CIV.
Regulation 3(b) operates by substituting subparagraph 1(d) of the Schedule with new subparagraphs 1(d) to (f). Those subparagraphs include particular types of companies that are not resident in the UK, and that meet the ‘property income condition’ (see below), within the definition of a CIV
- Subparagraph 1(d) includes companies that are not a member of a group;
- Subparagraph 1(e) includes the principal company of a group that is not a close company or is a close company but only because it has a qualifying investor as a direct or indirect participant;
- Subparagraph 1(f) includes a company that is a member of a group but is not the principal company of that group, and is a close company but only because it has a qualifying investor, or a company wholly (or almost wholly) owned by qualifying investors, as a direct participant.
Whether a company is a member of a group, or is the principal company of a group, is determined in accordance with section 170 TCGA 1992.
The term ‘qualifying investor’ is defined at paragraph 46(3) and includes entities within section 528(4A) of CTA 2010, with some modifications to ensure that such entities are widely held where appropriate. The term is further modified for the purposes of paragraph 1 by regulation 3(e) so as to exclude qualifying companies and qualifying funds that are the subject of a paragraph 12 exemption election.
Subparagraphs 1(d) to (f), together with the property income condition, therefore capture non-resident companies that are broadly equivalent to UK REITs. Subparagraph 1(f) in broadly mirrors the requirement for a UK REIT to not be close other than because it is owned by one or more qualifying institutional investors within section 528(4A). This would, for example, permit a company to qualify as a UK REIT if it is close because it is wholly or partly owned by a pension fund as defined in section 150(1) of Finance Act 2004, and similarly a non-resident company that is so owned and meets the property income condition will be within the definition of a CIV.
**Property income condition**
Paragraph 2 of Schedule 5AAAA has been amended so that it deals only with companies within revised subparagraph 1(d). New paragraph 2A deals with companies within subparagraphs 1(e) and (f).
The changes made ensure that the property income condition works as intended. In particular, they—
- Clarify that it is the distribution of profits other than those of a capital nature, rather than income, that is being tested, and
- Clarify the position as regards income and profits of groups.
\<page_number>Page 5 of 17\</page_number> Effect of the changes
These changes mean that certain entities that are currently eligible to make an exemption election will no longer be able to do so once Schedule 5AAA has been amended. So, a company that falls within the original subparagraph 1(d) would no longer meet the definition of a CIV if it is not a singleton company, the principal company of a group, or within the new subparagraph 1(f).
For a company that no longer comes within the definition of a CIV, and that has made a paragraph 12(2) exemption election, any disposal by an entity covered by the election up to the commencement date is exempt, and investors are treated as continuing to hold their interests up until that date unless they make a disposal. From the commencement date, if the applicable exemption conditions are no longer met then, in accordance with paragraph 20, affected elections cease to have effect from that time in relation to disposals made thereafter. Investors are treated as making a deemed disposal on that date in accordance with paragraph 22. Any gains are then treated as accruing to investors in accordance with paragraph 23, that is at the end of the period of three years beginning with the time of the deemed disposal, unless an actual disposal has been made or an amount has been received that would be dealt with under paragraph 21.
In practice this scenario is unlikely to arise as fewer than 30 paragraph 12(2) elections had been received as at 2 March 2020.
<watermark>DRI</watermark>
\<page_number>Page 6 of 17\</page_number> Interaction with the rules in Schedule 1A TCGA 92
Interaction between Schedules 1A and 5AAA TCGA 1992
Non-UK resident persons are chargeable to UK tax where a gain arises on disposal of an interest in an asset that derives 75% or more of its gross asset value from UK land, and the person making the disposal has a substantial indirect interest in that land. These principles are provided for in section 1A(3)(c) of TCGA 1992 for CGT, and section 2B(4)(b) of TCGA 1992 for Corporation Tax purposes.
The rules for establishing whether the conditions that must be met in order for a chargeable disposal to have occurred are in Schedule 1A to TCGA 1992.
Paragraphs 5 and 6 of Schedule 1A provide exceptions to treating a company as UK property rich where, broadly, the UK property is used in a trade, or is disposed of as part of a series of linked transactions that, if made by a hypothetical single holding company, would not be subject to tax.
Paragraph 3 of Schedule 5AAA determines when a CIV or company is UK property rich for the purposes of Schedule 5AAA. The question whether a CIV or company is “UK property rich” at any time is determined by applying the rules in Part 2 of Schedule 1A with certain modifications.
The interaction of the rules in paragraphs 5 and 6 of Schedule 1A, and paragraph 3 of Schedule 5AAA, mean that there may be scenarios where a CIV that is clearly UK property rich on any objective measure may nonetheless be determined not to be so because of the availability of a exception within Schedule 1A to an interest being UK property rich. That exception may be capable of being determined at different points within the life of an entity, which could result in difficulties in monitoring the position. A consequence of being determined not to be a UK property rich CIV is that the entity would not be able to make an election for transparency under paragraph 8 of Schedule 5AAA, or for exemption under paragraph 12 of that schedule, where it would otherwise qualify to do so.
The changes made by regulation 4 provide that no account is to be taken of paragraphs 5 and 6 of Schedule 1A when considering the test for UK property richness in paragraph 3 of Schedule 5AAA.
The changes have effect from the commencement date, so do not apply retrospectively. This is because, taken together with the changes made by regulation 14 (see below), they potentially have a taxing effect as investors in CIVs that are now to be regarded as UK property rich will be within the charge to tax on gains on relevant disposals. However, such CIVs will (where eligible) be able to make a transparency or exemption election so that there is no tax on gains at CIV level.
The deadline for making a transparency election is extended in particular circumstances by regulations 18 and 19 to allow fund managers more time to consider the effect of these changes –
- For CIVs existing at at 6 April 2019, regulation 18 amends paragraph 49 so that paragraph 9(1)(c) has effect as if it permitted the election under paragraph 8 to be made before 1 October 2020;
\<page_number>Page 7 of 17\</page_number> For CIVs constituted on or after 6 April 2019, regulation 19 introduces new paragraph 49A which provides that paragraph 9(1)(c) has effect as if it permitted the election under paragraph 8 to be made before whichever is the later of the end of the period mentioned in paragraph (1)(c), or 1 October 2020. For example, a CIV constituted on 1 June 2019 that first acquired an interest in UK land, or a right or interest in a company that is UK property rich, on 1 July 2019, the previous deadline for making a paragraph 8 election would have been 30 June 2020 but paragraph 49A extends that to 1 October 2020.
Unlike the position for a transparency election, there is no hard deadline by which an election must be made under paragraph 12. Instead, paragraph 17 provides that –
- an election under paragraph 12 must specify the day from which it is to have effect;
- the election has effect in relation to disposals on or after the day specified in the election; a day may be specified in the election even if it falls before the day on which the election is made; but
- a day that falls more than 12 months before the day on which the election is made may be specified only if an officer of Revenue and Customs consents.
Paragraph 17(6) provides that for this purpose consent may be given generally (for example, by describing in a notice published by an officer of Revenue and Customs, cases in which consent is deemed to be given), or consent may be given in relation to particular cases. If an election is made subsequent to the commencement date of the regulations then this note may be taken as confirmation that HMRC will consent to it being made (subject to the relevant conditions having been met) where it is made before 1 October 2020, even where that date is more than 12 months after a relevant disposal.
**New paragraph 33A** Regulation 14 inserts new paragraph 33A into Schedule 5AAA, so that investors making disposals of interests in qualifying funds or qualifying companies for which an exemption election has been made will not be entitled to relief under paragraphs 5 or 6 of Schedule 1A. This ensures that tax is paid by non-exempt investors when they dispose of interests in a CIV that does not itself pay tax on its gains, as intended. This change takes effect from the commencement date.
\<page_number>Page 8 of 17\</page_number> **Transparency elections**
CIVs that make transparency or exemption elections are subject to requirements to provide certain information either at the time of making the election and/or at some specified future date.
Regulation 7 clarifies rules about the provision of partnership returns for CIVs that have made the transparency election. In particular, it provides that Section 12AA of the Taxes Management Act applies as if it authorised a single notice under subsection (2) or (3) requiring the making and delivery of an annual partnership return regardless of whether any partnership property has been disposed of. Such a return is only required to show the amount in which each partner is chargeable to tax on chargeable gains, so does not need to include details of the income of the CIV.
Regulation 8 inserts a new statutory requirement to provide investors’ details to HMRC on the making of a transparency election. This change takes effect for elections made on or after the commencement date.
The details required are—
- the participant’s name and, if the participant has one, the participant’s unique taxpayer reference,
- the participant’s usual or last known place of residence or the participant’s place of business, and
- in the case of a participant who is an individual, the participant’s date of birth.
<watermark>DRILL</watermark>
\<page_number>Page 9 of 17\</page_number> The conditions applicable to CIVs making exemption elections
CIVs wishing to make an exemption election must satisfy the relevant conditions in Schedule 5AAA. The regulations make a number of amendments to those conditions to ensure that they work as intended.
Subparagraphs 12(2) and 12(3) respectively enable an exemption election to be made in respect of either a CIV, or a company which is not a CIV but is at least 99% owned by a collective investment scheme limited partnership (CIS LP) or a UK co-ownership authorised contractual scheme (CoACS). This is subject to certain entitlement and qualifying conditions as set out in paragraphs 12 and 13 being met.
Among those conditions are those that are intended to ensure that (broadly) the CIV or company being considered is not controlled by a small group of connected persons. The rules apply a modified form of the close company test in Part 10 of Corporation Tax Act 2010, or in some circumstances a genuine diversity of ownership (GDO) condition (a proxy for being non-close where a CIV is not a company with fixed share capital).
Regulations 9, 10, 15, 16 and 20 make changes to ensure that the rules work as intended, so that CIVs are not disadvantaged where they fail to meet the conditions for certain purely technical reasons despite in effect being widely held or having been widely marketed. The effect of those changes is set out below.
The non-close condition
*Determining whether a company is close for the purposes of paragraph 13(2) – companies controlled by a general partner or manager of a CIS LP*
In order for a paragraph 12(3) election to be made, the condition at paragraph 13(2) requires that either –
- the company that is the subject of the election meets the UK tax condition and the non-close condition, or
- the CIS LP (including deemed CIS LPs as a result of a transparency election) or CoACS which owns at least 99% of the company meets the GDO condition.
CIS LPs will often be unable to meet the GDO test simply because of how they were set up and marketed, albeit they may be widely held. Assuming that the UK tax condition at paragraph 3(7), which is a purely factual test to do with the residence of the CIS LP investors at the fund level, would be met this then means that in practice the relevant company must not be close.
For this purpose, whether a company is “a close company” is determined in accordance with the rules in Chapter 2 of Part 10 of CTA 2010 but subject to certain modifications, of which perhaps the most relevant here is the non-attribution of partners’ rights to each other. However, as the general partner of a
\<page_number>Page 10 of 17\</page_number> CIS LP or the manager of a deemed CIS LP will have a controlling interest in an investee company by virtue of holding the voting rights it can be said that they control the company in question by virtue of their powers to manage the affairs of the partnership, and the company would remain close notwithstanding the disregard for attribution of partner rights at paragraph 46(2)(d).
Regulation 15(a) addresses this situation by amending paragraph 46 so that a company will not be treated as close only because such a person possesses or is entitled to acquire the greater part of the voting power in that company.
Determining whether a company is close for the purposes of paragraph 13(2) – tracing through to ‘qualifying investors’
Paragraph 13(5) provides that a company meets the non-close condition either because it is not close on the basis of the modified close company test at paragraph 46(2), or it is a close company only because it has a qualifying investor as a direct or indirect participant.
The intention here is to allow a look-through of immediate investors to establish whether control is ultimately established through institutional investors. The look-through must be through bodies corporate. So, a company which is a direct investor in the CIV could count toward the level of control held by qualifying investors if it were itself sufficiently owned by qualifying investors.
The term qualifying investor is defined at paragraph 46(3). Broadly, it includes institutional investors such as some pension funds or certain types of CIVs. The term ‘indirect participant’ is defined at paragraph 46(7). It refers to having an indirect interest in a company through another body corporate or bodies corporate. Paragraph 46(8) to (11) then provide further rules in relation to this ‘tracing’ provision, to illustrate that look-through also applies where there are more than two entities in the chain of ownership.
As originally drafted, the reference to body(ies) corporate in paragraph 46(7) would preclude looking through structures that have a paragraph 4 deemed company (a tax transparent unit trust or contractual arrangement CIV) in the chain of ownership. The same would be true in respect of a UK exempt unauthorised unit trust.
Regulation 15(c) addresses this by providing that for the purposes of ‘this paragraph’ (that is, paragraph 46) any reference to a body corporate includes –
- an offshore CIV which is, as a result of paragraph 4, assumed to be a company for the purposes of Schedule 5AAA, and
- anything else which is, as a result of provision made elsewhere by this Act, assumed to be a company for the purposes of TCGA 1992.
\<page_number>Page 11 of 17\</page_number> The GDO condition
Determining whether a collective investment scheme meets the GDO condition
The GDO condition is relevant for the following purposes in Schedule 5AAAA as originally drafted -
- Paragraph 7: disapplying the paragraph 6 'appropriate connection' rule;
- Paragraph 13(1)(a): for the purposes of making a paragraph 12(2) exemption election;
- Paragraph 13(2)(b): for the purposes of making a paragraph 12(3) exemption election; and
- Paragraph 46(3): requires that certain qualifying investors within section 528(4A)(a) meet the GDO.
There are further details regarding the GDO condition in the draft guidance. In brief, it relies on a fund having included suitable wording in its documentation such as its prospectus, as well as having made certain commitments with regard to the marketing of the fund and actually meeting those commitments. Schedule 5AAA preys on the GDO condition in the Offshore Funds (Tax) Regulations 2009, modified so as to ensure that all CIs are included even where they do not come within the definition of an offshore fund (principally, CIS LPs).
The regulations make a number of changes to how the GDO test is applied for Schedule 5AAA purposes to deal with practical difficulties that were identified by stakeholders after the legislation was introduced. Those difficulties meant that some CIVs could not meet the conditions for making a paragraph 12 election for certain purely technical reasons despite in practice being widely held or having been widely marketed. The changes made are as follows –
Regulation 6 amends paragraph 7(5) so that the requirement in regulation 75(4)(b) of the Offshore Fund Regulations previously preyed on is disappplied. That requirement was for a person who falls within one of the intended categories of investors to be able, upon request to the manager of the fund, to obtain information about the fund and acquire units in it. It is disappplied as it does not work well in the context of the rules in Schedule 5AAA, particularly for some CIVs that were constituted before the rules took effect. Subparagraph 7(5) then refers readers to new paragraphs 46A and 51 (see below).
Regulation 10(a) inserts new subparagraph 13(1)(ab). This provides that a CIV wishing to make a paragraph 12(2) exemption election may, if it does not itself meet the GDO condition, rely instead on meeting the UK tax condition in paragraph 7 if it is wholly or almost wholly owned by one or more collective investment schemes, each of which meets the GDO condition. This is to cater for situations where the CIV wishing to make the election is owned by one more feeder funds.
Regulation 10(b) amends existing subparagraph 13(2)(b) concerning paragraph 12(3) exemption elections so that either –
\<page_number>Page 12 of 17\</page_number>
- the collective investment scheme directly owning the company must meet the GDO condition, ‘directly’ meaning that there can be no company, partnership, trust or other entity or arrangements between the CIS and the company (as originally intended), or
- that collective investment scheme is wholly (or almost wholly) and directly owned by one or more CIS LPs, each of which meets the GDO condition. Here, ‘directly’ means that there can be no company, partnership, trust or other entity or arrangements between the CIS that owns the company and the CIS LP that owns that CIS.
The second point above caters for feeder funds.
The requirement for direct ownership in the first case above means that in theory an election under paragraph 12(3) may have been made prior to the regulations taking effect that would not be possible after that date. The practical effect of the change is that any disposal made by an entity covered by the election up to the commencement date is exempt, and investors are treated as continuing to hold their interests up until that date unless they make a disposal. From the commencement date, if the applicable exemption conditions are no longer met then, in accordance with paragraph 20, affected elections cease to have effect from that time in relation to disposals made thereafter. Investors are treated as making a deemed disposal on that date in accordance with paragraph 22. Any gains are then treated as accruing to investors in accordance with paragraph 23, that is at the end of the period of three years beginning with the time of the deemed disposal, unless an actual disposal has been made or an amount has been received that would be dealt with under paragraph 21.
In practice this scenario is unlikely to arise as fewer than 5 paragraph 12(3) elections had been received as at 2 March 2020.
Regulation 10(c) explains terms introduced in regulation 10(b).
Regulation 10(d) makes similar changes in relation to paragraph 13 to those made by regulation 6 in relation to paragraph 7(5).
Regulation 15(b) makes similar changes in relation to paragraph 46(4) to those made by regulation 6 in relation to paragraph 7(5).
Regulation 16 inserts new paragraph 46A “References to regulation 75(3) of the Offshore Funds (Tax) Regulations 2009” which applies in determining whether a CIV meets the GDO condition referred to in any provision of Schedule 5AAA. The effect of paragraph 46A is that regulation 75(3) of the Offshore Funds (Tax) Regulations 2009, including as it applies for the purposes of regulation 75(5) of those regulations, is not prevented from being met if the capacity of the vehicle to receive investments is limited, except where the limited capacity to receive investments is fixed by the documents of the vehicle (or otherwise), and a pre-determined number of specific persons or groups of connected persons collectively exhaust all, or substantially all, of that capacity.
\<page_number>Page 13 of 17\</page_number> Regulation 20 inserts new paragraph 51 “Genuine diversity of ownership condition in case of existing funds”. This paragraph applies in determining whether a CIV constituted before 6 April 2020 meets the GDO condition referred to in any provision of Schedule 5AAA. It addresses a difficulty that some CIVs may not have prepared relevant documents as required by Condition A in regulation 75(2) of the Offshore Funds (Tax) Regulations 2009, including as it applies for the purposes of regulation 75(5) of those regulations, as they were constituted before the rules in Schedule 5AAA took effect (an additional 12 months period is provided for as some CIVs may have planned launches prior to 6 April 2019 that were effected after that date).
The new rule instead permits a statement to be prepared by the manager of the vehicle, available to HMRC, which provides similar information as would have been required in the fund documents.
<watermark>DRAFT</watermark>
\<page_number>Page 14 of 17\</page_number> **Paragraph 33: Exemption for disposals by companies wholly owned by certain investors**
**Extending the scope of paragraph 33**
Paragraph 33 as introduced provides an exemption for a company ‘C’ (other than one that is also a CIV) on any gains on disposals of an interest in a qualifying fund or a qualifying company that is the subject of a paragraph 12 exemption election, provided that C is wholly owned by persons listed in paragraph 33(4). Broadly, such investors are institutional investors that would be exempt on any gains made on direct disposals, such as sovereign wealth funds, pension funds, and so on. Such investors must be direct participants in the company.
The rules in paragraph 33 were introduced as institutional investors often invest in property funds through feeder vehicles, for example a wholly owned holding company. Regulation 13 amends paragraph 33 to address further situations where such investors use certain holding structures for which the original rules make no provision.
Regulation 13 substitutes subparagraphs 33(1) and (2) so that the scope of paragraph 33 is widened to include the following arrangements, with retrospective effect to 6 April 2019 as the changes are relieving—
(a) a CIV in respect of which an election under paragraph 8 has been made (a “transparent fund”),
(b) a qualifying fund or qualifying company in respect of which an election under paragraph 12 has been made,
(c) a company which is a company UK REIT or is the principal company of a group UK REIT, or
(d) an open-ended investment company to which Part 4A of the Authorised Investment Funds (Tax) Regulations 2006 applies and which is UK property rich (a “PAIF”):
The legislation refers to each such arrangement as ‘the fund’. If a company which is wholly (or almost wholly) owned by one or more investors referred to in paragraph 33(4) disposes of a unit in the fund then any gain accruing on the disposal is not a chargeable gain. Note that the reference to a unit in the fund also covers disposals of interests in underlying companies owned by a transparent fund, as provided for by paragraph 1(6)(a).
Regulation 13(b) then introduces new subparagraph 33(2A). That subparagraph provides that if a company which is wholly (or almost wholly) owned by one or more investors referred to in paragraph 33(4) disposes of a right or interest in a company whose assets consist wholly of units in the fund concerned, any gain accruing on the disposal is not a chargeable gain. This deals with structures where, for example, a pension fund owns 99% or more of Company A, which in
\<page_number>Page 15 of 17\</page_number> turn has an interest in Company B, and Company B’s assets consist wholly of units in the fund; if A disposes of a right or interest in B then any gain accruing on the disposal is not a chargeable gain.
Regulation 13(c) makes consequential amendments to paragraph 33(3).
**Inter-dependency between paragraph 12 and paragraph 33**
Paragraph 13 sets out various conditions that must be met in order for an election to be made to treat a relevant CIV or company as exempt. One component of those conditions is the concept of the ‘UK tax condition’, which is defined at paragraph 13(7).
A holding company may meet the conditions to fall within paragraph 33 because it is wholly owned by persons listed in paragraph 33(4), but the CIV or company it is invested in may not meet the conditions for a paragraph 12 exemption election to be made purely because the holding company is resident in a territory that would make the CIV or company fail the UK tax condition.
Regulation 10(e) removes this anomaly by inserting new subparagraph 13(8), which provides that if any of the proceeds mentioned in subparagraph 13(7) arise to a company which is wholly (or almost wholly) owned by one or more investors to which paragraph 33 applies, the company is to be treated for the purposes of that subparagraph as if it were exempt from corporation tax in respect of chargeable gains accruing to it otherwise than as a result of double taxation agreements.
<watermark>DRI</watermark>
\<page_number>Page 16 of 17\</page_number> **Minor corrections and clarifications**
Other changes made by these regulations correct minor errors or clarify the way particular rules are intended to operate, as follows --
Regulation 5 amends paragraph 6(8) (disposals by non-UK residents), so that “schemes” substitute “vehicles”; this corrects a simple drafting error which should have no practical impact.
Regulation 11 makes various clarifying amendments to paragraph 21. Paragraph 21(1)(c), as amended, makes it clear that the amount of a revenue nature referred to must not fall to be taken into account for the purposes of income tax or corporation tax on income whether in the case of the participant or anyone else. This addresses situations where, for example, the CIV or company that is the subject of the relevant paragraph 12 exemption election makes a disposal of UK land that is subject to UK tax because is it characterised as income.
<watermark>DRAFT</watermark>
\<page_number>Page 17 of 17\</page_number>
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# E. coli
How E. coli spreads and what you can do to prevent it contaminating your food.
Escherichia Coli (known as E. coli) is a type of bacteria that can be found in the intestines of animals and humans. Many strains of E. coli are harmless to humans, but some can cause serious illness. Most cases of foodborne illness are caused by a strain known as E. coli O157.
## Stopping the spread of E. coli
E. coli O157 is often passed on through raw and undercooked meats. It can also be spread through other contaminated foods, such as vegetables and salads, water or unpasteurised milk. You can also catch it from person-to-person contact.
### Avoiding E. coli O157 at home
Like many types of bacteria, E. coli can grow on food when it is in the 'danger zone' between 8°C and 60°C. You can help keep your food safe by:
- chilling your food below 8°C - this will stop or significantly slow the growth of bacteria including E. coli.
- cooking food correctly by following the guidance on time and temperature – this will kill E. coli
- avoiding cross-contamination which might lead to bacteria passing from raw foods to ready-to-eat foods via things like reusable shopping bags, knives and chopping boards
- use food and drink by the 'use by' date on the label, even if it looks and smells fine – eating food after this date could put your health at risk
- good personal hygiene is also essential when you're preparing food. This will help ensure that any bacteria you may have come into contact with isn't passed to your friends and family in their food.
## FSA EXPLAINS
### How E. coli O157 makes people ill
Although many forms of E. coli are harmless and can help the breakdown of food, some can cause serious food poisoning such as E. coli O157. Vero cytotoxin E. coli (VTEC) O157 produces a toxin which is able to rupture and destroy red blood cells. The destruction of the cells can lead to a serious condition called hemolytic-uremic syndrome (HUS) and kidney failure.
**Avoiding E. coli O157 when eating out**
We work with food businesses to help them keep foodborne bacteria out of their products and keep their customers safe. As part of this, we have developed guidance on the steps food businesses should take to prevent cross-contamination between raw foods and ready-to-eat foods.
When you're choosing where to eat out, remember that the [Food Hygiene Rating Scheme](https://www.food.gov.uk/rating-scheme) is a good guide to a food business's hygiene standards.
**Our research**
Our research into E. coli has covered a wide range of issues including risks associated with the consumption of meat, dairy products and vegetables.
Outbreaks have been linked to contaminated soils on the surface of vegetables. We have commissioned research to determine the risk soil contamination has on human health.
Research has also investigated the risks associated with less than thoroughly cooked burgers and their safe production in relation to VTEC O157. The results of this work has led to comprehensive guidance for food businesses on the safe production of burgers.
We have also funded research to better understand of E. coli O157 in cattle and develop potential on-farm intervention strategies for its reduction.
In the UK, [Food Standards Scotland leads on much of the current E. coli work relating to cattle](https://www.food.gov.uk/rating-scheme) which we support.
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# UK Life Sciences
## Bioscience and Health technology
### Sector Statistics 2019
<img>Office for Life Sciences logo</img>
**Headlines**
- **6,300 Businesses**
- **£80.7bn Turnover**
- **256,100 Employees**
- **7,000 Sites**
**Industry Characteristics**
| Industry | % | |---|---| | Biopharmaceuticals | 49% industry employment | | Medical Technology | 51% industry employment | | All Global Top 25 Bio | 68% industry turnover |
**What is the Life Sciences Industry?** Businesses involved in developing and/or producing their own pharmaceutical or medtech products, including digital health, for human health purposes. Includes supply chain and specialist service sector.
**Distribution of Employment Across UK**
- Total greater than 100% due to rounding
<img>Map of the UK showing regional employment percentages.</img>
- Scotland: 6%
- North East: 3%
- Yorkshire and Humber: 7%
- East Midlands: 6%
- East of England: 15%
- South East: 24%
- London: 10%
- West Midlands: 7%
- South West: 5%
- Wales: 5%
- North West: 11%
- Northern Ireland: 2%
**Industry Employment**
- Large Companies: 76%
- SMEs: 24%
**Industry Turnover**
- Large Companies: 90%
- SMEs: 10%
**Largest Segments by Employment**
1. Small Molecules
2. Digital Health
3. In vitro diagnostics
Top 3 segments account for 43% of all employment in the Core life science industry
**Largest Segments by Turnover**
1. Small Molecules
2. In vitro diagnostics
3. Single Use Technology
Top 3 segments account for 62% of all turnover in the Core life science industry
**Year-On-Year Growth - 2010 to 2019**
- Overall the life science industry employment increased by 20,500
- Service and Supply Chain
- Employment decreased by £1.6bn
- Turnover increased by £23.6bn
**Service and Supply Chain** An essential cluster of specialist suppliers supports the Life Science Industry in the UK. Does not include non-life science businesses.
**For More Information** https://www.gov.uk/government/collections/bioscience-and-health-technology-database-annual-reports
______________________________________________________________________
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<img>RÉPUBLIQUE FRANÇAISE logo</img> <img>ORR OFFICE OF RAIL AND ROAD logo</img>
<audio>arafer autorité de régulation des activités ferroviaires et routières</audio>
Comité binational et service permanent pour la régulation économique de la Liaison Fixe transmanche
Règlement intérieur relatif aux objectifs, à la composition, au périmètre de travail et à l'administration du comité binational et du service permanent
16 février 2017
Contexte
L'article 57 de la Directive 2012/34/UE du Parlement Européen et du Conseil du 21 novembre 2012 établissant un espace ferroviaire unique européen (refonte) prévoit que les organismes de contrôle coopèrent étroitement et qu'ils peuvent, à ce titre, fixer d'un commun accord des modalités de leur collaboration.
A cette fin, et conformément à l'article 3 du règlement de la CIG, l'ARAFER et l'ORR ont consenti à établir un accord de coopération encadrant leurs missions communes de régulation économique de la Liaison Fixe transmanche (ci-après « l'Accord de coopération »), et ce, afin de garantir que cette coopération soit fondée sur la réciprocité, la confiance et la compréhension mutuelles.
L'article 7.1 de l'Accord de coopération prévoit que les autorités The bi-national committee and permanent service for Channel Fixed Link economic regulation
Rules of procedure relating to the aims, composition, scope of work and administration of the bi-national committee and permanent service
16th February 2017
Background
Article 57 of Directive 2012/34/EU of the European Parliament and of the Council of 21 November 2012 establishing a single European railway area (recast) stipulates that regulatory bodies shall cooperate closely and may establish working arrangements accordingly.
To this end, and pursuant to Article 3 of the IGC regulation, ARAFER and ORR agreed to draw up a cooperation agreement coordinating their common economic regulatory functions (the Cooperation Agreement) with the aim of ensuring that their cooperation is based on reciprocity and mutual trust and understanding.
Article 7.1 of the Cooperation Agreement provides for the Authorities to établissent un organe dénommé le comité binational dont l’objet et les missions sont décrits à l’article 7.1 de l’Accord de coopération.
L’article 8.1 de l’Accord de coopération stipule que les autorités établissent un groupe de travail binational dénommé le « service permanent » dont l’objet est, d’une part, de garantir le développement de la coopération entre les autorités et, d’autre part, d’assurer la mise en œuvre d’un processus décisionnel coordonné tel que défini à l’article 3.1 de l’Accord de coopération par les Autorités dans le cadre de leurs missions de régulation décrites à l’article 5 de l’Accord de coopération.
Les articles 7.5 et 8.3 de l’Accord de coopération stipulent que le comité binational adopte un règlement intérieur qui établit des éléments de procédure interne pour le comité binational et qui définit les modalités de travail du service permanent.
Le présent règlement intérieur a été élaboré conformément à ces dispositions.
**Interprétation**
Sauf disposition contraire, les termes et expressions utilisés dans l’Accord de coopération prendront la même signification dans le règlement intérieur. Dans le présent règlement intérieur :
« ARAFER » désigne l’Autorité de régulation des activités ferroviaires et routières, l’organisme de contrôle ferroviaire en France.
« Accord de coopération » désigne l’accord entre l’ARAFAER et l’ORR sur la régulation économique de la Liaison Fixe transmanche initialement établi un organisme dénommé le comité binational dont l’objet et les missions sont décrits à l’article 7.1 de l’Accord de coopération.
Article 8.1 of the Cooperation Agreement provides for Authorities to establish a bi-national standing working group known as the permanent service which is responsible for enhancing cooperation between the Authorities and ensuring that the Authorities have regard to Article 3.1 of the Cooperation Agreement while carrying out the regulatory tasks set out in Article 5 of the Cooperation Agreement.
Articles 7.5 and 8.3 of the Cooperation Agreement provide for the bi-national committee to adopt rules of procedure which set out internal procedural matters for the bi-national committee and contain working arrangements for the permanent service.
These rules of procedure have been drawn up pursuant to those provisions.
**Interpretation**
Unless otherwise indicated, terms and expressions used in the Cooperation Agreement shall have the same meaning in these rules of procedure. In these rules of procedure:
“ARAFAER” means Autorité de régulation des activités ferroviaires et routières, the rail regulatory body in France.
“Cooperation Agreement” means the agreement between ARAFAER and ORR for Channel Fixed Link economic regulation initially dated 16 March
\<page_number>2\</page_number> signé le 16 mars 2015, dans sa version modifiée et mise à jour à l'occasion.
« Autorité » désigne l'ARAFAER ou l'ORR. Les « Autorités » désignent l'ARAFAER et l'ORR conjointement.
« Comité binational » désigne l'organe établi à l'article 7 de l'Accord de coopération.
« Collège » désigne : (i) dans le cas de l'ARAFAER, le collège de l'ARAFAER ; et (ii) dans le cas de l'ORR, le collège de l'ORR ou tout membre ou employé de l'ORR avec la responsabilité déléguée appropriée de prendre des décisions contraignantes pour l'ORR.
« Concessionnaires » désigne les sociétés privées prévues à l'article 1er du Traité de Cantorbéry.
« Directive » désigne la directive 2012/34/UE du Parlement européen et du Conseil du 21 novembre 2012 (refonte) établissant un espace ferroviaire unique européen.
« DRR » désigne le document de référence du réseau publié par les Concessionnaires sur le fondement de l'article 27 de la Directive.
« Entreprise ferroviaire » désigne toute entreprise selon les termes de l'article 3 du paragraphe 1 de la Directive.
« Jour Ouvré » désigne un jour autre qu'un samedi, dimanche ou jours fériés ou des vacances de la fonction publique à Londres ou à Paris.
« Liaison Fixe » désigne la Liaison Fixe au sens de l'article 1 du Traité de Cantorbéry.
« Organisme de contrôle » désigne une autorité autonome juridiquement 2015, as amended and restated from time to time.
“Authority” means ORR or ARAFER and “Authorities” means ORR and ARAFER together.
“Bi-national committee” means the body established by the Authorities pursuant to Article 7 of the Cooperation Agreement.
“Board” means: (i) in the case of ARAFER, the ARAFER collège; and (ii) in the case of ORR, the board of ORR or any member or employee of ORR with the appropriate delegated responsibility to take decisions binding on ORR.
“Concessionaires” has the meaning given in Article 1 of the Treaty of Canterbury.
“Directive” means Directive 2012/34/EU of the European Parliament and of the Council of 21 November 2012 (recast) establishing a single European railway area.
“Network statement” means the network statement published by the Concessionnaires in accordance with Article 27 of the Directive.
“Railway undertaking” has the meaning set out in Article 3(1) of the Directive.
“Working day” means a day other than a Saturday, Sunday, public holiday or civil service holiday in London or Paris.
“Fixed Link” means the Fixed Link as defined as in Article 1 of the Treaty of Canterbury.
“Regulatory body” means an autonomous, legally distinct and independent
\<page_number>3\</page_number> distincte et indépendante au sens de l'article 55 de la Directive.
« ORR » désigne Office of Rail and Road, l'organisme de contrôle ferroviaire au Royaume-Uni.
« Présidents » désigne le Président du collège de l'ORR et le Président de l'ARAFER.
« Règlement binational » désigne le règlement transférant la compétence de régulation économique ferroviaire de la Commission intergouvernementale aux organismes de contrôle nationaux, établissant les principes de la coopération entre ceux-ci et portant établissement d'un cadre de tarification pour la Liaison Fixe.
« Service permanent » désigne le groupe de travail permanent entre les services des Autorités établi à l'article 8 de l'Accord de coopération.
« Traité de Cantorbéry » désigne le traité signé entre la France et le Royaume-Uni le 12 février 1986 autorisant la construction et l'exploitation de la Liaison Fixe par des concessionnaires privés.
**PREMIÈRE PARTIE : RÈGLEMENT INTERIEUR RELATIF AU COMITÉ BINATIONAL**
**PART ONE: RULES OF PROCEDURE RELATING TO THE BI-NATIONAL COMMITTEE**
**1. Objectifs :**
Le comité binational supervise notamment les activités du service permanent et l'animation des échanges entre les Autorités. Il est le garant d'une prise de décision coordonnée et cohérente par les Autorités dans le cadre de l'Accord de coopération.
authority as referred to in Article 55 of the Directive.
“ORR” means the Office of Rail and Road, the rail regulatory body in Great Britain.
“Chairs” means the Chair of the ORR board and the President of ARAFER.
“IGC regulation” means the regulation transferring economic rail regulation competence from the Intergovernmental Commission to the national regulatory bodies, setting out principles for cooperation between them and establishing a charging framework for the Fixed Link.
“Permanent service” means the standing working group established by the Authorities pursuant to the Article 8 of the Cooperation Agreement.
“Treaty of Canterbury” means the treaty signed between France and the United Kingdom on 12 February 1986 authorising the construction and operation of the Fixed Link by private concessionaires.
**Objectives:**
The responsibilities of the bi-national committee shall include steering the activities of the permanent service and exchanging views between the Authorities in support of co-ordinated and consistent decision-making by the Authorities in the context of the Cooperation Agreement.
\<page_number>4\</page_number> Dans le cadre de cet objectif, le comité binational intervient, en tant que de besoin, comme mécanisme de second rang permettant aux Autorités d'identifier et de résoudre les différences de points de vue et d'éviter l'adoption de décisions contradictoires.
To this end, the bi-national committee shall act as a second stage mechanism for the Authorities to identify and resolve differences and to avoid the adoption of conflicting decisions.
**2. Fonctions:**
Afin d'accompagner les Autorités dans le cadre de leurs missions de régulation, le comité binational est chargé de :
**2.1.** Faciliter les échanges entre les Autorités afin de garantir la coordination et la cohérence du processus de prise de décision par celles-ci sur tous les sujets compris dans le périmètre de l’Accord de coopération ;
**2.2.** Superviser les activités du service permanent, et notamment :
**2.2.1.** Guider le service permanent dans la préparation du programme de travail annuel, et ce, dès la signature de l’Accord de coopération et avant le début de chaque année de fonctionnement ; et
**2.2.2.** Approuver le programme de travail annuel élaboré par le service permanent ;
**2.3.** Faciliter la prise des décisions par les Autorités dans le cadre des procédures prévues au premier paragraphe de l’article 56 de la Directive en s’assurant qu’elles fassent l’objet d’un accord entre les Autorités et qu’elles soient publiées par celles-ci,
**2.4.** En cas de notification par le service permanent au comité binational d’une différence de point de vue entre les deux Autorités sur la mise steer the activities of the permanent service, including but not limited to:
directing the permanent service to prepare an annual work programme as soon as possible after the date of signature of the Cooperation Agreement and before the start of each operational year; and
approving the annual work programme prepared by the permanent service;
facilitate the taking of decisions by the Authorities following an appeal pursuant to Article 56(1) of the Directive and ensuring that such decisions are agreed and published by both Authorities,
in the event that the permanent service notifies the bi-national committee of a difference of view between the two Authorities concerning either
\<page_number>5\</page_number> en œuvre de l'article 9 de l'Accord de coopération ou sur le fond d'une procédure de règlement de différend :
2.4.1. Rapprocher les points de vue ; ou
2.4.2. Aider, conformément à l'article 12 de l'Accord de coopération, les Présidents des Autorités lors de la procédure de conciliation ;
2.5. Si nécessaire, lorsque le service permanent mène des instructions initiées par les Autorités ou en réponse à une plainte liée à la Liaison Fixe, conformément aux articles 56(2), 56(4), 56(6), 56(9) et/ou 56(12) de la Directive :
2.5.1. Identifier et valider les éléments devant faire l'objet d'une instruction par le service permanent ;
2.5.2. Faciliter la prise de toute décision de mise en demeure par les Autorités ; et
2.5.3. S'assurer qu'une décision de mise en demeure est notifiée et publiée, dans la mesure du possible, de manière coordonnée par les deux Autorités ;
2.6. En cas de notification par le service permanent au comité binational d'une différence de point de vue entre les deux Autorités sur l'application de l'article 10 de l'Accord de coopération ou sur le fond de toute procédure de sanction :
2.6.1. Rapprocher les points de vue ; ou
2.6.2. Aider, conformément à l'article 12 de l'Accord de coopération, les Présidents lors de la procédure de the application of Article 9 of the Cooperation Agreement or the substance of any appeal:
resolve the difference itself; or
aid the Chairs in conciliating between the Authorities pursuant to Article 12 of the Cooperation Agreement;
where necessary while the permanent service is carrying out investigations initiated by the Authoritites or in response to a complaint in relation to the Fixed Link in accordance with Articles 56(2), 56(4), 56(6), 56(9) and/or 56(12) of the Directive:
identify and agree upon matters to be subject to investigation by the permanent service;
facilitate the taking of any decision by the Authoritities to deliver a formal notice to comply; and
ensure that any formal notice to comply is notified and published where possible in a coordinated way by both Authoritities;
in the event that the permanent service notifies the bi-national committee of a difference of view between the two Authoritities concerning either the application of Article 10 of the Cooperation Agreement or the substance of any investigation:
resolve the difference itself; or
aid the Chairs in conciliating between the Authorities pursuant to Article 12 of the Cooperation Agreement;
\<page_number>6\</page_number> conciliation ;
2.7. Lors de l'adoption par les Autorités d'avis motivés sur le DRR ainsi que sur toute autre question ne relevant pas des articles 9 ou 10 de l'Accord de coopération :
2.7.1. S'assurer qu'aucune des deux Autorités n'adopte unilatéralement un avis relatif à la Liaison Fixe sans avoir préalablement reçu celui-là accord de l'autre Autorité ; ensure that neither Authority unilaterally adopts an opinion in relation to the Fixed Link without first seeking the agreement of the other Authority;
2.7.2. Soumettre aux Autorités les recommandations élaborées par le service permanent et soumises à l'approbation du comité binational ; et submit recommendations to the Authorities prepared by the permanent service and submitted to the bi-national committee for approval; and
2.7.3. Publier les avis des Autorités en anglais et en français sur le site internet de chaque Autorité ; publish the opinions of the Authorities in English and French on the website of each Authority;
2.8. En cas de notification par le service permanent au comité binational d'une différence de point de vue entre les deux Autorités sur l'application de l'article 11 de l'Accord de coopération ou sur le fond de toute recommandation pour l'adoption d'un avis motivé : in the event that the permanent service notifies the bi-national committee of a difference of view between the two Authorities concerning either the application of Article 11 of the Cooperation Agreement or the substance of any recommendation for the adoption of a non-binding opinion:
2.8.1. Rapprocher les points de vue ; ou resolve the difference itself; or
2.8.2. Aider, conformément à l'article 12 de l'Accord de coopération, les Présidents lors de la procédure de conciliation ; aid the Chairs in conciliating between the Authorities pursuant to Article 12 of the Cooperation Agreement;
2.9. Effectuer le suivi de l'application de l'Accord de coopération ; monitor the application of the Cooperation Agreement;
2.10. Réaliser toute autre tâche qui lui est assignée d'un commun accord carry out any other task assigned to it by agreement of the two Authorities.
\<page_number>7\</page_number> par les Autorités.
3. **Composition :** 3.1. Le comité binational comprend une délégation de trois membres de l'ARAFER et une délégation de trois membres de l'ORR. Les membres du comité dialoguent d'égal à égal. 3.2. Chaque Autorité désigne les membres de sa délégation qui siègent au comité binational. 3.3. Chaque Autorité communique à l'autre Autorité les noms du chef de délégation et de ses autres membres et notifie à l'autre Autorité toute modification pouvant intervenir dans la composition de sa délégation. 3.4. En cas d'empêchement d'un membre du comité binational, l'Autorité concernée peut procéder à son remplacement. Le nom de la personne remplacante est communiqué à l'autre Autorité préalablement à la réunion. 3.5. Le comité binational est composé de membres des Collèges.
**Composition:** The bi-national committee shall comprise an ARAFER delegation of three people and an ORR delegation of three people. The views of each delegation shall carry equal weight. Each Authority shall decide on the members of its delegation to the bi-national committee. Each Authority shall communicate to the other the names of the head and of the other members of its delegation, and notify any changes which may occur in the composition of the delegation. If any member is unable to attend a meeting of the bi-national committee, the relevant Authority may replace that member with an alternate whose name shall be communicated to the other Authority beforehand. The bi-national committee shall be composed of members of the Boards.
4. **Président du comité binational :** 4.1. La présidence du comité binational est assurée alternativement par le chef de chaque délégation. 4.2. Le rôle du Président est d'assurer l'efficacité et l'équité des débats.
**Chair of the bi-national committee:** The chair of the bi-national committee shall be held by the head of each delegation alternately. The role of the chair will be to ensure that meetings are run efficiently and fairly.
\<page_number>8\</page_number> 4.3. Le Président ne dispose pas d'une voix prépondérante.
4.4. En l'absence du Président, la présidence est assurée par un autre membre de sa délégation. Le chef de l'autre délégation en est informé.
4.5. Le Président est nommé et entre en fonction le premier jour de l'année de fonctionnement correspondante et assure cette fonction jusqu'au terme de ladite année de fonctionnement.
The chair shall not have a casting vote in relation to any decision making.
In the absence of the chair, the chair shall be assumed by another member of his or her delegation, and the head of the other delegation shall be informed.
The chair shall be appointed and take office on the first day of the relevant operational year and shall hold office until the end of the last day of that operational year.
5. Réunions :
5.1. Au plus tard au début de chaque année de fonctionnement, le comité binational valide un calendrier des réunions ordinaires (ci-après « les Réunions ordinaires »).
5.2. Le comité binational se réunit au moins trois fois par année de fonctionnement.
5.3. Le comité binational peut planifier une réunion avant la prochaine Réunion ordinaire (ci-après « la Réunion urgente ») s'il s'avère qu'il est nécessaire ou opportun de l'organiser.
5.4. A l'exception des cas de force majeure, les Réunions urgentes sont annoncées avec un préavis minimum de cinq jours ouvrés.
5.5. Sauf accord contraire des chefs de délégation, les Réunions ordinaires sont organisées en alternance au Royaume-Uni et en France. Les Réunions urgentes se tiennent au lieu que les chefs de délégation jugent le plus approprié.
Meetings:
By no later than the start of each operational year, the bi-national committee shall agree a schedule of regular meetings (Regular Meetings).
There should be no fewer than three Regular Meetings in each operational year.
The bi-national committee may schedule a meeting to occur prior to the next Regular Meeting (an Urgent Meeting) if it is necessary or expedient to do so.
There shall be at least five working days’ notice of Urgent Meetings, except in emergencies.
Regular Meetings shall normally be held alternately in the UK and in France, except if the heads of delegation agree otherwise. Urgent Meetings shall be held wherever the heads of delegation consider appropriate.
\<page_number>9\</page_number> 5.6. L’ordre du jour et la documentation pertinente relative à toute Réunion ordinaire ou Réunions urgente (ci-après, conjointement « les Réunions ») doivent, dans la mesure du possible, être fournis à chaque délégation au minimum cinq jours ouvrés avant leur tenue.
The agenda and relevant documents relating to any Regular Meeting or Urgent Meeting (together, Meetings) shall wherever possible be provided to each delegation at least five working days in advance.
5.7. Les Réunions peuvent se tenir par conférence téléphonique ou à l’aide de tout équipement de communication similaire.
Any Meeting may be held by conference telephone or similar communication equipment.
5.8. Sauf accord contraire de l’ensemble des participants, les Réunions se tiennent à la fois en langue anglaise et française.
Unless otherwise agreed by all participants, all Meetings shall be held in both English and French.
5.9. Dans le cas où plus de six mois se seraient écoulés ou pourraient s’écouler entre deux Réunions, les chefs de délégation en informeront immédiatement les Autorités et justifieront la raison d’un tel délai d’incactivité.
If more than six months have elapsed/will elapse between Meetings, the heads of delegation shall immediately inform the Authorities and explain why such a gap has occurred/will occur.
5.10. Lors des Réunions, le quorum est atteint à partir de deux membres de chaque délégation, y compris le chef de la délégation nationale ou la personne désignée pour en assumer temporairement le rôle. Chaque Autorité prend toutes les mesures nécessaires afin d’atteindre le quorum lors des Réunions.
The quorum for any Meeting of the bi-national committee shall be two members of each delegation, including the head of each national delegation or the person nominated to act temporarily in his or her place. Each Authority shall take all reasonable steps to ensure participation of a quorate delegation at Meetings.
5.11. Sur accord des chefs de délégation, le comité binational peut auditionner toute personne de son choix.
By agreement between the heads of delegation, the bi-national committee may hear from any person it may choose.
**6. Prises de décision lors des Réunions :**
**6.1.** Lors de l’examen de toute affaire (ci-après « l’Affaire concernée »), le comité binational met en œuvre la procédure décrite au présent paragraphe :
Decision making at Meetings:
Where the bi-national committee is required to consider any matter (the Relevant Matter), it shall follow the procedure set out in this paragraph:
\<page_number>10\</page_number> 6.1.1. Dans la mesure du possible, le comité binational examine les éléments de l’Affaire concernée lors de la Réunion ordinaire suivante :
6.1.2. Lorsque l’Affaire concernée est urgent, le comité binational organise une Réunion urgente et examine les éléments relatifs à cette affaire à cette occasion ;
6.1.3. Lorsque le comité binational a examiné l’Affaire concernée lors d’une Réunion, il prépare un rapport destiné aux Autorités dans lequel il présente les recommandations ayant fait l’objet d’un accord ;
6.1.4. Si le comité binational ne parvient pas à un accord lors d’une Réunion, il organise une Réunion urgente afin d’examiner de nouveau l’Affaire concernée conformément aux délais prévus par la réglementation applicable ; et
6.1.5. Si, à l’issue d’une Réunion urgente, le comité binational ne parvient toujours pas à aboutir à un accord ou si les deux chefs de délégation s’accordent sur le fait qu’il n’est ni nécessaire ni urgent d’organiser une deuxième Réunion, il transmet un rapport aux Présidents dans les meilleurs délais. Ce rapport précise, de manière concise, les détails de l’Affaire concernée et les points d’accord ou de désaccord entre les délégations.
6.2. Tout acte ou décision adopté par le comité binational est authentifié par la signature du président du comité binational ou de toute personne nommée par le comité binational pour agir temporairement en son nom.
wherever possible, the bi-national committee shall examine the evidence relating to the Relevant Matter at the next Regular Meeting;
where the Relevant Matter is urgent, the bi-national committee shall convene an Urgent Meeting and examine the evidence relating to the Relevant Matter at that Urgent Meeting;
after the bi-national committee has discussed the Relevant Matter at a Meeting, it shall prepare a report to the Authorities, setting out its agreed recommendations;
if the bi-national committee is unable to reach consensus at a Meeting, the bi-national committee shall convene an Urgent Meeting to reconsider the Relevant Matter within such time period as is necessary to comply with any legal deadline; and
if the bi-national committee remains unable to reach consensus, or if both heads of delegation agree that it is not necessary or expedient to convene a second Meeting, it shall submit a report to the Chairs within such time period as is necessary to comply with any legal deadline. Such report shall concisely set out the details of the Relevant Matter and the areas of agreement and disagreement between the delegations.
Any decision or other act of the bi-national committee shall be authenticated by the signature of the chair of the bi-national committee, or a person nominated by the bi-national committee to act temporarily in his or her place.
\<page_number>11\</page_number> 7. **Soumission des rapports :** Lorsque le comité binational doit soumettre un rapport, celui-ci: 7.1. Est préparé par le service permanent, en sa qualité de secrétariat du comité binational ; 7.2. Est rédigé en anglais et en français ; 7.3. Est unique et reflète les opinions du comité binational dans son ensemble ; et 7.4. Présente, le cas échéant, de manière concise les points d’accord ou de désaccord entre les délégations.
**Submission of reports:** Where the bi-national committee is required to submit a report, such report shall: be prepared by the permanent service in its capacity as secretariat to the bi-national committee; be in writing in English and French; be a single report reflecting the views of the bi-national committee as a whole; and where applicable, concisely set out any areas of agreement and disagreement between the delegations.
8. **Langues :** 8.1. La langue de travail de la délégation de l’ORR est l’anglais. La langue de travail de la délégation de l’ARAFER est le français. 8.2. Les textes rédigés en anglais et en français font également foi.
**Languages:** The working language of the ORR delegation to the bi-national committee shall be English. The working language of the ARAFER delegation to the bi-national committee shall be French. English and French texts shall be equally authoritative.
9. **Publications :** Lorsque le comité binational doit publier ou organiser la publication de tout document, il envoie ou organise l’envoi de l’avant-projet à tous les destinataires pertinents afin de confirmer, dans un délai
**Publications:** Where the bi-national committee is required to publish or arrange for the publication of any document, the bi-national committee shall send or arrange for the draft document to be sent to all relevant parties to
\<page_number>12\</page_number> raisonnable :
9.1. Si le document contient des erreurs matérielles ; et
9.2. Si des informations contenues dans le document doivent être traitées de manière confidentielle.
**10. Autres dispositions :**
10.1. Chaque année de fonctionnement du comité binational débute le 1er avril de l’année en cours et dure douze mois calendaires, pour se terminer au 31 mars de l’année suivante.
10.2. Le comité binational peut, sur proposition de l’un ou l’autre des chefs de délégation, décider d’examiner toute modification de ces règles. Si une modification est adoptée, après accord du comité binational, elle doit être soumise aux Autorités pour approbation. La modification entre en vigueur dès la notification de l’approbation par les deux Autorités au comité binational.
**DEUXIÈME PARTIE : REGLEMENT INTERIEUR RELATIF AU SERVICE PERMANENT**
**PART TWO: RULES OF PROCEDURE RELATING TO THE PERMANENT SERVICE**
**11. Objectifs :**
Le service permanent favorise la coopération entre les Autorités et garantit que celles-ci tiennent compte de l’article 3.1 de l’Accord de coopération dans le cadre de la mise en œuvre de leurs missions de confirm within a reasonable time: whether the document contains any material errors; and whether any information contained within the document should be treated as confidential.
**Other provisions:** Each operational year of the bi-national committee shall commence on 1 April of the relevant year and be for a period of twelve calendar months ending on 31 March of the following year. The bi-national committee may decide to consider any amendment to these rules proposed by the head of either delegation. If such an amendment is adopted by agreement of the bi-national committee, it shall be submitted to the Authorities for approval. The amendment shall come into force when the approval of both Authorities has been notified to the bi-national committee.
**Objectives:** The permanent service shall be responsible for enhancing cooperation between the Authorities at the working level and ensuring that the Authorities have regard to Article 3.1 of the Cooperation Agreement
\<page_number>13\</page_number> régulation décrites à l'article 5 de l'Accord de coopération.
A cette fin, le service permanent agit en amont afin de permettre aux Autorités d'identifier et de résoudre les divergences d'opinion et d'éviter l'adoption de décisions contradictoires.
while carrying out the regulatory tasks set out in Article 5 of the Cooperation Agreement.
To this end, the permanent service shall act as an early stage mechanism for the Authorities to identify and resolve differences and to avoid the adoption of conflicting decisions.
**12. Fonctions :**
Afin d'appuyer le comité binational et d'aider les Autorités dans la réalisation de leurs missions de régulation, le service permanent :
**12.1.** Tout en tenant compte des travaux concernant la Liaison Fixe devant être entrepris pour l'une ou l'autre des Autorités dans la même période au titre de leurs fonctions de régulateur en dehors du périmètre de l'Accord de coopération :
**12.1.1.** Elabore un programme de travail annuel soumis pour approbation au comité binational ; et
**12.1.2.** Veille à la mise en place des activités décrites dans ce dernier ;
**12.2.** Réalise l'instruction annuelle de l'avis sur le document de référence du réseau des concessionnaires et en assure le suivi. A cette fin, il soumet au comité binational un rapport présentant les recommandations communes ;
**12.3.** Instruit les différends au titre du premier paragraphe de l'article 56 de la Directive :
Tasks:
To support the bi-national committee and assist the Authorities in their regulatory tasks, the permanent service shall:
while having regard to any work concerning the Fixed Link to be undertaken by either Authority over the same period in relation to their regulatory functions outside the scope of the Cooperation Agreement:
draw up an annual work programme which shall be submitted to the bi-national committee for approval; and
following approval of the work programme ensure that the specified activities are carried out;
undertake the annual review and monitoring of the Concessionaires’ network statement and submit a report presenting agreed recommendations to the bi-national committee on the network statement;
investigate appeals pursuant to Article 56(1) of the Directive;
\<page_number>14\</page_number> 12.4. Lors de l'instruction des différends au titre du premier paragraphe de l'article 56 de la directive :
12.4.1. Analyse les productions du demandeur, du défendeur et de toute autre partie intéressée et les communique dans le respect du principe de contradictoire ;
12.4.2. Soumet aux Collèges un rapport présentant les recommandations communes ; et
12.4.3. Notifie sans délai au comité binational toute divergence d'opinion entre les deux Autorités concernant soit l'application de l'article 9 de l'Accord de coopération soit le fond du différend.
12.5. A la demande des Autorités, instruit les procédures de sanction initiées par les Autorités ou en réponse à une plainte liée à la Liaison Fixe, conformément aux Articles 56(2), 56(4), 56(6), 56(9) et/ou 56(12) de la Directive ;
12.6. Lors de l'instruction des procédures initiées par les Autorités ou en réponse à une plainte liée à la Liaison Fixe, conformément aux articles 56(2), 56(4), 56(6), 56(9) et/ou 56(12) de la Directive :
12.6.1. Identifie et valide les questions qui seront soumises à instruction ;
12.6.2. Rassemble les éléments de preuves communiqués par le défendeur, les concessionnaires, les entreprises ferroviaires et toute personne concernée ;
12.6.3. Soumet à l'approbation du comité binational un rapport présentant les recommandations communes à l'issue de when investigating appeals pursuant to Article 56(1) of the Directive:
collect and exchange submissions from the appellant, the defendant and any other interested parties;
submit a report presenting agreed recommendations to the Boards on the above submissions; and
notify the bi-national committee without delay of any difference of view between the two Authorities concerning either the application of Article 9 of the Cooperation Agreement or the substance of any appeal;
at the request of the Authorities, carry out investigations initiated by the Authorities or in response to a complaint in relation to the Fixed Link in accordance with Articles 56(2), 56(4), 56(6), 56(9) and/or 56(12) of the Directive;
when carrying out investigations initiated by the Authorities or in response to a complaint in relation to the Fixed Link in accordance with Articles 56(2), 56(4), 56(6), 56(9) and/or 56(12) of the Directive:
identify and agree upon matters to be subject to investigation;
collect evidence from the defendant, the Concessionaires, railway undertakings and any other relevant parties;
submit a report presenting agreed recommendations on the
\<page_number>15\</page_number> l'instruction ; 12.6.4. Effectue le suivi de la mise en conformité à la mise en demeure; 12.6.5. Soumet aux Collèges un rapport relatif à la conformité avec la mise en demeure ; et 12.6.6. Notifie sans délai au comité binational toute divergence d'opinion entre les deux Autorités concernant tant l'application de l'article 10 de l'Accord de coopération que le contenu de l'instruction ; 12.7. Lors de la préparation des recommandations pour l'adoption d'avis motivés par les Autorités, notifie sans délai au comité binational toute divergence d'opinion entre les deux Autorités tant sur l'application de l'article 11 de l'Accord de coopération que sur le contenu de tout projet d'avis motivé ; 12.8. Garantit que chaque Autorité dispose d'un accès égal et rapide à tout élément d'information ou de preuve porté à la connaissance du service permanent ; 12.9. Assure le secrétariat du comité binational et : 12.9.1. Prépare l'ordre du jour, la documentation et les supports des réunions du comité binational ; 12.9.2. Prépare une synthèse de chaque réunion du comité binational ; 12.9.3. Assure l'exécution et le suivi des décisions des Autorités relatives à la Liaison Fixe ;
investigation to the bi-national committee for approval; investigate and monitor timely compliance with any notice to comply by any party to whom such notice is addressed; submit a report on compliance presenting agreed recommendations to the Boards; and notify the bi-national committee without delay of any difference of view between the two Authorities concerning either the application of Article 10 of the Cooperation Agreement or the substance of any investigation; when preparing recommendations for the adoption of non-binding opinions by the Authorities, notify the bi-national committee without delay of any difference of view between the two Authorities concerning either the application of Article 11 of the Cooperation Agreement or the substance of any opinion; ensure that each Authority has equal and prompt access to any information or evidence of which the permanent service becomes aware; act as secretariat to the bi-national committee and: prepare agendas, documentation and papers for meetings of the bi-national committee; prepare a summary of each meeting of the bi-national committee; give effect to and follow up on decisions of the Authorities in relation to the Fixed Link;
\<page_number>16\</page_number>
<table>
<tr>
<td>12.9.4.</td>
<td>Reçoit et traite la correspondance adressée :</td>
<td>receive and deal with correspondence addressed to:</td>
</tr>
<tr>
<td>12.9.4.1</td>
<td>Au comité binational ; et</td>
<td>the bi-national committee; and</td>
</tr>
<tr>
<td>12.9.4.2</td>
<td>Aux Autorités en ce qui concerne les correspondances liées à la Liaison Fixe ;</td>
<td>the Authorities in respect of correspondence related to the Fixed Link;</td>
</tr>
<tr>
<td>12.9.5.</td>
<td>Fournir l'appui technique et administratif nécessaire au comité binational, y compris l'organisation de la réalisation des expertises et consultations ;</td>
<td>provide the necessary administrative and technical support to the bi-national committee, including arranging expert assistance and consultancy support;</td>
</tr>
<tr>
<td>12.9.6.</td>
<td>Partage les informations concernant les ressources budgétaires de chaque délégation pour l'année de fonctionnement suivante ; et</td>
<td>share details of planned resource requirements for each delegation for the coming operational year; and</td>
</tr>
<tr>
<td>12.10.</td>
<td>Lorsque les Autorités ou le comité binational le demandent, il restitue les travaux relatifs à la régulation ferroviaire de la Liaison Fixe, en vue d'assurer un accès et une tarification équitables et non discriminatoires au réseau et aux services.</td>
<td>where requested by the bi-national committee or the Authorities, report on matters relating to the regulation of railway activities in the Fixed Link for the purpose of ensuring fair and non-discriminatory access and charging to the rail network and services.</td>
</tr>
</table>
**13. Composition :**
**13.1.** Le service permanent est composé d'une délégation de l'ARAFER et d'une délégation de l'ORR. Les membres du service permanent dialoguent d'égal à égal.
**13.2.** Chaque Autorité désigne les membres de sa délégation qui siègent au service permanent.
**13.3.** Chaque Autorité communique à l'autre le nom du responsable de la délégation et de ses autres membres et notify toute modification
**Composition:**
The permanent service shall comprise an ARAFER delegation and an ORR delegation. The views of each delegation shall carry equal weight.
Each Authority shall decide on the members of its delegation to the permanent service.
Each Authority shall communicate to the other the names of the head and of the other members of its delegation, and notify any changes
\<page_number>17\</page_number> pouvant intervenir dans la composition de sa délégation.
13.4. En cas d'empêchement du chef de délégation, l'Autorité concernée peut procéder à son remplacement. Le nom de la personne remplaçante est communiqué à l'autre Autorité préalablement à la réunion.
13.5. Chaque délégation doit normalement être composée au minimum des représentants suivants :
13.5.1. Un responsable de délégation expérimenté ; 13.5.2. Un conseiller économique ; et 13.5.3. Un conseiller juridique. 13.6. Le cas échéant, d'autres conseillers (tels que des experts ferroviaires et/ou financiers) et d'autres spécialistes représentant les Autorités peuvent participer aux réunions du service permanent en plus, ou à la place, des délégués précédemment listés.
which may occur in the composition of the delegation.
If either head of delegation is unable to attend a meeting of the permanent service, the relevant Authority may replace that head with an alternate whose name shall be communicated to the other Authority beforehand.
It is expected that each delegation will normally consist of at least the following:
- a head of delegation with appropriate seniority;
- an economic advisor; and
- a legal advisor.
If appropriate, other advisors (such as railway and/or financial experts) and specialists from the Authorities will join meetings of the Permanent Service in addition to or instead of the delegates listed above.
**14. Président du service permanent :**
14.1. La présidence du service permanent est assurée alternativement par le chef de chaque délégation. 14.2. Le rôle du président est de s'assurer de l'efficacité et de l'équité des débats. 14.3. Le président ne dispose pas d'une voix prépondérante.
**Chair of the permanent service:**
The chair of the permanent service shall be held by the head of each delegation alternately. The role of the chair will be to ensure that meetings are run efficiently and fairly. The chair shall not have a casting vote in relation to any decision making.
\<page_number>18\</page_number> 14.4. En l'absence du président, la présidence est assurée par un autre membre de sa délégation. Le responsable de l'autre délégation en est informé. 14.5. Le président est nommé le premier jour de l'année de fonctionnement et assure la présidence jusqu'au dernier jour de cette année de fonctionnement.
In the absence of the chair, the chair shall be assumed by another member of his or her delegation, and the head of the other delegation shall be informed. The chair shall be appointed and take office on the first day of the relevant operational year and shall hold office until the end of the last day of that operational year.
**15. Nomination des rapporteurs, experts et toute autre personne :**
**Appointment of rapporteurs, experts, and any other person:**
To ensure that there is a clear distinction between investigative and decision making responsibilities within each Authority, the permanent service may arrange the appointment of rapporteurs, experts or any other person to carry out specific appeal and enforcement investigations.
15.1. Afin de garantir une distinction claire entre les responsabilités liées à l'instruction des procédures et celles relatives à la prise de décision au sein de chaque Autorité, le service permanent peut nommer des rapporteurs, des experts ou toute autre personne chargés de réaliser des missions spécifiques relatives aux différends ou à leur exécution.
The permanent service may only make such an appointment if the Authorities direct the permanent service to make such appointment.
15.2. Le service permanent peut effectuer ces nominations uniquement à la demande expresse des Autorités.
Such appointment may be from within or outside the membership of the permanent service and may be of an existing member or employee of the Authorities.
15.3. Les personnes nommées peuvent être membres ou non membres du service permanent.
15.4. Sans préjudice de toutes autres règles relatives aux marchés publics existant au sein de l'une ou l'autre des Autorités au titre d'une législation, réglementation ou pratique nationale ou européenne, lorsque le service permanent nomme une personne qui n'est ni membre, ni agent employé par l'une ou l'autre Autorité :
Without prejudice to any additional procurement rules within either Authority or any applicable EU or domestic law, regulation or custom, where the permanent service makes an appointment of a person who is neither a member nor an employee of either Authority it staff.
15.4.1. Il décide si la procédure de passation est mise en œuvre par une seule des Autorités ou si elle fait l'objet d'un traitement agree if a single Authority will lead the procurement process, or
\<page_number>19\</page_number>
<table>
<tr>
<td>conjoint ;</td>
<td>if the appointment should be jointly procured;</td>
</tr>
<tr>
<td>15.4.2. Il détermine le coût des besoins et valide le dispositif de partage des coûts conformément à l'article 8.8 de l'Accord de coopération ;</td>
<td>establish the likely cost of the requirements and agree the arrangements for sharing them in accordance with Article 8.8 of the Cooperation Agreement;</td>
</tr>
<tr>
<td>15.4.3. Il définit précisément les besoins, en indiquant :</td>
<td>specify the requirements accurately setting out:</td>
</tr>
<tr>
<td>15.4.3.1 Le fondement des travaux nécessaire à la compréhension de leur contexte ;</td>
<td>any background to the work necessary to understand its context;</td>
</tr>
<tr>
<td>15.4.3.2 Les objectifs des travaux ;</td>
<td>the objectives of the work;</td>
</tr>
<tr>
<td>15.4.3.3 Les devoirs et/ou obligations du fournisseur ;</td>
<td>the duties and/or obligations of the supplier;</td>
</tr>
<tr>
<td>15.4.3.4 Toutes les compétences ou l’expérience demandée au personnel du fournisseur ;</td>
<td>any skills or experience required by the supplier’s personnel;</td>
</tr>
<tr>
<td>15.4.3.5 Les détails de tous les résultats attendus ;</td>
<td>details of any outcomes/outputs expected;</td>
</tr>
<tr>
<td>15.4.3.6 Les calendriers ;</td>
<td>timelines;</td>
</tr>
<tr>
<td>15.4.3.7 Les critères d’évaluation liés à l’objet du marché ; et</td>
<td>evaluation criteria relating to the subject matter of the procurement; and</td>
</tr>
<tr>
<td>15.4.3.8 Toute autre information pertinente ;</td>
<td>any other relevant information;</td>
</tr>
<tr>
<td>15.4.4. Il précise les critères d’évaluation utilisés afin de faire un choix entre les fournisseurs ou, si une seule offre est déposée, précise les raisons justifiant de la retenir ;</td>
<td>document what evaluation criteria are used to make a decision between suppliers, or if a single tender is made the justification for that single tender;</td>
</tr>
<tr>
<td>15.4.5. Il fournit la traçabilité complète et précise de l’appel d’offres et des décisions correspondantes ; et</td>
<td>provide complete and accurate records of the tender and the decisions behind it; and</td>
</tr>
<tr>
<td>15.4.6. Le cas échéant, ou si nécessaire au titre d’une législation,</td>
<td>If appropriate or required by any applicable EU or domestic law,</td>
</tr>
</table>
\<page_number>20\</page_number> réglementation ou pratique nationale ou européenne, il fournit un résumé à l'ensemble des candidats à l'appel d'offres en soulignant les mérites relatifs de leurs offres et de l'offre ayant remporté le marché ainsi que leur classement.
15.5. Lorsque le service permanent nomme un rapporteur, un expert ou toute autre personne dans le but de remplir l'une de ses fonctions, toute règle relative au service permanent établie dans le présent règlement lui est opposable.
Where the permanent service appoints a rapporteur, expert or any other person to carry out any of its functions, references in these rules of procedure to the permanent service shall be deemed to be a reference to that rapporteur, expert or any other person.
16. Instruction réalisée par les rapporteurs :
16.1. Lorsque les rapporteurs mènent une instruction dans le cadre d'un règlement de différend ou d'une procédure de sanction, ils suivent la procédure décrite au présent paragraphe :
16.1.1. Les rapporteurs tiennent compte des éléments de preuves obtenus au cours de l'instruction et préparent un avant-projet de rapport contenant leurs conclusions qu'ils soumettent aux chefs de délégation du service permanent :
16.1.2. Lorsque l'avant-projet de rapport démontre que les conclusions des rapporteurs sont convergentes, les chefs de délégation du service permanent autorisent les rapporteurs à finaliser le rapport et à l'envoyer aux collèges et aux parties ;
16.1.3. Lorsque l'avant-projet du rapport démontre que les conclusions des rapporteurs ne sont pas convergentes, les rapporteurs et les chefs de délégation du service permanent se réunissent afin d'examiner de nouveau les conclusions. Si regulation or custom, provide a debrief to all suppliers that submitted a proposal setting out the relative merits of their bid and the winning bid including their ranking.
Investigations by rapporteurs:
Where rapporteurs carry out specific appeal and enforcement investigations, they shall follow the procedure set out in this paragraph:
rapporteurs shall consider the evidence relating to the investigation and shall prepare a draft report of their conclusions to be submitted to the heads of delegation of the permanent service;
where the draft report of the rapporteurs shows that their conclusions are aligned, the heads of delegation of the permanent service shall authorise the rapporteurs to finalise the report and shall arrange for the report to be submitted to the Boards and to the parties;
where the draft report of the rapporteurs shows that their conclusions are not aligned, the rapporteurs and the heads of delegation of the permanent service shall meet to reconsider the conclusions. If after such meeting the rapporteurs are unable to
\<page_number>21\</page_number> à la suite de cette réunion, les rapporteurs sont dans l'incapacité d'accorder leurs conclusions, les chefs de délégations demandent aux rapporteurs de préparer un rapport final incluant un descriptif concis des points d'accord et des points de désaccord et d'envoyer le rapport au comité binational et aux parties.
16.2. Le rapport final d'instruction est authentifié par la signature de chaque rapporteur.
The final investigation report shall be authenticated by the signature of each rapporteur.
17. Réunions :
17.1. Dès que possible après la date de signature de l’Accord de coopération, et au plus tard le 1er janvier de chaque année suivante, les chefs de délégation fixent un calendrier des réunions ordinaires (ci-après « les Réunions ordinaires ») du service permanent.
17.2. Sauf accord contraire des responsables de délégation, les Réunions ordinaires sont organisées au moins une fois tous les deux mois calendaires suivant la signature de l’Accord de coopération.
17.3. S'ils l'estiment opportun, les chefs de délégation peuvent organiser une réunion supplémentaire avant la prochaine Réunion ordinaire (ci-après « une Réunion urgente »).
17.4. Les Réunions urgentes donnent lieu à un préavis minimum de cinq jours ouvrés, sauf cas de force majeure.
17.5. Les Réunions ordinaires se tiennent de manière alternée en France et au Royaume-Uni, sauf si les chefs de délégation en décident autrement. Les Réunions urgentes se tiennent dans les lieux que les align their conclusions, the heads of delegation shall instruct the rapporteurs to prepare a final report which includes a concise account of the areas of agreement and disagreement between the rapporteurs and shall arrange for the report to be submitted to the bi-national committee and to the parties.
Meetings:
As soon as possible after the date of the signature of the Cooperation Agreement, and by no later than 1 January of each subsequent year, the heads of delegation shall agree a schedule of regular meetings (Regular Meetings) of the permanent service.
Unless the heads of delegation otherwise agree, Regular Meetings shall occur no further apart than every two calendar months following the date of the signature of the Cooperation Agreement.
The heads of delegation may schedule a meeting to occur prior to the next Regular Meeting (an Urgent Meeting) if they agree that it is necessary or expedient to do so.
There shall be at least five working days’ notice of Urgent Meetings, except in emergencies.
Regular Meetings shall normally be held alternately in the UK and in France, except if the heads of delegation agree otherwise. Urgent Meetings shall be held wherever the heads of delegation consider
\<page_number>22\</page_number> chefs de délégation jugent opportuns.
17.6. L’ordre du jour et la documentation nécessaire relative à toute Réunion ordinaire ou Réunion urgente (ci-après, conjointement « les Réunions ») sont, dans la mesure du possible, communiqués à l’avance à chaque délégation.
17.7. Toute Réunion peut se tenir par conférence téléphonique ou à l’aide de tout équipement de communication similaire.
17.8. Sauf accord contraire entre les participants, toutes les Réunions se tiennent à la fois en anglais et en français.
17.9. Dans le cas où plus de six mois se seraient écoulés ou pourraient s’écouler entre deux Réunions, les chefs de délégation en informer immédiatement les Autorités et justifier la raison d’un tel délai d’inactivité.
17.10. Lors de toute Réunion du service permanent, le quorum est fixé à deux membres de chaque délégation, y compris le responsable de chaque délégation nationale, ou la personne nommée pour assurer temporairement ce rôle. Chaque Autorité prend les mesures nécessaires pour que le quorum soit atteint.
17.11. Sur accord des chefs de délégation, le service permanent peut auditionner toute personne de son choix.
18. Prise de décision lors des réunions :
18.1. Lors de l'instruction d'une affaire (ci-après « l’Affaire concernée »), le service permanent suit la procédure décrite au présent paragraphe : appropriate.
The agenda and relevant documents relating to any Regular Meeting or Urgent Meeting (together, Meetings) should wherever possible be provided to each delegation in advance.
Any Meeting may be held by conference telephone or similar communication equipment. Unless otherwise agreed by all participants, all Meetings shall be held in both English and French. If more than six months have elapsed/will elapse between Meetings, the heads of delegation shall immediately inform the Authorities and explain why such a gap has occurred/will occur.
The quorum for any Meeting of the permanent service shall be two members of each delegation, including the head of each national delegation or the person nominated to act temporarily in his or her place. Each Authority shall take all reasonable steps to ensure participation of a quorate delegation at Meetings.
By agreement between the heads of delegation, the permanent service may hear from any person it may choose.
Decision making at meetings:
Where the permanent service is required to consider any matter (the Relevant Matter), it shall follow the procedure set out in this paragraph:
\<page_number>23\</page_number> 18.1.1. Dans la mesure du possible, le service permanent examine les éléments de preuves relatifs à l’Affaire concernée lors de la Réunion ordinaire suivante ; 18.1.2. Lorsque le dossier en cause est urgent, le service permanent organise une Réunion urgente ou des Réunions afin de permettre de prendre pleinement et rapidement connaissance de l’Affaire concernée ; 18.1.3. Une fois que le service permanent a émis ses conclusions suite à l’examen de l’Affaire concernée, il prépare un rapport destiné soit au comité binational soit le cas échéant aux Collèges, détaillant ses recommandations ; et 18.1.4. Si le service permanent est dans l’incapacité d’aboutir à un accord complet, il organise une autre Réunion urgente au cours de laquelle les chefs de délégation examinent de nouveau l’Affaire concernée. Dans le cas où, suite à cette Réunion, les chefs de délégation ne parviennent pas à un accord complet, le rapport final inclut un descriptif concis des points d’accord et des points de désaccord entre les délégations. 18.2. Tout acte ou décision du service permanent est authentifié par la signature de son président, ou par une personne désignée pour officier temporairement à sa place.
19. Soumission des rapports : Lorsque le service permanent doit soumettre un rapport, celui-ci wherever possible, the permanent service shall examine the evidence relating to the Relevant Matter at the next Regular Meeting; where the Relevant Matter is urgent, the permanent service shall convene an Urgent Meeting or Meetings to expedite full and timely consideration of the Relevant Matter; after the permanent service has concluded its consideration of the Relevant Matter, it shall prepare a report to the bi-national committee or the Boards (as applicable), setting out its recommendations; and if the permanent service is unable to reach complete agreement, it shall convene a further Urgent Meeting at which the heads of delegation shall reconsider the Relevant Matter. If after such Meeting the heads of delegation are unable to reach complete agreement, the final report shall include a concise account of the areas of agreement and disagreement between the delegations.
Any decision or other act of the permanent service shall be authenticated by the signature of the chair of the permanent service, or a person nominated to act temporarily in his or her place.
Submission of reports: Where the permanent service is required to submit a report, such report
\<page_number>24\</page_number> doit :
19.1. Etre rédigé en anglais et en français : 19.2. Etre unique et refléter les opinions du service permanent dans son ensemble ; et 19.3. Présenter de manière concise tous les points d'accord et, le cas échéant, de désaccord entre les délégations.
shall:
be in writing in English and French: be a single report reflecting the views of the permanent service as a whole; and where applicable, concisely set out any areas of agreement and disagreement between the delegations.
20. Langues : 20.1. La langue de travail de la délégation de l'ORR est l'anglais. La langue de travail de la délégation de l'ARAFER est le français. 20.2. Les textes rédigés en anglais et en français font également foi.
Languages: The working language of the ORR delegation to the permanent service shall be English. The working language of the ARAFER delegation to the bi-national committee shall be French. English and French texts shall be equally authoritative.
21. Autres dispositions : 21.1. Chaque année de fonctionnement du service permanent débute au 1er avril de l’année en cours et dure douze mois calendaires, pour se terminer au 31 mars de l’année suivante. 21.2. L’un ou l’autre des chefs de délégation du comité binational peut proposer une modification de ces règles à tout moment. Si ladite modification est adoptée par le service permanent, elle est soumise au comité binational pour validation. Elle entre en vigueur dès sa validation par le comité binational.
Other provisions: Each operational year of the bi-national committee shall commence on 1 April of the relevant year and be for a period of twelve calendar months ending on 31 March of the following year. Amendment to these rules may be proposed at any time by the head of either delegation. If such an amendment is adopted by agreement of the permanent service, it shall be submitted to the bi-national committee for approval. It shall come into force when the approval of the bi-national committee has been notified to the permanent service.
\<page_number>25\</page_number> \<page_number>26\</page_number>
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FRENCH
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1511-pdf
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<img>heather LOMAS consulting</img>
BUSINESS PLANNING IN A CRISIS | <img>MD EM MUSEUM DEVELOPMENT EAST MIDLANDS</img>
\<page_number>1\</page_number> SESSION CONTENT
Taking stock – what are your key issues Key purpose and organisational priorities Finances Operations <img>A pattern of white interlocking circles on a teal background.</img> TAKING STOCK | KEY ISSUES — TAKING A BREATH
What are your key issues? Well - being of staff and volunteers
What do you want the outcomes of this period to be?
What steps have you taken already?
Looking ahead – what’s your plan for the future? ORGANISATIONAL PRIORITIES PLANNING IN A CRISIS
Plans are about immediacy – they will change rapidly, but have a plan and review and update it.
What are you priorities now?
Who is in your team and what are their roles?
How can decisions be made?
How are you identifying and managing risk?
Accurate and current information will help you to plan? What information do you have available to support this?
Be realistic about what you can and want to achieve?
Understand who your stakeholders are and their needs
Communication - how will you communicate with stakeholders, funders, audiences? And what will you be communicating? WHAT DOES YOUR CURRENT FORWARD PLAN SAY?
A forward or business plan covers the current and subsequent planning year
Your museum must plan effectively for the long-term and be able to adapt in a changing environment.
Your forward or business plan should be approved by your governing body and should:
- include a statement of purpose for your museum
- be explicit about the period the plan covers
- state the key aims you want to achieve over the plan's duration
- explain how you'll achieve these aims
- explain what you'll need to achieve these aims, including people, equipment and money
- include budgets for the current and subsequent planning year
- include the plan's next review date
Realign your current plan STAFF AND VOLUNTEERS
Health and wellbeing
Staying in touch – how can you do this during the current crisis?
Understanding different needs of staff and volunteers?
Are staff home working?
How can you maintain your volunteer base for the future?
Training and development <img>A blue background with a repeating pattern of white interlocking circles.</img> FINANCES FINANCES (1)
Understand and continue to manage information about finances
Manage your cash flow – where are the pressure points – how long can you continue operating for?
What is the impact of reduced income? And how can you mitigate this?
What are your fixed costs?
Do you have contracts in place?
Will you need to think about staff redeployment and/or redundancies?
What are your reserves looking like? Do you have ‘restricted’ funds – can these be accessed?
Are there any payments you can delay?
Are you owed money? – invoice for what you are owed and follow up any funds currently owing FINANCES (2)
Are you eligible for support from Government/HMRC i.e. through the Job Retention Scheme, business support, VAT etc., https://www.gov.uk/government/collections/financial-support-for-businesses-during-coronavirus-covid-19
Will you be applying for emergency funding from ACE and NLHF or a small grant from MDEM?
Do you have loans/mortgages and can you negotiate with the lender for more favourable payment terms?
Are you receiving grant funding, speak to the funder if you are unable to deliver the outcomes, submit reports and payment requests on time.
Are you able to repurpose a grant?
Will the bank provide an overdraft?
Check out information on the MDEM website https://mdem.org.uk/ and Association of independent museums website https://www.aim-museums.co.uk/coronavirus-resources/ FINANCES (3) — INCOME GENERATION
Where are your income sources and what are the options now?
- Entrance fees
- Hires and lettings
- Schools
- Shop
- Cafe
- Memberships
- Friends groups
- Fundraising
Understand the finances and the impact reduced income will have - accurately articulate your position to funders and supporters. <img>A repeating pattern of white interlocking circles on a teal background.</img> OPERATIONS
# SITE MAINTENANCE
General maintenance and site checking for security and environmental monitoring,
Are you using your emergency plan?
**Management and care of collections**
Loan agreements and contractual requirements – speak to the lenders and agree a way forward.
Are staff working from home - can time be spent productively on developing resources and or updating policies and plans? NCVO has removed its paywall and has useful resources [https://www.ncvo.org.uk/](https://www.ncvo.org.uk/)
Collections Trust has a range of information to support museums [https://collectionstrust.org.uk/collections-in-lockdown/](https://collectionstrust.org.uk/collections-in-lockdown/) COMMUNICATING IN LOCKDOWN
Focus on your key purpose – what is your immediate plan to deliver this?
What are your key messages? ‘We’re still here. We will be reopening, in the meantime....’
Who is the audience? Do you have the skills required to deliver what they want/need?
Using information/data you already have to help you plan
- What data do you have that can help you make decisions?
- Do you have information on your audiences? And people who haven’t used you in the past?
- What can you realistically deliver?
- Online resources/information/social media
- How do you know its working? Are you evaluating it? CREATE A CRISIS ACTION PLAN
Create a plan Priorities and objectives for the crisis period Maintain your risk register Supported by resources and a cashflow Review regularly and check it is working WHAT NEXT? COMING OUT OF LOCKDOWN
Review where you are now? Update your forward/business plan Revisit the key purpose and consider what you want to do now What have you learnt from this period of working differently? What has changed and what are the challenges and opportunities? Set realistic aims and objectives and a timescale that is achievable Consider the finances available to you and your fundraising plan Ensure planning includes business continuity THANK YOU AND STAY WELL CONTACT MDEM FOR ADDITIONAL SUPPORT MDEM.ORG.UK
<img>MDEM MUSEUM DEVELOPMENT EAST MIDLANDS logo</img>
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# BETTER ENVIRONMENT, BETTER HEALTH
A GLA guide for London's Boroughs London Borough of Ealing
<img>A park scene with people sitting at tables by a pond, surrounded by trees in autumn colors.</img>
MAYOR OF LONDON BETTER ENVIRONMENT, BETTER HEALTH
COPYRIGHT
Greater London Authority November 2013
Published by Greater London Authority City Hall The Queen's Walk More London London SE1 2AA www.london.gov.uk enquiries 020 7983 4100 minicom 020 7983 4458 ISBN Photographs © Copies of this report are available from www.london.gov.uk
Please print and circulate widely
\<page_number>i\</page_number> BETTER ENVIRONMENT, BETTER HEALTH
# CONTENTS
<table>
<tr>
<td>CONTENTS</td>
<td>1</td>
</tr>
<tr>
<td>FOREWORD</td>
<td>2</td>
</tr>
<tr>
<td>INTRODUCTION</td>
<td>3</td>
</tr>
<tr>
<td>GREEN SPACES</td>
<td>5</td>
</tr>
<tr>
<td>ACTIVE TRAVEL & TRANSPORT</td>
<td>8</td>
</tr>
<tr>
<td>SURFACE WATER FLOOD RISK</td>
<td>12</td>
</tr>
<tr>
<td>AIR QUALITY</td>
<td>15</td>
</tr>
<tr>
<td>HEALTHY FOOD</td>
<td>18</td>
</tr>
<tr>
<td>FUEL POVERTY</td>
<td>21</td>
</tr>
<tr>
<td>OVERHEATING</td>
<td>24</td>
</tr>
<tr>
<td>REFERENCES</td>
<td>28</td>
</tr>
<tr>
<td>FURTHER READING</td>
<td>31</td>
</tr>
<tr>
<td>PUBLIC HEALTH OUTCOMES FRAMEWORK</td>
<td>32</td>
</tr>
<tr>
<td>Data Appendix</td>
<td>35</td>
</tr>
<tr>
<td>Acknowledgements</td>
<td>42</td>
</tr>
</table>
\<page_number>1\</page_number> BETTER ENVIRONMENT, BETTER HEALTH
# FOREWORD
The Mayor’s vision is for London to be the ‘greatest city on earth’ – this means making the city a great place for Londoners to live, relax, work and raise a family, whilst being attractive to investors. However there are significant inequalities in the health and quality of Londoners’ lives. 2009-11 ONS figures show that average healthy life expectancy reduces by almost one year for every stop eastwards on the District Line between the boroughs of Richmond and Tower Hamlets – a difference of 18 years. The reasons for this are complex but the evidence points strongly to the important impact of the wider determinants of health. This inequality means some Londoners are unable to benefit from and contribute to the city’s dynamism because of preventable health problems. The Mayor wants to ensure all Londoners have the chance to participate in what London has to offer.
Furthermore, if we are to maintain and improve London’s position as the attractive world city it is, we need to create a resilient city, able to deal with extreme weather events, and a city that offers a high quality of life with green spaces, a fantastic public realm and a pleasant, healthy environment.
Local authorities have a unique role to play in achieving these goals, and with their new responsibilities for public health they have a new set of capabilities and levers for catalysing change. Better Environment, Better Health offers a bespoke guide to each of London’s thirty three boroughs, describing the impact of seven wider environmental determinants of health on their specific populations and highlighting possible actions that could be taken to promote a better environment leading to better health and well-being, overall, for Londoners.
For example we know that by encouraging walking and cycling we are not only helping to improve London’s air quality but also cardiovascular health, whilst reducing levels of obesity. The guides demonstrate how such an approach can be taken on a range of issues, without necessarily adding to the financial burden on boroughs’ already squeezed budgets, just by doing things differently.
We hope you will find value in the guide and will use it to drive improvements locally to create strong environments which promote health and well-being, and are resilient.
Finally, we would like to thank the project team for writing the guides and their drive in taking this project forward.
Victoria Bowick Deputy Mayor of London and Mayoral Health Advisor
<signature>Matthew Pencharz</signature> Matthew Pencharz Senior Advisor for Environment and Energy
\<page_number>2\</page_number>
# INTRODUCTION
What is likely to shape the health of our communities over the next twenty or thirty years? What will improve quality of life? What will help people live longer, particularly those most likely to die early? What will improve people’s quality of life, reducing years lost to disability and poor mental and physical health? What will improve the health and wellbeing of children and young people? The United States Center for Disease Control and Prevention (CDC) has argued that in the 20th century public health measures added 25 years to the life of an average American.¹ In its list of top ten interventions half are closely connected to the environment. The same list would be likely to apply to the UK and London. In the 21st century public health measures, including measures seeking to improve the environment, are likely to be as important in supporting good health as improvements in healthcare. We need to prepare, assess and plan for extreme weather events and their impacts not just to improve Londoners’ health and wellbeing but to increase economic prosperity, for business and service continuity and to strengthen community resilience.
In this guide we focus on seven environmental issues and their relationship to health:
- Green spaces
- Active travel & transport
- Surface water flood risk
- Air quality
- Healthy food
- Fuel poverty
- Overheating
For each of these we ask certain questions:
- What is the issue and how do we measure it?
- What is its impact on health? What is the evidence?
- Who will experience the impact most?
- What is the local borough picture?
- What are the key actions to promote good health?
We also provide links to the Public Health Outcomes Framework and suggested further reading. The aim of the bespoke borough guides is to maximise opportunities for improving health and wellbeing, as well as enhancing community resilience. They are aimed at professionals working in health, environment, regeneration, economic development or any aspect of shaping local places, as well as local people interested in improving the quality of life in their communities. Where issues are locally relevant we hope this document will help to start a conversation which enables them to be identified and addressed in borough Joint Strategic Needs Assessments (JSNA) and health and wellbeing.
\<page_number>3\</page_number> strategies. These guides do not cover all of the wider environmental determinants of health. For example, they do not look at some aspects of housing (such as overcrowding), workplace health, wider resource use, access to services, water resource management or noise pollution. More broadly, issues of planning and environmental control tie many of these areas together. How we shape ongoing development and use of our town centres, neighbourhoods and business districts presents opportunities to maximise the health of users: residents, employees and visitors. Similarly, environmental consideration provides the scope to address potential risk to resilience, health and well-being as well as promoting good practice amongst, for example, businesses, landlords and facilities managers.
\<page_number>4\</page_number>
# GREEN SPACES
Accessible green space has long been recognised as a wider environmental determinant of good health. Wide ranging research shows strong evidence that outdoor spaces have a beneficial impact on both physical and mental well-being². When considering green space it is helpful to think about both *access* and *use*: availability being a necessary but insufficient indicator and determinant of use. A range of data are available on both access and use including the Natural England MENE survey (frequency, mode of access, reasons³); London.gov.data: *Access to Public Open Space and Access to Nature* by Ward⁴; and Sport England: Active people Survey (physical activity rate)⁵.
**What is the impact on health?**
Accessible, safe green space is shown to reduce mental distress, depression and Attention Deficit–Hyperactivity Disorder (ADHD) symptoms in children. Access to a garden or living a short distance to/from green areas, as well as having the potential to lead to improvements in the environment, are associated with a general improvement in mental health and wellbeing⁶. Both the Marmot Review and NICE have highlighted evidence that the presence of good quality outdoor green spaces encourages physical activity⁷ which is important across a wide range of health issues such as cardiovascular diseases, obesity, type 2 diabetes and mental/physical health. Increasing and improving the proportion of green spaces in urban centres also has a secondary positive impact on health through other wider environment determinants of health such as urban heat-island effect, surface flood risk and air quality.
**Who will experience the greatest impact?**
- Urban residents (through impact on quality of life)
- Older people and children
- People suffering from obesity, cardio-vascular diseases, diabetes
- People suffering from mental distress and depression.
**The Ealing Picture**
- 40 per cent of the borough surface has green space coverage; 9 per cent above the London average⁸.
- Within Ealing, more than 50 per cent of households in 7 out of 23 wards, have deficient access to nature⁹
- 75 per cent of Ealing’s population participate 5 times per week in physical activity for at least 30 minutes and nearly 48 per cent participate once a week which is below the London average¹⁰
- Ealing’s adult obesity prevalence is 18 per cent, which is lower than the London rate, 21 per cent, and the national rate, 24 per cent.¹¹
\<page_number>5\</page_number> **Figure 1 Green Spaces in Ealing**
Pink coloured areas are defined as area of deficiency in access to local, small and pocket parks. Proximity rate is +/- 400m from households.
<img>Pocket Park Areas of Deficiency London Borough of Ealing</img>
http://www.gigl.org.uk/Ourdatasets/OpenSpace/tabid/117/Default.aspx
**Potential actions:**
Given the significant relationship between health and green spaces in the urban environment some key actions can be identified to improve quality and proximity in order to enhance access and use. This includes considering:
- All London Green Grid Supplementary Planning Guidance to improve biodiversity function and connectivity of green spaces;¹²
- The Green Flag Award system to improve quality and promote access to green spaces.¹³
- Promoting physical activity in outdoor spaces through “outdoor gyms” and “guided walking exercise prescription” as a way to recover from cardiovascular diseases and illness.¹⁴
See also sections on surface water flood risk and healthy food.
\<page_number>6\</page_number> **Case Study: Regenerating Burgess Park, London Borough of Southwark**
The regeneration of Burgess Park, in Southwark, was underpinned by a comprehensive plan that made the focus of the park a place for healthy living, showing how to combine ‘natural’ regeneration with health promotion¹. This has also included opportunities for investment, growth and jobs. For example improved access to, and routes through, the park, alongside enhancements to the lakes, planting, lighting and on-site facilities, has made the park a much more attractive and welcoming place, encouraging play and informal recreation. The park also has over 10 km of running, cycling and fitness routes and a new BMX track, to cater for more formal sport and physical activity.
Contact: Ruth Miller, Burgess Park Project Manager ruth.miller@southwark.gov.uk
<img>A grassy park with trees and buildings in the background.</img>
| Links to Public Health Outcomes Framework | Suggested further reading | |---|---| | **Primary** | • Planning for Health (2009) HUDU | | 1.16 Utilisation of outdoor space for exercise/health reasons | • The Marmot review (2010) | | **Additional (for example)** | www.instituteofhealthequity.org | | 2.6 Excess weight in 4-5 and 10-11 year olds | • www.nice.org.uk | | 2.13 Proportion of physically active and inactive adults | • Benefit of Urban Parks, IFpra (2013): | | 2.23 Self-reported well-being | • www.ecehh.org | | | • www.naturalengland.org.uk | | | • www.hphpcentral.com | | | • CMO (2011) Start Active, Stay Active |
\<page_number>7\</page_number>
# ACTIVE TRAVEL & TRANSPORT
Travel is essential for connecting people to employment, recreation, education and health and community services. Most people travel in some way every day, making it part of everyday life and therefore a factor that can greatly affect the health of all London’s citizens<sup>6</sup>. Travel includes walking and cycling, use of private vehicles, public transport and goods vehicles. In London more than 80 per cent of journeys take place on roads either by motor vehicle, bike or on foot; therefore road transport and street environments have a very significant impact on health and wellbeing<sup>7</sup>. There are inequalities in the impact of transport upon health, with the most deprived people and those using the most heavily trafficked roads experiencing the most negative health impacts<sup>8</sup>. Only a few London boroughs include a dedicated transport focus in their Joint Strategic Needs Assessment (JSNA), suggesting the impact of travel on health may be underestimated.
**What is its impact on health?**
A comprehensive public transport network provides many health benefits including access to services, reducing social isolation and increasing work and social opportunities. A major benefit of travel in London is that it enables people to maintain regular physical activity via walking (particularly as part of public transport trips) and cycling. Only around 20 per cent of Londoners currently meet the minimum recommendation for physical activity of 150 minutes per week<sup>9</sup>. Everyday physical activity is essential for good physical and mental health, contributing to the prevention of over 20 diseases including obesity, type 2 diabetes, cardiovascular disease and some cancers<sup>9</sup>. Cycling and walking can be easily incorporated into daily routines to meet physical activity needs. In London, approximately 4.3 million trips currently made by car or public transport have been identified as easily cyclable<sup>1</sup>.
Creating opportunities which enable Londoners to walk and cycle has other potential health benefits including access to safe, green spaces. This could lead to reductions in congestion which, in turn, may reduce overheating and improve air quality. The negative impacts of transport in London are concentrated in the London’s most heavily trafficked streets, where high concentrations of vehicles contribute to air and noise pollution and increased injury risk<sup>21</sup>. This can create the impression of a hostile environment for walking and cycling and can exacerbate health inequalities. Motor vehicles are responsible for 41-60 per cent of air pollutants in the UK, which have an impact on cardiovascular and respiratory diseases. People who live on or use heavily trafficked streets are the most adversely affected.
\<page_number>8\</page_number> **The Ealing Picture**
- On average 633,000 trips per day are made by people originating in Ealing.²³
- High numbers of people participate in active travel, with the percentage of people cycling to work level with the Greater London average.
- Use of motor vehicles is 2% above the Greater London average.²⁴
- There was an average of 1033 casualties and 12 fatalities per year on Ealing’s roads between 2005 and 2009: one of the highest rates in London.
- The most heavily used road (excluding motorways) is the A40 with an average daily flow of 98,000 motor vehicles.²⁵
- One cycle superhighway is proposed in the Mayor’s ‘Vision for Cycling’.²⁶
<img>Figure 2 Journeys in the Ealing by modal share</img> Source: London Travel Demand Survey
**Potential actions:**
- Designing street environments to encourage walking and cycling,
- Designing and engineering roads to reduce motor vehicle speed and implement 20mph zones where appropriate.
- Promoting a network of roads and paths that are safe and convenient for cycling and walking.
- Supporting walking and cycling by ensuring that, where possible, the needs of cyclists and pedestrians are considered before other road users.
- Promoting cycling through information, maps and cycle hire schemes.
\<page_number>9\</page_number>
- Improving safety of heavily trafficked streets where most traffic related health risk is concentrated. See also section on air quality.
**Case Study: Cycling across Hackney**
Hackney has the highest levels of cycling in London. There are more cyclists than motorists in many parts of the borough. This is evidenced by the fact that 6 per cent of journey’s originating from Hackney are on bike, higher than any other borough in London²⁷. Since 2001 the Council has sought to increase the areas that are cycle friendly by improving the design and increasing the accessibility of the road network for cyclists.²⁷
- Road safety has been improved by reducing motor traffic speeds and volumes. The aim is to enforce 20 mph speed limits across the borough on all residential roads.²⁷
- Systematic improvements have been made to the public realm for pedestrians, cyclists and public transport users and a number of designated cycle routes such as the Hackney Park cycle route have been created.²⁷
- Hackney has invested in a range of cycle parking bays including lockers in estates, hangars (on street bike/storage lockers), on residential streets and large bike ports at transport hubs such as railway stations and town centres.
- A comprehensive free cycling training programme has targeted a range of audiences.²⁷
Contact: Ben Kennedy, Hackney Council, ben.kennedy@hackney.gov.uk
Example of a cycling improvement scheme Wordsworth Road/Palatine Road, Hackney
<table>
<tr>
<td>Links to Public Health Outcomes Framework</td>
<td>Suggested further reading</td>
</tr>
<tr>
<td><strong>Primary</strong></td>
<td></td>
</tr>
<tr>
<td>2.13 Proportion of physically active and inactive adults</td>
<td>Healthy Transport Healthy Lives, British Medical Association (BMA)</td>
</tr>
<tr>
<td><strong>Additional (for example)</strong></td>
<td>NICE Walking and Cycling, Local Government Briefing</td>
</tr>
<tr>
<td>1.16 Utilisation of outdoor space for exercise/health reasons</td>
<td>Mayors Vision for Cycling, 2013 GLA</td>
</tr>
<tr>
<td>2.7 Hospital admissions caused by unintentional and</td>
<td>London Borough of Hackney Sample of Schemes for cycling & public realm (2013)</td>
</tr>
</table>
\<page_number>10\</page_number>
<table>
<tr>
<td>deliberate injuries in under 18s<br>3.1 Fraction of mortality attributable to particulate air pollution</td>
<td>• What are the health benefits of active travel: A systematic review of trials and cohort studies, PloSOne, 8</td>
</tr>
</table>
\<page_number>11\</page_number> SURFACE WATER FLOOD RISK
Surface water flooding describes flooding on the land surface from sewers, drains, groundwater and runoff from land after a heavy rainfall event™. Surface water flooding events are difficult to predict but can cause significant disruptions to local populations and to health and other services. London is vulnerable to surface water flooding because some areas have poor drainage systems and large areas of impervious surfaces™. Approximately 480,000 London properties and ten hospitals are at risk of surface water flooding in London™. Surface water flooding is already a considerable risk and one that, without action, will increase in London due to population growth, urban expansion and ageing of drainage systems. In addition, changing climate patterns are likely to increase the number and intensity of large magnitude precipitation events leading to a likelihood of more frequent and larger magnitude surface water flooding events. Local Flood Authorities are responsible for mapping, assessing and managing local flood risks, identifying whom and what is at risk and the vulnerability of services such as hospitals and schools to surface water flooding.
The Mayor’s Regional Flood Risk Appraisal identifies surface water flood risk as the most likely cause of flooding in London. The CLA, Thames Water, the Environment Agency and London Councils have been developing and delivering a programme to manage this risk, known as Drain London.
There are multiple ways in which flooding can create health risks:
- Fast flowing water has multiple potential hazards such as moving debris which can cause physical injury and even death. Contaminated flood water containing pollutants such as chemicals and sewage can cause disease.
- Flooding of health facilities results in disruption to access to healthcare facilities, with increased difficulty providing routine medical care and increased patient admissions in neighbouring facilities.
- Exhaust emissions from machinery operating in the clean-up process and recovery from a flood can cause carbon monoxide poisoning™.
- Disruptions in flood recovery, fear of repeat events and added effects of stress due to insurance claims and refurbishing properties can cause mental health problems. Up to 25 per cent of people who experienced flooding in their homes in the major UK floods in 2007 experienced mental health issues after the event™.
Who might experience the greatest impact?
Some areas in London are at risk of surface water flooding particularly where there is inadequate sewer/drainage capacity, and some groups are at greater risk™. These include people with limited mobility or/and those who are dependent on medication and/or regular healthcare at home or at a
\<page_number>12\</page_number> healthy/social care facility. Those with less flood awareness due to weak social networks and limited or no access to public warning systems and/or information are also at risk.
**The Ealing Picture** The Environment Agency will be releasing a national surface water flood risk map for each London borough in December 2013. Whilst this will show the areas at risk it should also be noted that any low lying area could also potentially be affected but may not be visible on the maps because of the difficulty in assessing surface water flood risk. The maps will provide borough-specific assessments.
**Potential actions:**
- Developing emergency plans to reduce effects of surface water flood risk.
- Including integrated emergency planning for priority groups/services. Developing land management strategies such as green roofs to reduce likelihood of surface water flooding.
- Incorporating Sustainable Urban Drainage Systems (SuDS) as an alternative to traditional approaches to managing runoff.
- Identifying vulnerable and isolated people and implementing early warning systems and evacuation plans.
- Planning for disruption of infrastructure and increase in patient volumes at health and social care facilities. See also section on green spaces and healthy food
**Case studies:** \*\*Purley (LB Croydon) community flood plan \*\*6
- Purley is vulnerable to flooding and experienced a large flood event in 2007. In response the community developed a Community Flood Plan.
- The flood plan is owned by the community, and aims to reduce the impact of flooding.
- It advises the community on how to prevent flooding and what to do if it happens.
- It is a low cost but effective way of reducing a wide range of impacts of flooding.
- The community has created a number of flood wardens who play a central role in advising local citizens and businesses on the flood risk and actions they can take to reduce the impact and nature of flood events.
\*\*Surface water flooding event, London, July 2007 \*\*7
- In July 2007, 121mm of rainfall fell in London, mostly on July 20th, causing some significant surface water flooding.
- Approximately 400 properties were flooded, 158 schools affected and two hospitals were closed as a result.
- The closure of St George’s Hospital caused major disruption.8
\<page_number>13\</page_number>
<table>
<tr>
<td>Links to Public Health Outcomes Framework</td>
<td>Suggested further reading</td>
</tr>
<tr>
<td>Primary:</td>
<td>GLA Regional Flood Risk Appraisal, 2013<br>Drain London-<br>http://www.london.gov.uk/priorities/environment/looking-after-londons-water/drain-london-Programme<br>London Climate Change Adaptation Strategy</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>Multi-Agency Flood Plan, LB Havering, 2012<br>Floods in the European Union, Health effects and their prevention (2013), World Health Organisation (WHO)</td>
</tr>
<tr>
<td>3.7 Comprehensive, agreed inter-agency plans for responding to public health incidents and emergencies</td>
<td></td>
</tr>
<tr>
<td>3.6 Public sector organisations with a board-approved sustainable development management plan</td>
<td></td>
</tr>
</table>
\<page_number>14\</page_number>
# AIR QUALITY
Good air quality has long been recognised a basic requirement for good health. The UK Air Quality Standards Regulations 2000, updated in 2010, set standards for a variety of pollutants that are considered harmful to human health and the environment. These are based on EU limit values and are for a range of air pollutants: sulphur dioxide, nitrogen dioxide, oxides of nitrogen, particulate matter (PM₁₀ and PM₂₅), lead, benzene, carbon monoxide, benzo(a)pyrene and ozone.
Much of the focus of air quality action is on nitrogen dioxide (NO₂) and particulate matter (PM). Particulate matter (PM10 and PM2.5) refers to a complex mixture of non-gaseous particles of varied physical and chemical composition. It is categorised by the size of the particulate. In London, road traffic is a significant source of PM mainly from exhaust emissions and wear, tyre and brake wear and dust from road surfaces.
In addition, older furnaces and boilers may have an impact on the overall air quality environment within a house. Poor air quality could potentially compromise health and well-being.
It should be noted that exceedences apply across the whole of London, particularly near built up areas and major roads.
## What is the impact on health? What is the evidence?
Long-term exposure to poor air quality can contribute to the development of chronic diseases and can increase the risk of respiratory illness. In Greater London it is estimated that the equivalent of 4,267 deaths in London in 2008 were attributable to long-term exposure to PM2.5. It should be noted that this does not relate to real individuals, but is a statistical construct whereby all health impact associated with air pollution are amalgamated. Since everyone breathes the air where they are, a more realistic interpretation is that the risks are distributed across the whole population, with a total mortality impact of the concentrations equivalent to that number of deaths. At high concentrations NO₂ can result in inflammation of a person’s airways; long-term exposure can affect lung function and respiratory symptoms and can increase asthma symptoms. PM aggravates respiratory and cardiovascular conditions. The smaller the particle, the deeper it will deposit within the respiratory tract. The impact of PM₂₅ on health is especially significant.
## Who may experience the greatest impact?
- People who live or work close to areas with poor air quality
- People with respiratory problems
- People with heart problems
\<page_number>15\</page_number> **The Ealing Picture**
- On some of Ealing's main arterial roads there are high concentrations of NO2 (see map) which are above the recommended limits.
- Statistical tools are used by public health specialists to try to understand the comparative impact of different factors on mortality. Using these techniques, Ealing is the 14th most affected area by poor air quality in London. 33
- In 2011 the GLA identified five Air Quality Focus Areas within Ealing.
<img>Figure 3 NO<sub>2</sub> emissions on Ealing Roads</img>
<table>
<thead>
<tr>
<td>Ealing<br>NO<sub>2</sub><br>2011</td>
</tr>
</thead>
<tbody>
<tr>
<td>NO<sub>2</sub><br>μg/m³</td>
</tr>
<tr>
<td>95</td>
</tr>
<tr>
<td>90</td>
</tr>
<tr>
<td>85</td>
</tr>
<tr>
<td>80</td>
</tr>
<tr>
<td>75</td>
</tr>
<tr>
<td>70</td>
</tr>
<tr>
<td>65</td>
</tr>
<tr>
<td>60</td>
</tr>
<tr>
<td>55</td>
</tr>
<tr>
<td>50</td>
</tr>
<tr>
<td>45</td>
</tr>
<tr>
<td>40</td>
</tr>
<tr>
<td>35</td>
</tr>
<tr>
<td>30</td>
</tr>
<tr>
<td>25</td>
</tr>
<tr>
<td>20</td>
</tr>
</tbody>
</table>
© Crown copyright and database rights 2013. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means electronic, mechanical, photocopying, recording or otherwise without prior written permission of the publisher. Enquiries and requests should be addressed to The Stationery Office Ltd., PO Box 276, London EC1Y 8QE.
**Potential actions:**
- Promoting a modal shift to encourage higher proportions of walking, cycling and use of public transport and less use of cars. This could include a wide range of measures from systemic action within the planning and transport system to one-off events such as car free days. Such measures could lead to significant improvements in air quality.
- Promoting energy efficiency in homes, public and commercial offices. For more information see the Energy Company Obligation<sup>11</sup>.
- Individual steps could be taken to:
- a) reduce personal contribution to air pollution such as engine idling; and,
- b) reduce risk of exposure where it is potentially hazardous to health (particularly for people with underlying vulnerabilities) through systems such as airText.
See also section on active travel and transport.
\<page_number>16\</page_number> **Case studies:** **Reducing exposure – City Air** ‘CityAir’ was launched in May 2011 in the City of London to encourage businesses to help to improve local air quality.
Best practice guidance and case studies were produced to provide advice to City businesses on reducing emissions from buildings, encouraging staff to walk and cycle in the City, using purchase contracts to require low polluting vehicles and building air quality targets into environmental reporting. Information is available at www.cityoflondon.gov.uk/cityair. To date over 50 businesses have been engaged, representing over 40,000 employees. CityAir employee walking campaigns have been very popular. Contact: Ruth Calderwood ruth.calderwood@cityoflondon.gov.uk
**Mitigating impact – Croydon Air Text** In 2005 the London Borough of Croydon developed with the European Space Agency and Cambridge Environment Research Consultants an air quality forecasting service called ‘airTEXT’. AirTEXT provides information on pollution levels in the borough using ‘low’, ‘moderate’ and ‘high’ bandings. Whenever moderate or high pollution levels are expected, subscribers to airTEXT receive a text message, call or voicemail. This enables recipients to respond, if necessary, for example by taking a different route/mode of transport to work, keeping their medication with them or not exercising outside on certain days. In 2012 a new airTEXT app was developed which provides information on four health-relevant alerts: UV, pollen, air quality and temperature. Currently around 10,000 people use the airTEXT service through text, Twitter or the website.
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Primary</strong></td>
<td></td>
</tr>
<tr>
<td>3.1 Fraction of mortality attributable to particulate air pollution</td>
<td>• GLA Local Authority Air Quality Guides<br>• www.londonair.org.uk<br>• www.comeap.org.uk<br>• NICE Guidance PH41 Walking and cycling: local measures to promote walking forms of travel or recreation</td>
</tr>
<tr>
<td><strong>Additional (for example)</strong></td>
<td></td>
</tr>
<tr>
<td>2.13 Proportion of physically active and inactive adults</td>
<td>• Kilbane-Dawe (2012) 14 Cost Effective Actions to Cut Central London Air Pollution</td>
</tr>
<tr>
<td>1.14 The percentage of the population affected by noise</td>
<td></td>
</tr>
</tbody>
</table>
\<page_number>17\</page_number> **HEALTHY FOOD**
Access to healthy food is an important wider environmental determinant of health. Improving the food environment means enhancing the availability of affordable and nutritious food and recognising the relationship between the geography of food retailing and dietary patterns. It also means considering of sustainable production, processing and delivery. Policy attention has focused on the role of local planning measures and the impact of large supermarkets, provision of food growing places, the physical environment and education on a healthy diet. Many factors influence the availability of healthy food. The predominance of unhealthy food and low income may interact with environmental factors to limit access.
Access to healthy food can be measured through the following indicators: cost, quality, geography, mode of transportation, physical proximity and socio-economic variables.
**What is the impact on health? What is the evidence?**
Reduced access to healthy food and the ready and cheap availability of unhealthy foods (such as fast-food and takeaway outlets) increases the risk of a diet based on high consumption of sugar, saturated fat and salt and low in vegetables and fruit. This could lead to obesity, cardiovascular disease, type 2 diabetes and some cancers associated with obesity. The National Obesity Observatory estimated the cost to the UK economy of overweight and obesity to be £15.8 billion per year (2007). This has an impact on children as well as adults. Studies have also found that an increased density of fast food restaurants is directly related to increased Body Mass Index (mass index showing body fat based on height and weight) and that having a fast food outlet within 160m of a school is associated with a 5 per cent increase in obesity.
**The Ealing Picture**
- Ealing’s adult obesity rate is 18 per cent. This is lower than the London average (21 per cent), and the national average (24 per cent).
- Ealing’s obesity rate among primary school children (year 6) is 22 per cent. This is higher than the national rate, but lower than the London rate (19 and 23 per cent respectively).
- In 15 out of 39 Middle Super Output Areas (two darkest blue areas on map), 41-55 per cent of the total population consume five portions of fruits and vegetables a day.
- 14 per cent of Southwark’s population participate five times per week in physical activity for at least 30 minutes and nearly 48 per cent participate once a week.
\<page_number>18\</page_number> **Figure 4** **Healthy food consumption in Ealing** Model based consumption of fruit and vegetables in Ealing by ward, 2006-8 LA population consuming five portions of fruits and vegetables a day.
<img>A map of Ealing showing local authority areas with different shades of blue indicating percentage of LA population consuming five portions of fruits and vegetables a day.</img>
**Potential actions**
- Developing schemes to promote local and easily accessible healthy food from retailers (for example www.cieh.org/healthier-catering-commitment.html).
- Using planning controls to manage proliferation of fast-food outlets on high streets and near schools.
- Promoting the GLA Healthy Schools London Awards Initiative (www.healthyschoolslondon.org.uk). Healthy food choice in schools is recognised as a way to tackle obesity and chronic diseases caused by poor nutrition. This includes diet, education, and healthy meals provided at schools and accessible from nearby areas.
- Capital Growth (www.capitalgrowth.org) initiatives have the potential to promote community food growing. These activities reconnect people to the food system, engages them in issues such as where their food comes from, seasonality, healthy eating, and food security.
- Procuring from local food suppliers and retailers, signed up to the Healthier Catering Commitment Plan. See also section on green spaces and surface flood risk.
\<page_number>19\</page_number> **Case Study: Fast-food Fix – LB Waltham Forest – Tackling the Takeaways: Making an Impact**
- Community engagement on ‘takeaways’ in the borough identified dissatisfaction with the number and location of 241 local hot food takeaways (HFT). This included schools, concerned that the proximity of HFTs to schools had a negative impact on healthy eating programmes.
- A HFT corporate steering group was established to:
- Ensure existing HFT businesses operated as responsibly as possible;
- Develop strategies to tackle the wider social, environmental and economic issues associated with the proliferation of HFTs in the borough.
**Achievements:**
- Supplementary planning documents were developed restricting the opening of new HFT shops. So far, 20 applications have been refused planning permission and only 4 HFTs have been given planning permission.
- HFTs in the borough have been reduced from 241 to 194
**Contact:** Gordon Glenday, Head of Planning Policy and Regeneration gordon.glenday@walthamforest.gov.uk
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Primary:</strong><br>2.11 Diet</td>
<td>NICE guidance: www.nice.org.uk<br>Takeaways Toolkit (2012): see <a href="www.london.gov.uk">www.london.gov.uk</a><br>District Action on Public Health: http://districtcouncils.info/;<br>CIEH Food Policy, (2013): www.cieh.org<br>Healthy People, Healthy Lives, (2011);<br>Good planning for Good Food: see www.sustainweb.org/publications/?id=192</td>
</tr>
<tr>
<td><strong>Additional (for example):</strong><br>2.6 Excess weight in 4-5 and 10-11 year olds<br>2.12 Excess weight in adults<br>2.17 Recorded diabetes</td>
<td></td>
</tr>
</tbody>
</table>
\<page_number>20\</page_number>
# FUEL POVERTY
There are three factors that can result in fuel poverty, often in combination: low income, poor energy efficiency in homes and increasing energy prices. A household is now defined as ‘fuel-poor’ if its total income is below the poverty line (taking into account housing energy costs) and its energy costs are higher than typical for its household type. Data on fuel poverty is collected from the English Housing Survey Domestic Fuel Inquiry and published annually by the Department of Energy and Climate Change (DECC). More than 560,000 households in London are estimated to be spending more than ten per cent of their basic income on energy (the previous official definition of fuel poverty). Fuel poverty has the potential to have an adverse impact on children already in poverty as well as to increase the numbers of children living in poverty. Fuel poverty is also known to have an impact on well-being as indicated in self-reported well-being surveys.
## What is the impact on health? What is the evidence?
Fuel poverty can have a negative impact on health, especially on people with pre-existing medical conditions. Fuel poverty results in cold homes, exacerbating cardiovascular and respiratory conditions, rheumatoid arthritis and influenza, and negatively affects mental health. The effects of fuel poverty may be compounded by social isolation, poor emotional well-being, reduced mobility and poor diet. Cold homes are also known to affect cognitive performance. However, actual deaths are only one part of the problem. Age UK estimates the cost to the NHS of cold homes as £1.36 billion per year (not including additional costs to social services for subsequent care). The recent DECC fuel poverty framework attempts to monetise the health impacts of fuel poverty. It refers to a model estimating changes in people’s health from the installation of energy efficiency measures (resulting from changes in the indoor temperature and pollutant exposure).
## Who might experience the greatest impact?
Fuel poverty affects vulnerable groups such as older people, the group most likely to suffer excess winter deaths. Children, people with disabilities and/or those living in deprivation are also at greater risk of suffering from the effects of fuel poverty as they often need to spend longer time indoors and require heating for longer periods of time. Additionally, private sector tenants are at significantly greater risk of encountering the worst housing quality and are also least likely to access support or feel empowered to do anything about the issue.
\<page_number>21\</page_number> The Ealing Picture
- The older population of Ealing is projected to rise from 37,500 (2012) to 49,000 (2025) and 65,300 (2040). 47
- A Fuel Poverty Risk score has been developed. There are some disparities between wards with Hanger Hill achieving the 60th lowest risk score of all London wards but South Acton being 526 out of 625 wards and at significantly great risk.
- Five Ealing wards are at low risk of fuel poverty and two at high risk according to the fuel poverty risk indicator. However, two wards show a negative trend of significant decline between 2006 and 2010. 48
<img>Figure 5 Fuel Poverty risk in Ealing</img> Source: GLA (2013) Fuel Poverty Risk Indicators Tool, available on London Datastore
The Fuel Poverty Risk Index was developed by the London Assembly Health and Public Services Committee in their investigation into fuel poverty in London. It is calculated on the basis of twelve indicators across four sections:
Housing Dwellings without central heating Uninsulated cavity walls Lofts with less than 150mm insulation
Health Health Deprivation & Disability domain (ID2010) Standardised Mortality Ratio Incapacity benefit claimant rate
Older people People aged 60 and over Older people claiming pension credit
Worklessness Unemployment
Poverty Income support claimant rate
\<page_number>22\</page_number> Potential actions: The first key step to any intervention is to identify vulnerable areas/individuals and map the extent of the problem. Vulnerable individuals and households can be identified and supported through:
- Close collaboration with third-sector organisations which are working with vulnerable groups/isolated populations/people to refer or inform them of available support.
- Home energy improvements as a vital sustainable solution to fuel poverty. There are opportunities through initiatives such as the Green Deal and Energy Company Obligation™. The Mayor’s RE:NEW Programme support team™ can offer advice on funding, procurement and best practice to partner with energy efficiency providers. In addition, the issue of overheating should be taken into account when implementing any energy efficiency works especially wall and loft insulation. Whilst take up of the Green Deal to date has not been significant, it remains an important delivery mechanism to reduce fuel poverty in London. (See section on overheating).
- Promoting collaboration between local authorities and private landlords in line with upcoming energy efficiency legislation (2018 energy efficiency requirements™).
- Raising awareness of benefits entitlement and support through public health campaigns, working with third sector organisations and the local community. See also section on overheating and air quality.
Case Study: Barts Health in Tower Hamlets – Reducing Fuel Poverty Barts Health has recently established a partnership project with British Gas and Global Action Plan that aims to reduce fuel poverty in Tower Hamlets. Hospital staff, GPs and community groups refer patients from vulnerable groups or those people living in hard-to-treat homes to the Energy Companies Obligation, supporting the installation of energy efficiency measures in low-income households. The project will train and support 40 health professionals (GPs, outpatient care staff and community nurses) plus community groups. The partnership initially aims to target 200 homes. The initiative is not just a referral mechanism but will raise awareness among vulnerable groups, medical practitioners and the wider community on what steps could be taken to address fuel poverty. Such an initiative could be linked with other seasonal health initiatives such as winter flu jab promotion. Contact: Fiona Daly, Barts Health NHS Trust, fiona.daly@bartshealth.nhs.uk
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td>Primary</td>
<td>Marmot Review Team, 2011 – The Health Impacts of Cold Homes and Fuel Poverty</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>Age UK, 2012 - The Cost of Cold</td>
</tr>
<tr>
<td>1.17 Fuel poverty</td>
<td>Hills, 2012, Getting the measure of fuel poverty</td>
</tr>
<tr>
<td>1.1 Children in poverty</td>
<td>DECC, 2013, Helping-households-to-cut-their-energy-bills</td>
</tr>
<tr>
<td>2.23 Self-reported well-being</td>
<td>DECC, 2013, Fuel Poverty, A Framework for future action.</td>
</tr>
<tr>
<td>4.15 Excess winter deaths</td>
<td>London Assembly, 2012, In from the cold? Tackling fuel poverty in London, GLA</td>
</tr>
</tbody>
</table>
\<page_number>23\</page_number>
# OVERHEATING
**What do we mean by overheating? How do we measure it?**
Extreme weather events are more likely to be a factor affecting people’s health in future years52. Heatwaves, such as the one in the summer of 2003 which caused the death of 2000 people, could become more frequent (London had an excess mortality of 42%, compared to England of 17%). The Urban Heat Island (UHI) effect means that urban areas tend to be hotter than rural areas. This is due to increased absorption of the sun on concrete compared with green or brown spaces, reduced cooling from breezes due to buildings and increased heat production from houses, industry, businesses and vehicles. This is especially relevant for London with its densely built-up central boroughs and high concentration of traffic and people. The UHI effect is not universally experienced across the city as it relates to availability of green space/water bodies, building density, amount of traffic and energy consumption. However there are particularly vulnerable spots in each borough, as well as vulnerable people across areas. (See maps below). When considering London as a whole, the costs associated with overheating mortality are expected to be around £7-78 million in the 2030s (£473-712 heat-attributable deaths); by the 2050s, this could rise to £13-149 million (1200-1838 heat-attributable deaths).53
**What is the impact on health?**
Overheating54 can cause heat strokes, exacerbates existing cardiovascular and respiratory conditions and affects people with respiratory conditions due to a combination of overheating and poor air quality. A heatwave can also affect mental health with peak suicide and homicide rates reported during previous heatwaves in the UK. Research has shown a direct link between a temperature rise to more than 24°C and risk of death.55 Additionally, people may suffer from heat-related illnesses, such as heat cramps, heat rash and heat syncope (fainting as a result of overheating). Overheating may lead to dehydration, especially in older people, and there is a strong link between high temperatures, dehydration and blood stream infections, also particularly in older people.56
**Who will experience the greatest impact?**
Certain housing conditions (older and small top floor, purpose built flats because of the low solar protection offered by the top floor of poorly insulated flats; and newly constructed houses not suitably designed for extreme heat events and the quality of the built environment could potentially contribute to the overheating of an environment. Certain groups such as children have less efficient body cooling mechanisms and are therefore at greater risk. Similarly, the body’s thermoregulatory mechanisms could be impaired in older people and those with chronic health conditions. Those considered vulnerable to overheating may not always perceive themselves to be at risk. Simple measures to reduce the negative impacts of overheating are not always implemented which could place these groups at even greater risk.
\<page_number>24\</page_number> The Ealing Picture The map below shows temperature differences across the borough and also shows the effects of existing infrastructure and green space on overheating risk. Combined with data on vulnerable populations, this will provide a more precise picture of the biggest risk areas.
Figure 6: Average temperatures in Ealing
Model simulations of London’s temperatures were provided by Dr. Sylvia I. Bohnenstengel (University of Reading) using the Met Office Unified Model and MORUSES (MetOffice Reading Urban Surface Exchange Scheme) (Bohnenstengel et al., 2010).
<img>A map of Ealing showing average temperatures in Celsius from 16.2 - 18.7°C.</img> Average Temperature (C) 26th May - 19th July 2006 <watermark>16.2 - 16.8</watermark> <watermark>16.8 - 17.2</watermark> <watermark>17.2 - 17.5</watermark> <watermark>17.5 - 17.7</watermark> <watermark>17.7 - 17.9</watermark> <watermark>17.9 - 18.1</watermark> <watermark>18.1 - 18.3</watermark> <watermark>18.3 - 18.4</watermark> <watermark>18.4 - 18.5</watermark> <watermark>18.5 - 18.7</watermark>
0 1.25 2.5 5 Miles
\<page_number>25\</page_number> **Figure 7 Temperature across the capital**
London Average Screen Temperatures in degrees Celsius for the period 26 May-19 July 2006
Equal count mapping method: each interval contains 7% of the total number of grid points
<img>A map showing temperature across London. The map uses a gradient scale from blue (145-151°C) to red (187-188°C). The map shows higher temperatures in the central and eastern parts of London, with lower temperatures in the western and northern parts.</img>
**Potential actions:**
The NHS Heatwave Plan for England 2013 suggests actions to mitigate and/or ameliorate some of the effects of future heatwaves and hot weather. Short term actions include:
- Modifying surface properties and integrating green infrastructure, for example, ‘cool roofs’, ‘green roofs’ and ‘cool pavements’ (paving materials that tend to reflect, provide cooler surfaces and increase water evaporation ratio).
- Planting trees and vegetation and creating green spaces to enhance evaporation and shading, (temperatures in and around green spaces can be several degrees lower than their surroundings). The development of ‘green spaces’ can not only help to alleviate the impact of the UIH effect but has been shown to have other positive health benefits such as improving mental health and well-being. Increasing green infrastructure also improves air quality.
- Insulating homes. This protects against hot weather as well as reducing heating needs in the winter.
- Introducing an active transport plan or car-sharing schemes. These will reduce numbers of vehicles used leading to improvements in air quality, whilst promoting healthy living.
- Using reflective paint on south-facing walls and roofs.
- Taking fuel poverty into account when implementing any energy efficiency works.
\<page_number>26\</page_number> Considering using the planning process to influence planning decisions on housing and commercial properties’ heat thresholds. Retrofitting public buildings with energy-saving technology – including low-energy lighting and high-efficiency boilers. This presents one of a number of opportunities to improve on infrastructure, growth and support local job creation.
The Plan makes the case for a medium term (10–30 years) and long term approach (30+ years). See also section on fuel poverty and air quality.
**Case Study: London Borough of Islington and the CRISP Project**
CRISP is a joint project between Islington Council and North London Cares that took place in the beginning of 2013. Research among residents aged 65+ concluded that the majority of elderly people did not take hot weather issues as seriously as cold weather issues. Although levels of information were generally found to be good, there were some everyday actions being taken that might exacerbate the risk of overheating. The project identified the need for a widespread information campaign on proper use of windows, curtains and fans. The research identified challenges of communicating information about overheating. The findings and recommendations will inform Islington’s Council Seasonal Resilience Plan and the work of the Seasonal Health Interventions Network (SHINE).
Contact: John Kolm-Murray, Islington Council john.kolm-murray@islington.gov.uk
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td>Primary:</td>
<td>NHS Heatwave Plan for England</td>
</tr>
<tr>
<td>3.7 Comprehensive, agreed inter-agency plans for responding to public health incidents and emergencies</td>
<td>RE:FIT is the Mayor of London’s innovative scheme to reduce carbon emissions in Greater London, www.refit.org.uk</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>GLA (2011) London Climate Change Adaptation Strategy</td>
</tr>
<tr>
<td>3.6 Public sector organisations with a board-approved sustainable development management plan</td>
<td>London Climate Change Partnership (2012) Heat Thresholds Project: Final Report</td>
</tr>
<tr>
<td></td>
<td>Built Infrastructure for Older People in Conditions of Climate Change (BIOPICCC)</td>
</tr>
<tr>
<td></td>
<td>Design and Delivery of Robust Hospital Environments in a Changing Climate (De2RHECC)</td>
</tr>
</tbody>
</table>
\<page_number>27\</page_number>
# REFERENCES
<sup>1</sup>Centre for Disease Control and Prevention (CDC), 2013,from CDC (USA): www.cdc.gov/about/history/tengpha.htm Evidence demonstrating links between access to green spaces and health: Countway, L., Jones, A., & Haines, J. M. (2010). The relationship of physical activity and overweight to objectively measured green space accessibility and use. *Social science & medicine*, 70(6), 816-822; Maas, J., Verheij, R. A., et al (2006). Green space, urbanity, and health: how strong is the relation? *Journal of epidemiology and community health*, 60(7), 587-592. Nielsen, T. S., & Hansen, K. B. (2007). Do green areas affect health? Results from a Danish survey on the use of green areas and health outcomes. *Urban Forestry & Urban Greening*, 1(3/4), 839-850; Schippersijn, J., Bentzen, P et al (2013). Associations between physical activity and characteristics of urban green space. *Urban Forestry & Urban Greening*, 1(1), 109-116. Mitchell, R., & Popham, F. (2008). Effect of exposure to natural environment on health inequalities: an observational population study. *The Lancet*, 372(9650), 1565-1660. MENÉ Survey evidencing frequency, mode and motivation in access to Green Space, (2012-2013), from Natural Environment Research Council: http://www.nerc.ac.uk/green-space *Local access to public open spaces, taken from* Access to Public Open Space, (2012), London Data Store http://data.london.gov.uk/datastore/package/access-public-open-space-and-nature-ward/ *Survey showing number of people participating in sport in local communities, taken from* Active People Survey (2013), Sport England http://www.sportengland.org/research-active_people_survey.aspx *Use of small urban public green spaces and health benefits*, Peschardt, K.; K. Schippersijn, J., & Stigsdotter, U. K. (2012) Use of small public urban green spaces (SPUGS), Urban Forestry & Urban Greening, 11 (3), 235-244 Physical Activity and the Environment, taken from "Marmot Review (2010) Fair Society, Healthy Lives", NICE (2008). Physical activity and the environment.. PH Guidance 8 Touilhac, S., & Gaudin, C. (2003) National Obesity Observatory , NHS UK, Public Health England: http://www.sepho.nih.gov.uk/NODe-Atlas/adult_atlas.html Access to Public Open Space, (2012), taken from London Data Store, http://data.london.gov.uk/datastore/package/access-public-open-space-and-nature-ward/ Truskis showing levels of adult obesity, taken from Adult Obesity (2011-2012) National Obesity Observatory , NHS UK, Public Health England: http://www.sepho.nih.gov.uk/NODe-Atlas/adult_atlas.html Toolkit showing levels of adult obesity, taken from Health Need Assessment Toolkit, Data Period, 2006-2008) http://www.healthneedassessmenttoolkit.com/toolkit/toolkit.php <sup>2</sup>GLA All London Green Grid Supplementary Planning Guidance (2012) taken from www.london.gov.uk/priorities/planning/publications/all-london-green-grid-spg; Datasets to support this guidance, taken from www.gll.org.uk/OurDatasets/Openspaces/tabid/117/Default.aspx; Green flag award system for green spaces, taken from Keep Britain Tidy, http://greenflags.keepbritaintidy.org Southwark Council's Green Flag Award taken from www.southwark.gov.uk/info/200435/free_outdoor_activities/2611/outdoor_gyms/1 Burgess Park regeneration project July 2012, taken from www.southwark.gov.uk/news/article/792bburgess_park_to_reopen_after_8_million_transformation) London Travel Demand Survey (LTDs),2011,taken from Transport for London, Travel in London, Supplemental Report: www.tfl.gov.uk Evidence demonstrating link between transport and health. March 2013. Keeping well in hard times: Protecting and improving health & well-being in an income shortfall: taken from London Health Inequalities Network.
<sup>3</sup>Link between heavily trafficked streets and health impacts, 2005, taken from Health Development Agency Making the case: Improving health through transport. <sup>4</sup>Data showing physical activity rates in London, 2010, taken from Public Health England: Physical Activity in London: Key Facts. www.fhs.org.uk/LHO_TopicspHealth_Topics_Lifestyle_and_Behaviour/PhysicalActivity.aspx Link between active travel and health, 2012, taken from British Medical Association, Healthy Transport=Healthy Lives; BMA,www.bma.org.uk
\<page_number>28\</page_number> 21 Analysis of cycling potential, 2010, taken from Transport for London, December Analysis of Cycling Potential. Travel in London. www.tfl.org.uk 22 Report showing negative impacts of transport in London, 2011, taken from Mackett, R.L. & Brown, R. ; Transport for London. 2011. Present knowledge and the way around. Centre for Transport Studies, University College London. www.cege.ucl.ac.uk 23 Number of travel trip by each modal share, 2011, taken from London Travel Demand Survey. Transport for London. www.tfl.org.uk 24 Reported road casualties in Great Britain, annual report 2011, taken from www.gov.uk Most heavily vehicular used roads, 2000-2012, taken from Traffic Statistics, Department of Transport The Ministry of Transport. www.transport.gov.uk Hackney's case study showing cycling promoting measures, 2013, taken from London Borough of Hackney Sample of Schemes for cycling & public realm: www.hackney.gov.uk ( Surface Water Management Plan (SWMP), 2010, taken from Technical Guidance. DEFR A www.defra.gov.uk London Regional Flood Risk Appraisal. October 2009, taken from GLA ; , www.london.gov.uk Overall strategic plan for London, the London Plan, 2011, taken from GLA, www.london.gov.uk Secondary impact of floods on health, 2013. World Health Organisation : Floods in the WHO European Union. Health effects and their prevention. Edited by Bettina Menne and Virginia Murray, taken from Public Health England's website. www.gov.uk/government/organisations/public-health-england Effects of floods on mental health, 2011, taken from Murray, V., Calthorpe et al (2011). The Effects of Floods on Mental Health. Health Protection Agency. www.hpa.org.uk www.phooutcomes.info https://www.gov.uk/green-deal-energy-saving-measures/how-the-green-deal-works Access to healthy food, taken from White (2007). Food Access and Obesity. Obesity reviews. 8 (s1), 99-107 . Chartered Institute for Environment and Health, 2013, taken from Chartered Institute for Environment and Health and Public Health Policy. www.phiph.org. Takeaways Toolkit 2012, taken from London Food Board and Chartered Institute of Environmental Health http://www.london.gov.uk/priorities/environment/promoting-healthy-sustainable-food/london boroughs/1akeaways-toolkit; Effect of fast food restaurants on obesity and weight gain, taken from Currie, J., Vigna, SD et al (2010). The effect of fast food restaurants on obesity and weight gain. American Economic Journal: Economic Policy. 3: 63-85 Health Needs Assessment Toolkit, (2006-2008), NHS UK, Public Health England, http://nhs.londonhps.nhs.uk/JSA.aspx Health Needs Assessment Toolkit, (2011-2012), NHS UK, Public Health England http://nhs.londonhps.nhs.uk/JSA.aspx Health Needs Assessment Toolkit, (2006-2008), NHS UK, Public Health England http://nhs.londonhps.nhs.uk/JSA.aspx Adult Obesity Observatory (2011-2012) National Obesity Observatory - NHS UK, Public Health England http://www.sphn.nhs.uk/NDO/e- Atlas/adult/atlats.htm
4 New Fuel Poverty Definition 2013, taken from Department of Energy and Climate Change (DECC), taken from Fuel Poverty. A Framework for future action. www.decc.gov.uk Tackling fuel poverty in London 2012, taken from GLA - London Assembly In from the cold? www.london.gov.uk Fuel poverty impact on wellbeing, 2011, taken from Marmot Review Team. The Health Impacts of Cars and Homes Fuel Poverty. www.gov.uk/government/organisations/public-health-england Cost of fuel poverty up to NHSs, 2012, taken from AgeUK. The Cost of Cold www.ageuk.org.uk/latest-news/archive/cold-homes-costs-nhs-1-point-36-billion Monetising health impacts of fuel poverty, 2013, taken from Department of Energy and Climate Change. Fuel Poverty. A Framework for Future Action- Analytical Annex https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/21137/fuel_poverty_strategic_framework.pdf Custom Age Range Creator Tool for GLA Population Projections 2013, taken from CLA London Datastore www.data.london.gov.uk/datastore/applications/custom-age-range-creator-tool-gla-population-projections-borough Fuel Poverty Risk Indicators Toolkit, 2013, taken from GLA London Datastore www.data.london.gov.uk/datastore/package/london-fuel-poverty-risk-indicators-toolkit/ Green Deal and Energy Company Obligation information, 2012, taken from Department of Energy and Climate Change. www.decc.gov.uk The Mayor's RE:NEW Programme, 2013, taken from GLA. www.london.gov. UK Energy Act 2011, taken from Department of Energy and Climate Change www.legendation.gov.uk/ukpga/2011/6/content/enacted
\<page_number>29\</page_number> <sup>52</sup> Heatwave Plan 2013, taken from Public Health England, Making the case: the impact of heat on health – now and in the future www.gov.uk/government/organisations/public-health-england
<sup>53</sup> Potential costs of overheating including data, 2013, taken from Department for Environment, Food and Rural Affairs, The Economics of Climate Resilience: Health and Well-being Theme CA0401 www.defra.gov.uk
<sup>54</sup> Overheating and health, 2011, taken from Health Protection Agency, Overheating and health: a review into the physiological response to heat and identification of indoor heat thresholds www.hpa.org.uk/webc/HPAwebFile/HPAweb_C/1317133912939
<sup>55</sup> Association of mortality with high temperatures in a temperate climate: England and Wales, Armstrong et al. (2010) Association of mortality with high temperatures in a temperate climate: England and Wales, Journal of Epidemiology and Health, vol.65.4, 340-345
<sup>56</sup> Heatwave Plan 2013, taken from Public Health England, Making the case: the impact of heat on health – now and in the future www.gov.uk/government/organisations/public-health-england
<sup>57</sup> Heatwave Plan 2013, taken from Public Health England, Making the case: the impact of heat on health – now and in the future www.gov.uk/government/organisations/public-health-england
\<page_number>30\</page_number>
# FURTHER READING
- Local Authorities’ strategies (e.g. Planning, Transport) are monitored on an annual basis and PHOF indicators may be relevant additions to these strategies and a way of spreading a public health approach across the Council: www.phoutcomes.info provides useful borough summaries for this approach.
- The Index of Multiple Deprivation (IMD) highlights the impact of wider environmental determinants most adversely on those in more deprived areas: www.gov.uk/government/organisations/departments-for-communities-and-local-government/series/english-indices-of-deprivation
- Public Health has an important role in reminding other departments about health inequalities and intra borough inequalities. Basic summaries can be found at: www.apho.org.uk/?QN=P_HEALTH_PROFILES
- The local authority planning process offers the opportunity to mainstream some of these issues through planning guidance. The Town & Country Planning Association offers a useful guide: www.tcpa.org.uk/data/files/TCPA_FINAL_Reuniting-health-planning.pdf
- The NHS London Healthy Urban Development Unit www.healthyurbandevelopment.nhs.uk and their Watch Out for Health Checklist and the Health Impact Assessment Gateway http://www.apho.org.uk/default.aspx?QN=N_HIA offers useful insight across many fields including equality, social infrastructure planning, housing, policy development, planning advocacy and negotiations, planning obligations, development management, master planning, environmental and health impact assessment.
- Some themes in this Guide, for example, (food, fuel poverty, active travel) are addressed in Keeping Well in Hard Times www.lho.org.uk/Download/Public/17975/1/Keeping_per_cent20well_per_cent20hr_per_cent20hard_per_cent20times.pdf
- There is a useful guide for developers on maximising environmental benefits at: www.environment-agency.gov.uk/research/planning/147852.aspx
- Effect of exposure to natural environment on health inequalities: an observational population study http://epinrt.glja.ac.uk/4767/1/4767.pdf
- Great Outdoors: How Our Natural Health Service Uses Green Space To Improve Wellbeing www.fph.org.uk/uploads/bs_great_outdoors.pdf
\<page_number>31\</page_number> PUBLIC HEALTH OUTCOMES FRAMEWORK
Mapping environmental determinants to the 2013-2016 Public Health Outcomes Framework
| Primary | Improvements or worsening will have a direct impact on the indicator | |---|---| | Secondary | Improvements or worsening may have an impact on this indicator |
| AQ – Air Quality | AT – Active Travel and Transport | GS – Access to Green Space | |---|---|---| | FR – Surface Flooding | OH – Overheating | FP – Fuel Poverty | | HF – Healthy Food | | |
<table>
<thead>
<tr>
<th>Domain 1</th>
<th>AQ</th>
<th>AT</th>
<th>GS</th>
<th>FR</th>
<th>OH</th>
<th>HF</th>
<th>FP</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Improving the wider determinants of health</strong></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.1 Children in poverty</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.2 School readiness</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.3 Pupil absence</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.4 First time entrants to the youth justice system</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.5 16-18 year olds not in education, employment or training</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.6 Adults with a learning disability/in contact with secondary mental health services who live in stable and appropriate accommodation</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.7 People in prison who have a mental illness or a significant mental illness</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.8 Employment for those with long-term health conditions including adults with a learning disability or who are in contact with secondary mental health services</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.9 Sickness absence rate</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.10 Killed and seriously injured casualties on England’s roads</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr style="background-color: #cccccc;">
<th><strong>Domestic abuse</strong><br><br><strong>1.11 Domestic abuse<br><br><strong>1.12 Violent crime (including sexual violence)<br><br><strong>1.13 Re-offending levels<br><br><strong>1.14 The percentage of the population affected by noise<br><br><strong>1.15 Statutory homelessness<br><br><strong>1.16 Utilisation of outdoor space for exercise/health reasons<br><br><strong>1.17 Fuel poverty<br><br><strong>1.18 Social isolation<br><br><strong>1.19 Older people’s perception of community safety<br><br><strong>1.20 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.21 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.22 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.23 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.24 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.25 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.26 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.27 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.28 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.29 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.30 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.31 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.32 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.33 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.34 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.35 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.36 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.37 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.38 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.39 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.40 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.41 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.42 The number of people living in overcrowded accommodation (including temporary accommodation)</strong><br><br><strong>1.43 The number of people living in overcrowded accommodation (including temporary accommodation)</strong<br/></table>
\<page_number>32\</page_number>
<table>
<tr>
<td>Primary</td>
<td>Improvements or worsening will have a direct impact on the indicator</td>
</tr>
<tr>
<td>Secondary</td>
<td>Improvements or worsening may have an impact on this indicator</td>
</tr>
</table>
<table>
<tr>
<td>AQ - Air Quality</td>
<td>AT - Active Travel and Transport</td>
<td>GS - Access to Green Space</td>
</tr>
<tr>
<td>FR - Surface Flooding</td>
<td>OH - Overheating</td>
<td>FP - Fuel Poverty</td>
</tr>
<tr>
<td>HF - Healthy Food</td>
<td></td>
<td></td>
</tr>
</table>
<table>
<thead>
<tr>
<th rowspan="2">Domain 2<br>Health Improvement</th>
<th>AQ</th>
<th>AT</th>
<th>GS</th>
<th>FR</th>
<th>OH</th>
<th>HF</th>
<th>FP</th>
</tr>
</thead>
<tbody>
<tr><td colspan="8"></td></tr>
<tr><td>2.1 Low birth weight of term babies</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.2 Breastfeeding</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.3 Smoking status at time of delivery</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.4 Under 18 conceptions</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.5 Child development at 2-21/2 years</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.6 Excess weight in 4-5 and 10-11 year olds</td><td></td><td></td><td></td><td></ td<td></ td<td></ td<td></ td></tr>
<tr><td>2.7 Hospital admissions caused by unintentional and deliberate injuries in under 18s</td><td></ td<td></ td<td></ td<td></ td<td></ td<td></ td<td></ td></tr>
<tr><td>2.8 Emotional well-being of looked after children</td><td></ td<td></ td<td></ td<td></ td<td></ td<td></ td<td></ td></tr>
<tr><td>2.9 Smoking prevalence – 15 year olds</td><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.10 Self-harm</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.11 Diet</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.12 Excess weight in adults</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.13 Proportion of physically active and inactive adults</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.14 Smoking prevalence – adults (over 18s)</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.15 Successful completion of drug treatment</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.16 People entering prison with substance dependence issues who are previously not known to community treatment</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.17 Recorded diabetes</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.18 Alcohol-related admissions to hospital</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.19 Cancer diagnosed at stage 1 and 2</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.20 Cancer screening coverage</th><th colspan="3"></th><th colspan="3"></th></tr>
<tr><th>2.21 Access to non-cancer screening programmes</th><thalink style='background-color: #ccccff;'>Yes</thalink<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<thallink style='background-color: #ccccff;'>No<thallink style='background-color: #ccccff;'>Yes<tfoot class="tfoot_bottom"><span class="tfoot_bottom">Total number of Yes responses:</span> <span class="tfoot_bottom">Total number of No responses:</span> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> </tfoot> > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < > < >
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of No responses:</span>&nb...
<tr class="header_bottom"><span class="header_bottom">Total number of Yes responses:</span>&nb...
<tr class="header_bottom"><span class...
<table cellspacing=0 cellpadding=0 border=0 width=100% height=100% align=center valign=top>
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<table>
<thead>
<tr>
<td>Primary</td>
<td>Improvements or worsening will have a direct impact on the indicator</td>
<td></td>
</tr>
<tr>
<td>Secondary</td>
<td>Improvements or worsening may have an impact on this indicator</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>AQ - Air Quality</td>
<td>AT - Active Travel and Transport</td>
<td>GS – Access to Green Space</td>
</tr>
<tr>
<td>FR – Surface Flooding</td>
<td>OH - Overheating</td>
<td>FP – Fuel Poverty</td>
</tr>
<tr>
<td>HF - Healthy Food</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td>Domain 3<br><strong>Health Protection</strong></td>
<td>AQ AT GS FR OH HF FP</td>
</tr>
</thead>
<tbody>
<tr>
<td>3.1 Fraction of mortality attributable to particulate air pollution</td>
<td></td>
</tr>
<tr>
<td>3.2 Chlamydia diagnoses (15-24 year olds)</td>
<td></td>
</tr>
<tr>
<td>3.3 Population vaccination coverage</td>
<td></td>
</tr>
<tr>
<td>3.4 People presenting with HIV at a late stage of infection</td>
<td></td>
</tr>
<tr>
<td>3.5 Treatment completion for Tuberculosis (TB)</td>
<td></td>
</tr>
<tr>
<td>3.6 Public sector organisations with a board approved sustainable development management plan</td>
<td></td>
</tr>
<tr>
<td>3.7 Comprehensive, agreed inter-agency plans for responding to public health incidents and emergencies</td>
<td></td>
</tr>
<table>
<thead>
<tr>
<td>Domain 4<br><strong>Healthcare public health and preventing premature mortality</strong></td>
<td>AQ Tr GS FR OH HF FP</td>
</tr>
</thead>
<tbody>
<tr>
<td>4.1 Infant mortality</td>
<td></td>
</tr>
<tr>
<td>4.2 Tooth decay in children aged 5</td>
<td></td>
</tr>
<tr>
<td>4.3 Mortality rate from causes considered preventable</td>
<td></td>
</tr>
<tr>
<td>4.4 Under 75 mortality rate from all cardiovascular diseases (including heart disease and stroke)</td>
<td></td>
</tr>
<tr>
<td>4.5 Under 75 mortality rate from cancer</td>
<td></td>
</tr>
<tr>
<td>4.6 Under 75 mortality rate from liver disease</td>
<td></td>
</tr>
<tr>
<td>4.7 Under 75 mortality rate from respiratory diseases</td>
<td></td>
</tr>
<tr>
<td>4.8 Mortality rate from infectious and parasitic diseases</td>
<td></td>
</tr>
<tr>
<td>4.9 Excess under 75 mortality rate in adults with serious mental illness</td>
<td></td>
</tr>
<tr>
<td>4.10 Suicide rate</td>
<td></td>
</tr>
<tr>
<td>4.11 Emergency readmissions within 30 days of discharge from hospital</td>
<td></td>
</tr>
<tr>
<td>4.12 Preventable sight loss</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br/>
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<page_number>34</page_number>
BETTER ENVIRONMENT, BETTER HEALTH
# DATA APPENDIX
## Table 1 – Green Space Data
<table>
<thead>
<tr>
<th></th>
<th>Adult Obesity</th>
<th colspan="3">Green Space Access Deficiency (% value per Ward)</th>
<th colspan="2">Participation in Physical Activity % per week - Adult Obesity -</th>
<th colspan="3">Obesity Prevalence</th>
</tr>
<tr>
<th>Borough Green Space Surface</th>
<th>Total Ward N.</th>
<th>Ward with Access Deficiency</th>
<th>% Households</th>
<th>1 time a week</th>
<th>5 times per week</th>
<th>LA</th>
<th>London</th>
<th>England</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>33.6</td>
<td>17.0</td>
<td>4.0</td>
<td>over 50%</td>
<td>45.1</td>
<td></td>
<td>15.4</td>
<td>28.7</td>
<td></td>
</tr>
<tr>
<td>Barnet</td>
<td>41.3</td>
<td>21.0</td>
<td>4.0</td>
<td>over 40%</td>
<td>54.9</td>
<td></td>
<td>17.6</td>
<td>17.9</td>
<td></td>
</tr>
<tr>
<td>Bexley</td>
<td>31.7</td>
<td>21.0</td>
<td>4.0</td>
<td>over 40%</td>
<td>60.8</td>
<td></td>
<td>20.0</td>
<td>26.4</td>
<td></td>
</tr>
<tr>
<td>Brent</td>
<td>21.9</td>
<td>21.0</td>
<td>4.0</td>
<td>over 40%</td>
<td>49.4</td>
<td></td>
<td>16.3</td>
<td>21.2</td>
<td></td>
</tr>
<tr>
<td>Bromley</td>
<td>57.8</td>
<td>22.0</td>
<td>2.0</td>
<td>over 50%</td>
<td>62.4</td>
<td></td>
<td>21.1</td>
<td>21.8</td>
<td></td>
</tr>
<tr>
<td>Camden</td>
<td>24.8</td>
<td>18.0</td>
<td>5.0</td>
<td>over 50%</td>
<td>65.1</td>
<td></td>
<td>26.0</td>
<td>15.5</td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="9" style="text-align: center;">City of London<br/>City of Westminster<br/>Croydon<br/>Ealing<br/>Enfield<br/>Greenwich<br/>Hackney<br/>Hammersmith & Fulham<br/>Haringey<br/>Harrow<br/>Havering<br/>Hillingdon<br/></td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">4.8<br/>21.5<br/>37.1<br/>30.9<br/>45.6<br/>34.4<br/>23.2<br/>19.1<br/>25.5<br/>34.6<br/>59.3<br/>49.2<br/></td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">0.0<br/>20.0<br/>24.0<br/>23.0<br/>21.0<br/>17.0<br/>19.0<br/>16.0<br/>19.0<br/>21.0<br/>18.0<br/>22.0<br/></td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">0.0<br/>4.0<br/>7.0<br/>6.0<br/>8.0<br/>1.0<br/>5.0<br/>5.0<br/>6.0<br/>8.0<br/>7.0<br/>2.0<br/></td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%<br/>over 50%<br/>over 50%<br/>over 50%<br/>over 50%<br/>over 40%<br/>over 40%<br/>over 50%<br/>over 40%<br/>over 50%<br/>over 50%<br/>over 50%<br/></td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">59.3<br/>58.9<br/>48.2<br/>50.7<br/>55.4<br/>58.9<br/>66.4<br/>54.9<br/>51.7<br/>52.5<br/>48.9<br/></td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 40%</td><br/>
<tr style="border-top: 1px solid black;">
<td style="text-align: right;">over 50%</td><br/>
<tr style="border-top: none; border-bottom-style:solid; border-bottom-width:.3em; border-bottom-color:black; padding-bottom:.3em; padding-right:.3em; padding-left:.3em; padding-top:.3em; text-align:right; font-weight:bold; font-size:.8em; color:#f8f8f8; background-color:#eaeaea; border-radius:.3em;" colspan='9'> 287 </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> </tr> <tr> <table cellspacing="none" cellpadding="none" border="none" align="left" width="auto" height="auto" class="bordered" id="tabel" cellspacing=".3em" cellpadding=".3em" borderwidth=".3em" bordercolor="bordercolor" borderstyle="borderstyle" bordercoloralt="bordercoloralt" bordercolordash="bordercolordash" bordercolordashalt="bordercolordashalt" bordercolordashaltalt="bordercolordashaltalt" bordercolordashaltdash="bordercolordashaltdash" bordercolordashaltdashalt="bordercolordashaltdashalt" bordercolordashaltdashaltalt="bordercolordashaltdashaltalt" bordercolordashaltdashaltdash="bordercolordashaltdashaltdash" bordercolordashaltdashaltdashalt="bordercolordashaltdashaltdashalt" bordercolordashaltdashaltdashaltalt="bordercolordashaltdashaltdashaltalt" bordercolordashaltdashaltdashaltdash="bordercolordashaltdashaltdashal
<table>
<thead>
<tr>
<td rowspan="2">Adult Obesity</td>
<td colspan="3">Green Space Access Deficiency (% value per Ward)</td>
<td colspan="5">Participation in Physical Activity % per week - Adult Obesity -</td>
<td rowspan="2">Obesity Prevalence</td>
</tr>
<tr>
<td>Borough Green Space Surface</td>
<td>Total Ward N.</td>
<td>Ward with Access Deficiency</td>
<td>% Households</td>
<td>1 time a week</td>
<td>5 times per week</td>
<td>LA London England</td>
</tr>
</thead>
<tbody>
<tr>
<td>Hounslow</td>
<td>39.6</td>
<td>20.0</td>
<td>5.0</td>
<td>over 40%</td>
<td>52.4</td>
<td>17.8</td>
<td>20.5</td>
<td></td>
</tr>
<tr>
<td>Islington</td>
<td>12.4</td>
<td>16.0</td>
<td>4.0</td>
<td>over 50%</td>
<td>61.3</td>
<td>22.4</td>
<td>18.0</td>
<td></td>
</tr>
<tr>
<td>Kensington & Chelsea</td>
<td>15.1</td>
<td>18.0</td>
<td>1.0</td>
<td>over 50%</td>
<td>63.5</td>
<td>21.5</td>
<td>13.9</td>
<td></td>
</tr>
<tr>
<td>Kingston upon Thames</td>
<td>36.4</td>
<td>16.0</td>
<td>5.0</td>
<td>over 50%</td>
<td>61.2</td>
<td>23.1</td>
<td>16.7</td>
<td></td>
</tr>
<tr>
<td>Lambeth</td>
<td>17.3</td>
<td>21.0</td>
<td>7.0</td>
<td>over 50%</td>
<td>62.0</td>
<td>30.2</td>
<td>20.7</td>
<td>20.7<br/>24.2</td>
</tr>
<tr>
<td>Lewisham</td>
<td>22.5</td>
<td>18.0</td>
<td>3.0</td>
<td>over 40%</td>
<td>56.4</td>
<td>21.3</td>
<td>23.7</td><td></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br><table cellspacing="0" cellpadding="0"><tbody><tr><th style="text-align: left;">Lewisham<br/></th><th style="text-align: right;">22.5<br/></th><th style="text-align: right;">18.0<br/></th><th style="text-align: right;">3.0<br/></th><th style="text-align: right;">over 40%</th><th style="text-align: right;">56.4<br/></th><th style="text-align: right;">21.3<br/></th><th style="text-align: right;">23.7<br/></th><th style="text-align: right;">20.7<br/>24.2<br/></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></th><th style="text-align: right;"></table>
<tr>
<th>Sutton & Merton </table>
<table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="0"><tbody><tr><table cellspacing="0" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr rowspan=""><table cellspacing="" cellpadding="" rowspan=""><tbody rowspan=""><tr row=""><span class="">Sutton & Merton </span> </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> <span class="">Merton </span> </div>
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'\</page_number>: 36 BETTER ENVIRONMENT, BETTER HEALTH
**Table 2** Active Travel and Transport Data
<table>
<thead>
<tr>
<th></th>
<th>Number of Travels per day' (000's)</th>
<th>Annual Casualties on the Road, 2005-2009 average</th>
<th>% Change 2005-2009 to 2011</th>
<th>Average Fatalities 2005-2009</th>
<th>Number of Vehicles</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>280</td>
<td>604</td>
<td>7</td>
<td>5</td>
<td>115,178</td>
</tr>
<tr>
<td>Barnet</td>
<td>769</td>
<td>1,344</td>
<td>3</td>
<td>13</td>
<td>97,861</td>
</tr>
<tr>
<td>Bexley</td>
<td>357</td>
<td>644</td>
<td>-12</td>
<td>4</td>
<td>107,803</td>
</tr>
<tr>
<td>Brent</td>
<td>592</td>
<td>918</td>
<td>-2</td>
<td>8</td>
<td>122,900</td>
</tr>
<tr>
<td>Bromley</td>
<td>691</td>
<td>929</td>
<td>-6</td>
<td>10</td>
<td>45,486</td>
</tr>
<tr>
<td>Camden</td>
<td>744</td>
<td>902</td>
<td>3</td>
<td>5</td>
<td>93,779</td>
</tr>
<tr>
<td>City of London</td>
<td>262</td>
<td>369</td>
<td>11</td>
<td>2</td>
<td>73,434</td>
</tr>
<tr>
<td>Croydon</td>
<td>720</td>
<td>1,208</td>
<td>2</td>
<td>6</td>
<td>42,861</td>
</tr>
<tr>
<td>Ealing</td>
<td>633</td>
<td>1,155</td>
<td>-15</td>
<td>10</td>
<td>136,071</td>
</tr>
<tr>
<td>Enfield</td>
<td>594</td>
<td>1,033</td>
<td>7</td>
<td>12</td>
<td>98,621</td>
</tr>
<tr>
<td>Greenwich</td>
<td>428</td>
<td>919</td>
<td>7</td>
<td>9</td>
<td>95,934</td>
</tr>
<tr>
<td>Hackney</td>
<td>404</td>
<td>948</td>
<td>-8</ td><span style="color: #FF0000;">5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/>5<br/></span><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></span><span style="color: #FF0000;"><span style="color: #FF0000;">Hackney 404 948 -8 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...<span style="color: #FF0000;">...<span style="color: #FF0000;">Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney Hackney HackneyHackneyHackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF0000;">Hackne...<span style="color: #FF000...</table>
<table id='table_2'>
<tr><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><th>Barking & Dagenham</th><th>280</th><th>604</th><th>1</th><th>5</th><th>115,178</th></tr><tr><th>Barnet</th><th>769</th><th>1,344</th><th>3</th><th>13</th><th>97,861</th></tr><tr><th>Bexley</th><th>357</th><th>644</th><th>-12</th><th>4</th><th>107,803</th></tr><tr><th>Brent</th><th>592</th><th>918</th><th>-2</th><th>8</th><th>122,900</th></tr><tr><th>Bromley</th><th>691</th><th>929</th><th>-6.</th><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</span><span style="color: #FFAFAF;">-</ span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.</s span color:"#ffaaaf">-6.<\/font>\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bfe\u3bf...
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BETTER ENVIRONMENT, BETTER HEALTH
**Table 3 Air Quality Data**
| | Fraction (%) of mortality attributable to long term exposure to PM2.5 | Rank | % different from UK average | Number of Air Quality Focus Areas | |---|---|---|---|---| | Barking & Dagenham | 7.1 | 14 | 27% | 3 | | Barnet | 6.8 | 10 | 21% | 15 | | Bexley | 6.6 | 7 | 18% | 1 | | Brent | 7.2 | 17 | 29% | 6 | | Bromley | 6.3 | 1 | 13% | 1 | | Camden | 7.7 | 24 | 38% | 5 | | City of London | 9 | 33 | 61% | 2 | | Croydon | 6.5 | 5 | 16% | 5 | | Ealing | 7.2 | 17 | 29% | 5 | | Enfield | 6.6 | 7 | 18% | 10 | | Greenwich | 7.2 | 17 | 29% | 7 | | Hackney | 7.8 | 26 | 39% | 8 | | Hammersmith and Fulham | 7.9 | 27 | 41% | 5 | | Haringey | 7.1 | 14 | 27% | 9 | | Harrow | 6.4 | 3 | 14% | 5 | | Havering | 6.3 | 1 | 13% | 3 | | Hillingdon | 6.5 | 5 | 16% | 8 | | Hounslow | 7.1 | 14 | 27% | 10 | | Islington | 7.9 | 27 | 41% | 3 | | Kensington and Chelsea | 8.3 | 31 | 48% | 3 | | Kingston upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upon Thames upo... \<page_number>38\</page_number> Source: BETTER ENVIRONMENT, BETTER HEALTH
**Table 4** Healthy Food Data
<table>
<thead>
<tr>
<th></th>
<th>Adult Obesity Prevalence</th>
<th colspan="3">Participation in Physical Activity % per week</th>
<th colspan="2">Childhood Obesity Prevalence (6yrs old)</th>
<th colspan="3">% Consumption of 5 portions of fruits and vegetables a day</th>
</tr>
<tr>
<th></th>
<th></th>
<th>Once a week</th>
<th>5 times per week</th>
<th>LA</th>
<th>Total MSOA N.</th>
<th>Areas (MSOA) with highest % of consumption</th>
<th>% Intervals</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>28.7</td>
<td>45.1</td>
<td>15.4</td>
<td></td>
<td>22</td>
<td></td>
<td>8</td>
<td>(25.40 - 31.20)</td>
</tr>
<tr>
<td>Barnet</td>
<td>17.9</td>
<td>54.9</td>
<td>17.6</td>
<td></td>
<td>41</td>
<td></td>
<td>16</td>
<td>(43.90 - 56.10)</td>
</tr>
<tr>
<td>Bexley</td>
<td>26.4</td>
<td>60.8</td>
<td>20</td>
<td></td>
<td>28</td>
<td></td>
<td>10</td>
<td>(31.20 - 37.20)</td>
</tr>
<tr>
<td>Brent</td>
<td>21.2</td>
<td>49.4</td>
<td>16.3</td>
<td></td>
<td>34</td>
<td></td>
<td>13</td>
<td>(38.20 - 45.30)</td>
</tr>
<tr>
<td>Bromley</td>
<td>21.8</td>
<td>62.4</td>
<td>21.1</td>
<td></td>
<td>39</td>
<td></td>
<td>15</td>
<td>(27.20 - 45.30)</td>
</tr>
<tr>
<td>Camden</td>
<td>15.5</td>
<td>65.1</td>
<td>26</td>
<td></td>
<td>28</td>
<td></td>
<td>10</td>
<td>(44.60 - 55.10)</td>
</tr>
<tr>
<td>City of London</td>
<td></td>
<td>52.8</td>
<td>28.7</td>
<td></td>
<td></td>
<td></td><td><strong>48</strong></td><td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td>City of Westminster</td><td>15</td><td>59.3</td><td>25.4</td><td></td><td>24</td><td></td><td><strong>10 </strong></td><td>(48.60 - 52.10)</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> |<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>€|<strong>€</strong>&&#
<table>
<thead>
<tr>
<td>Kensington & Chelsea</td>
<td>13.9</td>
<td>63.5</td>
<td>21.5</td>
<td>21</td>
<td>8</td>
<td>(50.70 - 54.30)</td>
</tr>
<tr>
<td>Kingston upon Thames</td>
<td>16.7</td>
<td>61.2</td>
<td>23.1</td>
<td>20</td>
<td>8</td>
<td>(41.90 - 49.40)</td>
</tr>
<tr>
<td>Lambeth</td>
<td>20.7</td>
<td>62</td>
<td>30.2</td>
<td>35</td>
<td>13</td>
<td>(36.00 - 42.90)</td>
</tr>
<tr>
<td>Lewisham</td>
<td>23.7</td>
<td>56.4</td>
<td>21.3</td>
<td>36</td>
<td>14</td>
<td>(36.00 - 42.90)</td>
</tr>
<tr>
<td>Merton</td>
<td>19.1</td>
<td>55</td>
<td>17.5</td>
<td>25</td>
<td>10</td>
<td>(41.40 - 55.40)</td>
</tr>
<tr>
<td>Newham</td>
<td>25.3</td>
<td>45.7</td>
<td>17.3</td>
<td>37</td>
<td>13</td>
<td>(32.60 - 36.60)</td>
</tr>
<tr>
<td>Redbridge</td>
<td>22.3</td>
<td>54.5</td>
<td>19.4</td>
<td>33</td>
<td>12</td>
<td>(35.50 - 43.30)</td>
</tr>
<tr>
<td>Richmond upon Thames</td>
<td>14.9</td>
<td>69.3</td>
<td>27.4</td>
<td>23</td>
<td>8</td>
<td>(44.70 - 48.30)</td>
</tr>
<tr>
<td>Southwark</td>
<td>22.5</td>
<td>59.5</td>
<td>19.5</td>
<td>33</td>
<td>11</td>
<td>(37.50% - 43.30)</td>
</tr>
<tr>
<td>Sutton</td>
<td>21.6</td>
<td>64.2</td>
<td>19.7</td>
<td>24</td>
<td>9</td>
<td>(35.20 - 44.30)</td>
</tr>
<tr>
<td>Tower Hamlets</td>
<td>19.4</td>
<td>55.9</td>
<td>19.7</td>
<td>31</td>
<td>12</td>
<td>(29.70 - 42.90)</td>
</tr>
<tr>
<td>Waltham Forest</td>
<td>23.4</td>
<td>56.2</td>
<td>20.3</td>
<td>28</td>
<td>10</td>
<td>(33.70 - 37.40)</td>
</tr><tr style="border-top: 1px solid black;">
<th>Average<br/>London<br/>England<br/>Source<br/></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr style="border-top: 1px solid black;">
<th></table>
Health Needs Assessment Toolkit National Obesity Observatory (2010-2011) Health Needs Assessment Toolkit
\<page_number>40\</page_number> BETTER ENVIRONMENT, BETTER HEALTH
**Table 5 Fuel Poverty Data**
<table>
<thead>
<tr>
<th></th>
<th>Excess winter deaths<br>2010/11</th>
<th colspan="3">Population Aged 65</th>
<th>Households in privately-rented 2011</th>
<th>Percentage in privately-rented<br>2011</th>
</tr>
<tr>
<td></td>
<td></td>
<td>2012</td>
<td>2025</td>
<td>2040</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Barking and Dagenham</td>
<td>60</td>
<td>19,700</td>
<td>24,700</td>
<td>35,900</td>
<td>17,000</td>
<td>22.9</td>
</tr>
<tr>
<td>Barnet</td>
<td>90</td>
<td>49,400</td>
<td>65,600</td>
<td>88,100</td>
<td>28,000</td>
<td>20.5</td>
</tr>
<tr>
<td>Bexley</td>
<td>90</td>
<td>38,500</td>
<td>45,100</td>
<td>56,300</td>
<td>10,000</td>
<td>10.9</td>
</tr>
<tr>
<td>Brent</td>
<td>40</td>
<td>33,800</td>
<td>46,300</td>
<td>61,100</td>
<td>26,000</td>
<td>29.2</td>
</tr>
<tr>
<td>Bromley</td>
<td>190</td>
<td>54,200</td>
<td>64,200</td>
<td>79,500</td>
<td>17,000</td>
<td>12.6</td>
</tr>
<tr>
<td>Camden</td>
<td>70</td>
<td>24,800</td>
<td>30,200</td>
<td>39,300</td>
<td>29,000</td>
<td>26.8</td>
</tr>
<tr>
<td>City of London</td>
<td>10</td>
<td>1,100</td>
<td>1,700</td>
<td>2,800</td>
<td>1,000</td>
<td>8.6</td>
</tr>
<tr>
<td>Croydon</td>
<td>70</td>
<td>46,200</td>
<td>61,200</td>
<td>84,100</td>
<td>19,000</td>
<td>13.9</td>
</tr>
<tr>
<td>Ealing</td>
<td>90</td>
<td>37,500</td>
<td>49,900</td>
<td>65,300</td>
<td>29,000</td>
<td>24.3</td>
</tr>
<tr>
<td>Ealing (cont.)<br>Hounslow (cont.)<br>Hillingdon (cont.)<br>Hounslow (cont.)<br>Kensington and Chelsea (cont.)<br>Kingston upon Thames (cont.)<br>Lambeth (cont.)<br>Lewisham (cont.)<br>Merton (cont.)<br>Newham (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Dulwich (cont.)<br>Southwark (cont.)<br>Sutton (cont.)
<table style="width: 1%; border-collapse: collapse;">
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<th style="border: none;">Source:</th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></th><th style="border: none;"></thal
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<TH colspan='8'>Table 5 Fuel Poverty Data<br/></TH>
```
<TH colspan='8'>Excess winter deaths<br/>2011/11<br/></TH>
<TH colspan='8'>Population Aged 65<br/>2012<br/>2025<br/>204<br/></TH>
<TH colspan='8'>Households in privately-rented 211<br/></TH>
<TH colspan='8'>Percentage in privately-rented<br/>211<br/></TH>
<TH colspan='8'>City of London<br/>Croydon<br/>Ealing<br/>Enfield<br/>Greenwich<br/>Hackney<br/>Hammersmith and Fulham<br/>Haringey<br/>Harrow<br/>Havering<br/>Hillingdon<br/>Hounslow<br/>Islington<br/>Kensington and Chelsea<br/>Kingston upon Thames<br/>Lambeth<br/>Lewisham<br/>Merton<br/>Newham<br/>Redbridge<br/>Richmond upon Thames<br/>Southwark<br/>Sutton<br/>Tower Hamlets<br/>Waltham Forest<br/>Wandsworth<br/>Westminster<br/></TH>
<TH colspan='8'>City of London<br/>Croydon<br/>Ealing<br/>Enfield<br/>Greenwich<br/>Hackney<br/>Hammersmith and Fulham<br/>Haringey<br/>Harrow<br/>Havering<br/>Hillingdon<br/>Hounslow<br/>Islington<br/>Kensington and Chelsea<br/>Kingston upon Thames<br/>Lambeth<br/>Lewisham<br/>Merton<br/>Newham<br/>Redbridge<br/>Richmond upon Thames<br/>Southwark<br/>Sutton<br/>Tower Hamlets<br/>Waltham Forest<br/>Wandsworth<br/>
</TH>
<TH colspan='8'>City of London<br/>Croydon<br/>Ealing<br/>Enfield<br/>Greenwich<br/>Hackney<br/>Hammersmith and Fulham<br/>Haringey<br/>Harrow<br/>Havering<br/>Hillingdon<br/>Hounslow<br/>Islington<br/>Kensington and Chelsea<br/>
</TH>
<TH colspan='8'>City of London...
```
# ACKNOWLEDGEMENTS
**Project Team—Responsible for project management, project delivery and writing the guides:** Annette Figueiredo- Principal Policy & Programme Officer, Resilience and Quality of Life Team-GLA Jason Strelitz, Public Health Specialist, GLA Alena Ivanova; Elena Guidorzi; Joe Parsons- MA/MSc postgraduate students-University of London, Kings College, GLA work placements Dr Angie Bone-Consultant in Public Health Medicine, Extreme Events and Health Protection, Public Health England
**The Project Team would like to thank everyone who has been involved in the project and contributed to the production of the guides. Particular thanks go to:**
**GLA Staff** Helen Walters, Head of Health Alex Nickson, Policy & Programmes Manager, Resilience and Quality of Life Team Peter Massini, Principal Policy & Programme Officer, Resilience and Quality of Life Team Lucy Saunders, Public Health Specialist, Health Team Jonathan Pauling, Principal Policy Officer, Food, Economic & Business Policy Team Mark Ainsbury, Senior Policy Officer, Food, Economic & Business Policy Team Elliot Trehane, Principal Policy & Programme Officer, Resilience and Quality of Life Team Liz Possessi, Senior Project Officer, Health Schools London, Health Team Kat McKinlay, Policy Officer, Transport Team Gareth Baker, GIS Officer, GIS and Infrastructure Team Michael Jeffreys, GIS Officer, GIS and Infrastructure Team Alison Murray, Programme Officer, Regeneration Team Emma Williamson, Principal Strategic Planner, Planning Team Susan Pape, Internal Communications Officer, HR & Organisational Development, Communications Team Una Buckley, Employee Engagement Manager, HR & Organisational Development Charlotte Hall, Health Inequalities Programme Leader, Health Team Larissa Bulla, Principal Policy & Programme Officer, Energy & Waste Team Kevin Reid, Principal Policy & Programme Officer, Resilience and Quality of Life Team Rebecca Roper, Childhood Obesity and Health Team Support Officer, Health Team GLA Design Team
**Other Colleagues** Alex Trouton, Policy and Information Officer, Lambeth and Southwark Public Health Department Jonathan Hiderband, Director of Public Health, London Borough of Kingston Caroline Hancock, Senior Public Health Analyst – Public Health England Thomas Abeling, PhD Researcher; UNITED NATIONS UNIVERSITY; Institute for Environment and Human Security (UNU,EHS) Paul Jameson; UNICEF United Nations Global Compact; Cities Programme John Koll-Murray, Seasonal Health Officer, Islington Council Fiona Daly – Environmental Manager, Barts Health NHS Trust Gordon Deuchars, Policy and Campaigns Manager, Age UK London Dr Anna Mavrogianni, Lecturer in Environmental Design and Engineering, UCL Jonathon Taylor, Research Associate, UCL Professor Virginia Murray, Head of Extreme Events and Health Protection, PHE Professor Sue Grimmond – Department of Meteorology, University of Reading
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**Punjabi** मे तुम्हारी भाषा को बनाए गए यहाँ उपलब्ध है। जो वेबसाइट पर देख सकेंगे या डाउनलोड कर सकेंगे वह तुम्हारी भाषा में है।
**Hindi** वर्तमान में आपका इस दशक की प्रति अनुभव माना जाता है, तो यहाँ कुछ निमिशों की नज़र रखें। यहाँ पर कोई कैसे अच्छा मौसम हैं या कैसे संभव हैं।
**Bengali** বাংলা পর্যন্ত জালানী কাঠামো এবং বিনিময় ক্ষতিগ্রস্থি (কেন্দ্র) এবং কারা শহরে শিক্ষা সম্পর্কে বাংলা বিকাশের প্রথম বছরের দশকের কারণ।
**Urdu** ایک اسپیکر کی نظر بندی کریں، زیرا کیوں پہلے دنیا کی جگہ جگہ میں سب سے بڑا کم کرنے کی کوشش کرتے ہیں۔
**Arabic** إذا أردت نشر هذه الوثيقة، يرجى الاتصال برقم الهاتف أو البريد الإلكتروني المحدد أدناه.
**Gujarati** ઘરે આવી જાતી વિદ્યાર્થીઓ નાના સમાજ વિદ્યાર્થીઓ પોતાની પોતાની તરીકે, ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સમજો તરીકે ધ્વજ ઉપર સमજો તરીકે
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<img>Great Northern GAYWICK EXPRESS SOUTHERN ThamesLink /</img>
13th February 2019
Stephanie Tobyn Deputy Director, Railway Markets and Economics Office of Rail and Road One Kemble Street 2nd and 3rd Floors London WC2B 4AN
Dear Marcus
**Re: Investigation findings of GTR Compliance with condition 4 of GB statement of National Regulatory Provisions: Passengers (SNRP).**
1. We refer to your letter of 29 January 2019 (and accompanying extracts of your draft evidence report) summarising your preliminary findings following your investigation into GTR’s management and handling of its passenger information obligations prior to the May 2018 timetable implementation and during the subsequent disruption. Unless stated otherwise, references to paragraph numbers below are to paragraphs of your 29 January letter. We also attach a document which contains GTR’s comments on your draft evidence report extracts and the appendices have been uploaded to the dropbox system.
2. We wish to acknowledge at the outset that the services and information provided to our passengers at this time, especially in the initial implementation of the May 2018 timetable, was not of the same quality that we would have sought to strive to produce. We have recognised this, apologised to our passengers and stakeholders and will continue to do so in order fully those passengers most severely affected. However, as we shall explain further below, these were truly exceptional circumstances which were a direct result of industry failings.
3. It is noted that you consider that GTR took reasonable practicable steps to provide appropriate, accurate and timely information to passengers prior to the timetable change on 20 May 2018. It should also be noted that contrary to the final sentence of paragraph 11 of your letter, GTR’s published timetables did indicate that the times shown may not be correct. All timetables including, paper mins and pdf’s on GTR’s websites, contained a warning red triangle on the front page which said ‘major changes during this timetable – check before you travel.’
4. Your preliminary view, based on the available evidence is that “with particular reference to its provision of information to passengers during the subsequent disruption i.e. following the implementation of the 20 May 2018 timetable, that there is evidence to suggest GTR is in contravention of condition 4 of its passenger licence. In particular, that it failed to deliver to the greatest extent reasonably practicable, having regard to all relevant circumstances, including the fundamental purpose of providing a service for passengers, adequate and timely information to enable railway passengers and prospective passengers to plan and make their journeys with a reasonable degree of assurance, including when there is disruption.” [our emphasis] (paragraph 7).
5. You have recognised that the exceptional circumstances that followed the introduction of the 20 May timetable meant that providing perfect advance information for all services was from the outset, an impossible task. (paragraph 14) and that the licence condition is not intended to undermine the primary objective of providing the best available service for passengers (paragraph 15). However, you believe that there is evidence to suggest that GTR failed to
Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 3rd Floor, 41 - 51 Grey Street, Newcastle upon Tyne, NE1 6EE. <img>Great Northern GAYWICK EXPRESS</img> <img>SOUTHERN</img> <img>ThamesLink /</img>
achieve an appropriate balance between service recovery and the need for appropriate passenger information to an unacceptable extent and duration throughout the implementation of the service recovery plan (paragraph 16). It is GTR's position that it did and is doing everything reasonably practicable to achieve compliance with its obligations set out in licence condition 4. We do not agree with the alleged failings set out in your letter and consider that your findings have failed to take account of all relevant circumstances.
6. Whilst we set out our position below, we should state at the outset that we are concerned that insufficient consideration has been given by ORR in this investigation to the factors that caused the severe disruption suffered following the introduction of the May 2018 timetable, which are critical to understanding why GTR was not able to provide more accurate and timely information to its passengers. We note, for example, that ORR describes the remit of its investigation as being "to determine whether GTR has complied with its obligations under the Transport Act 2004" and that "the investigation found no evidence of any failure to comply with those obligations". This would appear to imply that the investigation did not consider what happened in the period following 20 May irrespective of the reasons for that disruption.... [our emphasis] (paragraph 4.5 of the draft evidence report extracts) and would only comment at this stage that the two issues; namely the causes of the disruption and the provision of passenger information, cannot be divorced in that way because they are inextricably linked. Indeed, we fail to see how regard can have been had to 'all relevant circumstances' without considering fully the effect of those causes on GTR's ability to provide reliable information.
Overview
7. ORR's Independent Inquiry Report of 20 September 2019 recognised that the introduction of the 20 May timetable was the largest ever revision to the national timetable involving changes to 46% of train times. In the case of the new GTR timetable, the process was considerably more complicated and time consuming than usual, with the times of every single one of GTR's 3,200 daily services changing, as well as the introduction of 400 new services per day and the creation of new routes connecting destinations that have never been linked together by rail before.
8. The validation of the May 2018 timetable was not provided by Network Rail until April 2018. This had a very significant consequential impact on every other aspect of GTR's preparations for the timetable change, including by diverting resources to resolving the difficulties created by Network Rail. This delay was fundamentally responsible for what followed. In short, the industry process was delayed, deal making was delayed, and investment was delayed. This led to further delays in the failure of GTR's May 2018 timetable and the consequent issues with the information provision to passengers as GTR endeavoured to recover the situation and implement a stable service provision for its passengers. It was as a direct result of the exceptional circumstances that the information provision that GTR was able to provide to its passengers was not of the quality and value that it would usually be able to provide.
Compensation and Investment Initiatives
9. From the start of the disruption, GTR actively promoted the Delay Repay compensation scheme and extended the benefits of this scheme for passengers so that it was payable against either: the planned May 2018 timetable, or, the service that operated on the day. Enhanced compensation was also made available for season ticket holders; and in August 2018 GTR introduced an additional passenger compensation scheme to compensate those passengers on Thameslink and Great Northern most impacted by the disruption. (See GTR submission to the Inquiry, 12 July 2018 and GTR submission to the Investigation, 16 October 2018). To date GTR has paid out in excess of £17.7m in compensation under this additional passenger compensation scheme.
Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 3rd Floor, 41 - 51 Grey Street, Newcastle upon Tyne, NE1 6EE. <img>Great Northern logo</img> <img>GATWICK EXPRESS</img> <img>SOUTHERN logo</img> <img>ThamesLink /</img>
10. Furthermore, GTR has made £15m available to develop and implement initiatives which will benefit passengers who were affected by the issues surrounding the implementation of the May 2018 timetable. GTR has agreed to work with rail user groups representing affected passengers in order that they may determine the substance of those initiatives. In addition, GTR has accepted that it will make no profit from its franchise in this financial year and it's profits have been capped for the remainder of the franchise.
**Survey Information**
11. ORR's findings appear to rely heavily on the survey undertaken by GfK which included "quantitative surveys with 255 GTR passengers, two qualitative focus groups (comprised of 6-8 participants) with GTR passengers and two qualitative tele-depth interviews with GTR rail staff" (paragraph 2.7 of the draft evidence report extracts). ORR also conducted its own research via an online survey which produced 1573 responses from GTR passengers. GTR has not been given an opportunity to review the instructions given to GfK or others on which these surveys were based or the data that presumably underpins the findings set out in the draft evidence report extracts and accompanying GfK report.
12. GTR challenges the reliance placed by ORR on this research in reaching its conclusions. The quantitative report itself states that "these respondents have travelled with specified TOC since 20 May but they may have also travelled with other TOCs - data is therefore not entirely attributable to GTR and Northern". Furthermore, the statistical significance of the number of respondents was not provided. It is unclear how representative this sample is of the number of passengers actually travelling on GTR's services during this period and the number of passenger facing GTR employees. At the time of the May 2018 timetable implementation, GTR carried on average 1.06m passengers per weekday including in excess of 474,000 passengers per weekday on its Thameslink and Great Northern services and there are 982 front line staff on the Thameslink and Great Northern services.
13. GTR makes representations on the individual failings found by ORR as follows:
**Passenger information strategy**
14. GTR refutes the assertions that there was either (i) "a lack of alignment between the operational decisions being implemented as part of the service recovery plan and other key functions that were concerned with the need to provide better passenger information" (paragraph 18) or (ii) "insufficient evidence to demonstrate that the subsequent scale and extent of the information failure ... was adequately considered or acted upon throughout the weeks of disruption that followed" (paragraph 19). During this period, all Network Rail Customer Information Teams, Rail Operating Centre at Three Bridges ("Control") were aligned during this period. The operational teams and those responsible for disseminating information were co-located in Control, along with the Network Rail teams. The customer information teams were manually updating the passenger systems as the operational decisions were being made. This evidences the alignment between operational decisions and passenger information provision for passengers. The issue with the information provision at times not being accurate and timely was as a result of the exceptional circumstances and the sheer scale of the amended service operations, the number of decisions needing to be made, the changes this then entailed and the manual interventions required. Evidence of this alignment is in GTR submission to the investigation, 16 October 2018, Appendix 9 Command and Control Document.
15. Southern and Gatwick Express services did not suffer to the same extent from the late validation of the timetable issues and the operational and passenger information systems were therefore fully uploaded and correct for the implementation of the May 2018 timetable. As a
Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 3rd Floor, 41 - 51 Grey Street, Newcastle upon Tyne, NE1 6EE. <img>Great Northern GAYWICE EXPRESS</img> <img>SOUTHERN THAMESLINK</img>
result, passengers travelling on those services which at the time made up over 63% of the GTR operation were not as significantly affected as the passenger information was held and displayed correctly within the industry information systems see GTR's submission to the Inquiry, 16 July 2018.
16. As GTR has evidenced, as it became apparent during the first week following the implementation of the May timetable that there was no short term fix to the problems emerging with the resourcing of the timetable, GTR took all the reasonable steps that any operator would have been able to implement at this time faced with that emerging situation and the industry systems and processes. The fact that, in ORR's view, adequate passenger outcomes were not delivered would in GTR's view have been the same for any train operator facing the scale of the situation that GTR faced. GTR has a wealth of industry experience at its disposal, its staff dealing with disruption also worked for other TOCs and other transport providers and thus industry experience was leveraged to provide the best available outcome for passengers in the exceptional circumstances.
17. ORR's finding that GTR failed to implement an effective strategy to deliver passenger information in a timely manner is correct in that it did not fully understand the service and thus did not optimise passenger information as best it could fail to take into account either the exceptional circumstances, the sheer scale of the disruption that GTR was facing and the ability of the industry systems and processes to cope with that or the additional resources that GTR deployed. GTR's customer information strategy at this time was to ensure that National Rail Enquiries and industry systems were kept up to date. Additional resources were bought into Control Centre to support delivery of passenger information and to assist in ensuring the effectiveness of special stop orders. GTR placed additional resource in the neighbouring Network Rail Controls (York, Derby) to assist in the management of operational decisions and the provision of customer information across those routes. Station threads were utilised to support the information flow between the station teams and the information delivery teams in Control. Control conferences were also held to discuss internal information delivery issues. In addition to this plan of action, GTR also worked closely with National Rail Enquiries to ensure it was able to tag journeys in journey planners and live departure boards and engaged with Transport Focus to ensure its messaging was as clear and informative as it could be. (see GTR Submission to the Inquiry 24 July 2018, GTR submission to the Investigation 16 October 2018, and GTR submission to the investigation 12 November 2018).
**Provision of "Alpha List" information**
18. The ORR considers that the Alpha list could have been published sooner than 25 June which it believes would have provided greater certainty to passengers. This consideration has been made with the benefit of hindsight. Even if there was certainty at that time that the services in the Alpha list were fixed, which GTR does not accept, GTR does not believe that the publication of lists of this type would have been appropriate for passengers as they only contain the origin and destination station and not the detail of the intermediate stops. The better solution was to produce accurate revised timetables for passengers. Once GTR was confident of the stability of this Alpha list, it was published on 25 June 2018 in a more user friendly format and that data was included in the information which was uploaded to journey planners in advance of the publication of the revised pdf timetables on 25 June 2018.
19. It should also be noted that the information in the Alpha lists was available to passengers prior to 25 June 2018. The information was uploaded into the industry systems that were then available for passengers in the journey planners: this was completed weekly until 19 June. However due to the sheer volume of changes and the ability of the systems to deal with that volume this information was not always accurate and up to date. Documents referred to in GTR submission to the investigation 16 October 2018, Appendix 24 Short Term timetable – Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 41-5 Grey Street, Newcastle upon Tyne, NE1 6EE. <img>Great Northern GAYWICK EXPRESS</img> <img>SOUTHERN</img> <img>ThamesLink /</img>
Train Alterations Process and Appendix 26 – Current revised timetable arrangements V7 clearly evidence the process and the information provision and the alignment of GTR’s operational and customer experience teams.
**Day to day amendments**
20. GTR is primarily a commuter operator and throughout the period of disruption GTR’s priority was to enable as many of its passengers as possible to undertake their journeys. The availability of train crew and location of its fleet fluctuated on a daily basis throughout this period and as trains and crew became available GTR would seek to make use of it and provide additional capacity which inevitably resulted in day to day amendments. This information was made available to customers through the updating of industry systems as described above.
21. GTR mitigated the effect of this late notice information for passengers by issuing advice to “check as close to the time of travel as possible” or “to check immediately before travel”. Whilst it accepted that late notice changes inevitably have an impact on the accuracy of passenger information, the only alternative at the time would have been to implement an emergency timetable. Emergency timetable changes normally relate to very short term disruptions rather than to longer term disruption of the unprecedented scale faced in May 2018. Also whilst introducing an emergency timetable would have had the effect of providing passengers with more appropriate and timely information, it would have resulted in a severely limited service - for example the maximum number of trains per hour on the Bedford to London route would have been 30, which was well below the level of service that would have been present that demand would have exceeded capacity to an unacceptable extent. As explained in the GTR interview by ORR (transcribed), 24 October 2018, this was not a viable alternative solution.
**Ongoing Compliance with Condition 4**
22. In respect of compliance with the Informed Traveller process, until the 15 July 2018 interim timetable had been completed, there was no base weekend timetable from Network Rail for GTR to plan the weekend engineering timetables upon. Consequently GTR developed a short term weekend base timetable for GTR’s control and planners to work with. In addition the volume of seasonal engineering work (especially Network Rail programme Works) is significant. This included multiple weekend possessions of the Brighton mainline throughout 2018 (including access during the summer) and early 2019. Christmas blockade access at Victoria over Christmas 2018 – access that changed at short notice, further significant engineering access over Christmas on the southern part of the Midland Mainline (Kentish Town), a mid-day engineering blockade on the Brighton Mainline (Three Bridges to Brighton) in February 2019, a late day engineering blockade on the East Coast Mainline (Louth to Scunthorpe) in March 2019 and, late engineering change on the Network Rail Southeast route being at higher levels than on any other route. GTR prioritised the work needed to bid for the engineering work above to enable passengers on these high priority routes to be informed in accordance with the National Recovery Plan.
23. The consequences of this, is that currently, GTR is sending alterations to Network Rail between TW-9 and TW-12, on an upward trajectory. GTR has agreed with Network Rail that once GTR has sent timetable alterations; they will be uploaded and sent down-stream, with the validation work to follow and any subsequent alterations re-uploaded.
24. GTR is continuing to improve the information delivery to customers during planned engineering works in accordance with its letter to ORR dated 14 May 2018. Rail Delivery Group monitors how TOC’s are delivering information about engineering work to passengers due to the industry
Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 3rd Floor, 41 - 51 Grey Street, Newcastle upon Tyne, NE1 6EE. <img>Great Northern GAYWICK EXPRESS</img> <img>SOUTHERN ThamesLink logo</img> <img>ThamesLink /</img>
changes to the Informed Traveller process. Rail Delivery Group shows GTR as green on all mitigations in their monitoring dash board. (see Appendix 1 engineering works collateral).
25. GTR has acknowledged that the services and information provided to its passengers in the initial implementation of the May 2018 timetable were not of the accuracy and quality that it would normally strive to produce. GTR has explained that this is solely as a result of the industry failings and that no other reason could have been identified for which the provision of information provision could be based. These were truly exceptional circumstances. Subsequent and continuing compliance with Condition 4 is demonstrated by the information provision to passengers during the implementation of the interim timetable on 15 July 2018 and the phasing in of additional services through September 2018. Please see GTR evidence packs provided at Appendices 2 and 3.
26. Again, the timetable changes in December 2018 were implemented in accordance with the timelines of the industry procedures. On 10 December 2018, GTR successfully introduced over 200 additional weekday services with a further extra 12 night time services on 12 January 2019. GTR is not aware of any suggestion of any failings on its part in relation to the provision of appropriate, accurate and timely information for passengers as a result of this timetable change. Please see GTR evidence pack provided at Appendix 4.
27. The reference to it being “not clear whether GTR is currently considering passenger information to a sufficient extent during times of planned changes (eg engineering work such as that on the Brighton mainline) which may indicate a more systemic issue” (paragraph 34) is wholly without foundation. The evidence provided by Transport Focus does not support any suggestion of there being any systemic issue. Transport Focus produced a Customer Awareness Report on 10 December 2018, with research being carried out through October and November 2018. This research showed that 88% of passengers overall and 92% of commuters were aware of the planned February ‘blockade’.
28. Network Rail and GTR are jointly communicating to passengers about The Brighton Mainline Improvement Project. Through its websites GTR directs passengers to the dedicated Project website where passengers can sign up for updates and obtain information. The dedicated website is branded with Southern, Thameslink, Gatwick Express, and Network Rail trademarks as well as the Funded by UK Government’s mark. Passenger communications commenced in April 2018. The information provided on the website has been updated as suggested in your letter. The information has been provided on the Project website since November 2018 including information that there were no direct buses from Brighton to Three Bridges. Leaflets were issued in October 2018 which also included advice on other routes affected. This information is also available on the Project website. Please see evidence pack provided at Appendix 5.
29. It should also be noted that GTR has in place service recovery frameworks (SRF) to respond to disruptive events across GTR’s routes, which are supported by customer plans. Since May 2018, GTR has rolled out new smart phones to all of its front line staff pre-loaded with industry information applications to enable our staff to have improved access to passenger information. It became apparent however that these systems had limitations and that GTR’s IT system was not able to keep up the level of changes being inputted into the system, so GTR converted to a cloud based scalable environment to allow the system to respond to user demand more effectively.
30. A key part of the learning that the industry needs to take from the May 2018 timetable change is that all industry parties should adhere to industry processes and timescales in particular Part D of the Network Code. If this is adhered to, then this is the crucial starting point to enable the timely and accurate delivery of information to passengers. No train operator, including GTR, should ever be placed again in a position where its passengers and staff suffer as a result of
Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 3rd Floor, 41 - 51 Grey Street, Newcastle upon Tyne, NE1 6EE. <img>Great Northern logo</img> <img>GX GAYWICK EXPRESS</img> <img>SOUTHERN logo</img> <img>ThamesLink logo</img>
compressed planning timescales and GTR has taken and will in future take action at the timetable planning stage to avoid this - for example GTR rejected suggested late changes which were proposed to the December 2018 timetable. This approach and has also become more evident in the wider industry with for example the deferral of major planned December 2018 timetable changes and the introduction of the Project Management Office.
31. This letter is being copied to Polly Payne, Ruth Hannant and Tim Rees at the Department of Transport.
Yours sincerely
<signature>Keith Jipps</signature>
Keith Jipps Infrastructure Director
Govia Thameslink Railway Limited, Monument Place, 24 Monument Street, London, EC3R 8AJ. Registered in England under number: 07834306. Registered office: 3rd Floor, 41 - 51 Grey Street, Newcastle upon Tyne, NE1 6EE.
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<img>Cyfleth Naturiol Cymru Natural Resources Wales logo</img>
# Cwestiynau Cyffredin
**Cais am drwydded amgylcheddol bwrpasol newydd Horizon Nuclear Power Wylfa Cyf**
**Ein rôl a rôl rheoleiddwr eraill**
1. **Sut mae CNC yn ymwneud â gorsafoedd ynni niwclear?** Cyfleth Naturiol Cymru (CNC) yw rheoleiddwr amgylcheddol Cymru ac un o'n prif swydd yw sicrhau bod pobl â'r amgylchedd yn cael eu gwarchod rhag gweithgarreddau diwydiarnol. Ni yw'r gwneuthurwr penderfyniadau allweddl a fydd yn penderfynu a tydd cwmni'n cael trwyddedau sy'n ofynnol yn gyfreithion i weithredu gorsaf bwer niwclear. Os rhodd yr rheoleiddio'r safle / gweithredwr i sicrhau eu bod yn cydfurfio ag amodau eu trwyddedau. Ynghyd ag Asiantaeth yr Amgylchedd (EA) a'r Swydda Rheoleiddio Niwclear (ONR), yr ydym yn gyfrifîl am sicrhau bod unrhyw orafoedd ynni niwclear newydd sy'n cael eu hadeladu ynghyrru yn bodoli safonau uchel o ddigolwelch, diogelu'r amgylchedd a rheli gwastraf. Byddwn hefyd yn darparu cyngor arbenigol i nweithurwr penderfyniadau eraill megis Llywodraeth y DU a Chyrngor Sir Ynys Môn.
2. **Beth yw rôl Asiantaeth yr Amgylchedd?** Yr EA yw'r rheolydd amgylcheddol ar gyfer Lloegr. Bydd arbenigwyr niwclear yr EA yn darparu cymorth a chyngron NRW wrth benderfynnu ar gais trwydded RSR niwclear Horizon, yn unol â'r Cytundeb Lefel Gwasanaeth rhwng yr Asiantaeth yr Amgylchedd a CNC.
3. **Beth yw rôl y Swydda Rheoleiddio Niwclear?** Maer ONR yn rheoleiddio agweddu diogelwr gorsafoedd pwer niwclear. Mae'r ONR yn rhoi Trwyddedau Safle Niwclear i ganfatiab dtablygu a gweithredu gorsafoedd ynni niwclear. Cyn cyfuno ar adelaedu rhaidd iddynt fod yn fodlon am agweddu diogelwr dylluni, cynhyrchu, adelaedu, comisiynu, gweithredu, cynnal a chadwb datgomisiynu a rheli deunydd ymbelydrol ar y safle.
**Pa drwyddedau sy'n ofynnol, y broses drwyddedu ac amseriadau**
1. **Pa drwyddedau y bydd Horizon ei angen gan CNC i allu gweithredu gorsaf bwer niwclear?** Er mwyn gweithredu Gorsaf bwer niwclear, bydd Horizon angen trwyddedau amgylcheddol am allyniau ambybeldrol a rheli gwastraff ymbelydrol, generaduron wrth gefn a golyngiadau dwr oeri gan CNC.
www.naturalresourceswales.gov.uk \<page_number>Page 1 of 10\</page_number> <img>Cyfoeth Naturioi Cymru Natural Resources Wales logo</img>
Cyn gweithredu, bydd Horizon hefyd angen trwydded am ollyngiadau dŵr yn ystod y cyfnod adeladu arfaethedig a thrywdded morol i gwmpasu'r holl weithgareddau adeladu (ee torri, twnelu, carthu a gwaredu gwaddod morol) ar y mór.
Mae yna lawer o drwyddedau eraill y bydd Horizon eu hangen, yn arbenigg ar gyfer y cyfnod adeladu arfaethedig o waith. Mae'r prosesau cais ar gyfer y trwyddedau erail hyn, o gymhariaeth, yn llai cymhleth ac yn llai penodol i adeladu neu weithredu gorsaf bwer niwcleir. Mae enghreifftiau'n cynnwys: trwyddedau gweithgareddau perygll lliogyd, trwyddedau rhwyoaethau gwarchodedig Ewropeidda chaniatâd Safle o Ddiddordeb Gwyddonol Arbenig (SoDdGA).
2. Pa drwyddedau fydд Horizon angen gan sefydliadau eraill?
Bydd angan llawer o drwyddedau eraill gan Horizon gan sefydliadau eraill. Ar gyfer y prif safle, mae'r rhain yn cynnwys:
- Trwydded Safle Niwclear gan yr ONR a;
- Gorchymn Cianiad Datblygu (DCO) a archwiliwyd gan yr Arolgyiaeth Gynnunio (PINS) ac yn y pen draw, penderfynnod yr Ysgrifennddy Gwaladol dros yr Adran Busnes, Ynni a Strategaeth Ddiwyddanol (BEIS).
3. Beth sy'n digwydd unwaith mae Cain yn cael ei gyflwyno yn CNC? Unwaith y cyflwynwr cais rydym yn ei logio ar ein systemau ac yna'n gwirio bod ganddo ddigon o wybodaeth i ni ddechrau eiystyn. Os oes ganddo ddigon o wybodaeth a ddechrau, fe'i gwnawn 'wedïl' wneud yn briodol' ac maen'n ein galluogi ddechrau ar y broses 'benderfyniad'. Un o gamau pwysig cyntaf y broses benderfynu honno yw ymgyngyrhoiad cyhoeddus. Ar yr un pryd, byddwn hyfed yn cynnal ymgyngyrhoiadau sêylfdlladau megis ONR, Aisiantaeth Safonau Bwyd, Cyngor Ynys Môn, lechi Cyhoeddus Cymru a Dwr Cymru Welsh Water.
4. Pa feini prawf y bydd Horizon yn gorfon eu cwrrd e gael trwyddd? Bydd angan i'n fod yn foden bod cynigion Horizon yn cynnydis digon o ddulliau diogelu a amddfyn pobl â'r amglychedd yn undd a holl afonyon cyfreithiol, amglycheddol, techneglogol ac lechi cyfraith DU ac Ewrop.
Pe baem yn credu bod y cynigion yn fodhhaol, byddem yn ymgynghori ô'r cyhoedd yn gyntal ar benderfyniad draft. Pe na baem yn fodlon, byddem yn gwthrod y cais.
5. Pryd mae penderfyniad yn debygol o gael ei wneud ar y cais RSR niwcleir? Er nad rydym yn gorfon gwnued hynny, rydym yn anelu at allu rhannu ein barn ar y cais RSR niwcleir (naill ai penderfyniad draft neu wrthod) cyn i archwiliad PINS o'r cais DCO gau.
6. Pryd fydd Horizon yn cyflwyno'r ceisiadau am y trwyddedau araill?
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Disgwyllwn i Horizon gyflwyno ceisiadau am drwyddedau pellach unai ychydig cyn, neu ar yr un pryd, a'r DCO.
**Yr ymgynghoriad**
**1) Am beth mae'r ymgynghoriad?** Mae'r ymgynghoriad yn gyffyl bawb weld a rhoi sylwadau ar y cais a gawsom am drwydded RSR niwclear pwrasol newydd o dan Reoliadau Trwyddedu Amyglycheddol (Cymru a Lloegr) 2016 gan Horizon Nuclear Power Wylfa Limited. Rhaid inni benderfynu a ddydyl gwrt Hod y cais neu, os ydym yn ei roi, pa amodau y dyfyll eu cynnws yn y drwydded. Er mwyn hybsysu ein gwaith, croesawn sylwadau ar y cais.
Mae'r cais a dderbyniwyd gennym a'r ymgynghoriad yn mynd i afael â ymbelyddredd yn unig. Disgwylwn i'r ymgeisyydd gyflwyno ceisiadau pellach ar gyfer trwyddedau Rheoliadau Trwyddedu Amyglycheddol (Cymru a Lloegr) 2016 ar gyfer gollyngiadau dwr, gweithgarieddu hylsgi a gweithgarieddu adeliadu mewn da bryd. Byddwn yn ymgynghori ar y ceisiadau hynnny wrth iddynt gael eu derbyn.
**2) Ble gallaf weld y cais?** Gallwch weld y cais ar wefan Horizon drwy ddilyn y linc isod:
https://www.horizonnuclearpower.com/ein-safleoedd/wylfa-newydd/dogfennau
Mae'r cais hefyd ar gael i'w weld ynystod oriau swydda ferferol yn y lleoliadau canlynol:
Cyfoeth Naturiol Cymru, Maes Y Ffynnon, Penrhosgarneidd, Bangor, Gwynedd, LL57 2DW
Canolfan Fusnes Môn, Bryn Cefni, Llangefni, LL77 7XA
Cemaes Library, Longlascoed, Cemaes Bay, LL67 0NN
Swyddfa Safle Wylfa Newydd, Bae Cemaes, Ynys Môn, LL67 0AA
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Os ydych am weld y cais yn ein swyddfa ni (CNC), galwch ein Canolfan Gofal Cwsmeriaid o flaein llaw ar 0300 065 3000 er mwyn trenfu hynny os gwelwch yn dda.
**3) Pryd a ble mae'r digwyddiadau ymgynghori?** Bydd tri digwyddiad ymgynghori: Dydd Llun 20 Tachwedd 2017 2yh-7pm - Neuadd David Hughes, Cemaes, LL67 0LW Dydd Mawrth 21 Tachwedd 2017 2yh-7pm - Storiel, Bangor, LL57 1DT Dydd Mercher 22 Tachwedd 11yb – 4yh - Canolfan Ebeneser, Llangefni, LL77 7PN
**4) Sut ydw I'n rhol sylwadau ar y cais?** Er mwyn hysbysiu ein gwaith, dyllt gwneud unrhyw sylwadau, mewn perthynas â defnyddio a gwaredu ymbelyddred yn unig, yn ysgrifenedig erbyn 14 Ionawr 2018 i ni i'r cyfleyniad isod:
Tim Trwyddydu Diwydiant Rheoledig, Cyfoeth Naturiol Cymru, Maes y Ffynnon, Penrhosgarneidd, Bangor, Gwynedd, LL57 2DW
Neu drwy ebost i: <watermark>WyfiaNewydddConsultations@cyfoethnaturiolcymru.gov.uk</watermark>
**5) Pa fath o sylwadau y gallaf eu gwnedu?** Gall y materion y gallwn ystyried sylwadau annyt gynnws cymhwysedd yr ymgeisyd y gwrdd ag amodau trwydded, sut y caiff gwastraff ymbelydrol ei reoli, trefniadu samplu, a chwyro gwyboaeth yn y cais. Mae materion na allwn ystyried sylwadau annyt yn cynnwys Polisi Ymm'li Llywodraeth, diogelwch niwclear a diogelwch, a materion cynffonol. Am ragor o wybodaeth, gweler ein dogfen "Sut i Leisio eich Barn".
**6) Pryd fydd cyfnod ymgynghori yn dod i ben?** Bydd yr ymgynghoriad yn rhedeg am 10 wythnos o 6 Tachwedd 2017 a bydd yn dod i ben ar 14 Ionawr 2018.
**7) Sut y bydd fy sylwadau yn cael eu hystyried?** Byddwn yn ystyried yr holl sylwadau yn ein hasesiad penderfyniad o'r cais hwn lle mae materion a godir yn berthnasol i gyhoeddiad trwydded ar gyfer sylweddau ymbelydrol.
Rydym yn gwerthfawrogi bod y materion a godwyd gennych yn bwysig i chi, ond yn anffodus, yn allwn ystyried sylwadau yn ein hasesiad o'r cais hwn o dan Atodlen 23 Rheoliadau Trwyddydu Amgyfeddol (Cymru a Lloegr) 2016 os nad ydytyn yn berthnasol neu y tu allan i'n cyfrifoldebau.
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Fodd bynnag, bydd angen i Horizon Nuclear Power (Wylfa) Cyf wneud cais am drwyddedau amglycheddol eraill. Lle mae'r sylwadu a wneir yn berthnasol i gais arall a wnaed i CNC, byddwn yn ymdrechu i'w hystyried fel rhan o'r cais hwnnw. Pan fyddwn yn glir y bydd y sylwadau'n berthnasol i gorff statudol arall, byddwn yn ymdrechu i'w gwneud ar gael i'r corff hwnnw i'w hystyried.
Ar gyfer i cais hwn, byddwn yn cofnodi'r holl faterion perthnasol a godwyd yn ystod yr ymgynghoriad ynghyd â'n hymateb, yn Nogfen Penderfyniad Draft1 ddechrau.
Byddwn yn ymgynghori eto ar ein penderfyniad draft, os y byddwn yn gwneud un, cyn cyhoeddïr unrhyw ganlyniaid terfynol yn ym Gofen Digen Benderfyniad.
**Cynnwys y cais RSR niwclearn**
1. **Beth mae Horizon wedi'i gynnwys yn eu cais?** Mae Horizon wedi gwneud cais am drwydded i wneud golgyngiadau neu drosglwyddo gwastraff ymbelydrol o orsaf ynni niwclearn arfaethedig o'r enw Wylfa Newydd.
2. **Os y caniateir, beth tydd y drwydded RSR niwclearn yn caniatáu i Horizon ei wneud?** Bydd caniatáu trwydded amglycheddol yn gosod terfynau ac amodau lle y gall Horizon wneud gwarediadau a throsglwyddiadau gwastraff ymbelydrol o'r safle yn gyfreithlon.
Prif ofnidyad y drwydded yw bod maint y gwastraff ymbelydrol a gynhyrchir yn cael ei leihau trwy gymhwyso'r Technegau Gorau sydd ar Gaeil (BAT). Yn yr un modd, mae'n rhaid cymhwyso BAT a lleihau effaith unrhyw ollyngiadau ar bobl a'r amglychedd.
3. **Faint o adweithyddion mae Horizon yn cynllunio i adeladu ar yr orsaf bwer arfaethedig a faint o drydan y byddant yn ei gynhyrchu?** Mae Horizon yn cynllunio adeladu dau adweithydd "Advanced Boiling Water" (UK-BWR) y DU sy'n gallu cynhyrchu 2.7GW o drydan.
4. **Sut y bydd diogelwch yr adweithyddion yn cael ei broffi?** Mae'r ONR yn gyfrifol am oruchwilio diogelwch yr adweithyddion a'u gweithrediad. Mae'r cais hwn i CNC yn ymwneud â lleihau maint ac efeithiau gwastraff ymbelydrol a gynhyrchyd gan yr orsaf bwer weithreddi.
5. **Ym mha furl y bydd gwastraff ymbelydrol yn cael ei ryddhau o'r orsaf bwer?**
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Mae Horizon wedi gwnued cais i wneud gollyngiadau nwyol i'r atmosifer, gollyngiadau dyfrllwyd i'r môr ac i allu trosglwyddo gwastraff solid i gyfleusterau rheoledig i'w gwaredu.
6. Faint o wastraff ymbelydrol a gaiff ei ryddhau ac a fydd yn effeithio ar bobl a'r amgyldchedd? Mae Horizon wedi gwnued cais am y terfynau canlynol:
<table>
<tr>
<td>Gollyngiadau nwyol</td>
<td>Lefel (GBq/flwyddyn)</td>
</tr>
<tr>
<td>Tritium</td>
<td>2.1 e4</td>
</tr>
<tr>
<td>Carbon-14</td>
<td>3.5 e3</td>
</tr>
<tr>
<td>Argon-41</td>
<td>1.0 e4</td>
</tr>
<tr>
<td>Iodines</td>
<td>1.1 e0</td>
</tr>
<tr>
<td>Nobel gases</td>
<td>4.3 e2</td>
</tr>
</table>
<table>
<tr>
<td>Gollyngiadau hylifol</td>
<td>Lefel (GBq/flwyddyn)</td>
</tr>
<tr>
<td>Tritium</td>
<td>1.5 e3</td>
</tr>
</table>
Y Becquerel (Bq) yw gweithgaredd deunydd ymbelydrol lle mae un cnewyllyn yn dadgyfan soddi yr elliad.
Bydd amodau'r drwydded yn gyfyngedig i Horizon yn gyfreithiol. Disgwylwn fod BAT yn goligu y bydd gollyngiadau'n sylweddo i na'r cyfnygiadau yn y drwydded yn ymarferol. Fodd bynnag, mae arnom angen i'r gweithredwr amcangyrif yr effaith ar y boblogaeth a'r amgyldchedd fel pe baent yn cyflawni ar y terfyn ar gyfer cyfnod gweithredol llawn yr orasf bwer (60 mlynedd).
<table>
<tr>
<td>Cyfnygiadau</td>
<td>Dôs (milli-Sieverts)</td>
</tr>
<tr>
<td>Dôs cyhoeddus cyfartalog y DU o bob ffnynnell</td>
<td>2.7mSv¹</td>
</tr>
<tr>
<td>Y lefel dôs cyhoeddus o ffyonellau a wnaed gan ddyn</td>
<td>1mSv</td>
</tr>
<tr>
<td>Mae'r Llywodraeth helyd yn cyfyngu ar gyfleusterau newydd i sicrhau bod dosau yn</td>
<td>Llai na 0.3mSv</td>
</tr>
<tr>
<td>Does dim un safle e.e. nid yw Gorsafoedd Wylfa gyda'i gilydd yn awrain at twy nag</td>
<td>0.5mSv</td>
</tr>
</table>
¹ https://www.gov.uk/government/publications/ionising-radiation-dose-comparisons/ionising-radiation-dose-comparisons
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<table>
<tr>
<td>Mae Horizon wedi amcangyfrif na fyddai'r cyfnygiadu a wneir ar gyfer aelodau mwyaf agored y cyhoedd yn agored i fwy nag</td>
<td>0.04mSv</td>
</tr>
</table>
Mae Sievert (Sv) yn tesur o effeithiau iechyd lefelau isel o ymbelydredd ïoneiddio ar y corff dynol.
I'w gymharu, mae'r ffïgurau hyn o'r un ystod â bwyta banana $^{2,3}$ bob dydd $(0.0001,\\mathrm{mSv} / \\text{banana x365} = 0.036,\\mathrm{mSv/blywddyn})$ neu hanner y dos o hedfan draws-atllanwol $(0.08,\\mathrm{mSv})^1$.
Mae gorsafoedd pŵer fel yr ABWR wedi'u cynllunio gydag amddiffynfeydd haenog er mwyn lleihau faint o wastraff ymbelydrol y gallai fod angen ei waredu o dan amodau'r drwydded:
<sup>1</sup> http://www.bbc.co.uk/news/magazine-15288975 <sup>2</sup> http://www.ppe.gla.ac.uk/~protopop/teaching/NPP/P2-NPP.pdf
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Release: Releases of radioactivity to the environment is the last resort. Where possible, all necessary systems are used to dilute and remove radioactive waste stocks (GW dilution) to minimise the impact on the population and the environment.
Mitigation: Releases of gases, liquids to the environment is minimised by techniques such as gaseous hold-up systems, absorbers, filters, IX results, condensation and evaporation. The reactor vessel will concentrate and retain radioactive species into the solid waste route.
Shielding: Construction: The reactor and steam circuit is shielded to keep direct doses ALARP.
Circuit construction: The circuit is constructed to contain the source of radiation. Materials are chosen to minimise the production of radioactive activation products - reduce the production of radioactive sludge
Coolant: The coolant is light water. Use of reactivity control through the water steam balance may help prevent criticality shims that can give rise to further radioactive discharges
Fuel can: The fuel can serves as the primary containment for the radioactive waste.
Fission: The fission of U-235 results in the production of neutrons, gamma rays and highly radioactive fission products plus heat.
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<img>Circuits diagram showing different components:
- Fuel Can
- Coolant
- Fission
- Circuit
- Shielding
- Mitigation
- Release</img> \<page_number>Page 8 of 10\</page_number> <img>Cyfoeth Naturioi Cymeru Natural Resources Wales logo</img>
**7) Beth fydd yn digwydd i'r gwastraff ymbelydrol solet a gaiff ei greu?** Caif gwastraff ymbelydrol solid ei gategoreiddio gan ei gynnws ymbelyddred a bydd ei waredu yn dibynnau ei categori.
<table>
<tr>
<td>Mae'r categoriáu'n cynnwys:</td>
<td></td>
</tr>
<tr>
<td>Categori gwastraff</td>
<td>Meini prawf</td>
</tr>
<tr>
<td>Gwedillion tanwydd</td>
<td>Bydd yn dod yn wastraf ar y pwytw y mae wedi'i oeri yn ddigonol ar gyfer llwyth i'w waredu (ar ôl'r orasf ddod i ben) i'r cyfleuster gwaredu daearegol (GDF) fel gwastraff Lefel Uchel. Nid yw polisi'r Llywodraeth ar hyn o bryd yn ailbrosesu tanwydd yna, ac mae'n cais ddefnyddio'r ffordd cynhyrchion arllwysiad ar gyfer pecynnu i'w waredu.</td>
</tr>
<tr>
<td>Gwastraff lefel uchel (HLW)</td>
<td>Pwer thermol >25kW/m³ + >12GBq/t ñv and 4 GBq/t α, gwaredu i'r cyfleuster gwaredu daearegol (GDF)</td>
</tr>
<tr>
<td>Gwastraff lefel canolraddol (ILW)</td>
<td>Pwer thermol ≤25kW/m³ ≥12GBq/t ñv and ≤4 GBq/t α, gwaredu i'r cyfleuster gwaredu daearegol (GDF)</td>
</tr>
<tr>
<td>Gwastraff lefel isel (LLW)</td>
<td>≤12GBq/t ñv and ≤4 GBq/t α - yn bodloni'r meini prawf derbyn gwastraff ar gyfer y Cyfleuster Gwastraff Lefel Isel, Cumbria. Efaliai y bydd angen gwaredu LLW nad yw'n bodloni'r meini prawf têl gwastraff ILW yn y GDF</td>
</tr>
<tr>
<td>Gwastraff lefel isel iawn (VLLW) Allan</td>
<td>Mae VLLW yn ddigon isel o ran ymbelyddred i'w waredu i cyfleusterau tirlenwi VLLW a ganiateir yn briodol.</td>
</tr>
</table>
Mae'n cynnig y gallai gwastraff gael ei waredu.
**8) A wy'r cais ynystyredd dadgomisiynu?**
Ddeddfwyd gan y Llywodraeth yn Neddf Ynni 2008 (Y Ddeddf Ynni) i sicrhau y bydd gan Weithredwr y Gorsafoeddynn ynniw clear newddydd drefniedau ariannu diogel ar wailh i dalu costau llawn dadgomisiynu a'u cyfaran lwn o gastau rheoli a gwaredu gwastraff. O dan y Ddeddf Ynni, mae'n ofynnol i Weithredwr y Gorsafoedd pŵer niwclear newddydd gael Rhaglen Ddatgomisiynydd wedi'Ariannu (FDP) a gymeredwydd gan yr Ysgrifrinnydd Gwaladol ar gyfer Ynni Busnes a Strategaeth Diwdydiannol (Ysgrifrinnydd Gwaladol) yn ei le cyn adeiladu gorsaf bwer niwclear newddydd, ac i gdydymfurio â'r FDP hwn wedi hynny4. Nid yw'n cynllun dadgomisiynu a ariennir yn rhan o'r cais hwn ond mae gefniodyn cin dechrau adeiladu Gorsafoedd pŵer.
4 https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/42628/3797-guidance-funded-decommissioning-programme-consult.pdf
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Mae cais Horizon o dan Reoliadu Trwydded Amgycheddol (Cymru a Lloegr) 2016 ar gyfer trwydded ar gyfer gollyngiadau gweithredol. Yn ystod y cyfnod gweithredol (60 mlynedd) byddwn yn cadwr amodau a'r terfynau o fewn y drwydded yn cael eu hadolygu'n rheolaidd - bob 5 mlynedd fel arfer ond efalai'n gynt yn dibynnau ar berfformiad gweithredol. Mae'r newid o weithgareddau gweithredol i ddadgomsiynu yn newid allweddol a fydd yn sbarduno dim ond adolygiad o'r fath.
**Cwestiynau eraill**
**1) Sut mae'r cais am drwydded RSR niwclear yn cyd-fynd â GDA?** Maer broses Asesu Dylunio Generig (GDA) yn galluogi'r rheoleiddwr (ONR ac EA yn gwneithio ddyr NWI) i gymryd rhan ar y cam cynharaf lle gallant gael y dylanwad mwyafr gan aesus agweddu amgycheddol. Diogelwch a diogelwch ar gynlluniaru adweithydd cyn adelaidu'r adweithydd yn dechrau. Mae'r rheoleiddwr yn rhoi cyngor i'r dylunwyr am unrhyw problemau yr ydym yn eu nodi fel y gelir mynd i'r afael a'r rahan yny stod ym cem dylunio.
Mae'r broses GDA wedi' seilio ar safle gyffredinol. Wrth ystyried y cais am drwydded niwclear ar gyfer gweithredu gorsafoedd pŵer niwclear newydd yn Wylfa, bydd CNC yn ystyried y cynigion hynny yn ofalus ac, gan ystyried y gwraith a wnaethom ar GDA, (boed wedi' gwblhau ai peidio), wrth benderfynu a yw'r cynigion yn dderbynniol.
**2) Pryd y bydd adelaidu'r orsaf bwer yn dechrau a pha mor hir y bydd yn cymaryd?** Ni all Horizon ddechrau adelaidu'r orsaf bwer ar ôl i'r caniatâd perthnasol gael ei ganiaitâu. O fewn ymgynghoriad Cam 3 Cyn-gais Horizon (Mai 2017), maent yn nodi eu rhaglen ddangsolol o ddechrau Gwaith Paratoi Safleodd a Chlirio yn 2018 a swmp o'r gwraith daear yn 2019.
**3) Lle y bydd yr orsaf bwer newydd yn union?** Mae Horizon yn cyllunio i adelaidu'r Orsaf Bwer i'r gorllewin o bentsref Cemaes ac i'r de o'r orsaf bwer Magnox bresennol ar arfordir gogleddol Ynys Môn yng Ngogledd Cymru.
**4) Beth yw bywyd gweithredol tebygol yr orsaf bwer?** Mae Horizon yn disgwyll y bydd bywyd gweithredol pob adweithydd yn 60 mlynedd
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<img>Ministry of Justice logo</img> <img>NATIONAL STATISTICS logo</img>
# Criminal court statistics quarterly, England and Wales
January to March 2016
## Ministry of Justice
## Statistics bulletin
Published 30 June 2016 Contents
Contents 1 Introduction 2 Changes and revisions in this publication 4 Key Findings 6 Criminal Courts 7
1. Criminal cases in the magistrates’ courts 7
2. Criminal cases in the Crown Court 9
3. Timeliness 16 Annex A: Enforcement of financial impositions 19 Annex B: Legal representation in the Crown Court (experimental statistics) 22 Annex C: Juror Statistics 22 Annex D: Election of the defendant (experimental statistics) 23 Annex E: List of Accompanying Tables and CSV 24 Annex F: Explanatory notes 27 Previous editions 28 Contacts 28 Introduction
The statistical bulletin
This publication presents statistics relating to activity in criminal cases in magistrates’ courts and the Crown Court in England and Wales. It provides provisional figures for the latest quarter (January to March 2016), and annual figures for 2015 with accompanying commentary and analysis. The figures themselves give a summary overview of the volume of cases dealt with by these courts over time. The statistics are used to monitor court workloads, to assist in the development of policy, and their subsequent monitoring and evaluation.
Information on the enforcement of financial impositions can be found in Annex A. Figures on the criminal courts charge, which was introduced on 13 April 2015 and ceased on 24 December 2015, are separately identified within the publication. The annex provides updated management information on the collection of financial impositions through Her Majesty’s Courts and Tribunals Service (HMCTS).
Annex B presents experimental statistics on legal representation of defendants at the Crown Court. Management information on juror summons and the juror utilisation rate for 2015 can be found in Annex C. Experimental statistics splitting defendants dealt with in Crown Court trials by election type (direction of magistrates or by election by defendant) are available for the first time in Annex D.
Criminal Courts; an overview
Magistrates’ courts
Virtually all criminal court cases start in the magistrates’ courts. The less serious offences are handled entirely in magistrates’ courts, with over 90% of all cases being dealt with in this way. The more serious offences are passed on to the Crown Court, either for sentencing after the defendant has been found guilty in the magistrates’ court, or for trial with a judge and jury.
As part of wider measures in the justice system, committal hearings were abolished nationally¹ at the end of May 2013. As a result of the change, triable-either-way cases can now be sent straight to the Crown Court as soon as it is clear the matter is serious enough, rather than having to await a committal hearing.
______________________________________________________________________
¹ www.gov.uk/government/news/faster-justice-as-unneccessary-committal-hearings-are-abolished
\<page_number>2\</page_number> The Crown Court
The Crown Court deals with cases received from the magistrates’ courts for sentencing, trial or appeal against magistrates’ courts’ decision.
Of those proceeded against in the magistrates’ courts, 6% of defendants go on to the Crown Court for trial.
Triable-either-way cases can be sent to the Crown Court for trial if the magistrates’ courts decide the matter is serious enough or if a defendant elects to be tried by judge and jury.
Indictable only cases can only be tried on indictment in the Crown Court as they cannot be heard summarily at the magistrates’ courts.
Committed for sentence cases are transferred to the Crown Court for sentencing only after a defendant has been convicted in a magistrates’ court. This would occur where a magistrate believes that their sentencing powers are insufficient to apply an appropriate sanction to the defendant.
In its appellate jurisdiction the Crown Court deals mainly with appeals against conviction and/or sentence in respect of criminal offences, including consequential orders, e.g. disqualification from driving, and against the making of certain standalone orders, e.g. Anti-Social Behaviour Orders. The Crown Court may dismiss or allow the appeal and vary all or any part of the sentence. Appeals are usually heard by a Circuit Judge sitting with no more than four lay magistrates (normally two).
Average waiting time at the Crown Court
‘Average waiting time’ is the time between sending a case to the Crown Court and the start of the substantive hearing.
Average hearing time at the Crown Court
The ‘average hearing time’ relates to the average duration of all hearings heard in the Crown Court, including preliminary hearings, main hearings, and hearings where a sentence is given to a defendant.
Data and court processes
Information about the systems and data included in this publication can be found in the ‘A guide to criminal court statistics’ which is published alongside this report. It also includes a glossary which provides brief definitions for the terms used in this report.
www.gov.uk/government/publications/a-guide-to-criminal-court-statistics
\<page_number>3\</page_number> Changes and revisions in this publication
**Revisions to Crown Court and representation tables**
Methodological improvements have been made to the collation process for these statistics, such as removing a small number of duplicate records. There have therefore been minor revisions to 2014 figures in the annual Crown Court tables AC2, AC6-AC8 and legal representation tables B1-B3, and to 2010 and 2011 figures in all Crown Court tables.
**Release of annual criminal court statistics quarterly tables**
Annual tables for magistrates’ courts and the Crown Court, including tabulated breakdowns by region, have been published as typical for each year. Figures for 2015 have been revised accordingly across tables. See Annex E for a full list of tables released.
Annual tables on legal representation in the Crown Court (Tables B1-B3) and juror statistics (Tables J1-J2) are also included, with commentary included in Annex B and Annex C for each respective area.
**First release of Crown Court receipts, disposals and outstanding tables by offence group (experimental statistics)**
The Crown Court table C1 is now available split by twelve offence groups (also used within the timeliness table T6). These cases have been categorised according to the latest Home Office offence classification. Separate tables C1a, C1b and C1c have been produced for receipts, disposals and outstanding cases, respectively, with commentary included in the ‘Criminal cases in the Crown Court’ section of this bulletin. The statistics are badged as “experimental statistics” and do not display the National Statistics logo, as data are still being evaluated and remain subject to further testing in terms of their reliability and ability to meet customer needs.
**First release of statistics on Crown Court trials by election type (experimental statistics)**
As part of the annual tables, the publication includes for the first time the number of defendants dealt with in triable-either-way trial cases at the Crown Court split by those who were sent on the direction of a magistrate and those where the defendant elected to be sent to the Crown Court. The statistics are badged as “experimental statistics” and do not display the National Statistics logo, as data are still being evaluated and remain subject to further testing in terms of their reliability and ability to meet customer needs. The statistics can be found in Table D1, and commentary included in Annex D.
\<page_number>4\</page_number> **Transparency and timeliness files**
Due to some LCJB, LJA and court names changing over time, some local areas have been adjusted to reflect the most recent name change. This enables consistency over quarters and easier comparison between LCJB, LJA or court across time.
**Future changes to timeliness methodology**
Following a consultation in early 2015, a proposal was agreed to make changes to the timeliness methodology within this publication, for example removing the ten year threshold from the validation scripts applied to published estimates. We previously announced our intention to implement the changes for the start of 2016/17 reporting period. As such, the changes are planned to be implemented in the next publication in this series, scheduled for release on 29 September 2016 covering the period April to June 2016.
\<page_number>5\</page_number> Key Findings
This report presents statistics relating to activity in criminal cases in the magistrates’ courts and the Crown Court in England and Wales in the first quarter of 2016 (January to March).
- The decrease in receipts and increase in disposals in magistrates’ courts in the latest quarter resulted in the outstanding magistrates’ court caseload dropping to 304,300 at the end of Q1 2016, the lowest figure since Q1 2014.
- Outstanding cases in the Crown Court have been gradually decreasing since Q4 2014. Between Q4 2014 and Q1 2016 they declined by 16% to 46,500 cases. This decline reflects the number of disposals being greater than the number of receipts for the last 5 quarters.
- The average time from receipt by the Crown Court to main hearing and main hearing to completion increased between Q3 2013 and Q2 2015, driving the overall increase in the number of days from first listing to completion across this period. More recently, there has been a decrease in the average number of days from receipt by the Crown Court to completion – from 199 days in Q2 2015 to 177 days in Q1 2016.
- From Q1 2011, average hearing times for not guilty plea trials slowly increased to 14.9 hours in Q4 2013. Since then, hearing times have fluctuated between 12.5 and 15 hours with a peak of 15.4 hours in Q1 2016.
\<page_number>6\</page_number> Criminal Courts
At the first quarter of 2016, there were around 240 magistrates’ courts and approximately 80 Crown Court locations across England and Wales.
**1. Criminal cases in the magistrates’ courts**
Figure 1 below shows the magistrates’ courts caseload for England and Wales.
**Figure 1: Magistrates’ courts caseload, Q2 2012 to Q1 2016**
<img>A line graph showing the number of cases in the magistrates' courts over time. The x-axis represents quarters (Q2 2012, Q3 2012, Q4 2012, Q1 2013, Q2 2013, Q3 2013, Q4 2013, Q1 2014, Q2 2014, Q3 2014, Q4 2014, Q1 2015, Q2 2015, Q3 2015, Q4 2015, Q1 2016) and the y-axis represents the number of cases (from 50,000 to 450,000). There are three lines representing receipts (blue), disposals (dark blue), and outstanding cases (light blue). The receipts line starts at around 375,000 in Q2 2012 and fluctuates slightly throughout the period. The disposals line starts at around 375,000 in Q2 2012 and fluctuates slightly throughout the period. The outstanding cases line starts at around 375,000 in Q2 2012 and fluctuates slightly throughout the period.</img>
Receipts in the magistrates’ courts (figure 1)
Receipts throughout 2012 and going into Q1 2013 were stable, but fell by 4% at Q2 2013. This was followed with a 7% rise between Q2 2013 and Q1 2014, after which they remained stable at around 400,000 a quarter until Q1 2015. More recently, the number of receipts fluctuated throughout 2015, with a decline of 4% between Q4 2015 and Q1 2016.
Disposals (figure 1)
Following a dip in disposals across 2013 to 378,200 in Q4 2013, disposals have fluctuated but gradually increased since then, with an overall rise by 9% between Q4 2013 and Q1 2016. There were 412,400 disposals in Q1 2016, a quarterly peak since 2012.
\<page_number>7\</page_number> Outstanding cases (figure 1)
The number of outstanding cases fell between 2012 and Q3 2013 – over a period when quarterly disposals were greater than receipts – down to 281,600 cases at the end of Q3 2013. Outstanding caseload then rose to 328,300 at the end of Q1 2015, followed by quarterly fluctuation up to the end of 2015. The decrease in receipts and increase in disposals in the latest quarter resulted in the outstanding caseload dropping to 304,300 at the end of Q1 2016, the lowest figure since Q1 2014.
Annual table: effectiveness of magistrates’ courts trials by region (figure 2)
In comparison to the other regions within England and Wales, London had the largest proportion of effective trials in 2015 (55%). It also had the lowest proportion of cracked trials (30%).
In contrast, the North East had the lowest proportion of effective trials (40%) whilst Wales and the North East had the highest percentage of cracked trials (43%).
The South East had the greatest percentage of ineffective trials (18%) whereas Wales had the lowest (7%).
Figure 2: Effectiveness of magistrates’ courts’ trials in England and Wales by region, 2015
<img>
A bar chart showing the effectiveness of magistrates' courts' trials in England and Wales by region in 2015.
The x-axis represents different regions: Wales, South West, South East, North West, North East, Midlands, London.
The y-axis represents percentages from 0% to 100%.
Legend:
- Effective trials
- Cracked trials
- Ineffective trials
</img>
Region Wales South West South East North West North East Midlands London
Effective trials Cracked trials Ineffective trials
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
\<page_number>8\</page_number> **2. Criminal cases in the Crown Court**
Figure 3 below shows the annual Crown Court caseload from 2000 to 2015, whilst figure 4 shows the quarterly Crown Court caseload from Q1 2010 to Q1 2016.
**Annual trends in the Crown Court from 2000 to 2015 (figure 3)**
**Figure 3: Crown Court annual caseload, 2000 to 2015**
<img>A line graph showing the number of cases over time. The x-axis represents years from 2000 to 2015. The y-axis represents the number of cases, ranging from 0 to 180,000. There are three lines: Receipts (blue), Disposals (green), and Cases outstanding at end of year (dark blue). Receipts show a general increase from around 30,000 in 2000 to around 45,000 in 2015. Disposals show a slight decrease from around 115,000 in 2000 to around 112,500 in 2015. Cases outstanding at end of year show a general increase from around 75,000 in 2000 to around 135,000 in 2015.</img>
**Receipts**
Overall, receipts rose by 36% from 2000 to a peak of 152,800 in 2010. The level then decreased by 13% between 2010 and 2012. This was followed by a smaller increase of 5% to 2013. The number of receipts then fell from 2013 to 2015, with the receipt level at 2015 being the lowest since 2006 at 130,000 cases.
**Disposals**
Following a similar pattern to receipts, there was an overall rise by 32% between 2000 and 2010. Between 2010 and 2012, disposals decreased by 10%. They were fairly stable between 2013 and 2014, but then increased in 2015. Disposals were higher than receipts in 2015 for the first time since 2012.
**Outstanding cases**
Between 2000 and 2009, there was a 53% rise in outstanding cases. Following a decrease in outstanding cases between 2010 and 2012, cases subsequently rose between 2012 and 2014, but decreased again by 8% from 2014 to 2015. This decline reflects the number of disposals being higher than receipts over this period. Since 2010, there has been an overall increase of 8% in outstanding cases to 2015.
\<page_number>9\</page_number> Recent quarterly trends (figure 4)
Figure 4: Crown Court caseload, Q1 2010 to Q1 2016
<img>
A line graph showing the number of cases over time.
The x-axis shows quarters from Q1 2010 to Q1 2016.
The y-axis shows the number of cases, ranging from 0 to 60,000.
There are three lines:
- Receipts (light blue)
- Disposals (dark blue)
- Cases outstanding at end of quarter (blue)
</img>
Receipts
Receipts in Q1 2016 were 8% lower than in Q4 2015, and 12% lower than the first quarter of 2015. This figure of 29,800 was the lowest of the quarterly time series (since 2010).
Disposals
Disposals at Q1 2016 were the highest since the first quarter of 2015, and had increased by 2% from Q4 2015.
Outstanding cases
Outstanding cases have been decreasing since Q4 2014. Between Q4 2014 and Q1 2016 they declined by 16% to 46,500 cases.
\<page_number>10\</page_number> **Receipts by case type** (figure 5)
Triable-either-way and indictable only (IO) cases drive the overall trend in receipts. Following a decline of 32% in triable-either-way receipts between Q1 2010 and Q1 2013, the level of receipts rose between Q1 to Q3 2013 and then remained relatively stable until Q2 2015. Receipts decreased through 2015 and into Q1 2016.
Since the peak in IO receipts in Q2 2013, there have been an overall downward trend over the subsequent two years, with a 24% decline from Q2 2013 to Q1 2016.
Cases committed for sentence have declined by 30% between the peak in Q3 2011 and Q1 2016, and appeals have declined by 30% since Q1 2010.
**Figure 5:** Crown Court receipts by case type, Q1 2010 to Q1 2016
<img>
A line graph showing Crown Court receipts by case type, Q1 2010 to Q1 2016.
The x-axis shows quarters: Q1, Q2, Q3, Q4 for each year from 2010 to 2016.
The y-axis shows number of receipts on a scale from 0 to 18,000.
There are four lines:
- For trial (Triable-either-way): Dark blue line.
- For trial (Indictable Only): Light blue line.
- Committed for sentence: Blue line.
- Appeals against mag's decisions: Purple line.
</img>
**Disposals by case type** (figure 6)
Between Q1 2010 and Q1 2013, disposals in triable-either-way cases decreased by 28%. They then rose from Q2 2013, resulting in triable-either-way disposals being higher than receipts across 2015 and into Q1 2016.
The overall number of indictable only disposals was been broadly stable between Q1 2013 and Q1 2015, at around 8,300. They have since declined to Q3 2015 and risen again, up to 8,100 in Q1 2016.
Committed for sentence cases and appeals have also declined, by 17% and 18% respectively between Q1 2010 and Q4 2015. Committed for sentence cases show a
\<page_number>11\</page_number> 2% rise between Q4 2015 and Q1 2016, whereas appeals show an 8% decline in the same period.
**Figure 6: Crown Court disposals by case type, Q1 2010 to Q1 2016**
<img>
A line graph showing Crown Court disposals by case type over time.
The x-axis shows quarters (Q1, Q2, Q3, Q4) for years 2010 to 2016.
The y-axis shows the number of disposals, ranging from 0 to 18,000.
There are three lines:
- For trial (Triable-either-way): Dark blue line.
- Committed for sentence: Light blue line.
- Appeals against mags' decisions: Blue line with a star symbol.
</img>
**Outstanding cases by case type (figure 7)**
The trend in triable-either-way outstanding cases drives the trend in the overall number of outstanding cases. Following a 30% decrease between Q1 2010 and Q1 2013, cases increased substantially, by 76%, between Q1 2013 and Q1 2015. This was followed by a declining trend thereafter, with a 20% decrease between Q1 2015 to Q1 2016, over the period that disposals for triable-either-way cases have been greater than receipts.
Indictable only cases also followed this pattern but to a lesser magnitude, decreasing by 6% between Q1 2010 and Q1 2013 and then increasing by 15% to Q1 2015. There was then a decrease by 12% between Q1 2015 and Q1 2016. Committed for sentence cases and appeals have remained relatively stable across time.
\<page_number>12\</page_number> Figure 7: Crown Court outstanding cases by type, Q1 2010 to Q1 2016
<img>
A line graph showing the number of outstanding cases over time.
The x-axis shows years: 2010, 2011, 2012, 2013, 2014, 2015, 2016.
The y-axis shows the number of outstanding cases, ranging from 0 to 35,000.
There are four lines representing different types of cases:
- For trial (Triable-either-way): Dark blue line.
- For trial (Indictable Only): Light blue line.
- Committed for sentence: Light blue line with a wavy pattern.
- Appeals against magistrates' decisions: Blue line with a wavy pattern.
Legend: For trial (Triable-either-way) - Dark blue line For trial (Indictable Only) - Light blue line Committed for sentence - Light blue line with a wavy pattern Appeals against magistrates' decisions - Blue line with a wavy pattern
Data points: Q1 2010: Around 25,000 Q2 2010: Around 25,000 Q3 2010: Around 25,000 Q4 2010: Around 25,000 Q1 2011: Around 25,000 Q2 2011: Around 25,000 Q3 2011: Around 25,000 Q4 2011: Around 25,000 Q1 2012: Around 25,000 Q2 2012: Around 25,000 Q3 2012: Around 25,000 Q4 2012: Around 25,000 Q1 2013: Around 35,000 Q2 2013: Around 35,000 Q3 2013: Around 35,000 Q4 2013: Around 35,000 Q1 2014: Around 35,000 Q2 2014: Around 35,000 Q3 2014: Around 35,000 Q4 2014: Around 35,000 Q1 2015: Around 35,000 Q2 2015: Around 35,000 Q3 2015: Around 35,000 Q4 2015: Around 35,000 Q1 2016: Around 35,000
Legend: For trial (Triable-either-way) - Dark blue line For trial (Indictable Only) - Light blue line with a wavy pattern Committed for sentence - Light blue line with a wavy pattern Appeals against magistrates' decisions - Blue line with a wavy pattern
</img>
Receipts, disposals and outstanding cases by offence group (experimental statistics) (figure 8)
Figure 8: Receipts, disposals and outstanding cases by offence group, Q1 2o16
<img>
A bar chart showing receipts, disposals and outstanding cases by offence group at the end of quarter.
The x-axis shows offence groups:
Violence against the person
Sexual offences
Robbery
Theft Offences
Criminal damage and arson
Drug offences
Possession of weapons
Public order offences
Miscellaneous crimes against society
Fraud Offences
Summary Non-Motoring
Unknown
The y-axis shows the number of cases. The bars represent: Receipts - Black bars. Disposals - Grey bars. Outstanding cases at end of quarter - Blue bars.
Data points: Violence against the person: Receipts around 9,999; Disposals around 4,999; Outstanding cases around 4,999.
Sexual offences: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Robbery: Receipts around 6,667; Disposals around 6,667; Outstanding cases around 6,667.
Theft Offences: Receipts around 6,667; Disposals around 6,667; Outstanding cases around 6,667.
Criminal damage and arson: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Drug offences: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Possession of weapons: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Public order offences: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Miscellaneous crimes against society: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Fraud Offences: Receipts around 4,999; Disposals around 4,999; Outstanding cases around 4,999.
Summary Non-Motoring: Receipts around zero; Disposals around zero; Outstanding cases around zero.
Unknown: Receipts around zero; Disposals around zero; Outstanding cases around zero.
Legend: Receipts - Black bars. Disposals - Grey bars. Outstanding cases at end of quarter - Blue bars. </img>
\<page_number>13\</page_number> In Q1 2016, violence against the person had the highest volume of receipts and disposals, followed by miscellaneous crimes, drug offences and theft.
Outstanding cases followed a different pattern. Violence against the person had the highest amount of cases, followed by sexual offences and miscellaneous offences. There may have been a greater number of sexual offence cases outstanding due to the length of time these cases take to complete in comparison to other offence groups.
**Annual tables: Crown Court caseload by region** (figures 9, 10 & 11)
Several of the annual tables cover regional breakdowns of Crown Court caseload in England and Wales for 2015.
In 2015, London had the highest volume of receipts, disposals and outstanding cases, due to the population of the region. Triable-either-way and indictable trials accounted for the highest proportion of caseload when compared to the other regions (71% receipts, 72% disposals, 87% outstanding).
Wales had the lowest volume of receipts, disposals and outstanding cases, and the lowest proportion of trial outstanding cases of the regions, alongside the South West (82%). The South West had the lowest proportion of trial receipts (63%), and also the lowest proportion of disposals, equal to the North East (66%).
**Figure 9: Proportion of receipts by region, 2015**
<img>
A bar chart showing the proportion of receipts by region in 2015.
The x-axis shows regions: Wales, South West, South East, North West, North East, Midlands, London.
The y-axis shows percentages from 0% to 100% in increments of 10%.
Legend:
- TEW and IO
- Committed for sentence
- Appeals
Data points:
- Wales: TEW and IO ~30%, Committed for sentence ~70%, Appeals ~10%
- South West: TEW and IO ~40%, Committed for sentence ~60%, Appeals ~10%
- South East: TEW and IO ~50%, Committed for sentence ~50%, Appeals ~0%
- North West: TEW and IO ~60%, Committed for sentence ~40%, Appeals ~0%
- North East: TEW and IO ~70%, Committed for sentence ~30%, Appeals ~0%
- Midlands: TEW and IO ~80%, Committed for sentence ~20%, Appeals ~0%
- London: TEW and IO ~90%, Committed for sentence ~10%, Appeals ~0%
Legend:
- TEW and IO
- Committed for sentence
- Appeals </img>
\<page_number>14\</page_number> Figure 10: Proportion of disposals by region, 2015
<img>
A bar chart showing the proportion of disposals by region in 2015.
The x-axis represents regions: Wales, South West, South East, North West, North East, Midlands, London.
The y-axis represents percentages from 0% to 100% in increments of 10%.
Legend:
- TEW and IO (dark blue)
- Committed for sentence (light blue)
- Appeals (light grey)
</img>
Figure 11: Proportion of outstanding cases by region, 2015
<img>
A bar chart showing the proportion of outstanding cases by region in 2015.
The x-axis represents regions: Wales, South West, South East, North West, North East, Midlands, London.
The y-axis represents percentages from 0% to 100% in increments of 10%.
Legend:
- TEW and IO (dark blue)
- Committed for sentence (light blue)
- Appeals (light grey)
</img>
**3. Timeliness**
**Offence to completion in the magistrates’ courts**
For cases in the magistrates’ courts, the (mean) average number of days from offence to completion increased by 7 days between Q1 2013 and Q4 2015, a 5% rise. Despite remaining at 158 days in both Q3 2015 and Q4 2015, the average increased by a further 5 days to 163 days in Q1 2016.
**Crown Court criminal cases - First listing in the magistrates’ courts to completion in the Crown Court (figure 12)**
For cases completing at the Crown Court, the average number of days from first listing to completion increased from 152 to 204 days between Q3 2013 and Q2 2015, followed by a decrease to 183 days in Q1 2016.
The average time from first listing at the magistrates’ court to receipt by the Crown Court fell from 26 days in Q1 2013 to 6 days in Q3 2015, and remained at 6 days into Q1 2016.
The average time from receipt by the Crown Court to main hearing and main hearing to completion, however, increased between Q3 2013 and Q2 2015, driving the overall increase in the number of days from first listing to completion across the period. More recently, there has been a decrease in the average number of days from receipt by the Crown Court to completion – from 199 days in Q2 2015 to 177 days in Q1 2016.
**Figure 12: Average number of days (mean) from first listing in the magistrates’ courts to completion in the Crown Court, for Crown Court criminal cases, Q2 2010 to Q1 2016**
<img>
A bar chart showing the average number of days (mean) from first listing in the magistrates' courts to completion in the Crown Court, for Crown Court criminal cases, Q2 2010 to Q1 2016.
The x-axis shows years: Q2, Q3, Q4 for each year from 2010 to 2016.
The y-axis shows the average number of days (mean), ranging from 0 to 250.
There are two sets of bars:
- The left set represents "First listing at MC to receipt in CC" (represented by blue bars).
- The right set represents "Receipt by CC to main hearing" (represented by light blue bars).
</img>
■ First listing at MC to receipt in CC ■ Receipt by CC to main hearing ■ Main hearing to completion at CC
\<page_number>16\</page_number> Annual table: Breakdown of average number of days from offence to completion for criminal cases by region (figure 13)
In England and Wales at 2015, the South East had the longest mean time spent from offence to completion at 180 days. The North East had the shortest timeliness of 154 days, which was partially influenced by having the shortest ‘offence to charge’ stage of the regions (92 days).
Wales had the greatest amount of time spent at ‘offence to charge’ (102 days), but the shortest time from ‘first listing to completion’ (17 days).
Figure 13: Proportion of average number of days taken from offence to completion for criminal cases in England and Wales, 2015
<img>
A stacked bar chart showing the proportion of average number of days taken from offence to completion for criminal cases in England and Wales, 2015.
The x-axis shows regions: London, Midlands, North East, North West, South East, South West, Wales.
The y-axis shows Mean time (days) ranging from 0 to 200.
Legend:
- First listing to completion
- Charge or laying of information to first listing
- Offence to charge or laying of information
Data points:
- London: First listing to completion ~60%, Charge or laying of information to first listing ~30%, Offence to charge or laying of information ~10%
- Midlands: First listing to completion ~65%, Charge or laying of information to first listing ~30%, Offence to charge or laying of information ~5%
- North East: First listing to completion ~75%, Charge or laying of information to first listing ~20%, Offence to charge or laying of information ~5%
- North West: First listing to completion ~70%, Charge or laying of information to first listing ~25%, Offence to charge or laying of information ~5%
- South East: First listing to completion ~70%, Charge or laying of information to first listing ~25%, Offence to charge or laying of information ~5%
- South West: First listing to completion ~65%, Charge or laying of information to first listing ~30%, Offence to charge or laying of information ~5%
- Wales: First listing to completion ~60%, Charge or laying of information to first listing ~35%, Offence to charge or laying of information ~5%
</img>
Average waiting times at the Crown Court (figure 14)
Average waiting times for all trial cases increased between 2013 and 2015. Waiting times for triable-either-way cases increased by 6 weeks and indictable only cases by 4.1 weeks between Q4 2013 and Q4 2015. For non-trial cases waiting times have remained fairly steady over the same period with an overall increase of 0.2 weeks for committed for sentence cases and 1.1 weeks for appeals.
In Q1 2016 the waiting times for trial cases fell by 0.7 weeks in triable-either-way cases and 1.4 weeks in indictable only cases, from Q4 2015. The waiting times in non-trial cases increased by 0.2 weeks for cases committed for sentence and 0.4 weeks for appeal cases.
\<page_number>17\</page_number> Figure 14: Average waiting time (weeks) at the Crown Court, Q1 2010 to Q1 2016
<img>
A line graph showing average waiting time (weeks) at the Crown Court over time.
The x-axis shows years: Q1 2010, 2011, 2012, 2013, 2014, 2015, 2016.
The y-axis shows average waiting time (weeks) ranging from 0 to 24 weeks.
There are three lines:
- For trial (Triable-either-way): Dark blue line.
- Committed for sentence: Light blue line.
- For trial (Indictable Only): Light grey line.
- Appeal: Blue line.
Legend: For trial (Triable-either-way) Committed for sentence For trial (Indictable Only) Appeal
Data points: Q1 2010: For trial (Triable-either-way) ~18 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q2 2010: For trial (Triable-either-way) ~17 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q3 2010: For trial (Triable-either-way) ~17 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q4 2010: For trial (Triable-either-way) ~18 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q1 2011: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q2 2011: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q3 2011: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q4 2011: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q1 2012: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q2 2012: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q3 2012: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q4 2012: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q1 2013: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q2 2013: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q3 2013: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q4 2013: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q1 2014: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q2 2014: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q3 2014: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q4 2014: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q1 2015: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q2 2015: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q3 2015: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q4 2015: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks. Q1 2016: For trial (Triable-either-way) ~15 weeks, Committed for sentence ~6 weeks, For trial (Indictable Only) ~9 weeks, Appeal ~9 weeks.
Average waiting time at the Crown Court
Average hearing times at the Crown Court (figure 15)
From QI 2011, average hearing times for not guilty plea trials slowly increased to \\textbf{average} \\textit{hearing times} \\textbf{(hours)} \\textit{at the Crown Court}, \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\textit{to} \\textbf{QI} \\begin{textbox}{Average hearing time hours} \\begin{textbox}{Not Guilty plea trials} \\begin{textbox}{Guilty plea trials} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{textbox} \\end{"="" alt="Average waiting time at the Crown Court">Average waiting time at the Crown Court</alt> \<page_number>Figure 4\</page_number>
From QI 2013 to QI 2014 hearing times have fluctuated between approximately \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_number>Figure 4\</page_number> \<page_numer Annex A: Enforcement of financial impositions
The following section provides updated management information on the collection of financial impositions through Her Majesty's Courts and Tribunals Service (HMCTS). Figures on criminal courts charge are shown separately in this bulletin but following the announcement by the Secretary of State for Justice on 3 December this charge ceased to exist on 24 December 2015. Impositions made in this time period are reported, and payment information will continue to be recorded.
Financial impositions are ordered by the criminal courts for payment by offenders at sentencing and include financial penalties such as fines, prosecutors' costs, compensation orders and victim surcharge. Financial penalties are the most commonly used sentence and form a significant part of HMCTS' collection and enforcement business. Accounting centres also enforce penalty notices for disorder and fixed penalty notices registered as fines for enforcement. The financial imposition statistics presented here do not include confiscation orders. Figure 16 shows the financial impositions for each quarter split by imposition type.
**Figure 16: HMCTS management information: Financial impositions by imposition type, England and Wales, Q2 2011 - Q1 2016**
<img>
A bar chart showing financial impositions in period (£ millions) by quarter and year.
The y-axis ranges from 0 to 200 in increments of 20.
The x-axis shows quarters (Q1, Q2, Q3, Q4) and years (2011, 2012, 2013, 2014, 2015, 2016).
Legend:
- Criminal Court Charge
- Other
- Costs
- Fines
- Victim Surcharge
- Compensation
Data points:
- Q1 2011: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q2 2011: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q3 2011: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q4 2011: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q1 2012: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q2 2012: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q3 2012: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q4 2012: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q1 2013: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q2 2013: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q3 2013: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q4 2013: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q1 2014: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q2 2014: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q3 2014: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q4 2014: Criminal Court Charge ~8, Other ~7, Costs ~5, Fines ~3, Victim Surcharge ~3, Compensation ~1
- Q1 2015: Criminal Court Charge <span style="color:red;">ceased to exist</span>, Other <span style="color:red;">ceased to exist</span>, Costs <span style="color:red;">ceased to exist</span>, Fines <span style="color:red;">ceased to exist</span>, Victim Surcharge <span style="color:red;">ceased to exist</span>, Compensation <span style="color:red;">ceased to exist</span>
- Q2 2015: Criminal Court Charge <span style="color:red;">ceased to exist</span>, Other <span style="color:red;">ceased to exist</span>, Costs <span style="color:red;">ceased to exist</span>, Fines <span style="color:red;">ceased to exist</span>, Victim Surcharge <span style="color:red;">ceased to exist</span>, Compensation <span style="color:red;">ceased to exist</span>
- Q3 2015: Criminal Court Charge <span style="color:red;">ceased to exist</span>, Other <span style="color:red;">ceased to exist</span>, Costs <span style="color:red;">ceased to exist</span>, Fines <span style="color:red;">ceased to exist</span>, Victim Surcharge <span style="color:red;">ceased to exist</span>, Compensation <span style="color:red;">ceased to exist</span>
- Q4 2015: Criminal Court Charge <span style="color:red;">ceased to exist</span>, Other <span style="color:red;">ceased to exist</span>, Costs <span style="color:red;">ceased to exist</span>, Fines <span style="color:red;">ceased to exist</span>, Victim Surcharge <span style="color:red;">ceased to exist</span>, Compensation <span style="color:red;">ceased to exist</span>
- Q1 2016: Criminal Court Charge <span style="color:red;">ceased to exist</span>, Other <span style="color:red;">ceased to exist</span>, Costs <span style="color:red;">ceased to exist</span>, Fines <span style="color:red;">ceased to exist</span>, Victim Surcharge <span style="color:red;">ceased to exist</span>, Compensation <span style="color:red;">ceased to exist</span>
Legend: Criminal Court Charge Other Costs Fines Victim Surcharge Compensation
Financial Impositions in Period (£ millions) Q2 | Q3 | Q4 | Q1 | Q2 | Q3 | Q4 | Q1 | Q2 | Q3 | Q4 | Q1 | Q2 | Q3 | Q4 | Q1 | ---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|--- <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>| <watermark>CEASED TO EXIST ON 24 DECEMBER 2015 BUT IMPOSITIONS STILL APPEAR DUE TO WHEN THE DATA ARE ENTERED ONTO THE SYSTEM.</watermark>
Notes: Criminal Court Charge ceased to exist on 24 December 2015 but impositions still appear due to when the data are entered onto the system.
\<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here\</page_number> \<page_number>Page number goes here</pages>\</ **Financial impositions and amounts paid** (Table A1)
Financial penalties can be imposed by the magistrates’ courts and the Crown Court; although they are all collected and enforced by the HMCTS National Compliance and Enforcement Service.
Trends in the amount paid have risen between 2004 and 2015 by 60% to £360 million at 2015. Between 2014 and 2015 the amount paid rose by 20%. This is partly due to a large value of criminal court charge payments following the implementation of the imposition in Q2 2015.
The total value of financial penalties paid in Q1 2016, regardless of the age of the imposition, was £109 million; a 27% increase when compared with the same quarter in 2015 and a 14% increase since Q4 2015.
**Financial impositions and amounts paid by imposition type** (Table A2, figure 16)
The total amount of impositions imposed increased between 2012 and 2015 by 42% to £573 million. Alongside the implementation of the criminal courts charge in Q2 2015, which inflated the 2015 figure, impositions for the remaining charges have also shown an overall increase since 2012.
The total value of impositions in Q1 2016 (£153 million) decreased by 13% when compared to Q4 2015. This is mainly due to the ceasing in December 2015 of the criminal courts charge that was introduced in April 2015. In Q1 2016, 13% (£20 million) of all financial impositions imposed by the criminal courts were paid within the imposition month.
**Financial impositions (£ million) for victim surcharge** (Table A2, figure 17)
Victim surcharge is an additional surcharge which is added to the fines that are imposed. The receipts obtained from the collection of these monies by HMCTS are passed to the Justice Policy Group of the MoJ to fund victims’ services. The amount imposed has been increasing since its scope and amounts payable were extended in October 2012.
Although increases have slowed and stabilised at this higher level in 2015, impositions are 4% higher at Q1 2016 than at Q4 2015. While the amount imposed has remained high, the proportion of impositions collected within the imposition month has decreased from 12% in Q1 2013 to 11% in Q1 2016.
\<page_number>20\</page_number> Figure 17: Financial impositions (£ million) for victim surcharge, Q2 2011 to Q1 2016
<img>
A bar chart showing financial impositions in period (£ millions) from Q2 2011 to Q1 2016.
The y-axis ranges from 0.0 to 12.0.
The x-axis shows years: 2011, 2012, 2013, 2014, 2015, 2016.
The bars represent financial impositions (Imposed (£ millions)).
Q2 2011: ~3.5
Q3 2011: ~3.5
Q4 2011: ~3.5
Q1 2012: ~3.5
Q2 2012: ~3.5
Q3 2012: ~3.5
Q4 2012: ~3.5
Q1 2013: ~6.5
Q2 2013: ~8.5
Q3 2013: ~8.5
Q4 2013: ~8.5
Q1 2014: ~9.5
Q2 2014: ~9.5
Q3 2014: ~9.5
Q4 2014: ~9.5
Q1 2015: ~9.5
Q2 2015: ~9.5
Q3 2015: ~9.5
Q4 2015: ~9.5
Q1 2016: ~9.5
A line graph showing within imposition month (%) from Q2 2011 to Q1 2016. The y-axis ranges from 0% to 18%. The x-axis shows years: Q2, Q3, Q4, Q1, Q2, Q3, Q4, Q1, Q2, Q3, Q4, Q1, Q (r), (r), (r), (p). The line represents within imposition month (%). Q2 2011: ~7% Q3 2011: ~7% Q4 2011: ~7% Q1 2012: ~7% Q2 2012: ~7% Q3 2012: ~7% Q4 2012: ~7% Q1 2013: ~7% Q2 2013: ~7% Q3 2013: ~7% Q4 2013: ~7% Q1 2014: ~7% Q2 2014: ~7% Q3 2014: ~7% Q4 2014: ~7% Q1 2015: ~7% Q2 2015: ~7% Q3 2015: ~7% Q4 2015: ~7% Q1 2016: ~7% </img>
Financial Imposition accounts opened and closed (Table A3)
An account is opened when a financial penalty is ordered in court and is closed when the imposition against the account has been paid or the imposition ceases. Where a defendant has more than one financial penalty and/or account, these can be consolidated into one account.
The number of accounts has risen since 2013. There were 1,285,000 accounts opened in 2015, 3% more than in 2014.
There were 326,000 accounts opened in Q1 2016, an increase of 4% since Q4 2014, but a decrease of 1% when compared to the same period in the previous year. Of the accounts opened in Q1 2016, 10% (32,600) were closed within the imposition month.
Outstanding financial impositions (Table A4)
The amount outstanding is irrespective of the age of the imposition or the payment terms, and excludes all impositions already paid as well as both legal and administrative cancellations. Payment terms may include arrangements for offenders to pay amounts owed over a period of time.
In Q1 2016, the total value of financial impositions outstanding in England and Wales was £686 million. Although they had been decreasing from April 2011, the amount of outstanding financial impositions has been increasing since Q1 2014, and show an increase of 19% between Q1 2015 and Q1 2016. The increase in outstanding impositions from 2015 is partially due to owed criminal court charge payments.
\<page_number>21\</page_number> Annex B: Legal representation in the Crown Court (experimental statistics)
**Representation by year**
The proportion of defendants dealt with in the Crown Court who are known to have had legal representation\\textsuperscript{2} has decreased by 2 percentage points between 2010 and 2015. During 2015, 93% (89,400) of defendants were represented by an advocate at the first hearing whilst 7% (7,000) of defendants had no advocate or unknown representation at first hearing. This compares to 95% and 5% respectively in 2010.
The proportion of defendants represented at first hearing by an advocate only, with no solicitor representation, has increased since 2010. Of those in 2015, 18% (16,500) did not have a solicitor, compared to 2% (2,300) in 2010.
**Representation and hearings**
In 2015, 27% of represented defendants had two or less hearings, compared with 17% of defendants whose representation was unknown or were known to be unrepresented. Conversely, 20% of represented defendants had six or more hearings, compared with 25% who had no or unknown representation.
**Annex C: Juror Statistics**
There were 361,300 juror summons issued in 2015, a 2% increase compared to the number of juror summons issued in 2014. In the same year around 27% of all juror summons were excused, an increase of 1 percentage point when compared with the previous year. In 2015 there were 179,200 jurors supplied to the court.
The juror utilisation rate is the number of sitting days divided by the sum of sitting, non-sitting and non-attendance days. Since 2006 the juror utilisation rate has, overall, risen by 12 percentage points to the current rate of 71% in 2015, although it has been around this level since 2011. The increase may be the result of the introduction of a programme on the part of HMCTS to avoid placing more of a burden on jurors than necessary and make the best use of their time.
\\textsuperscript{2} Representation is classed as defendants who were known to be represented by an advocate or solicitor at first hearing.
\<page_number>22\</page_number> Annex D: Election of the defendant (experimental statistics)
Triable-either-way cases can be sent to the Crown Court for trial if the magistrates’ courts decide the matter is serious enough, or if a defendant elects to be tried by judge and jury.
In Q1 2016, there were 15,200 defendants dealt with in either-way trial cases in the Crown Court. Of these, 14,200 defendants were sent on the direction of magistrates and 960 defendants had elected to be sent to the Crown Court (there were a small number of cases where information on election type is missing).
Excluding those defendants where election type was unknown, direction by magistrates resulted in 94% of defendants dealt with, with 6% of defendants having elected to be sent for trial. The proportion of defendants sent on the direction of magistrates has increased by 2 percentage points between Q1 2014 and Q1 2016 (from 92% to 94%), with a corresponding decrease of 2 percentage points in defendants electing for trial (from 8% to 6%).
Of the 14,200 defendants sent on the direction of magistrates in Q1 2016, 9,900 (69%) pleaded guilty and 3,700 (26%) pleaded not guilty¹. Of the 960 defendants who elected to be sent for trial, 420 pleaded guilty (44%) and 470 (49%) pleaded not guilty.
¹ Note all defendants have a plea recorded – for example, if a case is discontinued.
\<page_number>23\</page_number> Annex E: List of Accompanying Tables and CSV
Accompanying this publication are the following tables:
**Table M1** Receipts, disposals and outstanding criminal cases in the magistrates' courts in England and Wales, annually 2012 - 2015, quarterly Q2 2012 – Q1 2016
**Table M2** Effectiveness of magistrates' courts' trials in England and Wales, annually 2003 - 2015, quarterly Q1 2010 – Q1 2016
**Table M3** Key reasons for ineffective magistrates' courts' trials in England and Wales, annually 2006 - 2015, quarterly Q1 2010 – Q1 2016
**Table M4** Key reasons for cracked magistrates' courts' trials in England and Wales, annually 2010 - 2015, quarterly Q1 2010 – Q1 2016
**Table AM1** Annual table: Effectiveness of magistrates' courts' trials in England and Wales by region, 2015
**Table C1** Receipts, disposals and outstanding cases in the Crown Court in England and Wales, annually 2000 - 2015, quarterly Q1 2010 – Q1 2016
**Table C1a** Receipts by offence group in the Crown Court in England and Wales, annual 2014 – 2015, quarterly Q1 2014 – Q1 2016
**Table C1b** Disposals by offence group in the Crown Court in England and Wales, annual 2014 – 2015, quarterly Q1 2014 – Q1 2016
**Table C1c** Outstanding cases by offence group in the Crown Court in England and Wales, annual 2014 – 2015, quarterly Q1 2014 – Q1 2016
**Table C2** Effectiveness of Crown Court trials in England and Wales, annually 2007 - 2015, quarterly Q1 2010 – Q1 2016
**Table C3** Key reasons for ineffective Crown Court trials in England and Wales, annually 2007 - 2015, quarterly Q1 2010 – Q1 2016
**Table C4** Key reasons for cracked Crown Court trials in England and Wales, annually 2007 - 2015, quarterly Q1 2010 – Q1 2016
**Table C5** Defendants dealt with in trial cases in the Crown Court by plea in England and Wales, annually 2001 - 2015, quarterly Q1 2010 – Q1 2016
**Table C6** Defendants dealt with in trial cases by stage at which guilty plea was entered and accepted in the Crown Court, by receipt type, England and Wales, annually 2010 - 2015, quarterly Q1 2010 – Q1 2016
**Table C7** Defendants dealt with in trial cases where a guilty plea was entered before a trial, during trial or at a cracked trial, and accepted in the Crown Court, by receipt type, England and Wales, annually 2010 - 2015, quarterly Q1 2010 – Q1 2016
\<page_number>24\</page_number>
<table>
<tr>
<td>Table C8</td>
<td>Average waiting times in the Crown Court in England and Wales, annually 2000 - 2015, quarterly Q1 2010 – Q1 2016</td>
</tr>
<tr>
<td>Table C9</td>
<td>Average waiting times (weeks) in the Crown Court for defendants dealt with in trial cases, by plea and remand type, England and Wales, annually 2007 - 2015, quarterly Q1 2010 – Q1 2016</td>
</tr>
<tr>
<td>Table C10</td>
<td>Average hearing and waiting times for trial cases in the Crown Court by plea in England and Wales, annually 2000 - 2015, quarterly Q1 2010 – Q1 2016</td>
</tr>
<tr>
<td>Table C11</td>
<td>Average hearing times (hours) in the Crown Court for cases disposed of, by case type and plea, England and Wales, annually 2007 - 2015, quarterly Q1 2010 – Q1 2016</td>
</tr>
<tr>
<td>Table C12</td>
<td>Appeals (against decisions of magistrates' courts) dealt with in the Crown Court, by appeal type and result, England and Wales, annually 2007 - 2015, quarterly Q1 2010 – Q1 2016</td>
</tr>
<tr>
<td>Table AC1</td>
<td>Annual table: Receipts, disposals and outstanding cases in the Crown Court by region, 2015</td>
</tr>
<tr>
<td>Table AC2</td>
<td>Annual table: Cases disposed of in the Crown Court by case type and number of defendants involved, 2007- 2015</td>
</tr>
<tr>
<td>Table AC3</td>
<td>Annual table: Cases dealt with in the Crown Court by type of judge and region, 2015</td>
</tr>
<tr>
<td>Table AC4</td>
<td>Annual table: Cases disposed of and proportion heard by High Court judges in the Crown Court, by class and region, 2015</td>
</tr>
<tr>
<td>Table AC5</td>
<td>Annual table: Effectiveness of Crown Court trials by region, 2015</td>
</tr>
<tr>
<td>Table AC6</td>
<td>Annual table: Defendants dealt with in trial cases in the Crown Court showing result according to plea, 2007- 2015</td>
</tr>
<tr>
<td>Table AC7</td>
<td>Annual table: Defendants acquitted in trial cases in the Crown Court after a not guilty plea, by manner of acquittal, 2007-2015</td>
</tr>
<tr>
<td>Table AC8</td>
<td>Annual table: Defendants convicted after a not guilty plea in trial cases in the Crown Court, by number of jurors dissenting to the verdict, 2007-2015</td>
</tr>
<tr>
<td>Table AC9</td>
<td>Annual table: Summary statistics on hearing times, waiting times, plea rates and juror utilisation in the Crown Court, by region, 2007-2015</td>
</tr>
<tr>
<td>Table T1</td>
<td>Average number of days from offence to completion, percentage of proceedings completed at first listing and average number of hearings for criminal cases at the magistrates' courts by initial plea, England and Wales, annually 2010 - 2015, quarterly Q2 2010 – Q1 2016</td>
</tr>
<tr>
<td>Table T2</td>
<td>Average number of days taken from offence to completion for all criminal cases at the magistrates' courts in England and Wales, annually 2010 - 2015, quarterly Q2 2010 – Q1 2016</td>
</tr>
</table>
\<page_number>25\</page_number> Table T3 Average number of days taken from offence to completion for all summary cases at the magistrates' courts in England and Wales, annually 2010 - 2015, quarterly Q2 2010 – Q1 2016
Table T4 Average number of days taken from offence to completion for Crown Court criminal cases in England and Wales, annually 2010 - 2015, quarterly Q2 2010 – Q1 2016
Table T5 Average number of days taken from offence to completion for criminal cases in England and Wales, annually 2010 - 2015, quarterly Q2 2010 – Q1 2016
Table T6 Average number of days taken from offence to completion for all criminal cases by offence group, in England and Wales, Q1 2015 and Q1 2016
Table AT1 Annual table: Average number of days taken from offence to completion for criminal cases by region, 2015
Table A1 Enforcement of financial penalties in the magistrates' courts, England and Wales, annually 2004 - 2015, quarterly Q1 2010 – Q1 2016
Table A2 HMCTS management information: Financial impositions and amounts paid by imposition type, England and Wales, annual 2011 - 2015, quarterly Q2 2011 – Q1 2016
Table A3 HMCTS management information: Number of financial imposition accounts opened and closed, annually 2011 - 2015, quarterly Q2 2011 – Q1 2016
Table A4 HMCTS management information: Total amount of financial impositions outstanding, annually 2011 - 2015, quarterly Q2 2011 – Q1 2016
Table B1 Advocate and solicitor representation, at first hearing, of defendants dealt with in the Crown Court, England and Wales, annually 2010 – 2015
Table B2 Representation status, at first hearing, of defendants dealt with in the Crown Court, England and Wales, annually 2010 – 2015
Table B3 Number of hearings in the Crown Court, by representation status at first hearing, England and Wales, annually 2010 – 2015
Table J1 Summary jury summoning figures in the Crown Court, 2007 - 2015
Table J2 Juror sitting days and juror utilisation in the Crown Court, England and Wales, 2006 – 2015
Table D1 Number of defendants dealt with in either-way-trial cases in the Crown Court by plea and election type, England and Wales, Q1 2010 to Q1 2016
There are also a number of csv files that support this publication, these include:
- National and court level workload activity and case progression data
- National and court level timeliness data
\<page_number>26\</page_number> Annex F: Explanatory notes
The United Kingdom Statistics Authority has designated these statistics as National Statistics, in accordance with the Statistics and Registration Service Act 2007 and signifying compliance with the Code of Practice for Official Statistics. Designation can be broadly interpreted to mean that the statistics:
- meet identified user needs;
- are well explained and readily accessible;
- are produced according to sound methods, and
- are managed impartially and objectively in the public interest.
Once statistics have been designated as National Statistics, it is a statutory requirement that the Code of Practice shall continue to be observed.
The statistics in this bulletin relate to cases in the magistrates’ courts and the Crown Court in England and Wales. Calendar year statistics are also provided.
Breakdowns of many of the summary figures presented in this bulletin, such as split by court or by HMCTS area, are available in the Comma Separated Value (CSV) files that accompany this publication.
Revisions
The statistics in the latest quarter are provisional, and are therefore liable to revision to take account of any late amendments to the administrative databases from which these statistics are sourced. The standard process for revising the published statistics to account for these late amendments is as follows:
- An initial revision to the statistics for the latest quarter may be made when the next edition of this bulletin is published. Further revisions may be made when the figures are reconciled at the end of the year. If revisions are needed in the subsequent year this will be clearly annotated in the tables.
For more information please see the [Guide to criminal court statistics](#).
Symbols and conventions
The following symbols have been used throughout the tables in this bulletin: .. = Not applicable
- = Not available 0 = Nil (r) = Revised data (p) = Provisional data
\<page_number>27\</page_number> Previous editions
Previous editions of Court Statistics Quarterly can be found at: www.gov.uk/government/collections/court-statistics-quarterly#court-statistics-quarterly-reports
Future publication
The next publication of Criminal court statistics quarterly is scheduled to be published on 29 September 2016, covering the period April to June 2016.
Contacts
Press enquiries on the contents of this bulletin should be directed to the Ministry of Justice or Her Majesty's Courts and Tribunal Service (HMCTS) press offices:
**Ministry of Justice News Desk** Tel: 020 3334 3536 Email: newsdesk@justice.gsi.gov.uk
Other enquiries about these statistics should be directed to the Justice Statistics Analytical Services division of the Ministry of Justice:
**David Jagger** Ministry of Justice 102 Petty France London SW1H 9AJ Email: statistics.enquiries@justice.gsi.gov.uk
General enquiries about the statistics work of the Ministry of Justice can be emailed to statistics.enquiries@justice.gsi.gov.uk
General information about the official statistics system of the UK is available from www.statistics.gov.uk
Feedback
The structure and content of this report is continually being reviewed to reflect user requirements. If you have any feedback about these changes, or the report more generally, please contact the production team through the Justice Statistics Analytical Services division of the Ministry of Justice:
Email: statistics.enquiries@justice.gsi.gov.uk
© Crown copyright Produced by the Ministry of Justice
Alternative formats are available on request from statistics.enquiries@justice.gsi.gov.uk
\<page_number>28\</page_number>
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ENGLISH
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0413-pdf
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<img>CPS logo</img>
Disclosure ref: 60 Sent: 11<sup>th</sup> November 2019
**Freedom of Information Act 2000 Request**
**Information in relation to the costs and work completed on the case of Paul Gascoigne over claims of a sexual assault in 2018**
**Request**
1. Please provide a breakdown of all known costs to the CPS of the prosecution of Paul Gascoigne over claims of sexual assault on a train in 2018;
2. Please disclose the known number of hours logged by staff working on the case, with a breakdown showing what their roles were.
**Response**
In response to point one, generally, where a request is made regarding prosecution costs, the Crown Prosecution Service (CPS) will endeavour to provide counsel’s costs only. CPS West Midlands confirm that costs of £9,288.00 are recorded against one named QC and costs of £188.00 are recorded against another named QC.
The CPS does not record time spent by internal lawyers, paralegals and administrative staff on a case by case basis. Staff hours are therefore not recorded as described in point two. It is on this basis therefore that we are only able to provide counsel’s costs.
**Information Management Unit** 020 3357 0788 IMU@cps.gov.uk
<img>INVESTORS IN PEOPLE logo</img>
Crown Prosecution Service, Information Management Unit, Floor 8, 102 Petty France, London SW1H 9AJ United Kingdom www.cps.gov.uk
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ENGLISH
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3940-pdf
|
<img>Blady District Council the heart of Leicestershire</img>
**SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)**
**FOR THE MONTH OF MAY, 2015**
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>#RECOVERABLE VAT</th>
<th>PROCLAIM REF.</th>
</tr>
</thead>
<tbody>
<tr>
<td>AC TRAINING SERVICES</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Local Loans</td>
<td>28/05/2015</td>
<td>1,203.91</td>
<td>0.00</td>
<td>261820</td>
</tr>
<tr>
<td>AC TRAINING SERVICES</td>
<td>H&Nood & Env. Health Services</td>
<td>Vehicle Maintenance</td>
<td>Dinners & Short Training</td>
<td>28/05/2015</td>
<td>0.00</td>
<td>0.00</td>
<td>381100</td>
</tr>
<tr>
<td>BARTON HIRE UK LIMITED</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Gardening & Balance Sheet</td>
<td>28/05/2015</td>
<td>1,559.91</td>
<td>0.00</td>
<td>381100</td>
</tr>
<tr>
<td>BRANDON HIRE</td>
<td>H&Nood & Env. Health Services</td>
<td>Grounds Maintenance Service</td>
<td>Countryside Areas Maintenance</td>
<td>28/05/2015</td>
<td>409.50</td>
<td>0.00</td>
<td>393131</td>
</tr>
<tr>
<td>British TELECOM PLC</td>
<td>H&Nood & Env. Health Services</td>
<td>Park & Garden Services - Internal</td>
<td>Parks & Gardens - Internal</td>
<td>28/05/2015</td>
<td>697.90</td>
<td>0.00</td>
<td>271700</td>
</tr>
<tr>
<td>British TELECOM PLC.</td>
<td>Park & Garden Services - Internal</td>
<td>Parks & Gardens - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - Internal - International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance International Area Maintenance Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Internet Interna
SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)
FOR THE MONTH OF MAY, 2015
<table>
<thead>
<tr>
<td>SUPPLIER NAME</td>
<td>PORTFOLIO</td>
<td>COST CENTRE</td>
<td>EXPENDITURE CLASS</td>
<td>POST. DATE</td>
<td>AMOUNT</td>
<td>#RECOVERABLE VAT</td>
<td>PROCLAIM REF.</td>
</tr>
</thead>
<tbody>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Grounds Maintenance Service</td>
<td>Temporary/Casual Staff</td>
<td>07/05/2015</td>
<td>8136.00</td>
<td>0.00</td>
<td>261412</td>
</tr>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Cleansing Services</td>
<td>Temporary/Casual Staff</td>
<td>07/05/2015</td>
<td>628.00</td>
<td>0.00</td>
<td>261412</td>
</tr>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Cleansing Services</td>
<td>Temporary/Casual Staff</td>
<td>13/05/2015</td>
<td>694.17</td>
<td>0.00</td>
<td>261412</td>
</tr>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Cleansing Services</td>
<td>Temporary/Casual Staff</td>
<td>21/05/2015</td>
<td>565.62</td>
<td>0.00</td>
<td>261412</td>
</tr>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Refuse Col & Domestic Recyc</td>
<td>Temporary/Casual Staff</td>
<td>07/05/2015</td>
<td>1,071.25</td>
<td>0.00</td>
<td>261412</td>
</tr>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Highway Cyclic Main Pmsercy</td>
<td>Temporary/Casual Staff</td>
<td>07/05/2015</td>
<td>312.90</td>
<td>0.00</td>
<td>261412</td>
</tr>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED</td>
<td>NHood & En. Health Services</td>
<td>Highway Cyclic Main Pmsercy</td>
<td>Temporary/Casual Staff</td>
<td>13/05/2015</td>
<td>234.90</td>
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/><<page_number>Page 2 of </page_number></table>
<table>
<tr>
<td>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONNEL MIDLANDS LIMITED<br>JAM PERSONEL RECRUITMENT SOLUTIONS Community Services<br>JAM PERSONEL RECRUITMENT SOLUTIONS Community Services<br>JAM PERSONEL RECRUITMENT SOLUTIONS Community Services<br>JAM PERSONEL RECRUITMENT SOLUTIONS Community Services<br>JON-THON STEWARDS LTD Community Services Community & NHead Services Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay Gross Pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross pay gross paygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygrosspaygross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gross_pay_gros
<img>Blaby District Council the heart of Leicestershire</img>
SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)
FOR THE MONTH OF MAY, 2015
<table>
<thead>
<tr>
<td>SUPPLIER NAME</td>
<td>PORTFOLIO</td>
<td>COST CENTRE</td>
<td>EXPENDITURE CLASS</td>
<td>POST. DATE</td>
<td>AMOUNT</td>
<td>#RECOVERABLE VAT</td>
<td>PROCLAIM REF.</td>
</tr>
</thead>
<tbody>
<tr>
<td>LOCAL WORLD LIMITED</td>
<td></td>
<td>Planning, Econ. Dev. & Housing</td>
<td>Panning Delivery<br>Advertising - Notices</td>
<td>13/05/2015</td>
<td>288.15</td>
<td>0.00</td>
<td>191600</td>
</tr>
<tr>
<td>LOCAL WORLD LIMITED</td>
<td></td>
<td>Planning, Econ. Dev. & Housing</td>
<td>Panning Delivery<br>Advertising - Notices</td>
<td>13/05/2015</td>
<td>497.85</td>
<td>0.00</td>
<td>191600</td>
</tr>
<tr>
<td>LOCAL WORLD LIMITED</td>
<td></td>
<td>Planning, Econ. Dev. & Housing</td>
<td>Panning Delivery<br>Advertising - Notices</td>
<td>21/05/2015</td>
<td>384.20</td>
<td>0.00</td>
<td>191600</td>
</tr>
<tr>
<td>LOCAL WORLD LIMITED</td>
<td></td>
<td>Planning, Econ. Dev. & Housing</td>
<td>Panning Delivery<br>Advertising - Notices</td>
<td>28/05/2015</td>
<td>288.15</td>
<td>0.00</td>
<td>191600</td>
</tr>
<tr>
<td>MATTRESS MAN</td>
<td></td>
<td>Community Services<br>Housing Support - Bradgate Mhu</td>
<td>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiatives Fees<br>Purpose/Initiives Fee...<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table>
<tbody>
<tr>
<td>MATTRESS MAN</td>
<td></td>
<td>Community Services<br>Resident Support</td>
<td>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts<br>Provision Amounts...</table>
<table>
<tr>
<td>MATTRESS MAN</table>
<table>
<tr>
<td>MATTRESS MAN</table>
<table>
<tr>
<td>MATTRESS MAN table cell content is truncated due to length limit.
Please provide the complete content for the "MATTRESS MAN" table cell content. This table appears to contain incomplete data for some entries.
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I'm unable to provide more details about this table without seeing the full content.
If you need help with anything else, feel free to ask! <img>Blaby District Council the heart of Leicestershire logo</img>
SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)
FOR THE MONTH OF MAY, 2015
<table>
<thead>
<tr>
<td>SUPPLIER NAME</td>
<td>PORTFOLIO</td>
<td>COST CENTRE</td>
<td>EXPENDITURE CLASS</td>
<td>POST. DATE</td>
<td>AMOUNT</td>
<td>#RECOVERABLE VAT</td>
<td>PROCLAIM REF.</td>
</tr>
</thead>
<tbody>
<tr>
<td>XMA LIMITED</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Misc - Postage Meter - Trit</td>
<td></td>
<td>337.74</td>
<td>0.00</td>
<td>271100</td>
</tr>
<tr>
<td>XMA LIMITED</td>
<td>Community Services</td>
<td>Light Bulb Project</td>
<td>Computer Equipment</td>
<td>13/05/2015</td>
<td>337.74</td>
<td>0.00</td>
<td>271100</td>
</tr>
<tr>
<td>XMA LIMITED</td>
<td>Community Services</td>
<td>Light Bulb Project</td>
<td>Computer Equipment</td>
<td>13/05/2015</td>
<td>578.34</td>
<td>0.00</td>
<td>271100</td>
</tr>
<tr>
<td>XMA LIMITED</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Members' I-Pads</td>
<td>28/05/2015</td>
<td>680.00</td>
<td>0.00</td>
<td>271200</td>
</tr>
<tr>
<td>XMA LIMITED</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Members' I-Pads</td>
<td>28/05/2015</td>
<td>3,210.00</td>
<td>0.00</td>
<td>271200</td>
</tr>
</tbody>
</table>
\<page_number>Page 4 of 4\</page_number>
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<img>A The National Archives logo</img> The National Archives
Archive Principles and Practice: an introduction to archives for non-archivists © Crown copyright 2016
You may re-use this document (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence. To view this licence, visit: nationalarchives.gov.uk/doc/open-government-licence/ ; or email: psi@nationalarchives.gsi.gov.uk
Any enquiries regarding the content of this document should be sent to Archives Sector Development: asd@nationalarchives.gsi.gov.uk
\<page_number>Page 2 of 24\</page_number> CONTENTS
**1. Introduction** 1.1 What is the purpose of this guidance? 1.2 Who is this guidance for?
**2. Looking after archives** 2.1 What are archives? 2.2 Major risks 2.3 Taking control 2.4 Supporting safe access
**3. Next Steps in archives** 3.1 Storage and preservation 3.2 Records Management and Archives 3.3 Cataloguing and Arrangement 3.4 Funding and Sustainability 3.5 Benefits from Your Archives 3.6 Decisions on long term custody
**4. Useful Information** 4.1 Other published guidance 4.2 Audio-Visual Preservation 4.3 Specialist advice 4.4 Archival networks 4.5 Professional Organisations and membership 4.6 Training Courses and Professional Development 4.7 Useful books
**5. Case Studies** 5.1 Case studies
\<page_number>Page 3 of 24\</page_number> **1 Introduction**
**1.1 What is the purpose of this guidance?**
The purpose of this guide is to support people who own or look after archive material. It will help you to assess and plan for the care and development of your archive collection. It applies to all sizes of collection from a small storage cupboard to the contents of a large storeroom.
The prospect of organising and developing your archive can be daunting. If the process is divided into simple tasks, the process becomes much easier to manage. “It is often easier to recognise that action is needed than to know where to start.” With this in mind, the guide includes practical steps, which can easily be taken to protect archival collections.
**1.2 Who is this guidance for?** This guidance is mainly aimed at people who look after or own archives, but who are not professional archivists and need some simple guidance. It may also be useful for museum, library and other heritage professionals who have archives in their care and need guidance to improve what they can do.
**1.3 How is this guidance arranged?** The guide is organised into two main sections to provide a helpful level of detail for beginners, and more experienced professionals. For beginners, working through each section will build knowledge and allow you to work towards best practice with an understanding of the methods and support which is available.
- Section 2 is for beginners and has simple steps to improve what you are doing (or not doing) to better care for and provide access to your archival collections. It includes protection from the major risks of fire, flood and theft and is suitable for beginners and small organisations without a professional archivist.
- Section 3 is for more experienced custodians and shows how you can take additional steps to improve what you are doing, including more complex solutions to care for and protect your collections.(^1) It is suitable for people with some knowledge and experience in small to medium sized organisations.
There are 2 supplementary sections with additional information and examples of good practice.
- Section 4 includes Useful Information for all who care for archives.
- Section 5 includes Case Studies describing good practice and progress made by others.
**2. First steps in archives**
**2.1 What are archives?** (^2) Archives are collections of documents or ‘records’ which have been selected for permanent preservation because of their value as evidence or as a source for historical or other research. Records are created by the activities of organisations and people; they serve an active purpose whilst in current use and some of them are later selected and preserved as part of an archival collection.
(^1) Managing the Preservation of Library and Archive Collections in Historic Buildings, National Preservation Office (2002) (^2) A custodian is someone who keeps or looks after a collection. It often describes someone in museum or gallery sectors. It is used here to describe someone who keeps or looks after an archive collection.
\<page_number>Page 4 of 24\</page_number> Archive collections are usually unique, which is why it is so important to take proper care of them. They need to be carefully stored and managed to protect and preserve them for current and future use.
**2.1.2** Sometimes these collections are kept in specialist collecting institutions, which are also called 'archives'. Examples of these include national and local archives and record offices. Archives are also kept by other institutions, including museums and libraries. Sometimes archival collections are kept in other locations such as religious organisations, universities, schools, businesses, charities, arts organisations and community groups that often hold their own institutional records.
**2.1.3 Why are archives important?**
Archives have value to nations and regions, organisations, communities, and individual people. They provide evidence of activities which occurred in the past, they tell stories, document people and identity and are valuable sources of information for research. They are our recorded memory and form an important part of our community, cultural, official and unofficial history.
**2.2 Major risks**
Risk cannot be avoided completely and even if you are well-prepared, events happen which can damage buildings and the archives stored in them. However, much can be done to manage these risks.
The first thing to do is think of the things that can go wrong; then look at what steps you can take to prevent things going wrong; then plan what to do if despite your efforts things do go wrong and there is an incident of some sort. The major risks are fire, flood, theft and unauthorised access. Guidance on these is given at 2.2.1 to 2.2.3 below. An important tool to safeguard archival collections is a disaster management plan and guidance on this is given at 2.2.4 below.
**2.2.1 Fire prevention**
Fire prevention is the first line of defence in preventing destruction or irreversible damage to archives.
Areas where archives are stored should be solidly built and must avoid the risk of fire. Storerooms should be assessed for risks from fire and suitable counter measures put in place. This includes fire-resistant doors, walls, ceilings, floors and windows. All of this is supported by the fire-prevention measures needed for any place of work or public building.
What you can do
- Never use open fires, stoves, gas, radiant electric or paraffin heaters in an archive building.
- The storage area should have fire-resistant doors, walls, ceilings, floors and windows.
- Most offices have twenty-minute fire resistant doors. Archives need more protection than this. The ideal would be four-hour fire resistant doors.
- Electric wiring circuits should be routed through metal conduits (tracking which holds the wires clear of other materials.)
- Master switches for electrical circuits should be outside the storage area.
- Smoke detectors should be fitted inside and outside the storage area.
- Smoke detectors should link to the building's main alarm system and where possible, the Fire Service.
\<page_number>Page 5 of 24\</page_number> **2.2.2 Flood**
Water will cause major damage to archives. Flooding can be caused by water coming into the building from outside or by water leaking from tanks or pipe work inside the building.
**What you can do**
- If the building is in an area known to be at risk of flooding, archives should be stored on the first floor or above. Ideally, they should be relocated to another building less at risk.
- Shelving should be raised off the ground to avoid damage from minor flooding or leaks.
- Roofing, guttering and drains for rainwater should be in good condition and regularly checked and maintained to prevent water entering the building.
- Water tanks and pipe work inside the building should be in good condition and regularly checked and maintained to prevent leaks.
- Pipe work should not run through storage areas. This includes all plumbing and central heating water pipes.
- Storage areas should not be directly below water tanks, boilers or pipe work.
- Basement storage should be avoided. Where used, it needs special attention to prevent flooding. If possible, it should not be near to storm drains or sewage pipes.
**2.2.3 Theft or unauthorised access**
Protecting archives from theft, deliberate damage or disorder ensures that they remain complete, intact and usable. Storage rooms, areas and cupboards must be lockable. Only the people responsible for caring for the archives should access these areas.
Archives and current records need to be protected from unauthorised access. This means that people who should not have access to the records and the information they contain should be prevented from gaining access. Secure storage applies to all types of records: paper and parchment; digital records; video and sound recordings and any copies made of them. Protecting archives and records in this way is sometimes called ‘information security’.
**What you can do**
- Storage must be lockable and kept locked when not in use.
- Access to the storage area must be controlled and monitored.
- If storage areas have to be shared, archives should be clearly separated and only handled by people responsible for their care.
- No item should be moved or removed without the permission of those people responsible for their care.
- If an item is moved or removed, a note must be left with details of where it is and who has it.
- A register of withdrawals and returns should be kept.
- A separate area for viewing and using the archives should be set aside if possible.
- All areas should be monitored when in use.
**2.2.4 Disaster planning**
The impact of risks can be reduced by disaster management planning, for example arrangements for salvaging the archive if a major incident such as a flood, a fire or a break-in happens. Taking action as soon as possible is essential to reduce damage caused by such incidents. If items have been stolen, prompt action may help recover them.
\<page_number>Page 6 of 24\</page_number> What you can do
- Detailed guidance on disaster planning and management is available which will help you to consider likely outcomes and to develop your own contingency preparations:
- The National Archives: nationalarchives.gov.uk/documents/information-management/disaster-planning-risk-management.pdf
- British Library Collection Care, Disaster management and salvage: http://www.bl.uk/aboutus/stratpolprog/collectioncare/publications/booklets/salvaging_library_and_archive_collections.pdf
- Report theft or vandalism to the police as soon as possible.
- Contact the Sales Monitoring team at The National Archives to provide details of stolen archives. sales@nationalarchives.gsi.gov.uk . We monitor sales of archives and documents, providing information could help find and recover your stolen archives.
- Contact the Art Loss Register to provide details of stolen archives: www.artloss.com/content/home . The register is a not-for-profit organisation for registration and supporting the recovery of stolen art, antiques and collectable material.
Protection from fire, flood and theft along with planning for what to do if the worst happens will protect your archives from major risks and help prevent major damage or loss.
The following sections look at what can be done to further improve the care of your archives, and at low or no cost. They include taking control, improving storage and supporting safe access.
2.3 Taking control
2.3.1 Provenance and original order
Archivists apply the 2 principles of ‘provenance’ and ‘original order’ when managing their collections. These principles should be the foundations for all the activities you carry out on your archives. You need to understand how and where your archives were created and how they are ordered before you take steps to improve how they are kept and cared for.
Provenance Provenance means the history of ownership related to a group of records or an individual item in a collection. For archives, this means the creators and any subsequent owners of the records and how the records relate to each other. Preserving information on these relationships is essential as they provide evidence of how and who created and used the records before they became part of the archives. Provenance provides essential contextual information for understanding the content and history of an archival collection. ³
Original order
______________________________________________________________________
³ As described in further detail in Jackie Bettington et al (editors) Keeping Archives (Australia: Australian Society of Archivists 2008), p.16
\<page_number>Page 7 of 24\</page_number> Archives are kept in the order in which they were originally created or used. It is essential to understand this when working with archives so that this original order is preserved. This original order allows custodians to protect the authenticity of the records and provides essential information as to how they were created, kept and used. Sometimes this original order has been lost through poor handling or 're-sorting'.
Unlike books, archival records are not understood on their own as individual items. Their meaning comes from their relationships with other records and the people or organisations that created and used them. When archives are listed or 'catalogued', as described at 1.2 below, the aim is to describe and preserve these relationships.
**2.3.2 Listing and cataloguing**
Detailed cataloguing is a worthwhile though time consuming process. Many established archives have backlogs of material waiting to be catalogued, so you are not alone if you do too. If you do not have time or resources to catalogue everything in detail now, you should set time aside to make a quick box, file, volume or item list if you do not already have one.
- This gives you an overview of the contents of the collection.
- It allows you to make a quick assessment of any major issues with the condition of the material or any special storage needed because of its format (e.g. photographs, textiles, audio-visual or digital material).
- It allows you to identify material that might be particularly significant for research and it enables you to spot any material that might need special access restrictions.
- When material is listed, it allows you to take physical and intellectual control of it – it is like stock control in a shop.
- And when you provide access, it safeguards material, as you know what you have and what you are making available to researchers.
**How to make a quick box list**
- Have ready: Pencils, paper with form or boxes to fill in.
- Have clean hands and a clean, dry area to work in.
- Set aside some time when you will not be disturbed or interrupted.
You can begin the listing by box number, title (even if that is a little sketchy) and number of boxes. You can label boxes with pencil or with slips of paper inserted in the boxes. Never use sticky notes or labels on archival records themselves as they cause damage. Use slips of paper to label bound volumes.
<table>
<thead>
<tr>
<td>Box / volume numbers</td>
<td>Title</td>
<td>Number of boxes / volumes</td>
<td>Box contents</td>
<td>Covering dates</td>
<td>Notes on problems / condition</td>
</tr>
</thead>
<tbody>
<tr>
<td>00001-00007</td>
<td>Apples and Pears, Grocers</td>
<td>7</td>
<td>Business records</td>
<td>Not known</td>
<td>None</td>
</tr>
<tr>
<td>Box / volume numbers</td>
<td>Title</td>
<td>Number of boxes / volumes</td>
<td>Box contents</td>
<td>Covering dates</td>
<td>Notes on problems / condition</td>
</tr>
</tbody>
</table>
<sup>4</sup> As described in further detail in Jackie Bettington et al (editors) *Keeping Archives* (Australia: Australian Society of Archivists 2008), p.18
\<page_number>Page 8 of 24\</page_number>
<table>
<tr>
<td>00001-00012</td>
<td>Ms Enid Example</td>
<td>12</td>
<td>papers</td>
<td>c1890-1950 (rough dates)</td>
<td>Box 2 diaries loose bindings and previous water damage.</td>
</tr>
<tr>
<td>00013</td>
<td>Mr Ernest Example</td>
<td>3 volumes (photograph albums)</td>
<td>Photographs, with some letters and postcards</td>
<td>1935-1945</td>
<td>Vol 3 some photographs loose.</td>
</tr>
</table>
A simple listing task may also give you a chance to clean your storage area and check for evidence of any pests.
If you have time, you can produce more detailed catalogues of your records. This is covered in more detail at section 3.3.
**2.4 Improving storage**
**2.4.1 Archives need to be stored in conditions which are cool, dry and seasonally stable, with minimum exposure to natural or artificial light and protection from pests, pollution and access by unauthorised people. Making a quick assessment based on the 'how to' guidance below will allow you to identify any immediate needs or risks and to plan how to tackle them.**
The archive storage area should be maintained and used only as a store. This will help to maintain security, environmental stability and light levels.
Any archive store should allow for expansion space for additions to the collection. It also needs extra space to allow for repackaging, which can mean that the collections take up more space than they did before.
**2.4.2 Storage – rooms**
- Look at your storage area – is it clean, dry and secure? It should be.
- Always clean without chemicals or water, using a vacuum cleaner where possible.
- Vacuum cleaners should have good filters to avoid spreading more dust around your storage area. ‘HEPA’ filters are even better as they catch a larger amount of very small particles, leaving the area cleaner.
- It is a good idea to wear a dust mask whilst cleaning the storage area. In the UK these are categorised as FFP2 or FFP3, providing industry standard protection. Please see Health and Safety Executive information on disposable dust masks for more information: http://www.hse.gov.uk/agriculture/dustmasks.htm
- Are the doors (and windows) lockable and secure? They must be to prevent uncontrolled access, damage, disorder or theft.
- Are repairs to the storage area needed? Check the ceilings, corners, walls – are they clean and sound; is there evidence of damp, cracks, damage or deterioration?
- When repairs are being made, store the archives in another secure place. Chemicals in paint and
\<page_number>Page 9 of 24\</page_number> other decorating materials can affect archival materials as they release gases. Avoid oil based paints. Take care to minimise dust and debris while rooms are refurbished.
- The archive store should include a strong, load bearing floor to take the weight of the archival collections, the packaging and shelving.
- If you know or think there are hazardous materials in your collections or you find evidence of mould, seek specialist advice from a conservator. See section 4.3
**2.4.3 Storage – cupboards**
- Look at your storage cupboard – is it clean, dry and secure? It should be.
- Always clean without chemicals or water, using a vacuum cleaner where possible. It is a good idea to wear a dust mask whilst cleaning the storage area.
- Is the cupboard made of strong materials and fixed to an interior wall? It should be.
- Is the cupboard lockable and secure? It should be to prevent uncontrolled access or theft.
- Wood can give off acetic acid, which causes chemical damage to archives and can make them deteriorate faster. Newer wood usually gives off more acetic acid. Older wood can give off less, but continues to give off acetic acid over time. If you cannot replace wooden shelving in the short term, it should be sealed with at least 3 coats of water-based acrylic varnish, and allowed to dry thoroughly.
- Air circulation is important – allowing circulation of air within the cupboard to avoid pockets of high humidity, whilst preventing dust or pests from entering.
**2.4.4 Storage – shelving**
- Shelving should preferably be open metal racking which is secured to the floor and ceiling. It should not be fixed directly to exterior walls to prevent damp.
- Wooden shelving or cabinets sealed and treated with fire resistant solvent-free paint or water based varnish is acceptable for boxed material or bound volumes. Wood can give off acetic acid, which causes chemical damage to archives and can make them deteriorate faster. Newer wood usually gives off more acetic acid. Older wood can give off less, but continues to give off acetic acid over time. Metal shelves are the best option. If you cannot replace wooden shelving in the short term, it should be sealed with at least 3 coats of water-based acrylic varnish, and allowed to dry thoroughly, as noted at 2.4.3.
- Open shelves allow circulation of air and allow easy inspection and cleaning. The lowest shelf should be around 15cm from floor level to allow air circulation and help prevent damp. Standard shelving units should not be more than 200cm high.
- The top of the shelves should be at least 30cm from overhead lights to prevent heat damage to documents stored at high levels.
- Shelving should be open-fronted and easy to access. The shelves should be large enough to fully
\<page_number>Page 10 of 24\</page_number> support the archives stored on them. (For example large maps or plans, large or heavy boxes, and multiple boxes.)
- Importantly, shelves should be strong enough to fully support the weight of the materials placed on them. Free standing shelving units should be suitable for that purpose. Other shelving units should be fixed to the walls, ideally with an air gap.
**2.4.5 Storage – packaging**
- Packaging is an extra layer of protection for archives. It should protect the contents from light and pollution. It also provides some protection from damage, pests, and changes in light or humidity.
- Use archival boxes, folders, sleeves and other packaging materials wherever possible. Archival boxes and packaging are low in acid and lignin and designed to protect the archives to professional standards.
- If you cannot afford archival-quality boxes or packaging, use clean, lidded cardboard boxes for temporary storage. Cardboard ‘file storage’ boxes or file folders can be used for short-term storage.
- Always label boxes clearly, including covering dates, so that you know what they contain.
- Never over-fill boxes; especially where this makes them too heavy to handle. This can cause damage to the contents and is a health and safety risk to staff.
- If you cannot buy storage boxes or folders straight away, the boxes from photocopy paper may be used for temporary storage. These are only a temporary solution, but can provide some protection from physical damage, dirt, dust and light.
- Never re-use cardboard boxes which have contained food as these can attract pests.
- Photographs and fragile single documents should be stored in archival polyester pockets or sleeves. Brand names include Melinex, Mylar and Polymex.
- Silver safe paper can be used in between pages in photograph albums to protect photographs.
- Temporary packaging should be replaced with archival packing as soon as possible. Archival boxes and folders which are delivered flat packed are the cheapest to buy.
We cannot recommend individual suppliers of archival packaging, though companies include: Conservation by Design www.conservation-by-design.co.uk/ Preservation Equipment Limited www.preservationequipment.com/ G Ryder and Company Ltd www.ryderbox.co.uk/ Conservation Resources www.conservationresources.com/
**2.5 Supporting safe access**
**2.5.1 Personal and confidential information** Not all archives are suitable for immediate access. If they contain personal information about living people or information that is confidential for some other reason, you may need to restrict access to them. If in doubt, it is better not to make the restricted or confidential material available to others until you have had a chance to consider it further and consult the relevant people and legislation. Guidance is available online on handling personal information covered by the Data Protection Act; see the code of practice at: nationalarchives.gov.uk/documents/information-management/dp-code-of-practice.pdf
\<page_number>Page 11 of 24\</page_number> If you are a public sector organisation, you may find that the archives are covered by the Freedom of Information Act or the Environmental Information Regulations, both of which provide a right of access for members of the public, with some specific exemptions. If so, you can refuse access only if one of the exemptions in the Act or the Regulations applies. Guidance on these exemptions is available online on the Information Commissioner’s website: www.ico.gov.uk. If you need specific information on how any of this legislation applies to your archives, please contact Archives Sector Development asd@nationalarchives.gsi.gov.uk for further guidance.
**2.5.2 Providing access**
Handling and access is a major risk to the safety of documents. Always supervise people who view your archives, even in a private collection, and provide guidance on basic document handling. You should also restrict the types of items researchers can take into your reading room or library area if you have one. Anyone who uses your archives must handle them carefully.
Examples of ‘reading room rules’ can be found online which may help you. The National Archives’ welcome leaflet has a simple list of what can and cannot be taken into reading room areas: nationalarchives.gov.uk/documents/tma-welcome-leaflet.pdf A more detailed list of reading room rules is available online here: nationalarchives.gov.uk/documents/rules.pdf (Please see points 10-24 and appendices 4a and 4b.) In general anything which can conceal, damage or be confused with the records and any food and drink should be excluded from the area where archives are stored or looked at.
**2.5.3 Safe Access - Handling**
- Don’t take risks
- Handle archives as little as possible
- Ensure hands are clean and dry
- Examine archives for signs of damage before making them available
- Use only pencil for taking notes
- Never use adhesive stickers to mark pages (or ‘Post it’ type sticky notes)
- Use soft, flexible weights to hold pages in place
- Never moisten or lick fingers to turn pages
- Be careful when moving heavy items. always use a trolley
- Never carry heavy, awkward or large items on your own. This protects you and the documents.
- Support documents at all times – large items need a large table. Bound volumes (bound together like books) need supports such as foam wedges or pillows so that they don’t open too far and damage the spine and pages. Padded strip weights can help prevent keep plans or volumes with over-light bindings from curling upwards while being displayed or consulted.
- Have a clean, flat work space away from hazards ready before bringing out the archival material.
- Photocopying and scanning can cause damage to documents through exposure to strong light and closing the lid to flatten the document. If you must copy in this way, copy once only and keep the photocopy or digital scan to make other copies from. Document feeder trays on photocopiers and scanners can damage original documents and should not be used.
**2.5.4 Safe Access – Supervision**
<sup>5</sup> The National Archives’ Document handling guidance includes photographs of wedges and padded weights with advice on handling different kinds of documents. It is available online here: nationalarchives.gov.uk/visit/document-handling.htm
\<page_number>Page 12 of 24\</page_number>
- Always supervise anyone who is viewing the archives
- Have a designated area where archives are produced for viewing
- The area should be clean, tidy and well presented
- The area should be easy to supervise whilst not hindering researchers
- Researchers should not be allowed into the storage areas
- Keep records of researchers and the archives they have viewed.
**3. Next Steps in archives**
This section of the guide includes more detail on managing your archive, and where to find additional information and further help.
**3.1 Storage conditions and preservation**
**3.1.1** In section 2 we identified some of the main risks to archives and how to deal with them. Poor storage conditions can also put archives at risk. Archives need to be stored in conditions which are cool, dry and stable, with minimum exposure to natural or artificial light. They also need to be packaged adequately and handled carefully. Providing good storage conditions slows down deterioration over time and helps to prevent damage from dirt, mould or pests.
**3.1.2** Poor environmental conditions, inadequate packaging and handling arrangements will encourage deterioration of the archive over a prolonged period of time. There is a British Standard for the storage of archive material (PD 5454). It is the *ideal which all established archive services aim for*. In general, PD5454 recommends a cool, quite dry, stable environment to store archives.(^6) The Standard is described here: http://www.nationalarchives.gov.uk/documents/information-management/environmental-management.pdf
**3.1.3** Making a quick assessment based on the boxes below will help you to identify any needs or risks and to plan how to tackle them.
**3.1.4 Storage environment**
- High temperatures and high relative humidity speed up chemical changes in from the materials stored in your archive. This speeds up degradation. ‘Relative humidity’ is the amount of moisture in the air at particular temperatures; measuring it tells us how moist the air is in a particular room or area.
- Changes in temperature and relative humidity can also increase degradation of the materials stored in your archive. The greater the frequency and rate of change, the greater the speed of degradation.
______________________________________________________________________
(^6) British Standards Institute, PD 5454 Guide for the storage and exhibition of archival materials. http://shop.bsigroup.com/ProductDetail/?pid=000000000030228041
\<page_number>Page 13 of 24\</page_number>
- A stable environment where the temperature and humidity does not change much is best. An attic space can reach extremes of temperature and relative humidity and the conditions change frequently. Attics cannot be easily monitored or accessed, so should not be used for storage.
- When relative humidity is above 65%, mould can germinate and spread through collections causing extensive damage.
- Paper and parchment should not be stored below 40% relative humidity for long periods of time as it can become dry and brittle. This increases the risk of damage through mis-handling.
- Photographs and film benefit from storage at a lower relative humidity of 30-35%.
- Always avoid natural light from outside in your storage area. All windows, rooflights and other glazing should be adequately covered. Ideally an archive store contains little or no glazing.
- Keep lights on for a minimum amount of time, and only when staff are inside your storage area.
**3.1.5 Protecting archives**
- You can protect archives against deterioration over time by using archival packaging which provides an additional level of protection against changes in environmental conditions and a first line of defence against fire, water, light, dust, and pests.
- Other adaptations to bring your storage closer to PD 5454 include: improvements to ventilation; improvements to air circulation; pest monitoring; screening windows to avoid ultra violet light; and structural improvements to buffer changes in temperature and relative humidity.
- Simple equipment can be installed to monitor insect (and rodent) pests, temperature and relative humidity. These are available from a range of specialist suppliers, as listed at 2.4.5.¹
- Intruder alarms can be installed to provide a deterrent to break-ins. These are most effective when remotely monitored. These systems can include remote smoke, heat, carbon monoxide and flood detection which allow a prompt response when incidents happen.
- Filtered air removes large particles of dust and pollution in the air, preventing them from causing damage to the archives. This requires mechanical systems and costs of installation, running and maintenance, that need to be considered
- If you look after an archive collection and storage area in an organisation, you can discuss preservation and prevention, along with any conservation and repair needs with your management team. The aim is to secure more funding and help to look after your archive now and for the long-term future.
**3.2 Records Management and Archives**
**3.2.1** The first purpose of managing records is to meet the business or operational needs of an organisation or person, allowing it to function effectively. While the records are meeting these needs they are in 'active use.' When they are no longer needed in active use, they are reviewed to decide which should be selected to become part of an archive collection. This cultural and historical research value is their second purpose.
______________________________________________________________________
¹ We cannot recommend individual suppliers of archival packaging, though companies include: Conservation by Design www.conservation.by.design.co.uk Preservation Equipment Limited www.preservationequipment.com/ G Ryder and Company Ltd www.gryderbox.co.uk Conservation Resources www.conservationresources.com/
\<page_number>Page 14 of 24\</page_number> 3.2.2 Records that are not selected for permanent preservation should be destroyed when no longer needed. Remember that if they contain sensitive or confidential material they must be destroyed securely – they should never be disposed of with general waste or recycling. *Never destroy or dispose of older historical records, or any records which you are not sure whether to keep.* Record keeping decisions need to be carefully managed, documented, and signed off by a senior person in your organisation or group.
3.2.3 It will be useful to do a survey of your organisation or group to find any historical records that are kept in other places such as offices or other storage areas. You can review these for significance. Any records selected for the archive can be moved to your central storage area. This is also a chance to survey the records being created now and how they are structured. If they are well managed now, it will be easier to review and select them for your archive in the future.
3.2.4 Further information on records management is available online here: nationalarchives.gov.uk/information-management/projects-and-work/implementation-guides.htm. These are a series of guides, beginning with Guide 1: *What is records management*. The guides were written to help people in the public sector comply with the records management code. They are useful for anyone needing an introduction to records management, good practice and how it applies in an organisation. You can also find a short guide on what to keep for smaller organisations online here: http://nationalarchives.gov.uk/documents/archives/what-to-keep-and-why.pdf
3.2.3 Structure, function and activities Looking at the structure, function and activities of the organisation or person may help to make sense of the structures found in collections of archival records. The table below has 2 examples of how records might be produced by the function and activities of an organisation and of a person. They show how records are produced by these activities and have a 'logical' order.
<table>
<thead>
<tr>
<th>Structure</th>
<th>Function</th>
<th>Activities</th>
<th>Records</th>
</tr>
</thead>
<tbody>
<tr>
<td>Community Support Group<br>• Committee<br>• Support team<br>• Admin team</td>
<td>• Community Support</td>
<td>Fundraising<br>Publicity<br>Community visits<br>Community events<br>Administration</td>
<td>Financial records<br>Marketing material<br>Records of visits<br>Planning, minutes, feedback<br>Correspondence</td>
</tr>
<tr>
<td>Professional writer<br>• Books<br>• Articles<br>• Publishing</td>
<td>• Writing</td>
<td>Writing<br>Administration<br>Publicity<br>Events</td>
<td>Working papers<br>Correspondence and diaries<br>Marketing materials<br>Speaking notes</td>
</tr>
</tbody>
</table>
3.3 Cataloguing and arrangement 3.3.1 Records selected for preservation as archives should not be re-arranged just because they are being kept for a different purpose. Their original structure and arrangement should be respected as far as
\<page_number>Page 15 of 24\</page_number> possible, in accordance with the principles of provenance and original order mentioned in section 2. For example, the minutes of a committee are likely to have been kept together and should continue to be kept together and catalogued as one series of records, arranged by date. Sometimes archival records have become mixed up over time and may have lost their original order. As you work through them, you may be able to recover some of this order and make more sense of their structure.
3.3.2 Cataloguing gives you an opportunity to document and check the contents of collections, identify any records which are particularly interesting and also any which should not be open for research for the reasons explained at paragraph 2.5.1. For archives open for research, describing what you have and even publishing catalogues online will enable potential researchers to complete their initial investigations before they visit you. Importantly, it also allows researchers to discover what you don’t hold in your collections, avoiding unnecessary enquiries.
3.3.3 Document Management Systems which are designed for the general sharing of administrative and business records are not usually a suitable product for cataloguing archive material. Specialist cataloguing software is available, some of which can be downloaded free of charge. The International Council on Archives provides ICA-AtOM a web-based open source software: http://ica.atom.org/, State Records News South Wales, Australia, provides Tabularium, a Microsoft Access database application designed for collection management, including cataloguing: http://tabularium.records.nsw.gov.au/ Alternatively you can use ordinary office software to catalogue your archives. For example, you can use tables in Microsoft (MS) Word to structure the descriptive information as outlined in the box below. These features can be used to create a level of description for each record with a sequence of items and descriptions following in a list. You can then convert the list to PDF format for publication online. You can even upload catalogues created in Word into professional archival cataloguing systems.
**3.3.4 Cataloguing archives**
Archives catalogues use a hierarchical structure with details of the collection at the top level, then series piece, and documents. Information in cataloguing is organised into units of information such as ‘Name of creator’ and ‘Dates of creation’. The technical term for these categories is ‘field’.
You can adopt the General International Standard Archival Description, ISAD (G) for cataloguing in a hierarchical structure. The essential fields are:
- Reference code
- Title
- Name of Creator
- Dates of Creation
- Extent of Unit of Description (quantity) and
- Level of Description (where you are in the hierarchy).
Further information is available on the International Council of Archives website. It provides general guidance for the preparation of archival descriptions: http://www.ica.org/en/isadg-general-international-standard-archival-description-second-edition A simple example of a catalogue structure is below.
<table>
<thead>
<tr>
<th>Reference code</th>
<th>Title</th>
<th>Name of creator</th>
<th>Scope and content</th>
<th>Dates of creation</th>
<th>Extent</th>
<th>Level of description</th>
</tr>
</thead>
<tbody>
<tr>
<td>APP1/1-APP1/7</td>
<td>Records of Apples and Pears, Grocers</td>
<td>Apples and Pears, Grocers</td>
<td>Records of Apples and Pears, Grocers,</td>
<td>1955-1962</td>
<td>7 boxes</td>
<td>Series</td>
</tr>
</tbody>
</table>
\<page_number>Page 16 of 24\</page_number>
<table>
<tr>
<td></td>
<td></td>
<td>Cutler Street, Sheffield.</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>APP1/1</td>
<td>Delivery records</td>
<td>Apples and Pears, Grocers</td>
<td>Box 1 Receipts and delivery notes 1955-1957</td>
<td>1955-1957</td>
<td>1 box</td>
<td>Piece</td>
</tr>
<tr>
<td>APP1/1/1</td>
<td>receipts</td>
<td>Apples and Pears, Grocers</td>
<td>Receipts June-September 1955</td>
<td>1955</td>
<td>1 file</td>
<td>Item</td>
</tr>
</table>
**3.4 Funding and Sustainability**
**3.4.1 An archive needs a consistent and reliable commitment of resources and the first step to secure this is a specific archive budget for conservation materials, equipment and other archive expenses. Without these resources, the collection is unlikely to reach its full potential, to continue to grow and be effectively preserved. They are more likely to be provided if you can show that the archive can contribute to your corporate identity and support your organisation’s activities.**
**3.4.2 Funding for archives**
Funding can come from inside or outside your organisation.
Prepare details of the contents, value and needs of your archive so that you can convince the management team you report to that funds should be provided to look after the archive for the future.
External funders may support your archive for specific projects or packages of activity. Funding guidance is available online here: http://www.nationalarchives.gov.uk/archives-sector/finding-funding/ This includes advice on how to make a case for fundraising, and information on funding schemes and sources.
If you have further questions on funding, please contact Archives Sector Development: asd@nationalarchives.gsi.gov.uk
**3.5 Benefits from managing your archives**
**3.5.1 There are a number of benefits that flow from managing your archives. Firstly, they provide evidence of your various activities and your wider accountability to Society in relation to a wide area of responsibilities. Examples include demonstrating compliance with child protection regulations and the requirements of the Charity Commissioners. Archives also help to market and promote your organisation’s history, activities and brand identity to potential supporters, users and customers. For this reason your archive ideally should reflect the true complexity and diversity of your organisation’s activities. The archive**
\<page_number>Page 17 of 24\</page_number> can also be used to support your contemporary activities, provide a source of images for the corporate website and educate colleagues and the wider community on the history and identity of your organisation.
**3.5.2 Policies and Standards**
Policies and standards are produced to support the long-term sustainability of archives, wherever they are kept. Together, they provide the principles and practice to shape how work is done to best effect, making the best use of the available resources. Policies can be internal or external. Internal policies are intended to support your mission or your collecting remit. External policies are intended to support the wider archive sector. Standards for archives are usually external and cover all aspects of managing archives; they are a means to measure best practice and to deliver policy aims.
Archive Service Accreditation is the UK standard for archive services. Standards schemes and frameworks help archives to manage and improve their efficiency and effectiveness through external validation, and by identifying good practice. Archive Service Accreditation also enables The National Archives to fulfil our statutory functions relating to *Places of Deposit*. Further information is available online here: http://www.nationalarchives.gov.uk/archives-sector/archive-service-accreditation/
**3.5.3 Collection Development**
The National Archives is supporting a framework of collection strategies to ensure that records of events and of the lives and activities of individuals and communities, and of public, private and charitable organisations are:
- being kept
- preserved efficiently and effectively
- made easily available and widely accessible
The strategies support collection development for archives which have meaning and impact for their context and user communities. Further information is available online at: nationalarchives.gov.uk/information-management/policies/collection-strategies.htm
**3.5.4 Promoting archives**
Explore your Archive provides tools and resources to promote local, independent, specialist, national archives across the UK and Ireland, celebrating the wealth of archive material available to the public: http://exploreyourarchive.org/
**3.5.5 Support and guidance from The National Archives**
- All of our information for the archives and cultural heritage sector, including our newsletter, Archives Sector Update can be found here: nationalarchives.gov.uk/archives/
- Support available to private archives (including clubs, societies and secretariats): nationalarchives.gov.uk/archives/advice_private_owners.htm
- Support in caring for archives is available here: nationalarchives.gov.uk/archives/caring_for_records.htm
- There is an A-Z guidance section on our website; archive management will be of particular
\<page_number>Page 18 of 24\</page_number> interest: nationalarchives.gov.uk/information-management/guidance/a.htm , along with disaster management: nationalarchives.gov.uk/information-management/guidance/d.htm
- Framework of standards, including records storage, public access and cataloguing: nationalarchives.gov.uk/archives/framework.htm
**3.5.6 Digitisation**
Digitisation is the creation of digital copies of records that originated in traditional physical formats such as paper, parchment, photographs, film and sound and video. Many archives are beginning to digitise their collections to protect originals from regular handling; to provide wider access to collections, or in response to technical change. Guidance on image formats for digitisation is available here: nationalarchives.gov.uk/documents/information-management/digitisation-image-specification.pdf
In some cases archives work with commercial partners to digitise their collections. General guidance on this is available here: nationalarchives.gov.uk/information-management/guidance/d.htm. You can also contact Licensing at The National Archives for specific advice on digitisation with third parties, including selection, length of and terms of agreement: associates@nationalarchives.gsi.gov.uk
One aspect to be aware of is intellectual property. Before digitising material in your collections you need to ensure that you own the copyright and other rights in the records. If the copyright belongs to someone else, you may need to arrange copyright clearance with the rights owners. A detailed explanation of copyright and related rights is available online here: nationalarchives.gov.uk/documents/information-management/copyright-related-rights.pdf
**3.5.7 Digital Archives and Preservation**
Many types of records and information are now created or 'born' digitally; including emails, word processed documents, spreadsheets, photographs, video and websites. Digital records need to be actively managed in storage, so that they remain accessible and usable into the future. Storage alone is not a solution to digital preservation and a regime of regular preservation actions is needed to ensure they remain viable over time.
Digital archives systems are used to store and manage digital records and information. They may be complex server-based systems for large quantities of information, or regimes of managing preservation of data on media such as CDs, DVDs and external hard-drives.
Digital Preservation for an archive collection is a complex area of work which requires at least some level of technical knowledge, and ideally access to more advanced expertise.
It is important to note that uploading digital or digitised assets to the internet alone does not preserve them; though it is a powerful means of providing access. The Museums, Library and Archive Council have produced some useful guidance, 'Advice for community archives on web archives' which includes a 7-point checklist of aspects to help preserve digital assets over time. It is available online here: www.mla.gov.uk/webprogrammes/mmedia/files/pdf/2010/programmes/Guidelines_for_online_community_archives
The National Archives has produced a set of 'frequently asked questions' to support people in caring for digital records and archives. These are available here: nationalarchives.gov.uk/information-management/projects-and-work/digital-preservation-faqs.htm
Guidance on digital preservation policies is available here: nationalarchives.gov.uk/documents/information-
\<page_number>Page 19 of 24\</page_number> management/digital-preservation-policies-guidance-draft-v4.2.pdf
Digital Preservation Europe has an introduction to digital preservation available online: www.digitalpreservationeurope.eu/what-is-digital-preservation/
The National Library of Australia provides details of the critical elements of digital preservation online: www.nla.gov.au/digital-preservation/critical-elements
**3.6 Decisions on long term custody**
If long term preservation of your archives is not practical for you, you might consider depositing them with an established archive service to secure their long term safe keeping. There are benefits to this route as an established archive service is best placed to store, preserve and provide access to archival collections for the long term.
Deposit with an established service may be particularly appropriate for material which needs specialist care, such as moving image and sound recordings, textiles, and photographs.
**3.6.1 What you can do**
You can search for archive services within your region or area of collecting interest on ARCHON, the contact directory for archive repositories and institutions in the UK: nationalarchives.gov.uk/archon/ You can search by area, for example ‘Norfolk’. You can search by specialist theme, for example, ‘film’ or ‘photography’.
The directory has contact details for each organisation. It may be useful to contact them if you are considering deposit with an established archive service.
The National Archives has issued guidance on deposit agreements: nationalarchives.gov.uk/documents/information-management/loanagreement.pdf
**4. Useful information**
**4.1 Other published guidance**
Collections Link brings together useful guidance on a range of subjects for archives: www.collectionslink.org.uk/index.cfm?c=SearchHome&tagList=130
The Preservation Advisory Centre at the British Library provides regular courses (some of which are free of charge): www.bl.uk/blpac/index.html . They also publish a broad range of useful guidance: www.bl.uk/blpac/publicationsleaflet.html
British Library, Preservation Advisory Centre, *Basic Preservation* www.bl.uk/blpac/pdf/basic.pdf
British Library, Preservation Advisory Centre, *Building Blocks for a Preservation Policy* www.bl.uk/blpac/pdf/blocks.pdf
Museums, Libraries and Archives Council, *Benchmarks in Collection Care* www.mla.gov.uk/~media/Files/pdf/2002/2002_Benchmarks_in_Collections_Care_Resource
\<page_number>Page 20 of 24\</page_number> UNESCO, Memory of the World. General Guidelines to Safeguard Documentary Heritage unesdoc.unesco.org/images/0012/001256/125637e.pdf
The National Archives, Protecting archives and manuscripts against disasters (2004) nationalarchives.gov.uk/documents/information-management/memo6.pdf
The National Archives, Standard for Record Repositories nationalarchives.gov.uk/documents/information-management/standard2005.pdf
**4.2 Audio-Visual Preservation**
**4.2.1** Many non-specialist archives hold audio-visual material in their collections. This includes moving image and sound recordings which may be in many different formats from film, video, tape and vinyl to DVD and digital files. A range of advice is available to support you in caring for these specialist collections.
The Archives and Record Association has guidance for Film and Sound Archives in non-specialist repositories: www.archives.org.uk/images/Film_BPG.pdf www.bl.uk/about/policies/endangeredarch/pdf/08guidelines_film.pdf
Basic Principles of Film and Video Preservation and Conservation are available on the Collections Link website: www.collectionlink.org.uk/index.cfm?c=assets.assetDisplay/title/Basic%20Principles%20of%20Film%20and%20Video%20Conservation%20and%20Preservation/assetId/384
PrestoSpace is a project working to improve and standardise practice for audio-visual material. A useful preservation guide is available online: http://wiki.prestospace.org/pmwiki.php?p=Main_NavigationGuide
The Preservation Advisory Centre has a guide to Photographic Materials which includes moving image film: http://www.bl.uk/blpac/pdf/photographic.pdf
**4.3 Specialist advice**
**4.3.1 Finding a conservator** Assessment and repair of archives in which are damaged or fragile is a job for an expert; never attempt temporary repairs with unsuitable materials. Items which are in poor condition should be carefully placed in boxes or folders, and not made available to researchers until they have been treated or repaired. The National Archives provides details on finding a conservator: nationalarchives.gov.uk/information-management/projects-and-work/consulting-a-conservator.htm
**4.3.2 Finding an archivist** Consultant archivists work on a freelance basis and are available on a short term basis to carry out specific packages of work. These activities include surveying collections, cataloguing, recommendations and guidance, packaging, preservation and so on.
You might also consider employing an archivist for a specific period of time to address particular aspects of managing or caring for your collections. There is a JISCMail discussion list for archivists and records managers, which may be useful for inviting interest in your requirements. Items posted to the list are circulated by email: www.jiscmail.ac.uk/cgi-bin/webadmin?A0=archives-nra
\<page_number>Page 21 of 24\</page_number> **4.4 Archival networks**
Joining a network enhances an organisation’s online presence and potentially opens up dialogues with archivists and information management professionals working in similar circumstances.
**4.4.1 Find an Archive is a directory of contact details and locations of for archive repositories and institutions:** [discovery.nationalarchives.gov.uk/find-an-archive](http://discovery.nationalarchives.gov.uk/find-an-archive) It also provides archive repositories with a unique repository code which can be used in ISAD G compliant cataloguing: [www.icads.org.uk/eng/ISAD(G).pdf](<http://www.icads.org.uk/eng/ISAD(G).pdf>) (*General International Standard Archival Description, Second Edition p13, 3.1.1. Reference code*).
New *Find An Entry* can requested by completing an online form: [https://www.nationalarchives.gov.uk/contact/contactform.asp?id=21](https://www.nationalarchives.gov.uk/contact/contactform.asp?id=21) This will give you a *Find an Archive* entry and code. Having *Find an Archive* entry and code is the first step to joining an archive network, as networks ask contributors to have a unique repository code.
The National Archives’ Discovery catalogue provides the best all round information on archival sources for our history. It is a central point for collecting and sharing information about archive collections held in many places, reflecting the richness, diversity and complexity of our society. It brings together online over 44,000 lists and catalogues describing archive collections held in the UK and overseas: [http://discovery.nationalarchives.gov.uk/advanced-search](http://discovery.nationalarchives.gov.uk/advanced-search)
Repositories on *Find an Archive* often submit lists or finding aids to Discovery, which contains information on archive collections held in many places. If you are interested in submitting collection level catalogue information to be shared on Discovery, please contact Archives Sector Development: [asd@nationalarchives.gsi.gov.uk](mailto:asd@nationalarchives.gsi.gov.uk)
**4.4.2 As well as the online resources maintained by The National Archives there are also several other networks which provide online access to descriptions of archival collections in the UK. These include the Archives Hub, Archives Wales, SCAN and Genesis. Workshop and training days are organised for existing and new participants.**
\*\*4.4.4 AIM25 is a network which has a specific remit for providing electronic access to collection level descriptions of the archives of over one hundred higher education institutions, learned societies, cultural organisations and livery companies within the greater London area. Contributors range from large repositories like London Metropolitan Archives to smaller specialist repositories such as the **Association of Anaesthetists of Great Britain and Ireland**.
**4.4.5 Contributing to a network such as AIM25 can be a useful method of generating descriptions of holdings in a structured way, in compliance with international cataloguing standards. It is a useful tool to use if you do not have access to an electronic catalogue, as contributors gain access to an online system which allows them to complete collection level descriptions. These descriptions are published on the AIM 25 website, linked to access information on the *Find an Archive* directory. The directory has clear information on where collections are held, and how to access them, including any restrictions.**
**4.4.6 Archives Hub provides a gateway to over 180 archival collections held across the UK. It complies with the General International Standard Archival Description (ISAD (G) cataloguing and indexing standards. You need to provide the Hub with descriptions in Encoded Archival Description (EAD). You can create EAD descriptions using your own software, or using the Hub’s EAD editor. Encoded Archival Description (EAD), is an international standard that promotes interoperability and sustainability. There is an online tutorial for preparing and adding descriptions available at:** [https://archiveshub.jisc.ac.uk/eadeditortutorial/](https://archiveshub.jisc.ac.uk/eadeditortutorial/)
\<page_number>Page 22 of 24\</page_number> **4.5 Professional Organisations and membership**
**4.5.1 Archives and Records Association UK and Ireland** The Archives and Records Association (ARA) is the lead professional body for archivists, archive conservators and records managers in the United Kingdom and Ireland. www.archives.org.uk/
**4.5.2 British Records Association** The British Records Association provides a forum for everyone interested in archives including archivists, historians, and owners of records. It is a clearing house and rescue body for archives to ensure that material of historical interest is deposited with appropriate record offices: http://www.britishrecordsassociation.org.uk/
**4.5.3 Oral history** The Oral History Society provide training, events and advice: http://www.ohs.org.uk/ The Society has a small joining fee and also has useful information on member projects: http://www.ohs.org.uk/latest-news/member-projects/
**4.5.4 Community Archives** The Community Archives and Heritage Group (CAHG) is a national group which aims to support and promote community archives in the UK. There are resources and useful links for community archives on their website: http://www.communityarchives.org.uk/content/resources/resources
West Yorkshire Archive Service have produced useful ideas and tips as part of their Community Archives Accreditation Scheme. You will see that it is has been constructed as a learning exercise. Though the scheme is not still running, there are a range of very useful resources and accessible information: http://www.nowthen.org/assets/files/mp3/CAA%20Scheme%20(2).pdf
**4.5.5 Business archives** The Business Archives Council promotes preservation and access for business archives. Advice on managing business archives is provided on a dedicated website: www.managingbusinessarchives.co.uk/
**4.6 Training Courses and Professional Development**
**4.6.1 The Archives and Records Association Provide a useful section on Training, from introductory and specialist events to continuing professional development and formal archive qualifications** http://www.archives.org.uk/training.html
**4.6.2 Tithe British Library Collection Care department provides regular training courses (some of which are free of charge)** http://www.bl.uk/aboutus/strapolprog/collectioncare/
\*\*4.6.3 There are a range of companies providing a range of training programmes. The Archive Skills Consultancy which has a programme of regular training including Basic Archive Skills: http://www.archive-skills.com/training/index.php ; the University of Dundee, which provides modules for continuing professional development for people working with archives. These modules include An Introduction to the Management and Preservation of Archives; Archives Theory and Management and Archive Administration; Access and Preservation: https://www.dundee.ac.uk/cais/programmes/cpdcourses/. You can also find more examples by searching online.
\<page_number>Page 23 of 24\</page_number> **4.6.4** The Archives and Records Association also have a useful page on careers in archives. It includes a list of University courses, some of which provide single units of study on professional skills. www.archives.org.uk/careers/careers-in-archives.html
**4.7 Useful books**
Jackie Bettington et al (editors) **Keeping Archives** (Australian Society of Archivists 2008). *This is the third edition of this book, earlier editions are also useful.*
Caroline Williams, **Managing Archives: Foundations, Principles and Practice** (Chandos Publishing, 2006)
Helen Ford, **Preserving Archives** (Facet Publishing 2007)
Laura Millar, **Archives Principles and Practices** b (Facet Publishing, 2010)
Geoffrey Yeo, **Managing Records, a Handbook of Principles and Practice** (Facet Publishing, 2012)
**5. Case Studies**
**5.1** Case studies covering a range of good practice for developing and maintaining archive collections and services are available on our website: http://www.nationalarchives.gov.uk/archives-sector/case-studies-and-research-reports/case-studies/
______________________________________________________________________
\<page_number>Page 24 of 24\</page_number>
|
ENGLISH
|
0175-pdf
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Appendices \<page_number>11\</page_number>
<img>NORTHAMPTON BOROUGH COUNCIL logo</img>
**CABINET REPORT**
Report Title: General Fund Revenue Budget and Capital Programme 2018/19 and Medium Term Financial Plan 2018/19 – 2022/23
AGENDA STATUS: PUBLIC
Cabinet Meeting Date: 21 February 2018 Key Decision: YES Within Policy: YES Policy Document: YES Directorate: Management Board Accountable Cabinet Member: Cllr B Eldred Ward(s) NA
**1. Purpose**
1.1 To report the outcome of the consultation process on the 2018/19 General Fund Revenue and Capital Budget and the Government Funding Settlement for 2018/19. 1.2 To agree Cabinet's proposals for recommendation to Council on 26 February 2018 for the 2018/19 General Fund budgets and Council Tax level and the indicative levels for 2019/20 to 2022/23. 1.3 To outline the General Fund Capital Programme and Funding proposals for 2018/19 and future years.
**2. Recommendations**
2.1 That the feedback from consultation with the public, organisations and the Overview and Scrutiny and Audit Committees be considered and welcomed (detailed at Appendices 9, 10 and 11).
Jmd/committees/cabinet report template/14/02/18 2.2 That the changes to the proposed budget (detailed at paragraph 3.2.14), in light of technical adjustments and the Local Government Funding Settlement, be agreed.
2.3 That a General Fund Revenue Budget for 2018/19 of £27.360m (excluding parishes) be recommended to Council for its own purposes (detailed in paragraph 3.2.13 and Appendices 1 and 2).
2.4 That the Council be recommended to increase the Council Tax for its own purposes, i.e. excluding County, Police and Parish Precepts, by £6.37 (2.99%) per year per band D property for 2018/19.
2.5 That the Cabinet recommend to Council that they approve the General Fund Capital Programme and proposed financing for 2018/19, including the inclusion of schemes in the Development Pool, as set out in Appendix 4.
2.6 That Council be recommended to confirm a minimum level of General Fund reserves of £5.5m for 2018/19, having regard to the outcome of the financial risk assessment, and also note the position on earmarked reserves (Appendix 7).
2.7 That authority be delegated to the Chief Finance Officer in consultation with the Cabinet Member for Finance, and where appropriate the relevant Director and Cabinet Member to:
- Transfer monies to/from earmarked reserves should that become necessary during the financial year.
- Update prudential indicators in both the Prudential Indicators Report and Treasury Strategy Report to Council, for any budget changes that impact on these.
2.8 That the draft Fees and Charges set out in Appendix 8 be approved, including immediate implementation where appropriate.
2.9 That Cabinet recommend to Council that they approve the Treasury Management Strategy for 2018/19 at Appendix 5 of this report: incorporating:
(i) The Capital Financing and Borrowing Strategy for 2018/19 including: * The Council's policy on the making of Minimum Revenue Provision (MRP) for the repayment of debt, as required by the Local Authorities (Capital Finance & Accounting) (England) (Amendment) Regulations 2008. * The Affordable Borrowing Limit for 2018/19 as required by the Local Government Act 2003.
(ii) The Investment Strategy for 2018/19 as required by the CLG revised Guidance on Local Government Investments issued in 2010.
2.10 That authority be delegated to the Council's Chief Finance Officer, in liaison with the Cabinet member for Finance, to make any temporary changes needed to
Jmd/committees/cabinet report template/14/02/18 the Council's borrowing and investment strategy to enable the authority to meet its obligations.
2.11 That authority be delegated to the Chief Finance Officer to make any technical changes necessary to the papers for the Council meeting of 26th February 2018, including changes to the Finance Settlement and change relating to Parish Precepts and Council Tax levels associated with those changes.
**3. Issues and Choices**
**3.1 Report Background**
3.1.1 The Council is required to set a balanced budget and it's Council Tax for 2018/19 in February 2018. The proposals in this report have been developed by officers in consultation with Cabinet members and Corporate Management Board.
3.1.2 Cabinet agreed a draft budget in December and the proposals within this have been subject to a period of public consultation and reviewed by both Audit Committee and Overview and Scrutiny Panel. The outcomes of these consultations are set out in Appendices 9, 10 and 11.
3.1.3 The Cabinet report in December set out the national and local economic context and background to the sources of funding that underpin the budget and medium term plan.
**3.2 Issues**
## Local Government Finance Settlement
3.2.1 The draft settlement was published on 19th December 2017 and the final settlement was issued on 7th February 2018. There were no significant changes from the draft settlement. The table below shows the figures and how they compare to those included in the draft budget for 2018/19.
<table>
<thead>
<tr>
<th></th>
<th>Draft Budget – Dec 2017<br>£k</th>
<th>Final Settlement<br>– Feb 2018<br>£k</th>
<th>Change<br>£k</th>
</tr>
</thead>
<tbody>
<tr>
<td>Revenue Support Grant</td>
<td>886</td>
<td>886</td>
<td>-</td>
</tr>
<tr>
<td>Business Rates<br>Baseline</td>
<td>7,826</td>
<td>7,826</td>
<td>-</td>
</tr>
<tr>
<td>New Homes Bonus</td>
<td>3,311</td>
<td>3,082</td>
<td>(219)</td>
</tr>
<tr>
<td><strong>Total</strong></td>
<td><strong>12,023</strong></td>
<td><strong>11,794</strong></td>
<td><strong>(219)</strong></td>
</tr>
</tbody>
</table>
Jmd/committees/cabinet report template/14/02/18 3.2.2 The methodology for calculating central government funding includes an assumption that Council Tax is increased up to the referendum limit of 2.99% in 2018/19. The budget proposals therefore include a proposed increase in the Band D Council Tax of just under 2.99% from April 2018 and £5 per year from 2019/20 onwards.
3.2.3 New Homes Bonus for 2018/19 is lower than forecast in the draft budget due to lower than expected property growth being reflected in the allocation. This is in part due to delays in the valuation office allocating new properties to bands. This will be corrected in future years as and when this unrecognised growth feeds into the taxbase growth figures.
**Medium Term Financial Plan and Efficiency Savings**
3.2.4 The Medium Term Financial Plan provides a forecast of the Council's expenditure and income over the next five years. The forecasts, detailed in Appendix 1, include efficiency and other savings as well as growth requirements.
3.2.5 Cabinet has listened to public feedback in relation to the existing Environmental Services contract and is proposing to invest and prioritise resources to make sure that our town is clean. The new Environmental Services contract, to commence in June 2018, will see a significant improvement in quality standards for street cleaning, grounds maintenance and the collection of refuse and recycling. The quality standards and service specification for the new contract have been informed by the consultation undertaken in 2017. These improvements come at a cost, with a significant increase in budget required. The final budget allows for the increased net cost of Environmental Services and related activities of around £3.2m per annum, plus an additional one-off cost of £2m in 2018/19 for contract mobilisations and to rectify current problems.
3.2.6 In order to mitigate the increased costs of Environmental Services, the Council proposes to purchase the vehicles and other equipment required for delivery of these services, and lease these to the successful contractor. This approach was approved by Cabinet in January, and utilises the lower borrowing costs available to the Council. The cost of repaying this borrowing will be met from an earmarked reserve set aside for the purpose, although the Council may utilise capital receipts for this purpose if they become available in the future. This capital funding by the Council, and utilisation of an earmarked reserve, reduces the net cost of the new contract by an estimated £1.2m per annum.
3.2.7 Other budgetary growth requirements are set out in Appendix 2 and include provision for an enhanced client function to monitor the new contract and funding to extend opening hours at Abington Park museum. Most significantly, funding of £150k is earmarked to fund a reduction in working hours from 40 to 37 per week. This is a reversal of the increase implemented a few years ago, which has had an adverse impact on staff morale and on recruitment and retention, in part leading to the need to cover more vacancies with interim staff.
3.2.8 The MTFP has forecast significant increases in the cost of Environmental Services for several years, and this has meant that compensating savings and efficiencies have been delivered through the workstreams of the Efficiency Plan. Efficiency savings of around £3.5m have been delivered over the last 4 years,
Jmd/committees/cabinet report template/14/02/18 and further efficiencies of over £800k are built into the base budgets for 2018/19. Examples include reducing paper usage through the implementation of a digital strategy and investment in technology, and maximising income generated from the Council's property assets.
3.2.9 Further efficiencies, budget savings and income increases totalling £1.82m are set out in Appendix 2. These include significant savings in management and staffing costs through a process of redesigning the organisational structure to ensure that it meets the needs of the Borough and provides value for money. Additional income of over £1.3m will be generated, most notably through the introduction of a charge of £2 for all-day parking on Saturdays in the Council's multi-storey car parks and Sundays in all car parks. Visitors to the town will benefit from improved town centre cleanliness delivered through the new Environmental Services contract.
3.2.10 By focussing on these areas of savings, the Council will protect services to the most vulnerable residents of the Borough, both those provided directly and those provided through partner organisations. Core grants to the voluntary sector have been protected.
3.2.11 Implementation of the proposed savings listed in Appendix 2 will enable the Council to set a balanced budget for 2018/19 and 2019/20.
3.2.12 The MTFP shows a forecast further savings requirement of £1m to £1.5m each year from 2020/21 onwards. The exact figure is subject to any changes to government funding and other forecast changes to budgets. These further savings can be achieved through the strands set out in the approved Efficiency and Medium Term Financial Strategy, i.e.
- Growth – realising the benefits of growth through the generation of additional business rate income, Council Tax and New Homes Bonus.
- Partnerships – working with other local authorities, private sector and community partners to deliver high quality and cost effective front-line and support services.
- Use of IT/Digital channels – to reduce transaction costs and increase staff productivity through the use of technology.
- Maximise income generation – ensure that income is maximised by setting charges at an appropriate level, as well as increasing demand through effective marketing.
- Review service and staffing structures – to ensure that these are fit for purpose and are appropriate to the Council's changing needs and priorities.
- Investment/commercial opportunities – realising opportunities to undertake appropriate investments that will generate a commercial return.
- Realise opportunities from new Environmental Services contract – the new contract will provide significantly improved quality and provide opportunities to reduce the costs involved in rectifying shortfalls in current service provision.
Jmd/committees/cabinet report template/14/02/18 General Fund Revenue Budget 2018/19
3.2.13 The proposed net budget for 2018/19 is shown in Appendix 1 and summarised in the table below. A balanced budget has been achieved through the Council's prudent financial management and continued commitment to delivering efficiency savings.
<table>
<thead>
<tr>
<th>Description</th>
<th>2018/19<br>£000s</th>
</tr>
</thead>
<tbody>
<tr>
<td>Service Base Budget</td>
<td>27,475</td>
</tr>
<tr>
<td>Proposed Growth</td>
<td>4,250</td>
</tr>
<tr>
<td>Proposed Savings</td>
<td>(1,822)</td>
</tr>
<tr>
<td>Corporate Budgets</td>
<td>67</td>
</tr>
<tr>
<td>Contribution from Reserves</td>
<td>(1,480)</td>
</tr>
<tr>
<td><strong>Net Budget</strong></td>
<td><strong>28,490</strong></td>
</tr>
<tr>
<td>Revenue Support Grant</td>
<td>(886)</td>
</tr>
<tr>
<td>Business Rates</td>
<td>(8,346)*</td>
</tr>
<tr>
<td>New Homes Bonus</td>
<td>(3,082)</td>
</tr>
<tr>
<td>Council Tax</td>
<td>(15,793)</td>
</tr>
<tr>
<td>Collection Fund Surplus</td>
<td>(383)</td>
</tr>
<tr>
<td><strong>Total Funding</strong></td>
<td><strong>(28,490)</strong></td>
</tr>
<tr>
<td><strong>Savings to be identified</strong></td>
<td><strong>0</strong></td>
</tr>
</tbody>
</table>
\*includes baseline shown at para 3.2.1 plus growth of £520k
As part of settling its General Fund Revenue Budget the Council has undertaken a rigorous review of its Service Base Budget. This process has identified £0.8m of efficiency savings and realistic income targets which are included as part of the Service Base Budget.
3.2.14 Further work has been undertaken since December to refine the budget. This includes the impact of the Local Government Finance Settlement and technical adjustments to the continuation budget and corporate budgets. The changes are summarised in the table below:
Jmd/committees/cabinet report template/14/02/18 Summary of Changes since Cabinet December 2017
| | Budget 2018/19 (£) | |---|---| | Environmental Services – net impact | 90,000 | | Increased Savings Forecasts | (260,000) | | Technical Changes to Corporate Budgets | (50) | | Contribution to/(from) Earmarked Reserves | 74,595 | | **Total Changes to Net Budget** | **95,455** |
Changes to Funding
| | | |---|---| | New Homes Bonus – lower allocation | 219,471 | | Collection Fund Surplus | (32,400) | | Council Tax – additional increase | (91,618) | | **Total Changes to Funding** | **95,455** |
Council Tax
3.2.15 As part of the Local Government Finance Settlement, the Secretary of State has set a referendum trigger for 2018/19 of 3% increase in the Band D Council Tax, which will apply for all lower-tier (district and borough) councils.
3.2.16 The Borough Council's draft budget for 2018/19 proposed an increase in Council Tax of £5 per Band D property, this having been the referendum limit in 2017/18. With the lower than expected level of funding from New Homes Bonus, and with inflation running at 3%, the final proposed increase has been set at 2.99% in order to maximise the total funding available to support the delivery of essential services. This will be an increase of £6.37 per year, or 12p per week, for an average Band D property.
3.2.17 The Band D Council Tax (excluding parishes) for the last 5 years is shown in the table below:
<table>
<thead>
<tr>
<th></th>
<th>2014/15 £</th>
<th>2015/16 £</th>
<th>2016/17 £</th>
<th>2017/18 £</th>
<th>2018/19 £</th>
</tr>
</thead>
<tbody>
<tr>
<td>Northampton Borough Council</td>
<td>207.91</td>
<td>207.91</td>
<td>207.91</td>
<td>212.91</td>
<td>219.28</td>
</tr>
<tr>
<td>Northamptonshire County Council</td>
<td>1,048.57</td>
<td>1,069.02</td>
<td>1,111.25</td>
<td>1,166.59</td>
<td>TBC</td>
</tr>
<tr>
<td>Northamptonshire Police & Crime Commissioner</td>
<td>197.04</td>
<td>200.96</td>
<td>204.96</td>
<td>209.04</td>
<td>TBC</td>
</tr>
<tr>
<td><strong>Total</strong></td>
<td><strong>1,453.52</strong></td>
<td><strong>1,477.89</strong></td>
<td><strong>1,524.12</strong></td>
<td><strong>1,588.54</strong></td>
<td><strong>TBC</strong></td>
</tr>
</tbody>
</table>
Jmd/committees/cabinet report template/14/02/18 **Special Expenses**
3.2.18 The Council charges special expenses to its residents as part of its Council Tax charge. Special expenses relate to expenditure deemed solely to apply to a part of the Borough where precepting authorities in other parts of the Borough have chosen to precept and supply the same service separately. These are known as concurrent services.
3.2.19 Northampton Borough Council charges special expenses for the maintenance of its smaller parks and open spaces as this service is also carried out by Parish Councils in some areas. Because these smaller parks and open spaces are not evenly distributed across the borough, the special expense charge (unlike the main council tax element) differs across the parishes of the Borough.
3.2.20 The basic mechanism is to deduct the relevant expenditure from the total Council Tax applying to the total tax base, and then re-apply that expenditure over the parishes affected. This means that residents in different parts of the Borough will pay different amounts according to the distribution of parks and open spaces across the Borough.
3.2.21 As a general rule, special expenses seek to reflect the cost of the services that relate to specific areas.
3.2.22 See Appendix 6 for further details and explanation.
**Capital Strategy**
3.2.23 The draft Capital Strategy is attached as Appendix 3. It has been updated to take account of the proposed changes to CIPFFAs Prudential Code and in the context of the approved Efficiency and Medium Term Financial Strategy. The proposed changes to the Prudential Code include a requirement for the CFO to report explicitly on the deliverability, affordability and risks associated with the Capital Strategy.
3.2.24 The aim of the Capital Strategy is to provide a clear framework for capital funding and expenditure decisions in the context of the Council’s vision, values, objectives and priorities, financial resources and spending plans. The Council’s capital strategy is to deliver a capital programme that:
- Contributes to the Corporate Plan, and the Council’s vision, values, strategic objectives and priorities
- Is closely aligned with the Council’s Asset Management Plan
- Supports service-specific and other NBC plans and strategies
- Is affordable, financially prudent and sustainable, and contributes to achieving value for money
3.2.25 The strategy also details the governance arrangements that have been put in place to ensure that capital expenditure is closely monitored and controlled.
**General Fund Capital Programme 2018/19 to 2022/23**
Jmd/committees/cabinet report template/14/02/18 3.2.26 The proposed General Fund Capital Programme and Funding for the next 5 years is detailed in Appendix 4 and summarised in the table below. The proposed programme has been reviewed, challenged and prioritised by the Capital Programme Board. Years 2 to 5 of the programme are indicative only at this stage.
3.2.27 The total value of the proposed programme for 2018/19 is £24,648m. This total includes £21,751m of New Proposals and/or schemes within the Development Pool. These are schemes for which either costs need to be firmed up and/or confirmation of external funding is required. These schemes will be moved from the Development Pool into the approved programme during the year as and when these details are approved by the Capital Programme Board in line with the enhanced governance processes implemented during 2017/18.
3.2.28 Apart from some reprofiling of expenditure in light of the latest forecasts for 2017/18, the changes to the programme since the draft budget report in December 2017 are as follows:
- Leisure Centre Improvement Programme – the latest discussions with the Leisure Trust suggest that funding will be sought from a third party and they will take responsibility for delivering the programme. This item has therefore been removed from the Council’s capital programme.
- Environmental Services Vehicles and Westbridge Depot improvements– this figure has been updated to reflect the cost estimates provided by the successful bidder.
- Fernie Fields – The sum of up to £180,000 is included in the proposed programme as a contribution towards improved stadium facilities.
3.2.29 The proposed capital programme can be contained within existing resources over the 5 year planning period. However, subject to the profile of capital receipts, some short term borrowing may be required. The proposed funding includes that in relation to Development Pool schemes.
3.2.30 Further significant schemes supporting the achievement of the Efficiency Plan may be brought into the capital programme over the next 12 months, supported by robust capital appraisals and business cases.
Jmd/committees/cabinet report template/14/02/18 Jmd/committees/cabinet report template/14/02/18
<table>
<tr>
<td>Description</td>
<td>2018/19</td>
</tr>
<tr>
<td></td>
<td>£000s</td>
</tr>
<tr>
<td>Disabled Facilities Grants</td>
<td>1,475</td>
</tr>
<tr>
<td>iT Improvements</td>
<td>175</td>
</tr>
<tr>
<td>Block Programmes</td>
<td>1,427</td>
</tr>
<tr>
<td>Development Pool</td>
<td>8,098</td>
</tr>
<tr>
<td>New Proposals</td>
<td>13,653</td>
</tr>
<tr>
<td>Total GF Capital Programme</td>
<td>24,828</td>
</tr>
<tr>
<td>Funding Source:</td>
<td></td>
</tr>
<tr>
<td>Borrowing (incl. self-funded)</td>
<td>16,206</td>
</tr>
<tr>
<td>Growing Places Fund/ Local Infrastructure Fund</td>
<td>400</td>
</tr>
<tr>
<td>Capital Receipts</td>
<td>5,541</td>
</tr>
<tr>
<td>Grants & Developer Contributions</td>
<td>2,681</td>
</tr>
<tr>
<td>Total Funding</td>
<td>24,828</td>
</tr>
</table>
**Earmarked Reserves and General Fund Balances**
3.2.31 Earmarked Reserves are held to mitigate against specific risks and future spending pressures. They are reviewed on an ongoing basis, but specifically as part of the budget process and again at the closure of accounts. Contributions to and from reserves will be adjusted for future years as the forecasts of government funding are updated.
3.2.32 General Fund Reserves as at 1st April 2017 stood at a total of £28.5m. A breakdown is shown in the table below.
<table border="1">
<thead>
<tr><th></th><th>Balance 1st April 2017</th><th>Purpose</th></tr>
</thead>
<tbody>
<tr><td>Service Specific Earmarked Reserves</td><td>£2.7m</td><td>To cover specific known spending commitments</td></tr>
<tr><td>Corporate Earmarked Reserves</td><td>£17.1m</td><td>Held to mitigate against corporate risks and to fund future budget pressures</td></tr>
<tr><td>Technical Reserves</td><td>£3.2m</td><td>To deal with technical accounting differences across financial years</td></tr>
<tr><td>Minimum Level of General Reserves</td><td>£5.5m</td><td>To cover general unquantified risks</td></tr>
<tr><td>Total General Fund Reserves</td><td>£28.5m</td><td></td></tr>
</tbody>
</table>
3.2.33 The unallocated balance as at 31st March 2018 on the Delivering the Efficiency Plan/MTFP Cashflow/Strategic Investment Reserves is forecast to be over £15m. It is proposed as part of the strategy to balance the MTFP that £10m of this is set aside to fund the annual cost of Environmental Services vehicle provision over the next 10 years. The remaining balances of £3m for Delivering the Efficiency Plan and £2m for MTFP Cashflow are sufficient to cover future needs and known/anticipated risks. The forecast balances on earmarked reserves are set out in Appendix 7.
3.2.34 As part of the budget process the Council determines a prudent minimum level of General Fund balances to hold against general risks. This minimum level is designed to cope with unpredictable circumstances, which cannot be addressed by management or policy action within the year. It is informed by a risk assessment, which currently suggests that £5.5m would be a prudent level of general reserves. This is in line with the actual level of general reserves held as at March 2017.
**Robustness of Estimates and Adequacy of Reserves**
3.2.35 The Local Government Act 2003 places a duty on the Chief Finance Officer to comment on 'the robustness of the estimates' included in the budget and the adequacy of the reserves for which the budget provides. This is subject to a separate report to this Cabinet meeting.
**Fees and Charges**
3.2.36 The draft schedule of Fees and Charges for 2018/19 is attached at Appendix 8. The Cabinet is recommended to agree the fees and charges that have been reflected in the budgeted income figures. These figures have been reviewed through the Medium Term Planning process and updated where feasible.
**Treasury Management Strategy**
3.2.37 The Treasury Management Strategy 2018/19 at Appendix 5 sets out the Council's policy for its debt and investment portfolios over the next financial year. It is reviewed annually and reported to Cabinet and Council as part of the budget setting process. The purpose of the strategy is to establish the framework for the effective and efficient management of the Council's treasury management activity, including the Council's investment portfolio, within legislative, regulatory, and best practice regimes, and balancing risk against reward in the best interests of stewardship of the public purse. The resources required to deliver the Council's Treasury Management Strategy and policies over the next five years are incorporated into the Council's HRA and General Fund revenue budgets.
3.2.38 The Treasury Management Strategy incorporates:
- The Council's capital financing and borrowing strategy for the coming year
- The Council's policy on the making of Minimum Revenue Provision (MRP) for the repayment of debt, as required by the Local Authorities (Capital Finance & Accounting) (Amendments) (England) Regulations 2008.
Jmd/committees/cabinet report template/14/02/18
- The Affordable Borrowing Limit as required by the Local Government Act 2003.
- The Annual Investment Strategy for the coming year as required by the CLG revised Guidance on Local Government Investments issued in 2010.
3.2.39 The Treasury Management Strategy also includes the Council's policy on borrowing in advance of need and its counterparty creditworthiness policies.
**Next Steps**
3.2.40 The Council meeting on 26th February will consider the recommendations of this Cabinet in relation to the expenditure and tax proposals that relate to the Council's own spending.
3.2.41 In addition to the Council's own Council Tax, there are separate Council Taxes for the county, police, and the parishes. Not all of these precepting bodies have set their Council Taxes at the date of the Cabinet report being written, with the result that these will be reported to the Cabinet if known by that date and at Council on 26 February 2018 in any event.
**3.3 Choices (Options)**
3.3.1 It is recommended that Cabinet make the recommendations to Council as detailed in section 2 of this report, taking into account the items detailed for noting.
3.3.2 The Cabinet may choose to make amendments to the proposed budgets or to the proposed council tax increase and adjust the budget proposals accordingly, in consultation with the Chief Executive and the Chief Finance Officer. It would then recommend the amended budget and council tax (if applicable) to Council.
**4. Implications (including financial implications)**
**4.1 Policy**
4.1.1 The revenue and capital budgets are set in support of the Council's priorities and within the context of the Efficiency and Medium Term Financial Strategy and Capital Strategy.
**4.2 Resources and Risk**
4.2.1 The resource implications are detailed throughout the report and appendices.
4.2.2 The robustness of the estimates and adequacy of the Council's reserves are subject to a separate report.
4.2.3 A report on risks and the 2018/19 budget was also considered by the Audit Committee at its meeting on 15th January 2018.
**4.3 Legal**
Jmd/committees/cabinet report template/14/02/18 4.3.1 The Council must set a balanced budget for the next financial year by midnight on 11 March 2018 (Local Government Finance Act 1992 section 32 (10). Failure to do this would leave the Council potentially vulnerable to court action by way of judicial review. Delay in sending out Council Tax demands would result in losses being incurred by the Council.
4.3.2 The authority has specific legal duties in relation to equalities and financial decision making – see 4.4 below.
**4.4 Equality and Health**
4.4.1 The Public Sector Equality Duty (PSED) requires the Council to have due regard to the need to eliminate discrimination, advance equality of opportunity and foster good relations between different people when carrying out its activities. Failure to comply with this duty would be challengeable in the courts.
4.4.2 Equality and diversity were considered as part of each of the medium term planning options submitted. Equality impact assessments are ‘living’ documents and will be updated to take into account relevant feedback from the consultation process. Where these documents identify mitigating action, this will be undertaken in implementing the relevant option should it be taken forward and approved in February 2018.
**4.5 Consultation**
4.5.1 Public consultation commenced with residents, businesses and interested stakeholders from the 21 December 2017 and ended 11 February 2018. The consultation period will formally close on the date the budget is approved in February 2018.
4.5.2 People were asked if they agreed with a small increase in council tax. Views were also sought in relation to the budget options proposed and respondents were also invited to suggest any other ideas that would achieve savings or generate income.
4.5.3 37 people completed online questionnaires. More than 54% of respondents agreed that the proposed Council Tax increase is about right, albeit at draft budget this was 2.34%. The proposal now is to increase up to the referendum limit of 2.99% and it is worth noting that another 19% of respondents believed the 2.34% increase was not high enough. There were a range of suggestions as to where the Council could spend more to improve services, most notably in relation to improvement cleanliness in the town centre. Full details, including comments on proposals and alternative suggestions are available in **Appendix 9**.
4.5.4 Overview and Scrutiny Committee reviewed the budget proposals at its meeting on 29 January 2018. The views of the Overview and Scrutiny Committees are reported in **Appendix 10**.
4.5.5 Audit Committee reviewed the budget proposals from a risk perspective on 16 January 2018. The key risks identified are reported at **Appendix 11**.
Jmd/committees/cabinet report template/14/02/18 **4.6 How the Proposals deliver Priority Outcomes**
**4.6.1** All of the discretionary investment proposals in the proposed budget reflect and/or are aligned to the corporate priorities as set out in the Corporate Plan.
**4.7 Other Implications**
**4.7.1** None not already covered above.
**5. Background Papers**
**5.1** None
**5.2 Appendices**
01. Proposed General Fund Revenue Summary 2018/19 to 2022/23
02. General Fund MTP Savings & Growth Options
03. Capital Strategy 2018/19
04. Proposed General Fund Capital Programme and Financing 2018/19 to 2022/23
05. Treasury Management Strategy 2018/19
06. Special Expenses
07. Schedule of Earmarked Reserves
08. Draft Fees and Charges 2018/19
09. Consultation Responses – Public Consultation
10. Consultation Responses – Overview and Scrutiny Committee
11. Consultation Responses – Audit Committee
Simon Bovey, Interim Chief Executive Stuart McGregor, Interim Chief Finance Officer
Jmd/committees/cabinet report template/14/02/18
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ENGLISH
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3752-pdf
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our realm should be disturbed once again.
this charter is kept firmly throughout the land according to the law. We strictly
barons mentioned in the charter. We also order that 12 knights from your county
You will have seen and heard of our charter which we made, and we order that
order that you make everyone under your jurisdiction swear an oath to the 25
will investigate and put a stop to certain evil customs both relating to sheriffs
you should make the charter be observed by all, in case, God forbid, the peace of
you should observe everything contained in the charter without exceptions, and
and their officers as it is contained in the charter itself.
We order that, just as you love us and our honour, and the peace of Our Lord,
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ENGLISH
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4477-pdf
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# Earnings (in LKR)
<table>
<thead>
<tr>
<td>Earnings (in LKR)</td>
<td>Entry</td>
<td>Date Paid</td>
<td>Expense Type</td>
<td>Exposure Area</td>
<td>Total Status</td>
<td>Supplier(s)</td>
<td>Transaction Reference</td>
<td>Amount</td>
</tr>
</thead>
<tbody>
<tr>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>25/03/2023 Balance Sheet</td>
<td>STOWYME ASSET(T) PURCHASED</td>
<td></td>
<td></td>
<td>SUPPLIERS(CARE LTD)</td>
<td></td>
<td>47,948.00</td>
</tr>
<tr>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>25/03/2023 FACULTY</td>
<td>CMPWTER MAINTENANCE</td>
<td>FuLy Sentelb</td>
<td></td>
<td>ACONTRIBLTY</td>
<td></td>
<td>651141</td>
<td>87,120.36</td>
</tr>
<tr>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>25/03/2023 Balance Sheet</td>
<td>STOCKS FRIWED4 GODDS</td>
<td>FuLy Sentelb</td>
<td></td>
<td>ALIIANCIY-HEALTHCARE (1978RUT-LTD)</td>
<td></td>
<td>652770</td>
<td>85,593.14</td>
</tr>
<tr>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>11/03/2021 Balance Sheet</td>
<td>MEDICAL EQUIP DUTIONS-PURCH.</td>
<td>FuLy Sentelb</td>
<td></td>
<td>AERIANEC MEDICAL SYSTEMS (U)LTD.</td>
<td></td>
<td>6825391</td>
<td>81,544.38</td>
</tr>
<tr>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>The MD YOKUR6RE HOSPITALS LTD Trust</td>
<td>11/03/2021 HEALTH TECHNOLOGY</td>
<td>MEDICAL EQUIP DUTIONS-PURCH.</td>
<td>FuLy Sentelb</td>
<td></td>
<td>AERIANEC MEDICAL SYSTEMS (U)LTD.</td>
<td></td>
<td>684704</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br>684704
<table>
<thead>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>5XN402131 AETT LUSSELSANDMAPS</td>
<td>QBST CONSTRUCTION</td>
<td>Fuva Sentier</td>
<td>NHS LICITATION AUTHORITY</td>
<td>26503</td>
<td>1,041,170.00</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>1XKUQ2131 AMPT LUSSELSANDMAPS</td>
<td>AMGKUR 6812 NHP</td>
<td>Fuva Sentier</td>
<td>NHS LICITATION AUTHORITY</td>
<td>265041</td>
<td>1,041,170.00</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>LJLQV2031 9W5F IGDLGNC ACCUQYR</td>
<td>NHP BANK (D2NRB)</td>
<td>Fuva Sentier</td>
<td>NHS PRIDESTIONALS</td>
<td>650124</td>
<td>193,265.75</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>LJLNQ2031 NHSP RUDLHOM ACCUQYR</td>
<td>NHP BANK CONTROLL</td>
<td>Fuva Sentier</td>
<td>NHS PRIDESTIONALS</td>
<td>650124</td>
<td>3,327.40</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>SXKNQ2031 NHSP RUDLHOM ACCUQYR</td>
<td>NHP BANK CONTROLL</td>
<td>Fuva Sentier</td>
<td>NHS PRIDESTIONALS</td>
<td>651999</td>
<td>2,994.69</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>SXKNQ2031 NHSP RUDLHOM ACCUQYR</td>
<td>NHP BANK CONTROLL</td>
<td>Fuva Sentier</td>
<td>NHS PRIDESTIONALS</td>
<td>651999</td>
<td>3,396.69</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>I8XVQ2031 9W5F IGDLGNC ACCUQYR</td>
<td>NHP AGENCY CONTROL</td>
<td>Fuva Sentier</td>
<td>NHS PRIDESTIONALS</td>
<td>651999</td>
<td>8,788.30</td>
</tr>
<tr>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>THE MID YORKSHIRE HOSPITALS NHS TRUST</td>
<td>LJLNQ2031 IBANSKS SHEET</td>
<td>NINMKS TRADE C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 888888 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR 650267 Trade C 1-7 YR<br/>MEDICAL_EQUP_ADTIONALS_PURCH<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/>STOCKS FRIWED4 GODDS<br/></table>
<table style="width: auto;">
<tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td colspan="3">THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKSHIRE HOSPITALs NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID YORKISHRE HOSPITALS NHS TRUST - THE MID Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD - The Mid Yorkishre Hospital Ltd (Yorkshire) LTD
<img>A table showing data for the mid yorkshire hospitals nhs trust.</img></tbody></table>
<table style="width: auto;">
<tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td colspan="3">THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LTD
THE MIND SHIELDING SERVICES LIMITED
<img>A table showing data for the mind shielding services ltd.</img>
<table style="width: auto;">
<tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td colspan="3">PQI Publication of Spend over £25,000.csv
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XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX 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ENGLISH
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0837-pdf
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© darwent architecture Ltd The Island, Castleton, Hope Valley Derbyshire, 533 8WN (01433) 695560 info@darwentarchitecture.co.uk
Date: 16th June 2020
Peak District National Park Authority Aldern House, Baslow Rd, Bakewell DE45 1AE
Application Site: Bradwell Scout Hut / Former Chapel, Charlotte Lane, Bradwell Client: Mr Scott Meakin Subject: Specification Information for Listed Building Consent Application
Revision E (3rd September 2020)
Mortar for Proposed Re-pointing Existing Stonework: Mortar mix and colour to match existing
Product: NHL 3.5 Hydraulic Lime Mortar Colour: Ravenfell A medium coarse lime mortar, straw blond with a lightly peppered finish. Finish: Brushed out to suit original stonework joints Mortar mix: 1 part lime; 1 part limestone dust; 2 part yellow sand ("Scooby Grey" sand)
<img>Ravenfell Mortar colour swatch www.lime-mortars.co.uk</img> <img>Photos of existing stonework and pointing</img>
Gutters Existing timber gutters and support brackets to be retained. Gutters to be bitumen lined and re-painted. Products for Painting: Knotting solution (a.k.a knotting pale) 2 no. coats of Dulux Weathershield Exterior Preservative Primer 2 no. coats of Dulux Weathershield Quick Dry Undercoat 2 no. coats of Dulux Weathershield Exterior High Gloss to finish Colour: Black
New Downpipes Material: Black cast iron to replace existing white Shape: Round Size: 68mm diameter
<img>Photo of existing timber gutters and support brackets</img> © darwent architecture ltd
Slate Vents New internal SVPs and extracts to terminate through new slate vents in roof as per drawing PL011.
Product: 'Manthorpe Thin Leading Edge Tile Vent (GTV-TE) Size: 330x418mm, 19mm edge thickness (Suitable for 110mm circular outlet) Material: PVC top, polypropylene base Colour: Slate Grey Supplier: Ashbrook Roofing
Image of proposed slate vents
Photograph of tile vent installed in Hardrow roof. Please note that the Hardrow tiles at the application site are darker grey shade and would match better with the grey colour of the tile vent.
Photograph of existing Hardrow tiles at application site
Wall Extracts
1. New gas balanced boiler flue to extract through external wall on north elevation as per drawing PL006.
2. New WC extract to terminate through external wall on north elevation as per drawing PL006.
3. New kitchen extract to terminate through external wall on north elevation as per drawing PL006.
4. New gas balanced stove flue to extract through external wall on south elevation as per drawing PL006.
Exterior Extract Cover (Kitchen) Size: Minimum 150x150mm Material: Cast iron Colour: Black
Examples of exterior air vent covers / air bricks
Interior Wall Extract Covers Product: Frankische Starline Design Grille range Size: 160x160mm Material: TBC Colour: White 9016
Image of proposed interior wall extract covers
\<page_number>p.2\</page_number> © darwent architecture ltd
Ventilated Ridge Tiles Product: Marley Plain Angle (No Collar) Concrete Ridge Tile Supplier: Ashbrook Roofing Type: 110 degree (shallow pitch) Size: 453mm x 453mm x 76mm Fixing: Manthorpe Ridge Fixing Screw - screw and clamp are corrosion resistant, 304 grade stainless steel.
Image of proposed ventilated ridge tiles and fixings
Concrete Padstones Specified by SE to support new steel beams (refer to drawings for sizes). N.B. These would sit within the wall and would be plastered over. They will not therefore be visible. Examples of typical concrete padstones
Pointing Mortar Sample
Pointing on existing building Proposed pointing sample
Reclaimed York Stone Paving Sample
\<page_number>p.3\</page_number> <watermark>darwent architecture ltd</watermark>
**Proposed Woodwork Treatment**
It is proposed to soda-blast 2 out of 3 of the existing trusses to remove the existing dark stain and return them to their original colour.
Soda-blasting is a non-harmful process that cleans and strips wooden timbers. The process uses sodium bicarbonate which completely fragments on impact without any surface damage, as baking soda is an extremely powdery material. Carpenter's marks, initial, names etc will not be removed by this method.
The above text is paraphrased from the website of a company that specialises in non-abrasive soda-blasting of timbers. Please see the following links for details:
- https://www.beamcleanrestore.com/beam-cleaning/
- http://sw-sodablast.co.uk/listed-buildings/
<img>
Photo of one of the stained timber trusses with small section sanded back by hand
</img>
<img>
Photo of existing damage to one of the existing trusses
</img>
**Proposed Paint for Pods**
The proposed heritage colour for the pods is Farrow and Ball’s Plummet. The below images show the paint in the context of actual rooms and its interaction with light. This colour will create a distinct contrast between the historic fabric from the new proposed structures.
<img>
A room with a desk, shelves, and a vase of flowers.
</img>
<img>
A hallway with a lamp, coat rack, and framed pictures.
</img>
<img>
A tin of Farrow & Ball Plummet paint.
</img>
<p><page_number>p.4</page_number></p>
<watermark>darwent architecture ltd</watermark>
**Proposed Ironmongery for Front Door**
Below Left: From the Anvil - Black Regency Mortice / Rim Knob Set (code 92068) Below Right: From the Anvil - Black 6" Straight Monkeytail Bolt (for inward opening doors) (code 73133)
**Proposed Ironmongery for External Windows**
1. From the Anvil - Slim Monkeytail Espag Window Handle - matt black (code 33243) For casement window.
2. From the Anvil - Monkeytail Stay in matt black (code 33283). For casement window.
3. From the Anvil - Fanlight Catch & Two Keeps - Black (code 83844), For inward opening top windows.
4. From the Anvil - Black on SS 3" Ball Bearing Butt Hinge (pair) (Code 90022).
5. From the Anvil - 6" Roller Arm Stay - Black (code 83849) For inward opening top windows.
<img>
1. A black metal window handle with a scroll design.
2. A black metal fanlight catch and two keeps assembly.
3. A black metal ball bearing butt hinge pair.
4. A black metal roller arm stay.
5. A black metal roller arm stay.
</img>
**Proposed Gas Balanced Flues (External Appearance)**
The below images show the proposed external appearance of the gas balanced flues and flue guards in matt black finish. Products shown:
- Matt black Gas Fire Horizontal Terminal
- PC28X165 Flue Guard 280x150mm
<p><page_number>p.5</page_number></p>
© darwent architecture ltd
**Proposed Bathroom Glazing**
It is proposed that the bathroom windows will be obscure-glazed with plain sand-blasted glass to an opacity level equivalent to Pilkington Privacy Level 5.
<img>A close-up view of a bathroom window with sand-blasted glass, showing the texture and effect of the obscure-glazing.</img>
Image to illustrate the texture and effect of the obscure-glazing
\<page_number>p.6\</page_number>
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ENGLISH
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0724-pdf
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<img>Planning Portal logo</img>
Application for a non-material amendment following a grant of planning permission. Town and Country Planning Act 1990
'ublication of applications on planning authority websites lease note that the information provided on this application form and in supporting documents may be published on the Authority's website. If you require any further clarification, please contact the Authority's planning department.
Please complete using block capitals and black ink. is important that you read the accompanying guidance notes as incorrect completion will delay the processing of your application.
**1. Applicant Name and Address**
Title: **Mr** First name: **John** Last name: **Hillman** Company (optional): \_\_\_\_\_\_\_\_\_\_\_\_ Unit: \_\_\_\_\_\_\_\_\_\_\_\_ House number: **12** House suffix: \_\_\_\_\_\_\_\_\_\_\_\_ House name: **Kulenhaven** Address 1: **WHITE EDGE DRIVE** Address 2: **BASLOW** Address 3: \_\_\_\_\_\_\_\_\_\_\_\_ Town: **BAILEWELL** County: **DERBYSHIRE** Country: **UK** Postcode: **DE45 1SJ**
**2. Agent Name and Address**
Title: \_\_\_\_\_\_\_\_\_\_\_\_ First name: \_\_\_\_\_\_\_\_\_\_\_\_ Last name: \_\_\_\_\_\_\_\_\_\_\_\_ Company (optional): \_\_\_\_\_\_\_\_\_\_\_\_ Unit: \_\_\_\_\_\_\_\_\_\_\_\_ House number: \_\_\_\_\_\_\_\_\_\_\_\_ House suffix: \_\_\_\_\_\_\_\_\_\_\_\_ House name: \_\_\_\_\_\_\_\_\_\_\_\_ Address 1: \_\_\_\_\_\_\_\_\_\_\_\_ Address 2: \_\_\_\_\_\_\_\_\_\_\_\_ Address 3: \_\_\_\_\_\_\_\_\_\_\_\_ Town: \_\_\_\_\_\_\_\_\_\_\_\_ County: \_\_\_\_\_\_\_\_\_\_\_\_ Country: \_\_\_\_\_\_\_\_\_\_\_\_ Postcode: \_\_\_\_\_\_\_\_\_\_\_\_
# Site Address Details
Please provide the full postal address of the application site.
Unit: \_\_\_\_\_\_\_\_\_\_\_\_ House number: \_\_\_\_\_\_\_\_\_\_\_\_ House suffix: \_\_\_\_\_\_\_\_\_\_\_\_
House name: \_\_\_\_\_\_\_\_\_\_\_\_
Address 1: \_\_\_\_\_\_\_\_\_\_\_\_ Address 2: \_\_\_\_\_\_\_\_\_\_\_\_ Address 3: \_\_\_\_\_\_\_\_\_\_\_\_ Town: \_\_\_\_\_\_\_\_\_\_\_\_ County: \_\_\_\_\_\_\_\_\_\_\_\_ Postcode (optional): \_\_\_\_\_\_\_\_\_\_\_\_
Description of location or a grid reference. (must be completed if postcode is not known):
Easting: \_\_\_\_\_\_\_\_\_\_\_\_ Northing: \_\_\_\_\_\_\_\_\_\_\_\_ Description: \_\_\_\_\_\_\_\_\_\_\_\_
<watermark>As above</watermark>
## 4. Pre-application Advice
Has assistance or prior advice been sought from the local authority about this application?
☑ Yes ☐ No
If Yes, please complete the following information about the advice you were given. (This will help the authority to deal with this application more efficiently).
Please tick if the full contact details are not known, and then complete as much as possible ☐
Officer name: **Mark Nuttall**
Reference:
Date of advice (DD/MM/YYYY):
______________________________________________________________________
Details of pre-application advice received:
______________________________________________________________________
## 5. Eligibility
Do you, or the person on whose behalf you are making this application, have an interest in the part of the land to which this amendment relates?
☑ Yes ☐ No
If you have answered No to this question, you cannot apply to make a non-material amendment.
If you are not the sole owner, has notification under article 9 of the DMPO been given?
☐ Yes ☐ No ☑ Not Applicable
If you have answered No to this question, you cannot apply to make a non-material amendment.
If you have answered Yes to this question, please give details of persons notified:
<table>
<thead>
<tr>
<th>Person Notified</th>
<th>Address</th>
<th>Date of Notification</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
## 5. Authority Employee / Member
With respect to the Authority, I am:
(a) a member of staff (b) an elected member (c) related to a member of staff (d) related to an elected member
Do any of these statements apply to you?
☐ Yes ☑ No
If yes please provide details of the name, relationship and role
______________________________________________________________________
______________________________________________________________________
______________________________________________________________________
______________________________________________________________________
# Description Of Your Proposal
Please provide a brief summary of the project. Please include all items on the description letter including application reference number and date of decision and the reason for your application (e.g. to meet the city's development code).
**AMENDMENT STUDY TO CHANGE PUMP & VALVE CHARS TO COMPLY WITH CODES AND CHANGE BUILDING INTO A HIGH QUALITY FAMILY HOME**
<table>
<tr>
<td>Application Number:</td>
<td>Date of Decision: 03/29/17</td>
</tr>
<tr>
<td>NP/DOC/0219/01A1</td>
<td>23-06-2017</td>
</tr>
</table>
What was the original application type? e.g. Full Householder and Listed Building Outline: **Full**
For the purpose of calculating fees, which of the following best describes the original application type? Householder development development to an existing dwelling house or development within its curtilage ☑ Other anything not covered by the above category ☐
## 3. Non-Material Amendment(s) Sought
Please describe the non-material amendments you are seeking to make.
**CHANGE OF ROCK CICK TO NATURAL STONE** **CHANGE ROOF TILE TO SLATE** **CHANGE WINDOW SURFACES TO INCLUDE JAMBES & HEADS CILLS** **DETAIL CHIMNEY.**
Are you intending to substitute amended plans or drawings? ☑ No
If yes, please complete the following:
Old plan drawing number(s): <signature><img>Signature</img></signature>
New plan drawing number(s): PDF 1, PDF 2
Please state why you wish to make this amendment: NOT POSSIBLE TO SOUR' E GRISTONE DIALEXICALS IN QUANTITY REQUIRED, OTHER CHANGES ARE TO COMPLIMENT THE STONE CHANGE, PLUS CHIMNEY DETAIL
# Application Requirements - Checklist
*Please read the following checklist to make sure you have sent all the information in support of your proposal. Failure to submit all information required will result in your application not being accepted. It will not be accepted until all information required by the local Planning Authority has been submitted.*
The original and 3 copies of a completed and dated application form: ☑
The original and 3 copies of other plans and drawings or information necessary to describe the subject of the application: ☐
The correct fee: ☐
______________________________________________________________________
**10. Declaration**
/we hereby apply for planning permission/consent as described in this form and the accompanying plans/drawings and additional information.
Signed - Applicant: <signature>M</signature> Or signed - Agent: \_\_\_\_\_\_\_\_\_\_\_\_ Date (DD/MM/YYYY): **31.7.17**
______________________________________________________________________
**11. Applicant Contact Details**
Telephone numbers
<table>
<tr><td>Country code:</td><td>National number:</td><td>Extension number:</td></tr>
<tr><td>____________</td><td>____________</td><td>____________</td></tr>
<tr><td>Country code:</td><td>Mobile number (optional):</td><td>____________</td></tr>
<tr><td>____________</td><td>____________</td><td>____________</td></tr>
<tr><td>Country code:</td><td>Fax number (optional):</td><td>____________</td></tr>
<tr><td>____________</td><td>____________</td><td>____________</td></tr>
<tr><td>Email address (optional):</td><td colspan="2">____________</td></tr>
<tr><td colspan="3">____________</td></tr>
</table>
______________________________________________________________________
**12. Agent Contact Details**
Telephone numbers
<table>
<tr><td>Country code:</td><td>National number:</td><td>Extension number:</td></tr>
<tr><td>____________</td><td>____________</td><td>____________</td></tr>
<tr><td>Country code:</td><td>Mobile number (optional):</td><td>____________</td></tr>
<tr><td>____________</td><td>____________</td><td>____________</td></tr>
<tr><td>Country code:</td><td>Fax number (optional):</td><td>____________</td></tr>
<tr><td>____________</td><td>____________</td><td>____________</td></tr>
<tr><td>Email address (optional):</td><td colspan="2">____________</td></tr>
<tr><td colspan="3">____________</td></tr>
</table>
______________________________________________________________________
**13. Site Visit**
Can the site be seen from a public road, public footpath, bridleway or other public land? ☑ Yes ☐ No
If the planning authority needs to make an appointment to carry out a site visit, whom should they contact? (Please select only one) ☐ Agent ☑ Applicant ☐ Other (if different from the agent/applicant's details)
Contact name: \_\_\_\_\_\_\_\_\_\_\_\_ Telephone number: \_\_\_\_\_\_\_\_\_\_\_\_
Email address: \_\_\_\_\_\_\_\_\_\_\_\_
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ENGLISH
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The National Archives' business priorities 2019-20
<table>
<tr>
<td>Making it happen</td>
<td>By March 2020</td>
</tr>
<tr>
<td>Change the culture and approach of The National Archives so that in all we do we better reflect and represent the society we serve</td>
<td>We will improve representation of both staff and users by compiling and publishing our Corporate Equality, Diversity and Inclusion action plan and introducing targeted Positive Action in our recruitment campaigns.</td>
</tr>
<tr>
<td></td>
<td>We will roll-out our new visual identity, a fresh tone of voice and visual language across multiple platforms.</td>
</tr>
<tr>
<td>Curate unique national moments of public inspiration and participation, including through the launch of the 1921 Census - the UK's largest ever online release of historical records</td>
<td>We will launch and deliver our Cold War programme, opening our exhibition 'Protect & Survive' and delivering high profile events on-site and on digital platforms.</td>
</tr>
<tr>
<td>Create new, inclusive and exciting spaces, physical and virtual, in which people can encounter our collection afresh – partnering with The National Archives Trust to widen the public experience and understanding of archives and our history</td>
<td>We will work in partnership with The National Archives Trust and deliver a phased programme for transforming our public spaces to provide a more welcoming experience to visitors.</td>
</tr>
<tr>
<td></td>
<td>We will experiment with new ways of attracting non-research visitors, and develop our onsite offer to ensure that they have a good experience and end their visit feeling that The National Archives is for them.</td>
</tr>
<tr>
<td>Lead the archives sector to fulfil the vision set out in Archives Unlocked, promoting our shared values of trust, enrichment and openness</td>
<td>We will implement the Archives Unlocked Workforce Development strategy to create a more diverse and inclusive sector.</td>
</tr>
<tr>
<td></td>
<td>We will develop the Archives Unlocked Digital Capacity strategy, and establish ourselves as a 'Teaching Archive' where archivists can gain hands-on experience managing digital records, delivering a pilot course.</td>
</tr>
</table>
\<page_number>1\</page_number> The National Archives’ business priorities 2019-20
<table>
<tr>
<td>Making it happen</td>
<td>By March 2020</td>
</tr>
<tr>
<td>Generate from our collection and expertise the cutting-edge research opportunities and commercial offers that will realise value and open out more of our collection</td>
<td>We will transform our culture, explore commercial opportunities and seek freedoms to deliver the revenue and contribution growth envisaged in our Commercial Strategy.<br><br>We will enhance our research capability, work with partners to develop funded research bids and deliver academic events that address our research priorities.</td>
</tr>
<tr>
<td>Secure the future of the Government record as an essential resource for public servants and the people - providing legal certainty through legislation.gov.uk and historical perspective through our collection</td>
<td>We will lead work to revise the statutory Code of Practice on the management of records and create a new digital service for government departments to transfer records to The National Archives, with at least one transfer made using a working prototype of the new service.<br><br>We will aid legal certainty as the UK exits the European Union by developing legislation.gov.uk and the Web Archive, extending the scope of the revised legislation on legislation.gov.uk and qualitatively improving the user experience of both services.</td>
</tr>
<tr>
<td>Lead the world in reimagining archival practice for the 21st century, pioneering new and ethical approaches to appraisal and selection, description, digital preservation and access</td>
<td>We will research, develop and publish new practices for managing preservation risk over time, including a theory of technological change for the digital archive.<br><br>We will seek to win funding to develop an ultra-low cost, bare bones digital preservation solution that could be deployed by archives world-wide.</td>
</tr>
</table>
\<page_number>2\</page_number> The National Archives’ business priorities 2019-20
**Departmental expenditure**
You can find out how we spend our money across departments within our organisation, where we receive funding and what income we generate by visiting our How we spend public money web pages (nationalarchives.gov.uk/about/our-role/transparency/how-we-spend-public-money).
**Information strategy and transparency**
We want to ensure that we can be held accountable as we deliver our strategic priorities – see our Transparency pages for further information (nationalarchives.gov.uk/about/our-role/transparency).
We will continue to explore ways to make this information even easier to access and understand.
\<page_number>3\</page_number> The National Archives’ business priorities 2019-20
**Input and impact indicators**
The input and impact indicators set out in this section are just a subset of the data gathered by us, which is available on our website including our annual report and accounts.
<table>
<thead>
<tr>
<th>Indicator</th>
<th>How often will it be published?</th>
<th>How will this be broken down?</th>
</tr>
</thead>
<tbody>
<tr>
<td>Time taken to respond to FOI, DP and EIR requests</td>
<td>Quarterly</td>
<td>Percentage of those responded to within statutory targets on a year-to-date basis</td>
</tr>
<tr>
<td>Number of physical records accessioned (the number of physical records transferred and added to Discovery, our online catalogue)</td>
<td>Anually</td>
<td>Total number of individual items newly accessioned and total meterage of new accessions</td>
</tr>
<tr>
<td>Original documents delivered to on site users</td>
<td>Monthly</td>
<td>Total numbers delivered</td>
</tr>
<tr>
<td>Time taken to deliver original records to on site users</td>
<td>Quarterly</td>
<td>An average delivery time for documents delivered on a year-to-date basis</td>
</tr>
<tr>
<td>Electronic records delivered to online users</td>
<td>Bi-annually</td>
<td>Total numbers delivered</td>
</tr>
<tr>
<td>Staff engagement (Civil Service survey)</td>
<td>Anually</td>
<td>Results from Civil Service Staff Engagement survey</td>
</tr>
<tr>
<td>Staff diversity</td>
<td>Quarterly</td>
<td>Percentage of those self declaring ethnicity and disability status; women and top management women based on full time equivalent headcount</td>
</tr>
<tr>
<td>Staff sickness absence</td>
<td>Monthly</td>
<td>Average number of days lost through sickness per full time equivalent member of staff</td>
</tr>
<tr>
<td>Customer satisfaction</td>
<td>As and when there are surveys (normally annually)</td>
<td>Percentage respondents satisfied:
• Online users
• On site users
• Legislation.gov.uk
• UK Government web archive</td>
</tr>
</tbody>
</table>
\<page_number>4\</page_number> The National Archives' business priorities 2019-20
<table>
<thead>
<tr>
<td>Indicator</td>
<td>How often will it be published?</td>
<td>How will this be broken down?</td>
</tr>
</thead>
<tbody>
<tr>
<td>Sustainable development</td>
<td>Annually</td>
<td>Percentage reduction compared to baseline:<br><ul><li>Carbon emissions from energy use in our buildings</li><li>Carbon emissions from business travel • Operational (business as usual) waste</li><li>Water consumption</li><li>Domestic flights</li></ul></td>
</tr>
</tbody>
</table>
\<page_number>5\</page_number>
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ENGLISH
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4127-pdf
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নির্দেশনা
জাতীয় লকডাউন: বাড়িতে থাকুন সারা দেশে করোনা ভাইরাস কেস চূড়া বৃদ্ধি পায়ছে। আপনার করীমী ও বর্জনীয় সম্পর্কে জেনে নিন।
৪টা জানুয়ারি ২০২১ তারিখে অবস্থিত
সর্বোচ্চ হালনাগাদ ৬ই জানুয়ারি ২০২১ — সকল হালনাগাদকৃত, জন্য শেখদুল
থেকে:
ক্যাবিলিট অফিস
দেখান প্রবেশ:
ইংল্যান্ড
বিময়বন্ত
সারমধ্যেণ: জাতীয় লকডাউনের সময়ে আপনার করীমী ও বর্জনীয় এই মিশনগতভাবে করতে জনা মহা। মুখ। পুরস্কার। আমদিরি কখনও বাড়িতে যেতে পারবেন মাঝুরের সাথে দেখা করা। বাড়িতে আমদিরি ক্যাবিলিটসমূহ সাহসই ৫৩। চটকককককককককককককককককককককককককককককককককককককককককককককককককককককককককককককককককककककककककककककककककककककककककककककककककककककકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકકಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕಕ Karnataka <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैद विभाग</watermark> <watermark>राज्य कैদ विभाग</watermark> <watermark>राज्य कैদ विभाग</watermark> <watermark>राज्य कैদ विभाग\</水印文字不完整,无法翻译。 কাজে বাওয়া ছুন অথবা কলেজে বাওয়া ইংরেজিকভাষি চাইত্যক্রমের এমন আহ্নিকতিক উদ্দেশ্য সাধা আড়ের জন্য বাড়ির বাইরে সম্পন্ন করা কেখার হোম পরিবর্তন আহ্নিকতিক বিবাহ, শিক্ষিত পরিবারপরিশ্রম ও ধর্মীয় পরিবারপরিশ্রম উপাদানগুলো খেলাধুলা এবং শালীকৃত ফিরিয়াকলাগ মাটি বন্দনা আদির্বি সংস্থা মানবজাত কেন্দ্র এবং ভেজুবস্তুমূল বেষ্ট বাসা কেন্দ্র এবং ভেজুবস্তুমূল খেলা রাখা বাহন ছায়াপতিতপট ও সমকক্ষি পরিবারপরিশ্রম
এই পৃষ্ঠটি উপরিতলের
সারসংঘস্থপ: জাতীয় লকডউলের সমস্তে আপনার করতীয়ও বরজীয়
আপনারকে অবশিষ্টি বাড়িতে থাকতেই। আমরা সবাই সবথেকেই গুরুত্বপূর্ণ (যে) পণ্ডিতদিগেরি (যে) পরিচয়িতা (যে) পরিচয়িতা (যে) হচ্ছে। এনএইচএমএক্সডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডডडडडडडडडडडडडडडडडडडडडडडडडडडडडडડડડડડડડડડડડડડડડડડડડડડડડડડડડડडडडडडडडडडडडडडडडडडडडडडडडडडडડડડડડડડડડડડડડડડડડડડડડડडडडडडडडडडडडडडडडডढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढढ�33333333333333333333333333333333333333333333333333333333333333333333333333444444444444444444444444444444444444444444444444444444445555555555555555555555555555555555555555566666666666666666666666666666666677777777777777777777777777777777888888888888888888888888888888889999999999999999999999999999999900000000000000000000000000000000111111111111111111111111111111112222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222
আপনার আবিলগুলোই এই নির্মিতশিক্ষা (অনুশোধন) करता उचित। एक्टिव आईसेल.
বাড়িতেখেকবাইয়েবাওয়া
জনসুচি काज छाड़ा आपनार बाइंरे बाओया या बाड़ियर बाइंरे धाका उठित मय। आपनि ये काजे बाड़ियर बाइंरे मेंतो पारेन:
- आपनार या कोल मूर्ख बाड़ियर जना, नित्य प्रयोगशाली जिमिश्वर्ण केनकाटा
- काजे बाओया, अथवा छोट्यानी या दाता सेवा प्रदान करते, हमी आपनि भा बाड़िये थे केंद्रीकरण करते सा करते पारेन ● आपनारे परिवार (अथवा संगठित बालक) या अन्न कोण एक वाहिक दाखूत बायाम करते पारेल, एटी दैनिक एकबार करते हुए शीमाच्छ थाका उचित, एवं आपनारे क्षेत्रीय एलाकाकर वाहिनी उम्मेद करता करा उचित महत्. ● आपनारे संगठित बालकों अथवा चाइडेको क्रमशः बालकों साथी साध्या करुन योग्यता जुलूसि, किस्मु पुस्तका यदि आधिकारिक डायबेट आपनारे एवं केवल पद्धति सहित करिबकर थाका. ● हिक्किया सहायता प्रशंसक करुन अथवा आधार, अनुभवा या स्फुक्ति कृषि (धोखा) स्वर्णीय संग) अधिक हल्लुन ● पिछला अथवा चाइडेकोमेरे प्रशंसकण कृत्र-याला पुनरुकु भाग्य करेल
यदि आपनि कोण समझौतेदिए काजे बाइरे हाम, ठहरले सबसमय प्रशंसकर प्रशंसको सहीयता एलाका थाका उचित- परकार क्षेत्रीय पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस्तका पुस্তকা पुस্তকা पुস্তকা पुস্তকা पुस্তকা पुस্তকা पुस্তকা पुस্তকা पुस্তকা पुस্তকা पुस्तকা पुस্তকা पुस্তকা पुस্তকা पुस্তকা पुस্তকা पुस্তकা पुस্তकা पुस्तकা पुस্তकা पुस্তकা पुस্তकা पुस্তकা पुस्तकা पुस্তकা पुस্তकা पुस্তकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पुस्तकা पु斯्तकা पुス्तकা पु斯्तकা पु斯्तकা पु斯्तकা पु斯्तकা पुス্তकা पु斯्तका پุস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পত্বাপুস্পतবাহিনी।
आपनि यदि हिक्रिया संगठिको हो, होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइन होइন होইন হয়ে থাকেন অরে আপনার উচিভ শৃঙে ডাকেন ওখেলেন, বায়মান বা জলিরি করেজের জননি বাইরে যাওয়া। আপনার কাজে যাওয়া উচিভ নয়।
আলপদের সাথে দেখি
আপনি যার সাথে বনগাম করেন না। যে সংগঠিন বালকের মধীন যাওয়া করেন না।এমন করেও সাথে দমনশিকড়ির সময়ই করছি।আপনি বাহিনি যথেষে গবেষণের না।(যদি না)আপনার আইনগভড়ভদরে একটি গঠন করার জন্অনমিটি থাকে)
আপনি নিজে,অথবা অন্একজনের সাথে, যা আপনার পরিারের যা সংগঠিন বালকের করলের সাথে বায়মান করছি।এটি হিকিভিকিরওএকবছরেরওমধি,শিমময়কড়িরওথলভৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎহবৎहबः।
একটি অমলশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণশিলিশিরণशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलिशिरणशिलิশিরণশিলিশিরণशিলিশিরণशিলিশিরণशিলিশিরণशিলিশিরণशিলিশিরণशিলিশিরণशিলিশিরণशিলিশিরণशিলিশিรণশিলิশিรণশিলিশিรণশিলিশিรণশিলিশিรণশিলিশিรণশিলিশিรণশিলิশিรণশিলิশিรণশিলิশিรণशিলิশিรণश।
আপনার চলমানজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনজনजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజజજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજજ Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorge Jorgeorge Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg Jorg 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কলেজ, প্রাইমারি এবং মেডিক্যাল শুরুত শুধুমাত্র পুরুষ শিক্ষা এবং সক্ষমতা কর্মশীলীদের সমান্তরে জন্য ধান্য থাকতে। আনা সমস্ত শিক্ষা ফেড়েছিলের হাড়-টার্ম পর্যন্ত দূরে থেকে শিখতে।
আপনি ইহারা অভিভাবকগুলো ধান্য থাকবে।
সকল সক্ষমতা কর্মশীলীদের কোনও বাড়িওয়া বাকি সকল উচ্চ শিক্ষার কর্মক্রম ফেড়েছিলের মাধ্যমেই পর্যন্ত অনলাইনে চলতে থাকবে
এই নির্দেশনা সেইসব লোকজনের জন্য যারা শুধুমাত্র পুরুষ এবং ভাল আছেন। যে সকল লোকজন চিকিৎসা-পাঠগতভাবে করোনাউদ্ভিদ্যের কারণে অভিজ্ঞতা, মৃত্যু, এবং,সভারা,বা,নিশ্চিত,করোনাউদ্ভিদ্যের,সংক্রমণ,হয়েছে,এমন,পরিবারও এমন,বাড়িওয়ারজন্য,অভিভাবক,নির্দেশনাবাদী,আছে।যদি,আপনি,চিকিৎসা-পাঠগতভাবে,অভিজ্ঞতা,দূরই,হল,ভবে, আপনাকে,পুরুষ,চাহিদা,হওয়া,শিখিয়া,সংক্রমণ,নির্দেশনাবাদী,আপনারকে,উচ্চই,এবং,আপনার,চাহিদা,চূড়া, কলঙ্গা,যা,বিশ্ববিদ্যালয়েরওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়ায়ওয়াयः।
হাড़।মৃত্যু।দূর।
করোনাউদ্ভিদ্যেরআপনিআখুলিকিরচিঠি3জনের1জনেরমধ्यেকोলোউপসर्गথাকেবाএবंআপनार জঙ্গলইআপনিএটিছডळते।পारंपरिक।
মধ્ય રાખવેન - 'હાંટ' મૃત્યુ.
● હાડ - 20 મેકેન પરિવર્તન નિમિત્ત આપણાર હાડ થીમેન ● મૃત - વારીટર ડેટરે થીમેન આમજીક પ્રકૃત બજાર રાખવા કરતાં એવી થીમેન આપણાર સાહસગત થવારે સમજવાર આપણે નારમે લોકજોગરો સમજવાર હતી હવે ફક્ત ફક્ત કરતારકત વગરવવાર કરતી. ● ઘઉડ - 'આપણि' વારીટર સમજવાર વગરવવાર કરતી નારમે લોકજોગરો થકતી હતી હવે ફક્ત ફક્ત કરતારકત ● 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'હવે' 'हवे'
সকল परिवहितित्रेत आपनाके अनुसार साथ मिलान करें जो उनकी विशेषता और चलते हैं। আপনি কখন বাড়ির বাইরে যেতে পারবেন
আপনার একটি মুক্তিসম্ভব কারণ থাকা বাড়ির বাইরে বায়ব্য আপনার বাড়ির বাইরে যাওয়া। যা বাইরে খাড়া উচিত নয়। এইটি আসল। পুলিশ আপনার বিদ্যুতে বাহকা নিজে গরো যদি "মুক্তিসম্ভব কারণ" ঘড়ার আপনি বাড়ির বাইরে যাওয়া এবং আপনারের জন্মে পদলটি (ডিজিটাল পদলটি) প্রদান করতে পারবেন
প্রথম অপরাধের জন্ম আপনাকে ৫০০০ এর একটি ফিঙ্গ্রিং পদলটি (ডিওও) যেতে পারে, পরবর্তী প্রতিটি অপরাধের জন্ম যা ছিপুন্হা হয়েছে ৫০,০০০ পয়ত্র।
একটি "মুক্তিসম্ভব কারণের" মধ্যে, অবশ্চর্ক রয়েছে:
চাকরি
আপনি কেবল কাজের উভয়শোষা,বাড়ির বাইরে যেতে পারবেন,হেথলে,বাড়িতেখে,আপনারা,কাজকা,আপনারা,পড়তে, আসতে,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,
উভয়শোষা
আপনি 'জন্মছিল'।বা 'দত্তা'।সমস্ত 'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'।'শক্তিশালী'
জন্মছিল
আপনি 'জন্মছিল',বা 'দত্তা',সমস্ত 'शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शक्तिशालै',शક्तिशालै',शक्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै',शક्तिशालै'
শিক্ষা
আপনি 'শিক্ষা';জনজগতের 'চটিকড়ায়';চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকড়ায়;চটিকડः আনন্দের সাথে ধোয়া করা এবং পরিচারণা
আপনি বাড়ির বাইরে যেতে পারলেন:
● আপনার সাথেই বাবলের মানুষদের সাথে ধোয়া করতে যেতে (যদি আপনার আইনগতভাবে একটি গঠন করার জন্য অনুমতি হয়েছে) ● ৫টি চাইডিক্সার্ডা বাবল এর অংশে হিসেবে ১৪ বছরের কম বয়সী শিশুদের জন্য অনানুষ্টিক্ষিতিক চাইডিক্সার্ডা প্রথম করতে (উপাধিখ্যাল, বাবা-মার্ক করতে)। এখনও একটি বাড়ির বাইরে যেতে পারলেন (যদি ১৫ জন)
● অসম্মত এবং দুর্লভ বাড়িতেরকে সেবা প্রদান করতে ● জনপ্রিয় মধ্যস্থা প্রদান করার জন্য ● সমস্তাৎপ্রশ্ন:জন্মশিশু (সর্বোচ্চ ১৫জন) ● ৫টিরওই (কেবলমাত্র)জন্মশিশু (সর্বোচ্চ ১৫জন)।
ব্যবহার
আপনি নিজে,অথবা আনা,একজনকের সাথে,পরিবারের,বা,সাথেই,বাবলের,কারোর,সাথে,ব্যবহারয়িত,যেতে পারলেন।এটি,ফলিকল,একজনকের,মধ্যে,সিমিতভাবে,ধাকড়া,হবে,এবং,আপনার,শক্তি,এলাকার,বাইরে,উপস্থিত, করা।উচিত।যদি,আপনার,সমস্তিক,দুর্লভ,বক্ষমা,বধা,উচিত।ব্যবহারয়িত
চিকित্সাসমত:কারণ
আপনি,চিকিৎসা-গণিত,কারণের,বাইরে,যেতে,পারলেন,যার,মধ্যে,একটি(কৌচিড়)-১২(টুইন),গঠণা,মড়িকল, আপনি-এই-মড়িকল-মধ্যস্থ-এবং-জুটি-অবশিষ্ট-অথবা-অবশিষ্ট-আছে।
প্রসূতি
আপনি এমন कामों का साथ धाकर करने का वाहिनी वाइरल वाइरल यहाँ देखें। हिन्दि मनुष्यों के जन्म से शुरू होता है। वह अन्दाजा महत्वपूर्ण है कि प्रश्न करें जो नज़र भेजें। परिचय प्रश्न की एक टीम साथ धाकड़ा पारलें। प्रतिशत और कोरोना डाउनस्ट्रिप्ट पुरुष और एक्सट्रॉप्स एक संग्रह किए जाएं।
छড़ित আপনি বাড়ির বাইরে যেতে পারেন, আপনা বা অনুকৃত। এড়াতে আপনা ফজির কুইকি থেকে বাঁচতে (যেমন ঘরেরা নির্বাতন)
সহজভাবিলীন পরিবর্তন
আপনি বাড়ির বাইরে এমন বাড়ির সাথে যেখা করতে যেতে পারেন যদিও মুক্তিশব্দার রয়েছেন আপনা বিনি কেমার হোমে আছেন, (যদি হয়েছে কেমারের নির্গমণ, হস্পিস, যা হাসপাতাল ধারা অনুমোদিত) খাকে, আপনা মেডিকেল আপগতমোহিতের অন্তরকারীর সাথে যেতে হবে।এমন (জেট)।
পশুকলাল সংক্ষেপ্ত কারণসমূহ
আপনি পশুকলাল সংক্ষেপ্ত কারণের বাড়ির যেতে পারেন, যেমন পরমর্শ বা চিকিৎসার জন্য
পশুচিকিৎসা-সমবদ্ধ পরিবহণগুলিরওয়াড়া।
সম্ভবভাবত্তা ১০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০০000000000000000000000000000000000000000000000000000000
আপনি বাড়ির যেতে যেতে,পারবেন,সাম্প্রদায়িকতা,জনা,মধ্যা,সম্প্রদায়কিতা,কলা,অজ্ঞাতিকিমা।বা,অন্তর্জাল,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়া,য়াং
আপনি 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ্ব' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व' 'বিশ्व'
অভिभাষক:কुইকি-গতি-কারণসমূহ
আরও:মুক্তি-গতি-কারণসমূহ।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও।এখনও。এখনও。
অল্লান:লকজলজের साथे धोखा करना
बाड़िया या संग्रह वाले ना होते कोन परिवारिक सदस्य या वहुले साथ मानविक धारा धारा करते या या जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी जोडळी
आपनि हिसालना परिणति का कारण समूह (ये में पिछले कारण समूह) ব্যাখ্যা
বাউঁর বাইরে সময় কটিলা। আপনারকে কমিশন অনুসন্ধান হলে, কিছু আপনি ব্যাখ্যাম করতে বাউঁর বাইরে থেকে পাল্লবেন। এটি দৈনিক একবারের মধ্যে সিমানা থাকতে হবে, এবং আপনার শাস্তি এলাকার বাইরে উৎসর্গ করা উচিত নয়।
আপনি একটি পার্থিবিক আউটডোর আমের ব্যাখ্যা করতে পারেন:
● আপনি একা করতে পারেন ● যে লোকজনগুলোর সাথে আপনি বসবাস করেন, ● আপনারা সংশোধিত বাউঁদের সাথে (যদি আপনারা আইনগতভাবে একটি গঠন করার জন্য অনুমতি থাকে) ● ১৫টি ট্রিঙ্গকেমারা বাউঁদের যথেষ্টশীলতা। প্রদান করা হচ্ছে ● যা, যখন আপনি মিজেএকা, অনা।পরিচয়ের ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০০টিরও ১০0টিরও 10000000000000000000000000000000000000000000000000000000000000000000000000000000 ৫ বছরের কম বয়সী শিক্ষার্থী শিখতে এবং নিরবাচনিত পরিচালনার গ্রহণের এমন অক্ষম বাড়ির জন্য সর্বোচ্চ ২ জন পর্যটন পরিচালকতামীনের হয়েও বাইরে যায়মান করা। সমাজের শীতলতা সংখ্যার বিধি নিশ্চয়তা মধ্যে গণনা করা হয় না।
যদি আপনার (বা) আপনার পরিচালকের আইনে এমন বাড়ির) এমন কোন শারীরিক অবস্থা থাকে যার জন্য আপনার বাড়িতে ধরে রাখতে বাড়িতেই অপসারণের বাইরের যাওয়ার উপযোগিতা হয় - যার মধ্যে আপনারা ছুটিরা,এলাকারা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইরেরা,বাইरেরা,বাইरे
আপনার বাড়িটি কথা।সাথে -জীবন -আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনি।আপনि
ফেসকভিংশমুখ
আগম্যকে अनुभवी अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्था और अनुभवी विशेषता केंद्र कठिनता पर्याप्त धारकता होता है, घोषणा देखें वह उपलब्धता का स्वास्थ्य व्यवस्थা আপনি যে পরিবারে বয়বাস করছেন যখনকাল যদি ১৪ বছরের শিক্ষার কোন সমস্যা থাকে তবে আপনি চাইতেকেয়ার বাহল গঠন করতে পারবেন। এটা অন্ত আরেকটি বাড়ির সবচেয়ে বাড়ি। আমাদের পরিবারের অন্তর্ভুক্তিক চাইতেকেয়ারের অনুমতি প্রদান করব।
আপনি সামাজিকভাবে চাইতেকেয়ার পাশাপাশি এখা করতে পারবেন না, এবং অবশ্যই চাইতেকেয়ার এবং সামগ্রী বান্দরের সমস্যার সাথেও একই সাথে খুবই কথা। এটিইইচল্লোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোহোहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहूहु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हु हu h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u h u hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hi hihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihihiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiiiii iiieeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee eeeeee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee ee eiieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeieeiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiieiiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejiejejijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijiijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijijojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojoiioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiioiiooioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioioi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi oi ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois ois oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooww w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww ww wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www www
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<td><ul><li>মোহাল সার্ভিসেন দ্বারা অলাপ পরিচালনা করে। একটি শিশুকে বা শিশুদেরকে লাগতে যা রাখার মাধ্যমে করতে</li></ul></td>
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<td><ul><li>প্রথমজনিত সমীক্ষার জন্য</li></ul></td>
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<td><ul><li>আবশ্যকতালীন পরিবর্তন প্রদান করতে, এবং আধারে বা অসুস্থতা এড়াচ্ছে, যা জীবনের শুরুতে থেকে বাঁচতে (যারওয়া নির্মিতভাবে সংস্থা)</li></ul></td>
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<td><ul><li>এখনও কারণের সাহায্যে করতে যেতে পরিণতি মুক্তিপ্রদানের সময়েই অথবা নিমিতি কেয়ার হয়েছে</li></ul></td>
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<td><ul><li>হাসপাতালের চিকিৎসা সমীক্ষা আগ্রহের অথবা অতিক্রমকল্পনার জন্য বড়ো বা পরিবারের কাছের সাহায্য</li></ul></td>
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<td><ul><li>কোনো আইনি পদ্ধতির পূর্ণকালিরা জন্য, যেমন কোটি, বা জুলি, পরিবহনের উপস্থিতি, হতে</li></ul></td>
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<td><ul><li>জোড়াপাতিরিচারা,বাইবছর,বা,সংস্থা,প্রদান,করতে,যা,কোনো,একজন,কমপক্ষেরকে,অবকাশ,দিতে</li></ul></td>
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<td><ul><li>মুখোমুখি,কঠিনতা,পরিবহন,বা,সংস্থা,প্রদান,করতে,যা,কোনো,একজন,কমপক্ষেরকে,অবকাশ,দিতে</li></ul></td>
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<td><ul><li>বিবাহ বা समझौता अनुसंधान करें। एक्ट केवल विशेष परिस्थितिओं आवश्यक हैं और वहां से महत्वपूर्ण धारणा धारण करें।</li></ul></td>
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<tr>
<td><ul><li>अखिलभारतीय जनता - सर्वोच्च 30 जन पर्यंत लोक। अथवा औपचारिक आदरणीयता पूर्ण होती है।</li></ul></td>
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<tr>
<td><ul><li>6 अथवा अनुसंधान केवल एकदमी योग्य होता।</li></ul></td>
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<tr>
<td><ul><li>अधिकांश प्रश्नों वाहित करें। (एवं) अथवा जानें कि कैसे करें। या एक्ट के लिए कैसे करें।</li></ul></td>
</tr>
<tr>
<td><ul><li>हर जब दान-मा / अधिकारक - या कोई सरकारी अधिकारी प्रश्नों के अनुसार - प्रश्नोत्तरीकरण। एवं प्रश्नोत्तरीकरण करें।</li></ul></td>
</tr>
<tr>
<td><ul><li>बाँচি'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'ব'</li></ul></td>
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</table>
যদি আপনি নিময়ভাঙ্গন
যদি
যদি আপনি বৃত্তিতে প্রকৃতিশীল সাথে দেখা করলে পুরুষ আপনার বিবৃতি বাবা নিতে পারে। এর মধ্যে রয়েছে আবিষ্কৃত জমায়েত ফর্তভস্ক করা এবং জরিমানা (ফিঞ্জড পদার্থটি লোটিশ) ধার্মি করা।
প্রথম আপনারের জন্য আপনাকে ₹২০০ এর একটি ফিঞ্জড পদার্থটি লোটিশ দেওয়া যেতে পারে, পরবর্তী প্রতিটি আপনারের জন্য যা বিবৃতি হয়েছে ১৬,০০০ পর্যন্ত হবে। যদি আপনি ৩০ অবশেষেও বেশি লোকেরওএকটি আবিষ্কৃত জমায়েতের অংশগ্রহণকেন্দ্রের সংস্কর্ষণ,তবে পুরুষ ₹১০,০০০ জরিমানা ধার্মি করতে পারবে।
করোলাভাইরাসের বেশি মুক্তিকিতে রয়েছে এমন লোকজনকেইলক্ষা करता है।
আপনি यदि चिकित्सागठनात्मक मुख्य व्यवस्था, तब आपनि करोलाभाइरास से कारणीय प्रतिक्रिया उत्पन्न होगी। यह सकल लोकजन चिकित्सागठनात्मक करोलाभाइरास के लिए अंतर्गत पुरुषता के जन्म आधारित प्रक्रम संबंधित है। यहाँ किसी कोशिश करें अंतर्गत पुरुष आधारित पुरुषता प्रक्रम संबंधित है। इसके अलावा, प्रतिक्रिया कोशिश करें उत्पन्न होगी। आपने वाहिनी कोशिश करें समय समझें करें। उत्पन्न होगी। आपने सुधा डाक्टर को खोजें, क्या समय एवं जलवीय कोशिश करें वाहिनी कोशिश करें समय समझें करें।
काजे माओवा
आपनि केवल काजेरे उपचार में वाहिनी वाहिनी में घोषणा करें। पारवहन पहुँचे, अभयारण्य।
यदि लोकजन कोशिश करें था, था, कोशिश करें कोशिश करें, कोशिश करें, कोशिश करें, कोशिश करें।
निर्णय संभवतः प्रतिक्रिया में प्रतिक्रिया में प्रतिक्रिया में प्रतिक्रिया में प्रतिक्रिया में प्रतিক्रিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়া में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়ा में प्रतিক্রিয়া में प्रति
- **अटल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकल** - **अवकল**
- **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः** - **संभवतः**
- *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटिल* *जटิล* *जटิล* *जटิล* *जटิล* *जटิル* *जटิล* *जटิล* *जटิล* *जटิล* *जटิル* *जटิル* *जटิル* *जटิル*
- \*नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:नि:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:নি:
- *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* *उद्:* দেখতে সচন্দ্র রাখার জন্য এবং বিভিন্ন ধাত ও নিয়োগকালীনতরেক সহায়তা করার জন্য এটি করা প্রয়োজন।
মধ্যের আপনার পক্ষে আরও লোকের উইডিট করা করার প্রয়োজন হয় - উপাদানপ্রস্থ, মানি, ক্রিস্টাল বা বাস্তবশাস্ত্র - অনিমি ডা করেছেন। পরবর্তীতে, আপনার (কোলা) মুখভঙ্গুর বাইরে বা বাগানের জন্য (দেখা- সাম্ছতক) করা। এছাড়াও উইডিট, যেখানে কোডিড-১৯ সুরক্ষা বাস্তবপ্রস্থ। বহন না-ও-থাকতে পারে।
নিয়োগকর্তা এবং কর্মশক্তিশীলদের ভালভাবে কাজের বাধাৎি নিশ্চিত আলোচনা করা।উইডিট, এবং নিয়োগকর্তাদের উচিত তাদেরকে কর্মশক্তিরা বাইরেই থেকেই করা।কাজেরা জন্য সমস্তবাৎকেরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরিরি কাজে।জন্য,উপসংহারকে,আমদানিকে,এবংসময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময়সময় খববববববববববববববববববববববববববববববববববববববববববববববববববববববববববববববববববববব খখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखख ধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধধधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधधध�������������������������������������������������������������������� ষষষষষষষষষষষষষষষষষষষষষষষষষষषষषषषषषषषषषषषषषषषषषषषषषषषষষষষষষষষষষষষষষষষষষষষষষষষষষষষষষषषषषषषषषषषषषषषषषṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣṣ শশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশশशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशशশশশশশশশশশশশশশশশশশশশশশশশশশশশশশ গগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগগगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगगग পপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপপपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपपप प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प प এই গণিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতজিতजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिजिज এই গণিতজিতজিতজিতজিতজিতজিতजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजजज এই গণিতজিতজিটে, । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । । 。 এই গণিতজিটে, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই, এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই,এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, এই, � � � � � � � � � � � � � � � � � � � � � � � � � � � एएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएएथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β β β β β β β β β β β β β β β 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ii ii ii ii ii ii ii i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I II II II II II II II II II II II II II II II II II II II II II II II II II II II II II II III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III III IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV IV V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VI VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII VIII IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX IX X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XI XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIII XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XIV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XV XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XVI XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX XXX 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<table>
<tr>
<td>● মেডিসিন ও ডেন্টিক্রি</td>
</tr>
<tr>
<td>● ওষুধ / গ্যারের সাথে অডিউড বিবক্ষণীয়</td>
</tr>
<tr>
<td>● পশুচিকিৎসা সামরিক বিজ্ঞান</td>
</tr>
<tr>
<td>● শিখা (প্রাথমিক শিক্ষক প্রশিক্ষণ)</td>
</tr>
<tr>
<td>● মানবতাকে কর্ম</td>
</tr>
<tr>
<td>● যে সব কোর্সে পেশাদারী, সর্বোচ্চ এবং নিম্নমূলক দক্ষতার (পিএসআরবি) মুদ্রালয় এবং অথবা হাতাধারকের কার্যক্রমের প্রয়োজন হয় যা আনুমানিকে নির্ধারিত ছিল এবং যেখানে পৃথকনির্ধারণ</td>
</tr>
<tr>
<td>করা যাবে না (আপনার বিশ্ববিদ্যালয়ের আপনাকে অবহিত করবেন যদি এটি আপনার ভেতরেও প্রয়োজন</td>
</tr>
<tr>
<td>হয়)</td>
</tr>
</table>
ছয়েছিরে যাওয়া শিক্ষাশীল। বিশ্ববিদ্যালয়ে ফিরে আপনার পরভোগকেইদুইবারটুনটা ছবি, অথবা এর পরিবর্তেইদুইদিনেজনাআপনারভালকেছবি,অথবাএর যেসবশিক্ষা-উপযোগকোর্স(কোর্স)কেইভাগেরযখনসময়সেখানেভালকেছবি,অথবাএরজনাআলফলটারটারপুল,কতকতা হবাভালকেবিশ্ববিদ্যালয়বা'কতকতা'সুবিধা'অনুশীলন'অথবা'ফেডফরাইজ'মাঝখানি'সময়'পরস্থ।এর মধ্যেলখা'আপনার'বাহমহিটক'কোর্স'শিক্ষাশীল'।যারা'উপরের'ভলকি'ছবি।
আমরাএরআগেকি'ভদ্রতা'শিক্ষা'টি'চঠি'নির্ণয়ে'উচ্চশিক্ষা'ছিল'আগত'পরে'সেই'ছবি'ছবি'শিক্ষাশীল' এবং'শিক্ষশীলদেওজনা'শিক্ষশীল।এইশিক্ষশীলকথা'ধরিরকম''কথা''হয়''এই'শিক्षশীল''আমরা'উচ্চশিক' প্রদানকৌড়িয়ায়সময়সময়করণবতএই'শীতকৌড়িয়া'বিভিন্নি'পর'পড়াদীভিড়িয়ায়'বতএই'সঙ্গত' নির্দিষ্টকথা''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছবি''ছ আপনি'খদি'বিশ্ববিদ্যালয়েওয়াখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখখखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखखख������������������������������������������������������������������������������ আপনি'ধদि'বিশ্ববিদ্যালয়েওয়াথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথথथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथथθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθθ ততততততততততততততততততততততততততততততততততততততतततततततततततततततततततततततततततततततततततततततततततततततततततततततत ভদভভভভভভভভভভভভভভভভভভভভभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभ 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Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataka Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Karnataca Carnat... <watermark>Karnataka Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannad... <watermark>Karnataka Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Kannada Cann... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnataka Kana... <watermark>Karnatak... ● आर्लिंग इमारत प्रतिकृतिजनुगा (नारायणि एवं चाईडेन्महितार सह) थोला धाकदेव ● चाईडेन्महितारादेवांचे उत्तिष्कृत क्रूलवधी शिशुपारे घाडा अनामा शिशुपारे झालेकी भावी उपस्थिति धाकदेव अनुमती देऊया। कृष्ण बधीया शिशुपारे जना (विशेषपणे क्रूलवधी सह) चाईडेन्महितारांचे सुधुकात पूर्णता पूर्ण होणे एवं महत्त्वपूर्ण क्रीडीया महत्त्वपूर्ण कर्डी करणे उठेगा। ● मुखळा पिस, एवं प्रजटुक्ता क्रीडीया महत्त्वपूर्ण चाईडेन्महितारांचे एवं अनामा चाईडेन्महितारांचे कर्फ्यूकरण (स:याखोआजोडित केवलपणे) यावरा चलिये येऊन परवंबन ● अनुसूचिक क्रूलवधीसहजे उपस्थिता शिशुपारे अना मुखळा पिस करणे, कथा पिस करणे पदानं, कथा पिस करणे संध १५ एवं कथा होणं। एवं प्रजटुक्ता कथा-माकेक कथा करणे संध करणे जना, एवं प्रजटुक्ता मधे समजिकी मोघोयोगी सम्रतम करते अवशदीय बाह्यभार करणे। ● किफ़िक, परिवारचे पदानं, बाबले थेकेओ उपकृत मत्र परवंबन ● मानिला, बटिडेड सह, परिषेवा प्रदान करणे अवशदीय प्रत्यक्षत समझ हवंबन
धमश
मुक्तसंगत करणे सा धाकदेव कोशकला आपणि अदशि बटिडे बाबले मानना (येमन कछुरी, का सिख़्गड़ा काढी)। आपणाला हवंबन करणे परकार हले आपणकी सहीती लगभग हवं - सार्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़्ख़ुकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकोकォ ● हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद्धा, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধা, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, हस्तश्रद্ধा, ● संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि संधि ● महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महततम महততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহততম মহతতম মহతতম মহతতম মহతতম মহతতম মহతতম মহతতম মহతতম মহతতম মহతতম মহతતমেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরেরএবং ● ৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪৪ ● 444444444444444444444444444444444444444444444444444444444 ● 33333333333333333333333333333333333333333333333333 ● 222222222222222222222222222222222222222222222 ● 11111111111111111111111111111111111111111111 ● केंद्रों आपनी परिष्कृति एवं कार्यक्रम , या पशुचिकित्सा सामुदायिक परिष्कारोंगोते अंश लेओया
आपणाचे अदृश्य उपलब्ध करावे दरकार होय तरे सध्या हल्ले छिट्टून बा इटाईकेल चलितीय यान, एवं आपण थेकेकेल परिष्करणना कुंजुन या बाह्य समय एवं पहा जिज्ञेश्वरीचे चलन। उपलब्ध करावे समय एटी आपणाकडून कामगणिक पूरक वजनाये राखा अनुसूचीन करावेर अदृश्यता घेते।
आपणाचे बाटिरे वाईरेलया आपणाचे संधारी बायोलेस बायोलेर कारक साथे गति प्रत्यक्ष करणे करता अधिकता चलन। प्रति प्रत्यक्ष करणे करता प्रशंसकीय सिद्धपत्रा मेंचुला।
आपणाचे अदृश्य पद्धतीकरण क्रमशः संधारी करणे संधारी करणे समय होय, तर्था आपणाचे मिराणदृष्टी प्रमुख सिद्धपत्रा मेंचुला होय।
अधृतजितिक प्रभूषण
आपणी केळल आधारजितिकतवये हमने करते पारेल - बा इटॉकेक्र महत् - प्रथमत केखानेने आपणाचे बाटिरे वाईरेलया हवागता आपणी अदृश्यता महत्तवी. हचडगो, आपणी मे होसे हमने करतवन करवलेला संधारी क्रमशः प्रशंसकीय सुझूला हवेलोगो, हवेलोगो, हवेलोगो.
चलन हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलोगो हवेलォ
बढ़तमान मिश्रण संधारी क्रमशः मुकुन्डाजीया वाईसिप्पडा संधारी क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रमशः क्रমশ়া সারা রাতের জন্য বাটিরি বইয়ের অবস্থান করা আপনি আপনার বাড়ি বা আপনি খেখানে বসবাস করছেন সেই ছুটি দুটি যা রাত কাটানোর জন্য আপনি ভাগ্য করতে পারবেন না যদি না এটি করলে কোনো ধূর্বিকসজ্জা কারণ না থাকে। এর অর্থ হল শুকরজোড়া এবং বিদ্যমান দুটি কাটানোর অনুমতি লেই।
এটি বিভিন্ন বাড়ি যা কারাগারের অবশ্যময়কেরকে অনুরূপকেরকে, যদি না এটি আপনার প্রথমিকভাবের বাসস্থান।
এতে অনুরূপকেরকে, আপনি যারা মাথা,বাসস্থানের না।এমনকেরকে,মাথা,ধাকা,যদি না।আপনারা,সংশোধন,বাইরে,থাকবেন।
আপনারকে,আপনারা,বাড়ির,বাইরে,রাতে,আপনার,করা,অনুমতি,গেওয়া,হবে,যদি,আপনি:
●আপনাররা,সংশোধন,বাইরে,রাতে,আপনার,করা,অনুমতি,গেওয়া,হবে, ●আপনাররা,সংশোধন,বাইরে,রাতে,আপনার,করা,অনুমতি,গেওয়া, ●বাড়ির,বললোয়ারা,সংশোধন,বাইরে,রাতে,আপনার,করা,অনুমতি, ●আপনিকিওয়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়ায়, ●কারণেরওয়ায়ায়, ●এতেএতেএতেএতেএতেএতেএতেএতেএতেএতেএত, ●গৃহস্থিতি,আপনিকিওয়ায়, ●এতেএতেএত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এত, ●এत <watermark>OFFICIAL COPY</watermark> <watermark>14</watermark>
আপনি যদি উচ্চমুখীভবনটি ছুটিত্যথভবনটি।খুললোয়ায়।বিজ্ঞানিদিষ্টিকেও।ক্ষমস্তভবনটি।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুললোয়।খুललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखुललोयःखु� <watermark>OFFICIAL COPY</watermark> <watermark>14</watermark>
ব্যবস্থাপনা-সহজ-ব্যবহারক-ভিত্তিপ্রণিত-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গণ-গण <watermark>OFFICIAL COPY</watermark> <watermark>14</watermark> কেমার হোম পরিদর্শনসমূহ
যথেষ্টপুরুষ বক্ষা মেঝে যাখে পরিমাণটি হিসেব, ডিজিটিভ গ্রুপ এবং আলাদার পেশাদার মাধ্যমে কোমর হোমগুলোতে পরিদর্শন করা যেখানে পার্থ ঘর্ষিত সম্পদ্রণা আছে হয় এমন-ওয়াজারা। অভিজীবি পরিদর্শনের জন্য অনুমুদিত নয়। সংশোধনশটির প্রাচুর্যের কারণে কোমর পরিদর্শনের অনুমতি দেওয়া হয়েছে।
কৌড়িড-১৯ চালাকলিনি সময়ে কিডভাবে পরিদর্শন করতেছে যেখানে সম্পদ্রণা আলপনার কোমর।হোমগুলো। পরিদর্শনকা.কারা.সম্পত্তির বিনিময়া।বাড়িই করতেছে।বাড়িদানা।বাড়িতে বড়ায়ারা।সময়ের মধ্যে লকসদের।সাথে।এখনকার।পারা।(উদাহরণসমূহ)।পারবিবাহিক।বাড়িতেভাগ্যে।আফ্রিকানদের।দাখি।(লেখা)করতে। সাধারণতি লিভিংড।এইঅবশতকলিনীদেরজনা।আলপনা।লিভিংড।আছে।
অত্যন্তচিক্রিয়সমূহ
উপসজিতেকারণিরীশিানিাজনিায়িিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििििিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিিิ
অত্যন্তচিক্রিয়সমূহ
উপসজিতেকারণিরীশিানিাজনিায়িই.দ্বয়.এইঅত্যন্তচিক্রিয়ায়.এবংব্যতীতচলমান।পরব্যবস্থা।বাড়ায়ায়।কোমর।কোমর।কোমর।কোমর。
অত্যন্তচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচলমানচलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमानचलमाण्डा.
ববব, বহভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভভभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभभbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhbhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
ববব,এবংবহভভভভভভভভভভভভভভভভভভভভভভভভ bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bh bhhh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh hhhh bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbb bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb আপনি কোনো একটি সেবার জন্য উপসম্পদ করার হাতে যোগ দিতে পারবেন। তবে, আপনার অবশ্যই আপনার বাড়ি বা সামান্য বাংলার বাইরের কারওয়াস মেলামেশা করা উচিত। আপনাকে সবসময় কাঠের সামাজিক দুর্গ বজায় রাখতে হবে।
আপনাকে উপসম্পদ করার হলুদগুলোর নির্মাণ বাধ্যতা বিশ্বকে জীবিত নির্দেশা মেলে চলতে হবে।
খোলাধুলা এবং শারীরিক ক্রিমকল্পণ
ইলড়ের জিম এবং জীবা মুখধা বছর। আউটডোরের শোটস কোট, আউটডোরের জিম, গলফ কোর্স, আউটডোরের সৌনিৎসি, ভীরদাজ/ভীরদাজ-শৃঙ্গিং রেম্সএবং লাইভিংস্টন্ডিরা বছরকেই করতেই। প্রতিবন্ধীদের জন্য সংগঠিত আউটডোরেরখেলা, অবশ্যই, वाहन का अनुसरण और वाहन के लिए विशेष आवश्यक है।
অভিজ্ঞতা: খুবই। अवश्य थाना परिष्कृत संगठन के लिए आपको मिश्रित करना चाहिए।
বাড়ি বদলানো
আপনি এখনও বাড়ি বদলতেনি।বাড়িয়াকেও,আপনারা,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাড়িয়াকেও,বাডङ্গा की विशेषता है।
এস্টेट एवं लेटिंग आउटडोर एवं रिम्फुल्लाल फार्मशूल कार्ज करके चलिये। आपनि यदि बाढळी बदलते होते पारवेन।
बिना पानी के बाढळी बदलते होते पारवेन।
बिना पानी के बाढळी बदलते होते पारवेन।
आश्रित सहमता
আপনি যথেষ্টই ধরনুন।না।কিন্তু,আপনি আশ্রিতিকসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা।পণ্ডিতসহমতা。
• **व्यवसायीदेश** का अधिक सहमता पाकेज • **ट्राइट्रिक सिद्धांजलि का संचालित** करने का सहमता • \*\*कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोना कोरोন
<table>
<tr>
<td>• সেন্ড-এমএমএনটি ইউকাম সাধারণ ছিদ্রের মাধ্যমে আপনি কোলে অনুগাল থেকে পরিবে ফিনা তা</td>
</tr>
<tr>
<td>যাচাই করুন</td>
</tr>
<tr>
<td>• আর্টিক সংস্থা দিনি আপনি কোলেলাহারাস কার্যক্রম কাজ চুড়াই হন</td>
</tr>
</table>
ব্যবসা এবং ভেন্যু
বাসা এবং ভেন্যু অতিশয় অবশ্যই বদ্ধ করতে হবে
সামাজিক যোগাযোগ করারোরা জনা, প্রতিষ্ঠানগুলোতে কিছুকিছু ব্যবসা বদ্ধকেরেরও ওঠেওয়ার এবং কিছুকিছু বদ্ধকেরা কিছুভাগেরা পণ্য এবং পরিবহনযোগ্যতা সরবরাহকেরকেভাবে তারা উপযোগিতা আরোপ। বদ্ধকেরা প্রয়োজনের এমন পথ ব্যবসার পদ্ধতির ভালভাবেই ইঞ্চিলাইডের কিছুকিছু বদ্ধকেরা এবং ভেন্যুও বদ্ধকেরা নির্দিষ্টকারণেওওয়ার, কিছুএরও মধ্যে যথেচ্ছ:
• <watermark>অপসম্মত</watermark> (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমন, (জন্ম) -মেমन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जन्म)-मेमन, (जన्म)-मेन,</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পত</watermark> <watermark>অপসম্পत\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。\</水印文字不完整,无法翻译。请提供完整的水印内容。</watermark>
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کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا کللا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکا كللکа كللکα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κλλκα κ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ χ όχ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ οξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ αξ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ ββ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ γγ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ δδ εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε εε σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ σσ 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* वोटोलिन्काल गर्देन, हैरिटेज होमस एवं दर्शनीय खानकुलोला मत। जेडुगुलोले अन्तरजीवी प्राकृतिकपुण्य आवश्यकता आवश्यक बद्ध राखेत छवि, यनिंद आवश्यकतालाई वाहीनेर माठगुला थोला थाकेत पारवे आउटेडेट यावामासे जना।
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* सरकार करिबख्यालुका काफिलिटि घेमन चुना, लोपन्द, टाइग्र एवं केलेन सन्दूल। टाउटू पालर्स, स्पा, मास्कर परिष्कर्ता, सहीर एवं क्रिक विश्वासि करार परिवहनपुण्योँबोँब बद्ध राखेत हवे। ऐसे परिवहनपुण्योँबा अन्य वाहिनी बाटिडडेगि सिद्गि प्रधान करा याला मा।
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* कृषिमत्री संदेश एवं हलमुकुलाई आवश्यक सीमित संचयका बाटिडडभनी कार्यक्रम वाभीं कबद, राखेत हवे, येमसि कछि क्रिकट हवेगा। आयटि कछि क्रिकटलिङल सरिब्रयपुण्यलाई आदमस संधयाले कला महत्त्वपुण्यता। थोला थाकेत पारवे - उपाधतखबृथपुण्य समय केलेकते कला माला क्रिकट-आदि-कालके परिवहनपुण्यले कला
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एचडडा क्रिकट बद्धा एवं क्रिकट आयता एकटि सबै संधारक प्रवाहकमसे कला थोला थाकेत अनुभवि होइस। हैरिटेज क्रिकट, बद्धा, प्रथम (जेडु) सबै कलरहे क्रिकटलिङल संचयको सबै क्रिकट समशूँ, हज़लिका पगँगा सयाब, क्रिकट एउ मधे मस्थ:
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* सिखि्या एवं प्रशिष्ठण - मुखपुण्यले मोहनदुगा, अवसर संक्रमणलि सूचयधुगा प्रवाहकर करार कला।
* होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइस् होइс
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* कठफतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতকতકતકતકતકતકતકતકતકતકતકતકતકતકતકતકतકતકતકतકतકतકतકतકतકतકത
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* कठफतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकतकတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကတကτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτκτک τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ κ τ ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ک ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك ك كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل كل 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<img>A map showing the location of the city.</img>
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<li>अज्ञातवशीली धुरा। विजेता योगम धारारें डाकन, मूत्रालाभर्जी, फादसि, गार्डेन सेल्टर, विभिन्न मार्चेट एवं विभिन्न तैरियर पक्ष सरकारकारी एवं लाइनक्सबीचीन बाजारें के स्थल</li>
<li>हेलोला अज्ञातवशीली धुरा। पण्डा विविध करे देखुला थे। धारा धारा</li>
<li>महत्त्वपूर्ण परिवारवाणी सरकारकारी बाया पुलुओं थे। धारा धारा, योगम के तारा प्राथमिकता के संबंध में परिवारवाणी सरकार करे धारा</li>
<li>पंडल (संभव, यह कठिन) (किंतु मनुष्य के) कार ओशा, पट्टि महत्त्वपूर्ण प्रदेश हैं एवं एमटीटी परिवारवाणी, सरकार के तारा कठिन।</li>
<li>यादक, विभिन्न सोमसीटी, डाकथर, यह-समझी कण सरकारकारी एवं मनि ट्रॉफिका के संबंध हैं</li>
<li>अज्ञातवशीला परिचलकण</li>
<li>नदीटोन: एवं डेटोल परिवारवाणी</li>
<li>चिह्निसा: एवं डेटोल परिवारवाणी</li>
<li>पुनः, सरकारवाणी के कुलपति के कण प्रति संभवतः संभवतः प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रति प्रतি
<table>
<tr>
<td>● काइरोपोर्डिंग</td>
</tr>
<tr>
<td>● काइरोप्रॉजेक्टर,</td>
</tr>
<tr>
<td>● अनुट्टीयाग</td>
</tr>
<tr>
<td>● जलाला चिकित्सा या शाखा सेवा, यार मध्ये रहते हैं मानसिक याखा, मनप्रकृति देवा</td>
</tr>
</table>
जरूरी और अ-जरूरी परिषदवाणुलेक किरापद परिचालित करते आम्रा एनडीएस-के सहयोग। करणि, एवं এটা জরুরী - এমসে কেন্দ্র যে মানে কার্যে যে ভাবনে কোনো ধরণের চিকিৎসার প্রয়োজন রয়েছে এবিষয়ে এসে সহায়তা চায়
বৈশিষ্ট্যগাল সরকারি পরিষদবা অধ্যাপক থাকবে এবং আপনি দেখুলা ভিজিও করার জন্য বাড়ি হতে থেকে পারবেন। এতে অতর্কৃক রয়েছে:
<table>
<tr>
<td>● সম্পর্কিত ব্লাস সাইটস</td>
</tr>
<tr>
<td>● কোটি এবং প্রথমবার পরিষদবাসমূহ</td>
</tr>
<tr>
<td>● শিক্ষিত (রেজিস্টিফিস) অফিসমূহ</td>
</tr>
<tr>
<td>● শাসকপটি এবং ভিনা পরিষদবাসমূহ</td>
</tr>
<tr>
<td>● বিভিন্নভাবের জন্য, সরবরাহকা করা পরিষদবাসমূহ</td>
</tr>
<tr>
<td>● বড়া, বা বিশালকেল (কেন্দ্রসমূহ)</td>
</tr>
<tr>
<td>● একটি অনিটি পাওয়া, যদি বৈষ্ণবেরা বাড়িতেই বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই, বাড়িতেই,।
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YORUBA
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0546-pdf
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The number of people testing positive for COVID-19 in the UK
Number of cases each day, by date reported, up to 3 Feb
<img>
A line graph showing the number of COVID-19 cases in the UK over time. The y-axis ranges from 0 to 70,000 cases. The x-axis shows dates from September 2020 to February 2021.
</img>
Source: https://www.gov.uk/government/collections/videos-and-datasets-to-accompany-coronavirus-press-conferences
Further details on data sources can be found here:
<watermark>
Cabinet Office Briefing Rooms
</watermark>
STAY HOME • PROTECT THE NHS • SAVE LIVES
The most recent 7-day average is 22,396 cases
7-day rolling average The number of people in hospital with COVID-19 in the UK
Number of people in hospital each day, up to 1 Feb
Source: https://coronavirus.data.gov.uk/ Further details on data sources can be found here: https://www.gov.uk/government/news/sides-and-data-sets-to-accompany-coronavirus-press-conferences
<watermark>
Cabinet Office Briefing Room
STAY HOME • PROTECT THE NHS • SAVE LIVES
</watermark>
<img>
A line graph showing the number of people in hospital with COVID-19 in the UK over time.
The x-axis shows dates from September 2020 to February 2021 (01-Sep, 01-Oct, 01-Nov, 01-Dec, 01-Jan, 01-Feb).
The y-axis shows the number of people in hospital, ranging from 0 to 40,000.
There is a peak around April 2020, labeled "First peak on 12 April 2020".
The line starts at the bottom left corner and rises gradually, reaching a peak around mid-April.
After this peak, the line continues to rise slowly until late January 2021.
</img>
COBR Cabinet Office Briefing Room The number of deaths of people who had a positive test result for COVID-19 in the UK
Number of deaths each day, by date reported, up to 3 Feb
<img>
A line graph showing the number of deaths each day, by date reported, up to 3 Feb.
The y-axis ranges from 0 to 2,000.
The x-axis shows dates from 01-Sep to 01-Feb.
There is a yellow line representing the "7-day rolling average" which starts at around 50 on 01-Sep and increases gradually over time.
The most recent 7-day average is 1,064 deaths.
First peak (highest 7-day rolling average), on 10 April 2020.
</img>
Source: https://www.gov.uk/data/coronavirus-deaths Further details on data sources can be found here: https://www.gov.uk/government/collections/sites-and-datasets-to-accompany-coronavirus-press-conferences
<watermark>COBR Cabinet Office Briefing Room</watermark>
STAY HOME • PROTECT THE NHS • SAVE LIVES The number of people who have received a vaccination for COVID-19 in the UK
Cumulative number of people who have received a COVID-19 vaccination, by date reported, up to 2 Feb
Millions
First dose only Both doses of the vaccine
Source: https://coronavirus.data.gov.uk Further details on data sources can be found here: https://www.gov.uk/government/statistics/videos-and-datasets-to-accompany-coronavirus-press-conferences
<watermark>COBR Cabinet Office Briefing Room</watermark>
STAY HOME • PROTECT THE NHS • SAVE LIVES
<img>
A bar chart showing the cumulative number of people who have received a COVID-19 vaccination, by date reported, up to 2 Feb.
The x-axis shows dates: 11-Jan, 13-Jan, 15-Jan, 17-Jan, 19-Jan, 21-Jan, 23-Jan, 25-Jan, 27-Jan, 29-Jan, 31-Jan, 02-Feb.
The y-axis shows millions.
There are two sets of bars:
First dose only: Dark blue bars.
Both doses of the vaccine: Light orange bars.
</img>
Outcome of hospital patients with COVID-19 28 days after admission, from a sample of UK hospitals
Age
| Age | Died | Ongoing case | Discharged | |---|---|---|---| | 90 and over | | | | | 85 to 89 | | | | | 80 to 84 | | | | | 75 to 79 | | | | | 70 to 74 | | | | | 65 to 69 | | | | | 60 to 64 | | | | | 55 to 59 | | | | | 50 to 54 | | | | | 45 to 49 | | | | | 40 to 44 | | | | | 35 to 39 | | | | | 30 to 34 | | | | | 25 to 29 | | | | | 20 to 24 | | | | | 15 to 19 | | | | | 10 to 14 | | | | | 5 to 9 | | | | | 0 to 4 | | |
Vaccination priority groups 1-4
Vaccination priority groups 5-9
Men
Women
Number of patients, out of 52,729 in the sample
Source: COVID-19 Clinical Information Network Further details on data sources can be found here: https://www.gov.uk/government/collections/situation-and-datasets-to-assess-covid-19-spread-prep-susceptibility <img>COBR Cabinet Office briefing Room</img>
STAY HOME • PROTECT THE NHS • SAVE LIVES
# Statistical notes
**Number of daily cases, UK:** Number of individuals who have had at least one positive COVID-19 test result (either lab-reported or lateral flow device), by date reported (the date the case was first included in the published data). COVID-19 cases are identified by taking specimens from people and testing them for the presence of the SARS-CoV-2 virus. If the test is positive, the person is reported to as a case. If a person has had more than one positive test they are only counted as one case. Cases data includes all positive virus test results, even if they are not confirmed by a lab. For example, positive test results from swab tests performed using a lateral flow device, which do not need to go to a lab, contribute towards the cases total.
**Patients in hospital with COVID-19, UK:** Total number of people in hospital with COVID-19 in the UK. Definitions are not always consistent between the four nations. England data now covers all Acute Trusts, Mental Health Trusts and the Independent Sector and are reported daily by trusts to NHS England and NHS Improvement. Welsh data include confirmed COVID-19 patients in acute hospitals only, including those recovering. The first peak was 21,686 on 12 April 2020.
**COVID-19 daily deaths within 28 days of a positive test, UK:** Number of deaths of people who had a positive test result for COVID-19 and died within 28 days of the first positive test. Data from the four nations are not directly comparable as methodologies and inclusion criteria vary. The 7-day rolling mean average of daily deaths is plotted on the chart on the middle day of each seven day period. Data presented is by date reported rather than date of death or registered. The highest rolling average of the first peak was 942, reported on 10 April 2020.
**Age, sex and status at 28 days after admission** Age, sex and status at day 28 after admission for hospital in-patients with proven COVID-19 infection. Includes patients admitted after 1 August 2020. Only patients with known age and sex at day 28 after admission are included (81.8%). A significant proportion of in-hospital deaths occur more than 28 days after admission. Source: data provided by the COVID-19 Clinical Information Network (CC-CIN) from a large sample of hospitalised people across the UK. Data extracted 2 February 2021. https://saric4c.net/reports/
<img>COBR Cabinet Office Briefing Room logo</img>
# Statistical notes
**Number of people who have received a vaccination for COVID-19, UK:** Number of people who have received a first dose or both a first and a second dose of a vaccination for COVID-19, by day on which the vaccine was reported. Data are reported daily, and include all vaccination events that are entered on the relevant system at the time of extract. This includes reported vaccines that were administered up to and including the date shown.
**England:** Vaccinations that were carried out in England are reported in the National Immunisation Management Service which is the system of record for the vaccination programme in England, including both hospital hubs and local vaccination services. Data are extracted at midnight on the date of report.
**Wales:** Vaccinations that were carried out in Wales are reported in the Welsh Immunisation System. Data is extracted at 10pm on the date of report. No data was reported for 15 and 16 January 2021. The newly reported number for 17 January 2021 includes vaccinations reported on 15 to 17 January 2021.
**Scotland:** Vaccinations that were carried out in Scotland are reported in the Vaccination Management Tool. Data is extracted at 8:30am on the day following the date of report. No data was reported for 15 and 16 January 2021. The newly reported number for 17 January 2021 includes vaccinations reported on 15 to 17 January 2021.
**Northern Ireland:** Data are extracted at the end of day of the date of report.
**Further information and data** UK - COVID-19 in the UK; for further information contact coronavirus-tracker@phe.gov.uk Welsh Government - NHS activity and capacity during the COVID-19 pandemic Scottish Government - COVID-19 daily data for Scotland Northern Ireland - COVID-19 statistics
<img>COBR Cabinet Office Briefing Rooms logo</img>
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ENGLISH
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4685-pdf
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<img>Ministry of JUSTICE logo</img>
# Population in custody monthly tables March 2010 England and Wales
Ministry of Justice Statistics bulletin
Published 30 April 2010 Population in custody monthly tables, March 2010, England and Wales
# Population in custody March 2010: Key points
**Resumption of Publication/Use of new data source/new subcategories of data**
- The monthly population in custody bulletin was last released on 31 July 2009 after which it was withdrawn due to technical problems relating to the supply of data for statistical purposes. This bulletin marks the resumption of the series as announced on the Ministry of Justice website www.justice.gov.uk/publications/populationincustody.htm
- Following the resolution of these technical problems, figures in this bulletin are now based on a new data source and are consistent with the published weekly prison figures. In order to provide a consistent comparison, data for 2009 has also been taken from the new data source, which means that these figures will not match the monthly 2009 data published previously. The total prison population given for March 2009 is 56 higher than the figure previously published.
- There are two changes to the presentation of the data. Firstly, the numbers in each sentence length band now exclude recalls which are shown as a separate subgroup within the total sentenced population (previously recalls were included in the relevant sentence length bands). Secondly, the sentenced population groups “less than or equal to 6 months” and “Greater than 6 months to less than 12 months” have been slightly revised to “less than 6 months” and “Greater than or equal to 6 months to less than 12 months” respectively as a result of using the new data source.
**Population in custody**
- The population in custody on 31 March 2010 was 85,600, a rise of 2,200 from a year earlier. The population in prisons was 85,200 (a rise of 2,200 from a year earlier), in Secure Training Centres (STCs) it was 270 and in Secure Children’s Homes (SCHs) it was 160.
**Population in prison**
- The male prison population increased by 3 per cent (up 2,200) to 80,900 and the female prison population fell slightly (down 6) to 4,300 in March 2010 compared to March 2009.
- It was expected that the ending of the early release scheme would add between 1,000 and 1,200 to the daily prison population.
- The remand population in prison fell slightly from 12,800 in March 2009 to 12,600 in March 2010 (down 150). Within this total, the untried population fell 5 per cent (down 450) to 7,800 and the convicted unsentenced population rose 7 per cent (up 300), to 4,800.
- Amongst the remand population the largest changes since March 2009 by offence group were for drug offences (up 170, 10 per cent), theft and handling (up 70, 8 per cent) and sexual offences (up 50, 5 per cent). The largest proportionate falls since March 2009 were seen in those serving sentences for motoring offences (down 20, 23 per cent), fraud and forgery (down 70, 13 per cent) and burglary offences (down 190, 12 per cent).
\<page_number>1\</page_number> Population in custody monthly tables, March 2010, England and Wales
- There were 71,200 sentenced¹ prisoners at 31 March 2010, up 2,800 from a year earlier. Those serving indeterminate sentences (Life sentences and IPPs) increased by 8 per cent (up 900) and those serving sentences of 4 years or more increased by 6 per cent (up 1,300). There was a fall for those serving a sentence equal to and greater than 6 months and less than 12 (down 110, 3 per cent). However, the number of prisoners serving a sentence of less than 6 months rose 12 per cent between March 2009 and March 2010 (up 520).
- There were 5,500 recall prisoners at 31 March 2010, down 140 from a year earlier.
- Amongst the sentenced prison population the largest increases were for other offences (up 1,000, 16 per cent), sexual offences (up 1,200, 15 per cent) and theft and handling (up 450 15 per cent) from March 2009. The largest proportionate decreases since March 2009 were for those serving sentences for motoring offences (down 180, 16 per cent), fraud and forgery (down 330, 16 per cent) and where offence was not recorded (down 400, 26 per cent).
- The adult population in prison was 73,600 at 31 March 2010, an increase of 3 per cent (up 2,300) from a year earlier. Over the same time period the number of 15 to 17 year olds fell 20 per cent (down 440) to 1,720 and the young adult prison population (see definitions) increased 3 per cent (up 420) to 9,800 at 31 March 2010.
- The prison population was 111 per cent of the 'In Use CNA' (76,540) at 31 March 2010.
- On 31 March 2010, the foreign national prison population was 11,400. This includes those held under the Immigration Act 1971 (including those in the immigration removal centres Dover, Haslar and Lindholme) as well as those held on remand or serving custodial sentences.
- The largest foreign national population at 31 March 2010 were Jamaican nationals, with a population of 960 followed by Nigeria (730), Republic of Ireland (680), Vietnam (590), Poland (670), Somalia (450), and China (430).
______________________________________________________________________
¹ Includes recalls and excludes fine defaulters (see Table 2)
\<page_number>2\</page_number> Population in custody monthly tables, March 2010, England and Wales
**Figure A:** Remand population by offence group
<img>
A bar chart showing remand population by offence group.
The y-axis ranges from 0 to 3,500.
The x-axis shows different offence groups:
- Violence against the person
- Sexual offences
- Robbery
- Burglary
- Theft and Handling
- Fraud and Forgery
- Drug offences
- Motoring offences
- Other offences
- Offence not recorded
For each offence group, there are two bars:
- A dark purple bar representing Mar-09.
- A light purple bar representing Mar-10.
Legend: ■ Mar-09 ■ Mar-10 </img>
**Figure B:** Immediate custodial sentenced population by offence group
<img>
A bar chart showing immediate custodial sentenced population by offence group.
The y-axis ranges from 0 to 24,000.
The x-axis shows different offence groups:
- Violence against the person
- Sexual offences
- Robbery
- Burglary
- Theft and Handling
- Fraud and Forgery
- Drug offences
- Motoring offences
- Other offences
- Offence not recorded
For each offence group, there are two bars:
- A dark purple bar representing Mar-09.
- A light purple bar representing Mar-10.
Legend: ■ Mar-09 ■ Mar-10 </img>
\<page_number>3\</page_number> Population in custody monthly tables, March 2010, England and Wales
Notes
**Data sources and quality**
The data presented in this brief are drawn from the prison administrative IT systems. Although care is taken when processing and analysing the returns, the detail collected is subject to the inaccuracies inherent in any large-scale recording system. While the figures shown have been checked as far as practicable, they should be regarded as approximate and not necessarily accurate to the last whole number shown in the tables. They are fit to be used for purposes of looking at trends and for comparing the relative magnitude of components.
The prison population information is now drawn from a single prison source. Although different from the source used up to June 2009, it contains the same details for individual inmates such as date of birth, sex, religion, ethnic origin, custody type, offence, and reception and discharge dates and, for sentenced prisoners, sentence length. These data are collected on a central computer database and are used to produce all the analyses in this publication.
As a different data source is now being used for this publication comparisons with data a year ago will not match with data previously published for March 2009.
Unless otherwise stated, numbers in the text have been rounded for ease of reading using the following rules:
Numbers of 100,000 and over are rounded to the nearest 1,000 Numbers from 1,000 – 99,999 are rounded to the nearest 100 Numbers from 10 – 999 are rounded to the nearest 10 Numbers under 10 are unrounded.
Information on the population in STCs and SCHs has been supplied by the Youth Justice Board.
All figures are provisional pending publication of the annual Offender Management Caseload Statistics.
**Definitions**
**Population in custody** – this includes those held in prison establishments, police cells under Operation Safeguard, secure training centres (STCs) and secure children’s homes (SCHs). All coverage is for England and Wales.
**Population in prison** – this includes those held in prisons in England and Wales, including the three removal centres (where people are held under immigration powers prior to removal from the UK) of Dover, Haslar and Lindholme.
**Sentenced population** – this includes those sentenced to an immediate custodial sentence and fine defaulters.
**Immediate custodial sentence** – this does not include fine defaulters.
\<page_number>4\</page_number> Adult prisoners – these are prisoners aged 21 years and over.
Young adults – these are prisoners aged 18 to 20, but including 21 year old prisoners who were aged 20 or under at conviction who have not been reclassified as part of the adult population
Indeterminate sentences – these cover life sentences and indeterminate sentences for public protection (IPP).
Recalls – these are prisoners who are returned to custody having broken the terms of their licence.
**Contact points for further information**
Current and previous editions of this publication are available for download at www.justice.gov.uk/publications/populationincustody.htm. Future reports will be published on a monthly basis. Spreadsheet files of the tables contained in this document are also available for download from this address.
Press enquiries should be directed to the Ministry of Justice press office:
Tel: 020 3334 3536 Email: newsdesk@justice.gsi.gov.uk
Other enquiries about these statistics should be directed to:
Ministry of Justice Justice Statistics Analytical Services 7th Floor 102 Petty France London SW1H 9AJ Tel: 020 3334 5064
General enquiries about the statistical work of the Ministry of Justice can be e-mailed to: statistics.enquiries@justice.gsi.gov.uk
General information about the official statistics system of the UK is available from www.statistics.gov.uk
© Crown copyright Produced by the Ministry of Justice
Alternative formats are available on request from statistics.enquiries@justice.gsi.gov.uk
\<page_number>5\</page_number> Table 1: Population in custody: by type of custody and sex
| | Mar-20 | Mar-19 | Percentage change 2009 to 2010 | |---|---|---|---| | | Males | Females | Total | Males | Females | Total | Males | Females | Total | | All population in custody, of which | 78,964 | 4,619 | 83,503 | 81,241 | 4,367 | 85,608 | 3 | -1 | 3 | | Prisoners | 78,853 | 4,296 | 83,149 | 80,894 | 4,290 | 85,184 | 3 | -1 | 3 | | Police cells | 0 | 0 | 0 | 0 | 0 | * - * | | SOIs | 163 | 35 | 198 | 140 | 19 | 159 |-14 |- * -20 | | STCs | 168 | 87 | 255 | 207 | 58 | 265 |-23 |-33 |-4 |
All population in prison, of which
| Sentenced | |---| | Remand | 11,994 | 783 | 12,777 | 11,881 | 748 | 12,629 |-1 |-4 |-1 | | Untrialled | 7,750 | 528 | 8,278 | 7,367 | 466 | 7,825 |-5 |-11 |-5 | | Convicted unsentenced | 4,244 | 255 | 4,499 | 4,524 | 280 | 4,804 | * - * | | Sentenced\* (including indeterminate sentences) | | Fine delinquent\* (less than six months) | | Less than six months\* (equal to six months to less than twelve months) | | Greater than a equal to six months to less than twelve months\* | | Twelve months to less than four years\* | | Four years or more (excluding indeterminate sentences)\* | | Indeterminate sentences\* | | Recidivists\* | | Non-criminal prisoners\* | | All adult population in prison, of which | | Remand\* (including indeterminate sentences) | | Untrialled\* (including indeterminate sentences) | | Convicted unsentenced\* | | Sentenced\* (including indeterminate sentences) | | Fine delinquent\* (less than six months) | | Less than six months\* (equal to six months to less than twelve months) | | Greater than a equal to six months to less than twelve months\* | | Twelve months to less than four years\* | | Four years or more (excluding indeterminate sentences)\* | | Indeterminate sentences\* | | Recidivists\* | | Non-criminal prisoners\* | | All young adults in prison, of which | | Remand\* (including indeterminate sentences) | | Untrialled\* (including indeterminate sentences) | | Convicted unsentenced\* | | Sentenced\* (including indeterminate sentences) | | Fine delinquent\* (less than six months) | | Less than six months\* (equal to six months to less than twelve months) | | Greater than a equal to six months to less than twelve months\* | | Twelve months to less than four years\* | | Four years or more (excluding indeterminate sentences)\* | | Indeterminate sentences\* | | Recidivists\* |
Percentage change from Mar-20 to Mar-19
Remand: -1 Untrialled: -5 Convicted unsentenced: * Sentenced\*: -2 Fine delinquent\*: -1 Less than six months\*: -\* Equal to six months to less than twelve months\*: - Greater than a equal to six months to less than twelve months\*: - Twelve months to less than four years\*: - Four years or more (excluding indeterminate sentences)*: - Indeterminate sentences*: - Recidivists\*: - Non-criminal prisoners\*: - All adult population in prison, of which: Remand\*: -\* Untrialled\*: - Convicted unsentenced\*: - Sentenced\*: -\* Fine delinquent\*: - Less than six months\*: - Equal to six months to less than twelve months\*: - Greater than a equal to six months to less than twelve months\*: - Twelve months to less than four years\*: - Four years or more (excluding indeterminate sentences)*: - Indeterminate sentences*: - Recidivists\*: - Non-criminal prisoners\*: -
\<page_number>6\</page_number>
\\footnote{Includes all those aged \\geqslant~18 and those in prison cells who were aged \\geqslant~18 at the time of conviction who have not been released as part of the adult population.} \\footnote{Indicates that one or both of the comparable numbers are less than $50$ which could give rise to misleading percentage changes.} Table 2: Population in prison by offence - remand and immediate custodial sentence
| Mar-09 | Mar-10 | Percentage change 2009 to 2010 | |---|---|---| | | Immediate custodial sentence | Immediate custodial sentence | Immediate custodial sentence | | Remand (includes recalls) | Remand (includes recalls) | Remand (includes recalls) | | **All prisoners** | **12,777** | **68,426** | **12,629** | **71,198** | **-1** | **4** | | Violence against the person | 3,267 | 19,625 | 3,227 | 20,383 | -1 | 4 | | Sexual offences | 1,039 | 8,065 | 1,087 | 9,302 | 5 | 15 | | Robbery | 1,476 | 8,671 | 1,382 | 8,893 | -6 | 3 | | Burglary | 1,538 | 7,315 | 1,353 | 6,930 | -12 | -5 | | Theft and Handling | 861 | 3,207 | 930 | 3,690 | 8 | 15 | | Fraud and Forgery | 485 | 1,989 | 420 | 1,664 | -13 | -16 | | Drug offences | 1,691 | 10,532 | 1,858 | 10,890 | 10 | 3 | | Motoring offences | 77 | 1,088 | 59 | 913 | -23 | -16 | | Other offences | 1,844 | 6,386 | 1,883 | 7,391 | 2 | 16 | | Offence not recorded | 499 | 1,548 | 430 | 1,142 | -14 | -26 | | **All male prisoners** | **11,994** | **64,989** | **11,881** | **67,733** | **-1** | **4** | | Violence against the person | 3,100 | 18,768 | 3,055 | 19,475 | -1 | 4 | | Sexual offences | 1,016 | 8,006 | 1,061 | 9,222 | 4 | 15 | | Robbery | 1,403 | 8,338 | 1,319 | 8,601 | -6 | 3 | | Burglary | 1,496 | 7,113 | 1,319 | 6,785 | -12 | -5 | | Theft and Handling | 764 | 2,833 | 852 | 3,270 | 12 | 15 | | Fraud and Forgery | 417 | 1,739 | 357 | 1,451 | -14 | -17 | | Drug offences | 1,562 | 9,644 | 1,727 | 10,046 | 11 | 4 | | Motoring offences &nb... Table 2: Population in prison by offence - remand and immediate custodial sentence
<table>
<thead>
<tr>
<th></th>
<th>Mar-09</th>
<th>Mar-10</th>
<th colspan="3">Percentage change 2009 to 2010</th>
</tr>
<tr>
<td></td>
<td>Immediate custodial sentence (includes recalls)</td>
<td>Immediate custodial sentence (includes recalls)</td>
<td>Remand (includes recalls)</td>
<td>Remand (includes recalls)</td>
<td>Remand (includes recalls)</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>All adult prisoners</strong></td>
<td><strong>10,323</strong></td>
<td><strong>59,430</strong></td>
<td><strong>10,297</strong></td>
<td><strong>62,064</strong></td>
<td><strong>0</strong></td>
</tr>
<tr>
<td>Violence against the person</td>
<td>2,588</td>
<td>17,064</td>
<td>2,561</td>
<td>17,747</td>
<td>-1</td>
</tr>
<tr>
<td>Sexual offences</td>
<td>930</td>
<td>7,672</td>
<td>970</td>
<td>8,740</td>
<td>4</td>
</tr>
<tr>
<td>Robbery</td>
<td>964</td>
<td>6,567</td>
<td>888</td>
<td>6,805</td>
<td>-8</td>
</tr>
<tr>
<td>Burglary</td>
<td>1,194</td>
<td>6,199</td>
<td>1,039</td>
<td>5,769</td>
<td>-13</td>
</tr>
<tr>
<td>Theft and Handling</td>
<td>719</td>
<td>2,777</td>
<td>773</td>
<td>3,251</td>
<td>8</td>
</tr>
<tr>
<td>Fraud and Forgery</td>
<td>455</td>
<td>1,923</td>
<td>402</td>
<td>1,619</td>
<td>-12</td>
</tr>
<tr>
<td>Drug offences</td>
<td>1,483</td>
<td>9,754</td>
<td>1,636</td>
<td>10,100</td>
<td>-10</td>
</tr>
<tr>
<td>Motoring offences</td>
<td>64</td>
<td>957</td>
<td>53</td>
<td>825</td>
<td>-17</td>
</tr>
<tr>
<td>Other offences</td>
<td>1,507</td>
<td>5,326</td>
<td>1,617</td>
<td>6,263</td>
<table border="1">
<!-- Table for Other offences -->
<!-- Row 1 -->
<!-- Column 1: Offence number -->
<!-- Column 2: Number of offenders -->
<!-- Column 3: Number of offenders -->
<!-- Column 4: Number of offenders -->
<!-- Column 5: Number of offenders -->
<!-- Column 6: Percentage change -->
<!-- Row 2 -->
<!-- Column 1: Offence number -->
<!-- Column 2: Number of offenders -->
<!-- Column 3: Number of offenders -->
<!-- Column 4: Number of offenders -->
<!-- Column 5: Number of offenders -->
<!-- Column 6: Percentage change -->
<!-- Row 3 -->
<!-- Column 1: Offence number -->
<!-- Column 2: Number of offenders -->
<!-- Column 3: Number of offenders -->
<!-- Column 4: Number of offenders -->
<!-- Column 5: Number of offenders -->
<!-- Column 6: Percentage change -->
<!-- Row 4 -->
<!-- Column 1: Offence number -->
<!-- Column 2: Number of offenders -->
<!-- Column 3: Number of offenders -->
<!-- Column 4: Number of offenders -->
<!-- Column 5: Number of offenders -->
<!-- Column 6: Percentage change -->
<!-- Row 5 -->
<!-- Column 1: Offence number -->
<!-- Column 2: Number of offenders -->
<!-- Column 3: Number of offenders -->
<!-- Column 4: Number of offenders -->
<!-- Column 5: Number of offenders -->
<!-- Column 6: Percentage change -->
Table 2: Population in prison by offence - remand and immediate custodial sentence
| Mar-09 | Mar-10 | Percentage change 2009 to 2010 | |---|---|---| | | Immediate custodial sentence (includes recalls) | Immediate custodial sentence (includes recalls) | Immediate custodial sentence (includes recalls) | | **All aged 15-17** | **510** | **1,653** | **474** | **1,249** | **-7** | **-24** | | Violence against the person | 138 | 433 | 149 | 324 | 8 | -25 | | Sexual offences | 27 | 71 | 21 | 71 | * | 0 | | Robbery | 140 | 441 | 120 | 333 | -14 | -24 | | Burglary | 79 | 259 | 56 | 194 | -29 | -25 | | Theft and Handling | 19 | 122 | 22 | 78 | -36 | - | | Fraud and Forgery | 3 | 3 | 0 | 4 | * | * | | Drug offences | 33 | 80 | 41 | 65 | * | -19 | | Motoring offences | 3 | 17 | 0 | 7 | * | * | | Other offences | 49 | 203 | 48 | 158 | * | -22 | | Offence not recorded | 19 | 24 | 17 | 15 | * | * | | **All males aged 15-17** | **500** | **1,614** | **465** | **1,214** | **-7** | **-25** | | Violence against the person | 136 | 420 | 146 | 310 | 7 | -26 | | Sexual offences | 27 | 70 | 21 | 70 | * | * | | Robbery | 137 | 432 | 120 | 327 | -12 | -24 | | Burglary | 78 | 256 | 55 | 193 | -29 | -25 | | Theft and handling | 17 | 119 | 22 | 74 | * | -38 | | Fraud and Forgery | 3 | 3 | 0 | 4 | * * \*&nbs Table 2: Population in prison by offence - remand and immediate custodial sentence
| | Mar-09 | Mar-10 | Percentage change 2009 to 2010 | |---|---|---|---| | | Immediate custodial sentence (includes recalls) | Immediate custodial sentence (includes recalls) | Immediate custodial sentence (includes recalls) | | **All young adults** | 1,944 | 7,343 | 1,858 | 7,885 | -4 | 7 | | Violence against the person | 541 | 2,128 | 517 | 2,312 | -4 | 9 | | Sexual offences | 82 | 322 | 96 | 491 | 17 | 52 | | Robbery | 372 | 1,663 | 374 | 1,755 | 1 | 6 | | Burglary | 265 | 857 | 258 | 967 | -3 | 13 | | Theft and Handling | 123 | 308 | 135 | 361 | 10 | 17 | | Fraud and Forgery | 27 | 63 | 18 | 41 | * | * | | Drug offences | 175 | 698 | 181 | 725 | 3 | 4 | | Motoring offences | 10 | 114 | 6 | 81 | * | -29 | | Other offences | 288 | 857 | 218 | 970 | -24 | 13 | | Offence not recorded | 61 | 333 | 55 | 182 | -10 | -45 | | **All male young adults** | **1,839** **7,013** **7,786** **7,548** & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & **-3** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** **>-6** | Violence against the person | 516 | 2,010 | 487 | 2,182 | -6 | 9 | | Sexual offences | 78 | 321 | 94 | 486 | *<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*<br>\<<br>*\<b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...b<br>...</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">*</td><td colspan="2">\*</td> | Robbery <table style='border-collapse: collapse;'> <tr style='background-color: #f0f0f0;'> <th style='text-align: center;'>Number of offenders (Mar-09)</th><th style='text-align: center;'>Number of offenders (Mar-10)</th></tr><tr style='background-color: #f0f0f0;'> <td style='text-align: center;'>355</th><th style='text-align: center;'>1,606</th></tr><tr style='background-color: #f0f0f0;'> <td style='text-align: center;'>Sexual offences <table style='border-collapse: collapse;'> <tr style='background-color: #f0f0f0;'> <th style='text-align: center;'>Number of offenders (Mar-09)</th><th style='text-align: center;'>Number of offenders (Mar-10)</th></tr><tr style='background-color: #f0f0f0;'> <td style='text-align: center;'>4</th><th style='text-align: center;'>1</th></tr></table></tr></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table></tr></table>\</tr/></tbody></table>
<table>
<tr>
<td>All female young adults</td>
<td style='padding-right: .5em;'>105</td>
<td style='padding-right: .5em;'>330</td>
<td style='padding-right: .5em;'>72</td>
<td style='padding-right: .5em;'>337</td>
<td>-31</td>
<td style='padding-right: .5em;'>2</td>
<td style='padding-right: .5em;' rowspan='9' align='right'>Figures for immediate custodial population includes recallees, but excludes fine defaulters.<hr/>• indicates that one or both of the comparative numbers are less than 50 which could give rise to misleading percentage changes.</span>
<td rowspan='9' align='right'></span>
<td rowspan='9' align='right'></span>
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<td rowspan '9' align = 'center'>
<img src="/images/table_caption.png" alt="Caption for Table" width="auto" height="auto">
</img>
```
Caption for Table
</div>
<div id="caption_text" class="caption-text">
This table shows the number of people in custody in England and Wales by offence type and gender.
The data are based on the custody population at the end of each month.
The figures include those who have been remanded in custody and those who have been sentenced to immediate custody.
The figures exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but have not yet been sentenced to immediate custody.
The figures also exclude those who have been sentenced to immediate custody but have not yet been remanded in custody.
The figures also exclude those who have been remanded in custody but has
```
**Table 3: Young population in prison: by type of custody and sex**
**31 March 2010**
| | 15 | 16 | 17 | 18 | Total - under 18 | 19 | 20 | 21 | Total Young Adults | |---|---|---|---|---|---|---|---|---|---| | **All young population in prisons, of which** | | | | | | | | | | | **Prisoners on remand** | 41 | 145 | 288 | 474 | 556 | 621 | 589 | 92 | 1,858 | | Untried | 28 | 121 | 208 | 357 | 313 | 348 | 332 | 50 | 1,043 | | Convicted unsentenced | 13 | 24 | 80 | 117 | 243 | 273 | 257 | 42 | **815** | | **Prisoners sentenced** | **104** | **352** | **793** | **1,249** | **1,431** | **2,531** | **2,789** | **1,142** | **7,893** | | Fine defaulter | 0 | 0 | 0 | 0 | 2 | 2 | 4 | 0 | **8** | | Sentences (excluding recalls) | 102 | 345 | 771 | **1,218** | **1,382** | **2,386** | **2,555** | **1,044** | **7,367** | | Recalls | 2 | 7 | 22 | **31** | **47** | **143** | **230** | **98** | **518** | | **Non-criminal prisoners** | **1** | **0** | **0** | **1** | **11** | **18** | **29** | **14** | **72** | | All young male population in prisons, of which | | | | | | | | | | **Prisoners on remand** | **41** | **145** | **279** | **465** | **534** | **593** | **572** | **87** | **1,786** | | Untried | **28** &nb... Table 4: CNA and population by sex and establishment 31 March 2010
<table>
<thead>
<tr>
<th rowspan="2">Establishment</th>
<th rowspan="2">In use CNA<sup>a</sup></th>
<th colspan="2">Total Population</th>
<th rowspan="2">Of which:</th>
<th rowspan="2">UK nationals</th>
<th rowspan="2">Nationality not recorded</th>
</tr>
<tr>
<th>Foreign nationals</th>
</tr>
</thead>
<tbody>
<tr>
<td>Males</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Altcourse</td>
<td>794</td>
<td>1,303</td>
<td>98</td>
<td>1,183</td>
<td>22</td>
<td></td>
</tr>
<tr>
<td>Acklington</td>
<td>949</td>
<td>851</td>
<td>21</td>
<td>865</td>
<td>25</td>
<td></td>
</tr>
<tr>
<td>Achfield</td>
<td>400</td>
<td>235</td>
<td>222</td>
<td>211</td>
<td>2</td>
<td></td>
</tr>
<tr>
<td>Ashwell</td>
<td>184</td>
<td>213</td>
<td>7</td>
<td>206</td>
<td>0</td>
<td></td>
</tr>
<tr>
<td>Aylesbury</td>
<td>441</td>
<td>438</td>
<td>74</td>
<td>364</td>
<td>0</td>
<td></td>
</tr>
<tr>
<td>Belmarsh</td>
<td>800</td>
<td>809</td>
<td>168</td>
<td>685</td>
<td>11</td>
<td></td>
</tr>
<tr>
<td>Buckley Hall</td>
<td>350</td>
<td>383</td>
<td>10</td>
<td>372</td>
<td>1</td>
<td></td>
</tr>
<tr>
<td>Blandeston</td>
<td>481</td>
<td>520</td>
<td>80</td>
<td>437</td>
<td>3</td>
<td></td>
</tr>
<tr>
<td>Bedfordshire House (Bedford)</td>
<td>315</td>
<td>316</td>
<td>100</td>
<td>285</td>
<td>104</td>
<td></td>
</tr>
<tr>
<td>Branby House (Barnby)</td>
<td>122</td>
<td>121</td>
<td>100</td>
<td>120</td>
<td>0</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></tbody></table>
<table border="1">
<thead style="background-color: #cccccc;">
<tr style="background-color: #cccccc;">
<th rowspan="2">Establishment Name*</th>
<th rowspan="2">CNA ID (use only)</th>
<th rowspan="2">Population Total (use only)</th>
<th colspan="3" style="text-align:center;">Of which:</th>
<th colspan="3" style="text-align:center;">Nationality not recorded (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan="3" style="text-align:center;">Use only (use only)</th>
<th colspan "6" style="">Of which:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<th colspan "6" style="">Nationality not recorded:</th>
<table border='1'>
<thead type='summary'>
<tr type='summary'>
<style>.table-header { background-color: #cccccc; }
</style><!-- .table-header -->
<style>.table-header td { padding: 5px; text-align: center; font-weight: bold; }
</style><!-- .table-header td -->
<style>.table-body { border-top: 1px solid black; }
</style><!-- .table-body -->
<style>.table-body td { padding: 5px; text-align: center; }
</style><!-- .table-body td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<style>.table-body tr:last-child td { border-bottom: none; }
</style><!-- .table-body tr:last-child td -->
<style>.table-body tr:nth-child(odd) td { background-color: #f9f9f9; }
</style><!-- .table-body tr:nth-child(odd) td -->
<style>.table-body tr:nth-child(even) td { background-color: #ffffff; }
</style><!-- .table-body tr:nth-child(even) td -->
<table border='1'>
<thead type='summary'>
<tr type='summary'>
<!-- table header row -->
```
<!-- table header row -->
<!-- table header row -->
<!-- table header row -->
<!-- table header row -->
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<!-- table header row -->
<!-- table header row -->
<!-- table header row -->
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<!-- table header row -->
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```
Table 4: CNA and population by sex and establishment 31 March 2010
<table>
<thead>
<tr>
<th rowspan="2">Establishment</th>
<th>In use CNA<sup>a</sup></th>
<th>Total Population</th>
<th colspan="2">Of which:</th>
<th rowspan="2">Nationality not recorded</th>
</tr>
<tr>
<th></th>
<th></th>
<th>Foreign nationals</th>
<th>UK nationals</th>
</tr>
</thead>
<tbody>
<tr>
<td>Liverpool</td>
<td>1,176<br>1,344</td>
<td>123<br>1,119</td>
<td>758<br>102</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Littlehey</td>
<td>823<br>876</td>
<td>111<br>758</td>
<td>370<br>7</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Lewes</td>
<td>496<br>479</td>
<td>63<br>46</td>
<td>473<br>0</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Leyhill</td>
<td>532<br>499</td>
<td>26<br>0</td>
<td>473<br>0</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Moorland</td>
<td>727<br>764</td>
<td>34<br>6</td>
<td>724<br>6</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Manchester</td>
<td>949<br>1,262</td>
<td>178<br>895</td>
<td>995<br>89</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Maidstone</td>
<td>558<br>550</td>
<td>242<br>2</td>
<td>351<br>2</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Mount</td>
<td>747<br>759</td>
<td>186<br>571</td>
<td>571<br>2</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Edmunds Hill</td>
<td>379<br>380</td>
<td>75<br>296</td>
<td>296<br>9</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Norwich</td>
<td>429<br>613</td>
<td>73<br>469</td>
<td>469<br>74</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Northallerton</td>
<td>147<br>234</td>
<td>24<br>232</td>
<td>232<br>0</td>
<td></td>
<td></td>
</tr>
<tr>
<td>North Sea Camp</td>
<td>318<br>303</td>
<td>5<br>294</td>
<td>294<br>4</td>
<td></td><td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\nNorwich\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\ndenlyy\dddenlyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyydenltyyyy
**Table 4: CNA and population by sex and establishment**
31 March 2010
<table>
<thead>
<tr>
<th rowspan="2">Establishment</th>
<th>In use CNA<sup>1</sup></th>
<th>Total Population</th>
<th colspan="3">Of which:</th>
</tr>
<tr>
<th></th>
<th></th>
<th>Foreign nationals</th>
<th>UK nationals</th>
<th>Nationality not recorded</th>
</tr>
</thead>
<tbody>
<tr>
<td>Females</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Askham Grange</td>
<td>126</td>
<td>112</td>
<td>0</td>
<td>110</td>
<td>2</td>
</tr>
<tr>
<td>Bronzefield</td>
<td>537</td>
<td>484</td>
<td>142</td>
<td>350</td>
<td>12</td>
</tr>
<tr>
<td>Drakel Hall</td>
<td>315</td>
<td>285</td>
<td>39</td>
<td>243</td>
<td>3</td>
</tr>
<tr>
<td>Downview</td>
<td>358</td>
<td>338</td>
<td>80</td>
<td>253</td>
<td>5</td>
</tr>
<tr>
<td>East Sutton Park</td>
<td>98</td>
<td>81</td>
<td>6</td>
<td>75</td>
<td>0</td>
</tr>
<tr>
<td>Eastwood Park</td>
<td>326</td>
<td>326</td>
<td>266</td>
<td>260</td>
<td>15</td>
</tr>
<tr>
<td>Foston Hall</td>
<td>283</td>
<td>236</td>
<td>20</td>
<td>211</td>
<td>5</td>
</tr>
<tr>
<td>Holloway Law Newton</td>
<td>496</td>
<td>457</td>
<td>135</td>
<td>306</td>
<td>16</td>
</tr>
<tr>
<td>Merton Hall Law Newton Peterborough Send Styal TOTAL Male and female establishment TOTAL Police cells Establishment and Police cell TOTAL
** 4,663 76,536 85,184 11,367 71,012 2,805 76,536 85,184 11,367 71,012 2,805
<sup>1 In Use CNA - Certified Nominal Accommodation that is available for immediate use, excludes damaged cells, cells affected by building works and cells taken out of use due to staff shortages.</sup><br/>
<sup>* HMP Hawell was created by an amalgamation of the three former prisons, Blakenhurst, Brookhill and Hawell.</sup><br/>
<sup> ** HMP Isle of Wight was created by an amalgamation of the three former prisons, Albany, Camp Hill and Parkhurst on 1st April 2010.</sup><br/>
<sup> *** On the 1st April 2010 up to 400 police cells available under operation safeguard which are not included in the CNA figure.</sup><br/>
Data Sources and Quality<br/>
These figures have been drawn from administrative IT systems which, as with any large scale recording system, are subject to possible errors with data entry and processing. See Data Sources and Quality section of report for more information.
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="2">Establishment Type & Description (CNA)</th><th rowspan="2">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th rowspan="rowspan_establishment_type_description" colspan_establishment_type_description="">Establishment Type & Description (CNA)</th><th colspan_establishment_type_description="">In Use CNA<sup>a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,PQ
<img>A table showing CNA and population by sex and establishment for various establishments.</img>
<table style="" cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan="" align="" justify="" valign=""></td></tr></tbody></table>
<table cellspacing="" cellpadding="" border=""><tbody><tr><td colspan=""
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Data Sources and Quality
These figures have been drawn from administrative IT systems which, as with any large scale recording system, are subject to possible errors with data entry and processing. See Data Sources and Quality section of report for more information.
Data Sources
The data used in this report has been sourced from a number of different sources including:
- HM Government - Home Office - Prison Statistics - http://www.homeoffice.gov.uk/releases/prison-statistics/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prisons.gov.uk/
- HM Government - Home Office - HM Inspectorate of Prisons - http://www.hmi-prison Table 5: Population in prison by nationality and sex
21st March 2016
<table>
<thead>
<tr>
<th>Nationality</th>
<th>Male</th>
<th>Female</th>
<th>Total</th>
<th>Nationality</th>
<th>Male</th>
<th>Female</th>
<th>Total</th>
</tr>
</thead>
<tbody>
<tr>
<td>Afghanistan</td>
<td>89,994</td>
<td>3,294</td>
<td>93,284</td>
<td>Afghanistan</td>
<td>3,746</td>
<td>252</td>
<td>3,998</td>
</tr>
<tr>
<td>British nationals</td>
<td>67,855</td>
<td>3,327</td>
<td>71,182</td>
<td>British nationals</td>
<td>183</td>
<td>4</td>
<td>187</td>
</tr>
<tr>
<td>Foreign nationals</td>
<td>10,956</td>
<td>811</td>
<td>11,767</td>
<td>Foreign nationals</td>
<td>1,536</td>
<td>100</td>
<td>1,636</td>
</tr>
<tr>
<td>Nationalities recorded</td>
<td>2,483</td>
<td>145</td>
<td>2,628</td>
<td>Nationalities recorded</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Total Africa*</td>
<td>2,576</td>
<td>222</td>
<td>2,798</td>
<td>Total Europe*</td>
<td>3,746</td>
<td>252</td>
<td>3,998</td>
</tr>
<tr>
<td>Eritrea</td>
<td></td>
<td></td>
<td></td>
<td>Eritrea</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Africa (excluding)</td>
<td></td>
<td></td>
<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br> ></table>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Africa (excluding)</strong></th>
<th style="width: 50%;"><strong>Total Africa*</strong></th>
<th style="width: 50%;"><strong>Total Europe*</strong></th>
<th style="width: 50%;"><strong>Total Other***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<th style="width: 50%;"><strong>Total***<sup>*</sup></strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="width: 50%;"><strong>Afghanistan**<sup>* </sup>(Total)</strong></th>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th style="" width="">Afghanistan**<sub><small><em><small>Afghanistan</small></em></small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afghanistan</small></sub><small>Afgha...>
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ENGLISH
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4408-pdf
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<img>ORR OFFICE OF RAIL REGULATION logo</img>
**ORR's Equality Objectives**
- **To embed the Equality Act within the regulatory work of ORR**
- Review ORR's practice and compliance in policy formation and decision making, address any areas of shortfall and promote examples of good practice.
- Work with duty-holders and RSSB to ensure that incident and risk-monitoring tools reflect where safety incidents (including assaults) include individuals with protected characteristics.
- Work with stakeholders to establish a consistent reporting procedure for passenger and workforce complaints relating to discrimination and harassment, showing protected characteristics and prohibited conduct.
- Monitor and enforce compliance with DPPPs through station and passenger train licences.
- **ORR to embed the Equality Act 2010, as an employer and as a place to work.**
- ORR will tackle discrimination and harassment, supporting a culture where differences are embraced, and leading to a reduction in staff reporting personal experience of discrimination and harassment.
- Improve staff declaration-rates for protected characteristics, increasing workforce data to help identify and address any barriers to equality.
- Monitor ORR's performance management system to ensure that it promotes equality of opportunity.
\<page_number>444642\</page_number>
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ENGLISH
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0295-pdf
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<img>ORR OFFICE OF RAIL AND ROAD logo</img>
John Larkinson Director, Railway Markets & Economics
Mark Carne Chief Executive Network Rail
27 July 2018
Dear Mark
**Breach of timetabling conditions in Network Rail's network licence**
1. I am writing to advise Network Rail of the decisions the ORR Board made this week following our investigation into your management of changes to the national rail timetable leading up to the May 2018 timetable change. We set out the scope of our investigation and initial findings in our letters of 25 May and 29 June 2018. Thank you for Network Rail's responses of 8 June and 6 July, which we have considered alongside other information from Network Rail, passenger and freight train operators, funders and passenger representatives.
2. The decisions and actions in this letter are summarised in the Annex.
3. ORR has concluded that Network Rail is breaching conditions 1.23 and 2.7 of its network licence in that it is failing to deliver to the greatest extent reasonably practicable, having regard to all the circumstances, its obligations to:
- run an efficient and effective process, reflecting best practice, for establishing a timetable, and any changes to it, so as to enable persons providing railway services and other relevant persons, to plan their businesses with a reasonable degree of assurance and to meet their obligations to railway users; and
- establish and maintain efficient and effective processes reflecting best practice and apply those processes so as to provide appropriate, accurate and timely information to train operators.
4. These are failings with significant consequences and when it became clear in January 2018 that the electrification of the Bolton Corridor would not be ready on
\<page_number>1\</page_number> time. Network Rail had to re-write the May 2018 timetable 7 weeks after it was published in November 2017. This should not have been necessary.
5. This resulted in the serious breakdown in normal ‘informed traveller’ timescales under which Network Rail confirms short-term changes to the timetable to operators 12 weeks or more in advance (known as T-12). It also contributed to the major disruption faced by many passengers using GTR, Northern and other services since the May timetable was rewritten and implemented. The failed implementation of the new timetable in May 2018 is the subject of a separate inquiry we are carrying out at the request of the Secretary of State.
6. We will make a final order to remedy this licence breach. The order will include delivery of System Operator capability improvements and review of the timetabling process, as set out below. Given the complex circumstances of the breach we want to take account of the work that Network Rail and the wider industry are doing now and the findings of our separate inquiry. This means that we will consult Network Rail and the wider industry on the drafting of the final order to come into effect in the Autumn.
7. There are steps we require Network Rail to take now to increase its accountability and to provide us with greater assurance that it is managing the industry timetabling process as well as it can in the circumstances and building its timetabling resources and capability faster.
**Immediate Actions**
8. An immediate priority is the successful delivery of the December 2018 timetable. The decision has been taken to de-risk implementation of the December timetable and the following May 2019 timetable; we support this given recent experience. Our understanding of the proposed approach is that it should lead to a reduction in the quantum of change compared to that originally planned while still preserving the realisation of many passenger benefits (for example those brought about by the completion of enhancement projects). However this approach will not remove all risk to those timetables, and we want greater assurance. **We therefore require you to provide us by 31 August 2018 an initial report demonstrating how you are running an efficient, effective, fair and transparent process for the December 2018 and May 2019 timetables.** This should highlight the risks to the process, including those around how the industry is working together. We will then seek train operator views on this periodically and we will publish our findings.
9. We understand the decision to de-risk the December 2018 timetable will mean it takes longer to recover normal T-12 timescales for notifying short-term changes to the timetable. To improve transparency and Network Rail’s accountability **we require you to update your T-12 recovery plan by 31 August 2018,** to
\<page_number>2\</page_number> publish your plan and to report publicly against it thereafter. This should include the number of late notice changes being considered and the reasons for those changes. We will continue to monitor progress against the recovery plan and your management of the risks to it through the arrangements we have already set up. We expect Network Rail to fully resource the plan, to continue to deliver it and to engage with the industry so that it plays its full part in the recovery, for example through the National Task Force and its subgroups.
10. During our investigation we found evidence that Network Rail’s timetabling resources and capability were put under pressure by the increased scale of both short and long term planning changes. These issues continue; resourcing and capability of both Network Rail and industry planning teams is a risk to the delivery of future timetables.
11. Network Rail has started to recruit additional train planning resources and the System Operator’s strategic business plan for the next 5-year control period starting in April 2019 proposed significant additional resources. This included funding for extra planning staff to support offering a more accurate and resilient timetable to the industry in a more effective and timely way, and around £60m of capital expenditure on enhanced systems that will enable improvements such as the automation of timetable processes.
12. In our draft determination we confirmed we support your plans to strengthen resources and capability in these and related areas. For example, enhancing the capability of your analytical teams to better support industry enhancement and franchise decisions. This support is subject to clarity around improved governance to secure value for money.
13. However, these plans are at an early stage of development. In light of the current timetabling problems, **we require you to accelerate your plans to strengthen your timetabling resources and capability, and to produce leading indicators to allow us to assess whether you are on course to deliver. We require you to provide us with a first draft of your proposals by 17 September 2018.** Once agreed with us, your plan must be published and we expect you to publically report on your progress against it.
14. Our investigation has also concluded that there are issues with the planning, management and delivery of Network Rail’s Infrastructure Projects function and its interface with the System Operator timetabling function, and the routes. It is clear that decisions are not being taken with a whole system perspective in mind. These interfaces have been the subject of debate for some time. While we recognise that the new Chief Executive, Andrew Haines, will want to review this area, in light of the issues identified during our investigation, **we require Network Rail to speed up decisions about structural reform, providing us**
\<page_number>3\</page_number> with a draft plan setting out how you will achieve this by 30 September 2018.
**Content of the final order**
15. Looking longer term, there are other actions Network Rail must take and which will be specified in the final order. Network Rail has acknowledged the timetabling process set out in Part D of the industry’s Network Code is not working as envisaged and has proposed the industry should review these arrangements, particularly to strengthen the System Operator’s ability to manage risk and industry change. We agree a review of Part D would be sensible and it is essential that this is done with industry cooperation.
16. But we understand Network Rail considers it is time to undertake a more fundamental review of the existing timetabling architecture to ensure it continues to be fit for purpose. In effect this review would start with a ‘clean sheet of paper’. We support a review but need to hear your proposals for the scope of this work, how it would be resourced and timings.
17. So as not to divert resources from the more urgent short term problems, we will agree dates for these reviews with you for inclusion in the final order.
18. The final order will also include details of how you will be delivering the System Operator capability improvement. This is expected to reflect the proposals that you will be submitting to us by 17 September.
19. In line with our enforcement policy, the ORR board considered whether a financial penalty was appropriate in relation to this licence breach. In the circumstances of this particular case, ORR has decided a penalty is not appropriate as it would not further incentivise compliance. We note that the executive directors have already voluntarily declined any performance related pay for 2018 due to the timetabling issues experienced in May.
20. I am copying this letter to Andrew Haines, Jo Kaye, Francis Paonessa and Paul McMahon at Network Rail, Polly Payne and Ruth Hannant at the Department for Transport, Bill Reeve at Transport Scotland and Simon Tew at Welsh Government.Yours sincerely
<signature>John Larkin</signature>
John Larkinson Director, Railway Markets & Economics
\<page_number>4\</page_number> Annex: Summary of ORR decision and actions on Network Rail breach of timetabling conditions in Network Licence
**Network Rail Licence Breach**
ORR has concluded Network Rail is breaching conditions 1.23 and 2.7 of its network licence.
ORR has required Network Rail to undertake 4 immediate actions and will set out further actions required in a final order.
| Immediate actions | | | |---|---|---| | Action | Completed by | | | 1 | Network Rail to provide ORR with an initial report demonstrating how it is running an efficient, effective, fair and transparent process for the December 2018 and May 2019 timetables. | 31 August 2018 | | 2 | Network Rail to update its T-12 recovery plan, to publish the plan and to report publicly against it thereafter. This should include the number of late notice changes being considered and the reasons for those changes. | 31 August 2018 | | 3 | Network Rail to accelerate plans to strengthen its timetabling resources and capability, and to produce leading indicators to allow ORR to assess whether it is on course to deliver. | First draft of proposals to ORR by 17 September 2018 | | 4 | Network Rail to speed up decisions about structural reform, providing ORR with a draft plan setting out how this will be achieved. | Draft plan to ORR by 30 September 2018 |
**Content of final order**
| Content of final order | | | |---|---|---| | 1 | Review of Part D of the Industry Network Code, with industry co-operation. | Date to be set in final order | | 2 | Fundamental review of existing timetable architecture to ensure it continues to be fit for purpose. | Date to be set in final order | | 3 | Specify System Operator capability improvements. | Date to be set in final order |
\<page_number>5\</page_number>
|
ENGLISH
|
3953-pdf
|
<img>Blaby District Council the heart of Leicestershire</img>
**SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)**
**FOR THE MONTH OF OCTOBER, 2016**
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>INRECOVERABLE VAT</th>
<th>PROG/CLASS</th>
</tr>
</thead>
<tbody>
<tr>
<td>1ST CHOICE PROPERTY MAINTENANCE LTD<br>1ST CHOICE PROPERTY MAINTENANCE LTD<br>3RE PLANNING LTD<br>ADN CONSTRUCTION LTD<br>ADN CONSTRUCTION LTD<br>ADVANTAGE BUSINESS SOLUTIONS LTD<br>ALLPAYLIMITED DIRECT DEBIT ACCOUNT<br>ANCHORPRINT GROUP LIMITED<br>ANCHORPRINT GROUP LIMITED<br>ANCHORPRINT GROUP LIMITED<br>ARTYLOON<br>ASSOCIATION OF BUILDING ENGINEERS LTD<br>BARTON PETROLUM LIMITED<br>BETTY'S BUTCHER SHOP<br>BE FUELCARDS<br>BEBELAY SUPPLIES<br>BOTTOMLINE TECHNOLOGIES LTD<br>BOTTOMLINE TECHNOLOGIES LTD<br>BURTON'S LIFT & TRUCK SERVICES LTD<br>BROWNE JACOBSON LLP<br>CAPITA BUSINESS SERVICES LIMITED<br>CCS MEDICAL LTD<br>CCS MEDIA LTD<br>CSS MEDICAL LTD<br>CSS MEDICAL LTD<br>CHEMPCAP SOLUTION LIMITED<br>CIEH<br>COPPA<br>CIRRUS RESEARCH PLC<br>CLOCKWISE<br>COLLEGE GARTH KENNELS LTD<br>COMPUTER CONTROLLED SOLUTIONS LTD<br>COUNTERTHORPE PARISH COUNCIL CROFT PARISH COUNCIL CYCLONE WORKS D A PEPPER & SON DAISY COMMUNICATIONS LIMITED</td>
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<td>The Pavilion - Land And Build Council Offices & Land Planning Division General Fund Balance Sheet Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other</td>
<td>Finance, Efficiency & Assets Finance, Efficiency & Assets Planning, Econ. Dev. & Housing Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets</td>
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<td></td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Rea Building Planning Division General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet Bank Charges Whistlestop Depot Performance Management Publicity Promotion Market Publicity Promotion Market Partnerships Corp. Services Partnerships Corp. Services General Fund Balance Sheet Building Control Division General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet Vehicle Maintenance Financial Services General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet General Fund Balance Sheet</td>
<td>20/10/2016 06/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 19/10/2016 25/10/2016 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44 38378.44</td>
<td>Rea Building Fees And Charges Fees And Charges Nedd - Dtg Agency Account Nedd - Dtg Agency Account Nedd - Dtg Agency Account Nedd - Dtg Agency Account Transaction Costs - All Pay Outside Printing Outside Printing Publicity Promotion Market Publicity Promotion Market Performance Management Performance Management Performance Management Performance Management Normal Repairs Software Maintenance In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions</td>
<td>Rea Building Fees And Charges Fees And Charges Nedd - Dtg Agency Account Nedd - Dtg Agency Account Nedd - Dtg Agency Account Nedd - Dtg Agency Account Transaction Costs - All Pay Outside Printing Outside Printing Publicity Promotion Market Publicity Promotion Market Performance Management Performance Management Performance Management Performance Management Normal Repairs Software Maintenance In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions</td>
<td>Deductions - Closeout Small Mscs Contracts Temporary/Casual Staff Equipment R&M Equipment R&M Equipment R&M Equipment R&M Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout Deductions - Closeout</td>
<td>Rea Building Fees And Charges Fees And Charges Nedd - Dtg Agency Account Nedd - Dtg Agency Account Nedd - Dtg Agency Account Nedd - Dtg Agency Account Transaction Costs - All Pay Outside Printing Outside Printing Publicity Promotion Market Publicity Promotion Market Performance Management Performance Management Performance Management Performance Management Normal Repairs Software Maintenance In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions In Year Capital Additions</td>
<td>Deductions - Closeout Small Mscs Contracts Temporary/Casual Staff Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment R&M Equipment</td>
<td>Deductions - Closeout Small Mscs Contracts Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff Temporary/Casual Staff</td>
<td>Deductions - Closeout Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts Small Mscs Contracts</td>
<td>Deductions - Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloes Out Cloe
<img>Blaby District Council logo</img>
the heart of Leicestershire
**SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)**
**FOR THE MONTH OF OCTOBER, 2016**
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>INRECOVERABLE VAT</th>
<th>PROCLAIMED AMOUNT</th>
</tr>
</thead>
<tbody>
<tr>
<td>DAViD KIRTON DESIGNS</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Nedd: Dfg Agency Account<br>In Year Capital Additions</td>
<td>13/10/2016</td>
<td>244.10</td>
<td>0.00</td>
<td>20171.1</td>
</tr>
<tr>
<td>DAViD KIRTON DESIGNS</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>In Year Capital Additions</td>
<td>13/10/2016</td>
<td>231.50</td>
<td>0.00</td>
<td>20171.1</td>
</tr>
<tr>
<td>DAViD KIRTON DESIGNS</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Nedd: Dfg Agency Account<br>In Year Capital Additions</td>
<td>13/10/2016</td>
<td>215.00</td>
<td>0.00</td>
<td>20171.1</td>
</tr>
<tr>
<td>DAViD KIRTON DESIGNS</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Nedd: Dfg Agency Account<br>In Year Capital Additions</td>
<td>27/10/2016</td>
<td>221.90</td>
<td>0.00</td>
<td>20171.1</td>
</tr>
<tr>
<td>DENNIS EAGLE LTD.</td>
<td>Hood & Env. Health Services<br>Vehicle Maintenance<br>Need: Dfg Agency Account<br>In Year Capital Additions</td>
<td>Vehicle Maintenance<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br>Need: Dfg Agency Account<br>In Year Capital Additions<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Cyc: Fire Detection & Alarms</br>
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</page_number><page_number>Page 2 of 6</page_number></table>
DETECTOR ALARMS LIMITED DETECTOR ALARMS LIMITED DETECTOR ALARMS LIMITED DINERS CLUB INTERNATIONAL DISCLOSE & BARRING SERVICE DTM GARDENS & LANDSCAPES LIMITED DTM GARDENS & LANDSCAPES LIMITED DTM GARDENS & LANDSCAPES LIMITED DTM GARDENS & LANDSCAPES LIMITED E L (MIDLANDS) LIMITED E L (MIDLANDS) LIMITED EDISIONS - STANDING ORDER ACCOUNT ELLSWORTHY LTD ELECHIEK EST LIMITED ELMESTHORPE PARISH COUNCIL ESPQ ESPQ FAROL LIMITED FAROL LIMITED FIRMSTEP LTD FORD A SLATER FORD A SLATER FORD COMMUNICATIONS & CONSTRUCTION GLADSTONE MRM GLENFIELD PARISH COUNCIL GRAFFITI GROUP LTD GULLIVERS TRUCK HIRE LIMITED GULLIVERS TRUCK HIRE LIMITED GULLIVERS TRUCK HIRE LIMITED HAYS SPECIALIST RECRUITMENT HAYS SPECIALIST RECRUITMENT HEALTH MANAGEMENT LIMITED HERITAGE HOTEL
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
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<th></th><page_number>Page Number (e.g., Page of Page)</page_number></tr><tr><th>SUPPLIER NAME</th><th>PORTFOLIO</th><th>COST CENTRE</th><th>EXPENDITURE CLASS</th><th>POST. DATE</th><th>AMOUNT</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Nedd: Dtg Agency Accoun In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Year Capita lAdditio ns In Yea rCapita lAdditio nns Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd: Dtg Agenc yAccoun Nedd:
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr>
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services Vehicle Maintenance Hoods & Env. Health Services Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets Vehicle Maintenance Finance Efficiency Assets VehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Services VehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
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<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health ServicesVehicleMaintenance Planning Delivery Causal Measure & Travel Exp.</table>
<table>
<tr
<td>DavId Kirton Designs Other General Fund Balance Sheet Hoods &
Env.
Health Servi ces
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
Vehicle Maintenanc e
Finance Effici ency Asse ts
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
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In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capital additions
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In year capital additions
In year capital additions
In year capital additions
In year capital additions
In year capta i aladditi ons.
Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gency Accou nt. Ned d: Dg A gery Ac co unt, \<page_number>Page Number (e.g., Page of Page)\</page_number>>
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\<td:DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Servi ces Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts
Cyc.: Fire Detection Lighting Testings Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliances Tests Cyc.: Portable Appliance Test s.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lighting Testings.
Cyc:: Fire Detection Lightning Tes t s,
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\<td:DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Servi ces Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts
Hood & Env. Health Servi ces\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal\
Vehicles External\
Vehicles Internal
Hood & Env. Health Servi ces\
Vehicles External\
Vehicles Internal
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
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Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
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Hood & Env. Health Servi ces\
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Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
Vehicles External
Hood & Env. Health Servi ces\
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Hood & Env. Health Servi ces\
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Hood & Env. Health Servi ces\
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Hood & Env. Health Servi ces\
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\<td:DavId Kirton Designs Other General Fund Balance Sheet Hoods & Env. Health Servi ces Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici ency Asse ts Vehicle Maintainan c e Finance Effici Encys Asses t s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s <img>Blaby District Council the heart of Leicestershire</img>
**SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)**
**FOR THE MONTH OF OCTOBER, 2016**
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>INRECOVERABLE VAT</th>
<th>PROCLASIF</th>
</tr>
</thead>
<tbody>
<tr>
<td>HERITAGE HOTEL</td>
<td>Community Services</td>
<td>Homellessness</td>
<td>Hire Of Rooms</td>
<td>06/10/2016</td>
<td>252.00</td>
<td>0.00</td>
<td>321060</td>
</tr>
<tr>
<td>HERITAGE HOTEL</td>
<td>Community Services</td>
<td>Homelessness</td>
<td>Hire Of Rooms</td>
<td>19/10/2016</td>
<td>455.00</td>
<td>0.00</td>
<td>321060</td>
</tr>
<tr>
<td>HINDLEY & BOSWORTH COUNCIL</td>
<td>Finance, Efficiency & Assets</td>
<td>Subscriptions</td>
<td>Subscriptions</td>
<td>31/10/2016</td>
<td>855.00</td>
<td>0.00</td>
<td>202100</td>
</tr>
<tr>
<td>HYDRO-X WATER TREATMENT LIMITED</td>
<td>Finance, Efficiency & Assets</td>
<td>The Pavilion - Land And Build - Luton</td>
<td>Gyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legionella Testing<br>Lyc: Legio...</td>
<td>19/10/2016</td>
<td>1,076.00</td>
<td>0.00</td>
<td>191770</td>
</tr>
<tr>
<td>HYDRO-X WATER TREATMENT LIMITED</td>
<td>Finance, Efficiency & Assets</td>
<td>The Pavilion - Land And Build - Luton - Luton Water Treatment Plant - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Control Surveyes - Stock Cont...</td>
<td>Credentials - Dep-Citizen Of Yr</td>
<td>24/10/2016</td>
<td>388.90</td>
<td>0.00</td>
<td>191770</td>
</tr>
<tr>
<td>iAN PICKERING PHOTOGRAPHY LTD.</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></table><br/>
<table><tbody><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</th></tr><tr><th colspan="8">iAN PICKERING PHOTOGRAPHY LTD.</than td=""></table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-top-width:.5px;border-top-color:#ccc;">
<td>JACKSONS WASTE MANAGEMENT LIMITED (STAFFORD)</table>
<tr style="border-bottom-style:solid;border-bottom-width:.2em;padding-bottom:.2em;">Page<page_number>3 of 6<page_number></page_number>
<img>Blaby District Council the heart of Leicestershire</img>
**SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)**
**FOR THE MONTH OF OCTOBER, 2016**
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>RECOVERABLE VAT</th>
<th>PROCLASIF</th>
</tr>
</thead>
<tbody>
<tr>
<td>KNIGHTON JANTORIAL LTD</td>
<td>Finance, Efficiency & Assets</td>
<td>Littledenhoze Depot</td>
<td>Fia: Cleaning Materials<br>Hire Of Rooms</td>
<td>24/10/2016</td>
<td>295.20</td>
<td>0.00</td>
<td>131000</td>
</tr>
<tr>
<td>LCC COUNCILS COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL COUNCIL LEICESTERSHIRE COUNTY COUNcil LEICESTERSHIRE COUNTY CITY MARRIOTT HOTEL LEICESTERSHIRE MERCURY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LEICESTERSHIRE COUNTY CITY LOCAL WORLD LIMITED LOCAL WORLD LIMITED LOCAL WORLD LIMITED LOCAL WORLD LIMITED MALCOLM LANE & SONS LIMITED MALCOLM LANE & SONS LIMITED MALLARD CONSULTANCY LTD MARS DRINKS UK LTD MELLON LTD MISS RACHEL CLARKE MORGAN HUNT UK LIMITED MORGAN HUNT UK LIMITED MORGAN HUNT UK LIMITED MORGAN HUNT UK LIMITED MUNICIPAL MUTUAL INSURANCE LIMITED NARBOROUGH CONGREGATIONAL CHURCH NEWLINE MIDLANDS LIMITED NORTH WEST LEICESTERSHIRE DISTRICT COUNcil NORTH GATE PUBLIC SERVICES NORTH GATE PUBLIC SERVICES ORBIT GROUP PACE FUELCARE PAKATIK LTD NHDood & Env. Health Services Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Finance, Efficiency & Assets Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other OtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOtherOther
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>RECOVERABLE VAT</th>
<th>PROCLASIF</th>
<th>AMOUNT VAT</th>
<th>VAT%</th>
<th>VAT AMOUNT</th>
<th>VAT PERIOD</th>
<th>VAT PERIOD AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>RECOVERABLE VAT</th>
<th>PROCLASIF</th>
<th>AMOUNT VAT</th>
<th>VAT%</th>
<th>VAT AMOUNT</th>
<th>VAT PERIOD</th>
<th>VAT PERIOD AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th>
<th>VAT PERIOD VAT%</th>
<th>VAT PERIOD VAT AMOUNT</th></table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<td>SUPPLIER NAME</td>
<td>PORTFOLIO</td>
<td>COST CENTRE</td>
<td>EXPENDITURE CLASS</td>
<td>POST. DATE</td>
<td>AMOUNT</td>
<td>RECOVERABLE VAT</td>
<td>PROCLASIF</td>
<td>AMOUNT VAT</td>
<td>VAT%</td>
<td>VAT AMOUNT</td></tr></thead>
<tbody style="background-color: #ffffff;">
<tr style="background-color: #ffffff;">
<td>KNIGHTON JANTORIAL LTD.</td>
<td>Finance, Efficiency & Assets.</td>
<td>Littledenhoze Depot.</td>
<td>Fia: Cleaning Materials<br>Hire Of Rooms.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCC COUNTSHEPOTRPH COMMUNITY COLLEGE.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
<tr style="background-color: #ffffff;">
<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
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<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
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<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
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<td>LCEISTERSHIRE ARDENT LTD.</td></tr>
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<td>LCEISTERSHILEARDENTLTD.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.LT.D.<page_number>Page 4 of 6<page_number>>
<img>Blaby District Council the heart of Leicestershire</img>
**SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)**
**FOR THE MONTH OF OCTOBER, 2016**
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>INRECOVERABLE VAT</th>
<th>PROG/CLASS</th>
</tr>
</thead>
<tbody>
<tr>
<td>PALMER & HARVEY MCLANE LIMITED</td>
<td>Health Improvement & Leisure</td>
<td>The Pavilion</td>
<td>Goods For Resale</td>
<td>19/10/2016</td>
<td>312.74</td>
<td>0.00</td>
<td>111400</td>
</tr>
<tr>
<td>PALMER & HARVEY MCLANE LIMITED</td>
<td>Health Improvement & Leisure</td>
<td>The Pavilion</td>
<td>Goods For Resale</td>
<td>25/10/2016</td>
<td>345.73</td>
<td>0.00</td>
<td>111400</td>
</tr>
<tr>
<td>PETER LINSELL MANAGEMENT CONSULTANTS POLYCOPY.</td>
<td>Planning, Econ. Dev. & Housing</td>
<td>Lubbershorne New Town</td>
<td>Consultant's Fees</td>
<td>05/10/2016</td>
<td>6,850.00</td>
<td>0.00</td>
<td>152200</td>
</tr>
<tr>
<td>POLYCOPY.</td>
<td>Partnerships & Corp. Services</td>
<td>Ragreographics</td>
<td>Publish & Promotion</td>
<td>28/10/2016</td>
<td>491.40</td>
<td>0.00</td>
<td>341000</td>
</tr>
<tr>
<td>PREMIER WASTE & RECYCLING PREMIER WASTE & RECYCLING PREMIER WASTE & RECYCLING PREMIER PROPERTY SERVICES LTD PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT UK PRINT QUADRANT EVENTS LTD REDSTONE TYRES LTD REGENT OFFICE CARE LIMITED REGENT OFFICE CARE LIMITED REGENT OFFICE CARE LIMITED REGENT OFFICE CARE LIMITED REGENT OFFICE CARE LIMITED REGENT OFFICE CARE LIMITED REGENT OFFICE CARE LIMITED RGVA RICOH UK LIMITED RICOH UK LIMITED RICOH UK LIMITED RICOH UK LIMITED RICOH UK LIMITED RICOH UK LIMITED RICOH UK LIMITED RICOH UK LIMITED RICOH GROUP MULTI-SPORTS LTD ROYAL MAIL GROUP LIMITED ROYAL MAIL GROUP LIMITED ROYAL MAIL GROUP LIMITED SCOTT HUGHES DESIGN SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKY BUSINESS SKYEDEX MOTIVATION - DIRECT DEBIT ONLY SODEXO MOTIVATION - DIRECT DEBIT ONLY SOLOPROTECT LIMITED SOUTHERN ELECTRIC STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORDSHIRE STAFFORD SHIRTS THE ELECTION CENTRE THE PRUDENTIAL ASSURANCE COMPANY LIMITED THE SECONDHAND WAREHOUSE LTD TOTAL HYGIENE LIMITED Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other Other OtherOther Health Improvement & Leisure Planning, Econ. Dev. & Housing Partnerships & Corp. Services Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Health Improvement & Leisure Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge Project Hospital Discharge ProjectHospital Management Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services Community Services
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME</th><th>PORTFOLIO</th><th>COST CENTRE</th><th>EXPENDITURE CLASS</th><th>POST. DATE</th><th>AMOUNT</th><th>InRecoverable VAT</th><th>PROG/CLASS</th></tr></thead><tbody><tr><td>PALMER & HARVEY MCLANE LIMITED HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISUELISEELEISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELISELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELESELE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME</th><th>PORTFOLIO</th><th>COST CENTRE</th><th>EXPENDITURE CLASS</th><th>POST. DATE</th><th>AMOUNT</th><th>InRecoverable VAT</th><th>PROG/CLASS</th></tr></thead><tbody><tr><td>PALMER & HARVEY MCLANE LIMITED HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISURE HEALTH IMPROVEMENT AND LEISUE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE LIE
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITURE CLASS POST. DATE AMOUNT InRecoverable VAT PROG/CLASS
<table style="border-collapse: collapse;">
<thead><tr><th>SUPPLIER NAME PORTFOLIO COST CENTRE EXPENDITU RE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE ECE
<th colspan='8' align='right'><strong>Total Amount:</strong></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table></thead></tbody></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/></tbody/></table/></thead/><tbody/><tfoot/>
<img>Blaby District Council logo</img>
the heart of Leicestershire
SUPPLIER PAYMENTS WHERE CHARGE TO SPECIFIC COST CENTRES IS OVER +/- £250 (inc. VAT)
FOR THE MONTH OF OCTOBER, 2016
<table>
<thead>
<tr>
<th>SUPPLIER NAME</th>
<th>PORTFOLIO</th>
<th>COST CENTRE</th>
<th>EXPENDITURE CLASS</th>
<th>POST. DATE</th>
<th>AMOUNT</th>
<th>IRRECOVERABLE VAT</th>
<th>PROGRESSIVE VAT</th>
</tr>
</thead>
<tbody>
<tr>
<td>UNISON</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Deductions - Unison</td>
<td>05/10/2016</td>
<td>339.70</td>
<td>0.00</td>
<td>209999</td>
</tr>
<tr>
<td>UNISON</td>
<td>Other</td>
<td>General Fund Balance Sheet</td>
<td>Deductions - Unison</td>
<td>31/10/2016</td>
<td>342.95</td>
<td>0.00</td>
<td>209999</td>
</tr>
<tr>
<td>VENN GROUP LTD</td>
<td>Community Services</td>
<td>C.Tax Billing, Coll & Recovery</td>
<td>Temporary/Casual Staff</td>
<td>24/10/2016</td>
<td>772.08</td>
<td>0.00</td>
<td>261411</td>
</tr>
<tr>
<td>VENN GROUP LTD</td>
<td>Finance, Efficiency & Assets</td>
<td>Bubble Project</td>
<td>Temporary/Casual Staff</td>
<td>19/10/2016</td>
<td>684.80</td>
<td>0.00</td>
<td>261411</td>
</tr>
<tr>
<td>VENN GROUP LTD</td>
<td>Finance, Efficiency & Assets</td>
<td>Bubble Project</td>
<td>Temporary/Casual Staff</td>
<td>19/10/2016</td>
<td>677.38</td>
<td>0.00</td>
<td>261411</td>
</tr>
<tr>
<td>VENN GROUP LTD</td>
<td>Finance, Efficiency & Assets</td>
<td>Bubble Project</td>
<td>Temporary/Casual Staff</td>
<td>19/10/2016</td>
<td>747.68</td>
<td>0.00</td>
<td>261411</td>
</tr>
<tr>
<td>VODAFONE LIMITED</td>
<td>Pensions & Corp. Services<br>Ict Services<br>Telcoms - Internal<br>Cleaning Services<br>Hired Services<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br>In Year Additions<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> WHISTL NORTH LIMITED</br> ZEBRA TRAINING SERVICES</br> ZOELLER SYSTEMS LIMITED</br> </table>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>SUPPLIER NAME</th><th>PORTFOLIO</th><th>COST CENTRE</th><th>EXPENDITURE CLASS</th><th>POST. DATE</th><th>AMOUNT (INC VAT)</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table style="width: 100%; border-collapse: collapse;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th>SUPPLIER NAME</th><th>PORTFOLIO</th><th>COST CENTRE (INC VAT)</th><th>EXPENDITURE CLASS (INC VAT)</th><strong style="font-weight: bold;">POST. DATE (INC VAT)</strong><strong style="font-weight: bold;">AMOUNT (INC VAT)</strong><strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT)</strong><strong style="font-weight: bold;">PROGRESSIVE VAT (INC VAT)</strong></tr>
<tr style="text-align: center;">
<th style="border-bottom: 3px solid black;">UNISON (INC VAT)</strong>: 339.70 (INC VAT) <strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT): 0.00 (INC VAT) <strong style="font-weight: bold;">PROGRESSIVE VAT (INC VAT): 209999 (INC VAT)</strong></tr>
<tr style="text-align: center;">
<th style="border-bottom: 3px solid black;">UNISON (INC VAT): 342.95 (INC VAT) <strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT): 0.00 (INC VAT) <strong style="font-weight: bold;">PROGRESSIVE VAT (INC VAT): 209999 (INC VAT)</strong></tr>
<tr style="text-align: center;">
<th style="border-bottom: 3px solid black;">VENN GROUP LTD COMMUNITY SERVICES (INC VAT): 772.08 (INC VAT) <strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT): 0.00 (INC VAT) <strong style="font-weight: bold;">PROGRESSIVE VAT (INC VAT): 261411 (INC VAT)</strong></tr>
<tr style="text-align: center;">
<th style="border-bottom: 3px solid black;">VENN GROUP LTD FINANCE EFFICIENCY AND ASSETS BUBBLE PROJECT (INC VAT): 684.80 (INC VAT) <strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT): 0.00 (INC VAT) <strong style="font-weight: bold;">PROGRESSIVE VAT (INC VAT): 261411 (INC VAT)</strong></tr>
<tr style="text-align: center;">
<th style="border-bottom: 3px solid black;">VENN GROUP LTD FINANCE EFFICIENCY AND ASSETS BUBBLE PROJECT (INC VAT): 677.38 (INC VAT) <strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT): 0.00 (INC VAT) <strong style="font-weight: bold;">PROGRESSIVE VAT (INC VAT): 261411 (INC VAT)</strong></tr>
<tr style="text-align: center;">
<th style="border-bottom: 3px solid black;">VENN GROUP LTD FINANCE EFFICIENCY AND ASSETS BUBBLE PROJECT (INC VAT): 747.68 (INC VAT) <strong style="font-weight: bold;">IRRECOVERABLE VAT (INC VAT): 0.00 (INC VAT) <strong style="font-weight: bold;">PROGRESSIVE VATACTIVE VAT (INC VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTIVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE VATACTAVE Vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactave vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatactive vatacitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitablevitableviablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevablevableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableableblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebleblebl bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bleb bl b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le b le bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl bl blblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblblue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blue blueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblueblue
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<img>Veritau Assurance Services for the Public Sector</img>
Direct Payments City of York Council Internal Audit Report 2017/18
Business Unit: Adult Social Care Responsible Officer: Assistant Director Adults and Social Care Service Manager: Head of Safeguarding & Mental Health Head of Adult Social Care Head of Customer, Resident & Exchequer Services
Date Issued: 6 April 2018 Status: Final Reference: 11480/007
<table>
<thead>
<tr>
<td></td>
<td>P1</td>
<td>P2</td>
<td>P3</td>
</tr>
</thead>
<tbody>
<tr>
<td>Actions</td>
<td>0</td>
<td>4</td>
<td>3</td>
</tr>
<tr>
<td>Overall Audit Opinion</td>
<td colspan="3">Reasonable Assurance</td>
</tr>
</tbody>
</table>
\<page_number>1\</page_number>
<img>YORK logo</img>
# Summary and Overall Conclusions
## Introduction
Direct Payments are local health and social care payments for people who have been assessed as needing help from social services and who would prefer to arrange and pay for their own care and support rather than to receive services directly from the local authority. The aim of Direct Payments is to allow the service user greater choice and control through the flexibility of being able to purchase their own care package. The Care Act (2014) mandated Direct Payments for the first time in certain circumstances, effective from April 2015. Sections 31 to 33 of the Act set out the duties of local authorities in respect of these payments.
Over £5 million in Direct Payments were made during 2016-17. As of 15 June 2017, the council has 264 Direct Payment customers. Of these 264 customers, 90 have self-managed accounts with 82 receiving payments via prepaid cards and eight receiving payments into a designated bank account. Following the move to a Personal Budget Model in October 2016, the remaining 174 customers have a managed account with a support provider on the council’s approved provider list.
## Objectives and Scope of the Audit
The purpose of this audit was to provide assurance to management that procedures and controls within the system ensure that:
- Self-managed, prepaid card accounts;
- Designated personal bank accounts; and
- Accounts managed by third party support providers
are monitored and reconciled appropriately and support plans are reviewed to ensure that they continue to meet the needs of the customer.
The previous audit carried out in 2015-16 received a Limited Assurance opinion. This audit followed up the actions that were agreed to ensure that the issues and control weaknesses had been satisfactorily addressed.
## Key Findings
It was found that Direct Payment accounts are not consistently monitored according to council policy. While reconciliations for managed and self-managed prepaid card accounts had been performed, they were not always timely. Reconciliations were largely accurate but some minor errors were observed with contingency items being omitted. The accounts of customers receiving their Direct Payment into a designated bank account
<img>YORK logo</img> \<page_number>2\</page_number> are not subject to appropriate levels of monitoring. Just one of the nine accounts reviewed had been reconciled in line with policy and for four accounts there was no evidence available on Mosaic that any reconciliation had been performed.
Some additional weaknesses in the carrying out of monitoring processes were also observed. Newly commissioned Direct Payments are monitored more consistently than was the case at the time of the previous audit but still only half of the accounts tested had been monitored at the intervals required by the Direct Payments policy. Furthermore, account surpluses and deficits are routinely identified but are not always acted upon.
Finally, it was found that customer support plans are not routinely reviewed on an annual basis as is required by council policy with some reviews having been delayed for between four and 13 months.
**Overall Conclusions**
The arrangements for managing risk were satisfactory with a number of weaknesses identified. An acceptable control environment is in operation but there are a number of improvements that could be made. Our overall opinion of the controls within the system at the time of the audit was that they provided Reasonable Assurance.
\<page_number>3\</page_number> <img>YORK logo</img> **1 Timeliness of reconciliations for prepaid card accounts**
| Issue/Control Weakness | Risk | |---|---| | The accounts of customers with prepaid cards are not monitored in accordance with council policy. | Customers may misuse their Direct Payment or fail to pay their assessed contribution. | | | Budget provision may be affected by the accrual of account surpluses or failure to recover funds. |
**Findings** Of the ten managed accounts tested, three had not been reconciled by October 2017 and thus were delayed at the time of audit testing. A further ten self-managed accounts were tested and none of these reconciliations had been completed within 12 months of the period up to which the previous reconciliation had been performed. While reconciliations for five accounts were not significantly delayed, for the remaining five reconciliations delays were significant (more than three months for one recently completed reconciliation) or were overdue at the time of audit testing with no evidence on Mosaic that they had been performed.
**Agreed Action 1.1** The scheduling of account reconciliation will be managed by the Income Services Manager. Cases will be allocated to officers one month in advance of the review date. The working practice within Income Services has been to reconcile all accounts, including managed accounts. However, it is the responsibility of the support provider to undertake the reconciliation and delays in resolving managed account reconciliations has had the effect of delaying the commencement of self-managed account reconciliations. Income Services will no longer reconcile managed accounts.
<table>
<tr>
<td>Priority</td>
<td>2</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Income Services Manager</td>
</tr>
<tr>
<td>Timescale</td>
<td>Implemented</td>
</tr>
</table>
\<page_number>4\</page_number> **2 Designated bank account reconciliations**
<table>
<tr>
<td><strong>Issue/Control Weakness</strong></td>
<td><strong>Risk</strong></td>
</tr>
<tr>
<td>The accounts of customers who receive Direct Payments into a designated bank account are not reconciled in accordance with council policy.</td>
<td>Customers may misuse their Direct Payment or fail to pay their assessed contribution.<br>Budget provision may be affected by the accrual of account surpluses or failure to recover funds.</td>
</tr>
</table>
**Findings**
Based on the data provided there were nine Direct Payment customers who received the payments into a designated bank account at the time of audit testing. For five of these accounts there were no reconciliations available on Mosaic (although one account was opened in April 2017 and so the first reconciliation was not due at the time of audit testing). A further two accounts had been reconciled most recently in 2014 and 2015. Therefore, just one account had been reconciled in accordance with the council's Direct Payments policy.
**Agreed Action 2.1**
The Direct Payments policy will be presented to the Direct Payments Group for review and clarification will be sought regarding roles and responsibilities.
<table>
<tr>
<td><strong>Priority</strong></td>
<td>2</td>
</tr>
<tr>
<td><strong>Responsible Officer</strong></td>
<td>Head of Service – Adult Safeguarding, DoLS, Mental Health and Learning Disabilities</td>
</tr>
<tr>
<td><strong>Timescale</strong></td>
<td>May 2018</td>
</tr>
</table>
\<page_number>5\</page_number> 3 Allowance for agreed contingencies
<table>
<tr>
<td>Issue/Control Weakness</td>
<td>Risk</td>
</tr>
<tr>
<td>Agreed contingency items are not routinely accounted for in reconciliations.</td>
<td>Insufficient funds are available in the customer's account to be able to meet employer obligations.</td>
</tr>
</table>
**Findings**
Of the 20 Direct Payment accounts tested, six did not employ a personal assistant and so a DP2 reconciliation report had not been submitted. In a further two cases, customers employed a personal assistant but had not submitted a DP2. No reconciliations were on file for one customer. This left a population of 11 accounts for which a DP2 form had been submitted and the full range of contingency costs could be reviewed. Of these 11 accounts, employers' liability insurance had not been factored into the reconciliation on four occasions despite being recorded on the DP2 form (employee holidays provided were also not factored into one of these reconciliations). More generally, support costs and other contingencies were found not to have been included on the DP2s submitted. This issue was observed in the 2015/16 audit but it is the responsibility of the customer, nominated person or support provider to provide this information.
**Agreed Action 3.1**
DP2s will be checked and returned to the customer, nominated person or support provider if information appears to be missing or where the DP2 and Audit Reconciliation worksheet do not match. An additional seven days will be allowed for the return of this information.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Income Services Manager</td>
</tr>
<tr>
<td>Timescale</td>
<td>Implemented</td>
</tr>
</table>
<img>YORK logo</img>
\<page_number>6\</page_number> **4 Account monitoring**
| Issue/Control Weakness | Risk | |---|---| | Newly commissioned Direct Payment accounts are not monitored with the frequency required by council policy. | Financial loss to the council as the Direct Payment is used to pay for items which are not included in the customer’s support plan. | | | The customer fails to manage their finances correctly and thus has insufficient funds to meet their care needs. |
**Findings** Only one of the 10 accounts initially tested had been monitored at two, four and sixth months after the Direct Payment was commissioned as per the Direct Payments policy. However, all accounts had at least been monitored once within six months from commissioning and nine accounts had been monitored twice within this period. Although not fully compliant with the policy, this represents a marked improvement from the previous audit whereby no new accounts were monitored before six months after commissioning.
During the audit Income Services advised that the Direct Payment Monitoring workstep (the workflow item within the system which schedules account monitoring tasks) had not been configured until May 2017. Re-testing performed showed an increase in the performance of account monitoring from June 2017 onwards but still half of new or amended accounts had not been monitored at the frequency required by the Direct Payments policy.
**Agreed Action 4.1** Action undertaken at 1.1 should go some way to improving this issue and a system will be put in place to check, on a weekly basis, that all new Direct Payments are correctly scheduled for monitoring every two months for the first six months. Approval has been obtained from the Assistant Director – Adults and Social Care and the Head of Customer, Resident & Exchequer Services to remove the requirement for intensive monitoring during the first six months where a customer has previously had a successful Direct Payment in place.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Income Services Operations Manager</td>
</tr>
<tr>
<td>Timescale</td>
<td>Implemented</td>
</tr>
</table>
\<page_number>7\</page_number> <img>YORK logo</img> **5 Surplus reclaims**
| Issue/Control Weakness | Risk | |---|---| | Failure of Care Management to notify Income Services on a timely basis as to whether or not account surpluses can be reclaimed. | Direct Payment accounts accrue excessive surpluses, affecting the provision of the Direct Payments budget. |
**Findings**
If a surplus of over £50 after contingencies remains in a Direct Payment account following reconciliation, Income Services is required to notify Care Management as per the Escalation Policy. Care Management are expected to advise Income Services as to whether or not the surplus funds can be reclaimed (and, if not, reasons must be provided) within 28 working days.
Responses to surplus notifications had been received from Care Management in seven instances of the ten identified surpluses tested. Six of these responses had been received within the 28 working day timescale while a response to one notification took 66 working days. A further two notifications had not received a response at the time of audit testing and five months have elapsed for both. In one case, Care Management was not required to send notification to Income Services as the Direct Payment had in fact ended. Therefore, three of nine surplus notifications did not receive a timely response from Care Management and, as such, surpluses have remained in the account for an extended period of time.
**Agreed Action 5.1**
The Direct Payments policy will be presented to the Direct Payments Group for review and clarification will be sought regarding roles and responsibilities.
<table>
<tr>
<td>Priority</td>
<td>2</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Head of Service – Adult Safeguarding, DoLS, Mental Health and Learning Disabilities</td>
</tr>
<tr>
<td>Timescale</td>
<td>May 2018</td>
</tr>
</table>
\<page_number>8\</page_number>
<img>YORK logo</img> 6 Communication around failure to pay customer contribution
<table>
<tr>
<td>Issue/Control Weakness</td>
<td>Risk</td>
</tr>
<tr>
<td>Failure to ensure that all customers pay their assessed contribution.</td>
<td>The care needs of the customer may not be able to be met if insufficient funds are in the account.</td>
</tr>
</table>
**Findings**
The Direct Payment Escalation Policy requires that Income Services makes telephone contact with the customer or appointed person and then formal contact via letter where assessed contributions are not being paid. In eight of nine accounts identified as failing to pay the contribution, there was evidence to support the fact that this had been identified and challenged. However, this was not always directly to the customer (for example, a nominated person) as per the Escalation Policy and notifications to Care Management were not always provided or were not timely (after failure to pay the contribution had been confirmed following the most recent reconciliation).
The accounts of seven of the customers had not been brought up to date at the time of audit testing. Identification of non-payment will have been as long ago as November 2016 for two of these accounts. The most recent reconciliations for the five other accounts were performed in February, May and June 2017 so have not been brought up to date for between three and seven months.
**Agreed Action 6.1**
The Escalation Policy requires that Income Services contact the customer to discuss failure to pay their contribution. If the contribution is not paid the case is then escalated to Care Management. However, Care Management has been unwilling to accept escalated cases unless Income Services has written to the customer. This has caused significant delay in the escalation process and in the resolution of account finances.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Income Services Manager</td>
</tr>
<tr>
<td>Timescale</td>
<td>Implemented</td>
</tr>
</table>
The collection of contributions by invoice has been approved by Directorate Management Teams and is to be phased over the 2018/19 financial year to be fully implemented by 31 March 2019. All customer contributions from newly commissioned DPs will be collected by invoice from the start.
\<page_number>9\</page_number> 7 Annual support plan review
<table>
<tr>
<td>Issue/Control Weakness</td>
<td>Risk</td>
</tr>
<tr>
<td>Support plans are not routinely reviewed every 12 months.</td>
<td>The care needs of the customer change and the support plan is no longer appropriate or proportionate.</td>
</tr>
</table>
**Findings**
For three of the 10 Direct Payment accounts tested it was observed that a review of the customer’s support plan had not been undertaken on an annual basis and had in fact been significantly delayed by between four and as much as 13 months. Review of case notes and other correspondence on the customers’ Mosaic files revealed that scheduling issues had been encountered by the Social Care Manager (e.g. due to customer illness) and that this had contributed to the delay in review. A further three reviews were technically delayed but each by less than one month and so these were considered acceptable. Overall, it appears that annual reviews are not always timely but that this can be complicated by difficulties experienced with scheduling meetings with customers. Nonetheless, some of the delays identified were unreasonable despite the difficulties encountered.
**Agreed Action 7.1**
It will be ensured that the importance of the annual support plan review is reflected in any review of the Direct Payment policy undertaken by the Direct Payments Group.
<table>
<tr>
<td>Priority</td>
<td>2</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Head of Service – Adult Safeguarding, DoLS, Mental Health and Learning Disabilities</td>
</tr>
<tr>
<td>Timescale</td>
<td>May 2018</td>
</tr>
</table>
\<page_number>10\</page_number> Annex 1
# Audit Opinions and Priorities for Actions
**Audit Opinions** Audit work is based on sampling transactions to test the operation of systems. It cannot guarantee the elimination of fraud or error. Our opinion is based on the risks we identify at the time of the audit.
Our overall audit opinion is based on 5 grades of opinion, as set out below.
<table>
<tr>
<th>Opinion</th>
<th>Assessment of Internal control</th>
</tr>
<tr>
<td>High Assurance</td>
<td>Overall, very good management of risk. An effective control environment appears to be in operation.</td>
</tr>
<tr>
<td>Substantial Assurance</td>
<td>Overall, good management of risk with few weaknesses identified. An effective control environment is in operation but there is scope for further improvement in the areas identified.</td>
</tr>
<tr>
<td>Reasonable Assurance</td>
<td>Overall, satisfactory management of risk with a number of weaknesses identified. An acceptable control environment is in operation but there are a number of improvements that could be made.</td>
</tr>
<tr>
<td>Limited Assurance</td>
<td>Overall, poor management of risk with significant control weaknesses in key areas and major improvements required before an effective control environment will be in operation.</td>
</tr>
<tr>
<td>No Assurance</td>
<td>Overall, there is a fundamental failure in control and risks are not being effectively managed. A number of key areas require substantial improvement to protect the system from error and abuse.</td>
</tr>
</table>
**Priorities for Actions**
<table>
<tr>
<th>Priority</th>
<th>Description</th>
</tr>
<tr>
<td>Priority 1</td>
<td>A fundamental system weakness, which presents unacceptable risk to the system objectives and requires urgent attention by management.</td>
</tr>
<tr>
<td>Priority 2</td>
<td>A significant system weakness, whose impact or frequency presents risks to the system objectives, which needs to be addressed by management.</td>
</tr>
<tr>
<td>Priority 3</td>
<td>The system objectives are not exposed to significant risk, but the issue merits attention by management.</td>
</tr>
</table>
\<page_number>11\</page_number>
<img>YORK logo</img> Where information resulting from audit work is made public or is provided to a third party by the client or by Veritau then this must be done on the understanding that any third party will rely on the information at its own risk. Veritau will not owe a duty of care or assume any responsibility towards anyone other than the client in relation to the information supplied. Equally, no third party may assert any rights or bring any claims against Veritau in connection with the information. Where information is provided to a named third party, the third party will keep the information confidential.
\<page_number>12\</page_number> <img>YORK logo</img>
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<img>NORTHAMPTON BOROUGH COUNCIL Planning Committee logo</img>
PLANNING COMMITTEE: 17th May 2016 DIRECTORATE: Regeneration, Enterprise and Planning DIRECTOR: Steven Boyes
APPLICATION REF: N/2015/0479
LOCATION: Community Centre, 35 - 37 St James Mill Road
DESCRIPTION: Change of use from offices (use class B1) into Gurdwara and community centre (use class D1) including extensions and alterations
WARD: St James Ward
APPLICANT: Siri Guru Singh Saba Northampton AGENT: Resolution Planning
REFERRED BY: Director of Regeneration, Enterprise and Planning REASON: Of community interest
DEPARTURE: No
APPLICATION FOR DETERMINATION:
1. RECOMMENDATION 1.1 MINDED TO GRANT PLANNING PERMISSION subject to: a) The Planning Committee agree that an independent assessment of the health and safety impacts of the proposed development be carried out, and the subsequent findings will be reported back to the Committee; b) The conditions as set out below and for the following reason: The proposed development would be of benefit to the community and, subject to conditions, would have a neutral impact on flood risk, safety, the highway system, neighbour and visual amenity. The development is therefore in conformity with the requirements of the National Planning Policy Framework, Policy S10 of the West Northamptonshire Joint Core Strategy and Policies B14 and E20 of the Northampton Local Plan. **2. THE PROPOSAL**
**2.1** The applicant seeks planning permission to change the use of the property from offices to a place of worship and community centre. As part of the development, the applicant is proposing extensions to the northern and eastern elevations. A number of alterations to the various elevations of the building are also proposed.
**3. SITE DESCRIPTION**
**3.1** The application site currently consists of an office building, which has been vacant since the autumn of 2012. The application site and the surrounding area are allocated as being an existing business area. The surrounding area is characterised by the presence of commercial buildings, which are generally constructed to functional designs. Of further note is that the application site is in close proximity (approximately 100m) of a fuel storage depot.
**3.2** The site is predominantly level, with the building being surrounded by car parking and vehicle manoeuvring areas. The site is also sited within an allocated flood zone.
**4. PLANNING HISTORY**
**4.1** N/2012/0012 – Community Centre including extensions and alterations (Use Class D1) – Approved but has since lapsed.
**5. PLANNING POLICY**
**5.1** **Statutory Duty**
Section 38(6) of the Planning and Compulsory Purchase Act 2004 requires a planning application to be determined in accordance with the Development Plan unless material planning considerations indicate otherwise. The Development Plan for the purposes of this application comprises the adopted West Northamptonshire Joint Core Strategy (2014) and Northampton Local Plan (1997) saved policies. The Council also has a statutory duty under the Town & Country Planning (Development Management Procedure) Order (England) 2015 to consult the HSE on applications above certain thresholds and within the hazardous installations consultation zone.
**5.2 National Policies**
The National Planning Policy Framework (NPPF) sets out the current aims and objectives for the planning system and how these should be applied. In delivering sustainable development, decisions should have regard to the mutually dependent social, economic and environmental roles of the planning system. The NPPF should be read as one complete document.
**5.3** Paragraph 17 emphasises the importance of good design within the planning process and the need to secure a good standard of amenity for the future occupiers of the development and surrounding properties. In addition, paragraph 35 requires the creation of developments that contribute towards safe road layouts. Paragraph 100 requires that developments are protected from inappropriate flood risk.
**5.4** Paragraph 194 requires that Local Planning Authorities consult the appropriate bodies when determining applications, for development around major hazards. 5.5 West Northamptonshire Joint Core Strategy (2014) The West Northamptonshire Joint Core Strategy (JCS) provides an up to date evidence base and considers the current Government requirements for plan making as it has been prepared in full conformity with the NPPF. Policies of particular relevance are: S10 – Sustainable Development Principles
5.6 Northampton Local Plan 1997 (Saved Policies) Due to the age of the plan, the amount of weight that can be attributed to the aims and objectives of this document are diminished, however, the following policies are material to this application: B14 – Non-business uses E20 – New development
5.7 Supplementary Planning Documents Northamptonshire County Parking Standards SPG 2003
5.8 National Planning Practice Guidance The National Planning Practice Guidance (NPPG) states that the Health and Safety Executive’s (HSE) role is an advisory one and that it has no power to direct refusal of planning permission or of hazardous substances consent; however, advice from the HSE should only be overridden following the most careful consideration. The guidance states There may be particular issues to consider for hotels and similar developments where people may be unfamiliar with their surroundings, or which may result in a large number of people in one place….In view of its acknowledged expertise in assessing off-site risks presented by the use of hazardous substances, any advice from the HSE that planning permission should be refused for development for .at or near to hazardous installations or pipeline **should not be overridden without the most careful consideration**. In instances when a Local Planning Authority is minded to approve the application, the HSE should be re-notified. This provides them with a period of time to consider the Council’s proposed reasons for refusal and to make a decision on whether they will appeal against it by the Secretary of State. The NPPG advises that such 'call in' powers are only used very selectively.
6. CONSULTATIONS/ REPRESENTATIONS Comments received are summarised as follows:
6.1 Environment Agency – No objections, subject to a condition relating to the implementation of the recommendation of the submitted Flood Risk Assessment. 6.2 Highway Authority (NCC) – Request a condition requiring the submission of a Travel Plan. This is required due to the age of the previous document and the number of people that would be employed within the development. 6.3 Health and Safety Executive – Recommend that planning permission is not granted due to the proximity of the development to a fuel storage depot. Whilst it is noted that an evacuation plan has been submitted, implementation of this can degrade over time and events can happen quickly. It is the HSE's general advice that mitigation is best secured through separation distances.
**6.4 Northamptonshire Police Crime Prevention Design Advisor** – Make a number of recommendations regarding possible improvements to security at the site, such as door access controls.
**6.5 Environmental Health** – Request planning condition to be imposed regarding contamination investigation.
**7. APPRAISAL**
**7.1** It is recognised that the proposed development, which is a community use, is not located within a residential area near to local communities. It is also recognised that the quantum of development proposed (being a place of worship, with a variety of other community functions) limits the likely number of buildings in such areas that could accommodate the type of development proposed in this application. It is considered appropriate for the site proposal within a more commercial area as this allows for suitable off-street car parking to be provided. In addition, the application site is reasonably close to St James Road, which is well served by public transport.
**7.2** It is also considered that the development would be of benefit to the community and it is noted that 20 full time members of staff would be employed, in addition to a number of part time positions. Therefore the scheme would generate community and employment benefits in line with the requirements of Policy B14 of the Northampton Local Plan.
**7.3** In addition, the application site was most recently used as offices and a canteen. The NPPF advises that such functions should be located within allocated centres in order to promote the viability and vitality of these locations. The proposal would replace a similarly non-conforming land use and, as a consequence, there would be no significant adverse impact upon the viability and vitality of the area or a significant loss of employment opportunities.
**7.4** By reason of the character of the surrounding area and the application site, it is considered that the revised appearance of the building would have a neutral impact upon visual amenity. In order to provide some certainty of this, a condition is recommended that would ensure that the Council approves construction materials. The selection of materials will be consistent with those used on the surrounding buildings, combined with the scale of the proposals is sufficient to prevent any significant loss of amenity to surrounding properties in terms of considerations such as light, outlook and privacy.
**7.5** In line with the advice of the Highway Authority, a condition is recommended that would ensure the submission of an updated Travel Plan. This is needed as the previous document was drawn up in 2012 and due to the passage of time and the increase in the proposed number of staff working at the development.
**7.6** In order to ensure that the development does not adversely increase flood risk on the site or elsewhere, a condition is recommended to ensure that the development is constructed in accordance with details submitted with the application. This ensures that the proposal would proceed in line with the advice of the Environment Agency. 7.7 The comments from Northamptonshire Police's Crime Prevention officer are noted, but it is considered that these are more related to the management of the site, rather than a land use planning matter.
**Health and Safety issues**
7.8 The control of development in the vicinity of existing hazardous sites is informed through statutory consultation with the HSE. Site specific consultation zones are specified by HSE around all sites with hazardous substance consents and consultation with the HSE on planning applications within these zones is obligatory for all relevant development proposals such as residential development, and large retail, office or industrial developments. Consultation is also required on applications which are likely to result in an increase in the number of people working in or visiting the notified area.
7.9 The site is in close proximity to a fuel storage depot, and 50% of it falls within the development proximity zone (DPZ), where the Health and Safety Executive (HSE) advises against the granting of planning permission for all but "not normally occupied" development. On this basis, the HSE have raised objections regarding the proposed development. It is understood that the crux of these objections is that if there were to be an incident at the fuel storage depot, there may not be sufficient time to allow for the proposed development to be evacuated.
7.10 Whilst the site could be returned to use as a commercial/office development without needing planning permission, and therefore would not require HSE consultation, the HSE remain concerned about the nature of the proposed community use and the fact that large events could attract visitors who are not familiar with the buildings, its surroundings and the evacuation plan, and that they might not be able to safely evacuate the premises in an accident. Therefore the HSE have placed less weight on the evacuation plan that has been prepared by the applicant as events can develop at a fast rate. It is the advice of the HSE that mitigation is more appropriately secured through ensuring separation between various uses.
7.11 However, it is also important to consider, among other factors, the views expressed in Chapter 5 of the First Report of the Advisory Committee on Major Hazards (ACMH) and Chapter 4 of the Second Report of ACMH. In these reports it was stated that: "...the siting of developments should remain a matter for planning authorities to determine, since the safety implications, however important, could not be divorced from their wider social and economic considerations." "...local authorities are well placed to take proper account of the full range of local factors, including safety issues, which are relevant to a planning decision."
When assessing the HSE advice and the potential risk to users of the facility, HSE considers the following factors when deciding whether to call applications in:
- **The size of the development:** Whilst the Community Centre has the potential to attract increased numbers of visitors to the facility, as in previous use, as a café/bar and as Use Class B1 office elements of the Cosworth site, was an unrestricted use in planning terms and could have attracted significant numbers of staff and visitors in its own right. The size of the facility proposed is also not as significant as, for example, a large housing site and therefore is not of a major scale.
- **The extent of occupation:** The applicant has submitted details of potential use which confirms that whilst the community centre would be open every day, for the majority of the day there would be limited numbers of people on site.
- The frequency of occupation. The information submitted with the application also confirms that the occasions when the facility is likely to have significant numbers of visitors, such as weddings, are very limited.
- The scale of the hazardous substance facility. The fuel storage tanks are large, but the site as a whole is not as significant as, for example, as busy oil refinery, and therefore the potential risk is not of a major scale.
7.12 As with any objection, it is necessary to weigh any potential harm against the likely benefits of the development. In this instance, it is considered that the presence of an evacuation plan, which can be secured through a planning condition, carries some weight in the determination of the planning application as this provides some assurances that the proposed development would operate with strategies in place to ensure that any event at the fuel storage depot could be responded to. Furthermore, the development does provide community benefits in the form of an enlarged place of worship, with improved parking facilities when compared to the existing site operated by the applicant. In addition, the development would provide a wide range of other facilities, including classrooms, a computer room, a library and meeting rooms.
7.13 It is considered that weight should be given to the fact the proposed development would result in the reuse of a prominent and vacant site, creating a valuable community facility, whilst the proposed works would improve the appearance of the site, which would be beneficial to the visual amenity of the locality.
7.14 Therefore, on balance, it is considered that the benefits of the scheme could outweigh the concerns of the HSE and these therefore should not form a barrier to the development proceeding. However, given the technical nature of the issues raised, an independent assessment of the health and safety issues raised has been commissioned. The results of this will be reported back to a future Committee meeting.
7.15 Following the submission of this report, if members are in agreement that the proposal represents an acceptable form of development, the Council would be required to re-notify the HSE. They would then have a 21 day period to consider requesting that the application be determined by the Secretary of State, which is normally only 'in cases of exceptional concern or where important policy or safety issues are at stake (NPPG, paragraph 072).
7.16 As the planning condition requested by Environmental Health has previously been discharged, it is not necessary to impose such a condition in this instance.
8. CONCLUSION
8.1 It is considered, subject to the approval of an independent assessment of the health and safety issues raised by the proposal, that, on balance, the concerns raised by the HSE are outweighed by the securing an evacuation management plan and the benefits of the scheme in terms of creating an additional community facility. As the development would have a neutral impact upon the character and appearance of the area and neighbour amenity, it is considered that the development is acceptable.
09. CONDITIONS
10. The development hereby permitted shall be begun before the expiration of three years from the date of this permission.
Reason: To comply with Section 91 of the Town and Country Planning Act 1990. 2. The development hereby permitted shall be carried out in accordance with the following approved plans: AA2093/2006; AA20093/2007; AA2093/2012; AA2093/2013; AA2093/2021; and AA2093/2022
Reason: For the avoidance of doubt and to accord with the terms of the planning application.
3. Details of all proposed external facing materials shall be submitted to and approved in writing by the Local Planning Authority. Development shall be carried out in accordance with the approved details.
Reason: In the interests of visual amenity and to ensure that the development will harmonise with its surroundings in accordance with Policy E20 of the Northampton Local Plan.
4. The premises shall be used as a place of worship and a community centre and for no other purpose (including any other purpose in Class D1 of the Town and Country Planning (Use Classes) Order 1987 or in any provision equivalent to that Class in any statutory instrument revoking and re-enacting that Order with or without modification.
Reason: In order to ensure that the impacts of alternative uses are given full consideration by the Local Planning Authority in accordance with the requirements of the National Planning Policy Framework.
5. The development hereby permitted shall only be carried out in accordance with the approved flood risk assessment (FRA) BCAL Ref. 449R2003A FRA "revision A" dated 18 January 2012 and the following mitigation measured within it. No ground floor sleeping accommodation as shown on Drawing 10-155-03 Rev. C dated June 10 (appendix B).
Reason: to reduce the risk of flooding to the proposed development and future occupants in accordance with the requirements of the National Planning Policy Framework.
6. Prior to the first occupation of the premises hereby approved, a travel plan shall be submitted to and approved in writing by the Local Planning Authority. The plan shall be implemented at all times that the development is occupied unless otherwise agreed in writing by the Local Planning Authority.
Reason: To reduce the reliance on the private car for journeys to work in accordance with the National Planning Policy Framework.
7. The refuse storage as shown on drawing AA2093/2022 shall be fully implemented prior to the first occupation of the development hereby permitted and shall be retained thereafter.
Reason: In the interests of amenity and to secure a satisfactory standard of development in accordance with the National Planning Policy Framework.
8. The development hereby permitted shall at all times operate in accordance with the details contained within the submitted Health and Safety Policy, dated January 2016. Reason: In the interests of ensuring the safety of future users of the development in accordance with the requirements of the National Planning Policy Framework.
**10. BACKGROUND PAPERS**
**10.1 N/2015/0479**
**11. LEGAL IMPLICATIONS**
**11.1 None**
**12. SUMMARY AND LINKS TO CORPORATE PLAN**
**12.1 In reaching the attached recommendations regard has been given to securing the objectives, visions and priorities outlined in the Corporate Plan together with those of associated Frameworks and Strategies.** <img> A map showing the area around 35-37 St James Mill Road, Northampton. The map includes streets such as St James's Mile Road, Millbrook Close, and Harvey Reeves Road. There are buildings, tanks, and industrial estates marked on the map. A red outline highlights the area around 35-37 St James Mill Road. </img>
Title: 35-37 St James Mill Road
© Crown Copyright 2016. Reproduced from Ordnance Survey data with the permission of the controller of Her Majesty's Stationery Office. Ordnance Survey is a trademark of the Controller of Her Majesty's Stationery Office.
Date: 09-05-2016 Scale: 1:2,000 Drawn by: Planni
NORTHAMPTON MERCURY COUNCIL
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A logo featuring a shield with a crown at the top and the words "NORTHAMPTON MERCURY COUNCIL" below it.
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<td>Posts</td>
<td>Mast LB</td>
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<td>Lighting Tower</td>
<td>Industrial Estate</td>
<td>Lighting Tower</td>
<td>Tanks</td>
<td>Tar</td>
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<td>Sufford Issues</td>
<td>The Mill</td>
<td>MILL BROOK CLOSE</td>
<td>El Sub Sta</td>
<td>Tanks Depot Tanks</td>
<td>Estate</td>
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<td>ST JAMES'S MILE ROAD</td>
<td>El Sub Sta</td>
<td>J81 El Sub Sta</td>
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Ministry of Defence
Synopsis of Causation
Personality Disorder
Author: Dr David M B Christmas, University of Dundee, Ninewells Validator: Dr Jonathan Bisson, Senior Lecturer in Psychiatry, University Hospital of Wales, Cardiff
September 2008 **Disclaimer**
This synopsis has been completed by medical practitioners. It is based on a literature search at the standard of a textbook of medicine and generalist review articles. It is not intended to be a meta-analysis of the literature on the condition specified.
Every effort has been taken to ensure that the information contained in the synopsis is accurate and consistent with current knowledge and practice and to do this the synopsis has been subject to an external validation process by consultants in a relevant specialty nominated by the Royal Society of Medicine.
The Ministry of Defence accepts full responsibility for the contents of this synopsis, and for any claims for loss, damage or injury arising from the use of this synopsis by the Ministry of Defence.
\<page_number>2\</page_number> **1. Definition**
**1.1. Overview.** The classification of personality and the diagnosis of personality disorders has been a contentious subject for many years. Whereas most mental disorders represent an alteration in the normal functioning of an individual (an abnormal “state”), personality disorders represent exaggerations of “traits” that are frequently present in the normal population. However, despite the difficulties that have arisen in its classification, specific patterns of personality dysfunction appear to occur among certain people.
**1.1.1.** A significant minority of patients with mental health problems will be found to have comorbid personality disorder. Indeed, it can often be difficult to differentiate someone’s premorbid personality traits from the effects of illness. For example, a depressed patient may seem morose, humourless, withdrawn, and irritable. These symptoms (which are common in depression (e.g., psychotic illnesses or mood disorders) has the potential to affect the individual’s personal and social development, frequently causing diagnostic difficulties. As a general rule, abnormal mental states represent a change from normal, but personality disorders are enduring and consistent patterns.
**1.1.2.** The diagnosis of personality disorder is fraught with procedural and classification difficulties. One criticism of the concept as a whole has been that the collections of symptoms and behaviours thus described do not appear to fit easily into a disease framework. Certainly, there is no consistent model which explains the nature of personality disorders. From a practical point of view, the standard methods of assessment (such as structured interview and self-report questionnaire) have low consistency. Furthermore, it is a frequent observation that the diagnosis of personality disorder is often made pejoratively.
**1.2. Normal personality development**
**1.2.1** **Psychodynamic theories.** Sigmund Freud believed that the personality has three main components: the ego, the id, and the superego. The id is totally unconscious and is made up of the basic inborn drives, and the sexual and aggressive impulses. The superego is the moral structure of personality and consists of conscience and ideals which are derived through the internalisation of parental or other authority figures. Freud believed that the superego is involved in the experience of guilt, perfectionism, indecision, and preoccupation with right or wrong. He argued that it was responsible for depression, obsessional disorders and sexual problems. The ego is the conscious part of the whole and uses reason to maintain a sense of reality. It is responsible for the control and regulation of instinctual drives.
In essence, Freud thought that our early childhood experiences were too threatening to be dealt with consciously and that via a variety of defence mechanisms (the main one being repression) we can reduce the anxiety of this conflict. Freud’s theories have been developed and modified over the last hundred years or so by a variety of analysts but key concepts such as conscious and unconscious, and instinctual drives have persisted in common usage.
\<page_number>3\</page_number> 1.2.2 **Trait theories.** All trait theories make 3 assumptions. Firstly, traits are stable across time and, therefore, predictable. Secondly, traits are stable across different situations and can explain why people act in predictable ways in different settings. Finally, that individuals differ in how much of a particular trait they possess, resulting in an infinite variety of unique personalities.
One of the first prominent trait theories was developed by Raymond Cattell in 1965. He used factor analysis to calculate the degree to which various personality traits correlated with each other. He identified 16 “factors”, such as shy versus bold and trusting versus suspicious, which he proposed are present in everyone.
Hans Eysenck used a dimensional approach to the categorisation of personality. He argued that personality can be described along 3 dimensions: psychoticism (consisting of cruelty, hostility, oddness); introversion-extraversion; and emotionality-stability, also known as neuroticism (characteristics such as worry, anxiety and moodiness). His theories predicted that criminals tended to be emotional and extraverted, whilst anxious people score highly on emotionality and introversion.
One of the most robust trait theories is the “Big Five” model. Factor analysis has reduced the number of factors down to 5. The 5 factors are: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. Studies have demonstrated that these factors are present in a variety of different cultures from around the world.
1.2.3 **Social learning theories.** These view personality as the sum of all the cognitive and behavioural habits that individuals develop through learning from experience in the world. Social learning theorists argue that their approach provides a high degree of predictability of most people’s behaviour in a variety of situations.
1.3. **Common approaches to the diagnosis of personality disorder**
1.3.1 The European and American classification of psychiatric disorders, i.e. the International Classification of Diseases 10 (ICD-10) and the Diagnostic and Statistical Manual IV (DSM-IV) respectively, differ slightly in their classification of personality disorders. Both systems are, however, non-aetiological classification systems; individual disorders are based on collections of symptoms rather than on distinct disease processes.
1.3.2 Personality disorder in both systems is characterised by the presence of abnormal traits which are maladaptive and which result in persistent dysfunction and/or personal distress in a number of areas, including social relationships, employment, self-image, and interpretation of the world.
1.3.3 ICD-10 identifies 9 main types of personality disorder, which are discussed later in more detail. The ICD-10 does not offer definitions of key terms or guidance on the extent to which a trait should be present in order to make a diagnosis. For example, it does not define “long duration” and does not indicate when “late childhood or adolescence” can be considered to start or end.
\<page_number>4\</page_number> 1.3.4 One of the key differences between ICD-10 and DSM-IV is the multi-axial approach of the US classification. Mental illness is classified on the first axis, whilst personality disorder, if present, is classified on the second axis. Axes III-V cover physical illness, social stressors, and level of functioning.
1.3.5 The DSM-IV organises personality disorders into one of three “clusters” which contain disorders that share similar groups of symptoms and personality dysfunction. Like the ICD-10, there are no definitions of key terms to assist in assigning the person to the appropriate cluster:
- Cluster A (odd/eccentric). This cluster contains paranoid personality disorder, schizoid personality disorder, and schizotypal personality disorder
- Cluster B (dramatic/emotional/impulsive). This group consists of antisocial personality disorder, borderline personality disorder, histrionic personality disorder, and narcissistic personality disorder
- Cluster C (anxious/fearful). This cluster contains avoidant personality disorder, dependent personality disorder, and obsessive-compulsive (anankastic) personality disorder
1.3.6 In terms of diagnostic criteria, for some personality disorders (histrionic, dissocial, and anxious/avoidant), ICD-10 has a slightly higher threshold, requiring more criteria to be met for diagnosis. It should also be noted that although most people with personality disorder will fit one specific type, some people with personality disorder have features of several different types.
1.4. **ICD-10 criteria for personality disorder**
1.4.1 There is evidence that the individual's characteristic and enduring patterns of inner experience and behaviour as a whole deviate markedly from the culturally expected and accepted range. Such deviations must be manifest in more than one of the following areas:
- Cognition (i.e. ways of perceiving and interpreting things, people and events, forming attitudes, and images of self and others)
- Affectivity (range, intensity and appropriateness of emotional arousal and response)
- Control over impulses and gratification of needs
- Manner of relating to others and of handling interpersonal situations
1.4.2 The deviation must manifest itself pervasively as behaviour that is inflexible, maladaptive, or otherwise dysfunctional across a broad range of personal and social situations.
1.4.3 There is personal distress or adverse impact on the social environment, or both.
1.4.4 There must be evidence that the deviation is stable and of long duration, having its onset in late childhood or adolescence.
\<page_number>5\</page_number> 1.4.5 The deviation cannot be explained as a manifestation or consequence of other adult mental disorders.
1.4.6 Organic brain disease, injury, or dysfunction must be excluded as the possible cause of the deviation.
**1.5. DSM-IV criteria for personality disorder**
**1.5.1** An enduring pattern of inner experience and behaviour that deviates markedly from the expectations of the individual’s culture. This pattern is manifested in 2 (or more) of the following areas:
- Cognition (i.e. ways of perceiving and interpreting self, other people, and events)
- Affectivity (i.e. the range, intensity, lability, and appropriateness of emotional response)
- Interpersonal functioning
- Impulse control
**1.5.2** The enduring pattern is inflexible and pervasive across a broad range of personal and social situations.
**1.5.3** The enduring pattern leads to clinically significant distress or impairment in social, occupational, or other important areas of functioning.
**1.5.4** The pattern is stable and of long duration and its onset can be traced back at least to adolescence or early adulthood.
**1.5.5** The enduring pattern is not better accounted for as a manifestation or consequence of another mental disorder.
**1.5.6** The enduring pattern is not due to the direct physiological effects of a substance (e.g. a drug of abuse, a medication) or a general medical condition (e.g. head trauma).
\<page_number>6\</page_number> **2. Clinical Features**
**2.1.** For each of the disorders below, the cardinal features required for diagnosis using ICD-10 are italicised under the heading “clinical features”. Typically, 3-4 of these features should be present along with the core features of personality disorder described above.
**2.2. General**
**2.2.1 Epidemiology.** Most studies show relatively consistent rates of personality disorders within the general population and among specific groups of individuals. Among community samples the prevalence rate of DSM-IV disorders is approximately 9%, with lower rates (5.1%) for ICD-10 disorders. The prevalence of all personality disorders is raised in psychiatric patients and, among community mental health teams, the rates of comorbid personality disorder in patients with a psychotic illness may be as high as 92%.
**2.3 Paranoid personality disorder**
**2.3.1 Epidemiology.** 0.7% of the general population has this disorder which is found in 4 times as many men than women.\*
**2.3.2 Clinical features (4 should be present).** People with paranoid personality disorder tend to be overly *suspicious*, and misconstrue the neutral intentions of others as being hostile or threatening. They are *mistrustful*, interpreting events as being conspiratorial. They are *sensitive* to setbacks, and have a tendency to *bear grudges*. They are typically *argumentative* and their sense of personal rights is out of keeping with the situation. Their relationships are characterised by *jealousy*, repeatedly doubting the sexual fidelity of their partner. Most patients are *self-centred*, with a self-referential and self-important outlook.
**2.4 Schizoid personality disorder**
**2.4.1 Epidemiology.** Approximately 1% of the UK population has schizoid personality disorder.\* It is more common in men than women.
**2.4.2 Clinical features (4 should be present).** These individuals are *humourless*, with few activities providing pleasure. They are seen by others as “loners”, tending to be *emotionally cold*, with little expression of emotion. Indeed, they tend to be *detached* - having limited ability to express warmth, tenderness, or even anger towards other people. In social situations, they appear *indifferent* to praise or criticism. Their activities are *solitary* and they are *lovedless*, showing minimal interest in forming sexual relationships with other people. They have a desire for close friendships and most appear to be *introverted*. Many schizoid people are introspective, and preoccupied with fantasy. In keeping with their indifference to social relationships, they often appear to be *unconventional*, showing little sensitivity to social norms and conventions.
**2.5 Dissocial personality disorder**
**2.5.1 Epidemiology.** Dissocial personality disorder is much commoner in men than women with up to 3-5% of men in the general population having the disorder.\*
\<page_number>7\</page_number> Higher rates are found in younger adults, urban populations, the prison population, substance misuse programmes, and lower socio-economic groups.
\*\*2.5.2 Clinical features (3 should be present). The outdated name for people with this disorder was “psychopath”. The disorder is characterised by a callous unconcern for other people’s feelings. Individuals with antisocial PD tend to ignore social norms, behaviours, and rules, and they have difficulty with the police. They have a low tolerance to frustration and will frequently resort to aggression and violence. Frequently presenting as being charming, they have no difficulty in establishing relationships, but have difficulty in maintaining them, resulting in short relationships. They display a lack of guilt, failing to respond to adverse experience such as punishment, and they tend to blame others for their behaviour.
**2.6 Emotionally unstable personality disorder (Borderline personality disorder)**
**2.6.1 Epidemiology.** This disorder is present in approximately 1% of the general population. Three quarters of people with borderline personality disorder are women.
\*\*2.6.2 Clinical features (5 should be present). Individuals with borderline personality disorder tend to have unstable and capricious moods, combined with chronic feelings of emptiness. They have poor self-image, with longstanding disturbances of self-image, including sexual preference. They tend to have relationship crises, with a pattern of intense and unstable relationships. Most people who develop this disorder do so at a young age, acting impulsively without thinking of the consequences. If others tend to criticise such impulsive acts, they can become quarrelsome. At times, their behaviour can be explosive, with an inability to control the outbursts of anger or violence. In the longer term, they are desultory – having difficulty in continuing courses of action which do not have immediate reward. Such individuals have a fear of abandonment, making excessive efforts to avoid being abandoned. Self-harm (either threats or acts) is common.
**2.7 Histrionic personality disorder**
**2.7.1 Epidemiology.** Histrionic personality disorder is estimated to be present in 2-3% of the general population. It is more common in women than men.
\*\*2.7.2 Clinical features (4 should be present). Individuals with histrionic personality disorder are characteristically dramatic, with theatrical or exaggerated displays of emotion. Their prevailing mood is typically shallow and labile, and they are stimulus seeking – constantly trying to be the centre of attention. They may appear to live in a fantasy world, often becoming bored with routine. Such people tend to be exaggeratedly, easily impressed by the people around them and by the circumstances. Their behaviour may be flamboyant or selective at times but they are emotionally shallow. Individuals are often vain, and overly concerned about their attractiveness.
\<page_number>8\</page_number> 2.8 Anankastic personality disorder
2.8.1 Epidemiology. About 2% of the general population has obsessive-compulsive personality disorder with twice as many men than women having this disorder. Rates are higher in those with anxiety and depressive disorders.
2.8.2 Clinical features (4 should be present). Such individuals are excessively cautious, expressing doubt about most of their activities. They are obsessed by orderliness, and are preoccupied with rules, lists, order, and organisation. They are conscientious, but this conscientiousness is excessive. They are typically perfectionist in what they do, but such perfectionism interferes with the completion of tasks and activities. Indeed, their preoccupation with productivity excludes other pleasurable activities and social relationships. They can also be pedantic and rigid, appearing stubborn in their manner and beliefs. They will often adhere excessively to social conventions, and may be reluctant to allow others to do things their way. Such people find it difficult to relax and may appear to be 'workaholics'. Because of their stiffness and formality, they may have problems in the workplace or in interpersonal relationships.
2.9 Anxious (avoidant) personality disorder
2.9.1 Epidemiology. Among the general population, 0.5-1% of people has this disorder.
2.9.2 Clinical features (4 should be present). People with anxious personality disorder exhibit a high degree of anxiety, feeling tense and apprehensive in most situations. They are preoccupied with being criticised or rejected in social situations. Often they will feel inferior, unattractive, or socially inept. As a result, they will frequently avoid social or occupational situations which involve personal contact for fear of criticism or fear of rejection. They are often afraid to trust people, and will avoid social contact unless they are certain of being liked. Due to their anxiety and need for physical security, they tend to lead a restricted lifestyle. These people may also have features of dependent personality disorder and many will meet criteria for social phobia.
2.10 Dependent personality disorder
2.10.1 Epidemiology. The prevalence in the general population tends to be lower than other personality disorders, with rates typically being lower than 0.5%.
2.10.2 Clinical features (4 should be present). People with dependent personality disorder are dependent on others for making most of life's decisions. They need reassurance and cannot make decisions without excessive amounts of advice and reassurance from others. They are 'independent' when they need help; those that they depend on will still be very compliant with their wishes. They are demanding, finding it difficult to make demands on the people that they depend on. They have a fear of not coping, and when left alone they feel helpless because they fear that they cannot look after themselves. Typically, they will have problems questioning authority, and ask others for guidance.
\<page_number>9\</page_number> 3. Aetiology
3.1. Introduction
3.1.1. The aetiology of personality disorder is largely unknown. Indeed, whilst certain associations have been described between specific life experiences and later personality disorder(s), the mechanism by which this influences behaviour is not known. Similarly, the development of most personality disorders is believed to have a genetic component, but the precise mechanism of interaction between a genetic predisposition and later experience is yet poorly understood.
3.1.2. Most theories of abnormal personality development reflect psychodynamic theories of the self. Such theories focus on early childhood experiences and how these affect the development of a person’s relationships with the world and other people. Most psychodynamic theories relate to early life (typically childhood) and such theories predicate that the effects of adverse experience as a teenager will be very different to that of an infant. There is no evidence that adverse experience in an individual over the age of 16 can cause personality disorder by itself. Indeed, in most cases there is evidence of disturbance of functioning prior to this, and such a diagnosis would be extremely rare in someone with normal personality functioning prior to the late teens.
3.1.3. It should be noted that most personality disorders research is conducted on relatively small numbers of patients, and it is difficult to confidently extrapolate findings to all cases of personality disorder.
3.2. Paranoid personality disorder
3.2.1. Some have found that the incidence of schizophrenia-like personality disorders is higher in first-degree relatives of those with schizophrenia.” The nature of this link is not established. Others have proposed that deficits in childhood care might account for the development of paranoia and hostility in adulthood, but such ideas are largely theoretical and unsupported by evidence.
3.2.2. Other theories suggest that abnormalities of the dopaminergic system in the brain (which shows abnormalities in schizophrenia) may account for dysfunctional patterns of thinking which are reflected in distorted interpretations of the world.\\textsuperscript{10}
3.3. Schizoid personality disorder
3.3.1. The dopaminergic system in the brain is involved with behavioural adaptation to rewarding stimuli. Associations have been reported with polymorphisms of the dopamine D2 receptor and schizoid/avoidant behaviours,\\textsuperscript{11} suggesting that common abnormalities of dopamine function may contribute to disorders on the schizophrenic spectrum. Such findings have yet to be replicated by other genetic studies and remain associations only.
\<page_number>10\</page_number> 3.4. Dissocial personality disorder
3.4.1. The causes of this disorder, as other personality disorders, are likely to involve a complex interaction between genetic influences, developmental factors, and social behaviour.
3.4.2. Family studies would support a genetic component to antisocial behaviour, with twins sharing a greater number of antisocial characteristics. This, together with similar findings from adoption studies, supports the view that genetic factors account for some degree of antisocial behaviour. 13,14
3.4.3. Reduced central serotonergic activity has been associated with impulsive aggression in a subset of patients with personality disorder. A common finding in other studies supports a relationship between violent suicide attempts and low metabolites of serotonin in the cerebrospinal fluid. However, the evidence would not support the conclusion that serotonergic abnormalities underlie antisocial behaviour in all cases of dissocial personality disorder.
3.4.4. The evidence for structural and functional brain abnormality is weak. Reported findings include: frontal lobe hypo-pertusion in some cases of antisocial behaviour; reduced activity in the limbic system when processing emotional information in criminal psychopaths; and reduced volume of the prefrontal cortex in antisocial personality disorder. Neuroimaging studies tend to be small (typically 15-20 individuals) and such findings, however interesting, should not be seen as underpinning all cases of dissocial behaviour.
3.4.5. In terms of developmental factors, growing up with an alcoholic or psychopathic father is reported to be associated with adult antisocial behaviour. Some studies have found further associations with a history of physical abuse and low parental care with maternal overprotection. However, such studies are small scale and such putative associations cannot be assumed to reflect common factors in causation.
3.5 Borderline personality disorder (BPD)
3.5.1 Over 85% of people with BPD will have experienced childhood trauma, either physical or sexual. Psychodynamic theories posit that such trauma impacts on the development of the self, and it is probable that the earlier the abuse occurs the more damaging to the personality it tends to be.
3.5.2 Psychodynamic theories go on to develop the idea that early abuse or neglect affects the individual’s ability to think about their own feelings, as well as those of others. A lack of sense of self has been proposed as the core pathology in BPD. In order to deal with childhood trauma, it is suggested that the individual resorts to “depersonalization” which involves multiple disintegration (separation of cognitive and emotional functions) and “splitting” (conflicting yet simultaneous emotions/thoughts), the latter of which is frequently encountered in patient care.
3.6 Histrionic personality disorder
3.6.1 Some researchers have suggested that a similar core pathology underlies histrionic personality disorder in women and dissocial personality disorder in
\<page_number>11\</page_number> men,\\textsuperscript{29} but empirical evidence for this is lacking. Indeed, there is little research into the \\textit{aetiology} of histronic personality disorder but as with other personality disorders, it is assumed to have developmental, social, and genetic contributory factors.
3.6.2 Individuals with histronic or antisocial personality disorders will often share common features in terms of a history of childhood abuse, and lack of emotional care.
3.7 \\textbf{Anankastic personality disorder}
3.7.1 Twin studies suggest a degree of heritability to obsessive-compulsive traits.\\textsuperscript{36,27} Many authors argue for the existence of an obsessive-compulsive spectrum, which also includes other disorders such as Tourette’s syndrome and body dysmorphic disorder.\\textsuperscript{38,39} However, only 6% of patients with obsessive-compulsive disorder have obsessive-compulsive personality disorder,\\textsuperscript{38} and the relationship between the two is not clear.
3.8 \\textbf{Anxious (avoidant) personality disorder}
3.8.1 Since the core feature of this disorder is avoidance of social situations, it is thought that such individuals may be on a spectrum that includes anxiety disorders such as social phobia.\\textsuperscript{40} As with most personality disorders, a degree of inheritance of biological vulnerability is assumed and those with reduced self-esteem from overly-critical parenting tend to be socially avoidant, which will perpetuate the problem throughout schooling. Little is otherwise known about the causes of this personality disorder.
3.9 \\textbf{Dependent personality disorder}
3.9.1 Most theories about the \\textit{aetiology} of this disorder focus on psychodynamic theories of personality development. For example, Sigmund Freud believed that dependent personality was due to fixation on the oral phase of psychosexual development. However, there is little empirical evidence to support such theories and very little is known about the \\textit{aetiology} of this disorder.
3.10 \\textbf{Relationship between military service and personality disorders}
3.10.1 Due to the way that personality disorder is defined (i.e. evidence of enduring patterns of behaviour from late childhood or adolescence onwards), the strength of association between personality disorder and military service reduces with advancing age of military experience. A diagnosis of personality disorder is extremely unlikely in someone with no disturbance of function or social relationships during their life. There is no evidence to suggest that specific experiences associated with military service have any causal link with the development of personality disorder.
3.10.2 There is evidence that premorbid personality factors may act as vulnerability factors for the development of specific mental disorders. For example, Axelrod et al report that features of pre-war borderline personality disorder accounted for variability in post-combat symptoms of post-traumatic stress disorder (PTSD).\\textsuperscript{41} Other studies have identified that individuals with PTSD are more
\<page_number>12\</page_number> likely to have personality dysfunction of a number of types: paranoid, borderline, and avoidant. 3,34 However, these studies cannot support the conclusion that PTSD or trauma causes the personality disorder, and the extent to which personality disorder predisposes to PTSD is largely unknown. Whilst the presence of personality disorder tends to be a risk factor for mental disorders such as depression\* and drug misuse\*, the nature and extent of this vulnerability is not yet understood.
3.10.3 In terms of antisocial behaviour, associations have been identified between combat exposure and adult antisocial behaviour. Within studies performed in Vietnam veterans, it has been suggested that trauma may perpetuate adult antisocial behaviour in some individuals.\* These findings have not been replicated in larger studies, or within combat veterans from different theatres of conflict, so the strength of association is uncertain and conclusions cannot be drawn.
3.10.4 Among US veterans of the Persian Gulf War in 1991, lower rates of hospitalisation for personality disorder have been reported.\* The study lacked detailed assessments of pre-combat mental health and a greater rate of outpatient treatment for personality disorders might account for such findings. It would be fallacious to conclude that combat exposure reduces prevalence rates of personality disorder or that individuals with personality disorder are somehow directed away from combat duties.
\<page_number>13\</page_number> **4. Treatment and Prognosis**
**4.1 General principles**
- 4.1.1 By their nature, personality disorders tend to be lifelong patterns of malfunction and distress which are not readily amenable to treatment. In addition, people with personality disorder of any type are generally more vulnerable to other psychiatric disorders which, if present, should be treated. In some individuals, effects of personality disorder diminish with ageing, perhaps due to adoption of more effective coping behaviours. In addition, for those individuals who do experience improvements in functioning with treatment, the goal will often be one of managing to cope with, or adapt to, the distressing problems associated with the diagnosis.
- 4.1.2 **Psychodynamic psychotherapy.** Only certain types of personality disorder may respond to “insight-oriented” treatments such as psychodynamic psychotherapy. Such disorders include anankastic, anxious (avoidant), and dependent types. Such treatment may require as long as 5 years to show any benefit. The number of studies is small, but psychodynamic psychotherapy appears to have reasonable effect sizes.
- 4.1.3 Psychotherapy is generally not recommended for paranoid or dissocial personality disorders since the individual may resent the therapist, whom they may view as trying to control them.
**4.1.4 Cognitive behavioural therapy (CBT).** A CBT-based approach may be helpful for individuals with avoidant or dependent personality disorders.
**4.2 Paranoid personality disorder**
- 4.2.1 **Treatment.** Psychological approaches are unlikely to be fruitful for the reasons given above. If comorbid anxiety or depression is present, then anxiolytics or antidepressants may be useful. Low-dose antipsychotics might have a role if psychotic symptoms become evident.
- 4.2.2 **Outcome.** Paranoid individuals are likely to generate hostility and social anxiety in peers, which might contribute to continued paranoid interpretations of the world. Some people will undoubtedly develop frank delusional thinking in late adolescence together with hallucinations and thought disorder, and go on to develop schizophrenia. Others may harbour longstanding fixed paranoid interpretations without other psychotic symptoms and attract a diagnosis of delusional disorder.
**4.3 Dissocial personality disorder**
- 4.3.1 **Treatment.** There is some suggestion that group therapy is more effective than individual therapy but large, randomised trials have not been performed. Groups tend to be small, with insufficient numbers of therapists. Self-help groups may be beneficial for some. Traditionally, the therapeutic community has been a popular form of treatment but such resources are inevitably limited.
\<page_number>14\</page_number> 4.3.2 A variety of pharmacological treatments for impulsivity and aggressive behaviour have been suggested, although large, randomised controlled trials are lacking. Lithium has been shown to reduce aggression in prisoners, and other drugs used to treat aggression include phenytoin, carbamazepine, propranolol and the antipsychotic drugs. 7,8,14
4.3.3 **Outcome**. Antisocial behaviour is frequently a lifelong pattern, in most cases developing before the age of 15. Adolescent problem behaviour appears to be a predictor of adult antisocial behaviour, although antisocial behaviour tends to decrease with increasing age. This may be due to maturation of the personality, or the presence of a supportive and compensatory relationship.
4.3 Borderline personality disorder (BPD)
4.4.1 **Treatment**. Dialectical behaviour therapy (DBT) is a novel treatment method which has been designed for the treatment of BPD. It is based on the belief that individuals with BPD have difficulties in self-regulation and interpersonal skills, and it assumes that these can be learnt in therapy. It incorporates a variety of techniques including individual therapy, group skills training, telephone contact, and therapist consultation. DBT has been shown (including in some randomised controlled trials) to reduce self-harming behaviour and reduce hospitalisation of those undergoing therapy. 20
4.4.2 Psychoanalytic approaches have been the most commonly used treatment for some time, and have demonstrated effectiveness over 18 months. It seems likely that for many people, a stable therapeutic relationship might be helpful in allowing a more functional psychological development.
4.4.3 A variety of pharmacological treatments have been trialled for the treatment of BPD. Olanzapine, an antipsychotic, has been found to improve the mood symptoms and behavioural disturbance associated with BPD, although the numbers involved were small. 90-96 SSRIs have also been used to treat the emotional instability and dysphoria of BPD.
4.4.4 **Outcome**. The long-term outcome of BPD may not be as pessimistic as many psychiatrists believe. Whilst 3-9% of patients will have committed suicide at 10-25 year follow-up, 50-60% will have shown a clinical recovery. 21
4.5 Histrionic personality disorder
4.5.1 **Treatment**. Individuals with histrionic personality disorder will often present with depressive symptoms, and treatment with antidepressants and/or psychological approaches is necessary.
4.5.2 For the disorder itself, psychotherapy is probably the treatment of choice with the goals being the prevention of depressive episodes, and stability of mood.
4.5.3 **Outcome**. Like many of the personality disorders, histrionic personality disorder may become less problematic with advancing age, as the individual matures and learns more constructive coping behaviours. Many people with histrionic personality disorder will have depressive episodes, and self-harming behaviour is not uncommon.
\<page_number>15\</page_number> **4.6 Anankastic personality disorder**
**4.6.1 Treatment.** Those individuals who experience a high degree of anxiety as a result of doubt and indecision may respond to trials of antidepressants with serotonergic activity. The SSRIs and domperidone are the preferred drugs. Antidepressants should be considered where the individual has comorbid depressive disorder.
**4.6.2 Psychological treatment focuses on the cognitions associated with perceived failure – a cognitive behavioural approach would be the intervention of choice.**
**4.6.3 Outcome.** In most western societies conscientiousness and perfectionism are valued personality traits and individuals with this disorder may find occupational roles in which such traits offer an advantage. They may be able to sustain relationships in which their partner tends to be submissive.
**4.6.4 Due to their rigidity, they often have difficulty in adjusting to changes in circumstances, and depressive episodes are not uncommon in later life.**
\<page_number>16\</page_number> **5. Summary**
5.1. Personality disorders are a heterogeneous group of diagnoses which are united by the impact that a particular set of personality traits has upon an individual’s life. Prevalence rates for all personality disorders combined are approximately 10% in the general population but the rate increases among psychiatric inpatients and other populations.
5.2. The causes of each disorder are relatively poorly understood but, for a diagnosis to be made, the dysfunctional patterns of behaviour must be stable, present since late adolescence and not due to any other mental illness or disease. Personality disorders are likely to be caused by a combination of inherited vulnerability and early life experience. Whilst an individual may experience greater difficulties due to the disorder at times of stress, specific life events in adulthood are unlikely to have a role in the causation of the disorder.
5.3. Historically, it was believed that personality disorders would not respond well to treatment and that there was little to offer. However, there is some evidence that symptomatic improvements can be obtained from psychotherapy, although there is uncertainty as to which form of therapy is best and which group of patients will respond. Whatever the answer, for many individuals the improvements from treatment will be modest at best.
\<page_number>17\</page_number> 6. Related Synopses
Post-Traumatic Stress Disorder Adjustment Disorder Generalised Anxiety Disorder Alcohol Dependence/Alcohol Abuse Syndrome Bipolar Affective Disorder Obsessive Compulsive Disorder
\<page_number>18\</page_number> 7. Glossary
<table>
<tr>
<td>aetiology</td>
<td>The study of the causes, e.g. of a disorder.</td>
</tr>
<tr>
<td>anankastic</td>
<td>Compulsive nature.</td>
</tr>
<tr>
<td>antipsychotic</td>
<td>A medication (or another measure) that is believed to be effective in the treatment of psychosis.</td>
</tr>
<tr>
<td>anxiolytic</td>
<td>Anxiety-reducing. The term is used to describe a class of drugs which includes the benzodiazepines.</td>
</tr>
<tr>
<td>body dysmorphic disorder</td>
<td>A condition in which the individual is preoccupied with a perceived physical defect. This preoccupation becomes continuous and results in significant impairment in the individual’s life and social functioning, typically avoiding social contact. The individual may consult multiple doctors and surgeons, looking for surgical intervention.</td>
</tr>
<tr>
<td>clomipramine</td>
<td>A tricyclic antidepressant drug used to treat depression and obsessive-compulsive disorder (OCD).</td>
</tr>
<tr>
<td>comorbid</td>
<td>The presence of one or more disorders (or diseases) in addition to a primary disorder or disease.</td>
</tr>
<tr>
<td>cognition</td>
<td>The process of knowing and, more precisely, the process of being aware, knowing, thinking, learning and judging.</td>
</tr>
<tr>
<td>dopaminergic system</td>
<td>Relating to dopamine (a neurotransmitter).</td>
</tr>
<tr>
<td>dysphoria</td>
<td>Lowered mood, typically experienced as “unhappiness” but not of a severity which would be associated with depressive illness.</td>
</tr>
<tr>
<td>heterogeneous</td>
<td>Derived from a different source or species. Also called heterogenic.</td>
</tr>
<tr>
<td>hypoperfusion</td>
<td>Reduced perfusion, i.e. blood flow, and by inference, reduced activity.</td>
</tr>
<tr>
<td>neuroimaging</td>
<td>A range of methods, including magnetic resonance scanning (MRI), used to investigate and study the functioning of the central nervous system.</td>
</tr>
<tr>
<td>polymorphism</td>
<td>A variation in the DNA that is too common to be due merely to new mutation. A polymorphism must have a frequency of at least 1% in the population.</td>
</tr>
</table>
\<page_number>19\</page_number>
<table>
<tr>
<td>post-traumatic stress disorder (PTSD)</td>
<td>A common anxiety disorder that develops after exposure to a terrifying event or ordeal in which grave physical harm occurred or was threatened.</td>
</tr>
<tr>
<td>psychodynamic psychotherapy</td>
<td>A type of psychotherapy that draws on psychoanalytic theory to help people understand the roots of emotional distress, often by exploring unconscious motives, needs, and defences.</td>
</tr>
<tr>
<td>schizophrenia</td>
<td>One of several brain diseases with symptoms that may include psychosis, disturbance of behaviour, social withdrawal and impairment of normal functioning, and abnormal emotional responses. It may also include catatonia.</td>
</tr>
<tr>
<td>serotonergic</td>
<td>Relating to serotonin (a neurotransmitter also known as 5-HT).</td>
</tr>
<tr>
<td>SSRI</td>
<td>Abbreviation for selective serotonin reuptake inhibitors, commonly prescribed drugs for treating depression, OCD and anxiety disorders.</td>
</tr>
<tr>
<td>Tourette syndrome</td>
<td>Gilles de la Tourette syndrome/Tourette Syndrome is a neurological disorder characterised by persistent motor and/or vocal tics. It usually presents in childhood.</td>
</tr>
<tr>
<td>trait</td>
<td>In genetics, a trait refers to any genetically determined characteristic. In personality, it refers to a distinguishing characteristic. There is insufficient evidence to conclude that specific personality traits are genetically determined.</td>
</tr>
</table>
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48. Dolan B, Warren F, Norton K. Change in borderline symptoms one year after therapeutic community treatment for severe personality disorder. Br J Psychiatry 1997;171:274-9.
49. Zanarini MC, Frankenburg FR. Olanzapine treatment of female borderline personality disorder patients: a double-blind, placebo-controlled pilot study. J Clin Psychiatry 2001;62(11):849-54.
50. Zanarini MC, Frankenburg FR, Parachini EA. A preliminary, randomized trial of fluoxetine, olanzapine, and the olanzapine-fluoxetine combination in women with borderline personality disorder. J Clin Psychiatry 2004;65(7):903-7.
51. Stone MH. Long-term outcome in personality disorders. Br J Psychiatry 1993;162:299-313.
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Stephanie Tobyn Deputy Director, Railway Markets & Economics
<img>ORR OFFICE OF RAIL AND ROAD logo</img>
29 January 2019
Patrick Verwer Managing Director Govia Thameslink Railway Limited Monument Place 24 Monument Street London EC3R 8AJ
Dear Patrick
**Investigation findings of GTR Compliance with condition 4 of GB Statement of National Regulatory Provisions: Passenger (SNRP)**
1. I wrote to you on 3 October 2018 to advise that ORR is formally investigating GTR's management and handling of its passenger information obligations prior to and during the May 2018 timetable implementation and subsequent problems. This letter summarises our preliminary findings following our investigation, and gives GTR the opportunity to make any additional representations.
2. The purpose of our investigation was to establish if GTR did, or is doing, everything reasonably practicable to achieve compliance with its obligations set out in licence condition 4.
3. Thank you for GTR's co-operation and the information provided to ORR during the investigation. We have considered that information, including your responses, material provided to us in or following meetings and source information previously provided to us as part of the timetabie Inquiry.
4. In particular, our investigation has focused on GTR's provision of appropriate, accurate and timely information:
- to passengers and prospective passengers prior to the implementation of 20 May 2018 timetable; and
- to passengers during the subsequent disruption i.e. following the implementation of the 20 May 2018 timetable.
One Kemble Street, London WC2B 4AN T: 0207 282 2000 www Orr.gov.uk
\<page_number>1\</page_number> 5. We have also considered:
- the steps GTR has taken or is taking to address the issues, make improvements and recover;
- whether there are any systemic issues; and/or
- whether there are any mitigating factors which should be considered in this case.
6. Condition 4 of the Passenger Train Licence and the Statement of National Regulatory Provision (SNRP) provides that:
**Purpose**
1. The purpose is to secure the provision of appropriate, accurate and timely information to enable railway passengers and prospective passengers to plan and make their journeys with a reasonable degree of assurance, including when there is disruption
**General duty**
2. The SNRP holder [licence holder] shall achieve the purpose to the greatest extent reasonably practicable having regard to all relevant circumstances, including the funding available.
3. Based on the available evidence, our preliminary view is that, with particular reference to its provision of information to passengers during the subsequent disruption i.e. following the implementation of the 20 May 2018 timetable, that there is evidence to suggest GTR is in contravention of condition 4 of its passenger licence. In particular, that it failed to deliver to the greatest extent reasonably practicable, having regard to all relevant circumstances, including the funding available, its obligations to secure the provision of appropriate, accurate and timely information to enable railway passengers and prospective passengers to plan and make their journeys with a reasonable degree of assurance, including when there is disruption.
4. This view is subject to considering any further representations from GTR.
**Summary of ORR findings**
**GTR’s provision of appropriate, accurate and timely information to passengers and prospective passengers prior to the implementation of 20 May 2018 timetable.**
9. We consider that RailPlan2020 and the ‘time of every train will change’ campaign was successful in raising awareness amongst passengers and was markedly different from usual timetable change communications. Our Inquiry research found
One Kemble Street, London WC2B 4AN T: 0207 7282 2000 www.orr.gov.uk \<page_number>2\</page_number> that 75% of passengers were aware that the timetable was changing and the RailPlan2020 website attracted more than 800,000 hits.
10. However, the personal impact of the timetable change was not well understood by some passengers. Passengers who had familiarised themselves with RailPlan2020 were potentially unaware that some of the services would not be introduced until sometime after 20 May; almost three in five passengers believed the new timetable would be introduced in full.
11. On the last few days leading up to the transition weekend, passengers were advised again to recheck the website. Passengers who had heeded the earlier messages and already worked out their plans for the new timetable, were faced with uncertainty as fewer trains were running on some lines. The previously published timetables did not contain any messaging that suggested that the times shown would not be correct.
12. Nonetheless, we consider that GTR used the RailPlan2020 website, the ‘time of every train will change’ campaign and a wide variety of communication channels (e.g. social media, print media, station advertising, stakeholder briefings as well as paper timetables, leaflets and more attention-grabbing marketing) to proactively disseminate the clear message that something significant was going to happen on 20 May. Prospective passengers were made aware of the change, had access to the expected timetable and reasonable efforts were made to keep passengers up to date as late changes were made in the period leading up to the 20 May.
13. Based on the balance of the information assessed, we consider that GTR took reasonably practicable steps to provide appropriate, accurate and timely information to passengers prior to the timetable change on 20 May.
**GTR’s provision of appropriate, accurate and timely information to passengers during the subsequent disruption i.e. following the implementation of the 20 May 2018 timetable.**
14. We consider that the exceptional circumstances that followed the introduction of the 20 May timetable meant that providing perfect advance information for all services was, from the outset, an impossible task. Evidence demonstrates that GTR’s overarching focus throughout the period that followed 20 May was on providing as much capacity as it could to meet customer demand.
15. Our guidance to support compliance with condition 4 recognises that timetable services and providing information to passengers are difficult, complex tasks. There is a balance to be struck between service delivery and the ability to provide appropriate, accurate and timely information for passengers during sustained periods of disruption. The licence condition is not intended to undermine the primary objective of providing the best available service for passengers.
One Kemble Street, London WC2B 4AN T: 0207 7282 2000 www.orr.gov.uk
\<page_number>3\</page_number> 16. However, against this context we consider that there is evidence to suggest that GTR failed to achieve an appropriate balance between service recovery and the need for appropriate passenger information to an unacceptable extent and duration throughout the implementation of the service recovery plan.
17. In particular, we found the following failings:
**Passenger information strategy**
18. We consider that GTR took operational decisions with the best of intentions but with insufficient regard to the fact that passengers also needed basic journey information to fully benefit from the service recovery improvements the company was attempting to deliver. We found evidence of a lack of alignment between the operational decisions being implemented as part of the service recovery plan and other key functions that were concerned with the need to provide better passenger information.
19. Evidence demonstrates that the communication activities that did occur throughout Phase 1 and 2 of the service recovery plan did not deliver adequate passenger outcomes. From an early stage, information failures were widely recognised as being significant and occurring on a persistent basis.
20. We found insufficient evidence to demonstrate that the subsequent scale and extent of the information failure, which was apparent to frontline staff and was widely reported internally and overwhelmingly voiced by passengers, was adequately considered or acted upon throughout the weeks of disruption that followed 20 May.
21. We consider that too often there was a failure to give adequate regard to the fact that running a train service (or rail replacement bus) is only helpful to passengers if they know when and where the service will arrive, where it is going and how long the journey will take.
22. We therefore consider that GTR failed to implement an effective strategy to deliver passenger information that was sufficiently aligned to the steps that it was taking to recover the service and as a result did not optimise passenger information as best it could relative to the circumstances being faced.
**Provision of 'Alpha list' information**
23. One of the key methods used by GTR to achieve stability in its service recovery process was the reduction in train services that resulted from the use of the 'Alpha list'. This required the identification of specific train services that it was unable to run and which could be removed from the timetable. Evidence demonstrates that the Alpha list was used, but was not clearly communicated to passengers between 6 June and 25 June (at which point GTR made PDF timetables available with the Alpha trains removed).
24. The delay in sharing clear information regarding the cancelled Alpha trains meant that passengers were unable to identify trains that were never planned to run on a weekly
One Kemble Street, London WC2B 4AN T: 020 /7282 2000 www.orr.gov.uk \<page_number>4\</page_number> basis and ones that were removed on a daily basis. This is evidenced by consistent feedback from passengers regarding their frustration at having very little notice or certainty about which services would be running or cancelled for a prolonged period.
25. GTR wrote to us stating that while the Alpha 'list proved to be generally consistent throughout the period to the 25 June 2018, this was not known at the time, the list was not believed to be a static one and was being constantly reviewed and at times was altered to reflect daily operational circumstances'. However, we also found evidence from internal documentation¹ to indicate that the Alpha list was 'fixed', including a service recovery governance document that identified 326 trains as 'permanently removed' from the timetable from 11 June.
26. We therefore consider that GTR's failure to clearly communicate known cancellations in a timely manner undermined the ability of prospective passengers to plan ahead and make informed journey decisions. The Alpha list could have been published sooner than 25 June, which would have provided greater certainty to passengers about services which were not planned to run.
**Day to day amendments**
27. A related aspect of GTR's service recovery plan was that additional services were removed or cancelled on a day by day basis. This list of services was known as the Beta list. The Beta list trains were removed individually by GTR staff in its Three Bridges Control Centre on an overnight basis. This process led to very short notice changes to the timetable and a severe lack of certainty for passengers up until the point of travel. This is evidenced by GTR's advice to passengers to 'check as close to the time of travel as possible' or to 'check immediately before travel'. However, at times, trains in the process of being cancelled in systems were not removed until the train was due to have departed, leading to CIS screens showing 'delayed' for a period before the train was subsequently cancelled.
28. GTR persevered with this process throughout the period of service recovery, in effect accepting the ability to make overnight and very late notice changes despite the impact that this had on the provision of passenger information. Other day to day changes were utilised - for example reinstating Beta trains as crew and rolling stock became available - to increase capacity and thereby benefit passengers, but at times these changes were poorly executed resulting in what passengers referred to as 'ghost trains'.
29. Operational decisions taken and implemented to support the recovery process were to the detriment of providing passengers with appropriate, accurate and timely information to an unacceptable extent and duration. Deleting trains from the timetable rather than cancelling services in advance meant that services did not show as cancelled on journey planners or appear at all on CIS screens. Passengers were
______________________________________________________________________
¹ GTR submission to the investigation, 16 October 2018. Appendix 24 Short term timetable - Train Alterations Process and Appendix 26 - Current revised timetable arrangements V7
One Kemble Street, London WC2B 4AN T: 0207 282 2000 www.orr.gov.uk \<page_number>5\</page_number> uncertain what services would run each day; travelling on a particular train on one day was no guarantee that it would run or be shown on station screens on the next day. This added to the confusion for passengers who were still trying to come to terms with a timetable in which the time of every train had changed.
30. There is substantial evidence to demonstrate the dedication and commitment of GTR staff in managing significant operational issues in difficult circumstances. However, on a day by day basis these issues served to undermine the ability of frontline staff to have access to the information needed to assist passengers in making their journey.
31. We consider that the cumulative effect of the factors described here manifested in the unacceptable passenger outcomes described in our evidence report and in the numerous examples of passenger information failures.
**Conclusions**
32. In summary, our preliminary conclusions are that:
a. GTR failed to implement an effective strategy to deliver passenger information that was sufficiently aligned to the steps that it was taking to recover the service and as a result did not optimise passenger information as best it could relative to the circumstances being faced;
b. GTR’s failure to clearly communicate known cancellations in a timely manner undermined the ability of prospective passengers to plan ahead and make informed journey decisions; and
c. Operational decisions taken and implemented to support the recovery process were to the detriment of providing passengers with appropriate, accurate and timely information to an unacceptable extent and duration.
33. ORR is therefore of the preliminary view that there is a case to be made that GTR did not do everything reasonably practicable in the circumstances to comply with its obligations under condition 4 of its licence (or SNRP) (passenger information) following the timetable change on 20 May and until the interim timetable was introduced on 15 July.
34. In addition, whilst we appreciate the exceptional circumstances following the 20 May timetable, ORR is not sufficiently satisfied that, should similar circumstances happen again, the same failings would not recur. Further, it is not clear whether GTR is currently considering passenger information to a sufficient extent during times of planned changes (e.g. engineering work such as that on the Brighton mainline²), which may indicate a more systemic issue.
______________________________________________________________________
² For example, while the Brighton mainline closure from 16-24 February may have a profile due to NR communications, the detail such as no fast buses to Brighton or cuts to peak trains from Victoria on other routes away from the Brighton line has only just been communicated.
One Kemble Street, London WC2B 4AN T: 0207 282 2000 www Orr.gov.uk
\<page_number>6\</page_number> 35. We welcome GTR's comments on how it has learnt from the May 2018 timetable change and how it is now addressing its obligations in condition 4.
36. Accompanying this letter, we provide to GTR the extracts of our draft evidence report for factual accuracy checks only at this time.
**Next steps**
37. **We invite GTR to make any further representations and to demonstrate how it is currently complying with condition 4 by 5pm on Tuesday 12 February 2019.**
38. We will then consider what recommendations to make to our Board about whether or not GTR has contravened or is contravening its passenger SNRP, and if so, whether it is appropriate to take enforcement action, which could include imposing an order and/or a financial penalty.
39. We may use any further information you provide in our final evidence report, which we will send to you to check accuracy and publish once our investigation is over. We will publish this letter and your response on our website together with any final decisions on this case.
40. I am copying this letter to Polly Payne, Ruth Hannant and Tim Rees at the Department for Transport.
Yours sincerely
<signature>Stephanie Tobyn</signature>
Stephanie Tobyn Deputy Director, Railway Markets & Economics
One Kemble Street, London WC2B 4AN T: 020 7282 2000 www.orr.gov.uk
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Monthly Report: Surveillance Project SB4008 IFNg tests for bovine tuberculosis
(TC0651 and TC0751)
Number 163
Report Period 1st - 31st March 2020
Issued 16 April 2020 Operational notes on terminology, definitions, re-test and re-samples test outcomes:
- “Samples” refers to an individual tube of blood taken from an individual animal which is subsequently submitted for testing. It is generally assumed that the number of samples and the number of animals are analogous. Duplicate sample blood tube from the same animal will not be tested. However, minor discrepancies may occur where the same animal is tested more than once due to a request for a resample or the animal is tested twice under different categories (for example, as a PAR-RAPID and then as part of a PAR-HERD-S).
• “Submissions” refers to an individual batch or set of samples received for testing. Submissions may comprise 1 or more samples (for example, if an entire herd is being tested it is usually sent as 1 submission). It is generally assumed that the number of submissions and the number of herds are analogous.
• Retests are samples where the first ELISA assay fails and the same sample is retested on a new ELISA plate. Each sample can be retested only once. A retest is not a reportable test outcome.
• Resamples are where a sample has been retested and failed a second time, so that the lab requests a new sample. This is a reportable test outcome.
• Rejects are samples that are not tested by the lab for one of the following reasons: blood collected into wrong type of vacutainer, samples that have not been maintained at the appropriate temperature range (23±5°C), unlabelled or damaged/recked tubes, blood that is extensively clotted (small clots are OK), samples received after 4pm on the day after sample collection. Such samples are reported separately in the tables and in figure 5.
• POS (pokeweed mitogen) is a sample positive control reagent which provides a measure of the quality/viability of the blood sample. A POS fail (\<0.45 optical density reading) may indicate compromised blood quality as a result of collection/transportation conditions or due the animal having an unusually low/suppressed cellular immune response.
• NEG (no-antigen control) is a sample negative control which provides a measure of the background antigen-independent IFN- responses. A NEG fail (>0.3 optical density reading) may indicate a laboratory procedures problem (normally resolved during re-test) or that an animal has unusually high background levels of IFN-g. Test Criteria
| Submission Reason | Explanation | Mandatory? | |---|---|---| | Possible Herd Slaughter (PAR-HERD-S) | Parallel interferon-gamma blood testing of skin test negative cattle to inform whole or partial herd slaughters decisions | YES, if APHA are contemplating a herd slaughter | | Persistent TB breakdowns (OTF status withdrawn) (PAR-P-CONF) N.B. PAR-FERSIS from 1st Apr 2017 | Parallel blood testing of skin test-negative cattle persistently infected herds that have failed to resolve by repeated short-interval skin testing and fulfil a minimum of biosecurity standards. | NO (APHA discretion) | | Parallel - Low Incidence (PAR-LOW-IN) N.B. PAR-NEW-IN from 1st April 2017 | Parallel blood testing to maximise the probability of removing all infected cattle in a new herd breakdown as soon as possible after confirmation of TB. | YES in Area of Low Incidence | | Rapid Testing of twice IR's (PAR-RAPID) | Parallel blood testing of two-times IRs identified under the severe interpretation of the skin test used in Wales. | YES (Wales only) | | PAR-CUL-N | Parallel blood testing to maximise the probability of removing all infected cattle in a new breakdown as soon as possible after confirmation of TB where herd is situated in badger control areas of England that have completed at least 2 effective culls | YES (in eligible badger control areas of England) | | PAR-CUL-P | Parallel blood testing to maximise the probability of removing all infected cattle in a previous confirmed breakdown where herd is situated within badger control areas of England that have completed at least 2 effective culls | NO (APHA discretion) | | Parallel Other (PAR-OTHER) | Other parallel blood testing not covered in any of the other scenarios | NO (APHA discretion) | | 'NSR' Herds (SER-NSR) | Modified serial blood testing of individual skin test reactors and/or IRs in unconfirmed TB incidents where there is evidence of non-specific sensitisation to bovine tuberculin (the "non-specific reactor" procedure) | NO (APHA discretion) | | Suspected Fraud (SER-FRAUD) | Modified serial blood test of suspected fraudulent reactors to the skin test (animals with abnormal skin swellings), in confirmed or unconfirmed TB incidents. | NO (APHA discretion to firm up or rule out any fraud and support any investigations) | | Serial Other (SER-OTHER) | Serial test – other reasons | NO (APHA Discretion) | | SER-FLEXI | Extended blood test to provide flexible test readout in a confirmed M. bovis-infected herd where Johne's (M. a. paratuberculosis) infection or vaccination is suspected to be interfering with M. bovis infection detection | NO (APHA discretion)
<table>
<tr>
<td colspan="3">Table 1. Monthly Totals for March 2020</td>
</tr>
<tr>
<td></td>
<td>Num Samples March 2020</td>
<td>% Total 2020</td>
<td>%</td>
</tr>
<tr>
<td>Submissions</td>
<td>262</td>
<td>928</td>
<td></td>
</tr>
<tr>
<td>Samples</td>
<td>Total (%)</td>
<td>18221 100.00 %</td>
<td>82641 100.00 %</td>
</tr>
<tr>
<td></td>
<td>England</td>
<td>14090 77.33 %</td>
<td>65835 79.66 %</td>
</tr>
<tr>
<td></td>
<td>Wales</td>
<td>3363 18.46 %</td>
<td>14806 17.67 %</td>
</tr>
<tr>
<td></td>
<td>Scotland</td>
<td>768 4.21 %</td>
<td>2200 2.66 %</td>
</tr>
<tr>
<td>Parallel Tests</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td><td>PAR-CUL-N</td><td>6295 34.55 %</td><td>27583 33.38 %</td>
</tr>
<tr>
<td></td><td>PAR-CUL-P</td><td>842 4.62 %</td><td>3915 4.74 %</td>
</tr>
<tr>
<td></td><td>PAR-HERD-S</td><td>53 0.29 %</td><td>279 0.34 %</td>
</tr>
<tr>
<td></td><td>PAR-NEW-IN</td><td>9083 49.85 %</td><td>36750 44.47 %</td>
</tr>
<tr>
<td></td><td>PAR-OTHER</td><td>74 0.41 %</td><td>911 1.10 %</td>
</tr>
<tr>
<td></td><td>PAR-PERSIS</td><td>1539 8.45 %</td><td>11047 13.37 %</td>
</tr>
<tr>
<td></td><td>PAR-RAPID</td><td>134 0.74 %</td><td>299 0.36 %</td>
</tr>
<tr>
<th colspan="2">Total(%) of all samples)</th><th>18020<br>98.90 %</th><th>80784<br>97.75 %</th>
</tr>
<tr>
<th>Serial/Extended Tests</th><th></th><th></th><th></th>
</tr>
<tr>
<th></th><th>SER-FLEXI</th><th>201<br>1.10 %</th><th>1857<br>2.25 %</th>
</tr>
<tr>
<th></th><th>SER-FAUD</th><th>0<br>0.00 %</th><th></th>
</tr>
<tr>
<th></th><th>SER-NSR</th><th>0<br>0.00 %</th><th></th>
</tr>
<tr>
<th colspan="2">Total(%) of all samples)</th><th>201<br>1.10 %</th><th>1857<br>2.25 %</th>
</tr>
<tr>
<th>Total</th><th></th><th>18221<br>100.00 %</th><th>82641<br>100.00 %</th>
</tr>
<tr>
<td>Retests Total (of all samples)</th><th></th><th></th><th></th>
<tr>
<td>Total (of all samples)</th><th></th><th></th><th></th>
<tr>
<td>Total (of all samples)</th><th></th><th></th><th></th>
<tr>
<td>Total (of all samples)</th><th></th><th></th><th></th>
<tr>
<td>Total (of all samples)</th><th></th><th></th><th></th>
<tr>
<td>Total (of all samples)</th><th></th><th></th><th></th>
<tr>
<td>Total (of all samples)</th><th></th><th></th><th></oth
<tr>
<td>Total (of all samples)</th><thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong> </thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong> </strong> <strong>&nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &nhad; &ndhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan="3"><<strong>Total (of all samples)</strong>&nbdhod.</thalid="total-of-all-samples" colspan "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colspan= "colsp
Figure 1. Number of samples submitted in each category during March 2020
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>PAR-CUL-N</td>
<td>6295</td>
<td>34.5 %</td>
</tr>
<tr>
<td>PAR-CUL-P</td>
<td>842</td>
<td>4.6 %</td>
</tr>
<tr>
<td>PAR-HERD-S</td>
<td>53</td>
<td>0.3 %</td>
</tr>
<tr>
<td>PAR-NEW-IN</td>
<td>9083</td>
<td>49.8 %</td>
</tr>
<tr>
<td>PAR-OTHER</td>
<td>74</td>
<td>0.4 %</td>
</tr>
<tr>
<td>PAR-PERSIS</td>
<td>1539</td>
<td>8.4 %</td>
</tr>
<tr>
<td>PAR-RAPID</td>
<td>134</td>
<td>0.7 %</td>
</tr>
<tr>
<td>SER-FLEXI</td>
<td>201</td>
<td>1.1 %</td>
</tr>
<tr>
<td>Total</td>
<td>18221</td>
<td>100.00 %</td>
</tr>
</tbody>
</table>
Breakdown of Reason for submission
<img>A pie chart showing the breakdown of samples by reason for submission. The largest slice is PAR-CUL-N at 34.5%. Next is PAR-CUL-P at 4.6%. Then PAR-HERD-S at 0.3%. Following that is PAR-NEW-IN at 49.8%. PAR-OTHER is 0.4%. PAR-PERSIS is 8.4%. PAR-RAPID is 0.7%. SER-FLEXI is 1.1%. The total is 100.00%.</img>
PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 2017): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-Low-Infection): low infection rate in confirmed herds with concurrent Johnne's infection/vaccination, PAR-CUL-N: cull area, PAR-CUL-P: persistent infection in cull area, PAR-OTHER: parallel other, SER-FLEXI: flexible extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FRAUD: serial potential fraud, SER-OTHER: serial other Figure 2. Number of samples submitted in each category by County during March 2020
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
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<td></td>
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<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Berks</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">500</td>
<td style="color: #808080;">5136</td>
<td style="color: #FFA5E3;">1764</td>
<td style="color: #FFA5E3;">1764</td>
<td style="color: #FFA5E3;">1764</td>
<td style="color: #FFA5E3;">1764</td>
<td style="color: #FFA5E3;">1764</td><br/>
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<div id='legend'>
<p>Breakdown of Samples submitted by County</p><div class='legend'>
<ul><li>SER-FLEXI (white)</li><li>PAR-RAPID (pink)</li><li>PAR-PERSIS (yellow)</li><li>PAR-OTHER (blue)</li><li>PAR-NEW-IN (light blue)</li><li>PAR-HERD-S (green)</li><li>PAR-CUL-P (red)</li><li>PAR-CUL-N (blue)</li></ul><div class='legend__item legend__item--active' style='background-color:#FEBB9C;'>SER-FLEXI (white)</div><div class='legend__item legend__item--active' style='background-color:#FFA5E3;'>PAR-RAPID (pink)</div><div class='legend__item legend__item--active' style='background-color:#FFFFCC;'>PAR-PERSIS (yellow)</div><div class='legend__item legend__item--active' style='background-color:#FEBB9C;'>PAR-OTHER (blue)</div><div class='legend__item legend__item--active' style='background-color:#FEBB9C;'>PAR-NEW-IN (light blue)</div><div class='legend__item legend__item--active' style='background-color:#FEBB9C;'>PAR-HERD-S (green)</div><div class='legend__item legend__item--active' style='background-color:#FEBB9C;'>PAR-CUL-P (red)</div><div class='legend__item legend__item--active' style='background-color:#FEBB9C;'>PAR-CUL-N (blue)</div></div><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 2017): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 2017): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexi extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FAUD: serial faud test from SER-OTHERS:</p><p>Legend for Figure 2.</p><p>PAR-HERD-S: potential herd slaughter, PAR-P-CONF (PAR-PERSIS from 1 April 217): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 217): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-P: persistent infection in cul area, PAR-OTHER:
<img>A bar chart showing the number of samples submitted by county during March 2o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks (Berks), Bucks (Bucks), Cheshire & Scilly (Cheshire & Scilly), Derbyshire & Dorset & Devon & Dorset & Gloucestershire & Gloucestershire & Hampshire & Humber & Leics & Rut & Lincs & Norfolk & N Yorks & Oxon & Shropshire & Somerset excl N & Staffs & Surrey & Warks & Westmorland & Cumbria & Gwent & Glamorgan & Argyl & Butte & Berwickshire & Dumfries & G & Scotland). The bars represent the number of samples submitted by each county. The bars are color-coded according to the legend on the right side of the chart. The legend includes four colors representing different categories of samples submitted by county. The first category is represented by white squares labeled "SER-FLEXI". The second category is represented by pink squares labeled "PAR-RAPID". The third category is represented by yellow squares labeled "PAR-PERSIS". The fourth category is represented by blue squares labeled "PAR-OThEr". The fifth category is represented by light blue squares labeled "PAR-New-In". The sixth category is represented by green squares labeled "Par-Herd-S". The seventh category is represented by red squares labeled "Par-CulP". The eighth category is represented by blue squares labeled "Par-CulN". The chart shows that the number of samples submitted by each county varies significantly. For example, the number of samples submitted by Berks is approximately 5 times the number of samples submitted by Cheshire & Scilly. Similarly, the number of samples submitted by Somerset excl N is approximately double the number of samples submitted by Staffs. The number of samples submitted by Warks is approximately half the number of samples submitted by Westmorland. The number of samples submitted by Cumbria is approximately one-third the number of samples submitted by Gwent. The number of samples submitted by Glamorgan is approximately one-fifth the number of samples submitted by Argyl & Butte. The number of samples submitted by Berwickshire is approximately one-sixth the number of samples submitted by Dumfries & G. The number of samples submitted by Scotland is approximately one-eighth the number of samples submitted by Dumfries & G. Overall, the chart shows that the number of samples submitted by each county varies significantly.
The chart shows that the number of samples submitted by each county varies significantly. For example,
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks (Berks), Bucks (Bucks), Cheshire & Scilly (Cheshire & Scilly), Derbyshire & Dorset & Devon & Dorset & Gloucestershire & Gloucestershire & Hampshire & Humber & Leics & Rut & Lincs & Norfolk & N Yorks & Oxon & Shropshire & Somerset excl N & Staffs & Surrey & Warks & Westmorland & Cumbria & Gwent & Glamorgan & Argyl & Butte & Berwickshire & Dumfries &
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks (Berks), Bucks (Bucks), Cheshire &
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties. The counties are Berks
<img>A bar chart showing the number of samples submitted by county during March o2o. The x-axis represents the number of samples ranging from 5 to 25. The y-axis represents the counties.
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Figure 3. Number of samples submitted in each category by County during 2020
<table>
<thead>
<tr>
<td></td>
<td>Berks</td>
<td>Bucks</td>
<td>Corn & Sussex</td>
<td>Dorset</td>
<td>Devon</td>
<td>Dorset</td>
<td>Gloucestershire</td>
<td>Glos</td>
<td>Hampshire</td>
<td>Herts</td>
<td>Humber</td>
<td>Leics & Rut</td>
<td>Lincs</td>
<td>Norfolk</td>
<td>Northants</td>
<td>Notts</td>
<td>N Yorks</td>
<td>Oxon</td>
<td>Shropshire</td>
<td>Somerset excl N</td>
<td>Staffs</td>
<td>Surrey</td>
<td>Warks</td>
<td>Wiltshire</td>
<td>Carmarthen</td>
<td>Ceredigion</td>
<td>Gwent</td>
<td>Gwynedd</td>
<td>NE Wales</td>
<td>Pembrokeshire</td>
<td>Powys</td>
<td>S Glamorgan</td>
<td>S Wales</td>
<td>Wales</td>
<td>Argyll & Bute</td>
<td>Ayrshire</td>
<td>Berkshire</td>
<td>Berwickshire</td>
<td>Dumfries & Galloway</td>
<td>Kirkcudbright</td>
<td>Midlothian</td>
<td>Midlothian</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td>
<td>Middlesex</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></tr></table>
Breakdown of Samples submitted by County
PAR-HERD-S: potential herd slaughter. PAR-P-CONF (PAR-PERSIS from 1 April 2017): persistent TB breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 2017): parallel low incidence. PAR-RAPID: rapid testing of twice IRs. PAR-CUL-N: new infection in cul area, PAR-CUL-P: parallel other than cul area, PAR-OTHER: parallel other than cul area, flexible extension to other areas, PAR-FRAUD: serial non-specific reactor, SER-FRAUD: serial fraud, SER-OTHER: serial other.
John's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FRAUD: serial fraud, SER-OTHER: serial other
<img>A bar chart showing the number of samples submitted in each category by County during 2020.</img>
| County | Number of Samples | |---|---| | Berks | 5 | | Bucks | 6 | | Cheshire | 18 | | Corn & Sussex | 14 | | Cumbria | 13 | | Derbyshire | 12 | | Devon | 11 | | Dorset | 10 | | E Sussex | 9 | | Gloucestershire | 9 | | Gr Manchester | 8 | | Hampshire | 8 | | Herefordshire | 8 | | Humber | 7 | | Leicestershire & Rutland | 7 | | Lincolnshire | 7 | | Norfolk | 7 | | Northants | 7 | | Notts | 7 | | N Yorks | 7 | | Oxfordshire | 6 | | Shropshire | 6 | | Somerset excl N | 6 | | Staffs | 6 | | Surrey | 6 | | Warks | 6 | | Wiltshire | 5 | | Carmarthen | 5 | | Ceredigion | 5 | | Gwent | 5 | | Gwynedd | 5 | | NE Wales | 5 | | Pembrokeshire | 5 | | Powys | 5 | | S Glamorgan | 5 | | S Wales | 5 | | Wales | 5 |
Legend: ☐ SER-FLEXI ▁ PAR-RAPID ▁ PAR-PERSIS ▁ PAR-OTHER ▁ PAR-NEW-IN ▁ PAR-HERD-S ▁ PAR-CUL-P ▁ PAR-CUL-N
X-axis labels: 2000 - 4000 - 6000 - 8000 - 10000 - 12000 - Table 2a. Summary by County for March 2020
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons*</th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Rates†</th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td>England - HRA</td>
<td>Corn & Scilly</td>
<td>PAR-CUL-N<br>PAR-PERSIS<br>PAR-CUL-P<br>PAR-PERSIS</td>
<td>11<br>2<br>807<br>1</td>
<td>1,277<br>43.43<br>16<br>807<br>80.04 %<br>56<br>1,163<br>56.50 %<br>16<br>1,163<br>10.97 %<br>41<br>5,098 %<br>34<br>4,211 %<br>4<br>5,000 %<br>0.00 %<br>4<br>5,000 %<br>0.00 %<br>4<br>5,000 %<br>0.00 %</td>
<td><u>3</u><br><u>3</u><br><u>3</u><br><u>3</u></td>
<td><u>37.50 %<br>37.50 %<br>37.50 %<br>37.50 %</u></td>
<td><u>88</u><br><u>88</u><br><u>88</u><br><u>88</u></td>
<td><u>6.89 %<br>6.89 %<br>6.89 %<br>6.89 %</u></td>
<td><u>56</u><br><u>56</u><br><u>56</u><br><u>56</u></td>
<td><u>4.39 %<br>4.39 %<br>4.39 %<br>4.39 %</u></td>
<td><u>0.09 %<br>0.09 %<br>0.09 %<br>0.09 %</u></td>
</tr>
<tr>
<td></td>
<td></td>
<td>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>PAR-PERSIS</td>
<td><u>17</u><br><u>1,832</u><br><u>1,832</u><br><u>1,832</u></td>
<td><u>10.95 %<br>10.95 %<br>10.95 %<br>10.95 %</u></td>
<td><u>562 </u><br><u>562 </u><br><u>562 </u><br><u>562 </u></td>
<td><u>90.23 %<br>90.23 %<br>90.23 %<br>90.23 %</u></td>
<td><u>103 </u><br><u>103 </u><br><u>103 </u><br><u>103 </u></td>
<td><u>5.62 %<br>5.62 %<br>5.62 %<br>5.62 %</u></td>
<td><u>76 </u><br><u>76 </u><br><u>76 </u><br><u>76 </u></td>
<td><u>4.15 %<br>4.15 %<br>4.15 %<br>4.15 %</u></td>
<td><u>- 0.09 %<br>- 0.09 %<br>- 0.09 %<br>- 0.09 %</u></td>
</tr>
<tr>
<td></td>
<td>Dorset</td>
<td>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>PAR-PERSIS</td>
<td><b colspan="2">4<br>barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
<td>barely visible line on test strip (be met)</td>
</tr>
<tr>
<td></td>
<td>Dorset<br>Gloucestershire<br>Sussexshire<br>Somerset excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N<br>Sussexshire excl N...</td>
<td>PAR-NEW-IN<br>PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...PAR-CUL-N...</td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
<td>barely visible line on test strip (be met) <b colspan="2">barely visible line on test strip (be met)</b></td>
</tr>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">* Sufficient plasma supernatant is coated and stored following the overnight culture stage of the assay such that the sample fails any of the QC criteria, it is re-tested with a parallel low incidence PAR-RAPID: rapid testing of twice IRs; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal;</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">† Rates calculated as n / n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n + n.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">‡ The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">§ Sufficient plasma supernatant is coated and stored following the overnight culture stage of the assay such that the sample fails any of the QC criteria, it is re-tested with a parallel low incidence PAR-RAPID: rapid testing of twice IRs; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal; PAR-NEW-IN: new infection in culled animal;</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">¶ The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">*** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">**** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">***** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">****** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">******* The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">******** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">********* The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">********** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">*********** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">************ The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align: center;">************* The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color: #f2f2f2;">
<th colspan="12" style="text-align:center;">************** The total number of samples tested was 4,777, including all samples that were positive and rejected samples only.</th>
<tr style="background-color:#eaeaea;">
<th colspan='13' align='center'>** Potential herd slaughter:** Potential herd slaughter is defined as a sample failing any one of the QC criteria during the outcome of a repeat test or a negative result will be reported.
Therefore, the total number of samples tested is equal to the sum of the number of potential herd slaughter cases plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number of resamples plus the number of rejects plus the number
Table 2a. Summary by County for March 2020 Cont.
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons*</th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Retest*</th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td></td>
<td>Warks</td>
<td>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN</td>
<td>719</td>
<td>3.95 %<br>0.16 %<br>0.85 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.00 %<br>0.16 %<br>27</td>
<td><strong>681</strong></td>
<td><strong>94.71 %</strong><br><strong>93.10 %</strong></td>
<td><strong>24</strong></td>
<td><strong>3.34 %</strong><br><strong>6.96 %</strong></td>
<td><strong>17</strong></td>
<td><strong>2.36 %</strong><br><strong>6.96 %</strong></td>
<td><strong>3</strong></td>
<td><strong>1.82 %</strong></td>
</tr>
<tr>
<td></td>
<td>LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England - LRA - England</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr>
<tr
<table border="1">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th colspan="13">PAR-HERD-S: potential herd slaughter, PAR-P-COIN (PAR-PERSIS from 1 April 2017): persistent TB breakdown OTWT, PAR-LOW-N (PAR-PERSIS from 1 April 2017): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CULN: new infection in culled, PAR-CULP: persistent infection in culled, PAR-OHER: parallel, SER-FLEXI: flexible extended test in confirmed herds with concurrent John's infection/vaccination, SER-NRSR: serial non-specific reactor, SER-FRUD: serial positive fraud, SER-OOTHER: serial other
</tr>
</thead>
<tbody style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th style="text-align:left;">Country</th><th style="text-align:left;">County</th><th style="text-align:left;">Submission Reasons*</th><th style="text-align:left;">No. subs</th><th style="text-align:left;">Samples</th><th style="text-align:left;">Gamma Positive</th><th style="text-align:left;">Gamma Negatives</th><th style="text-align:left;">Retest*</th><th style="text-align:left;">Resample</th><th style="text-align:left;">Reject</th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><th style="text-align:left;"></th><tr class='header_bottom_margin'>
<tr id='__annotation__rowinterval_1' class='annotation_item'>
<td colspan='13'> </td></tr>'
</tbody>'
</table>'
</thead>'
<tbody>'
<tr>'
<td>'Wales High TB'</td>'
<td>'Carnis'</td>'
<td>'PAR-HERD-S'</td>'
<td>'1'</td>'
<td>'6'</td>'
<td>'6.84%</td>'
<td>'6'</td>'
<td>'65%'</td>'
<td>'1'</td>'
<td>'16%'</td>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>'
<tr>"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
"
"PAR-HERD-S"
Table 2a. Summary by County for March 2020 Cont.
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons*</th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Retest*</th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td></td>
<td>W Glamorgan</td>
<td>PAR-PERSIS</td>
<td>1</td>
<td>2 0.01 %</td>
<td>0</td>
<td>0.00 %</td>
<td>2 100.00 %</td>
<td>1 50.00 %</td>
<td>0 0.00 %</td>
<td>1 0.00 %</td>
</tr>
<tr>
<td></td>
<td>SER-FLEXI</td>
<td></td>
<td>1</td>
<td>9 0.05 %</td>
<td>1 11.11 %</td>
<td>8 88.89 %</td>
<td>0 0.00 %</td>
<td>0 0.00 %</td>
<td>0 0.00 %</td>
</tr>
<tr>
<td></td>
<td>Wales - Intermediate TB</td>
<td>Carma</td>
<td>PAR-HERD-S</td>
<td>3</td>
<td>30 16.7 %</td>
<td>5 16.67 %</td>
<td>24 80.00 %</td>
<td>3 100.0 %</td>
<td>1 33.33 %</td>
<td>1 0.09 %</td>
</tr>
<tr>
<td></td>
<td></td>
<td>PAR-RAPID</td>
<td>1</td>
<td>1 0.01 %</td>
<td>1 100.00 %</td>
<td>0 0.00 %</td>
<td>0 0.09 %</td>
<td>0 0.09 %</td>
<td>0 0.09 %</td>
</tr>
<tr>
<td></td>
<td>Cerebiong</td>
<td>SER-FLEXI</td>
<td>1</td>
<td>2 0.01 %</td>
<td>1 50.00 %</td>
<td>1 50.00 %</td>
<td>0 0.99 %</td>
<td>0 0.99 %</td>
<td>1 5.56 %</td>
</tr>
<tr>
<td></td>
<td>NE Wales</td>
<td>PAR-NEW-IN</td>
<td>8</td>
<td>3,139 72.44 %<br/>3,256<br/>1,175<br/>89.88 %<br/>8,877<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/>8,424<br/></td><td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></td><td><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></td><td><br/></tbody></table>
<table border="1">
<thead border="1">
<tr border="1">
<th rowspan="3">County - Wales - Low TB - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talbot - Neath Port Talot...</th border="1">
<th colspan="3" style="text-align:center;">Total Number of Samples (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Positive Samples (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Negative Samples (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Resample (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Retest (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Positive (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negatives (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Resample (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Retest (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Resample Retest (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Retest Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Resample Retest Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Retest Reject Retest (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Resample Retest Reject Retest (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Retest Reject Retest Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Resample Retest Reject Retest Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Retest Reject Retest Reject Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Resample Retest Reject Retest Reject Reject (n)</th border="1">
<th colspan="3" style="text-align:center;">Number of Gamma Negative Retest Reject Retest Reject Reject Reject (n)</th border=""><tbody border="">
<tr border="">
<th rowspan="" style="">Neath & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent & Blaenau Gwent &</tbody></table>
<table border='1'>
<thead border=''>
<tr border=''>
<th rowspan=''>County' <span style='font-size:smaller;'>*For test criteria please refer to Operational notes.</span></th border=''>
<th rowspan=''>County'</th border=''>
<th rowspan=''>Submission Reasons*</th border=''>
<th rowspan=''>No. subs'</th border=''>
<th rowspan=''>Samples'</th border=''>
<th rowspan=''>Gamma Positive'</th border=''>
<th rowspan=''>Gamma Negatives'</th border=''>
<th rowspan=''>Retest*</th border=''>
<th rowspan=''>Resample'</th border=''>
<th rowspan=''>Reject'</th border=''>
<th rowspan=''>Total Number of Samples (n)</th border=''>
<th rowspan=''>Number of Positive Samples (n)</th border=''>
<th rowspan=''>Number of Negative Samples (n)</th border=''>
<th rowspan=''>Number of Resample (n)</th border=''>
<th rowspan=''>Number of Reject (n)</th border=''>
<th rowspan=''>Number of Retest (n)</th border=''>
<th rowspan=''>Number of Gamma Positive (n)</th border=''>
<th rowspan=''>Number of Gamma Negatives (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Resample (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Retest (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Resample Retest (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Retest Reject (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Resample Retest Reject (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Retest Reject Retest (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Resample Retest Reject Retest (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Retest Reject Retest Reject (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Resample Retest Reject Retest Reject (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Retest Reject Retest Reject Reject (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Resample Retest Reject Retest Reject Reject (n)</th border=''>
<th rowspan=''>Number of Gamma Negative Retest Reject Retest Reject Reject Reject (n)</th border=""><tbodyborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
<trborder="">
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<trborder="">
<trborder="">
<trborder="">Scotland' <span style='font-size:smaller;'>*For test criteria please refer to Operational notes.</span></tbody=""></table>
<table cellspacing= 'none' cellpadding= 'none' width= 'auto' height= 'auto' align= 'center' valign= 'top' >
<thead cellspacing= 'none' cellpadding= 'none' width= 'auto' height= 'auto' align= 'center' valign= 'top' >
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</tbody></table>
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead>
```
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</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead>
```
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</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead>
```
<tr>
<thead>
<tr>
<thead>
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
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```
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```
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<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
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```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
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```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none" width = "auto" height = "auto" align = "center" valign = "top">
<thead
```
</tbody></table
```
<table cellspacing = "none" cellpadding = "none"
Table 2b. Summary by County for 2020
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons<sup>*</sup></th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negative</th>
<th>Retest<sup>*</sup></th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>m</td>
<td>% of total</td>
<td>m %</td>
<td>m %</td>
<td>m %</td>
<td>m %</td>
<td>m %</td>
</tr>
<tr>
<td>England - HRA</td>
<td>Com & Scilly</td>
<td>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>SER-FLEXI<br>SER-NEW-IN<br>SER-FLEXI<br>Gloius<br>Heref<br>PAR-NEW-IN<br>PAR-PERSIS<br>Sirupshire<br>PAR-CUL-N<br>PAR-PERSIS<br>SER-FLEXI<br>Somerset excl N<br>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>PAR-CUL-N<br>PAR-CUL-P<br>PAR-PERSIS<br>SER-FLEXI<br>Staffs<br>Wiltshire</td>
<td>28 4,174 4,175 3,249 10,286 72 92 1,161 1,162 1,163 1,164 1,165 1,166 1,167 1,168 1,169 1,170 1,171 1,172 1,173 1,174 1,175 1,176 1,177 1,178 1,179 20 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 37 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409</td>
<td>5.0 %<br>3.4 %<br>3.9 %<br>12.4 %<br>0.88 %<br>0.06 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>0.05 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br>3.9 %<br><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i></u><u><i><b></b></i/></td>
<td rowspan="8">m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mm mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:mm:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:8:</td>
<td rowspan="7">m% <table border="1">
<tbody>
<tr>
<td colspan="4"></td>
</tr>
<tr>
<td colspan="4">m% <table border="1">
<tbody>
<tr>
<td colspan="4" style="text-align:center;">m%</td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
<tr>
<td colspan="4" style="text-align:center;"></td>
</tr>
````
```json
[
{
"country": "England - HRA",
"county": "Com & Scilly",
"submission_reasons": [
"PAR-CUL-N",
"PAR-CUL-P",
"PAR-PERSIS",
"PAR-CUL-N",
"PAR-CUL-P",
"PAR-PERSIS",
"PAR-CUL-N",
"PAR-CUL-P",
"PAR-PERSIS",
"SER-FLEXI",
"SER-NEW-IN",
"SER-FLEXI",
"Gloius",
"Heref",
"PAR-NEW-IN",
"PAR-PERSIS",
"Sirupshire",
"PAR-CUL-N",
"PAR-PERSIS",
"SER-FLEXI",
"Somerset excl N",
"PAR-CUL-N",
"PAR-CUL-P",
"PAR-PERSIS",
"PAR-CUL-N",
"PAR-CUL-P",
"PAR-PERSIS",
"SER-FLEXI"
],
"samples": [
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""},
{"sample_id": "", "sample_count": ""}
]
},
{
// Additional entries...
}
]
````
Table 2b. Summary by County for 2020 Cont.
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons<sup>*</sup></th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Refeat<sup>†</sup></th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td>England - Edge</td>
<td>Berks</td>
<td>PAR-NEW-IN</td>
<td>11</td>
<td>889</td>
<td>1.08 %</td>
<td>15</td>
<td>1.69 %</td>
<td>814</td>
<td>91.56 %</td>
<td>78</td>
<td>8.77 %</td>
<td>60</td>
<td>6.75 %</td>
<td>0</td>
<td>0.00 %</td>
</tr>
<tr>
<td></td>
<td>Bucks</td>
<td>PAR-NEW-IN</td>
<td>8</td>
<td>946</td>
<td>1.14 %</td>
<td>53</td>
<td>5.60 %</td>
<td>814</td>
<td>86.05 %</td>
<td>95</td>
<td>10.04 %</td>
<td>79</td>
<td>8.35 %</td>
<td>0</td>
<td>0.00 %</td>
</tr>
<tr>
<td></td>
<td>Cheeshire</td>
<td>PAR-CUL-IN</td>
<td>2</td>
<td>516</td>
<td>0.01 %</td>
<td>116%</td>
<td>42</td>
<td>82.35 %</td>
<td>10</td>
<td>19.61 %</td>
<td>8</td>
<td>15.69 %</td>
<td>0</td>
<td>0.00 %</td>
</tr>
<tr>
<td></td>
<td>Derbyshire</td>
<td>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-CUL-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>Norfolk<br>Norfolk<br>Oxon<br>Oxon<br>Middlesex<br>Middlesex<br>Lancashire<br>Lancashire<br>Cumbria<br>Cumbria<br>Gl Manchester<br>Humber<br>Humber<br>Lincolnshire<br>Lincolnshire<br>Norfolk<br>Norfolk<br>Newcastle upon Tyne<br>Newcastle upon Tyne<br>Surrey<br>Surrey<br>Aberdeen<br>Aberdeen<br>Ceredigion<br>Ceredigion<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen<br>Aberdeen...<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table style="width: 100%;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th colspan="3">PAR-HERD-S: potential herd slaughter, PAR-P-CONF: (PAR-PERFIS from 1 April 2017) persistent TR breakdown OTWR, PAR-LOW-IN (PAR-NEW-IN from 1 April 2017): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in colostrum, PAR-CUL-P: persistent infection in colu lar, PAR-OtHER: parallel other, SER-FLEXI: flexible extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactor, SER-FRAUD: serial false positive, SER-OtHER: serial other.</th></tr></table>
<table style="width: 100%;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th colspan="3">Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is placed on repeat testing to determine the cause of failure. Depending on the outcome of a repeat, a negative result will be reported if a QC criteria fail to be met, a positive or a negative result will be reported. Therefore, the total number of samples tested may exceed the number of samples reported.</th></tr></table>
<table style="width: 100%;">
<thead style="background-color: #f2f2f2;">
<tr style="text-align: center;">
<th colspan="3">Wales - High T8 Carms PAR-HERD-S 4 207 0.25 % PAR-NEW-IN 1 8 0.25 % PAR-P-CONF 21 468 7.77% PAR-CUL-N 3 429 0.52% PAR-CUL-P 19 86 0.10% PAR-OtHER 27 439 0.53% PAR-FLEXI 2 27 0.03% PAR-RAPID 1 98 0.10% Ceredigion PAR-HERD-S 1 4 0.05% PAR-P-CONF 4 207 0.25% PAR-NEW-IN 1 8 0.25% PAR-CUL-N 3 429 0.52% PAR-CUL-P 19 86 0.10% PAR-OtHER 27 439 0.53% PAR-FLEXI 2 27
Table 2b. Summary by County for 2020 Cont.
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons<sup>*</sup></th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Refuse<sup>†</sup></th>
<th>Resample</th>
<th>Rject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>PAR-OTHER<br>PAR-PERSIS<br>PAR-RAPID<br>PAR-HERD-S<br>Gwent<br>Pembrokeshire<br>PAR-OTHER<br>PAR-PERSIS<br>PAR-RAPID<br>SER-FLEXI<br>Powys<br>PAR-NEW-IN<br>PAR-OTHER<br>PAR-PERSIS<br>PAR-RAPID<br>SER-FLEXI<br>S Wales<br>SER-FLEXI<br>W Glamorgan<br>PAR-PERSIS<br>PAR-OTHER<br>PAR-FLEXI<br>Wales - Intermediate TB<br>Carmarthen<br>PAR-OTHER<br>PARPERSIS<br>PAR-RAPID<br>Ceredigion
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th colspan="3">* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is processed again. The number of samples is based on the outcome of a repeat test. A positive result is to be treated as a positive result and a negative result is to be treated as a negative result. Therefore, the total number of samples = those that failed and those that were retested.</th>
<th colspan="15">PAR-HERD-S: potential herd slaughter, PAR-P-COINF (PAR-PERSIS from 1 April 2017): persistent TB breakdown OTWT, PAR-LOW-IN (PAR-NEW-IN from 1 April 2017): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-U: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexible extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactant, SER-FRAUD: serial false results, SER-OTHER: serial other.</th>
<th colspan="15">PAR-HERD-S: potential herd slaughter, PAR-P-COINF (PAR-PERSIS from 1 April 2017): persistent TB breakdown OTWT, PAR-LOW-IN (PAR-NEW-IN from 1 April 2017): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-U: persistent infection in cul area, PAR-OTHER: parallel other, SER-FLEXI: flexible extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NSR: serial non-specific reactant, SER-FRAUD: serial false results, SER-OTHER: serial other.</th></tr></table></tbody></table>
Table 2b. Summary by County for 2020 Cont.
<table>
<thead>
<tr>
<th>Country</th>
<th>County</th>
<th>Submission Reasons*</th>
<th>No. subs</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Refus*</th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td></td>
<td></td>
<td>PAR-RAPID</td>
<td>1</td>
<td>1.00 %</td>
<td>1</td>
<td>100.00 %</td>
<td>0</td>
<td>0.00 %</td>
<td>0</td>
<td>0.00 %</td>
<td>0</td>
<td>0.00 %</td>
</tr>
<tr>
<td></td>
<td></td>
<td>SER-FLEXI</td>
<td>2</td>
<td>48.06 %</td>
<td>6</td>
<td>12.50 %</td>
<td>40</td>
<td>83.33 %</td>
<td>2</td>
<td>4.17 %</td>
<td>2</td>
<td>4.17 %</td>
</tr>
<tr>
<td></td>
<td>NL Wales</td>
<td>PAR-NEW-IN<br>PAR-OTHER<br>PAR-PERSIS<br>PAR-RAPID<br>SER-FLEXI<br>Powys<br>S Glamorgan<br>Gwynedd<br>PAR-NEW-IN<br>PAR-OTHER<br>PAR-RAPID<br>PAR-PERSIS<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PAR-NEW-IN<br>PWales Scotland - Scotland Argyll & Bute Ayrshire Berwickshire Dumfries & G Kirkcaldy Wigtown Scotland 359 1406 572 363 79 849 21 297 21 2200 928 82641 3420 73322 5243 4143 1755 Sum:</td>
<td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></table>
- Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is placed into a new tube and retested. If all samples test positive, no further samples will be tested, a result of zero will be reported, a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive samples + negative samples + reject samples only. PAR-HERD-S: potential herd slaughter, PAR-P-CNF (PAR-PERSIS from 1 April 2017): persistent TR breakdown OTFW, PAR-LOW-IN (PAR-NEW-IN from 1 April 2017): parallel low incidence, PAR-RAPID: rapid testing of twice IRs, PAR-CUL-N: new infection in cul area, PAR-CUL-S: persistent infection in cul area, PAR-OHER: parallel other, SER-FLEXI: flexible extended test in confirmed herds with concurrent Johnne's infection/vaccination, SER-NRS: serial non-specific reactor, SER-FRAUD: serial false reactor, SER-OHER: serial other Table 3a. Summary of IFN Gamma results by country and protocol March 2020
<table>
<thead>
<tr>
<th>Country</th>
<th>Protocol</th>
<th>No submission</th>
<th>Samples</th>
<th>Positive</th>
<th>Negatives</th>
<th>Retest*</th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td>England</td>
<td>Parallel</td>
<td>139</td>
<td>14090</td>
<td>100.0%</td>
<td>533</td>
<td>3.8%</td>
<td>12595</td>
<td>89.4%</td>
<td>882</td>
<td>6.3%</td>
<td>699</td>
<td>5.0%</td>
<td>263</td>
<td>1.9%</td>
</tr>
<tr>
<td></td>
<td>Serial/Extended</td>
<td>0</td>
<td>0</td>
<td>0.0%</td>
<td>0</td>
<td>0.0%</td>
<td>0</td>
<td>0.0%</td>
<td>0</td>
<td>0.0%</td>
<td>0</td>
<td>0.0%</td>
<td>0</td>
<td>0.0%</td>
</tr>
<tr>
<td>Total</td>
<td></td>
<td>139</td>
<td>14090</td>
<td>100.0%</td>
<td>533</td>
<td>3.8%</td>
<td>12595</td>
<td>89.4%</td>
<td>882</td>
<td>6.3%</td>
<td>699</td>
<td>5.0%</td>
<td>263</td>
<td>1.9%</td>
</tr>
<tr>
<td>Scotland</td>
<td>Parallel</td>
<td>10</td>
<td>768</td>
<td>100.0%</td>
<td>42</td>
<td>5.5%</td>
<td>681</td>
<td>88.7%</td>
<td>50</td>
<td>6.5%</td>
<td>45</td>
<td>5.9%</td>
<td>0</td>
<td>0.0%</td>
</tr>
<tr>
<td></td>
<td>Serial/Extended</td>
<td>0</td>
<td>0</td>
<td>0.0%</td>
<td>0</td>
<td>0.0%</td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
<table cellspacing="1">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th colspan="14" style="text-align:center;">Wales Parallel Serial/Extended Total GB Parallel Serial/Extended Total 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 14090 139 1409
<table cellspacing="2">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th colspan="2" style="text-align:center;">Total (n)</th> <table cellspacing="2">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th colspan="2" style="text-align:center;">Total (n)</th> <table cellspacing="2">
<thead style="text-align:center;">
<tr style="background-color:#f2f2f2;">
<th colspan="2" style="text-align:center;">Total (n)</th> </table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></html
Table 3b. Summary of IFN Gamma results by country and protocol (Total 2020)
<table>
<thead>
<tr>
<th>Country</th>
<th>Protocol</th>
<th>No submissions</th>
<th>Samples</th>
<th colspan="2">Positive</th>
<th colspan="2">Negatives</th>
<th colspan="2">Retest*</th>
<th colspan="2">Resample</th>
<th colspan="2">Reject</th>
</tr>
<tr>
<td></td>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="2">England</td>
<td rowspan="2">Parallel</td>
<td>535</td>
<td>64611</td>
<td>98.1%</td>
<td>2445</td>
<td>3.8%</td>
<td>57394</td>
<td>88.8%</td>
<td>3954</td>
<td>6.1%</td>
<td>3104</td>
<td>4.8%</td>
<td>1668</td>
<td>2.6%</td>
</tr>
<tr>
<td>13</td>
<td>1224</td>
<td>1.9%</td>
<td>70</td>
<td>5.7%</td>
<td>1113</td>
<td>90.9%</td>
<td>59</td>
<td>4.8%</td>
<td>41</td>
<td>3.3%</td>
<td>0</td>
<td>0.0%</td>
</tr>
<tr>
<td rowspan="2">Scotland</td>
<td rowspan="2">Serial/Extended Parallel</td>
<td>548</td>
<td>65835</td>
<td>100.0%</td>
<td>2515</td>
<td>3.8%</td>
<td>58507</td>
<td>88.9%</td>
<td>4013</td>
<td>6.1%</td>
<td>3145</td>
<td>4.8%</td>
<td>1668</td>
<td>2.5%</td>
</tr>
<tr>
<td>21</td>
<td>2200</td>
<td>100.0%</td>
<td>66</td>
<td>3.0%</td>
<td>1957</td>
<td>89.0%</td>
<td>129</td>
<td>5.9%</td>
<td>112</td>
<td>5.1%</td>
<td>65</td>
<td>3.0%</td>
</tr>
<tr>
<td rowspan="2">Wales GB Total Serial/Extended Parallel Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/Extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Parallel Total Serial/extended Paral
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
- Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test the original sample. Depending on the outcome of a retest, a resample (if QC criteria fail to be met), a positive or a negative result will be reported. Therefore, the total number of samples = the sum of positive, negative, resample and reject samples only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following the overnight culture stage of the assay such that if the sample fails any of the QC criteria, it is possible for the laboratory to re-test
<img>A table showing summary statistics for IFN Gamma results by country and protocol.</img></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following
the overnight culture stage of
the assay such that if
the sample fails any
of
the
QC
criteria,
it
is
possible
for
the
laboratory
to
re-test
the
original
sample.
Depending
on
the
outcome
of
a
retest,
a
resample
(if
QC
criteria
fail
to
be
met),
a
positive
or
a
negative
result
will
be
reported.
Therefore,
the
total
number
of
samples
= the
sum
of
positive,
negative,
resample
and
reject
samples
only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following
the overnight culture stage of
the assay such that if
the sample fails any
of
the
QC
criteria,
it
is
possible
for
the
laboratory
to
re-test
the
original
sample.
Depending
on
the
outcome
of
a
retest,
a
resample
(if
QC
criteria
fail
to
be
met),
a
positive
or
a
negative
result
will
be
reported.
Therefore,
the
total
number
of
samples
= the
sum
of
positive,
negative,
resample
and
reject
samples
only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following
the overnight culture stage of
the assay such that if
the sample fails any
of
the
QC
criteria,
it
is
possible
for
the
laboratory
to
re-test
the original sample.
Depending on
the outcome
of
a
retest,
a
resample
(if
QC
criteria
fail
to
be
met),
a
positive
or
a
negative
result
will
be
reported.
Therefore,
the
total
number
of
samples
= the
sum
of
positive,
negative,
resample
and
reject
samples
only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following
the overnight culture stage of
the assay such that if
the sample fails any
of
the
QC
criteria,
it
is
possible
for
the
laboratory
to
re-test
the
original
sample.
Depending on
the outcome
of
a
retest,
a
resample
(if
QC
criteria
fail
to
be
met), a
positive
or
a
negative
result
will
be
reported.
Therefore,
the
total
number
of
samples
= the
sum
of
positive,
negative,
resample
and
reject
samples
only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following
the overnight culture stage of
the assay such that if
the sample fails any
of
the
QC
criteria,
it
is
possible
for
the
laboratory
to
re-test
the original sample.
Depending on
the outcome
of
a
retest,
a
resample
(if
QC
criteria
fail
to
be
met), a
positive
or
a
negative
result
will
be
reported.
Therefore,
the
total
number
of
samples
= the
sum
of
positive,
negative,
resample
and
reject
samples
only.</th></tr></table>
<table><tr><th>* Sufficient plasma supernatant is collected and stored following
the overnight culture stage of
the assay such that if
the sample fails any
of
the
QC
criteria,
it
is
possible
for
the
laboratory
to
re-test
the
original
sample.
Depending on
the outcome
of
a
retest,
a
resample
(if
QC
criteria
fail
to
be
met), a
positive
or
a
negative
result
will
be
reported.
Therefore,
the
total
number
of
samples
= the
sum
of
positive,
negative,
resample
and
reject
<table>
<tr>
<td colspan="8">Table 4a. Summary of IFN Gamma results by submission reason (March 2020)</td>
</tr>
<tr>
<td>Submission Reason</td>
<td>No submission</td>
<td>Samples</td>
<td>Gamma Positive</td>
<td>Gamma Negatives</td>
<td>Retest</td>
<td>Resample</td>
<td>Reject</td>
</tr>
<tr>
<td></td>
<td>n</td>
<td>% of total n</td>
<td>n %</td>
<td>n %</td>
<td>n %</td>
<td>n %</td>
<td>n %</td>
</tr>
<tr>
<td>GIB</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Extended Flexible IFN-GAMMA test</td>
<td>10</td>
<td>201</td>
<td>1.1%</td>
<td>21</td>
<td>10.4%</td>
<td>169</td>
<td>84.1%</td>
<td>22</td>
<td>10.9%</td>
<td>9</td>
<td>4.5%</td>
<td>2</td>
<td>1.0%</td>
</tr>
<tr>
<td>Panakel - Hand or Group Slaughterer</td>
<td>73</td>
<td>53.0%</td>
<td>7</td>
<td>13.2%</td>
<td>44</td>
<td>83.0%</td>
<td>4</td>
<td>7.5%</td>
<td>2</td>
<td>3.8%</td>
<td>0</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Panakel New Infection</td>
<td>89</<td><span style="color: #FF0000;">9083</span></th><span style="color: #FF0000;">49.8%</span></th><span style="color: #FF0000;">276</span></th><span style="color: #FF0000;">3.0%</span></th><span style="color: #FF0000;">8192</span></th><span style="color: #FF0000;">90.2%</span></th><span style="color: #FF0000;">607</span></th><span style="color: #FF0000;">6.7%</span></th><span style="color: #FF0000;">510</span></th><span style="color: #FF0000;">5.8%</span></th><span style="color: #FF0000;">105</span></th><span style="color: #FF0000;">1.2%</span></th></tr><tr><th>Panakel - new infection cut area</th><th>66<td><span style="color: #FF0000;">6295</span></th><span style="color: #FF0000;">34.5%</span></th><span style="color: #FF0000;">287</span></th><span style="color: #FF0000;">4.9%</span></th><span style="color: #FF0000;">5545</span></th><span style="color: #FF0000;">88.1%</span></th><span style="color: #FF0000;">386</span></th><span style="color: #FF0000;">6.3%</span></th><span style="color: #FF0000;">336</span></th><span style="color: #FF0000;">4.8%</span></th><span style="color: #FF000; font-size: larger;">1556</span></th><span style="color: #FF; font-size: larger;">2.5%</span></tr><tr><th>Panakel - Other</th><th>14<td><span style="color: #FFC6C6;">1473</span></th><span style="color: #FFC6C6;">9.7%</span></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th><span style="color: #FFC6C6;"></th></tr><tr><th>Panakel - Persistent Infection</th><th>59<td><span style="color: #CCFFFF;">5539</span></th><<span style="color: #CCFFFF;">8.4%</span></th><<span style="color: #CCFFFF;">123</span></th><span style="color: #CCFFFF;">8.9%</span></th><span style="color: #CCFFFF;">1321</span></th><span style="color: #CCFFFF;">85.8%</span></th><span style="color: #CCFFFF;">128</span></th><span style="color: #CCFFFF;">8.2%</span></th><span style="color: #CCFFFF;">99</span></th><span style="color: #CCFFFF;">5.8%</span></th><span style="color: #CCFFFF;">5</span></th><span style="color: #CCFFFF;"><small>3.3%<br/></small></p></tr><tr><th>Panakel - persistent infection cut area</th><th>4<td><u>4842<br/></u></th><u>4.8%</u></u> <u>18<br/></u> <u>2.1%</u> <u>784<br/></u> <u>93.1%</u> <u>47<br/></u> <u>5.8%</u> <u>49<br/></u> <u>4.8%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> <u>7<br/></u> <u>5.2%</u> </tr>
<tr>
<th>Total
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<th>
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='1' rowspan='1'>Total
<td colspan='3' rowspan= '3'>
<tr class="">
td class="" align="" valign=""><strong>Total:</strong>
td class="" align="" valign=""><strong>England - HRA</strong></strong><br>
td class="" align="" valign=""><strong>Parakel New Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - new infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - Persistent Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - persistent infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>England - HRA</strong></strong><br>
td class="" align="" valign=""><strong>Parakel New Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - new infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - Persistent Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - persistent infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>England - Edge</strong></strong><br>
td class="" align="" valign=""><strong>Parakel New Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - new infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - Persistent Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - persistent infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>England - Edge</strong></strong><br>
td class="" align="" valign=""><strong>Parakel New Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - new infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - Persistent Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - persistent infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>England - LRA</strong></strong><br>
td class="" align="" valign=""><strong>Parakel New Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - new infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - Persistent Infection</strong></strong><br>
td class="" align="" valign=""><strong>Parakel - persistent infection cut area</strong></strong><br>
td class="" align="" valign=""><strong>England - LRA</strong></Strong>>>
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Table 4b. Summary of IFN Gamma results by submission reason (Total 2020)
<table>
<thead>
<tr>
<th>Submission Reason</th>
<th>No submissions</th>
<th>Samples</th>
<th>Gamma Positive</th>
<th>Gamma Negatives</th>
<th>Retest</th>
<th>Resample</th>
<th>Reject</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>n</td>
<td>% of total</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
<td>n</td>
<td>%</td>
</tr>
<tr>
<td rowspan="8">GB</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Extended Flexible IFN-GAMMA test</td>
<td>42</td>
<td>1857</td>
<td>2.2%</td>
<td>128</td>
<td>6.9%</td>
<td>1664</td>
<td>89.6%</td>
<td>102</td>
<td>5.5%</td>
<td>63</td>
<td>3.4%</td>
<td>2</td>
<td>0.1%</td>
</tr>
<tr>
<td>Parallel - Herd or Group Slaughter</td>
<td>18</td>
<td>279</td>
<td>0.3%</td>
<td>27</td>
<td>9.7%</td>
<td>243</td>
<td>87.1%</td>
<td>20</td>
<td>7.2%</td>
<td>9</td>
<td>3.2%</td>
<td>0</td>
<td></td>
</tr>
<tr>
<td>Parallel New Infection</td>
<td>317</td>
<td>38750</td>
<td>44.5%</td>
<td>1047</td>
<td>2.8%</td>
<td>32474</td>
<td>88.4%</td>
<td>2383</td>
<td>6.5%</td>
<td>1951</td>
<td>5.3%</td>
<td>1278</td>
<td>3.5%</td>
</tr>
<tr>
<td>Parallel - new infection cull area</td>
<td>241</td>
< td="">27583 </ td>< td=""> 33.4% </ td>< td=""> 1116 </ td>< td=""> 4.0% </ td>< td=""> 24686 </ td>< td=""> 89.5% </ td>< td=""> 1699 </ td>< td=""> 6.2% </ td>< td=""> 1322 </ td>< td=""> 4.8% </ td>< td=""> 459 </ td>< td=""> 1.7% </ td></tr><tr><td rowspan="3">Parallel - Other Parallel Persistent Infection Parallel - persistent infection cull area Parallel - Rapid Testing Two-times IRRs Total England - HRA Extended Flexible IFN-GAMMA test Parallel New Infection Parallel - new infection cull area Parallel - Persistent Infection Parallel - persistent infection cull area Parallel - Rapid Testing Two-times IRRs England - Edge Parallel New Infection Parallel - new infection cull area England - LRA England Wales - High TB Extended Flexible IFN-GAMMA test Parallel - Herd or Group Slaughter Parallel New Infection Parallel - Other Parallel Persistent Infection Parallel - Rapid Testing Two-times IRRs Wales - Intermediate TB Parallel - Herd or Group Slaughter
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>n</th><th>% of total n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n % n %
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>n 13 1224 1.5% 70 5.7% 1113 90.9% 59 4.8% 41 3.3% 0
<th>n 5 415 0.5% 15 3.6% 363 87.5% 49 11.8% 36 8.7% 1 0.2%
<th>n 237 27169 32.9% 1100 4.0% 24317 89.5% 1650 6.1% 1296 4.8% 457 1.7%
<th>n 30 4958 6.0% 241 4.9% 4502 90.8% 284 5.7% 212 4.3% 3 0.1%
<th>n 21 3915 4.7% 259 6.6% 3479 88.9% 239 6.1% 176 4.5% 1
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<th>n
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Negative Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positiive Positive
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negaative Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi Negativi
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie Negetivie
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity negevity
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity negativity
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives negatives
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing="0" cellpadding="0">
<tr style="vertical-align:top;">
<th>Negative
<table cellspacing "
Table 4b. Summary of IFN Gamma results by submission reason (Total 2020) Cont.
<table>
<thead>
<tr>
<td></td>
<td>Parallel New Infection</td>
<td>30</td>
<td>3764</td>
<td>4.6%</td>
<td>83</td>
<td>2.2%</td>
<td>3437</td>
<td>91.3%</td>
<td>277</td>
<td>7.4%</td>
<td>244</td>
<td>6.5%</td>
<td>0</td>
</tr>
<tr>
<td></td>
<td>Parallel - Other</td>
<td>3</td>
<td>28</td>
<td>0.0%</td>
<td>2</td>
<td>7.1%</td>
<td>24</td>
<td>85.7%</td>
<td>4</td>
<td>14.3%</td>
<td>2</td>
<td>7.1%</td>
<td>0</td>
</tr>
<tr>
<td></td>
<td>Parallel Persistent Infection</td>
<td>15</td>
<td>683</td>
<td>0.8%</td>
<td>88</td>
<td>12.9%</td>
<td>570</td>
<td>83.6%</td>
<td>29</td>
<td>4.3%</td>
<td>24</td>
<td>3.5%</td>
<td>0</td>
</tr>
<tr>
<td></td>
<td>Parallel - Rapid Testing Two-times IRs</td>
<td>9</td>
<td>27</td>
<td>0.0%</td>
<td>6</td>
<td>22.2%</td>
<td>19</td>
<td>70.4%</td>
<td>2</td>
<td>7.4%</td>
<td>2</td>
<td>7.4%</td>
<td>0</td>
</tr>
<tr>
<td rowspan="3">Wales - Low TB</td>
<td rowspan="3">Parallel New Infection<br>Panal - Other<br>Panal - Persistent Infection<br>Panal - Rapid Testing Two-times IRs</td>
<td rowspan="3">12<br>1<br>1<br>1</td>
<td rowspan="3">1350<br>1<br><br><br></td>
<td rowspan="3">1.6%<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
```
<tr style="background-color: #f0f0f0;">
<td rowspan="3">Wales - Low TB</td>
<td rowspan="3">Parallel New Infection<br>Panal - Other<br>Panal - Persistent Infection<br>Panal - Rapid Testing Two-times IRs</td>
<td rowspan="3">12<br>1<br>1<br>1</td>
<td rowspan="3">1350<br>1<br> </table>
```
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
```
</tr>
```
</thead>
<tbody>
```
<tr style="background-color: #f0f0f0;">
<td rowspan="3">Wales - Low TB</td>
<td rowspan="3">Parallel New Infection<br>Panal - Other<br>Panal - Persistent Infection<br>Panal - Rapid Testing Two-times IRs</td>
<td rowspan="3">12<br> &</table>
```
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th></th>
```
</tr>
```
</thead>
<tbody>
```
<tr style="background-color: #f0f0f0;">
<td rowspan="3">Wales - Low TB</td>
<td rowspan="3">Parallel New Infection<br>Panal - Other<br>Panal - Persistent Infection<br>Panal - Rapid Testing Two-times IRs</table>
```
<table border="1">
<thead style="background-color: #f0f0f0;">
<tr style="background-color: #f0f0f0;">
<th></th>
```
</tr>
```
</thead>
<tbody>
```
<tr style="background-color: #f0f0f0;">
<td rowspan="3">Wales - Low TB</td>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;">Summary of IFN Gamma results by submission reason (Total 2020) Cont.</table>
```
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style="text-align:center;"></table>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th colspan="12" style=""></table>
<table border="" cellspacing="" cellpadding="">
<tr height=5px width=5px align=center valign=top class=bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-bottom-border-bottom-
Table 5a. Summary of PM and culture results for IFNg positive animals.
<table>
<thead>
<tr>
<th>Year</th>
<th>Month</th>
<th>Herds sampled</th>
<th>Samples tested</th>
<th>Herds with positives</th>
<th>IFNg+ samples</th>
<th>Wrong Eartags</th>
<th>No PM Cult Neg</th>
<th>No PM Cult Mb</th>
<th>No PM Cult Other</th>
<th>VL No Cult Neg</th>
<th>VL Cult Neg</th>
<th>VL Cult Mb</th>
<th>NVL No Cult Neg</th>
<th>NVL Cult Pend</th>
<th>NVL Cult Neg</th>
<th>NVL Cult Mb</th>
<th>NVL Cult Other</th>
</tr>
</thead>
<tbody>
<tr>
<td>2019</td>
<td>April</td>
<td>269</td>
<td>30320</td>
<td>162</td>
<td>1135</td>
<td>1</td>
<td>8</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>87</td>
<td>3</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>989</td>
<td>0</td>
<td>40</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td></td>
<td>May</td>
<td>364</td>
<td>28357</td>
<td>176</td>
<td>1116</td>
<td></td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>99</td>
<td>0</td>
<td>0</td>
<td>5</td>
<td>0</td>
<td>962</td>
<td>6</td>
<td>42</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td></td>
<td>June</td>
<td>287</td>
<td>26287</td>
<td>159</td>
<td>964</td>
<td>5</td>
<td>13</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>94</td>
<td>1</td>
<td>0</td>
<td>4</td>
<td>0</td>
<td>773</td>
<td>0</td>
<td>73</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td></td>
<td>july </td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td></tr><tr><th colspan="2">August </th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><td colspan="2">September </td><td></td><td></td><td></ td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td td tfd t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t d t dd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fdd fd df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df df db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db db bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd bdbd 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Table 5b. Summary of culture results for IFNg positive animals (Samples received in last 12 months)
<table>
<thead>
<tr>
<th>Country</th>
<th>Herd sampled</th>
<th>Samples tested</th>
<th>Herd positives</th>
<th>IFNg samples</th>
<th>No PM Cult</th>
<th>No PM Pend Neg</th>
<th>No PM Mb</th>
<th>No PM Other</th>
<th>VL No Cult</th>
<th>VL Cult Neg</th>
<th>VL Cult Pend</th>
<th>VL Cult Mb</th>
<th>NVL No Cult</th>
<th>NVL Cult Pend</th>
<th>NVL Cult Neg</th>
<th>NVL Cult Mb</th>
<th>NVL Cult Other</th>
</tr>
</thead>
<tbody>
<tr>
<td>England</td>
<td>2071</td>
<td>261990</td>
<td>1270</td>
<td>8940</td>
<td>316</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1069</td>
<td>8</td>
<td>6</td>
<td>42</td>
<td>2</td>
<td>7385</td>
<td>7</td>
<td>62</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<td>Scotland</td>
<td>40</td>
<td>4527</td>
<td>21</td>
<td>152</td>
<td>32</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>13</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>0</td>
<td>94</td>
<td>8</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Wales</td>
<td>1364</td>
<td>62909</td>
<td>694</td>
<td>29066</td>
<td>72</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>115</td>
<td>8</td>
<td>8</td>
<td>23</td>
<td>1</td>
<td>2070</td>
<td>118</td>
<td>478</td>
<td>0</td>
<td>6</td>
</tr>
<tr style="border-top: 1px solid black;">
<td><strong>Totals</strong></td>
<td><strong>3475</strong></td>
<td><strong>329426</strong></td>
<td><strong>1985 </strong></td>
<td><strong>11998 </strong></td>
<td><strong>420 </strong></td>
<td><strong>0 </strong></td>
<td><strong>0 </strong></td>
<td><strong>0 </strong></td>
<td><strong>0 </strong></td>
<td><strong>1197 </strong></td>
<td><strong>16 </strong></td>
<td><strong>14 </strong></td>
<td><strong>68 </strong></td>
<td><strong>3 </strong></td>
<td><strong>9549 </strong></td>
<td><strong>133 </strong></td>
<td><strong>541 </strong></td>
<td><strong>0 </strong></td>
<td><strong>7 </strong></td>
</tr>
</tbody>
</table>
<img>A table summarizing the culture results for IFNg positive animals.</img>
| Country | Herds sampled | Samples tested | Herd positives | IFNg samples | No PM Cult | No PM Pend Neg | No PM Mb | No PM Other | VL No Cult | VL Cult Neg | VL Cult Pend | VL Cult Mb | NVL No Cult | NVL Cult Pend | NVL Cult Neg | NVL Cult Mb | NVL Cult Other | |---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---| | England | 2071 | 261990 | 1270 | 8940 | 316 | 0 | 0 | 0 | 0 | 1069 | 8 | 6 | 42 | 2 | 7385 | 7 | 62 | 0 | 1 | | Scotland | 40 | 4527 | 21 | 152 | 32 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 3 | 0 | 94 | 8 | 1 | 0 | 0 | | Wales | 1364 | 62909 | 694 | 29066 | 72 | 0 | 0 | 0 | 0 | 115 | 8 | 8 | 23 | 1 | 2070 | 118 | 478 | 0 | 6 | | Totals &nb... Figure 4a. Number of herds sampled for IFNg and numbers of herds with any positive IFNg results.
<img>
A line graph showing the number of herds sampled for IFNg over time.
The x-axis represents years from 2018 to 2020.
The y-axis represents the number of herds, ranging from 0 to 400.
For each year, there are two lines:
- A light blue line labeled "IFNg Positive herds" shows the number of herds sampled for IFNg.
- A green line labeled "IFNg Negative herds" shows the number of herds that tested negative for IFNg.
Data points are plotted for each month within each year.
Legend: Light blue square - IFNg Positive herds; Green square - IFNg Negative herds.
</img>
Figure 4b. Number of animals sampled for IFNg and numbers of animals with positive IFNg results.
<img>
A stacked bar chart showing the number of animals sampled for IFNg over time.
The x-axis represents years from 2018 to 2020.
The y-axis represents the number of animals, ranging from 0 to 35,000.
For each year, there are three bars:
- A light blue bar labeled "IFNg positive animals" shows the number of animals sampled for IFNg that tested positive.
- A green bar labeled "IFNg non positive animals*" shows the number of animals sampled for IFNg that tested negative.
Legend: Light blue bar - IFNg positive animals; Green bar - IFNg non positive animals*.
</img>
\*Includes all animals with IFNg test negative, resample and reject outcomes Figure 5. Rates of resamples including the fail rates broken down for positive (POS) and negative (NEG) controls.
<img>
A line graph showing the rates of resamples including the fail rates broken down for positive (POS) and negative (NEG) controls.
The x-axis shows months from January to March of 2018, 2019, and 2020.
The y-axis shows % of total submitted, ranging from 0 to 8.
There are four lines:
- Pink line with asterisks (%Rejected)
- Orange line with crosses (%Resampled)
- Blue line with triangles (%NEG Fail)
- Green line with circles (%POS Fail)
</img>
Legend:
- Pink line with asterisks: %Rejected
- Orange line with crosses: %Resampled
- Blue line with triangles: %NEG Fail
- Green line with circles: %POS Fail Figure 6. Proportion of samples retested, or requiring a resample, during March 2020 (% submission per County)
<img>
A bar chart showing the proportion of samples retested or requiring a resample across different counties in the UK. The x-axis represents the number of samples (from 0 to 30), and the y-axis represents the percentage of samples retested or requiring a resample.
The legend indicates two colors: %Resampled (light blue) and %Retested (green).
Legend:
- Argyll & Bute: 6.10 % Resampled, 7.32 % Retested
- Berks: 7.02 % Resampled, 8.06 % Retested
- Berwickshire: 10.26 % Resampled, 10.26 % Retested
- Bucks: 4.90 % Resampled, 6.15 % Retested
- Carmarthen: 4.76 % Resampled, 10.12 % Retested
- Ceredigion: 2.50 % Resampled, 2.50 % Retested
- Cheshire: 5.22 % Resampled, 5.98 % Retested
- Corn & Scilly: 4.49 % Resampled, 6.36 % Retested
- Derbyshire: 7.85 % Resampled, 8.99 % Retested
- Devon: 4.15 % Resampled, 5.76 % Retested
- Dorset: 6.56 % Resampled, 8.13 % Retested
- Dumfries & Galloway: 4.29 % Resampled, 4.29 % Retested
- Gloucestershire: 3.80 % Resampled, 4.63 % Retested
- Leics & Rutland: 6.90 % Resampled, 6.90 % Retested
- Gwent: 7.53 % Resampled, 11.83 % Retested
- Gwynedd: 4.65 % Resampled, 6.98 % Retested
- Hampshire: 2.99 % Resampled, 3.42 % Retested
- Humberside: 6.41 % Resampled, 8.97 % Retested
- Leics & Rutland: 3.35 % Resampled, 5.93 % Retested
- Lincolnshire: 1.69 % Resampled, 1.69 % Retested
- NE Wales: 6.93 % Resampled, 8.29 % Retested
- Norfolk: N Yorks: N Yorks
- Oxfordshire: Oxon: 7.44 % Resampled, 7.66 % Retested
- Powys: Powys: 4.17 % Resampled, 11.11 % Retested
- Shropshire: Shropshire: 3.94 % Resampled, 5.56 % Retested
- Somerset excli: Somerset excli: 3.08 % Resampled, 4.44 % Retested
- Staffs: Staffs: 4.51 % Resampled, 4.66 % Retested
- Surrey: Surrey: 3.98 % Resampled, 5.11 % Retested
- Wiltshire: Wiltshire: Wiltshire: Wiltshire: Wiltshire: Wiltshire:
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%Retested | #Resampled | #Retested
Argyll & Bute | <img>Argyll & Bute</img> | <img>Argyll & Bute</img> Berks | <img>Berks</img> | <img>Berks</img> Berwickshire | <img>Berwickshire</img> | <img>Berwickshire</img> Bucks | <img>Bucks</img> | <img>Bucks</img> Carmarthen | <img>Carmarthen</img> | <img>Carmarthen</img> Ceredigion | <img>Ceredigion</img> | <img>Ceredigion</img> Cheshire | <img>Cheshire</img> | <img>Cheshire</img> Corn & Scilly | <img>Corn & Scilly</img> | <img>Corn & Scilly</img> Derbyshire | <img>Derbyshire</img> | <img>Derbyshire</img> Devon | <img>Devon</img> | <img>Devon</img> Dorset | <img>Dorset</img> | <img>Dorset</img> Dumfries & Galloway | <img>Dumfries & Galloway</img> | <img>Dumfries & Galloway</img> Gloucestershire | <img>Gloucestershire</img> | <img>Gloucestershire</img> Leics & Rutland | <img>Leics & Rutland</img> | <img>Leics & Rutland</img> Gwent | <img>Gwent</img> | <img>Gwent</img> Gwynedd | <img>Gwynedd</img> | <img>Gwynedd</img> Hampshireside | <img>Hampshireside</img> | <img>Hampshireside</img> Leics & Rutland | <img>Leics & Rutland</img> | <img>Leics & Rutland</img> Lincolnshireshire | <img>Lincs</img> | <img>Lincs</img> NE Wales | <img>NE Wales</img> | <img>NE Wales</img> Norfolk | N Yorks | Oxon | Oxon | Powys | Powys | Shropshireshire | Shropshireshire | Somerset excli | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey | Staffs | Surrey |
<watermark>%Retested #Resampled #Retested</watermark>
<watermark>%Retested #Resampled #Retested</watermark>
<watermark>%Retested #Resampled #Retested</watermark>
<watermark>%Retested #Resampled #Retested</watermark>
<watermark>%Retested #Resampled #Retected
<watermark>%Retected
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<watermark>%Retected Table 6a (i): Number of animals and submissions tested in March 2020
<table>
<thead>
<tr>
<td>Country</td>
<td>No. animals</td>
<td>No. of IFHg+ animals</td>
<td>% Positive animals</td>
<td>No. samples</td>
<td>No. of IFHg+ samples</td>
<td>% Positive samples</td>
</tr>
</thead>
<tbody>
<tr>
<td>England</td>
<td>13849</td>
<td>533</td>
<td>3.8%</td>
<td>14090</td>
<td>533</td>
<td>3.8%</td>
</tr>
<tr>
<td>Wales</td>
<td>3282</td>
<td>189</td>
<td>5.8%</td>
<td>3383</td>
<td>189</td>
<td>5.6%</td>
</tr>
<tr>
<td>Scotland</td>
<td>751</td>
<td>42</td>
<td>5.6%</td>
<td>768</td>
<td>42</td>
<td>5.5%</td>
</tr>
<tr>
<td>GB</td>
<td>17882</td>
<td>764</td>
<td>4.3%</td>
<td>18221</td>
<td>764</td>
<td>4.2%</td>
</tr>
</tbody>
</table>
Table 6a (ii): Number of animals and submissions tested in March 2019
<table>
<thead>
<tr>
<td>Country</td>
<td>No. animals</td>
<td>No. of IFHg+ animals</td>
<td>% Positive animals</td>
<td>No. samples</td>
<td>No. of IFHg+ samples</td>
<td>% Positive samples</td>
</tr>
</thead>
<tbody>
<tr>
<td>England</td>
<td>23913</td>
<td>124</td>
<td>5.2%</td>
<td>24319</td>
<td>1241</td>
<td>5.1%</td>
</tr>
<tr>
<td>Wales</td>
<td>4862</td>
<td>301</td>
<td>6.2%</td>
<td>4939</td>
<td>301</td>
<td>6.1%</td>
</tr>
<tr>
<td>Scotland</td>
<td>366</td>
<td>4</td>
<td>1.1%</td>
<td>366</td>
<td>4</td>
<td>1.1%</td>
</tr>
<tr>
<td>GB</td>
<td>29141</ td><br/>
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**Table 7a Number of private samples March 2020**
| *Test type* | Num Submissions | Num Samples | Num Positives Private | % Positive | |---|---|---|---|---| | Total | 0 | 0 | 0 | 0 |
**Table 7b Number of private samples 2020**
| *Test type* | Num Submissions | Num Samples | Num Positives Private | % Positive | |---|---|---|---|---| | Cheshire | PRV-SP | 1 | 1 | 0 | 0 | | Devon | PRV-SE | 1 | 119 | 0 | 0 | | Dorset | PRV-SP | 1 | 6 | 0 | 0 | | Dorset | PRV-SE | 1 | 1 | 0 | 0 | | Gloucestershire | PRV-SE | 1 | 4 | 3 | 37.50 % | | Cumbria | PRV-SP | 1 | 32 | 0 | 0 | | Staffordshire | PRV-SE | 1 | 24 | 0 | 0 | | Worcestershire | PRV-SP | 1 | 1 | 0 | 0 | | **Total** | **9** | **195** | **3** | **1.54 %** | | Isle of Man | SER-IOM | **6** | **46** | **0** | **0** |
\*SER-IOM: Serial High Specificity test – Isle of Man; PRV-SE: Private High Sensitivity test - England; PRV-SP: Private High Specificity test – England Table 8a Number of Cattle Antibody Tests March 2020
<table>
<thead>
<tr>
<th>Test</th>
<th>County</th>
<th>Num Submissions</th>
<th>Num Samples Tested</th>
<th>Num Positive Samples</th>
<th>% Positive</th>
</tr>
</thead>
<tbody>
<tr>
<td>TC0077</td>
<td>Carmarthenshire</td>
<td>2</td>
<td>33</td>
<td>6</td>
<td>18.2%</td>
</tr>
<tr>
<td></td>
<td>Ceredigion</td>
<td>3</td>
<td>5</td>
<td>1</td>
<td>20.0%</td>
</tr>
<tr>
<td></td>
<td>North East Wales</td>
<td>6</td>
<td>370</td>
<td>36</td>
<td>9.7%</td>
</tr>
<tr>
<td></td>
<td>Pembrokeshire</td>
<td>7</td>
<td>120</td>
<td>23</td>
<td>19.2%</td>
</tr>
<tr>
<td></td>
<td>Powys</td>
<td>2</td>
<td>83</td>
<td>11</td>
<td>13.3%</td>
</tr>
<tr>
<td></td>
<td>South Wales</td>
<td>4</td>
<td>97</td>
<td>26</td>
<td>26.8%</td>
</tr>
<tr>
<td>TC0077</td>
<td></td>
<td>24</td>
<td>708</td>
<td>103</td>
<td>14.5 %</td>
</tr>
</tbody>
</table>
Table 8b Number of Cattle Antibody Tests 2020
<table>
<thead>
<tr>
<th>Test</th>
<th>County</th>
<th>Num Submissions</th>
<th>Num Samples Tested</th>
<th>Num Positive Samples</th>
<th>% Positive</th>
</tr>
</thead>
<tbody>
<tr>
<td>TC0077</td>
<td>Carmarthenshire</td>
<td>8</td>
<td>216</td>
<td>32</td>
<td>14.8%</td>
</tr>
<tr>
<td></td>
<td>Ceredigion</td>
<td>4</td>
<td>7</td>
<td>1</td>
<td>14.3%</td>
</tr>
<tr>
<td></td>
<td>Devon.</td>
<td>4</td>
<td>1,532</td>
<td>95</td>
<td>9.2%</td>
</tr>
<tr>
<td></td>
<td>North East Wales</td>
<td>12</td>
<td>505</td>
<td>54</td>
<td>10.7%</td>
</tr>
<tr>
<td></td><td>Pembrokeshire </td><td>16 </td><td>357 </td><td>56 </td><td><u style="color: red;">15.7% </u></td></tr><br/>
<tr><th></th><th>Powys </th><th></th><th></th><th></th><th></u style="color: red;">13.3%</u></th></tr><br/>
<tr><th></th><th>South Wales </th><th></th><th></th><th></th><u style="color: red;">21.1%</u></tr><br/>
<tr><th></th><u style="color: red;">TC0077 </u><th></th><u style="color: red;">54 </u><u style="color: red;">2,342 </u><u style="color: red;">279 </u><u style="color: red;">11.9 % </u></tr><br/>
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<tr><span id='table_8b_caption'>Table 8b Number of Cattle Antibody Tests 2020<br/></span> </span><br/>
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<th align='left'><strong id='table_8b_header_1'>Test<br/></strong> </th> <strong id='table_8b_header_2'>County<br/></strong> <strong id='table_8b_header_3'>Num Submissions<br/></strong> <strong id='table_8b_header_4'>Num Samples Tested<br/></strong> <strong id='table_8b_header_5'>Num Positive Samples<br/></strong> <strong id='table_8b_header_6'>% Positive<br/></strong>
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ENGLISH
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2511-pdf
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NSA Network European Railway Agency NSA Cross-audit Programme
# Assessment of NSA activities in the Office of Rail Regulation
Audit final report
\<page_number>4540927\</page_number> Audit final report
**Version Control**
| Document issued by: | Leif Funch | |---|---| | Released by: (the lead auditor) | Leif Funch | | Authors: (the audit team) | Antanas Dubikaitis, Adam Owsianik, Eleni Douvi, Leif Funch | | Version: | 2.0 | | Date: | 26.11.2012 | | Type of document: | Report | | Status of document: | Audit final report |
**Amendment records**
<table>
<thead>
<tr>
<th>Version</th>
<th>Date</th>
<th>Issuer</th>
<th>Distribution</th>
</tr>
</thead>
<tbody>
<tr>
<td>0.1</td>
<td>23.10.2012</td>
<td>Leif Funch</td>
<td>Antanas Dubikaitis</td>
</tr>
<tr>
<td>1.0</td>
<td>29.10.2012</td>
<td>Leif Funch</td>
<td>ORR</td>
</tr>
<tr>
<td>1.0</td>
<td>26.11.2012</td>
<td>Leif Funch</td>
<td>Public</td>
</tr>
</tbody>
</table>
Audit final report ORR \<page_number>7\</page_number> 4540927 Audit final report
**References**
<table>
<tr>
<td>N°</td>
<td>Description</td>
<td>Version</td>
</tr>
<tr>
<td>/1/</td>
<td>NSA Cross-Audit Programme, Programme manual, Pilot Audit Cycle (2011-2013)</td>
<td>Version 0.7</td>
</tr>
<tr>
<td>/2/</td>
<td>Audit protocols</td>
<td>Version 13</td>
</tr>
<tr>
<td>/3/</td>
<td>NSA Cross-audit protocols, Test phase 2011 - 2013, Guidance</td>
<td>Version 12</td>
</tr>
</table>
Audit final report ORR \<page_number>1\</page_number> 4540927 Audit final report
**1 TABLE OF CONTENT**
<table>
<tr>
<td>1</td>
<td>Table of content</td>
<td>4</td>
</tr>
<tr>
<td>2</td>
<td>Executive summary</td>
<td>5</td>
</tr>
<tr>
<td>2.1</td>
<td>Overall summary of the conclusions</td>
<td>5</td>
</tr>
<tr>
<td>2.2</td>
<td>Main observations</td>
<td>5</td>
</tr>
<tr>
<td>2.2.1</td>
<td>All three processes</td>
<td>5</td>
</tr>
<tr>
<td>2.2.2</td>
<td>Safety certification and safety authorisation</td>
<td>6</td>
</tr>
<tr>
<td>2.2.3</td>
<td>Supervision</td>
<td>6</td>
</tr>
<tr>
<td>2.2.4</td>
<td>Authorisation for placing in service</td>
<td>7</td>
</tr>
<tr>
<td>3</td>
<td>Cross-audit process</td>
<td>8</td>
</tr>
<tr>
<td>3.1</td>
<td>Cross-audit process & resources</td>
<td>8</td>
</tr>
<tr>
<td>3.2</td>
<td>Cross-audit scope & objectives</td>
<td>8</td>
</tr>
<tr>
<td>4</td>
<td>result of the Cross audit</td>
<td>10</td>
</tr>
<tr>
<td>4.1</td>
<td>Safety certification and safety authorisation</td>
<td>10</td>
</tr>
<tr>
<td>4.2</td>
<td>Supervision.</td>
<td>13</td>
</tr>
<tr>
<td>4.3</td>
<td>Authorisation for placing subsystems in service</td>
<td>17</td>
</tr>
<tr>
<td>4.4</td>
<td>Conclusions on the business level</td>
<td>19</td>
</tr>
<tr>
<td>5</td>
<td>Final conclusion.</td>
<td>20</td>
</tr>
<tr>
<td>6</td>
<td>Confidentiality statement.</td>
<td>20</td>
</tr>
</table>
Audit final report ORR \<page_number>I\</page_number>
4540927 Audit final report
**2 EXECUTIVE SUMMARY**
This document is the audit final report from the conduct of the audit to the Office of Rail Regulation, within the framework of the NSA Cross-audit Programme. According to the cross-audit manual, the audit scope covered the following 3 processes:
- Safety certification/safety authorisation;
- Supervision of safety performance;
- Authorisation for placing subsystems into service.
For the conduct of the audit the following documents were followed:
- The Audit Charter, version 1.1;
- the cross-audit manual, version 07;
- the audit protocols, version 13;
- the guidance to the protocols, version 12.
**2.1 Overall summary of the conclusions**
ORR appears prepared to:
- process applications regarding safety certification/safety authorisation
- process applications regarding authorisation for placing subsystems into service
- perform supervision of safety performance.
ORR has established procedures and extensive guidance for
1. Safety certification/safety authorization
2. Supervision of safety performance
3. Authorisation for placing subsystems in service
This guidance is available both internal and for the applicants/industry. The implementation of procedures for all three activities was audited at ORR offices in London, York and Manchester. There was evidence that the procedures apply throughout the ORR organisation.
**2.2 Main observations**
**2.2.1 All three processes**
ORR has identified and described procedures to deliver all three activities and related tasks in a structured way. Relevant guidance on how to perform tasks is available for all relevant staff. The implementation of procedures for all three activities was audited at ORR offices in London, York and Manchester. There was evidence that the procedures are transparent and consistently applied throughout the organisation. Furthermore necessary resources, deadlines and milestones to deliver all three activities are in place and internal control is performed on whether these are respected. For performance of the activities experienced staff are used and the necessary competences to deliver tasks are identified and staff are trained.
Strengths
- ORR has produced (in conjunction with the industry) good and easily accessible guidance documents for both applicants and ORR staff dealing with the different processes. They provide detailed information of the requirements and the way the application will be subject to
Audit final report ORR \<page_number>5\</page_number> 4540927 Audit final report
assessment.
- ORR co-operates well with applicants working with them to find new ways of doing things and keeping them informed on future developments
- ORR encourage stakeholders to adopt best practice
- The processes are consistently applied throughout the organisation
- ORR has performed several evaluations involving stakeholders
- ORR has very detailed competence requirements for inspectors carrying out inspections and an SMS audit/inspection. Inspectors are trained on inspection and audit techniques and also on what constitutes an effective SMS.
**Issues for possible improvements**
- ORR has developed a CMS that partially covers ORR staff undertaking SCA/SP. ORR could consider developing specific competency requirements for the different roles within the SCA/ SP/APS processes. This should include engineers involved in these processes.
- ORR should consider having a consistent method of hand over when the account holder changes. The audit team said that there were 2 different cases of hand over: in one case there is overlapping of 4 months, whereas in another case there was no overlapping at all. The new account holder who assessed the application for the safety certificate renewal was not informed about the remedial actions the RU has done after an accident which took place some months before the application of the certificate renewal.
**2.2.2 Safety certification and safety authorisation**
**Strengths**
- ORR has written procedures which applies in its organisation;
- ORR has detailed manuals detailing what is expected of applicants and inspectors
- ORR has published their internal assessment procedure on their website
- The use of templates during the assessment process helps ORR to keep track of key decisions
**Issues for possible improvements**
- The use of the “ROGS assessment check list” & “the assessment plan calculator” help the Assessment Managers to easily monitor deadlines and take immediate action when required and ORR should consider making these forms mandatory
- Procedures are not up to date after the restructuring of ORR & change of IT systems, although there is a project running at the moment to review procedures
**2.2.3 Supervision**
**Strengths**
- ORR performs planned supervision and encouraging excellence by applying the Railway Management Maturity Model (RM3 model). This model is used to assess an organisation’s ability to achieve excellence by controlling its safety risks.
**Issues for possible improvements**
- ORR should consider clarifying and explaining in their manual how the results from the supervision activity are taken into account during the reassessment of a safety certificate/ safety authorisation
- ORR has a system interface risk team as part of its planning team to ensure the interface risks are covered across the Network Rail and Transport Undertaking teams. ORR should review this process to see if it is adequately dealing with system safety issues. ORR has a System Interface risk team. That team’s role is to look at risk at all interfaces, a key priority is looking at Level Crossing risk, but it does cover other interface risk areas. However ORR should consider
Audit final report ORR \<page_number>6\</page_number> 4540927 Audit final report
evaluating whether, separating Network Rail and Transport undertakings work into discrete units, poses risks to supervising system safety issues and consider improving working arrangements on system safety issues between the different units in a systematic way.
**2.2.4 Authorisation for placing in service**
**Strengths**
- ORR expects industry to comply with a common format developed through amendment to the NB Rail RFU on the structure of the technical file which is a pan-European requirement.
- ORR has developed a checklist to ensure that all the required documentation for On-board GSM-R authorizations has been submitted.
**Issues for possible improvements**
- ORR should consider introducing procedures and decision making criteria for identifying a substantial risk in case of APS for a non TSI conforming vehicle.
- ORR should consider having a documented process to ensure continuous improvement of the APS activities.
- There is no process securing a link between post APS and Supervision activities, e.g. how to incorporate supervision of projects that have been awarded an authorization for placing in service. ORR commented here that the CSM SP is a key issue. Audits from engineering point of view and from SMS point of view should be part of their strategy.
Audit final report ORR \<page_number>4540927\</page_number> Audit final report
**3 CROSS-AUDIT PROCESS**
**3.1 Cross-audit process & resources**
The procedures of the Cross-audit Programme manual have been followed during the whole audit process. The duration of the audit is October 2011 – November 2012. The key steps of the procedure are given here:
- The request for establishment of communication was sent on 13/01/2012;
- The NSA appointed the contact person on 18/01/2012;
- The confirmation letter to conduct the audit was sent on 19/10/2011;
- The request for submission of documents was made on 29/11/2011;
- Documents were submitted on 19/12/2011;
The Kick-off meeting took place on 21/05/2012.
The on-site audit lasted 4 days: 18/06/2012 – 21/06/2012. The on-site audit activities included conduct of interviews, review of selected process documentation and cases related to scope of the audit. Additional meetings with the auditee and internal audit meetings were carried out. Meetings with the auditee included entry and closing meeting as well as ad hoc meetings for briefing of the auditee about the progress of the audit.
During the 4 days of the on-site audit audits was carried out in the following departments:
- Railway Safety
- Railway Planning & Performance
and at the following locations:
- ORR Head Office, London
- ORR Office, Manchester
- ORR Office, York
All interviews but one took place as planned. One interview planed at the ORR office in Manchester was cancelled due to absence of the person planned to be interviewed. Conducted interviews are listed in annex IV.
For the entry meeting and closing meeting the following documents were created:
- Agenda for the entry meeting;
- Agenda for the closing meeting;
- Minutes for the entry meeting;
- Minutes for the closing meeting;
**3.2 Cross-audit scope & objectives**
The audit took place within the pilot audit cycle of the NSA Cross-audit Programme. The objectives of the audit, as described in the Cross-audit Charter is to:
- evaluate delivery by NSAs of their duties and responsibilities set out in Directives 2004/49/EC and 2008/57/EC,
- exchange knowledge and good practice on NSA processes to facilitate the harmonisation of decision-making criteria as foreseen by Article 17.4 of Directive 2004/49/EC,
- identify issues faced by the NSA when applying the requirements of the EU legislation, and possible solutions to keep meeting the requirements of Directive 2004/49/EC.
Audit final report ORR \<page_number>4\</page_number> 4540927 Audit final report
The scope of the audit is to assess 3 processes against the audit protocols:
- Safety certification/ safety authorisation;
- Supervision of safety performance;
- Authorisation for placing subsystems in service.
The audit protocols were used to assess the three processes. The protocols are divided into the three audited activities.
Each activity is split into a number of stages, which cover the process from start to finish. The protocols have three key elements:
- The requirement identifiers which are the individual requirements for each activity;
- A status for each requirement identifier, which indicates at which degree there is sufficient evidence that the requirement identifier is fulfilled;
- A comment for each requirement identifier which is a short summary of key information to support its status.
Each set of protocols is split in 5 levels:
- Purpose achieved (the desired output is delivered without having identify desired inputs/ outputs, resource requirements, etc);
- Performance managed (requirements of inputs/ outputs are identified and reviewed, activities are planned and performance is monitored, responsibilities are defined, resources are identified and are made available);
- Process established (a standard process is defined and implemented, the required competencies are identified, personnel performing process is competent, process efficiency is monitored);
- Process controlled (measurement results are used to ensure that process performance supports defined business goals);
- Process improved (process improvement opportunities are identified based on innovation and good practice).
Audit final report ORR \<page_number>1\</page_number> 4540927 Audit final report
**4 RESULT OF THE CROSS AUDIT**
**4.1 Safety certification and safety authorisation**
ORR’s procedure for safety certification/safety authorization is in line with the steps described in the safety certification/safety authorization protocol. ORR:
- has a system to receive applications for safety certification and safety authorisation;
- undertakes the first screen of applications and checks if all the required information is included in the application;
- undertakes the initial assessment to determine whether they are deficiencies in the content of the application serious enough for it, not to be worth spending further time on;
- undertakes the formal assessment to determine compliance against the assessment criteria;
- records and confirms its final decision.
The objectives of the assessment are: a) to determine whether the SMS meets the requirements of the national legislation and demonstrates the applicant’s organizational capability to operate safely; b) to identify points for later inspection after issue of the safety certificate/ safety authorization, during the supervision.
**Receive application for safety certification or safety authorisation and first screen of application** ORR provides guidance to the applicants to understand the requirements for a safety certification/safety authorization application in many ways e.g.:
- a number of documents are available on the web site:
- o the relevant legislation and guidance to the requirements of the legislation “A guide to ROGS”;
- o the “assessment criteria for safety certificate and authorization applications for mainline railways”. This manual describes each criterion and a summary with a list of evidence the applicant is expected to cover;
- o the “HM Railway Inspectorate safety certificate and authorization assessment manual” is available which provides detailed information on the assessment process.
- the Account Holder informs the applicant on what is expected from the application before the submission of the application. In the cases of a certificate/ authorisation renewal there was evidence that Account Holders had explained to the applicant the changes in the assessment criteria since the previous application.
- during the assessment in case of identified deficiencies the applicant is informed as soon as possible: the lead assessor documents to the applicant what information is required, by making reference to the relevant assessment criterion.
- after the formal assessment a meeting is organized with the applicant where ORR specifies with the applicant what is required by him, agrees with the applicant on what further actions are required and specifies the timeframe for the compliance.
All decisions are recorded in COIN/Mosaic.
The ORR procedure for safety certification/safety authorization assessment sets deadlines for the intermediate steps of the assessment process. The ORR manual foresees “the assessment plan calculator” and the “assessment checklist”, which both help the lead assessor and the Assessment Manager (Account Manager) to monitor the progress of the assessment. ORR could not provide evidence that both of these practices are continuously followed in all cases; the “assessment checklist” according to the manual is not
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mandatory. There are other means with which the lead assessor informs the Account Manager on the progress of the applications: the monthly meetings. In addition, the audit team was informed that the lead assessor regularly briefs the Account Manager on the progress of an assessment during informal discussions.
ORR should consider making the use of the template "assessment checklist" obligatory. This will enable the Account Manager and ORR organisation better to follow the assessment process of safety certificates/safety authorisations.
At the time of the audit some roles and responsibilities which are mentioned in the assessment manual do not correspond to the current ORR organogram (e.g. Head of Inspection). When updating the manual ORR should ensure that it reflects the actual structure of the organisation. This will define clear roles and responsibilities and avoid confusions during the implementation of the manual.
Initial assessment of the application for deciding on the sufficiency of the application
Currently ORR uses the 3rd version of the "HM Railway Inspectorate safety certificate and authorization assessment manual", the first version was published in 2006. ORR's assessment criteria are in line with Regulations 1158/2010 & 1169/2010. ORR revised the assessment criteria after these regulations came into force in 2011.
The Account Manager is responsible for managing the application. The Account Manager knows the date of an application by monitoring the expiry dates of the safety certificates/safety authorisations and by information from the Account Holder during his/her inspections and his/her routine contacts with the RU/IMs. When an application is submitted the Account Manager appoints the lead assessor who will undertake the assessment. The lead assessor is responsible for managing all the steps of the assessment. The role of the lead assessor is usually combined with the role of the Account Holder for the specific RU or IM.
The ORR assessment manual makes distinction between major and minor deficiencies, although in the cases which were reviewed there was no such distinction.
Formal assessment of the application
ORR is independent in its decisions of RU/IM/ affected parties. ORR provides the opportunity to the affected parties to make representation to ORR after the submission of an application. The lead assessor collects all the points raised by the affected parties and takes them into account for the assessment.
ORR applications for safety certificates part A and B are in line with Regulation 653/2007. Part A and Part B are assessed and issued together. The assessment of applications for part B certificates is limited to annex III of Commission Regulation 1158/2010. ORR liaises with the NSA Channel Tunnel for part B safety certificates cases.
The interviewees who undertake safety certification/safety authorization assessment have a wide experience in Safety Management Systems, Occupational Health and Safety, auditing experience. Furthermore, in some cases ORR assigns experts who undertake the formal assessment of particular topics of the SMS: for example risk assessment expert, issues related to interoperability, level crossings (this was the case in the renewal of Network Rail safety authorization). The lead assessors who were interviewed knew the latest version of the assessment procedure, have used the templates during the assessment and have participated in a training session in June 2011, after the latest changes of the assessment criteria.
ORR performs quality checks at the end of the assessment. ORR very much relies on the detailed assessment manual, the guidance with the assessment criteria and the competence of the staff undertaking assessment of safety certification/safety authorization applications. The final check includes a review of the entire application, the quality check of the decisions taken in each step and a check if the process has been followed. In one case, a safety certificate which was the first assessment for the lead assessor, there was evidence of quality checks undertaken by the Account Manager at the end of each step of the assessment.
Although national legislation gives ORR a possibility to reset four months period after receipt of supplementary information, it is ORR's policy to meet four-month deadline (from end of...)
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period allowed for representations) without resetting the clock. In the cases which were reviewed by the audit team ORR's final decision was within 4 months of receipt of the application.
**Recording and confirmation of final decision**
All decisions taken by ORR at the end of each step of the assessment are recorded in COIN/Mosaic (templates: F1S1, F1S2, F2). Furthermore, these templates are also available inside the folder of the application in hard copy. ORR justifies its decisions based on factual evidence from the information included in the application. The lead assessor links each decision to the relevant assessment criterion to ensure applicants understand the reasons for decisions, providing clear reasons why it is not fulfilled and explaining to the applicant what additional information is required. ORR assessment is undertaken at management system level, taking into account the risks, the character and the extent of the operation.
ORR issues safety certificates using the format of the Commission Regulation (EC) No 653/2007. The validity of the safety certificates do not exceed 5 years, the type and extend of operation is clearly mentioned and a unique EU Identification Number is given. The safety certificates are notified to ERADIS database and the safety authorisations to ERA Safety Unit. ORR has replaced all safety certificates which were issued according to Directive 2001/14/EC.
As part of the formal assessment the lead assessor specifies the areas for follow up inspection after issue of the safety certificate/safety authorisation. These issues are taken into account for the implementation of the supervision plan.
ORR decisions are subject to judicial review. There is a process for appeals on ORR decisions which is made available to the applicants.
ORR is going to act as certification body for the ECM certificates. For that, some preparation has already been made:
- A number of documents are available on its web site:
- The updated guidance to ROGS,
- A summary guide for applicants,
- The assessment criteria and guidance manual,
- The engineering plans for ECM certificates,
- The application form.
- The "consultation group for entities in charge of maintenance" workshop has been organized with the sector,
- A trial assessment has been organised,
- At the moment the management of ORR is working to ensure that ORR will have the required resources. A training programme will be organised for the relevant staff.
ORR has an internal auditable procedure related to safety certification/safety authorization with clear steps, the "HM Railway Inspectorate safety certificate and authorization assessment manual" (first published version was in 2006). The procedure covers the ORR policy and principles for assessing an application for:
- Issuing/ amending/ renew/ revoke a safety certificate/safety authorisation,
- the quality monitoring and improvement arrangements of the assessment process,
- the performance standards, the roles/responsibilities,
- the assessment process in detail,
- the process assurance and the final decision,
- the notification of the final decision,
- rules for exceptions,
- the procedure for appeals of ORR decisions
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**4.2 Supervision**
**Setting up the supervision activity**
ORR has developed a strategy (ORR business plan) and plan (annual work plan) for taking forward the supervision activities for checking the safety certificate/authorisation, that the sub-systems are operated and maintained in accordance with the essential requirements including monitoring, promoting, enforcing and developing the regulatory framework. ORR business plan and annual work plan shows how ORR manages its supervision activities. ORR aim to achieve excellence in safety culture and management because it is an essential element of their strategy as they seek to ensure a zero tolerance to industry-caused passenger, workforce and public fatalities, whilst ever decreasing overall safety risk. There is also an increasing number of incidents occurring here, management ensure the industry’s approach demonstrates good practice and also contributes to increased efficiency.
As a key driver of the supervision strategy, ORR analyses risks across the GB Railways and set down areas of priority risk in ORR’s strategy for health and safety risks [http://www.rail-reg.gov.uk/upload/pdf/orr-safety-riskstrategy.pdf]. The supervision strategy and plan also takes into account existing information from inspections/audits/authorisations/monitoring by supervisors, the incident reporting systems and other sources such as incidence and accident investigations, NIB [Rail Accident Investigation Branch (RAIB)] recommendations, Rail Safety and Standards Board (RSSB) recommendations and the outcomes of their risk model and complaints from the duty holders. The supervision plan is mainly driven through the elements of the SMS i.e. over 5 years ORR plans to inspect all SMS elements. ORR plans its activities using information collected from the safety certification/authorisation assessment process, but not from the authorisation to place into service processes. ORR should consider incorporating supervision of projects that have been awarded an authorisation for placing in service.
ORR has sufficient resources and allocated staff to undertake the supervision tasks and activities. Usually, there are about 2 – 4 inspections/audits of each duty holder per year. There is a significant resource difference between inspections and audits.
ORR supervision activities are prioritised using 3 priority levels (low, medium, high). These levels are established using a risk based approach. ORR also has established internal procedures for agreement within ORR for the supervision plan. ORR has discussed and agreed the priorities with staff involved in the safety certification/authorization assessment, authorisation to place into service and supervision activities to ensure that all key information has been taken into account.
ORR has a method (annual work plan and internal procedures) for deciding how the supervision activity will be developed, including the estimation of required resources. ORR uses its limited resources effectively, so it takes into account the risks of the operators on the network against the available staff, their time and budget. Usually every ORR inspector has about 100 days for supervision activities. There is a time management system, when the supervision plan is planned. Thus, every audit/inspection is defined for a time period and how many working days inspector needs to do the audit/inspection. Inspectors use rolling stock, infrastructure and etc. experts from other ORR departments. Mostly, one inspector is responsible for 2 – 4 duty holders. During the inspection/audit normally there are 1-2 inspectors.
ORR ensures that the supervision plan includes the identification of key risk activities (9 steps program in business plan). ORR has information from the inspections/audits of the RUs/IMs safety management systems (RM3 model, inspection/audit reports and annual strength & weakness reports) which highlights whether they have any concerns on how they are managing the safety risks.
ORR ensures that the supervision activity sets out how the overview of the effectiveness of the regulatory framework will be delivered (business plan). ORR:
- monitors through inspections/audits,
- promotes through guidance/manuals/workshops,
- enforces through prohibitions notices/improvement notices/prosecutions and
- develops the Regulatory framework through reviews and recommendations to the Member State (Department for Transport) on how the regulatory framework can be reviewed.
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ORR has an internal method which sets out an estimate of the number of supervision activities in the supervision plan. ORR identifies the numbers of activities and what they relate to (e.g. inspections/audits/NIB recommendations/enforcement/follow up checks). ORR also relates each supervision activity to their key risk activities.
ORR has plans to co-ordinate with other competent authorities such as RSSB and RAIB, the UK National Investigation Body. However, ORR has not developed their co-operation arrangements with other NSAs (except for Channel Tunnel Safety Authority). This cooperation could relate to discussing Part B safety certificates with an NSA who issued a Part A safety certificates and understanding any concerns/issues that have been identified by that NSA (e.g. Eurostar, DB Schenker).
ORR ensures feedback for reviewing the supervision plan. ORR review the supervision plan and take into account any changes that may arise following their supervision activities (e.g. complaints/investigations). Every year ORR looks at RU/IM SMS, ORR business plan, all information regarding particular RU/IM and decides what to audit/inspect during the annual year.
ORR has developed a structured and auditable process for the setting up and agreeing the plan and priorities. ORR has a clear and structured set of processes applied by all the staff. The decision making is consistent, transparent and targeted.
The process should be consistently applied throughout the organisation. The assessment process should be periodically internally reviewed to ensure its continued effectiveness and efficiency. This should also cover whether the process can be followed and ORR undertakes checks to ensure that staff are following it. However, so far the supervision process has not been periodically internally reviewed. Only a line management quality check is done to ensure that staff are following the assessment process. Thus, ORR should consider introducing a formal procedure for reviewing the supervision activities. This notwithstanding ORR is currently developing a quality control programme for supervision activities in their Network Rail unit.
**Communicating and delivering the plan**
ORR delivers the supervision activity according to the plan. ORR has internal monitoring procedures for ensuring that the supervision activities identified are implemented. There could be changes in the supervision plan because of limited time caused by other responsibilities: investigation, complaint etc. If the supervision activity is not implemented, it is postponed to the next year’s supervision plan with higher priority. ORR does actually take the action it said it will do, particularly in ensuring that the safety performance of the railway system is maintained. Mostly the supervision plan is delivered as planned.
ORR is independent in its organisation, legal structure and decision making from the RU, IM and procurement entity.
ORR is free to carry out all its tasks and is granted access to all necessary documents, premises, installations and equipment of RUs/IMs (Health & Safety at Work etc Act 1974). Every ORR inspector has a warrant.
ORR decisions are subject to judicial review (The Employment Tribunals, Courts).
ORR has allocated staff and resources to undertake the supervision task.
ORR undertakes enforcement activity with clear justifiable reasons. ORR has a system (Enforcement Management Model) which determines the decision to take any enforcement action such as enforcement notice and/or prosecutions (ranging from the provision of advice to enforcement notices). Generally if there is an issue, there is dialogue with the duty holder. Mostly inspectors issues improvement notices. Inspectors issue improvement notices regarding compliance with the law provisions (e.g. ROGS), improvement notices or other enforcement notice usually expire after 3 months.
ORR has decision making criteria explaining how it deals with non-compliances which are publicly available. ORR has information made available to both RUs/IMs on what they can expect following findings of non-compliances and what the time frame should be. ORR expectations and non-compliances are discussed with the duty holder. The inspector decides the time frame for remedial actions, which is a minimum of 3 weeks, maximum – unlimited. Inspector can extend the improvement notice, if there are justified reasons.
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If the duty holder fails to comply, then the inspector has to prosecute. Details of non-compliances are written in improvement notices. ORR undertakes enforcement activity in line with published decision making criteria, including transparency criteria. ORR has a system for making decisions to take any enforcement action, including transparent criteria. In particular any proposed enforcement action is proportionate to the risk.
Stakeholders are clear of what is required of them and what they can expect from ORR. ORR has published and made freely available clear and transparent information on what a RU and IM need to do in relation to an identified risks or safety concern. ORR also keeps records of their advice and requirements to RUs/IMs.
ORR has a structured system for recording and reviewing the supervision activities, how these relate to the risks of the operation and ensuring that safety performance is maintained. ORR has a document management system where they record the supervision activities (Coin, Mosaic).
ORR records communications, meetings, reviews and corrective actions. ORR keeps records of how it communicated with the RUs/IMs (on Coin, Mosaic). In particular, how ORR communicated any necessary and specific corrective action to the RU/IM. ORR has regular 3 – 4 liaison meetings per year with each duty holder.
The quality of ORR action is monitored and reviewed. There is a line management form of quality check of the work/decisions undertaken. This is structured but relates to checking only the intermediate outputs instead of monitoring the process as such. Also there was a quality check (peer review) of issued improvement notices by inspectors to duty holders.
There are means for applicants to appeal against any decision made by ORR and this is communicated to the RU/IM. ORR appeals process is a national legal requirement. ORR informs the RU/IM what subsequent action is taken in relation to the appeal and this is communicated.
ORR uses competent staff. The tasks are undertaken by suitably competent persons with the necessary skills, experience, knowledge and training.
The quality of the outputs & decisions are monitored at key stages. There is a line management form of quality check of the supervision activity and this is followed through from identification of the safety risk/concern through to the necessary action undertaken.
There is guidance for staff on the delivery of the plan. ORR demonstrated that guidance and/or work instructions have been provided to all staff undertaking the supervision activities of what is required of them.
ORR promotes and explains the regulatory framework. ORR has their system for promoting the regulatory framework in cooperation with the Department for Transport.
ORR provides communication to stakeholders on the wider objectives of supervision. ORR communicates the objectives of their supervision activity to RUs/IMs i.e. what they are trying to achieve and how.
ORR does not undertake Assessment Body for CSM on risk assessment or DeBo (assessing NNTRs for Interoperability). Thus, there is no potential for a conflict of interest. However, ORR undertakes other activity which is not part of the Safety Directive – ORR is the Regulatory body, but decisions within ORR are made separately.
Outcomes of the supervision plan
ORR shares results with the RU/IM (verbally or in writing) regarding the effectiveness of their SMS. ORR informs RUs/IMs of its review of their SMS. ORR is encouraging RUs/IMs to adopt best practice and achieve excellence by applying the RM3 model (management maturity model, good practice). ORR could also consider indicating SMS criteria requirements in ORR RM3 inspection/audit reports to duty holders in order to clarify cross reference between RM3 and SMS.
Sufficient resources are available and used. ORR has allocated staff to undertake the task and this is part of their job description.
ORR deals with areas of non-compliance using its decision making criteria after the RU/IM has developed and implemented action plans to remedy non-compliances. ORR also monitors the corrective actions that
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the RU/IM has undertaken. In particular, any necessary changes to the RUs/IMs SMS (RM3 audit/inspection). ORR also does follow up inspections after RU/IM implement action plans to remedy non-compliances. Duty holders are informed that they complied with the requirements of improvement notices. All non-compliances of RU/IM SMS are addressed immediately in the particular SMS audit. ORR has an overview of overall safety performance in the Member State. ORR monitors the overall safety performance of the rail network.
The quality of the outputs & decisions are monitored at key stages. There is a line management form of quality check of the supervision activity and this includes ensuring that identification of a safety risk/concern is followed through to checking that necessary action is undertaken.
**Reviewing supervision activities**
ORR assesses the suitability and sufficiency of the supervision activities. ORR reviews and revises their supervision activities in particular to ensure that action is targeted at the areas which create the most risks. Sufficient resources are available and used. ORR has allocated staff to undertake the task and this is part of their job. ORR also has sufficient resources to undertake the tasks. ORR has a system for checking the outcomes of each of the activities i.e. whether the activities have had the desired result in maintaining the safety performance. There is an internal process for making changes based on the results. The outcomes of each of the supervision activities are reported in the audit/inspection reports and in the annual strength & weakness reports of supervision activities of particular RU/IM.
There is a process for ORR to make any necessary recommendations to the Member State to overcome any deficiencies in the regulatory framework. ORR communicates to the MS any problems that they have found with the current regulatory framework and what improvements, if any, should be made. The Department for Transport is responsible for drafting national legislation, but ORR is always involved in consultation processes.
Information shared between NSAs should be taken into account. ORR could not provide evidence of how they systematically take into account any information from other NSAs, in their supervision activities including revising the types of activities it risks have increased.
There is a means by which relevant information is taken on from stakeholders. ORR systematically takes into account any complaint from RUs/IMs or any risks/problems identified by them if they can adversely affect the safety performance of the rail system. Stakeholders concerns are addressed during the supervision. Also there is an Advisory group established between ORR and the stakeholders which meets twice per year.
The quality of ORR action is monitored and reviewed. There is a line management form of quality check of the process review and this includes ensuring that identification of a concern is followed through to checking that necessary action is undertaken.
Review should be undertaken of all supervision activities, including both planned and unplanned to assess whether resources are correctly allocated. ORR has a clear and structured process for how it undertakes the review of all its activities, including taking into account any risks identified during the supervision activity. ORR also provided evidence of how they allocate resources if there are additional areas which require effort.
Recommendations and/or lessons learned from accidents are taken into account and implemented in the revised supervision plan. ORR takes into account recommendations and lessons learned from accidents both from recommendations from NIB and notifications from RUs/IMs.
**Linking supervision plan to the reassessment**
The results from the supervision activity should be linked to the reassessment of safety certificates/ the issuing of authorisations and the prioritisation of those activities. ORR does not take into account any information on the safety performance of the RUs/IMs into any amendment or replacement of safety certificates/authorisations. ORR does the reassessment only by checking the SMS through the assessment
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criteria (EU regulation 1158/2010 and 1169/2010). All results from the supervision activities are dealt at that time of the audit i.e. then the reassessment is done, SMS is completely checked in supervision and all necessary changes in the SMS are implemented during audit of SMS.
There is a means of communication between the staff responsible for supervision and those for assessment. ORR staff involved in the different activities share key information which could affect the decisions in the activities. In most cases, the same person is responsible for assessment of SCA and taking the SP activities. However, ORR should consider having a consistent method of hand over when the account holder changes. There were 2 different cases of hand over observed: in one case there was overlapping of 4 months, whereas in another case there was no overlapping at all. The new account holder who assessed the application for the safety certificate renewal was not informed by previous account holder about the remedial actions the RU has done after an accident which took place some months before the application of the certificate renewal.
There is a process for recording communications, meetings, reviews and corrective actions. ORR has records of how it managed communications with the RUs/IMs. In particular, how ORR communicated any necessary and specific corrective action.
Corrective actions are agreed and closed out. ORR ensures that the corrective actions that the RU/IM has been asked to undertake have been closed out.
ORR should co-operate and co-ordinate with other NSAs, where appropriate. ORR is participating at the NSAs Network meetings, ERA working groups and ILGGR (informal cooperation of NSAs). However, ORR should consider developing co-operation arrangements with other NSAs in terms of supervision activities. This should cover discussing Part B certificates with the relevant Part A-issuing NSA and understanding any concerns/issues that have been identified by that NSA. It should also cover issues where there are breaches of safety requirements and how any action will be co-ordinated across a number of NSAs or other competent authorities (i.e. those responsible for the health and safety of those who work in the rail sector).
The quality of ORR action is monitored and reviewed. There is a quality check of how successfully supervision activity is linked to reassessment., although this could be better explained in the ORR manual.
There is a process for applicants appealing against any decision made by ORR and this is communicated to the RU/IM. ORR has an appeal process which is a national legal requirement. ORR informs the RU/IM, what subsequent action was taken in relation to the appeal and how each step is communicated.
**4.3 Authorisation for placing subsystems in service**
The Department for Transport (Department for Transport) is the policy lead for interoperability in the UK. The Interoperability and Standards Team parallels this role for ORR.
Authorisation for placing in service is regulated in the UK by the Railways (Interoperability) Regulations 2011 No: 3066 (Department for Transport 0D416) (RIR).
In the case of major upgrades and renewals it is the role of Department for Transport to decide if and when an authorisation is needed, Department for Transport can consult ORR in this process. Due to different reasons the number of application for authorisation for both infrastructure subsystems and for vehicles are relatively low.
ORR has been given the powers to enforce the RIR and it is Railway Planning and Performance engineers - working with assessing applications for authorisation.
The audit did not include activities outside ORR, thus activities under the responsibility of Department for Transport have not been assessed and is not included in this report.
ORR published the draft of National Legal Framework to facilitate applicants to know about the rules in UK ORR takes part in BeNeFluCh Geographical Interest Group works whose task is categorization of the national technical rules applicable in APS process.
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**Receive complete application from the applicant for an authorisation to place into service**
ORR has a policy for early involvement in project for authorisation to place into service, this is to avoid surprises and delays caused by the approval process. In the cases reviewed during the audit there was extensive evidence of communication with both the applicant and the notified body (NoBo) in question prior to the actual application.
ORR provides guidance for the applicants in published guidance and in direct communication in the early stages of the project.
The persons involved in the assessment of the applications have had internal training and extensive guidance is available.
**Screen of application for authorisation**
As a tool to secure a full and uniform level of screening of the applications ORR has developed a checklist for the entire process (Recommendation pro forma for authorisation for placing in service (APIS)). To support this one of the interviewees had developed a checklist to ensure that all the required documentation for On-board GSM-R authorizations has been submitted.
The different authorisation possibilities are defined in RIR, but only a few have been in use until now. All documentation and decisions are registered (COIN/Mosaic).
In the reviewed cases, ORR had been involved at an early stage, securing the application was complete at the time of applying. This, in fact, also provided a very smooth and fast assessment of the applications.
**Authorisation to place into service**
ORR is independent in its decision making from the contracting entity. This is supported both in the legal status of ORR and the organisation of the authorisation process.
Due to the early involvement the contacting entity is readily informed if further information is needed.
In all the cases reviewed, the decisions taken by ORR were well-argued and proportional.
The time frame for assessment counted from the time of receiving the application to the time for granting the authorisation for placing in service was from 1 day to 4 weeks in the reviewed cases. Generally it only takes a few days, indicating that even though the assessors were busy the allocated resources for this task seemed sufficient.
In all the cases reviewed there was evidence of applying the rules from TSI’s and NNTR using the pro forma. There were not, in any of the reviewed cases, signs of demands outside these rules.
ORR does not act as an assessment body for CSM on risk assessment or designated body for assessing notified national technical rules (NNTR).
To facilitate the application and authorisation process ORR has, in association with the industry, encouraged the development of the use of generic technical files through NB Rail and the RFU process.
**Additional authorisations to place vehicles into service**
RIR contains rules applicable for additional authorisation, but there were not any examples of an application for this.
ORR could not demonstrate that criteria defining a substantial safety risk has been identified.
**Recording and confirmation to the applicant of the final decision on authorisation to place into service**
The process for finalizing the authorisation for placing in service is documented and followed as intended in all the reviewed cases. This includes the notification to the National Vehicle Register, which is performed by the administrative staff.
Issues that are relevant for supervision activities are identified, but there was no evidence of process or examples that this actually takes place. The quality of the output and decisions are monitored, but the process of authorisation for placing in service is not assessed and evaluated in a systematic way.
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**4.4 Conclusions on the business level**
ORR has established a Competence Management System (CMS). The CMS includes required competences for SCA/SP activities, but not for APS. The competence criteria are taken into account for the selection and recruitment of the ORR staff.
There are training plans in place for all staff and internal training is established e.g. RM3, SMS criteria. The CMS includes annual self-assessment review for all staff. ORR has an IT system for self-assessment questionnaire (good practice). ORR has very detailed competence requirements for inspectors carrying out inspections. So far, there is not a process for the ORR to verify the effectiveness of the CMS.
ORR has established project activities together with the industry e.g. staff from Network Rail come to the ORR for 5 months. When they have accomplished the project, they go back to Network rail. This works also the other way around.
The ORR does not undertake Assessment Body for CSM on risk assessment or DeBo (assessing NNTRs for Interoperability). Thus, there is no potential for a conflict of interest. However, the ORR undertakes other activity which is not part of the Safety Directive – the ORR is the Regulatory body, but decisions within the ORR are made separately.
In matters concerning regulation ORR Interoperability and Standards Team has a close cooperation with Department for Transport, who represent the Member State regarding interoperability. This cooperation ensures that if any non-compliance with essential requirements should be revealed the Commission would be notified.
The three processes should be periodically internally reviewed to ensure their continued effectiveness and efficiency. This should also cover whether the process can be followed and that ORR undertakes checks to ensure that staff are following it. However, so far the processes have not been periodically internally reviewed. Nevertheless, ORR has taken measures to ensure that the 3 processes are applied consistently within its organisation: Line management quality checks are undertaken to ensure that staff are following the assessment process. There have been peer reviews conducted, but there is no formal written procedure for internal audit or other form of high level evaluation of these three processes. This notwithstanding the ORR is currently developing a quality control programme for supervision activities in their Network rail unit.
ORR is working closely with Department for Transport. The Department for Transport drafts laws, but ORR is consulted.
ORR does reviews of the regulatory framework to remove unnecessary administrative burdens. ORR has consultations with the stakeholders to secure that the legal requirements are reasonable and necessary.
Mostly impact assessment is done and there should be justified reasons whether legal requirements are necessary. An advisory group has been established and meets twice per year (ORR and stakeholders). Supervision regularly discussed within the ORR e.g. RM3 findings are reported to the ORR board. Also, there is a Safety regulatory committee.
ORR has a long term vision settled in the strategy that nobody gets killed and health problems and injuries are continuously reduced within the railway. ORR wants industry to be excellent in the management of safety risks and the management of business. For this purpose ORR has developed the RM3 model to assess management capability in the industry. The model is used to evaluate the performance of a company compared to a set of criteria tailored specifically for the railways.
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**5 FINAL CONCLUSION**
Based on factual evidence which was made available during the on-site audit the audit team reaches the following conclusion:
ORR is carrying out its tasks required by the article 16.2 of the Safety Directive in an open, non-discriminatory and transparent way. In particular ORR has a range of procedures and guidance in place to deliver the tasks of a NSA set out in article 16.2 of the Safety directive.
This audit report does not provide a maturity level of each audited process as requested in the cross-audit manual version 07. The audit team believes that a cross-audit is a learning process for both the auditee and the audit team and what is most important is to highlight the strengths of the audited NSA and the scope for improvement items, which will be used by the auditee for further improvement of its processes.
**6 Confidentiality statement**
The intermediate audit report has been developed for the purpose of the audit of ORR. All the included information should remain confidential within the audit team and the recipients of the report. For this reason, after its revision by the APM, the intermediate audit report is disclosed to the audited contact person. Then, the audited contact person shall submit the report to the recipients of the distribution list, provided by the audited NSA [annex VI].
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Table of annexes
<table>
<tr>
<td>Number</td>
<td>Description of the Annexes</td>
</tr>
<tr>
<td>I</td>
<td>List of attendants in the kick-off meeting, entry meeting & closing meeting</td>
</tr>
<tr>
<td>II</td>
<td>Audit plan</td>
</tr>
<tr>
<td>III</td>
<td>Completed cross-audit protocols</td>
</tr>
<tr>
<td>IV</td>
<td>List of conducted interviews</td>
</tr>
<tr>
<td>V</td>
<td>Communication of the audit interim report</td>
</tr>
<tr>
<td>VI</td>
<td>Table with abbreviations</td>
</tr>
</table>
Audit final report ORR \<page_number>31\</page_number> 4540927 Audit final report
**Annex I: List of attendants**
The attendants at the Kick-off meeting are listed here [KOM] The attendants at the Entry meeting are listed here [Entry] The attendants at the closing meeting are listed here [Closing] The audit team members are listed here [Audit team]
Audit final report ORR \<page_number>22\</page_number> 4540927 Audit final report
**Annex II: Audit plan**
You can see the audit plan here [Audit plan]
Audit final report ORR \<page_number>21\</page_number> 4540927 Audit final report
**Annex IV: List of conducted interviews**
<table>
<tr>
<td>Item</td>
<td>Location</td>
<td>Interviewee</td>
<td>Audit team</td>
<td>Date</td>
</tr>
<tr>
<td>Safety certification/authorisation, processes</td>
<td>London</td>
<td>ORR 1</td>
<td>A</td>
<td>18/06/2012</td>
</tr>
<tr>
<td>Authorisation for placing in service, processes</td>
<td>London</td>
<td>ORR 2</td>
<td>A1</td>
<td>18/06/2012</td>
</tr>
<tr>
<td>Case: Safety authorisation, Infrastructure manager</td>
<td>London</td>
<td>ORR 3</td>
<td>A2</td>
<td>18/06/2012</td>
</tr>
<tr>
<td>Case: Safety certification, railway undertaking, freight</td>
<td>York</td>
<td>ORR 4</td>
<td>A1</td>
<td>19/06/2012</td>
</tr>
<tr>
<td>Case: Supervision, Infrastructure manager</td>
<td>York</td>
<td>ORR 5</td>
<td>A1</td>
<td>19/06/2012</td>
</tr>
<tr>
<td>Case: Authorisation for placing in service</td>
<td>York</td>
<td>ORR 6</td>
<td>A1</td>
<td>19/06/2012</td>
</tr>
<tr>
<td>Case: Authorisation for placing in service</td>
<td>York</td>
<td>ORR 7</td>
<td>A1</td>
<td>19/06/2012</td>
</tr>
<tr>
<td>Case: Safety certification and supervision, railway undertaking</td>
<td>Manchest er</td>
<td>ORR 8</td>
<td>A2</td>
<td>19/06/2012</td>
</tr>
<tr>
<td>Competencies</td>
<td>London</td>
<td>ORR 9</td>
<td>A</td>
<td>20/06/2012</td>
</tr>
<tr>
<td>Case: Safety certification and supervision, railway undertaking</td>
<td>London</td>
<td>ORR 10</td>
<td>A2</td>
<td>20/06/2012</td>
</tr>
<tr>
<td>Case: Safety certification and supervision, railway undertaking</td>
<td>London</td>
<td>ORR 11</td>
<td>A2</td>
<td>20/06/2012</td>
</tr>
<tr>
<td>Case: Supervision, Infrastructure manager</td>
<td>London</td>
<td>ORR 12</td>
<td>A1</td>
<td>20/06/2012</td>
</tr>
<tr>
<td>Case: Supervision, Infrastructure manager</td>
<td>London</td>
<td>ORR 13</td>
<td>A1</td>
<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></table>
A: Adam Owsiainik, Antanas Dubikaitis, Eleni Douvi, Leif Funch A1: Adam Owsiainik, Leif Funch A2: Antanas Dubikaitis, Eleni Douvi
Persons interviewed [Interviewee]
Audit final report ORR \<page_number>34 4540927 \<page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</page_number>\</table Audit final report
**Annex VI: Terms/ abbreviations**
<table>
<tr>
<td>Abbreviation</td>
<td>Meaning</td>
</tr>
<tr>
<td>CSM</td>
<td>Common Safety Method(s)</td>
</tr>
<tr>
<td>CST</td>
<td>Common Safety Targets</td>
</tr>
<tr>
<td>EC</td>
<td>European Community</td>
</tr>
<tr>
<td>EERA</td>
<td>European Railway Agency</td>
</tr>
<tr>
<td>IM</td>
<td>Infrastructure Manager(s)</td>
</tr>
<tr>
<td>IOPD</td>
<td>Interoperability Directive</td>
</tr>
<tr>
<td>ISA</td>
<td>Independent Safety Authority</td>
</tr>
<tr>
<td>NoBo</td>
<td>Notified Body</td>
</tr>
<tr>
<td>DeBo</td>
<td>Designated Body</td>
</tr>
<tr>
<td>NSA</td>
<td>National Safety Authority</td>
</tr>
<tr>
<td>Railway Undertaking(s)</td>
<td></td>
</tr>
<tr>
<td>SD</td>
<td>Railway Safety Directive</td>
</tr>
<tr>
<td>SU</td>
<td>Safety Unit of the European Railway Agency</td>
</tr>
<tr>
<td>TSI</td>
<td>Technical Specifications for Interoperability</td>
</tr>
</table>
Audit final report ORR \<page_number>25\</page_number>
4540927
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|
0294-pdf
|
OFFICIAL FOR PUBLICATION
THE OFFICE OF RAIL AND ROAD 150TH BOARD MEETING 09:00-15:30 TUESDAY 24 JULY 2018 ONE KEMBLE STREET, LONDON WC2B 4AN
Non-executive members: Stephen Glaister (Chair), Tracey Barlow, Anne Heal, Justin McCracken, Michael Luger, Graham Mather, Bob Holland Executive members: Joanna Whittington (Chief Executive), John Larkinson (Director Railway Markets and Economics), Graham Richards (Director Railway Planning and Performance); Ian Prosser (Director Railway Safety). In attendance: Dan Brown (Director Strategy and Policy), Freya Guinness (Director Corporate Operations and Organisational Development) – to item 4, Russell Grossman (Director of Communications), Juliet Lazarus (Director Legal Services and Competition), Tess Sanford (Board Secretary)
Other ORR staff in attendance are shown in the text.
**Item 1** WELCOME AND APOLOGIES FOR ABSENCE
1. The chair welcomed everyone to the meeting. Michael Luger would arrive a little late (10:15) and two members needed to leave shortly before the scheduled end of business.
**Item 2** DECLARATIONS OF INTEREST
2. No new external interests were declared.
3. Graham Richards would recuse himself from discussion of the Timetable Inquiry to avoid any perceived conflict of interest on that item.
**Item 3** APPROVAL OF PREVIOUS MINUTES AND MATTERS ARISING
4. Slight corrections to the circulated minutes were noted to the two sets of minutes (149th meeting and supplemental). The chair would sign updated minutes.
**Item 4:** HEADLINES AND REGULAR REPORTS
5. **Ian Prosser** updated the Board on: progress on investigations into the Sandlands tram incident and funding for the new tram safety standards body; monitoring and action on safety for passengers around the recent timetable disruption; launch of the Chief Inspector’s Annual H&S report; analysis of the recent spike in SPADs reported which would be included in the next report [Action]; and channel tunnel safety issues in relation to the Eleclink project.
6. The board discussed the possible causes of the SPAD spike and the level of anger and concern among passengers as the result of timetable disruption including possible risks with overcrowding in stations.
7. **Graham Richards** reported on the delay in publication of the Roads SoFA and the associated risk to the timetable and HE’s planning.
8. On rail he highlighted the monthly regulated milestones tracker in the report, which showed where NR had met, change controlled or missed enhancement milestones. He described how this was reflected in NR’s scorecards and how the ORR process added transparency. The board commented on the age of
\<page_number>1\</page_number> **OFFICIAL** FOR PUBLICATION
some items on the regulatory escalator and asked if the report could include a picture of the progress of issues over time. [Action] 9. **Freya Guinness** set out the Q1 business plan report and updated the board on current budget pressures, including resource and project re-planning needed as a result of the Timetable Inquiry. ARC had discussed budget pressures the day before and were content with management’s approach to budget risks. 10. **Joanna Whittington** reported on: engagement with Ministers, elected officials and other stakeholders (including in the regions) in relation to the draft determination (DD) and the various annual reports (NR Monitors, Measuring up, etc). She also talked about organisational matters including handling of the London accommodation project and the forthcoming roll out of new mobile devices. 11. **John Larkinson** reported on a submission from Heathrow Southern Railway to DfT on how a non-NR line could be delivered: this was an example of how ORR was supporting the development of fresh thinking by third party investors looking at rail opportunities. He also reported on lower levels of asset sales achieved by NR than forecast at the time of the Hendy Review (as reported in the AEFA¹) and progress by TOCs working with Trainline agreeing the ORR requirement to improve passenger information at point of sale. 12. On **PR18**, John gave a broad picture of responses received so far to the DD and the team’s approach to moving toward a final determination. He described the complex relationship between the sums set out by ORR in the determination and the mechanics of DIT and Treasury planning to deliver actual funding. NR was working on the issues identified in the DD – particularly performance trajectories and asset sustainability – which ORR would then need to review. Work to develop new trajectories continued and would be reported at the September board [Action – forward programme] – certain measures which informed Schedule 8 benchmarks needed to be resolved in the final determination though others need not be finally settled until CP6 starts on 1 April 2019.
**Item 5** **TIMETABLING – NR LICENCE BREACH AND ENFORCEMENT**
13. An investigation into NR’s failure to meet the T-12 industry standard had begun in February. The Board had been minded to find NR in breach of their licence in a discussion on 13 July. The executive had been working up options for enforcement action based on that discussion.
14. John Larkinson set out the immediate context of the issue.
15. ORR had already contributed to de-risking the December 2018 timetable process and this was now NR’s main priority (along with the May 2019 timetable change). It was important not to distract NR from this priority, or to pre-judge or otherwise fetter the outcome of the ORR’s Timetabling Inquiry (TTI). There were some areas for change where ORR could require additional transparency or add urgency to NR’s plans.
16. The proposed areas of intervention/monitoring and resultant reporting covered short, medium and long term improvements and were: a) NR’s process to deliver the December 18 and May 19 timetables must be fair and transparent for operators. ORR would monitor operators’ experience of the process.
¹ Annual efficiency and finance assessment
\<page_number>2\</page_number> OFFICIAL FOR PUBLICATION
b) ORR had already included a 90% increase in resources to improve the System Operator (SO) capability in CP6 but this now needed to start sooner and happen faster. NR should produce an updated accelerated plan and ORR would monitor progress against this.
c) NR need to develop a new plan to return to T-12 as the industry standard and ORR would monitor against the plan.
d) NR would be required to report publicly on who was requiring late changes to the timetable and why – this would add useful transparency.
e) NR had recognised that the interfaces between different parts of its organisation – particularly the system operator, infrastructure projects and routes – were not effective enough: they needed to accelerate work to address these issues urgently.
f) The existing timetabling architecture should be reviewed for immediate improvements.
g) A fundamental review of how timetables are constructed was expected to be undertaken by NR in the medium term, and should take into account recent experience and any recommendations from the TTI.
17. The board recognised the different nature of this statutory process from that of the TTI and discussed the inevitable overlaps of evidence and analysis and their timetables. The TTI was an opportunity to develop a more comprehensive picture of the industry context of NR’s failure, including others’ contributory actions, and had scope for wider ranging recommendations, but the question before the board today was about the specific licence breach.
18. It was clear that NR were already addressing the headline issues but that there was more that ORR felt could be done, and more quickly, by NR to put things right.
19. The board noted the context of ORR’s enforcement policy and penalties statement. Enforcement action should be taken to ensure delivery and secure compliance with public interest obligations and should drive any necessary changes in behaviour of the license holder. Action should be proportionate.
20. The board debated at length the various mechanisms available to it for enforcement and their likely efficacy in securing the desired outcomes. It considered the degree to which it was possible to specify actions now that would secure those outcomes in the future. It discussed what parts of NR needed to be influenced, the level of impact that different types of order might have and at what speed. The board noted that reparations had not been offered by NR in this case. In all cases the board considered the risk that action by ORR could be ineffective or counter-productive. It reflected on its own experience of the effectiveness of existing regulatory tools in enforcing against NR for previous licence breaches.
21. **The board agreed** to find NR in current breach of conditions 1.23 and 2.7 of its network licence in relation to running of an efficient and effective process, reflecting best practice, for establishing a timetable and any changes to it.
22. **The board agreed** the list of issues to be addressed by NR proposed by the executive (briefly set out above in paragraph 16).
23. After a vote (10 for, 1 against(^{2})) **the board agreed** to issue a Final Order later in the year which could draw on the TTI findings to specify effective measures to address this breach.
______________________________________________________________________
(^{2}) The options offered were either Final Order now or Final Order later to be developed in the light of the Timetable Inquiry findings and recommendations.
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24. The board also considered whether to issue a Provisional Order immediately and agreed, after a vote (3 for, 8 against) not to do so.
25. The board debated at length the option of imposing a financial penalty. In considering the potential scale of any penalty it considered its penalties statement noting that the level of harm caused by the failure could support an argument for a penalty at the high end. In line with the policy, the board discussed whether any financial penalty would be effective in adding urgency to the response from NR or in making clearer to the company the seriousness of the regulatory breach. Executive advice was that NR were already taking this issue very seriously.
26. **The board agreed** by vote (9 for, 2 against)¹ not to impose a financial penalty.
27. The board discussed the handling and timing of the decisions it had taken today and agreed they should be notified and made public as soon as practicable.
28. The board noted the relevance of their discussions on effective penalties to the later agenda item on incentives and penalties in CP6 which would inform consultations over the summer.
**Item 6 HIGHWAYS MONITOR – RIS2 ADVICE TO THE SECRETARY OF STATE** Richard Coates and Simon Chapman joined the meeting for this item
29. Richard Coates reported that the publication of the SoFA had been delayed and a revised publication date was not yet confirmed; the document was expected to be high level with most of the detail set out in HE’s strategic business plan. The draft advice had been reviewed by the Highways Committee the day before. The forward programme included another review of this issue by the board in September and the board noted this, asking that it be sufficiently high up the agenda to receive proper attention. [Action: Secretariat]. The board noted that a significant proportion of RIS2 would involve the completion of schemes started at the end of RIS1.
**Item 7 HIGHWAYS MONITOR GOVERNANCE** Richard Coates remained for this item. 30. The paper recognised ORR’s increasing maturity in its executive resource as Highways Monitor and proposed bringing the board sub-committee into line with the other sub committees. This was also part of succession planning for NEDs. Two additional NEDs would be added to add resilience in advance of Tracy Barlow’s end of term in April 2019. 31. The board noted the need to start considering NED recruitment for 2019 [Action: Secretariat] 32. The board approved the proposal and the Chair would discuss with NED members who might take this role on.
**Item 8 COMMUNICATIONS STRATEGY** 33. Russell Grossman introduced the revised strategy in the context of a good past year and a tricky year ahead: he had spoken to board members individually in developing the strategy and thanked them for their contributions.
______________________________________________________________________
¹ The vote was on the proposal that there should be no penalty.
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34. The board discussed the document and the relative prioritisation of audiences. It would be helpful to make sure that MPs understood ORR provides public information about the performance of local rail services and operators.
35. The board agreed the Strategy and particularly the increased focus on parliamentary audiences.
**Item 9** **IMPACT OF BREXIT – INTEROPERABILITY AND STANDARDS**
Agnès Bonnet, Paul Hooper and Gary Taylor joined the meeting for this item
36. The board noted the report which identified key relationships where a post-brexit position needed to be resolved in order to allow cross border services. Risks around different Brexit outcomes were discussed and the volume of parliamentary business in relation to the necessary Statutory Instruments was noted.
37. The board discussed the degree to which ORR’s authorisations process delivered better, safer outcomes for the operators and contractors and noted the case studies which illustrated the value added by the process. It would be important that the new arrangements did not take away the opportunity for ORR intervention at an early stage in the process.
38. The board endorsed the approach being proposed and noted the useful update.
**Item 10** **COMPETITION - TVMS AND GATES**
39. Juliet Lazarus reported on progress on this market investigation. The board would receive a fuller report on the actions proposed at their meeting on 4 September which would enable a decision to be made on CMA referral or ORR actions within the requisite timeframe.
**Item 11** **NR – MONITORING AND ENFORCEMENT POLICY (PR18)**
Liz McLeod joined the meeting for this item.
40. Dan Brown introduced the item which sought Board views to feed into a developing consultation on this issue: he drew out key issues from the earlier debate around NR’s current licence breach. The board discussed the three areas of: financial penalties, regulatory enforcement penalties and ORR hearings. The board welcomed this approach which built on earlier discussion and supported improved incentives for regulators, reflected the public sector nature of NR, supported route devolution and led to credible alternative penalty and enforcement choices that were compliant with the existing statutory framework.
41. The board discussed the issues and agreed the importance of consulting as part of developing our approach. They discussed the various levers available and their likely efficacy, reflecting on the earlier discussion about financial penalties and options here for penalties which impacted management or staff bonus pots. Changes to management and board members was a matter for the Shareholder, but it might be desirable to have a specific channel through which to propose change to him. Concerns about accurate targeting of financial penalties and other challenges were discussed. The Board noted that careful consideration would need to be given to the imposition of regulatory enforcement penalties as that would impact the financial bonuses of all NR staff. The board suggested an additional sanction of ‘public censure’ could be considered, as adopted by HSE.
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The board noted the proposal that reparations should no longer form part of the policy and suggested that staff check that other public sector regulators had not been able to use them effectively before they were removed from the toolkit.
lunch
**Item 12** **TIMETABLE INQUIRY (TTI)** Graham Richards left the room for this item Marcus Clements and Claire Simpson joined the meeting for this item
42. Dan Brown introduced the slides and described progress to date including changes to staffing and resource planning which had resulted from the TTI. Written evidence was still being received although the deadline had now passed. He noted that DIT had been particularly prompt and helpful in their submission. The volume of evidence was such that careful prioritisation would be needed to focus on key decision points. Dan set out the approach to stakeholder evidence, timelimitable for the findings report and current thinking on the recommendations piece. At the moment he anticipated identifying single points of failure for specific actors and systemic weaknesses/aggravating factors that made it worse. It would be important to be clear about what each organisation’s legitimate responsibilities were. The board stressed the importance of understanding what went right in those areas where change had not resulted in passenger disruption.
43.
Marcus Clements described the work being done to inform workstream 1 (passenger impact/harm) 44. At the board’s request, Ian Prosser described progress with the prior involvement review which was stretching back to 2010. No urgent matters had been identified that related to ORR’s role or needed to be brought to the Board’s attention. Graham Mather left the meeting.
**Item 13** **HS1 ANNUAL REPORT** Feras Alshaker joined the meeting for this item 45. Feras Alshaker introduced the report which showed a reduction in asset performance the reasons for which were currently unclear. The board also noted a failure to undertake any renewals as planned. The implications of all these issues would be considered as part of developing PR19. 46. The board noted the report.
**ITEM 14** **PASSENGER IMPACT MODEL** Marcus Clements and Nick Layt joined the meeting for this item 47. The report showed the model used to assess the impact of service disruption and other incidents on passengers. ORR applied the model to determine what level of intervention it should pursue with the train operating company involved. 48. This reflected the need to target the limited resource available to address these issues with the operators. 49. The board noted the report.
Anne Heal left the meeting.
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**ITEM 15 TRANSPORT SELECT COMMITTEE REPORT**
51. Graham Richards reported on a number of select committee inquiries and reports into railways which were being conducted by the Transport Select Committee. The executive would write to the TSC to respond to their suggestion that ORR should review DfT’s capability to assess capital projects.
**ITEM 16 JOINT REPORTING**
This item was deferred to September 25
**ITEM 17 FEEDBACK FROM COMMITTEES**
52. Bob Holland reported on the Internal auditors’ (Mazars) first reports and approach and a full assurance rating for a report on the Board Procedures. The committee had been assured that work on resolving our London accommodation was progressing well. The new independent member had observed the meeting and the Committee had recorded their thanks to Melvyn Neate after six years’ service as the independent member.
53. Stephen Glaister noted that the HC issues had been covered on the main agenda. The committee had endorsed the creation of an expert Highways Panel.
**Item 17 ANY OTHER BUSINESS**
54. The board noted the quarterly risk report circulated below the line and the board forward programme for the rest of 2018.
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0412-pdf
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Disclosure ref: 6 Sent: 13<sup>th</sup> February 2019
<img>CPS logo</img>
**Freedom of Information Act 2000 Request**
*For years 2016, 2017 and 2018 for each police force in England and Wales provide the number of prosecutions that were dropped or discontinued and the reason for the course of action. This should involve cases that the defendant submitted a not guilty plea at a preliminary hearing.*
**Request**
*For years 2016, 2017 and 2018 for each police force in England and Wales provide the number of prosecutions that were dropped or discontinued and the reason for the course of action. For the avoidance of doubt, this should involve cases that the defendant submitted a not guilty plea at a preliminary hearing but for whatever reason, the case against the defendant was stopped BEFORE any judicial determination on his or her guilt.*
**Response**
Please see the attached table which provides the number of prosecutions dropped and the principal reason allocated to that outcome. The table is disaggregated by the 42 police force areas. Please note our records do not provide any indication of the hearing at which a not guilty plea was entered. This data should be read in conjunction with the caveats appended to the table.
**Information Management Unit** 020 3357 0899 IMU@cps.gov.uk
Crown Prosecution Service, Information Management Unit, Floor 8, 102 Petty France, London SW1H 9AJ United Kingdom www.cps.gov.uk
<img>INVESTORS IN PEOPLE logo</img>
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ENGLISH
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0773-pdf
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PLANNING, DESIGN AND ACCESS STATEMENT, INCORPORATING AFFORDABLE HOUSING INFORMATION AND STATEMENT OF COMMUNITY INVOLVEMENT
<img>wyg logo</img>
Equity Housing Group Ltd Land off Church Lane, Rainow
November 2018
www.wyg.com creative minds safe hands DOCUMENT CONTROL
Project: Land off Church Lane, Rainow Client: Equity Housing Group Ltd Job Number: A110756
Document Checking Prepared by: Keith Mellor Signed by: KM Checked by: Mark Walton Signed by: MW
<table>
<thead>
<tr>
<th>Issue</th>
<th>Date</th>
<th>Status</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>5th November 18</td>
<td>Draft</td>
</tr>
<tr>
<td>2</td>
<td></td>
<td>Final</td>
</tr>
</tbody>
</table>
Contact Details: WYG Third Floor 54 Hagley Road Edgbaston Birmingham B16 8PE Tel: 0121 516 5320 Email: mark.walton2@wyg.com CONTENTS
<table>
<thead>
<tr>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>1.0</strong></td>
<td>Introduction</td>
<td>Pg 1</td>
</tr>
<tr>
<td><strong>2.0</strong></td>
<td>Statement of Community Involvement</td>
<td>Pg 3</td>
</tr>
<tr>
<td><strong>3.0</strong></td>
<td>The Application Site and Surroundings</td>
<td>Pg 7</td>
</tr>
<tr>
<td><strong>4.0</strong></td>
<td>The Application Proposals</td>
<td>Pg 12</td>
</tr>
<tr>
<td><strong>5.0</strong></td>
<td>Affordable Housing Information</td>
<td>Pg 17</td>
</tr>
<tr>
<td><strong>6.0</strong></td>
<td>Planning Policy Context</td>
<td>Pg 18</td>
</tr>
<tr>
<td><strong>7.0</strong></td>
<td>Planning Assessment</td>
<td>Pg 33</td>
</tr>
<tr>
<td><strong>8.0</strong></td>
<td>Design and Access Statement</td>
<td>Pg 39</td>
</tr>
<tr>
<td><strong>9.0</strong></td>
<td>Conclusions</td>
<td>Pg 43</td>
</tr>
</tbody>
</table>
Planning, Design and Access Statement www.wyg.com [API_EMPTY_RESPONSE]
# 1.0 INTRODUCTION
**1.1** WYG has been instructed by the applicant, Equity Housing Group Ltd, to prepare a Planning, Design and Access Statement in support of an affordable housing scheme at the Application Site, known as Land off Church Lane, Rainow. The residential scheme will include shared/rented ownership to meet local needs. The houses will be managed by Equity Housing Group Ltd.
**1.2** The application seeks full planning permission for the following development shown on figure 1 below:
"Construction of 9 no. residential units (Use Class C3), comprising 2 no. 1-bedroom flats; 2 no. 2-bedroom dwellings and 2 no. 3-bedroom dwellings for affordable rent, and 3 no.3-bedroom dwellings for shared ownership, creation of new access and associated car parking and landscaping works"
**1.3** The Application Site is shown edged in red on the submitted Site Location Plan (17.2579.109/P2). The Application Site comprises a former horse paddock and coppice, located between The Robin Hood Inn Public House to the south, Smithy Lane to the west, the B5470 Church Lane to the east and Skalpings Track public footpath to the northern boundary.
**1.4** **Application Submission**
**1.5** The planning application is accompanied by the following documentation:
- Completed application forms and ownership certificates
- Existing and Proposed Drawings/Plans
- Transport Statement - 1809-34/TS/01A (TPA)
- Arboricultural Impact Assessment and Method Statement 181034-AIA 2 (ecourban Limited)
- Planning, Design and Access Statement
- Ecological Appraisal – October 2018 (ecosupport)
**1.6** This Planning, Design and Access Statement analyses the Application Site and surrounding area, sets out the planning history and planning policy context for the Application Site, describes the Application Site, describes the proposed development and explains why it is appropriate having regard to the key planning policy and technical considerations. The statement also identifies the site constraints and opportunities, sets out the design principles to be considered and explains the design solution for the site in this context. The Statement also summarises why the proposed development is acceptable in relation to highways, access and parking matters.
______________________________________________________________________
\<page_number>Page | 1\</page_number> www.wyg.com <img>Figure 1 Proposed Site layout</img>
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# 2.0 Statement of Community Involvement
## Pre-Application Advice
**2.1** Pre-application advice was sought in relation to the proposed residential development of the Site. A response was received on the 7th June 2017 from Mark Nuttall, Planner at the Peak District National Park Authority, who highlighted relevant policies from the Local Development Framework and relevant Supplementary Planning Guidance.
**2.2** The Planning officer advised that an application for, or including, market housing on the Site will not be supported but the Site could be developed for affordable housing. The Planning Officer confirmed that the application should be accompanied by evidence of local affordable housing need based on a housing needs survey.
**2.3** Advice on local housing need was sought from Chris Glover, Development Officer, Strategic Housing, Cheshire East Council. Correspondence with Mr Glover, dated, on the 22nd December 2017, confirmed the findings of the Rainow Rural Housing Needs Survey highlighted the need for ten affordable homes with a need for 1, 2 and 3-bedroom dwellings. The housing officer also confirmed that the Council will support a mixed site for both rented and shared ownership with a mix of sized dwellings being provided.
## Rainow Parish Council
**2.4** On the 16th October 2018 representatives from Equity Housing Group and WYG were invited to attend the Rainow Parish Council meeting to present the proposed scheme. The meeting attracted circa 20 local residents.
**2.5** Following the presentation, a questions and answers session took place. The following queries were raised by Members and Local Residents:
- The level of proposed parking is too low and will lead to visitors parking on the ‘main road’ or other roads in the village;
- Access road in the scheme is too narrow;
- Visibility at the access appears to be insufficient – there was general agreement that Church Lane was very busy and that people speed along it;
- How will you ensure there is no obstructions in the visibility splay i.e. parked cars, planting;
- Scheme is too dense – too many houses being proposed – out of character with the area;
- No need for flats within the development;
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- Scheme should include bungalows as there are elderly people in the village who wish to 'downsize';
- No trees should be lost;
- Why can access to the site not be via the Public House land and existing access?;
- No street lights should be installed on the scheme as there is none in the village;
- Complaint against the PH for installing a spot light "without approval" that shines into neighbour's windows;
- Affordable housing will lower property values;
- Will the shared ownership units be affordable;
- The scheme will set a precedent for future development in the village – The Old Chapel car park will be next; and,
**Highway, Parking and Access**
2.6 The proposed parking provision, access road and visibility splays are discussed in detail within the submitted transport statement and confirms the proposals meet current policy guidance and standards.
2.7 Access to the site will be via a new crossover on the B5470 Church Lane. The design of the proposed internal layout has followed the principles of Home Zones, with no demarcation areas for vehicles and pedestrians but shared space between all the street users, which is deemed suitable for the scale of the development.
2.8 Visibility at the Site access has been checked against Manual for Streets specifications for 30mph roads. The access benefits, on either side, from splays in excess of the 43m required by the guidelines. The scheme has been reviewed to ensure no obstructions will occur within the proposed visibility splays.
2.9 In terms of access into the proposed site through the existing Robin Hood Public House access, the public house is not part of or located within the application site and, there is no obligation for the public house to provide access into the proposed scheme. The proposed newly constructed access into and out of the Site provides improved visibility when compared to the existing access to the public house.
2.10 An additional 2 parking spaces for visitor use have been incorporated into the Site following concerns raised at the recent Parish Council meeting by residents.
\<page_number>Page | 4\</page_number> www.wyg.com Tenure, Density and Layout
2.11 The proposal is a rural exception site which will deliver affordable family housing at a density of 42.66 dwellings per hectare, reflecting the smaller size of units proposed, being comparable with similar rural exception schemes. The scheme does not represent over-development of the Site.
2.12 The original scheme for the Site, the subject of pre-application consultation with Cheshire East Councils Housing Strategy Team, proposed solely dwellings. The Housing Officer confirmed that the current Rainow Rural Housing Needs Survey identified that the mix of tenures required in Rainow was 1, 2 and 3-bedroom provision. Based on these comments, the proposed scheme was amended to include two 1-bedroom flats. The inclusion of bungalows into the scheme would not benefit from grant funding, and existing home owners downsizing are unlikely to qualify for shared ownership schemes.
2.13 The proposed scheme will introduce shared ownership affordable housing into the village, enabling people with a local connection who are unable to buy a property to remain in the village, the market values of the housing proposed will remain the same, consequently no impact would occur upon existing property values.
2.14 The proposed scheme will provide nine of the ten affordable dwellings highlighted as being required through the Rainow Rural Housing Needs Survey 2014, unless further affordable housing need is identified then further affordable housing within the village would not be required. The proposed scheme would therefore not be setting a precedent for the development of further schemes within the village, as the National Park Authority has confirmed that market housing will not be permitted in the National Park.
Trees
2.15 In terms of trees, an Arboricultural Implications Assessment and Method Statement has been submitted in support of the application. The assessment confirms that trees on Smithy Lane will be retained and that no Category ‘A’ (High Quality) within the site will be removed. The only trees to be removed or partially removed will be ten trees identified as Category ‘C’ (Low Quality) trees/groups located on the northern Smithy Lane boundary.
Design and Materials
2.16 The proposed materials to be used in the construction of the properties will be in keeping and character with the area, including reconstituted stone throughout the scheme, as a result of local residents’ comments at the recent Parish Council meeting.
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2.17 No proposals are incorporated into the scheme for street lighting. However, if required, lighting could be accomplished through low energy bollard/post lighting. This matter will be considered/determined through the planning process.
2.18 In terms of existing lighting issues at the PH, this is not related to the proposal and is a separate matter.
2.19 Future Engagement
Rainnow Parish Council have indicated a wish for further engagement in the form of a public meeting. In response, the applicants are happy to attend such a meeting post-submission should the Parish Council or Local Planning Authority consider it appropriate.
Page | 6 www.wyg.com 3.0 THE APPLICATION SITE & SURROUNDINGS
3.1 The Application Site is located to the eastern edge of Rainow, near Macclesfield, SK10 5XE. The settlement of Rainow is located within the administrative boundary of Cheshire East Council, the Site however, due to its edge of settlement location is located within the administrative boundary of the Peak District National Park Authority.
3.2 The Site is located within the Peak District National Park and extends to approximately 0.21ha (2108sqm), comprising a former horse paddock and coppice, being bounded by the Robin Hood Inn Public House and car park to the southern boundary, a line of trees along Smithy Lane to the western boundary, the B5470 Church Lane to the eastern boundary and an informal path runs along the northern boundary. The topography of the site falls in a westerly direction by approximately 10 metres, between Church Lane to the east and Smithy Lane to the west.
3.3 The aerial view included as figure 2 below shows the Application Site and its surrounding context. <img>Aerial view showing the Robin Hood Inn Public House and car park, a line of trees along Smithy Lane to the western boundary, the B5470 Church Lane to the eastern boundary and an informal path running along the northern boundary.</img> (Figure 2: Source Google Maps 17/10/18)
Page | 7 www.wyg.com 3.3 Architecturally, the village of Rainow has a diverse townscape with residential properties comprising of a mix of varying sizes and design types including detached, semi-detached and terraced dwellings. Although there is no predominate uniformity in the pattern of development in the local area, the village does have a traditional character with the majority of buildings being constructed of local stone.
3.4 Surrounding buildings include the Robin Hood Inn Public House to the southern boundary of the site, which comprises a small group of traditional stone buildings located on the prominent corner junction of Church Lane and Smithy Lane, all with slate roof, the application site lies north of an associated beer garden. An access/service road runs between the buildings located within the Robin Hood PH site leading to a hard-standing car parking area, to the Church Lane frontage lies an outdoor patio area and seating.
3.5 To the north-east of the Site and fronting the B5470 Church Lane lies a stone built pitched roof residential property, and the ‘Old Chapel’, a converted former Methodist Chapel of office development, which dates back to 1878. An off-road car parking area associated with the Old Chapel with an access off Church Lane, bounds the proposal Site to the north eastern corner with a further residential property beyond.
3.6 To the adjacent western side of Smithy Lane lies a residential estate of detached modern two-storey pitched roof properties. A grassed verge with low level stone walling and vegetation lies to the western side of Smithy Lane and the rear of properties within Millers Meadow beyond.
3.7 The Cheshire East Local Plan Strategy 2010-2030 adopted Policies Map identifies a number of spatial constraints within and surrounding Rainow. None of the specified constraints apply to the Application Site. However, the boundary of the Rainow Conservation Area (Figure 3 below) abuts the southern boundary of the Site. The Conservation Area incorporates the Robin Hood Public House, and to the eastern boundary the B5470 Church Lane. The Conservation Area runs in a southerly direction to both sides of B5470 Church Lane, ending approximately 0.93km to the south, the Conservation Area includes parts of Smithy Lane, Tower Hill and Lamaload Road. Within the Conservation Area lie several Grade II Listed Buildings/structures, including:
- The Stocks;
- The Old Hall;
- Church of the Holy Trinity;
- Pedley Fold Farmhouse;
- The Old Vicarage;
- Rainow Bridge;
- Milbrook Cottage;
- Tower Hill Cottage;
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- Tower Hill Farm;
- Rainow War Memorial Cross and Seat; and,
- Holly Tree Cottage Tower Hill House.
3.8 Two further Conservation Areas are located nearby, known as Ginclough and Kerridge End.
<img>Figure 3 – Rainow Conservation Area: Source maps.cheshire.gov.uk</img>
3.9 The site comprises of a former horse paddock and coppice with a number of mature trees and hedgerow running along the western Smithy Lane boundary. In terms of ecological evaluation, the site overall is considered low – moderate in terms of ecological value with the habitats present of negligible site ecological value.
**Public Transport**
3.10 Public transport bus stops are located to both sides of the B5470 Church Lane, approximately 100 metres south of the Site, linking the Site to the wider area. Two services call at these stops, Route 60, an hourly service Monday to Saturday, linking Hayfield and Macclesfield and, Route 60A, three services per day Monday to Saturday, linking New Mills and Macclesfield. No services are available Sundays. Macclesfield town centre and its numerous services, local shops, large convenience stores, secondary schools and other facilities are accessible within a 10 to 12-minute journey from the Site.
\<page_number>Page | 9\</page_number> www.wyg.com 3.11 Macclesfield railway station is accessible within a 10 to 12-minute journey via bus routes 60 or 60A. The station, currently managed by Virgin Trains, lies on the Stafford to Manchester branch of the West Coast Main Line and connects to the wider rail network.
3.12 From the station, Manchester Piccadilly rail station (to the north) is accessible in approximately 20 minutes, with services every 10 to 15 minutes. To the south, Stafford station is accessible in 35 minutes, with two services per hour.
**Flood Risk**
3.13 According to the Government’s ‘Flood Maps for Planning’, the Application Site is located within Flood Zone 1 and at very low risk (less than 0.1%) of flooding from rivers or the sea and from surface water flooding.
<img>(Figure 4 - Flood Map: Source Flood Map for Planning, November 2018)</img>
\<page_number>Page | 10\</page_number> www.wyg.com <img>(Photograph 3: View of site from south west (Source Google Maps 10/10/18))</img> <img>(Photograph 4: View of site from north east (Source Google Maps 10/10/18))</img>
**Planning History**
3.14 No planning history is identified for the Site on either Cheshire East Council or the Peak District National Park Authority's websites.
\<page_number>Page | 11\</page_number> www.wyg.com **4.0 APPLICATION PROPOSALS**
**4.1** This section considers the proposed use, the amount of development proposed, the layout of the proposed development, the scale of the proposed building, access to the development, landscaping and the appearance of the proposals. The following plans have been submitted with the planning application;
Drawing No. ENC/271117-7AA6-1 – Topographical Survey; Drawing No. ENC/271117-7AA6-2 – Robin Hood Inn Floor Plans; Drawing No. ENC/271117-7AA6-3 – Robin Hood Inn Elevations; Drawing No. ECO1 – Tree Constraints Plan; Drawing No. 17.2579.100/P10 – Proposed Site/Roof Layout; Drawing No. 17.2579.101/P4 – Proposed Floor Plans House’s 1 & 2 Drawing No. 17.2579.102/P4 – Proposed Elevations House’s 1 & 2; Drawing No. 17.2579.103/P4 – Proposed Floor Plans House’s 3, 4 & 5; Drawing No. 17.2579.104/P4 – Proposed Elevations House’s 3, 4 & 5; Drawing No. 17.2579.105/P4 – Proposed Floor Plans House’s 6 & 7; Drawing No. 17.2579.106/P4 – Proposed Elevations House’s 6 & 7; Drawing No. 17.2579.107/P5 – Proposed Floor Plan Apartment’s 1 & 2; Drawing No. 17.2579.108/P4 – Proposed Elevations Apartment’s 1 & 2; Drawing No. 17.2579.109/P2 – Location Plan; Drawing No. 17.2579.110/P4 – Block Plan; Drawing No. 17.2579.111/P1 – Existing Context Elevations; and, Drawing No. 17.2579.112/P4 – Proposed Context Elevations.
**Use**
**4.2** The applicant is seeking to make more efficient use of this underutilised area of land through the development of a small residential development comprising of 9 no. residential units (Use Class C3), comprising 2 no. 1-bedroom flats; 2 no. 2-bedroom dwellings and 2 no. 3-bedroom dwellings for affordable rent, and 3 no.3-bedroom dwellings for shared ownership, creation of new access and associated car parking and landscaping works”. The dwellings will be managed by Equity Housing Group Ltd. The proposal will equate to a housing density of 42.66 dwellings per hectare.
**Amount/Scale**
**4.3** The total area of the Application Site edged red on the submitted Site/Location Plan (17.2579.109/P2), is approximately 0.21 hectares (2108sqm).
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4.4 The Proposed Site Layout Plan (17.2579.100/P8) shows the siting of the proposed dwellings, parking layout and access.
4.5 The proposed residential units will comprise the following:
- Apartment units 1 and 2 (1-bedroom apartments) – Open plan kitchen/dining/living room, bathroom and one bedroom, with footprints of 50sqm and 56sqm.
- Houses 1 and 2 (2-bedroom dwellings) – Kitchen, W.C and living room/dining area to the ground floor and, two bedrooms and family bathroom to the first floor, with a footprint of 72sqm.
- Houses 3, 4, 5, 6 and 7 (3-bedroom dwellings) – Kitchen, W.C., living room/dining area to the ground floor and, three bedrooms and family bathroom to the first floor, with a footprint of 86sqm.
Appearance
4.6 The proposed units will be of traditional appearance, being two-storeys in height with pitched roof and chimney details. Each will include stone elevations under grey concrete roof tile, cream coloured UPVC casement windows, reconstituted stone windows heads and cills, cream UPVC folding doors, cream painted timber fascia/soffit/bargeboards, black UPVC rainwater goods, stained timber front door, cream painted timber entrance canopy and timber decking and steps.
Landscaping/Boundary Treatments
4.7 The seven dwellings will benefit from enclosed grassed rear garden amenity areas, bounded by 1.8-metre-high close board fencing and, the two apartments will benefit from enclosed grassed rear garden amenity area. The site will incorporate new landscaped areas and the planting of three new trees to mitigate the proposed loss of any removed/lost trees or existing landscape features. Enhanced landscaping will be incorporated to the informal footpath running along the northern boundary of the site. The proposed landscape details will improve and soften the visual aesthetics of the proposal site.
Access and Parking
4.8 A Transport Statement has been prepared by Transport Planning Associates to assess the highway and transport impacts that may arise from the application proposals. The proposed development will incorporate a newly formed vehicle cross over access off the B5470 Church Lane.
Page | \<page_number>13\</page_number> www.wyg.com 4.9 The Transport Statement confirms that the Site is located within a predominantly residential area where a 30mph speed limit applies. The Site is within 100 metres walking distance to public transport bus stops that link Macclesfield town centre, numerous service stops, shops, schools and service facilities and, Macclesfield railway station are all accessible within 10-12-minutes from the site by bus, therefore reliance on private vehicle is not fundamental.
4.10 The overall scheme will provide 18 parking spaces of 2.5m in width x 4.8m in depth and, cycle parking will be provided. Refuse, delivery and service vehicles will be able to enter and leave the site in a forward gear.
4.11 The 2 no. 1-bedroom flats 1 dedicated parking space per unit, whilst the 2 no. 2-bedroom and 5 no. 3-bedroom dwellings will incorporate 2 dedicated parking spaces per unit, 2 visitor spaces will also be provided. The scheme will incorporate the creation of a new access and provide 18 parking spaces of 2.5m in width x 4.8m in depth.
<img>Proposed North East Elevation</img>
(Front elevations - House's 3, 4 & 5)
\<page_number>Page | 14\</page_number> www.wyg.com <img>A line drawing of a three-story house with a pitched roof. The top left corner has a chimney. The middle section shows two windows on each side of the door, and a larger window in the center. The bottom right corner also has a chimney. The text "Proposed South West Elevation" is written below the drawing.</img> (Rear elevations – House's 3, 4 & 5)
<img>A line drawing of two houses side by side. Both have pitched roofs and chimneys. The left house has a single window on the ground floor and two on the second floor. The right house has two windows on the ground floor and one on the second floor. The text "(Front and rear elevations – House's 1 & 2)" is written below the drawing.</img>
\<page_number>Page | 15\</page_number> www.wyg.com <img>(Front and rear elevations – Houses 6 & 7)</img>
<img>Proposed South East Elevation</img> <img>Proposed North East Elevation</img>
<img>Proposed North West Elevation</img> <img>Proposed South West Elevation</img>
(Apartments 1 & 2 Elevations)
\<page_number>Page | 16\</page_number> www.wyg.com 5.0 AFFORDABLE HOUSING INFORMATION
5.1 Policy HC1 of the Peak District Local Development Framework Core Strategy (2001) states that new housing will be acceptable where it addresses local needs for affordable homes. Saved Local Plan Policy LC20 states that residential development will be permitted provided there is a proven need. Supplementary Planning Guidance ‘Meeting the local need for affordable housing in the Peak District National Park’ provides guidance in terms of the quality and choice of properties required, the tenure and mix of properties required and establishing the local need requirements, so as to provide affordable housing to those who cannot easily compete on the open market to buy or rent their own home.
5.2 Rainow Rural Housing Needs Survey was published by Cheshire East Council with ground work provided by Rainow Parish Council in September 2014. The survey was forwarded to all residential households within Rainow Parish, the survey was conducted to assess the affordable housing needs within the parish. The survey concluded that ten affordable households were required in Rainow to meet existing need with a mix of 1, 2 and 3-bedroom dwellings identified.
5.3 The proposal is for the development of nine affordable homes to include two one-bedroom flats, two two-bedroom dwellings and five three-bedroom dwellings, which is the established mix of dwellings required within Rainow. The proposals accord with the findings of the survey. No new affordable housing units have been brought forward in the intervening period.
5.4 The Site is located within the Peak District National Park, and as stated above the mix of properties meets that identified in the Rainow Rural Housing Needs Survey 2014. Paragraph 77 of the National Planning Policy Framework (2018) confirms that in rural areas planning policies and decisions should be responsive to local circumstances and support housing developments that reflect local needs, including rural exception sites that will provide affordable housing to meet identified local needs.
5.5 In conclusion, the proposed scheme will meet a proven local need for affordable housing within Rainow, being designed to meet local policy requirements and, complies with the adopted Peak District National Park Authority’s Supplementary Planning Guidance ‘Meeting the local need for affordable housing’. The principle of the development is, therefore, in line with the Statutory Development Plan and the NPPF (2018).
\<page_number>Page | 17\</page_number> www.wyg.com **6.0 PLANNING POLICY CONTEXT**
**6.1** Section 38(6) of the Planning and Compulsory Purchase Act 2004 requires that, in the determination of planning applications, decisions are made in accordance with the Development Plan unless material considerations indicate otherwise.
**6.2** Rainow is located within the administrative boundary of Cheshire East Council, the site however lies to the eastern edge of Rainow, being located within the administrative boundary of the Peak District National Park Authority.
**6.3** The Development Plans for the **Peak District National Park Authority** comprise the following documents:
- Peak District National Local Development Framework Core Strategy (2011)
- Saved Policies from Local Plan 2001
- Emerging Development Management Policies document
**6.4** In addition to the statutory Development Plan, planning applications are also assessed against relevant material considerations. In the case of this application, the following documents are material considerations:
- Adopted Supplementary Planning Documents
- National Planning Policy Framework (NPPF) 2018
- Planning Practice Guidance
- National Planning Legislation and Policy
**6.5** Rainow is located within the Cheshire East administrative boundary, Rainow is not currently covered by a neighbourhood plan.
**Peak District Local Development Framework Core Strategy (2011)**
**6.6** The Peak District National Park Local Development Framework Core Strategy (2011) sets out policy principles to achieve the statutory purposes as defined in the Environment Act 1995: primary legislation underpinning national park designation. The plan contains a spatial strategy, alongside policies to achieve a vision and desired outcomes.
**6.7** The Policies contained within the Core Strategy relevant to the determination of this planning application are as follows:
\<page_number>Page | 18\</page_number> www.wyg.com 6.8 **Policy GSP2:** *Enhancing the National Park* seeks new development to incorporate a design that respects the character of the area. It is considered that "...where appropriate, landscaping and planting schemes will be sought that are consistent with local landscape characteristics and their setting, complementing the locality and helping to achieve biodiversity objectives..."
6.9 **Policy GSP3:** *Development Management Principles* provides a set of principles that development must adhere to, these include respecting, conserving and enhancing the valued characteristics of a site and its buildings, setting out that development must pay attention to the impact of development on the character and setting of buildings; scale of development appropriate to the character and appearance of the National Park; siting, landscaping and building materials; design being in accordance with the National Park Authority Design Guide; the form and intensity of the proposed use; the impact on living conditions of communities; impact on access and traffic levels; use of sustainable modes of transport; use of sustainable building techniques; ground conditions including any land instability from former mining, quarrying or industrial uses and, adapting to and mitigating the impact of climate change, particularly in respect of carbon emissions, energy and water demand.
6.10 **Policy DS1:** *Development Strategy* states that in settlements (which includes Rainow) "...there is additional scope to maintain and improve the sustainability and vitality of communities across the National Park. In or on the edge of these settlements new build development will be acceptable for affordable housing, community facilities and small-scale retail and business premises. Other than in Bakewell, no development boundaries will be drawn..."
6.11 The Site and Rainow are located within the South West Peak of the National Park. New homes within the South West Peak will be supported in the context of Policy DS1, for the provision of affordable homes for local need within settlements including Rainow, for the provision of between 30 and 130 homes.
6.12 **Policy L1:** *Landscape character and valued characteristics* advises that,"Development must conserve and enhance valued landscape character,
6.13 **Policy L2:** *Sites of biodiversity or geodiversity importance*, states that,"Development must conserve and enhance any sites, features or species of biodiversity importance and where appropriate their setting..."
6.14 **Policy LC3:** *Cultural heritage assets of archaeological, architectural, artistic or historic significance*, states the following: "...A. Development must conserve and where appropriate enhance or reveal the significance of archaeological, architectural, artistic or historic assets and their settings, including statutory
\<page_number>Page | 19\</page_number> www.wyg.com designations and other heritage assets of international, national, regional or local importance or special interest; B. Other than in exceptional circumstances development will not be permitted where it is likely to cause harm to the significance of any cultural heritage asset of archaeological, architectural, artistic or historic significance or its setting, including statutory designations or other heritage assets of international, national, regional or local importance or special interest; C. Proposals for development will be expected to meet the objectives of any strategy, wholly or partly covering the National Park, that has, as an objective, the conservation and where possible the enhancement of cultural heritage assets. This includes, but is not exclusive to, the Cultural Heritage Strategy for the Peak District National Park and any successor strategy.”
6.15 Policy HC1: New Housing, states that new housing will be acceptable where: “...A. It addresses eligible local needs: I. for homes that remain affordable with occupation restricted to local people in perpetuity; or II. for aged persons’ assisted accommodation including residential institutions offering care, where adequate care or assistance cannot be provided within the existing housing stock. In such cases, sufficient flexibility will be allowed in determining the local residential qualification to take into account their short-term business needs whilst maintaining local residency restrictions for the long term. B. It provides for key workers in agriculture, forestry or other rural enterprises in accordance with core policy HC2. C. In accordance with core policies GSP1 and GSP2: I. it is required in order to achieve conservation and/or enhancement of valued vernacular or listed buildings; or II. it is required in order to achieve conservation or enhancement in settlements listed in core policy DS1.
Any scheme proposed under CI or CII that is able to accommodate more than one dwelling unit, must also address identified eligible local need and be affordable with occupation restricted to local people in perpetuity, unless: III. it is not financially viable, although the intention will still be to maximise the proportion of affordable homes within viability constraints; or IV. it would provide more affordable homes than are needed in the parish and the adjacent parishes, now and in the near future: in which case (also subject to viability considerations), a financial contribution102 will be required towards affordable housing needed elsewhere in the National Park.
6.16 In terms of highway implications, Policy T1: Reducing the general need to travel and encouraging sustainable transport comments that “Conserving and enhancing the National Park’s valued
\<page_number>Page | 20\</page_number> www.wyg.com characteristics will be the primary criterion in the planning and design of transport and its management", which includes a model shift to sustainable transport, improved connectivity between sustainable modes of travel and the impacts of traffic within environmentally sensitive locations shall be minimised. Policy T2: Reducing and directing traffic states that "Sustainable transport patterns will be sought that complement the development strategy (DS1). Travel Plans will be used to encourage behavioural change to achieve a reduction in the need to travel, and to change public attitudes toward car usage and public transport, walking and cycling. Travel Plans to reduce traffic movements and safeguard transport infrastructure will be required on appropriate new developments and encouraged on existing developments."Policy T7: Minimising the adverse impact of motor vehicles and managing the demand for car and coach parks states that residential parking will be the minimum required.
6.17 Policy CC1: Climate change mitigation and adaption, advises that development must make the most efficient and sustainable use of land, buildings and natural resources, take account of the energy hierarchy, be directed away from flood risk areas, achieve the highest possible standards of carbon reductions and achieve the highest possible standards of water efficiency.
**Local Plan 2001**
6.18 A number of policies from the Local Plan 2001 are saved, those relevant to the proposal are as follows:
6.19 In terms of the design of development, Policy LC4: Design, layout and landscaping, state that:
- Where development is acceptable in principle, it will be permitted provided that its detailed treatment is of a high standard that respects, conserves and where possible it enhances the landscape, built environment and other valued characteristics of the area.
- Particular attention will be paid to:
- Scale, form, mass and orientation in relation to existing buildings, settlement form and character, landscape features and the wider landscape setting;
- The degree to which design details, materials and finishes reflect or complement the style and traditions of local buildings;
- And the use and maintenance of landscaping to enhance new development, and the degree to which this makes use of local features and an appropriate mix of species suited to both the landscape and wildlife interests of the locality;
- The amenity, privacy and security of the development and of nearby properties.
- And any nuisance, or harm to the rural character of the area, caused by lighting schemes.
6.20 The site is located directly adjacent to the Rainow Conservation Area, Policy LCS: Conservation Areas states that "Applications for development in a Conservation Area, or for development that affects its setting or important views into or out of the area, should access and clearly demonstrate how the
\<page_number>Page | 21\</page_number> www.wyg.com existing character and appearance of the Conservation Area will be preserved, and where possible, enhanced. Outline applications for development will not be considered... Matters that should be taken into account include form and layout of the area including views into and out of it and open spaces; scale, height, form and massing of the development and existing buildings to which it relates; locally distinctive design details including traditional frontage patterns and vertical horizontal emphasis, and the nature and quality of materials.
6.21 Policy LC18: Safeguarding, recording and enhancing nature conservation interests when development is acceptable, advises that "... where development which could affect a site, feature, or species of nature conservation importance or its setting is acceptable, appropriate safeguards and enhancements will be required to minimise adverse impacts."
6.22 Policy LC19: Assessing the nature conservation importance of sites not subject to statutory Designation advises that, "When applying Development Plan policies to a site not subject to a statutory designation its nature conservation importance will be judged according to its scientific importance and its importance to the community..."
6.23 Policy LC20: Protecting trees, woodlands or other landscape features put at risk by development, states the following:
- "Planning applications should provide sufficient information to enable their impact on trees, woodlands and other landscape features to be properly considered.
- Where development that involves risk of damage to trees, woodlands or other landscape features is acceptable, adequate space must be left for their replacement with appropriate species of trees and shrubs of local materials. Appropriate maintenance that respects wildlife interests will be required."
6.24 Policy LH1: Meeting local needs for affordable housing, states that:
"Exceptionably residential development will be permitted either as a newly built dwelling in or on the edge of Local Plan Settlements (Policy LC2) or as the conversion of an existing building of traditional design and materials in the countryside provided that:
- there is a proven need for the dwelling(s). In the case of proposals for more than one dwelling, this will be judged by reference to an up to date housing needs survey prepared by or in consultation with the district council as housing authority. In the case of individual dwellings, need will be judged by reference to the circumstances of the applicant his or her present accommodation;
Page | 22 www.wyg.com
- the need cannot be met within the existing housing stock. Individuals may be asked to provide evidence of a search for suitable property which they can afford to purchase within both their own and adjoining parishes;
- the intended occupants meet the requirements of the National Park Authority’s local occupancy criteria (Policy LH2). In the case of proposals for more than one dwelling, where the intended occupants are not specified, a satisfactory mechanism to ensure compliance with the local occupancy restriction will be required – normally a planning obligation;
- the dwelling(s) will be affordable by size and type to local people on low or moderate incomes and will remain so in perpetuity;
- the requirements of Policy LC4 are complied with”.
6.25 Appendix 1 of the Local Plan provides the following car parking standards for dwelling houses:
<table>
<thead>
<tr>
<th>Dwelling</th>
<th>Spaces</th>
</tr>
</thead>
<tbody>
<tr>
<td>One-bedroom dwelling</td>
<td>1 space per unit plus 1 space per 2 units for visitors</td>
</tr>
<tr>
<td>Two and three-bedroom dwellings</td>
<td>2 spaces per unit</td>
</tr>
<tr>
<td>Four (and over) bedroom dwellings</td>
<td>3 spaces per unit, of which no more than 2 shall be in line</td>
</tr>
<tr>
<td>Aged persons residences</td>
<td>1 space per residential unit plus 1 space per 2 units for visitors</td>
</tr>
</tbody>
</table>
**Material Considerations**
**Emerging Policy - Development Management Policies (DMP)**
6.26 The DMP forms part 2 of the Local Plan for the Peak District National Park, this document will include a Policies Map, and will guide and manage development across the National Park alongside the Core Strategy up to 2026.
6.27 Following the consultation stages, the DMP was submitted to the Secretary of State on 19th February 2018.
6.28 **Policy DMH1:** New Affordable Housing, states that: “A. Affordable housing will be permitted in or on the edge of Core Strategy DS1 settlements, either by new build or by conversion; and outside of DS1 settlements by conversion of existing buildings provided that:
- There is a proven need for the dwelling(s); and
- Any new build housing is within the following size thresholds:
Page | 23 www.wyg.com
<table>
<tr>
<td>Number of bed spaces</td>
<td>Maximum Gross Internal Floor Area (m2)</td>
</tr>
<tr>
<td>One person</td>
<td>39</td>
</tr>
<tr>
<td>Two persons</td>
<td>58</td>
</tr>
<tr>
<td>Three persons</td>
<td>70</td>
</tr>
<tr>
<td>Four persons</td>
<td>84</td>
</tr>
<tr>
<td>Five persons</td>
<td>97</td>
</tr>
</table>
6.29 In terms of parking standards for dwelling houses, Appendix 10 of the DMP provides the following table:
<table>
<thead>
<tr>
<th>Dwelling Houses</th>
<th>Minimum</th>
<th>Maximum</th>
</tr>
</thead>
<tbody>
<tr>
<td>One-bedroom dwellings</td>
<td>1 space per unit plus 1 space per 2 units for visitors</td>
<td>2 spaces per unit plus 1 space per 2 units for visitors</td>
</tr>
<tr>
<td>Two and three-bedroom dwellings</td>
<td>2 spaces per unit</td>
<td>3 spaces per unit, of which no more than 2 shall be in line</td>
</tr>
<tr>
<td>Four (and over) bedroom dwellings</td>
<td>3 spaces per unit, of which no more than 2 shall be in line</td>
<td>4 spaces per unit, of which no more than 2 shall be in line</td>
</tr>
<tr>
<td>Aged persons residence</td>
<td>1 space per residential unit plus 1 space per 2 units for visitors</td>
<td>2 spaces per residential unit plus 1 space per 2 units for visitors</td>
</tr>
</tbody>
</table>
**SPD – Design Guide (2007)**
6.30 The Design Guide SPD considers the principles of good design and designing in harmony with local building tradition and sustainable design principles. The document builds upon the policies of the Peak District Structure Plan (1994) and the Peak District Local Plan (2001). The SPD covers a number of design principles including:
6.31 The setting of new buildings, para 3.1 states that “The setting of any building should be carefully considered whether on an isolated site or within a settlement.” Para 3.2 states that “In the countryside or on the edge of settlements, buildings should sit comfortably in the landscape. This is best achieved by emulating the horizontal, ground-hugging form of traditional buildings with their strong eaves and ridge lines and simple, low silhouettes parallel with the contours.” Para 3.11 discusses ‘Harmony in New Design’ commenting that “New buildings should be in harmony with the earlier buildings around
\<page_number>Page | 24\</page_number> www.wyg.com them. Historic buildings are important in setting the context for new development. The aim is to create a pleasing visual relationship between new and old,” and that there are three main factors to consider, form; detailing and materials. The guide states at para 4.1 that “New buildings should ideally be constructed from the same palette of materials used traditionally in the area. This means for the most part natural stone for walling and slate or tile for roofs.” The SPD further discusses the issues of access and space between buildings and sustainable design which should guide all stages of the design process.
**SPG – Meeting the local need for affordable housing in the Peak District National Park (2003)**
6.32 The National Park Authority prepared the SPG to supplement the policies in the Local Plan (2001), seeking to help meet local need for houses that are affordable to those who cannot easily compete on the open market to buy or rent their own home.
6.33 Chapter 2 discusses ‘Quality and Choice’, highlighting the “…importance of providing a mix of housing types so that people can aspire to home ownership in the areas in which they have grown up.”
6.34 Chapter 3 views ‘Tenure, mix of housing and local authority nomination rights’, commenting that “affordable housing should include both low-cost and subsidised housing with a variety of tenure, ownership or financial arrangements…”
6.35 Chapter 4 regards ‘Establishing an initial local need’, stating that “Local Plan Policy LH1 sets out 5 criteria all of which should be met before need for an affordable home can be established. A community’s need for affordable housing is generally fairly easy to establish through a parish needs or similar survey that demonstrates the number of people with needs for particular types of housing. Where possible, this should be carried out by the local authority, Rural Housing Enabler or a registered social landlord in liaison with the parish council. However, various local needs survey forms have developed over time. The Housing Sub Group of the Peak District Rural Deprivation Forum has investigated the various forms that are currently used and devised the most useful and user-friendly form (see Appendix 1) and is recommended for use by those seeking to provide affordable housing. Evidence of need through the use of such a survey form will be required for schemes of more than one dwelling and/or where an individual is not intending to live in the accommodation provided. The analysis of the needs survey should be carried out in confidence by an organisation approved by the NPA.”
6.36 Chapter 7 ‘Size and type’ provides floor space guidance, requiring that a property for 1 person provides 34 square metres; 2 people 50 square metres; 3 people 62 square metres; 4 people 75 square metres and 5 people 87 square metres. “In schemes of 3 or more dwellings the range of size
\<page_number>Page | 25\</page_number> www.wyg.com and type should be agreed with the relevant District /Unitary Authority to reflect needs assessments and include provision for the elderly or disabled as need be."
**Climate Change and Sustainable Buildings (2013)**
6.37 "This Supplementary Planning Document for Climate Change and Sustainable Building promotes the positive role that sustainable buildings, and low carbon and renewable energy can play in reducing greenhouse gas emissions. It provides guidance on adapting to and mitigating the impacts of climate change in ways that are appropriate to the statutorily protected landscapes of the Peak District National Park."
**Community Infrastructure Levy**
6.38 Chapter 13, paragraph 13.2 of the Peak District National Park Community Infrastructure Levy Viability Study (2013) states that affordable housing is automatically exempt from paying CIL.
6.39 Appendix 11 of The Peak District National Park Authorities Supplementary Planning Document 'Meeting the local need for affordable housing in the Peak District National Park' (2003) provides a procedure for the successful outcome of acquiring consent for affordable housing, which includes identifying local need; identifying a site; identifying priorities; and the development of the site, which includes planning agreements which states that:
"Applicants will be invited to enter into a Section 106 agreement prior to consent being granted. This will require the applicant meeting the following criteria:
- that the house will remain more affordable than an equivalent house for sale on the open market by the involvement of an independent valuer at the time the house is built and at resale
- that the house will always be occupied by a person(s) who has a longstanding connection with the parish or adjoining parish, which generally involves a period of residence of at least 10 years
- that the first occupant of a private scheme will remain in the house for at least 3 years
- that the person will not extend the property without the prior consent of the NPA
- where a scheme for rent is to be provided, that the rent charged will not exceed the target rent set by the Housing Corporation"
\<page_number>Page | 26\</page_number> www.wyg.com Once the Section 106 Agreement has been signed, planning permission for development can be granted.
**Material Considerations**
**National Planning Policy Framework 2018 (NPPF)**
6.40 The National Planning Policy Framework (NPPF) was published in July 2018 and establishes overarching principles of the planning system which aim to contribute to the achievement of sustainable development.
6.41 Paragraph 2 of the NPPF states that:
“Planning applications for planning permission should be determined in accordance with the development plan unless material considerations indicate otherwise.”
6.42 Paragraph 8 of the NPPF confirms the planning system has three overarching mutual objectives for achieving sustainable development which are:
a) economic – helping to build a strong, responsive and competitive economy;
b) social – supporting strong, vibrant and healthy communities and providing sustainable homes and by creating a well-designed environment with accessible services that support communities social well-being; and
c) environmental – protecting and enhancing our natural, built and historic environment; including making effective use of land and helping to improve biodiversity.
6.42 Paragraph 11 stresses that plans and decisions should apply a presumption in favour of sustainable development. For plan-making this means development plans should positively seek opportunities to meet the development needs of the area and be sufficiently flexible to adapt to rapid change and proposals should accord with an up-to-date development plan; and for decision-taking this means development proposals that accord with the development plan should be approved without delay.
6.43 In terms of determining applications, paragraph 38 sets out that it is a requirement that Local Planning Authorities should approach decisions in a positive and creative way. This paragraph also states that Planning Authorities should work proactively with applicants to secure developments that improve the economic, social and environmental conditions of an area.
\<page_number>Page | 27\</page_number> www.wyg.com 6.44 Paragraph 47 states that planning law requires applications for planning permission to be determined in accordance with the development plan unless material considerations indicate otherwise. It encourages that decisions on applications should be made as quickly as possible.
6.45 Paragraph 54 of the NPPF states that planning authorities should consider whether unacceptable impacts of a development can be made acceptable through the use of planning conditions. Planning conditions should be kept to a minimum and only imposed if they meet the test of being necessary, relevant, enforceable, precise and reasonable to the development proposals.
6.46 Section 5 on delivering housing sets out that the Government is committed to boosting the supply of homes in order to meet local needs and that land with permission should be developed without unnecessary delay. Paragraph 63 confirms that affordable housing should not be sought for residential developments that are not major developments other than in designated rural areas. These rural areas are defined in Annexe 2 of the NPPF as National Parks, Areas of Outstanding Natural Beauty and areas designated as rural under section 157 of the Housing Act 1985.
6.47 Paragraph 77 advises that in rural areas, planning policies and decisions should be responsive to local circumstances and support housing developments that reflect local needs. Local planning authorities should support opportunities to bring forward rural exception sites that will provide affordable housing to meet identified local needs, and consider whether allowing some market housing on these sites would help to facilitate this.
6.48 Paragraph 78 seeks to promote sustainable development in rural areas, stating that housing should be located where it will enhance or maintain the vitality of rural communities.
6.49 Section 9 discusses promoting sustainable transport, paragraph 102 advises that transport issues should be considered from the earliest stages of plan-making and development proposals, so that: a) the potential impacts of development on transport networks can be addressed; b) opportunities from existing or proposed transport infrastructure, and changing transport technology and usage, are realised – for example in relation to the scale, location or density of development that can be accommodated; c) opportunities to promote walking, cycling and public transport use are identified and pursued; d) the environmental impacts of traffic and transport infrastructure can be identified, assessed and taken into account – including appropriate opportunities for avoiding and mitigating any adverse effects, and for net environmental gains; and
\<page_number>Page | 28\</page_number> www.wyg.com e) patterns of movement, streets, parking and other transport considerations are integral to the design of schemes, and contribute to making high quality places.
6.50 Paragraph 118 of the NPPF states that in considering planning applications substantial weight should be given to the development of underutilised land and buildings especially if it helps to meet the housing needs in areas where land is constrained, should be supported.
6.51 Paragraph 122 considers appropriate densities, advising that policies and decisions should support development that makes efficient use of land, taking into account the identified need for different types of housing, the availability and capacity of infrastructure and services and, the importance of securing well-designed, attractive and healthy places.
6.52 Design is covered in Section 12, where the Government attaches great importance to the design of the built environment. This policy highlights that good design is a key aspect of sustainable development, that should be indivisible from good planning, which in turn should contribute positively to making places better for people.
6.53 Paragraph 125 stresses that plans should set out a clear design vision and expectations, so that applicants have as much certainty as possible about what is likely to be acceptable. Paragraph 126 goes further in stating that maximum clarity about design expectations at an early stage and plans and supplementary planning documents should use visual tools such as design codes. Great weight should be given to outstanding or innovative designs which promote high levels of sustainability or help raise the standard of design more generally in the area, as long as they fit within the overall form and layout of their surroundings.
6.54 Section 15 advises to the conserving and enhancing of the natural environment, Paragraph 170 states that planning policies and decisions should contribute to and enhance the natural and local environment, by protecting and enhancing valued landscapes and recognising the intrinsic character and beauty of the countryside.
6.55 Paragraph 172 states that great weight should be given to conserving and enhancing landscape and scenic beauty in areas including National Parks and, the conservation and enhancement of wildlife and cultural heritage are also important considerations, which should be given great weight in National Parks. It is further stated that the scale and extent of development within such areas should be limited, taking into account the need for the development and any detrimental effect on the environment, the landscape and recreational opportunities.
\<page_number>Page | 29\</page_number> www.wyg.com 6.56 Section 18 considers the conserving and enhancing of the historic environment. Paragraph 184 states that "...heritage assets range from sites and buildings of local historic value to those of the highest significance...", these assets should be conserved so that future generations can enjoy them.
**Planning Practice Guidance**
6.57 Planning Practice Guidance (PPG) was published online in March 2014. It advises that:
"The National Planning Policy Framework represents up-to-date Government planning policy and must be taken into account where it is relevant to a planning application or appeal. If decision takers choose not to follow the National Planning Policy Framework, clear and convincing reasons for doing so are needed. A development that is consistent with the National Planning Policy Framework does not remove the requirement to determine the application in accordance with the development plan unless there are other material considerations that indicate otherwise."
6.58 The Guidance advises that the statutory development plan is "the plan for the future development of an area". It consists of:
- Local plans: development plan documents adopted by local planning authorities, including any 'saved' policies from plans that are otherwise no longer current, and those development plan documents that deal specifically with minerals and waste.
- Neighbourhood plans: where these have been supported by the local community at referendum and subsequently made by the local planning authority.
6.59 Regarding how decisions on planning applications must be made, it advises that:
"The National Planning Policy Framework stresses the importance of having a planning system that is genuinely plan-led. Where a proposal accords with an up-to-date development plan it should be approved without delay, as required by the presumption in favour of sustainable development at paragraph 14 of the National Planning Policy Framework. Where the development plan is absent, silent or the relevant policies are out of date, paragraph 14 of the National Planning Policy Framework requires the application to be determined in accordance with the presumption in favour of sustainable development unless otherwise specified".
6.60 In terms of housing need, the guidance advises that:
"Housing need is an unconstrained assessment of the number of homes needed in an area. Assessing housing need is the first step in the process of deciding how many homes need to be planned for. It
Page | 30 www.wyg.com 6.61 should be undertaken separately from assessing land availability, establishing a housing requirement figure, and preparing policies to address this such as site allocations.”
With regard to rural housing, the PPG comments that:
6.62 “It is important to recognise the particular issues facing rural areas in terms of housing supply and affordability, and the role of housing in supporting the broader sustainability of villages and smaller settlements.” and,
A thriving rural community in a living, working countryside depends, in part, on retaining local services and community facilities such as schools, local shops, cultural venues, public houses and places of worship. Rural housing is essential to ensure viable use of these local facilities.
6.63 Regarding design, it advises that:
“Good quality design is an integral part of sustainable development. The National Planning Policy Framework recognises that design quality matters and that planning should drive up standards across all forms of development. As a core planning principle, plan-makers and decision takers should always seek to secure high quality design”.
**The Conservation of Habitats and Species Regulations (2017)**
6.64 This transposes the EU Habitats Directive (Council Directive 92/43/EC) into UK domestic law. It provides protection for sites and species deemed to be of conservation importance across Europe. It is an offence to deliberately capture, kill or injure species listed in Schedule 2 or to damage or destroy their breeding sites or shelter. It is also illegal to deliberately disturb these species in such a way that is likely to significantly impact on the local distribution or abundance or affect their ability to survive, breed and rear or nurture their young.
**The Wildlife and Countryside Act (1981) (as amended)**
6.65 This is the primary piece of legislation by which biodiversity is protected within the UK. Protected fauna and flora are listed under Schedules 1, 5 and 8 of the Act. They include all species of bats, making it an offence to intentionally or recklessly disturb any bat whilst it is occupying a roost or to intentionally or recklessly obstruct access to a bat roost. Similarly this Act makes it an offence to kill or injure any species of British reptiles and also makes it an offence to intentionally kill, injure or take any wild bird or to take, damage or destroy their eggs and nests (whilst in use or being built).
Page | 31 www.wyg.com The Countryside and Rights of Way Act (2000)
6.66 This Act places a duty on Government Ministers and Departments to conserve biological diversity and provides police with stronger powers relating to wildlife crimes.
Planning (Listed Buildings and Conservation Areas) Act 1990
6.67 Section 66(1) requires that in considering whether to grant planning permission for development which affects a listed building or its setting, the local planning authority or, as the case may be, the Secretary of State shall have special regard to the desirability of preserving the building or its setting or any features of special architectural or historic interest which it possesses.
6.68 Section 72(1) requires that in considering whether to grant planning permission for development which affects a conservation area or its setting, the local planning authority, or, the Secretary of State shall pay special attention to the desirability of preserving or enhancing the character or appearance of that area.
Page | 32 www.wyg.com 7.0 PLANNING ASSESSMENT
7.1 This section of the Planning, Design and Access Statement provides an assessment of the proposed development against relevant legislation, the Statutory Development Plan and other material considerations, including the National Planning Policy Framework 2018 (NPPF). An assessment of relevant technical matters is also included.
7.2 The Planning Assessment will be set out as follows:
- Legislation
- Principle of Development
- Technical Matters
**Legislation**
7.3 The Site is located within a designated National Park. The Site is not covered by any allocations or designations within the Peak District Local Development Framework Core Strategy or Saved Policies within the Peak District Local Plan 2001. Therefore, it is a requirement that the Local Planning Authority should approach a decision in a positive and creative way, working proactively to ensure a development that will improve the economic, social and environmental conditions of the area, in accordance with paragraph 38 of the NPPF.
7.4 The Site is bounded to the south by the Rainow Conservation Area which incorporates a number of Grade II Listed buildings/structures. Paragraphs 66(1) and 72(1) of the Planning (Listed Buildings and Conservation Areas) Act 1990 are therefore relevant in the assessment of the proposed scheme.
**Principle of Development**
7.5 The Application Site is located on the edge of the settlement of Rainow, which is located within the administrative boundary of Cheshire East Council, albeit the Site falls into the administrative boundary of the Peak District National Park Authority.
7.6 The application proposals are consistent with the development strategy for new affordable residential development within Rainow and the Peak District National Park, contained within Policy DS1 of the adopted Core Strategy and LC4 of the Local Plan. Policy DS1 states that in or on the edge of the settlement, new build development will be acceptable for affordable housing and, Policy LC4 supports this stance.
Page | \<page_number>33\</page_number> www.wyg.com 7.7 The proposal site is currently under-utilised former horse paddock. The proposal adheres to the Development Management Principles as set out in Policy GSP3, and the enhancement of the National Park as set out in GSP2, in that the proposal will respect, conserve and enhance the character of the surrounding area in terms of design, siting, landscaping and proposed building materials.
7.8 Rainow Rural Housing Needs Survey was published by Cheshire East Council with ground work provided by Rainow Parish Council in September 2014. The survey concluded that ten affordable households were required in Rainow to meet existing need with a mix of 1, 2 and 3-bedroom dwellings identified.
7.9 In terms of policy, Core Strategy Policy HC1 states that new housing will be acceptable where it addresses local needs for affordable homes. Local Plan Policy LC20 states that residential development will be permitted provided there is a proven need. The proposal is for the development of nine affordable homes to include two one-bedroom flats, two two-bedroom dwellings and five three-bedroom dwellings, which is the established mix of dwellings required within Rainow. The proposals accord with the findings of the survey. No new affordable housing units have been brought forward in the intervening period.
7.10 The Site is located within the Peak District National Park, and as stated above the mix of properties meets that identified in the Rural Housing Needs Survey conducted in September 2014. Paragraph 77 confirms that in rural areas planning policies and decisions should be responsive to local circumstances and support housing developments that reflect local needs, including rural exception sites that will provide affordable housing to meet identified local needs.
7.11 In conclusion, the proposed scheme will meet a proven local need for affordable housing within Rainow and be designed to meet local policy requirements. The principle of the development is, therefore, in line with the Statutory Development Plan and the NPPF (2018).
**Sustainability Considerations**
7.12 The application Site lies to the edge of the settlement of Rainow, within a sustainable location served by highway infrastructure and public transport bus routes to the nearby main town of Macclesfield, in which all service facilities are available, including a main train station with services to Manchester, Stafford and beyond.
7.13 The proposed development meets all three overarching mutual objectives for achieving sustainable development as specified in paragraph 8 of the NPPF. The following economic, social and environmental benefits are considered below:
\<page_number>Page | 34\</page_number> www.wyg.com **Economic**
- The development will make provision for nine new affordable homes, which will contribute significantly to the required ten homes within Rainow identified through the Rainow Rural Housing Needs Survey September 2014;
- The development will provide the required mix of 1, 2 and 3-bedroom properties identified within the Rainow Rural Housing Needs Survey September 2014;
- The proposal will contribute towards the local economy during the construction phase in terms of employment.
**Social**
- The development will help to meet the local housing need in Rainow; and,
- The provision of affordable housing is considered to be of social benefit in accordance with both local and national policy
**Environmental**
- The supporting documentation submitted as part of the application and information provided above confirms that the proposed development will not have any significant adverse environmental impacts; and,
- The proposed scheme has taken account of existing tree and vegetation bounding the site and will enhance the visual aesthetics of the site through a carefully considered landscape scheme.
**Technical Matters**
**Residential Amenity**
7.14 In terms of existing residential amenity, the nearest residential properties to the Site are located approximately 11.5 metres to the south east of the site boundary to the adjacent side of the B5470 Church Lane, which is not fronting directly into the site, a property approximately 34 metres to the north east of the site boundary, which is side fronting to the site, and approximately 13 metres to the west of the Site to the adjacent side of Smithy Lane. The Robin Hood public house is located approximately 45 metres to the south west of the Site boundary beyond an existing car parking area. In conclusion, the properties to the south east and west of the site are both located beyond existing highway and the site to the north east is side facing onto the Application Site, it is therefore considered that no significant affect would occur upon existing residential amenity through overlooking, over-shadowing or loss of views.
7.15 In terms of the residential amenity of future occupiers, the proposed layout of the site will provide enclosed private rear garden areas of an adequate size, and landscaping throughout the site will soften the built form of the development. The layout of the proposal will provide privacy and no overlooking or unacceptable views would occur due to the orientation of the
\<page_number>Page | 35\</page_number> www.wyg.com properties. The layout of the site will provide a development consisting of frontage parking and softened landscaped areas.
7.16 No policies on residential unit size is set out in the adopted Development Plan. Emerging Policy DMH1 in the Peak District Development Management Policies Local Plan sets out a maximum unit size for new affordable housing scheme. The supporting text for Policy DMH1 confirms that the proposed space standards seek “to balance a high degree of functionality with affordability”. The proposed scheme is slightly below unit size standards set out in the emerging policy, however, the proposed scheme is in-line with other approved schemes that Equity have completed in Cheshire East, including:
- 2 and 3 bed scheme at Sandbach road, Alsager;
- 2 and 3 bed scheme at Boars Leigh, Bosley, Macclesfield; and,
- 2 and 3 bed scheme at Springwood Way, Tytherington.
Landscaping
7.17 The site relates well to the village of Rainow, being locate to its north-eastern edge, with no wider landscape impacts. The site has a notable slope east to west, with the western edge forming a bank which is too steep to build on. The site is partly grassed and partly treed, with a few small trees near to the centre of the site scheduled for removal. The proposal will provide an active frontage to the B5470 Church Lane whilst leaving the Smithy Lane frontage untouched.
7.18 The seven dwellings will benefit from enclosed grassed rear garden amenity areas, bounded by 1.8-metre-high close board fencing and, the two apartments will benefit from an enclosed grassed rear garden amenity area. Landscaped areas, three newly planted trees and improved landscaping to the informal footpath to the northern boundary of the Site will be incorporated into the scheme, along with retained trees to improve and soften visual aesthetics, whilst retaining the Smithy Lane frontage.
7.19 In terms of hard landscaping, footpaths would be finished with buff concrete paving, tarmacked road surface and grey block paving to the proposed parking bays.
Arboriculture
7.20 An Arboricultural Implications Assessment and Method Statement has been submitted in support of the proposed development. A total of twenty-five trees, groups of trees and hedges were surveyed, of the existing trees, groups and hedges, six are scheduled to be wholly or partially removed to facilitate the proposed development, resulting in the total loss of ten trees. The loss of the trees and tree groups will be mitigated by the provision of new tree and planting. The assessment concludes
Page | 36 www.wyg.com that provided tree protection detailed within the report is deployed and suitable hedge and tree planting is realised, then the development will be generally acceptable from an arboricultural perspective and there is likely to be a low risk of adverse impact on trees scheduled to be retained.
**Heritage**
7.21 The proposed development site is located outside of the Rainow Conservation Area, which abuts the southern edge of the Site. The nearest listed structure within the Conservation Area is ‘The Stocks’, a C19 stock including sandstone pillars, split hole plank with 4-foot holes and wooden seat, the structure is listed due to its legacy record and located approximately 120 metres to the south of the Site.
7.22 The proposed dwellings are designed to respond to the scale and massing of the area and be finished in materials that are in keeping with the character of the Conservation Area. The proposal scheme will not result in any identifiable harm to the significance or the setting of the heritage assets or the Conservation Area.
**Ecology**
7.23 An initial ecological appraisal has been conducted. The findings of the appraisal confirm that any areas that the proposal would affect are of low to moderate ecological value with the habitats present of negligible site ecological value.
\<page_number>Page | 37\</page_number> www.wyg.com <img>Tree/tree groups and hedge survey</img>
Page | 38 www.wyg.com **8.0 DESIGN & ACCESS STATEMENT**
**8.1** Article 9 of the Town and Country Planning (Development Management Procedure) (England) Order 2015 contains the requirement for planning applications to be accompanied by a Design and Access Statement.
**8.2** The details of the development proposals are included within Section 4.0 of this Statement, including the proposed use, the amount/scale of development proposed, layout, appearance, landscaping, access/parking and ecological implications.
**Design Statement**
**8.3** The NPPF and local planning policies seek to ensure that new development incorporates the principles of good design and that the character or local distinctiveness of an area is respected, maintained or enhanced.
**8.4** No uniformity in building design is present within the confines of the settlement of Rainow, which includes a range of differently designed buildings in terms of built form, of differing ages, from Grade II Listed Buildings located in a linear ribbon form of development along the B5470 Tower Hill/Church Lane, and a structured residential estate of modern detached residential dwellings.
**8.5** The proposed units will be of traditional appearance, being two-storeys in height with pitched roof and chimney details. Each will include reconstituted stone elevations under grey concrete roof tile, cream coloured UPVC casement windows, reconstituted stone windows heads and cills, cream UPVC folding doors, cream painted timber fascia/soffit/bargeboards, black UPVC rainwater goods, stained timber front door, cream painted timber entrance canopy and timber decking and steps.
**8.6** Policy GSP3 of the adopted Local Development Framework Core Strategy (2001) supports development which respects, conserves and enhances the valued characteristics of a site and its buildings. The proposed scheme in accordance with Policy GSP3 has taken account of the character and setting of buildings within the surrounding area in terms of scale and appearance, incorporating materials that are in accordance with adopted design guidance and will sit comfortably within the local distinctiveness of the Site’s surroundings.
\<page_number>Page | 39\</page_number> www.wyg.com 8.7 The siting and layout of the proposed Site and properties is dictated to through the topography of the Site, which has a significant slope east to west. The layout of the properties will provide an active frontage to Church Lane, maintaining the existing frontage building line along with the Robin Hood Public House. Properties located within the site are orientated to front onto the proposed internal roadway, with generous enclosed rear garden areas, frontage parking bays and separation distances that will not lead to any amenity issues for future occupiers. The scheme will not lead to any loss of residential amenity to neighbouring occupiers.
<img>(Proposed South east Context elevation)</img> <img>Proposed South East Context Elevation (A-A)</img>
<img>(Proposed North East Context Elevation)</img> <img>Proposed North East Context Elevation (B-B)</img>
<img>Proposed North East Context Elevation (C-C)</img>
Page | 40 www.wyg.com 8.8 The seven dwellings will benefit from enclosed grassed rear garden amenity areas, bounded by 1.8-metre-high close board fencing and, the two apartments will benefit from enclosed grassed rear garden amenity area. Landscaped areas and three newly planted trees will be incorporated into the site along with retained trees to improve and soften visual aesthetics.
<img>(Proposed Site layout)</img>
**Access**
8.9 The NPPF focuses on whether opportunities for sustainable transport modes have been taken up; whether safe and suitable access to the site can be achieved for all people; and whether improvements can be undertaken within the transport network that cost effectively limit the significant impacts of the development. It states that development proposals should only be prevented or refused on transport grounds where the residual cumulative impacts of development are 'severe'.
8.10 A Transport Statement has been prepared by Transport Planning Associates to assess highway and transport impact that may arise from the application proposals. The Application Site
\<page_number>Page | 41\</page_number> www.wyg.com represents a sustainable location for the proposed development, being located on the existing highway network, and within close proximity to regular bus service provision, with links to Macclesfield town centre, numerous service stops, shops, schools and service facilities and, Macclesfield railway station, which are all accessible within a 10-12-minute bus journey from the site.
8.11 The overall scheme will provide 16 parking spaces of 2.5m in width x 4.8m in depth, equating to 1.77% parking provision as a whole within the confines of the site. In addition, cycle parking will be provided, and delivery/service vehicles will be able to enter and leave the site in a forward gear.
8.12 In summary, the Transport Statement concludes that the proposal is compliant with both national and local transport planning policies and would not result in a severe impact on the existing highway network.
\<page_number>Page | 42\</page_number> www.wyg.com **9.0 CONCLUSION**
9.1 WYG has prepared this Planning, Design and Access Statement on behalf of the applicant, Equity Housing Group Ltd, in support of the proposed affordable housing development of nine residential units on land located to the western edge of the settlement of Rainow, adjacent to the Robin Hood Public House, SK10 5XE. The proposals meet an identified need for affordable homes in Rainow.
9.2 Section 38 (6) of the Planning and Compulsory Purchase Act (2004) requires that planning applications are determined in accordance with the Development Plan unless material considerations indicate otherwise. The Statutory Development Plan for the Site comprises the Peak District National Park Local Development Framework Core Strategy.
9.3 Community engagement has occurred through the presentation of the scheme to Rainow residents at the Rainow Parish Council meeting of the 16th October 2018. In attendance meeting were representatives from the applicants Equity Homes and the planning agents WYG.
9.4 The proposals meet an identified need for affordable homes in Rainow highlighted through the Rainow Rural Housing Needs Survey 2014, which found that ten affordable homes were required within Rainow, with a requirement of 1, 2 and 3-bedroom dwellings.
9.5 The proposal will not lead to any detriment to the character or openness of the surrounding landscape/countryside, being located to edge of the residential settlement of Rainow and bounded by residential properties to the north, east and west and, a hard standing car parking area associated with “The Chapel” to the eastern edge of the Site and the Robin Hood public house to the south.
9.6 This Planning, Design and Access Statement, and the other documentation submitted in support of the application, confirms that the proposed development is entirely in accordance with the adopted Development Plan and is acceptable having regard to the key technical considerations. There are no material considerations which indicate that planning permission should not be granted in accordance with the Plan.
9.7 It is concluded that the proposals represent a sustainable form of development in a sustainable location having regard to the provision of the National Planning Policy Framework and the Development Plan. The development will result in economic, social and environmental benefits in line with the aspirations of the NPPF. In accordance with the NPPF, the presumption in favour of sustainable development applies because the application is in full accordance with the Development Plan, and planning permission should therefore be approved without delay.
\<page_number>Page | 43\</page_number> www.wyg.com 9.8 Accordingly, the Council is requested to support the proposed development and grant planning permission.
www.wyg.com
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Is the non-resident trading in the UK? (see INTM262200)
NO
Is the non-resident trading in the development or dealing of UK Land? (see BIM66510)
YES
Is the non-resident an individual? (see INTM262300)
YES
Consider domestic IT charging provisions (see INTM262300)
NO
Does the company trade in the UK through a PE? (see INTM264000)
YES
Consider domestic CT charging provisions (see INTM262300)
NO
Need not consider case further
Taxable to IT/CT
Does the company trade in the UK?
NO
Consider domestic CT charging provisions (see INTM262300)
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<img>PLANNING PORTAL logo</img>
Application for a non-material amendment following a grant of planning permission. Town and Country Planning Act 1990
21 OCT 2017
Publication of applications on planning authority websites Please note that the information provided on this application form and in supporting documents may be published on the Authority's website. If you require any further clarification, please contact the Authority's planning department.
Please complete using block capitals and black ink. It is important that you read the accompanying guidance notes as incorrect completion will delay the processing of your application.
<table>
<tr>
<td colspan="2">
**1. Applicant Name and Address**
</td>
<td colspan="2">
**2. Agent Name and Address**
</td>
</tr>
<tr>
<td>Title:</td>
<td>MR</td>
<td>Title:</td>
<td>MR</td>
</tr>
<tr>
<td>First name:</td>
<td>________</td>
<td>First name:</td>
<td>JOHN</td>
</tr>
<tr>
<td>Last name:</td>
<td>MIDDLETON</td>
<td>Last name:</td>
<td>MC GARRY</td>
</tr>
<tr>
<td>Company (optional):</td>
<td></td>
<td>Company (optional):</td>
<td>ENTRUST</td>
</tr>
<tr>
<td>Unit:</td>
<td></td>
<td>Unit:</td>
<td></td>
</tr>
<tr>
<td>House number:</td>
<td></td>
<td>House number:</td>
<td></td>
</tr>
<tr>
<td>House suffix:</td>
<td></td>
<td>House suffix:</td>
<td></td>
</tr>
<tr>
<td>House name:</td>
<td>MIDDLETON FARM</td>
<td>House name:</td>
<td>DARESBURY INNOVATION CENTRE</td>
</tr>
<tr>
<td>Address 1:</td>
<td>BACK LANE</td>
<td>Address 1:</td>
<td>KICKNICK LANE</td>
</tr>
<tr>
<td>Address 2:</td>
<td></td>
<td>Address 2:</td>
<td>DARESBURY</td>
</tr>
<tr>
<td>Address 3:</td>
<td></td>
<td>Address 3:</td>
<td>CHESHIRE</td>
</tr>
<tr>
<td>Town:</td>
<td>CALTON</td>
<td>Town:</td>
<td></td>
</tr>
<tr>
<td>County:</td>
<td>STAFFORDSHIRE</td>
<td>County:</td>
<td></td>
</tr>
<tr>
<td>Country:</td>
<td>UNITED KINGDOM</td>
<td>Country:</td>
<td>UNITED KINGDOM</td>
</tr>
<tr>
<th colspan="2">Postcode:</th><th colspan="2">Postcode:</th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><th colspan="2"></th><table cellspacing='0' cellpadding='0'>
<tr style='border-top: 1px solid #ccc; border-bottom: 1px solid #ccc;'>
<td style='padding: 5px;'>[Date: 2011-01-04] [8minisc: 3136 $]</table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table></table/></div>
<div class='content'>
<p>This document is confidential and contains sensitive information.</p>
<p>The information contained in this document is subject to copyright protection. Any unauthorised copying, distribution or disclosure is strictly prohibited.</p>
<p>This document is intended for use by the recipient only. It must not be passed on to any other person or used for any other purpose without prior written consent of the sender.</p>
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<p>This document may contain links to external websites which are not under our control. We cannot be held responsible for the content or accuracy of such external sites. Please be advised that we do not guarantee the security of any information you may provide to us through these links.</p>
<p>We recommend that you use secure web browsers when accessing our website. We also recommend that you use a secure connection when sending us any personal data via email.</p>
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3. Site Address Details
Please provide the full postal address of the application site.
Unit: ____________ House number: ____________ House suffix: ____________
House name: MIDDLETOWN FARM
Address 1: BACK LANE
Address 2: CALTON
Address 3: STOKE-ON-TRENT
Town:
County:
Postcode (optional): ST10 5JX
Description (optional): Description of location or a grid reference.
(must be completed if postcode is not known):
Easting: 410297
Northing: 350166
Description:
4. Pre-application Advice Has assistance or prior advice been sought from the local authority about this application? ☐ Yes ☑ No If Yes, please complete the following information about the advice you were given. (This will help the authority to deal with this application more efficiently). Please state if the full contact details are not known, and then complete as much as possible: ☐ Officer name: Reference: Date of advice (DD/MM/YYYY): \_\_\_\_\_\_\_\_\_\_\_\_ Details of pre-application advice received: \_\_\_\_\_\_\_\_\_\_\_\_
5. Eligibility Do you, or the person on whose behalf you are making this application, have an interest in the part of the land to which this amendment relates? ☑ Yes ☐ No
If you have answered No to this question, you cannot apply to make a non-material amendment.
If you are not the sole owner, has notification under article 9 of the DMPO been given? ☐ Yes ☐ No ☑ Not Applicable
If you have answered No to this question, you cannot apply to make a non-material amendment.
If you have answered Yes to this question, please give details of persons notified:
<table>
<thead>
<tr>
<td>Person Notified</td>
<td>Address</td>
<td>Date of Notification</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
6. Authority Employee / Member With respect to the Authority, I am: (a) a member of staff (b) an elected member (c) related to a member of staff (d) related to an elected member
Do any of these statements apply to you? ☐ Yes ☑ No
If yes please provide details of the name, relationship and role
\<page_number>SDate: 2011-01-06 PS Division 3136 S\</page_number> 7. Description Of Your Proposal
Please provide a description of the approved development as shown on the decision letter, including application reference number and date of decision in the sections below. Please also provide the original application type:
DESCRIPTION: INSTALLATION OF 21 X 100W SOLAR PANELS TO THE SOUTH FACING ROOF PLANE OF THE DOMESTIC GARAGE.
Reference number: NP/SM/0811/0789 Date of decision (DD/MM/YYYY): 5/10/2011
What was the original application type? (e.g. 'Full', 'Householder and Listed Building', 'Outline') FULL
For the purpose of calculating fees, which of the following best describes the original application type?
- useholder development: development to an existing dwelling-house or development within its curtilage ☑ Other: anything not covered by the above category ☐
8. Non-Material Amendment(s) Sought
Please describe the non-material amendment(s) you are seeking to make: CHANGE OF POSITIONING OF SOLAR PANELS ON ROOF TO 700MM FROM EDGE OF ROOF.
Are you intending to substitute amended plans or drawings? ☑ Yes ☐ No
If Yes, please complete the following: Old plan/drawing number(s): No numbers included. New plan/drawing number(s): 001, 002
Please state why you wish to make this amendment: TO AVOID PANELS BEING LOCATED IN SHADE OF SUNLIGHT - MAXIMISING THE PANELS PRODUCTIVITY + CARBON FOOTPRINT REDUCTIONS.
ID sec: 2011-01-06 45 Shrewsbury 3136 S **9. Application Requirements - Checklist**
Please read the following checklist to make sure you have sent all the information in support of your proposal. Failure to submit all information required will result in your application not being accepted. It will not be accepted until all information required by the Local Planning Authority has been submitted.
The original and 3 copies of a completed and dated application form:
☑
The original and 3 copies of other plans and drawings or information necessary to describe the subject of the application:
☑
The correct fee:
☑
**10. Declaration**
I/we hereby apply for planning permission/consent as described in this form and the accompanying plans/drawings and additional information.
Signed - Applicant: \_\_\_\_\_\_\_\_\_\_\_\_ Or signed - Agent: <signature>John McGarry</signature> Date (DD/MM/YYYY): 10/10/2011
**11. Applicant Contact Details**
Telephone numbers
<table>
<tr><td>Country code:</td><td>National number:</td><td>Extension number:</td></tr>
<tr><td></td><td></td><td></td></tr>
<tr><td>Country code:</td><td>Mobile number (optional):</td><td></td></tr>
<tr><td></td><td></td><td></td></tr>
<tr><td>Country code:</td><td>Fax number (optional):</td><td></td></tr>
<tr><td></td><td></td><td></td></tr>
<tr><td>Email address (optional):</td><td colspan="2"></td></tr>
</table>
**12. Agent Contact Details**
Telephone numbers
<table>
<tr><td>Country code:</td><td>National number:</td><td>Extension number:</td></tr>
<tr><td>01925</td><td>60-72-38</td><td></td></tr>
<tr><td>Country code:</td><td>Mobile number (optional):</td><td></td></tr>
<tr><td></td><td></td><td></td></tr>
<tr><td>Country code:</td><td>Fax number (optional):</td><td></td></tr>
<tr><td></td><td></td><td></td></tr>
<tr><td>Email address (optional):</td><td colspan="2">john@en-trust.co.uk.</td></tr>
</table>
**13. Site Visit**
Can the site be seen from a public road, public footpath, bridleway or other public land? ☐ Yes ☑ No
If the planning authority needs to make an appointment to carry out a site visit, whom should they contact? (Please select only one) ☑ Agent ☐ Applicant ☐ Other (if different from the agent/applicant's details)
If Other has been selected, please provide: Contact name: \_\_\_\_\_\_\_\_\_\_\_\_ Telephone number: \_\_\_\_\_\_\_\_\_\_\_\_
Address: \_\_\_\_\_\_\_\_\_\_\_\_
\<page_number>SDate: 2011-01-04 #5 Stamburns 3136 S\</page_number>
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# BETTER ENVIRONMENT, BETTER HEALTH
A GLA guide for London's Boroughs London Borough of Lewisham
<img>A park scene with people sitting at tables by a pond, surrounded by trees in autumn colors.</img>
MAYOR OF LONDON BETTER ENVIRONMENT, BETTER HEALTH
COPYRIGHT
Greater London Authority November 2013
Published by Greater London Authority City Hall The Queen's Walk More London London SE1 2AA www.london.gov.uk enquiries 020 7983 4100 minicom 020 7983 4458 ISBN Photographs © Copies of this report are available from www.london.gov.uk
Please print and circulate widely
\<page_number>i\</page_number> BETTER ENVIRONMENT, BETTER HEALTH
# CONTENTS
<table>
<tr>
<td>CONTENTS</td>
<td>1</td>
</tr>
<tr>
<td>FOREWORD</td>
<td>2</td>
</tr>
<tr>
<td>INTRODUCTION</td>
<td>3</td>
</tr>
<tr>
<td>GREEN SPACES</td>
<td>5</td>
</tr>
<tr>
<td>ACTIVE TRAVEL & TRANSPORT</td>
<td>8</td>
</tr>
<tr>
<td>SURFACE WATER FLOOD RISK</td>
<td>12</td>
</tr>
<tr>
<td>AIR QUALITY</td>
<td>15</td>
</tr>
<tr>
<td>HEALTHY FOOD</td>
<td>18</td>
</tr>
<tr>
<td>FUEL POVERTY</td>
<td>21</td>
</tr>
<tr>
<td>OVERHEATING</td>
<td>24</td>
</tr>
<tr>
<td>REFERENCES</td>
<td>28</td>
</tr>
<tr>
<td>FURTHER READING</td>
<td>31</td>
</tr>
<tr>
<td>PUBLIC HEALTH OUTCOMES FRAMEWORK</td>
<td>32</td>
</tr>
<tr>
<td>Data Appendix</td>
<td>35</td>
</tr>
<tr>
<td>Acknowledgements</td>
<td>42</td>
</tr>
</table>
\<page_number>1\</page_number> BETTER ENVIRONMENT, BETTER HEALTH
# FOREWORD
The Mayor’s vision is for London to be the ‘greatest city on earth’ – this means making the city a great place for Londoners to live, relax, work and raise a family, whilst being attractive to investors. However there are significant inequalities in the health and quality of Londoners’ lives. 2009-11 ONS figures show that average *healthy* life expectancy reduces by almost one year for every stop eastwards on the District Line between the boroughs of Richmond and Tower Hamlets – a difference of 18 years. The reasons for this are complex but the evidence points strongly to the important impact of the wider determinants of health. This inequality means some Londoners are unable to benefit from and contribute to the city’s dynamism because of preventable health problems. The Mayor wants to ensure all Londoners have the chance to participate in what London has to offer.
Furthermore, if we are to maintain and improve London’s position as the attractive world city it is, we need to create a resilient city, able to deal with extreme weather events, and a city that offers a high quality of life with green spaces, a fantastic public realm and a pleasant, healthy environment.
Local authorities have a unique role to play in achieving these goals, and with their new responsibilities for public health they have a new set of capabilities and levers for catalysing change. *Better Environment, Better Health* offers a bespoke guide to each of London’s thirty three boroughs, describing the impact of seven wider environmental determinants of health on their specific populations and highlighting possible actions that could be taken to promote a better environment leading to better health and well-being, overall, for Londoners.
For example we know that by encouraging walking and cycling we are not only helping to improve London’s air quality but also cardiovascular health, whilst reducing levels of obesity. The guides demonstrate how such an approach can be taken on a range of issues, without necessarily adding to the financial burden on boroughs’ already squeezed budgets, just by doing things differently.
We hope you will find value in the guide and will use it to drive improvements locally to create strong environments which promote health and well-being, and are resilient.
Finally, we would like to thank the project team for writing the guides and their drive in taking this project forward.
<signature>Victoria Bowick</signature> Victoria Bowick Deputy Mayor of London and Mayoral Health Advisor
<signature>Matthew Pencharz</signature> Matthew Pencharz Senior Advisor for Environment and Energy
\<page_number>2\</page_number>
# INTRODUCTION
What is likely to shape the health of our communities over the next twenty or thirty years? What will improve quality of life? What will help people live longer, particularly those most likely to die early? What will improve people’s quality of life, reducing years lost to disability and poor mental and physical health? What will improve the health and wellbeing of children and young people? The United States Center for Disease Control and Prevention (CDC) has argued that in the 20th century public health measures added 25 years to the life of an average American.¹ In its list of top ten interventions half are closely connected to the environment. The same list would be likely to apply to the UK and London. In the 21st century public health measures, including measures seeking to improve the environment, are likely to be as important in supporting good health as improvements in healthcare. We need to prepare, assess and plan for extreme weather events and their impacts not just to improve Londoners’ health and wellbeing but to increase economic prosperity, for business and service continuity and to strengthen community resilience.
In this guide we focus on seven environmental issues and their relationship to health:
- Green spaces
- Active travel & transport
- Surface water flood risk
- Air quality
- Healthy food
- Fuel poverty
- Overheating
For each of these we ask certain questions:
- What is the issue and how do we measure it?
- What is its impact on health? What is the evidence?
- Who will experience the impact most?
- What is the local borough picture?
- What are the key actions to promote good health?
We also provide links to the Public Health Outcomes Framework and suggested further reading. The aim of the bespoke borough guides is to maximise opportunities for improving health and wellbeing, as well as enhancing community resilience. They are aimed at professionals working in health, environment, regeneration, economic development or any aspect of shaping local places, as well as local people interested in improving the quality of life in their communities. Where issues are locally relevant we hope this document will help to start a conversation which enables them to be identified and addressed in borough Joint Strategic Needs Assessments (JSNA) and health and wellbeing.
\<page_number>3\</page_number> strategies. These guides do not cover all of the wider environmental determinants of health. For example, they do not look at some aspects of housing (such as overcrowding), workplace health, wider resource use, access to services, water resource management or noise pollution. More broadly, issues of planning and environmental control tie many of these areas together. How we shape ongoing development and use of our town centres, neighbourhoods and business districts presents opportunities to maximise the health of users: residents, employees and visitors. Similarly, environmental consideration provides the scope to address potential risk to resilience, health and well-being as well as promoting good practice amongst, for example, businesses, landlords and facilities managers.
\<page_number>4\</page_number> GREEN SPACES
Accessible green space has long been recognised as a wider environmental determinant of good health. Wide ranging research shows strong evidence that outdoor spaces have a beneficial impact on both physical and mental well-being². When considering green space it is helpful to think about both access and use: availability being a necessary but insufficient indicator and determinant of use. A range of data are available on both access and use including the Natural England MENE survey (frequency, mode of access, reasons³); London.gov.data: ‘Access to Public Open Space and Access to Nature by Ward⁴; and Sport England: Active people Survey (physical activity rate)³.
**What is the impact on health?**
Accessible, safe green space is shown to reduce mental distress, depression and Attention Deficit-Hyperactivity Disorder (ADHD) symptoms in children. Access to a garden or living a short distance to/from green areas, as well as having the potential to lead to improvements in the environment, are associated with a general improvement in mental health and wellbeing.⁶ Both the Marmot Review and NICE have highlighted evidence that the presence of good quality outdoor green spaces encourages physical activity⁷ which is important across a wide range of health issues such as cardiovascular diseases, obesity, type 2 diabetes and mental/physical health. Increasing and improving the proportion of green spaces in urban centres also has a secondary positive impact on health through other wider environment determinants of health such as urban heat-island effect, surface flood risk and air quality.
**Who will experience the greatest impact?**
- Urban residents (through impact on quality of life)
- Older people and children
- People suffering from obesity, cardio-vascular diseases, diabetes
- People suffering from mental distress and depression.
**The Lewisham Picture**
- 23 per cent of the borough surface has green space coverage; 8 per cent below the London average.⁸
- Within Lewisham, more than 40 per cent of households in 3 out of 18 wards have deficient access to nature.⁹
- 21 per cent of Lewisham’s population participate 5 times per week in physical activity for at least 30 minutes and nearly 56 per cent participate once a week, which equals the London average.¹⁰
- Lewisham’s adult obesity prevalence is 24 per cent, which is higher than the London rate, 21 per cent, and equal to the national rate, 24 per cent.¹¹
\<page_number>5\</page_number> **Figure 1 Green Spaces in Lewisham**
Pink coloured areas are defined as area of deficiency in access to local, small and pocket parks. Proximity rate is +/- 400m from households.
<img>Pocket Park Areas of Deficiency London Borough of Lewisham</img>
http://www.gigl.org.uk/Ourdatasets/OpenSpace/tabid/117/Default.aspx
**Potential actions:**
Given the significant relationship between health and green spaces in the urban environment some key actions can be identified to improve quality and proximity in order to enhance access and use. This includes considering:
- All London Green Grid Supplementary Planning Guidance to improve biodiversity function and connectivity of green spaces;¹²
- The Green Flag Award system to improve quality and promote access to green spaces.¹³
- Promoting physical activity in outdoor spaces through “outdoor gyms” and “guided walking exercise prescription” as a way to recover from cardiovascular diseases and illness.¹⁴
See also sections on surface water flood risk and healthy food.
\<page_number>6\</page_number> **Case Study: Regenerating Burgess Park, London Borough of Southwark**
The regeneration of Burgess Park, in Southwark, was underpinned by a comprehensive plan that made the focus of the park a place for healthy living, showing how to combine ‘natural’ regeneration with health promotion¹⁵. This has also included opportunities for investment, growth and jobs. For example improved access to, and routes through, the park, alongside enhancements to the lakes, planting, lighting and on-site facilities, has made the park a much more attractive and welcoming place, encouraging play and informal recreation. The park also has over 10 km of running, cycling and fitness routes and a new BMX track, to cater for more formal sport and physical activity.
Contact: Ruth Miller, Burgess Park Project Manager ruth.miller@southwark.gov.uk
<img>A grassy park with trees and buildings in the background.</img>
| Links to Public Health Outcomes Framework | Suggested further reading | |---|---| | **Primary** | • Planning for Health (2009) HUDU | | 1.16 Utilisation of outdoor space for exercise/health reasons | • The Marmot review (2010) | | **Additional (for example)** | www.instituteofhealthequity.org | | 2.6 Excess weight in 4-5 and 10-11 year olds | • www.nice.org.uk | | 2.13 Proportion of physically active and inactive adults | • Benefit of Urban Parks, IFpra (2013): | | 2.23 Self-reported well-being | • www.ecehh.org | | | • www.naturalengland.org.uk | | | • www.hphpcentral.com | | | • CMO (2011) Start Active, Stay Active |
\<page_number>7\</page_number>
# ACTIVE TRAVEL & TRANSPORT
Travel is essential for connecting people to employment, recreation, education and health and community services. Most people travel in some way every day, making it part of everyday life and therefore a factor that can greatly affect the health of all London’s citizens¹⁶. Travel includes walking and cycling, use of private vehicles, public transport and goods vehicles. In London more than 80 per cent of journeys take place on roads either by motor vehicle, bike or on foot; therefore road transport and street environments have a very significant impact on health and wellbeing¹⁷. There are inequalities in the impact of transport upon health, with the most deprived people and those using the most heavily trafficked roads experiencing the most negative health impacts¹⁸. Only a few London boroughs include a dedicated transport focus in their Joint Strategic Needs Assessment (JSNA), suggesting the impact of travel on health may be underestimated.
**What is its impact on health?**
A comprehensive public transport network provides many health benefits including access to services, reducing social isolation and increasing work and social opportunities. A major benefit of travel in London is that it enables people to maintain regular physical activity via walking (particularly as part of public transport trips) and cycling. Only around 20 per cent of Londoners currently meet the minimum recommendation for physical activity of 150 minutes per week¹⁹. Everyday physical activity is essential for good physical and mental health, contributing to the prevention of over 20 diseases including obesity, type 2 diabetes, cardiovascular disease and some cancers²⁰. Cycling and walking can be easily incorporated into daily routines to meet physical activity needs. In London, approximately 4.3 million trips currently made by car or public transport have been identified as easily cyclable²¹.
Creating opportunities which enable Londoners to walk and cycle has other potential health benefits including access to safe, green spaces. This could lead to reductions in congestion which, in turn, may reduce overheating and improve air quality. The negative impacts of transport in London are concentrated in the London’s most heavily trafficked streets, where high concentrations of vehicles contribute to air and noise pollution and increased injury risk²². This can create the impression of a hostile environment for walking and cycling and can exacerbate health inequalities. Motor vehicles are responsible for 41-60 per cent of air pollutants in the UK, which have an impact on cardiovascular and respiratory diseases. People who live on or use heavily trafficked streets are the most adversely affected.
\<page_number>8\</page_number> **The Lewisham Picture**
- On average 476,000 trips per day are made by people originating in Lewisham. 23
- Average numbers of people participate in active travel, with the percentage of people cycling to work level with the Greater London average.
- Use of motor vehicles is 2 per cent below the Greater London average. 24
- There was an average of 968 casualties and 5 fatalities per year on Lewisham’s roads between 2005 and 2009 - one of the highest in London.
- The most heavily used road (excluding motorways) is the A205 with an average daily flow of 53,000 motor vehicles. 25
- The Borough currently has one cycle super highway and another is proposed in the Mayor’s ‘Vision for Cycling’. 26
<img>Figure 2 Journeys in the Lewisham by modal share</img>
Source: London Travel Demand Survey
**Potential actions:**
- Designing street environments to encourage walking and cycling.
- Designing and engineering roads to reduce motor vehicle speed and implement 20mph zones where appropriate.
- Promoting a network of roads and paths that are safe and convenient for cycling and walking.
- Supporting walking and cycling by ensuring that, where possible, the needs of cyclists and pedestrians are considered before other road users.
\<page_number>9\</page_number>
- Promoting cycling through information, maps and cycle hire schemes.
- Improving safety of heavily trafficked streets where most traffic related health risk is concentrated. See also section on air quality.
**Case Study: Cycling across Hackney**
Hackney has the highest levels of cycling in London. There are more cyclists than motorists in many parts of the borough. This is evidenced by the fact that 6 per cent of journey's originating from Hackney are on bike, higher than any other borough in London²³. Since 2001 the Council has sought to increase the areas that are cycle friendly by improving the design and increasing the accessibility of the road network for cyclists.²³
- Road safety has been improved by reducing motor traffic speeds and volumes. The aim is to enforce 20 mph speed limits across the borough on all residential roads.²³
- Systematic improvements have been made to the public realm for pedestrians, cyclists and public transport users and a number of designated cycle routes such as the Hackney Park cycle route have been created.²³
- Hackney has invested in a range of cycle parking bays including lockers in estates, hangars (on street bike/storage lockers), on residential streets and large bike ports at transport hubs such as railway stations and town centres.
- A comprehensive free cycling training programme has targeted a range of audiences.²³
Contact: Ben Kennedy, Hackney Council, ben.kennedy@hackney.gov.uk
Example of a cycling improvement scheme Wordsworth Road/Palatine Road, Hackney
<img>
Left image: A building with a green awning and a sign that says "Hackney Park".
Right image: A road with two double yellow lines.
</img>
<table>
<tr>
<td>Links to Public Health Outcomes Framework</td>
<td>Suggested further reading</td>
</tr>
<tr>
<td><strong>Primary</strong></td>
<td></td>
</tr>
<tr>
<td>2.13 Proportion of physically active and inactive adults</td>
<td>Healthy Transport Healthy Lives, British Medical Association (BMA)</td>
</tr>
<tr>
<td><strong>Additional (for example)</strong></td>
<td>NICE Walking and Cycling, Local Government Briefing</td>
</tr>
<tr>
<td>1.16 Utilisation of outdoor space for exercise/health reasons</td>
<td>Mayors Vision for Cycling, 2013 GLA</td>
</tr>
<tr>
<td>2.7 Hospital admissions caused by unintentional and</td>
<td>London Borough of Hackney Sample of Schemes for cycling & public realm (2013)</td>
</tr>
</table>
\<page_number>10\</page_number>
<table>
<tr>
<td>deliberate injuries in under 18s<br>3.1 Fraction of mortality attributable to particulate<br>air pollution</td>
<td>• What are the health benefits of active<br>travel: A systematic review of trials and<br>cohort studies, PloSOne, 8</td>
</tr>
</table>
\<page_number>11\</page_number> SURFACE WATER FLOOD RISK
Surface water flooding describes flooding on the land surface from sewers, drains, groundwater and runoff from land after a heavy rainfall event™. Surface water flooding events are difficult to predict but can cause significant disruptions to local populations and to health and other services. London is vulnerable to surface water flooding because some areas have poor drainage systems and large areas of impervious surfaces™. Approximately 480,000 London properties and ten hospitals are at risk of surface water flooding in London™. Surface water flooding is already a considerable risk and one that, without action, will increase in London due to population growth, urban expansion and ageing of drainage systems. In addition, changing climate patterns are likely to increase the number and intensity of large magnitude precipitation events leading to a likelihood of more frequent and larger magnitude surface water flooding events. Local Flood Authorities are responsible for mapping, assessing and managing local flood risks, identifying whom and what is at risk and the vulnerability of services such as hospitals and schools to surface water flooding.
The Mayor’s Regional Flood Risk Appraisal identifies surface water flood risk as the most likely cause of flooding in London. The GLA, Thames Water, the Environment Agency and London Councils have been developing and delivering a programme to manage this risk, known as Drain London.
There are multiple ways in which flooding can create health risks:
- Fast flowing water has multiple potential hazards such as moving debris which can cause physical injury and even death. Contaminated flood water containing pollutants such as chemicals and sewage can cause disease.
- Flooding of health facilities results in disruption to access to healthcare facilities, with increased difficulty providing routine medical care and increased patient admissions in neighbouring facilities.
- Exhaust emissions from machinery operating in the clean-up process and recovery from a flood can cause carbon monoxide poisoning™.
- Disruptions in flood recovery, fear of repeat events and added effects of stress due to insurance claims and refurbishing properties can cause mental health problems. Up to 25 per cent of people who experienced flooding in their homes in the major UK floods in 2007 experienced mental health issues after the event™.
Who might experience the greatest impact?
Some areas in London are at risk of surface water flooding particularly where there is inadequate sewer/drainage capacity, and some groups are at greater risk™. These include people with limited mobility or/and those who are dependent on medication and/or regular healthcare at home or at a
\<page_number>12\</page_number> healthy/social care facility. Those with less flood awareness due to weak social networks and limited or no access to public warning systems and/or information are also at risk.
**The Lewisham Picture** The Environment Agency will be releasing a national surface water flood risk map for each London borough in December 2013. Whilst this will show the areas at risk it should also be noted that any low lying area could also potentially be affected but may not be visible on the maps because of the difficulty in assessing surface water flood risk. The maps will provide borough-specific assessments.
**Potential actions:**
- Developing emergency plans to reduce effects of surface water flood risk.
- Including integrated emergency planning for priority groups/services. Developing land management strategies such as green roofs to reduce likelihood of surface water flooding.
- Incorporating Sustainable Urban Drainage Systems (SuDS) as an alternative to traditional approaches to managing runoff.
- Identifying vulnerable and isolated people and implementing early warning systems and evacuation plans.
- Planning for disruption of infrastructure and increase in patient volumes at health and social care facilities. See also section on green spaces and healthy food
**Case studies:**
\*\*Purley (LB Croydon) community flood plan \*\*6
- Purley is vulnerable to flooding and experienced a large flood event in 2007. In response the community developed a Community Flood Plan.
- The flood plan is owned by the community, and aims to reduce the impact of flooding.
- It advises the community on how to prevent flooding and what to do if it happens.
- It is a low cost but effective way of reducing a wide range of impacts of flooding.
- The community has created a number of flood wardens who play a central role in advising local citizens and businesses on the flood risk and actions they can take to reduce the impact and nature of flood events.
\*\*Surface water flooding event, London, July 2007 \*\*7
- In July 2007, 121mm of rainfall fell in London, mostly on July 20th, causing some significant surface water flooding.
- Approximately 400 properties were flooded, 158 schools affected and two hospitals were closed as a result.
- The closure of St George’s Hospital caused major disruption.8
\<page_number>13\</page_number>
<table>
<tr>
<td>Links to Public Health Outcomes Framework</td>
<td>Suggested further reading</td>
</tr>
<tr>
<td>Primary:</td>
<td>GLA Regional Flood Risk Appraisal, 2013<br>Drain London-<br>http://www.london.gov.uk/priorities/environment/loo king-after-londons-water/drain-london Programme London Climate Change Adaptation Strategy</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>Multi-Agency Flood Plan, LB Havering, 2012<br>Floods in the European Union, Health effects and their prevention (2013), World Health Organisation (WHO)</td>
</tr>
<tr>
<td>3.7 Comprehensive, agreed inter-agency plans for responding to public health incidents and emergencies</td>
<td></td>
</tr>
<tr>
<td>3.6 Public sector organisations with a board-approved sustainable development management plan</td>
<td></td>
</tr>
</table>
\<page_number>14\</page_number>
# AIR QUALITY
Good air quality has long been recognised a basic requirement for good health. The UK Air Quality Standards Regulations 2000, updated in 2010, set standards for a variety of pollutants that are considered harmful to human health and the environment. These are based on EU limit values and are for a range of air pollutants: sulphur dioxide, nitrogen dioxide, oxides of nitrogen, particulate matter (PM₁₀ and PM₂₅), lead, benzene, carbon monoxide, benzo(a)pyrene and ozone.
Much of the focus of air quality action is on nitrogen dioxide (NO₂) and particulate matter (PM). Particulate matter (PM10 and PM2.5) refers to a complex mixture of non-gaseous particles of varied physical and chemical composition. It is categorised by the size of the particulate. In London, road traffic is a significant source of PM mainly from exhaust emissions and wear, tyre and brake wear and dust from road surfaces.
In addition, older furnaces and boilers may have an impact on the overall air quality environment within a house. Poor air quality could potentially compromise health and well-being.
It should be noted that exceedences apply across the whole of London, particularly near built up areas and major roads.
## What is the impact on health? What is the evidence?
Long-term exposure to poor air quality can contribute to the development of chronic diseases and can increase the risk of respiratory illness. In Greater London it is estimated that the equivalent of 4,267 deaths in London in 2008 were attributable to long-term exposure to PM2.5. It should be noted that this does not relate to real individuals, but is a statistical construct whereby all health impact associated with air pollution are amalgamated. Since everyone breathes the air where they are, a more realistic interpretation is that the risks are distributed across the whole population, with a total mortality impact of the concentrations equivalent to that number of deaths. At high concentrations NO₂ can result in inflammation of a person's airways; long-term exposure can affect lung function and respiratory symptoms and can increase asthma symptoms. PM aggravates respiratory and cardiovascular conditions. The smaller the particle, the deeper it will deposit within the respiratory tract. The impact of PM₁₀ on health is especially significant.
## Who may experience the greatest impact?
- People who live or work close to areas with poor air quality
- People with respiratory problems
- People with heart problems
\<page_number>15\</page_number> **The Lewisham Picture**
- On some of Lewisham’s main arterial roads there are high concentrations of NO2 (see map) which are above the recommended limits.
- Statistical tools are used by public health specialists to try to understand the comparative impact of different factors on mortality. Using these techniques, Lewisham is the 14th most affected area by poor air quality in London. 33
- In 2011 the GLA identified nine Air Quality Focus Areas within Lewisham.
<img>Figure 3 NO<sub>2</sub> emissions on Lewisham Roads</img> © Crown Copyright and database right 2013. Ordnance Survey (11865229) GLA
**Potential actions:**
- Promoting a modal shift to encourage higher proportions of walking, cycling and use of public transport and less use of cars. This could include a wide range of measures from systemic action within the planning and transport system to one-off events such as car free days. Such measures could lead to significant improvements in air quality.
- Promoting energy efficiency in homes, public and commercial offices. For more information see the Energy Company Obligation.34
- Individual steps could be taken to: a) reduce personal contribution to air pollution such as engine idling; and, b) reduce risk of exposure where it is potentially hazardous to health (particularly for people with underlying vulnerabilities) through systems such as airText. See also section on active travel and transport.
\<page_number>16\</page_number> **Case studies:** **Reducing exposure – City Air** ‘CityAir’ was launched in May 2011 in the City of London to encourage businesses to help to improve local air quality.
Best practice guidance and case studies were produced to provide advice to City businesses on reducing emissions from buildings, encouraging staff to walk and cycle in the City, using purchase contracts to require low polluting vehicles and building air quality targets into environmental reporting. Information is available at www.cityoflondon.gov.uk/cityair. To date over 50 businesses have been engaged, representing over 40,000 employees. CityAir employee walking campaigns have been very popular. Contact: Ruth Calderwood ruth.calderwood@cityoflondon.gov.uk
**Mitigating impact – Croydon Air Text** In 2005 the London Borough of Croydon developed with the European Space Agency and Cambridge Environment Research Consultants an air quality forecasting service called ‘airTEXT’. AirTEXT provides information on pollution levels in the borough using ‘low’, ‘moderate’ and ‘high’ bandings. Whenever moderate or high pollution levels are expected, subscribers to airTEXT receive a text message, call or voicemail. This enables recipients to respond, if necessary, for example by taking a different route/mode of transport to work, keeping their medication with them or not exercising outside on certain days. In 2012 a new airTEXT app was developed which provides information on four health-relevant alerts: UV, pollen, air quality and temperature. Currently around 10,000 people use the airTEXT service through text, Twitter or the website.
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Primary</strong></td>
<td rowspan="3">
<ul>
<li>GLA Local Authority Air Quality Guides<br/>www.londonair.org.uk<br/>www.comeap.org.uk<br/>NICE Guidance PH41 Walking and cycling: local measures to promote walking forms of travel or recreation<br/>Kilbane-Dawe (2012) 14 Cost Effective Actions to Cut Central London Air Pollution</li>
</ul>
</td>
</tr>
<tr>
<td><strong>3.1 Fraction of mortality attributable to particulate air pollution</strong></td>
</tr>
<tr>
<td><strong>Additional (for example)</strong></td>
</tr>
<tr>
<td><strong>2.13 Proportion of physically active and inactive adults</strong></td>
<td></td>
</tr>
<tr>
<td><strong>1.14 The percentage of the population affected by noise</strong></td>
<td></td>
</tr>
</tbody>
</table>
\<page_number>17\</page_number>
# HEALTHY FOOD
Access to healthy food is an important wider environmental determinant of health. Improving the food environment means enhancing the availability of affordable and nutritious food and recognising the relationship between the geography of food retailing and dietary patterns. It also means considering of sustainable production, processing and delivery. Policy attention has focused on the role of local planning measures and the impact of large supermarkets, provision of food growing places, the physical environment and education on a healthy diet. Many factors influence the availability of healthy food. The predominance of unhealthy food and low income may interact with environmental factors to limit access.
Access to healthy food can be measured through the following indicators: cost, quality, geography, mode of transportation, physical proximity and socio-economic variables.
**What is the impact on health? What is the evidence?**
Reduced access to healthy food and the ready and cheap availability of unhealthy foods (such as fast-food and takeaway outlets) increases the risk of a diet based on high consumption of sugar, saturated fat and salt and low in vegetables and fruit. This could lead to obesity, cardiovascular disease, type 2 diabetes and some cancers associated with obesity. The National Obesity Observatory estimated the cost to the UK economy of overweight and obesity to be £15.8 billion per year (2007). This has an impact on children as well as adults. Studies have also found that an increased density of fast food restaurants is directly related to increased Body Mass Index (mass index showing body fat based on height and weight) and that having a fast food outlet within 160m of a school is associated with a 5 per cent increase in obesity.
**The Lewisham Picture**
- Lewisham’s adult obesity rate is 24 per cent. This is higher than the London average (21 per cent), and equal to the national average (24 per cent).38
- Lewisham’s obesity rate among primary school children (year 6) is 25 per cent. This is higher than the national and London rates (19 and 23 per cent respectively).39
- In 14 out of 36 Middle Super Output Areas (two darkest blue areas on map), 36–43 per cent of the total population consume five portions of fruits and vegetables a day.40
- 21 per cent of Lewisham’s population participate five times per week in physical activity for at least 30 minutes and 56 per cent participate once a week.41
\<page_number>18\</page_number> **Figure 4** Healthy food consumption in Lewisham Model based consumption of fruit and vegetables in Lewisham by ward, 2006-8 LA population consuming five portions of fruits and vegetables a day.
<img>A map showing the percentage of residents consuming five portions of fruits and vegetables a day across different wards in Lewisham. The map uses a color gradient to represent different ranges of percentages. Dark blue represents the highest range (37.60 - 42.90), followed by medium blue (36.00 - 37.40), light blue (35.00 - 36.00), and light grey (23.80 - 32.40). The legend indicates that each color represents equal count intervals.</img>
**Potential actions**
- Developing schemes to promote local and easily accessible healthy food from retailers (for example www.cieh.org/healthier-catering-commitment.html).
- Using planning controls to manage proliferation of fast-food outlets on high streets and near schools.
- Promoting the GLA Healthy Schools London Awards Initiative (www.healthyschoolslondon.org.uk). Healthy food choice in schools is recognised as a way to tackle obesity and chronic diseases caused by poor nutrition. This includes diet, education, and healthy meals provided at schools and accessible from nearby areas.
- Capital Growth (www.capitalgrowth.org) initiatives have the potential to promote community food growing. These activities reconnect people to the food system, engages them in issues such as where their food comes from, seasonality, healthy eating, and food security.
- Procuring from local food suppliers and retailers, signed up to the Healthier Catering Commitment Plan.
See also section on green spaces and surface flood risk.
\<page_number>19\</page_number> **Case Study: Fast-food Fix – LB Waltham Forest – Tackling the Takeaways: Making an Impact**
- Community engagement on ‘takeaways’ in the borough identified dissatisfaction with the number and location of 241 local hot food takeaways (HFT). This included schools, concerned that the proximity of HFTs to schools had a negative impact on healthy eating programmes.
- A HFT corporate steering group was established to:
- Ensure existing HFT businesses operated as responsibly as possible;
- Develop strategies to tackle the wider social, environmental and economic issues associated with the proliferation of HFTs in the borough.
**Achievements:**
- Supplementary planning documents were developed restricting the opening of new HFT shops. So far, 20 applications have been refused planning permission and only 4 HFTs have been given planning permission.
- HFTs in the borough have been reduced from 241 to 194
Contact: Gordon Glenday, Head of Planning Policy and Regeneration gordon.glenday@walthamforest.gov.uk
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Primary:</strong><br>2.11 Diet</td>
<td>NICE guidance: www.nice.org.uk<br>Takeaways Toolkit (2012): see <a href="www.london.gov.uk">www.london.gov.uk</a><br>District Action on Public Health: http://districtcouncils.info/;<br>CIEH Food Policy, (2013): www.cieh.org<br>Healthy People, Healthy Lives, (2011);<br>Good planning for Good Food: see www.sustainweb.org/publications/?id=192</td>
</tr>
<tr>
<td><strong>Additional (for example):</strong><br>2.6 Excess weight in 4-5 and 10-11 year olds<br>2.12 Excess weight in adults<br>2.17 Recorded diabetes</td>
<td></td>
</tr>
</tbody>
</table>
\<page_number>20\</page_number>
# FUEL POVERTY
There are three factors that can result in fuel poverty, often in combination: low income, poor energy efficiency in homes and increasing energy prices. A household is now defined as 'fuel-poor' if its total income is below the poverty line (taking into account housing energy costs) and its energy costs are higher than typical for its household type. Data on fuel poverty is collected from the English Housing Survey Domestic Fuel Inquiry and published annually by the Department of Energy and Climate Change (DECC). More than 560,000 households in London are estimated to be spending more than ten per cent of their basic income on energy (the previous official definition of fuel poverty). Fuel poverty has the potential to have an adverse impact on children already in poverty as well as to increase the numbers of children living in poverty. Fuel poverty is also known to have an impact on well-being as indicated in self-reported well-being surveys.
**What is the impact on health? What is the evidence?**
Fuel poverty can have a negative impact on health, especially on people with pre-existing medical conditions. Fuel poverty results in cold homes, exacerbating cardiovascular and respiratory conditions, rheumatoid arthritis and influenza, and negatively affects mental health. The effects of fuel poverty may be compounded by social isolation, poor emotional well-being, reduced mobility and poor diet. Cold homes are also known to affect cognitive performance. However, actual deaths are only one part of the problem. Age UK estimates the cost to the NHS of cold homes as £1.36 billion per year (not including additional costs to social services for subsequent care). The recent DECC fuel poverty framework attempts to monetise the health impacts of fuel poverty. It refers to a model estimating changes in people's health from the installation of energy efficiency measures (resulting from changes in the indoor temperature and pollutant exposure).
**Who might experience the greatest impact?**
Fuel poverty affects vulnerable groups such as older people, the group most likely to suffer excess winter deaths. Children, people with disabilities and/or those living in deprivation are also at greater risk of suffering from the effects of fuel poverty as they often need to spend longer time indoors and require heating for longer periods of time. Additionally, private sector tenants are at significantly greater risk of encountering the worst housing quality and are also least likely to access support or feel empowered to do anything about the issue.
\<page_number>21\</page_number> The Lewisham Picture
- The older population of Southwark is projected to rise from 26,600 (2012) to 32,100 (2025) and 44,800 (2040). 47
- A Fuel Poverty Risk score has been developed. There are no stark disparities between wards but overall the borough is at higher risk of fuel poverty with the ward of Rushey Green scoring 559th of all 625 London wards and presenting risks.
- No Lewisham wards that are at low risk of fuel poverty, but six are at high risk according to the fuel poverty risk indicator. No wards show significant improvement or reduction in their risk score between 2006-2010. 48
Figure 5 Fuel Poverty risk in Lewisham
<img>A map of Lewisham showing fuel poverty risk levels. The map uses a gradient from light green to dark green, with darker shades indicating higher risk. The legend on the right side of the map shows the ranges: -10, -8 - 4, -4 - 8, -8 - 10, 11 - 13.</img> Lewisham
Source: GLA (2013) Fuel Poverty Risk Indicators Tool, available on London Datastore
The Fuel Poverty Risk Index was developed by the London Assembly Health and Public Services Committee in their investigation into fuel poverty in London. It is calculated on the basis of twelve indicators across four sections:
Housing Dwellings without central heating Uninsulated cavity walls Lofts with less than 150mm insulation
Health Health Deprivation & Disability domain (ID2010) Standardised Mortality Ratio Incapacity benefit claimant rate
Older people People aged 60 and over Older people claiming pension credit
Worklessness Unemployment
Poverty Income support claimant rate Child poverty rates Households classified ‘fuel poor’
\<page_number>22\</page_number> Potential actions: The first key step to any intervention is to identify vulnerable areas/individuals and map the extent of the problem. Vulnerable individuals and households can be identified and supported through:
- Close collaboration with third-sector organisations which are working with vulnerable groups/isolated populations/people to refer or inform them of available support.
- Home energy improvements as a vital sustainable solution to fuel poverty. There are opportunities through initiatives such as the Green Deal and Energy Company Obligation™. The Mayor’s RE:NEW Programme support team™ can offer advice on funding, procurement and best practice to partner with energy efficiency providers. In addition, the issue of overheating should be taken into account when implementing any energy efficiency works especially wall and loft insulation. Whilst take up of the Green Deal to date has not been significant, it remains an important delivery mechanism to reduce fuel poverty in London. (See section on overheating).
- Promoting collaboration between local authorities and private landlords in line with upcoming energy efficiency legislation (2018 energy efficiency requirements™).
- Raising awareness of benefits entitlement and support through public health campaigns, working with third sector organisations and the local community. See also section on overheating and air quality.
Case Study: Barts Health in Tower Hamlets – Reducing Fuel Poverty Barts Health has recently established a partnership project with British Gas and Global Action Plan that aims to reduce fuel poverty in Tower Hamlets. Hospital staff, GPs and community groups refer patients from vulnerable groups or those people living in hard-to-treat homes to the Energy Companies Obligation, supporting the installation of energy efficiency measures in low-income households. The project will train and support 40 health professionals (GPs, outpatient care staff and community nurses) plus community groups. The partnership initially aims to target 200 homes. The initiative is not just a referral mechanism but will raise awareness among vulnerable groups, medical practitioners and the wider community on what steps could be taken to address fuel poverty. Such an initiative could be linked with other seasonal health initiatives such as winter flu jab promotion. Contact: Fiona Daly, Barts Health NHS Trust, fiona.daly@bartshealth.nhs.uk
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td>Primary</td>
<td>Marmot Review Team, 2011 – The Health Impacts of Cold Homes and Fuel Poverty</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>Age UK, 2012 - The Cost of Cold</td>
</tr>
<tr>
<td>1.17 Fuel poverty</td>
<td>Hills, 2012, Getting the measure of fuel poverty</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>DECC, 2013, Helping-households-to-cut-their-energy-bills</td>
</tr>
<tr>
<td>2.23 Self-reported well-being</td>
<td>DECC, 2013, Fuel Poverty, A Framework for future action.</td>
</tr>
<tr>
<td>4.15 Excess winter deaths</td>
<td>London Assembly, 2012, In from the cold? Tackling fuel poverty in London, GLA</td>
</tr>
</tbody>
</table>
\<page_number>23\</page_number>
# OVERHEATING
**What do we mean by overheating? How do we measure it?**
Extreme weather events are more likely to be a factor affecting people’s health in future years<sup>52</sup>. Heatwaves, such as the one in the summer of 2003 which caused the death of 2000 people, could become more frequent (London had an excess mortality of 42%, compared to England of 17%). The Urban Heat Island (UHI) effect means that urban areas tend to be hotter than rural areas. This is due to increased absorption of the sun on concrete compared with green or brown spaces, reduced cooling from breezes due to buildings and increased heat production from houses, industry, businesses and vehicles. This is especially relevant for London with its densely built-up central boroughs and high concentration of traffic and people. The UHI effect is not universally experienced across the city as it relates to availability of green space/water bodies, building density, amount of traffic and energy consumption. However there are particularly vulnerable spots in each borough, as well as vulnerable people across areas. (See maps below). When considering London as a whole, the costs associated with overheating mortality are expected to be around £7-78 million in the 2030s (473-712 heat-attributable deaths), by the 2050s, this could rise to £13-149 million (1200-1838 heat-attributable deaths)<sup>35</sup>.
**What is the impact on health?**
Overheating<sup>54</sup> can cause heat strokes, exacerbates existing cardiovascular and respiratory conditions and affects people with respiratory conditions due to a combination of overheating and poor air quality. A heatwave can also affect mental health with peak suicide and homicide rates reported during previous heatwaves in the UK. Research has shown a direct link between a temperature rise to more than 24°C and risk of death.<sup>55</sup> Additionally, people may suffer from heat-related illnesses, such as heat cramps, heat rash and heat syncope (fainting as a result of overheating). Overheating may lead to dehydration, especially in older people, and there is a strong link between high temperatures, dehydration and blood stream infections, also particularly in older people.<sup>56</sup>
**Who will experience the greatest impact?**
Certain housing conditions (older and small top floor, purpose built flats because of the low solar protection offered by the top floor of poorly insulated flats; and newly constructed houses not suitably designed for extreme heat events and the quality of the built environment could potentially contribute to the overheating of an environment. Certain groups such as children have less efficient body cooling mechanisms and are therefore at greater risk. Similarly, the body’s thermoregulatory mechanisms could be impaired in older people and those with chronic health conditions. Those considered vulnerable to overheating may not always perceive themselves to be at risk. Simple measures to reduce the negative impacts of overheating are not always implemented which could place these groups at even greater risk.
\<page_number>24\</page_number> The Lewisham Picture The map below shows temperature differences across the borough and also shows the effects of existing infrastructure and green space on overheating risk. Combined with data on vulnerable populations, this will provide a more precise picture of the biggest risk areas.
**Figure 6: Average temperatures in Lewisham**
<img>A map of Lewisham showing average temperatures (C) from 26th May - 19th July 2006. The map uses a gradient scale from light yellow to dark red, representing temperatures from 17.5°C to 18.7°C.</img>
Model simulations of London’s temperatures were provided by Dr. Sylvia I. Bohnenstengel (University of Reading) using the Met Office Unified Model and MORUSES (MetOffice Reading Urban Surface Exchange Scheme) (Bohnenstengel et al., 2010).
\<page_number>25\</page_number> **Figure 7 Temperature across the capital** London Average Screen Temperatures in degrees Celsius for the period 26 May-19 July 2006 Equal count mapping method: each interval; contains 7% of the total number of grid points
<img>A map of London showing temperature distribution across the city. The map uses a gradient scale ranging from 145°C to 188°C, with intermediate values such as 172°C, 173°C, 174°C, etc., represented by different shades of yellow, orange, red, and blue. The map highlights areas with higher temperatures in the center and lower temperatures towards the edges.</img>
**Potential actions:** The NHS Heatwave Plan for England 2013 suggests actions to mitigate and/or ameliorate some of the effects of future heatwaves and hot weather. Short term actions include:
- Modifying surface properties and integrating green infrastructure, for example, ‘cool roofs’, ‘green roofs’ and ‘cool pavements’ (paving materials that tend to reflect, provide cooler surfaces and increase water evaporation ratio).
- Planting trees and vegetation and creating green spaces to enhance evaporation and shading, (temperatures in and around green spaces can be several degrees lower than their surroundings). The development of ‘green spaces’ can not only help to alleviate the impact of the UIH effect but has been shown to have other positive health benefits such as improving mental health and well-being. Increasing green infrastructure also improves air quality.
- Insulating homes. This protects against hot weather as well as reducing heating needs in the winter.
- Introducing an active transport plan or car-sharing schemes. These will reduce numbers of vehicles used leading to improvements in air quality, whilst promoting healthy living.
- Using reflective paint on south-facing walls and roofs.
- Taking fuel poverty into account when implementing any energy efficiency works.
\<page_number>26\</page_number> Considering using the planning process to influence planning decisions on housing and commercial properties’ heat thresholds. Retrofitting public buildings with energy-saving technology – including low-energy lighting and high-efficiency boilers. This presents one of a number of opportunities to improve on infrastructure, growth and support local job creation.
The Plan makes the case for a medium term (10–30 years) and long term approach (30+ years). See also section on fuel poverty and air quality.
**Case Study: London Borough of Islington and the CRISP Project**
CRISP is a joint project between Islington Council and North London Cares that took place in the beginning of 2013. Research among residents aged 65+ concluded that the majority of elderly people did not take hot weather issues as seriously as cold weather issues. Although levels of information were generally found to be good, there were some everyday actions being taken that might exacerbate the risk of overheating. The project identified the need for a widespread information campaign on proper use of windows, curtains and fans. The research identified challenges of communicating information about overheating. The findings and recommendations will inform Islington’s Council Seasonal Resilience Plan and the work of the Seasonal Health Interventions Network (SHINE).
Contact: John Kolm-Murray, Islington Council john.kolm-murray@islington.gov.uk
<table>
<thead>
<tr>
<th>Links to Public Health Outcomes Framework</th>
<th>Suggested further reading</th>
</tr>
</thead>
<tbody>
<tr>
<td>Primary:</td>
<td>NHS Heatwave Plan for England</td>
</tr>
<tr>
<td>3.7 Comprehensive, agreed inter-agency plans for responding to public health incidents and emergencies</td>
<td>RE:FIT is the Mayor of London’s innovative scheme to reduce carbon emissions in Greater London, www.refit.org.uk</td>
</tr>
<tr>
<td>Additional (for example)</td>
<td>GLA (2011) London Climate Change Adaptation Strategy</td>
</tr>
<tr>
<td>3.6 Public sector organisations with a board-approved sustainable development management plan</td>
<td>London Climate Change Partnership (2012) Heat Thresholds Project: Final Report</td>
</tr>
<tr>
<td></td>
<td>Built Infrastructure for Older People in Conditions of Climate Change (BIOPICCC)</td>
</tr>
<tr>
<td></td>
<td>Design and Delivery of Robust Hospital Environments in a Changing Climate (De2RHECC)</td>
</tr>
</tbody>
</table>
\<page_number>27\</page_number>
# REFERENCES
<sup>1</sup> Centre for Disease Control and Prevention (CDC). 2013,from CDC (USA); www.cdc.gov/about/history/tengpha.htm
Evidence demonstrating links between access to green spaces and health: Coombes, E., Jones, A.P. & Hillson, M. (2010). The relationship of physical activity and overweight to objective measures of air pollution exposure, accessibility and use. Social science & medicine, 70(6), 816-822.
Maas, J., Verheij, R. A.et al (2006). Green space, urbanity, and health: how strong is the relation? Journal of epidemiology and community health, 60(7), 597-592;
Nielsen, T. S. & Hansen, K. B. (2007). Do green areas affect health? Results from a Danish survey on the use of green areas and health indicators. Health & place, 13(4), 839-850;
Schipperijn, J., van Poppel, P et al (2013). Association between physical activity and characteristics of urban green space. Urban Forestry & Urban Greening, 2(1), 109-116.
Mitchell, R., & Popham, F. (2008). Effect of exposure to natural environment on health inequalities: an observational population study. The Lancet, 372(9650), 1655-1660.
MENE Survey evidencing frequency, mode and motivation in access to Green Space, (2012-2013), from Natural England; http://www.naturalengland.org.uk/research/health-and-wellbeing/green-space
*Local access to public open spaces*, taken from Access to Public Open Space, (2012), London Data Store http://data.london.gov.uk/datastore/package/access-public-open-space-and-nature-ward/
\*Survey showing number of people participating in sport in local communities, taken from Active People Survey (2013), Sport England www.sportengland.org/researchactive_people_survey.aspx
*Use of small public urban green spaces and health benefits*, Pechardt, K. C., Schippers, J., & Stigsdotter, U. (C). (2012) Use of small public urban green spaces (SPUGS). Urban Forestry & Urban Greening, 11 (3), 235-244.
*Physical Activity and the Environment*, taken from "Marmot Review (2010) Fair Society, Healthy Lives"; NICE (2008). Physical activity and the environment.. PH Guidance 8
\*Toolkit showing levels of adult obesity, taken from Adult Obesity (2005) National Obesity Observatory , NHS UK, Public Health England; http://www.nhs.uk/AboutNHS/Adults/obesity.htm
*Access to Public Open Space*, (2012), taken from London Data Store; http://data.london.gov.uk/datastore/package/access-public-open-space-and-nature-ward/
\*Toolkit showing levels of adult obesity, taken from Adult Obesity (2011-2012) National Obesity Observatory , NHS UK, Public Health England; http://www.nhs.uk/AboutNHS/Adults/obesity.htm
\*Toolkit showing levels of adult obesity, taken from Health Need Assessment Toolkit; Data Period, 2006-2008)
\*GLA All London Green Grid Supplementary Planning Guidance (.pdf) taken from www.london.gov.uk/priorities/planning/publications/all-london-green-grid-spg/Datasets to support this guidance; taken fromwww.gig.org.uk/ourDatasets/Openspaces/tabid/117/Default.aspx;
*Green flag award system for green spaces*, taken from Keep Britain Tidy. http://greenflag.keepbritaintidy.org/
*Southwark Council outdoor gyms*, taken from www.southwark.gov.uk/southwark435/free_outdoor_activities/2611/outdoor_gyms/1
\*Burgess Park regeneration project July 2012, taken from www.southwark.gov.uk/news/article/792/burgess_park_to_reopen_after_8_million_transformation)
\*London Travel Demand Survey (LTDs),2011,taken from Transport for London. Travel in London. Supplementary Report.. www.tfl.gov.uk
*Evidence demonstrating link between transport and health*. March 2013. Keeping well in hard times: Protecting and improving health & well-being in an income shortfall; taken from London Health Inequalities Network.
*Link between heavily trafficked streets and health impacts*, 2005, taken from Health Development Agency Making the case: Improving health through transport.
\*Data showing physical activity rates in London, 2010, taken from Public Health England: Physical Activity in London; www.phl.org.uk/LHO/Topics/Health_Topics/lifestyle_and_Behaviour/PhysicalActivity.aspx
*Link between active travel and health*, 2012, taken from British Medical Association. Healthy Transport=Healthy Lives; BMA,www.bma.org.uk
\<page_number>28\</page_number> 21 Analysis of cycling potential, 2010, taken from Transport for London, December Analysis of Cycling Potential. Travel in London. www.tfl.org.uk. 22 Report showing negative impacts of transport in London, 2011, taken from Mackett, R.L. & Brown, R. ; Transport for London. 2011. Present knowledge and the way around. Centre for Transport Studies, University College London. www.cege.ucl.ac.uk 23 Number of travel trip by each modal share, 2011, taken from London Travel Demand Survey. Transport for London. www.tfl.org.uk 24 Reported road casualties in Great Britain, annual report 2011, taken from www.gov.uk Most heavily vehicular used roads, 2000-2012, taken from Traffic Statistics, Department of Transport The Ministry of Transport. www.transport.gov.uk Hackney's case study showing cycling promoting measures, 2013, taken from London Borough of Hackney Sample of Schemes for cycling & public realm: www.hackney.gov.uk ( 25 Surface Water Management Plan (SWMP), 2010, taken from Technical Guidance. DEFRRA www.defra.gov.uk London Regional Flood Risk Appraisal. October 2009, taken from GLA ; , www.london.gov.uk Overall strategic plan for London, the London Plan, 2011, taken from GLA, www.london.gov.uk Secondary impact of floods on health, 2013. World Health Organisation : Floods in the WHO European Union. Health effects and their prevention. Edited by Bettina Menne and Virginia Murray, taken from Public Health England's website. www.gov.uk/government/organisations/public-health-england Effects of floods on mental health, 2011, taken from Murray, V., Calthorpe et al (2011). The Effects of Floods on Mental Health. Health Protection Agency. www.hpa.org.uk www.phoocities.info https://www.gov.uk/green-deal-green-energy-saving-measures/how-the-green-deal-works Access to healthy food. taken from White (2007). Food Access and Obesity. Obesity reviews. 8 (s1), 99-107 . Chartered Institute for Environment and Health, 2013, taken from Chartered Institute for Environment and Health Health Policy Toolkit. hse.org. Takeaways Toolkit 2012. taken from London Food Board and Chartered Institute of Environmental Health http://www.london.gov.uk/priorities/environment/promoting-healthy-sustainable-food/london boroughs/1akeaways-toolkit; Effect of fast food restaurants on obesity and weight gain, taken from Currie, J., Vigna, SD et al (2010). The effect of fast food restaurants on obesity and weight gain. American Economic Journal: Economic Policy. 3: 63-87. Health Needs Assessment Toolkit, (2006-2008). NHS UK, Public Health England, http://nhs.londonhsc.nhs.uk/JSA.aspx Health Needs Assessment Toolkit, (2011-2012). NHS UK, Public Health England http://nhs.londonhsc.nhs.uk/JSA.aspx Health Needs Assessment Toolkit, (2006-2008). NHS UK, Public Health England http://nhs.londonhsc.nhs.uk/JSA.aspx Adult Obesity Observatory (2011-2012) National Obesity Observatory - NHS UK, Public Health England http://www.sopln.nhs.uk/NDO/e- Atlas/adult/atlats.htm 4 New Fuel Poverty Definition 2013, taken from Department of Energy and Climate Change (DECC), taken from Fuel Poverty. A Framework for future action. www.decc.gov.uk Tackling fuel poverty in London 2012, taken from GLA - London Assembly In from the cold? www.london.gov.uk Fuel poverty impact on wellbeing, 2011, taken from Marmot Review Team. The Health Impacts of Cars and Homes Fuel Poverty. www.gov.uk/government/organisations/public-health-england Cost of fuel poverty up to NHSs, 2012, taken from AgeUK. The Cost of Cold www.ageuk.org.uk/latest-news/archive/cold-homes-costs-nhs-1-point-36-billion. Monetising health impacts of fuel poverty, 2013, taken from Department of Energy and Climate Change. Fuel Poverty. A Framework for Future Action- Analytical Annex https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/21137/fuel_poverty_strategic_framework.pdf Custom Age Range Creator Tool for GLA Population Projections 2013, taken from CLA London Datastore www.data.london.gov.uk/datastore/applications/custom-age-range-creator-tool-gla-population-projections-borough Fuel Poverty Risk Indicators Toolkit, 2013, taken from GLA London Datastore www.data.london.gov.uk/datastore/package/london-fuel-poverty-risk-indicators-toolkit/ Green Deal and Energy Company Obligation information, 2012, taken from Department of Energy and Climate Change. www.decc.gov.uk The Mayor's RE:NEW Programme, 2013, taken from GLA. www.london.gov. UK Energy Act 2011, taken from Department of Energy and Climate Change www.legendation.gov.uk/ukgpa/2011/6contentsenacted
\<page_number>29\</page_number> <sup>52</sup> Heatwave Plan 2013, taken from Public Health England, Making the case: the impact of heat on health – now and in the future www.gov.uk/government/organisations/public-health-england
<sup>53</sup> Potential costs of overheating including data, 2013, taken from Department for Environment, Food and Rural Affairs, The Economics of Climate Resilience: Health and Well-being Theme CA0401 www.defra.gov.uk
<sup>54</sup> Overheating and health, 2011, taken from Health Protection Agency, Overheating and health: a review into the physiological response to heat and identification of indoor heat thresholds www.hpa.org.uk/webc/HPAwebFile/HPAweb_C/1317133912939
<sup>55</sup> Association of mortality with high temperatures in a temperate climate: England and Wales, Armstrong et al. (2010) Association of mortality with high temperatures in a temperate climate: England and Wales, Journal of Epidemiology and Health, vol.65.4, 340-345
<sup>56</sup> Heatwave Plan 2013, taken from Public Health England, Making the case: the impact of heat on health – now and in the future www.gov.uk/government/organisations/public-health-england
<sup>57</sup> Heatwave Plan 2013, taken from Public Health England, Making the case: the impact of heat on health – now and in the future www.gov.uk/government/organisations/public-health-england
\<page_number>30\</page_number>
# FURTHER READING
- Local Authorities’ strategies (e.g. Planning, Transport) are monitored on an annual basis and PHOF indicators may be relevant additions to these strategies and a way of spreading a public health approach across the Council. www.phoutcomes.info provides useful borough summaries for this approach.
- The Index of Multiple Deprivation (IMD) highlights the impact of wider environmental determinants most adversely on those in more deprived areas: www.gov.uk/government/organisations/departments-for-communities-and-local-government/series/english-indices-of-deprivation
- Public Health has an important role in reminding other departments about health inequalities and intra borough inequalities. Basic summaries can be found at: www.apho.org.uk/?QN=P_HEALTH_PROFILES
- The local authority planning process offers the opportunity to mainstream some of these issues through planning guidance. The Town & Country Planning Association offers a useful guide: www.tcpa.org.uk/data/files/TCPA_FINAL_Reuniting-health-planning.pdf
- The NHS London Healthy Urban Development Unit www.healthyurbandevelopment.nhs.uk and their Watch Out for Health Checklist and the Health Impact Assessment Gateway http://www.apho.org.uk/default.aspx?QN=P_HIA offers useful insight across many fields including regeneration, social infrastructure planning, housing, policy development, planning advocacy and negotiations, planning obligations, development management, master planning, environmental and health impact assessment.
- Some themes in this Guide, for example, (food, fuel poverty, active travel) are addressed in Keeping Well in Hard Times www.lho.org.uk/Download/Public/17975/1/Keeping_per_cent20well_per_cent20hard_per_cent20times.pdf
- There is a useful guide for developers on maximising environmental benefits at: www.environment-agency.gov.uk/research/planning/147852.aspx
- Effect of exposure to natural environment on health inequalities: an observational population study http://reprints.gla.ac.uk/47667/1/4767.pdf
- Great Outdoors: How Our Natural Health Service Uses Green Space To Improve Wellbeing www.fph.org.uk/uploads/bs_great_outdoors.pdf
\<page_number>31\</page_number> PUBLIC HEALTH OUTCOMES FRAMEWORK
Mapping environmental determinants to the 2013-2016 Public Health Outcomes Framework
| Primary | Improvements or worsening will have a direct impact on the indicator | |---|---| | Secondary | Improvements or worsening may have an impact on this indicator |
<table>
<thead>
<tr>
<th>AQ - Air Quality</th>
<th>AT - Active Travel and Transport</th>
<th>GS - Access to Green Space</th>
</tr>
</thead>
<tbody>
<tr>
<td>FR - Surface Flooding</td>
<td>OH - Overheating</td>
<td>FP - Fuel Poverty</td>
</tr>
<tr>
<td>HF - Healthy Food</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<th>Domain 1</th>
<th>AQ</th>
<th>AT</th>
<th>GS</th>
<th>FR</th>
<th>OH</th>
<th>HF</th>
<th>FP</th>
</tr>
</thead>
<tbody>
<tr>
<td>Improving the wider determinants of health</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.1 Children in poverty</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.2 School readiness</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.3 Pupil absence</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.4 First time entrants to the youth justice system</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>1.5 16-18 year olds not in education, employment or training</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr><tr><td colspan="8"></td></tr><tr><td>1.6 Adults with a learning disability/in contact with secondary mental health services who live in stable and appropriate accommodation</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>1.7 People in prison who have a mental illness or a significant mental illness</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>1.8 Employment for those with long-term health conditions including adults with a learning disability or who are in contact with secondary mental health services</td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td/></tr><tr><th colspan="8">1.9 Sickness absence rate</th></tr><tr><th colspan="8">1.10 Killed and seriously injured casualties on England’s roads</th></tr><tr><th colspan="8">1.11 Domestic abuse</th></tr><tr><th colspan="8">1.12 Violent crime (including sexual violence)</th></tr><tr><th colspan="8">1.13 Re-offending levels</th></tr><tr><th colspan="8">1.14 The percentage of the population affected by noise</th></tr><tr><th colspan="8">1.15 Statutory homelessness</th></tr><tr><th colspan="8">1.16 Utilisation of outdoor space for exercise/health reasons</th></tr><tr><th colspan="8">1.17 Fuel poverty</th></tr><tr><th colspan="8">1.18 Social isolation</th></tr><tr><th colspan="8">1.19 Older people’s perception of community safety</th></tr><tr style="background-color: #cccccc;">
<th colspan="8" style="text-align: center;">32</th>
</tr>
</tbody>
</table>
<table>
<tr>
<td>Primary</td>
<td>Improvements or worsening will have a direct impact on the indicator</td>
<td></td>
</tr>
<tr>
<td>Secondary</td>
<td>Improvements or worsening may have an impact on this indicator</td>
<td></td>
</tr>
</table>
<table>
<tr>
<td>AQ - Air Quality</td>
<td>AT - Active Travel and Transport</td>
<td>GS - Access to Green Space</td>
</tr>
<tr>
<td>FR - Surface Flooding</td>
<td>OH - Overheating</td>
<td>FP - Fuel Poverty</td>
</tr>
<tr>
<td>HF - Healthy Food</td>
<td></td>
<td></td>
</tr>
</table>
<table>
<thead>
<tr>
<th rowspan="2">Domain 2<br>Health Improvement</th>
<th>AQ</th>
<th>AT</th>
<th>GS</th>
<th>FR</th>
<th>OH</th>
<th>HF</th>
<th>FP</th>
</tr>
</thead>
<tbody>
<tr><td colspan="8"></td></tr>
<tr><td>2.1 Low birth weight of term babies</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.2 Breastfeeding</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.3 Smoking status at time of delivery</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.4 Under 18 conceptions</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.5 Child development at 2-21/2 years</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr>
<tr><td>2.6 Excess weight in 4-5 and 10-11 year olds</td><td></td><td></td><td></td><td></ td<td></ td<td></ td<td></ td></tr>
<tr><th colspan="8">2.7 Hospital admissions caused by unintentional and deliberate injuries in under 18s</th></tr>
<tr><th colspan="8">2.8 Emotional well-being of looked after children</th></tr>
<tr><th colspan="8">2.9 Smoking prevalence – 15 year olds</th></tr>
<tr><th colspan="8">2.10 Self-harm</th></tr>
<tr><th colspan="8">2.11 Diet</th></tr>
<tr><th colspan="8">2.12 Excess weight in adults</th></tr>
<tr><th colspan="8">2.13 Proportion of physically active and inactive adults</th></tr>
<tr><th colspan="8">2.14 Smoking prevalence – adults (over 18s)</th></tr>
<tr><th colspan="8">2.15 Successful completion of drug treatment</th></tr>
<tr><th colspan="8">2.16 People entering prison with substance dependence issues who are previously not known to community treatment</th></tr>
<tr><th colspan="8">2.17 Recorded diabetes</th></tr>
<tr><th colspan="8">2.18 Alcohol-related admissions to hospital</th></tr>
<tr><th colspan="8">2.19 Cancer diagnosed at stage 1 and 2</th></tr>
<tr><th colspan="8">2.20 Cancer screening coverage</th></tr>
<tr><th colspan="8">2.21 Access to non-cancer screening programmes</th></tr>
<tr><th colspan="8">2.22 Take up of the NHS Health Check programme – by those eligible</th></tr>
<tr><th colspan="8">2.23 Self-reported well-being</th></tr>
<tr><th colspan="8">2.24 Injuries due to falls in people aged 65 and over</th></tr>
</tbody>
</table>
\<page_number>33\</page_number>
<table>
<thead>
<tr>
<td>Primary</td>
<td>Improvements or worsening will have a direct impact on the indicator</td>
<td></td>
</tr>
<tr>
<td>Secondary</td>
<td>Improvements or worsening may have an impact on this indicator</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>AQ – Air Quality</td>
<td>AT – Active Travel and Transport</td>
<td>GS – Access to Green Space</td>
</tr>
<tr>
<td>FR – Surface Flooding</td>
<td>OH - Overheating</td>
<td>FP – Fuel Poverty</td>
</tr>
<tr>
<td>HF - Healthy Food</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td>Domain 3<br><strong>Health Protection</strong></td>
<td>AQ AT GS FR OH HF FP</td>
</tr>
</thead>
<tbody>
<tr>
<td>3.1 Fraction of mortality attributable to particulate air pollution</td>
<td></td>
</tr>
<tr>
<td>3.2 Chlamydia diagnoses (15-24 year olds)</td>
<td></td>
</tr>
<tr>
<td>3.3 Population vaccination coverage</td>
<td></td>
</tr>
<tr>
<td>3.4 People presenting with HIV at a late stage of infection</td>
<td></td>
</tr>
<tr>
<td>3.5 Treatment completion for Tuberculosis (TB)</td>
<td></td>
</tr>
<tr>
<td>3.6 Public sector organisations with a board approved sustainable development management plan</td>
<td></td>
</tr>
<tr>
<td>3.7 Comprehensive, agreed inter-agency plans for responding to public health incidents and emergencies</td>
<td></td>
</tr>
<table>
<thead>
<tr>
<td>Domain 4<br><strong>Healthcare public health and preventing premature mortality</strong></td>
<td>AQ Tr GS FR OH HF FP</td>
</tr>
</thead>
<tbody>
<tr>
<td>4.1 Infant mortality</td>
<td></td>
</tr>
<tr>
<td>4.2 Tooth decay in children aged 5</td>
<td></td>
</tr>
<tr>
<td>4.3 Mortality rate from causes considered preventable</td>
<td></td>
</tr>
<tr>
<td>4.4 Under 75 mortality rate from all cardiovascular diseases (including heart disease and stroke)</td>
<td></td>
</tr>
<tr>
<td>4.5 Under 75 mortality rate from cancer</td>
<td></td>
</tr>
<tr>
<td>4.6 Under 75 mortality rate from liver disease</td>
<td></td>
</tr>
<tr>
<td>4.7 Under 75 mortality rate from respiratory diseases</td>
<td></td>
</tr>
<tr>
<td>4.8 Mortality rate from infectious and parasitic diseases</td>
<td></td>
</tr>
<tr>
<td>4.9 Excess under 75 mortality rate in adults with serious mental illness</td>
<td></td>
</tr>
<tr>
<td>4.10 Suicide rate</td>
<td></td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="2">4.11 Emergency readmissions within 30 days of discharge from hospital<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><hr/></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr></hr>
<table style="width:100%; border-collapse: collapse;">
<tbody style="text-align:center;">
<tr style="background-color:#f0f0f0;">
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BETTER ENVIRONMENT, BETTER HEALTH
# DATA APPENDIX
## Table 1 – Green Space Data
<table>
<thead>
<tr>
<th></th>
<th>Adult Obesity</th>
<th colspan="3">Green Space Access Deficiency (% value per Ward)</th>
<th colspan="3">Participation in Physical Activity % per week - Adult Obesity</th>
<th colspan="3">Obesity Prevalence</th>
</tr>
<tr>
<th>Borough Green Space Surface</th>
<th>Total Ward N.</th>
<th>Ward with Access Deficiency</th>
<th>% Households</th>
<th>1 time a week</th>
<th>5 times per week</th>
<th>LA</th>
<th>London</th>
<th>England</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>33.6</td>
<td>17.0</td>
<td>4.0</td>
<td>over 50%</td>
<td>45.1</td>
<td>15.4</td>
<td>28.7</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Barnet</td>
<td>41.3</td>
<td>21.0</td>
<td>4.0</td>
<td>over 40%</td>
<td>54.9</td>
<td>17.6</td>
<td>17.9</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bexley</td>
<td>31.7</td>
<td>21.0</td>
<td>4.0</td>
<td>over 40%</td>
<td>60.8</td>
<td>20.0</td>
<td>26.4</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Brent</td>
<td>21.9</td>
<td>21.0</td>
<td>4.0</td>
<td>over 40%</td>
<td>49.4</td>
<td>16.3</td>
<td>21.2</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Bromley</td>
<td>57.8</td>
<td>22.0</td>
<td>2.0</td>
<td>over 50%</td>
<td>62.4</td>
<td>21.1</td><td>21.8</td><td></td><td></td>
</tr>
<tr>
<td>Camden</td><td style="text-align: right;">24.8<br style="border-top: 1px solid black;">City of London<br style="border-top: 1px solid black;">City of Westminster<br style="border-top: 1px solid black;">Croydon<br style="border-top: 1px solid black;">Ealing<br style="border-top: 1px solid black;">Enfield<br style="border-top: 1px solid black;">Greenwich<br style="border-top: 1px solid black;">Hackney<br style="border-top: 1px solid black;">Hammersmith & Fulham<br style="border-top: 1px solid black;">Harborney<br style="border-top: 1px solid black;">Harrow<br style="border-top: 1px solid black;">Havering<br style="border-top: 1px solid black;">Islington<br style="border-top: 1px solid black;">Kensington & Chelsea<br style="border-top: 1px solid black;">Leicestershire<br style="border-top: 1px solid black;">Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top: 1px solid black;">London Borough of Lewisham<br style="border-top:
<table>
<thead>
<tr>
<th>Adult Obesity</th>
<th colspan="3">Green Space Access Deficiency (% value per Ward)</th>
<th colspan="3">Participation in Physical Activity % per week - Adult Obesity -</th>
<th colspan="2">Obesity Prevalence</th>
</tr>
<tr>
<th>Borough Green Space Surface</th>
<th>Total Ward N.</th>
<th>Ward with Access Deficiency</th>
<th>% Households</th>
<th>1 time a week</th>
<th>5 times per week</th>
<th>LA London</th>
<th>England</th>
</tr>
</thead>
<tbody>
<tr>
<td>Hillingdon</td>
<td>49.2</td>
<td>22.0</td>
<td>2.0</td>
<td>over 50%</td>
<td>48.9</td>
<td>14.1</td>
<td>23.2</td>
<td rowspan="6"></td>
</tr>
<tr>
<td>Hounslow</td>
<td>39.6</td>
<td>20.0</td>
<td>5.0</td>
<td>over 40%</td>
<td>52.4</td>
<td>17.8</td>
<td>20.5</td>
</tr>
<tr>
<td>Islington</td>
<td>12.4</td>
<td>16.0</td>
<td>4.0</td>
<td>over 50%</td>
<td>61.3</td>
<td>22.4</td>
<td>18.0</td>
</tr>
<tr>
<td>Kensington & Chelsea</td>
<td>15.1</td>
<td>18.0</td>
<td>1.0</td>
<td>over 50%</td>
<td>63.5</td>
<td>21.5</td>
<td>13.9</td>
</tr>
<tr>
<td>Kingston upon Thames</td>
<td>36.4</td>
<td>16.0</td>
<td>5.0</td>
<td>over 50%</td>
<td>61.2</td>
<td>23.1</td>
<td>16.7</td>
</tr>
<tr>
<td>Lambeth</td>
<td>17.3</td>
<td>21.0</td>
<td>7.0</td>
<td>over 50%</td>
<td>62.0</td>
<td>30.2</td>
<td>20.7</td><td rowspan="6">24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>24.2<br/>...</td></tr>
<tr>
<td>Lewisham</td>
<td>22.5</td>
<td>18.0</td>
<td>3.0</td>
<td>over 40%</td>
<td>56.4</td><td>...</td><td></td></tr>
<tr><td>Merton</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Newham</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Redbridge</td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td></tr><tr><th colspan="9">Richmond upon Thames 50.8 18.0 1 0 over 50% 69 3 19 7 19 5 19 7 19 7 19 7 19 7 19 7 19 7 19 7 19 7 19 7 ... </th></tr><tr><th colspan="9">Southwark Sutton & Merton 30 3 3 3 3 3 3 3 3 3 3 3 3 ... </th></tr><tr><th colspan="9">Tower Hamlets Waltham Forest Wandsworth NOO (2005) Greenspace Information for Greater National Obesity Health Needs Assessment London CIF (GiGL) Observatory (2010-2011) Toolkit </th></tr></tbody></table>
\<page_number>36\</page_number> BETTER ENVIRONMENT, BETTER HEALTH
**Table 2** Active Travel and Transport Data
<table>
<thead>
<tr>
<th></th>
<th>Number of Travels per day' (000's)</th>
<th>Annual Casualties on the Road, 2005-2009 average</th>
<th>% Change 2005-2009 to 2011</th>
<th>Average Fatalities 2005-2009</th>
<th>Number of Vehicles</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>280</td>
<td>604</td>
<td>7</td>
<td>5</td>
<td>115,178</td>
</tr>
<tr>
<td>Barnet</td>
<td>769</td>
<td>1,344</td>
<td>3</td>
<td>13</td>
<td>97,861</td>
</tr>
<tr>
<td>Bexley</td>
<td>357</td>
<td>644</td>
<td>-12</td>
<td>4</td>
<td>107,803</td>
</tr>
<tr>
<td>Brent</td>
<td>592</td>
<td>918</td>
<td>-2</td>
<td>8</td>
<td>122,900</td>
</tr>
<tr>
<td>Bromley</td>
<td>691</td>
<td>929</td>
<td>-6</td>
<td>10</td>
<td>45,486</td>
</tr>
<tr>
<td>Camden</td>
<td>744</td>
<td>902</td>
<td>3</td>
<td>5</td>
<td>93,779</td>
</tr>
<tr>
<td>City of London</td>
<td>262</td>
<td>369</td>
<td>11</td>
<td>2</td>
<td>73,434</td>
</tr>
<tr>
<td>Croydon</td>
<td>720</td>
<td>1,208</td>
<td>2</td>
<td>6</td>
<td>42,861</td>
</tr>
<tr>
<td>Ealing</td>
<td>633</td>
<td>1,155</td>
<td>-15</td>
<td>10</td>
<td>136,071</td>
</tr>
<tr>
<td>Enfield</td>
<td>594</td>
<td>1,033</td>
<td>7</td>
<td>12</td>
<td>98,621</td>
</tr>
<tr>
<td>Greenwich</td>
<td>428</td>
<td>919</td>
<td>7</td>
<td>9</td>
<td>95,934</td>
</tr>
<tr>
<td>Hackney</td>
<td>404</td>
<td>948</td>
<td>-8</ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></table>
<table border="1">
<!-- Table data -->
<!-- Barking & Dagenham -->
<!-- Barnet -->
<!-- Bexley -->
<!-- Brent -->
<!-- Bromley -->
<!-- Camden -->
<!-- City of London -->
<!-- Croydon -->
<!-- Ealing -->
<!-- Enfield -->
<!-- Greenwich -->
<!-- Hackney -->
<!-- Hammersmith & Fulham -->
<!-- Haringey -->
<!-- Harrow -->
<!-- Havering -->
<!-- Hillingdon -->
<!-- Hounslow -->
<!-- Islington -->
<!-- Kensington & Chelsea -->
<!-- Kingston upon Thames -->
<!-- Lambeth -->
<!-- Lewisham -->
<!-- Merton -->
<!-- Newham -->
<!-- Redbridge -->
<!-- Richmond upon Thames -->
<!-- Southwark -->
<!-- Sutton -->
<!-- Tower Hamlets -->
<!-- Waltham Forest -->
<!-- Wandsworth -->
<!-- Westminster -->
<table border="1">
<!-- Table data -->
<!-- Source: London Travel Demand Survey -->
<!-- Reported Road Casualties, Great Britain, gov.uk -->
<table border="1">
<!-- Table data -->
<!-- Average: Number of Travels per day' (000's) = Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (2005-2009) / Average Fatalities (2011) * Average Fatalities (2005-2009) + Average Fatalities (2011) * Average Fatalities (20
<img>A table showing active travel and transport data for various London boroughs.</img>
| Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, 2 | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | Annual Casualties on the Road, | Borough | Number of Travels per day' (thousands) | BETTER ENVIRONMENT, BETTER HEALTH
**Table 3 Air Quality Data**
| | Fraction (%) of mortality attributable to long term exposure to PM2.5 | Rank | % different from UK average | Number of Air Quality Focus Areas | |---|---|---|---|---| | Barking & Dagenham | 7.1 | 14 | 27% | 3 | | Barnet | 6.8 | 10 | 21% | 15 | | Bexley | 6.6 | 7 | 18% | 1 | | Brent | 7.2 | 17 | 29% | 6 | | Bromley | 6.3 | 1 | 13% | 1 | | Camden | 7.7 | 24 | 38% | 5 | | City of London | 9 | 33 | 61% | 2 | | Croydon | 6.5 | 5 | 16% | 5 | | Ealing | 7.2 | 17 | 29% | 5 | | Enfield | 6.6 | 7 | 18% | 10 | | Greenwich | 7.2 | 17 | 29% | 7 | | Hackney | 7.8 | 26 | 39% | 8 | | Hammersmith and Fulham | 7.9 | 27 | 41% | 5 | | Haringey | 7.1 | 14 | 27% | 9 | | Harrow | 6.4 | 3 | 14% | 5 | | Havering | 6.3 | 1 | 13% | 3 | | Hillingdon | 6.5 | 5 | 16% | 8 | | Hounslow | 7.1 | 14 | 27% | 10 | | Islington | 7.9 | 27 | 41% | 3 | | Kensington and Chelsea | 8.3 | 31 | 48% | 3 | | Kingston upon Thames | 6.7 | 9 | 20% | 2 | | Lambeth | 7.7 | 24 | 38% | 9 | | Lewisham | 7.2 | 17 | 29% | 9 | | Merton | 6.9 | 12 | 23% | 4 | | Newham | 7.6 | 23 | 36% | 6 | | Redbridge | 7.13 &nb... BETTER ENVIRONMENT, BETTER HEALTH
**Table 4** Healthy Food Data
<table>
<thead>
<tr>
<th></th>
<th>Adult Obesity Prevalence</th>
<th colspan="3">Participation in Physical Activity % per week</th>
<th colspan="2">Childhood Obesity Prevalence (6yrs old)</th>
<th colspan="3">% Consumption of 5 portions of fruits and vegetables a day</th>
</tr>
<tr>
<th></th>
<th></th>
<th>Once a week</th>
<th>5 times per week</th>
<th>LA</th>
<th>Total MSOA N.</th>
<th>Areas (MSOA) with highest % of consumption</th>
<th>% Intervals</th>
</tr>
</thead>
<tbody>
<tr>
<td>Barking & Dagenham</td>
<td>28.7</td>
<td>45.1</td>
<td>15.4</td>
<td></td>
<td>22</td>
<td></td>
<td>8 (25.40 - 31.20)</td>
</tr>
<tr>
<td>Barnet</td>
<td>17.9</td>
<td>54.9</td>
<td>17.6</td>
<td></td>
<td>41</td>
<td></td>
<td>16 (43.90 - 56.10)</td>
</tr>
<tr>
<td>Bexley</td>
<td>26.4</td>
<td>60.8</td>
<td>20</td>
<td></td>
<td>28</td>
<td></td>
<td>10 (31.20 - 37.20)</td>
</tr>
<tr>
<td>Brent</td>
<td>21.2</td>
<td>49.4</td>
<td>16.3</td>
<td></td>
<td>34</td>
<td></td>
<td>13 (38.20 - 45.30)</td>
</tr>
<tr>
<td>Bromley</td>
<td>21.8</td>
<td>62.4</td>
<td>21.1</td>
<td></td>
<td>39</td>
<td></td>
<td>15 (27.20 - 45.30)</td>
</tr>
<tr>
<td>Camden</td>
<td>15.5</td>
<td>65.1</td>
<td>26</td>
<td></td>
<td>28</td>
<td></td>
<td>10 (44.60 - 55.10)</td>
</tr>
<tr>
<td>City of London</td>
<td></td>
<td>52.8</td>
<td>28.7</td>
<td></td>
<td></td>
<td></td>
<td>48</td>
</tr>
<tr>
<td>City of Westminster</td>
<td>15</td>
<td>59.3</td>
<td>25.4</td>
<td></td>
<td>24</td>
<td></td>
<td>10 (48.60 - 52.10)</td>
</tr>
<tr>
<td>Croydon</td>
<td>24.3</td>
<td>58.9</td>
<td>19.8</td>
<td></td>
<td>44</td>
<td></td>
<td>17 (35.50 - 48.8)</td>
</tr>
<tr>
<td>Ealing</td>
<td>18.1</td>
<td>48.2</td>
<td>14.6</td>
<td></td>
<td>39</td>
<td></td>
<td>15 (41.10 - 55.40)</td>
</tr><tr><th rowspan="3">Greenwich Hackney Hammersmith & Fulham Haringey Harrow Havering Hillingdon Hounslow Islington London Waltham Forest Wandsworth Westminster Whitechapel Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlets Tower Hamlet
<table>
<thead>
<tr>
<td>Kensington & Chelsea</td>
<td>13.9</td>
<td>63.5</td>
<td>21.5</td>
<td>21</td>
<td>8</td>
<td>(50.70 - 54.30)</td>
</tr>
<tr>
<td>Kingston upon Thames</td>
<td>16.7</td>
<td>61.2</td>
<td>23.1</td>
<td>20</td>
<td>8</td>
<td>(41.90 - 49.40)</td>
</tr>
<tr>
<td>Lambeth</td>
<td>20.7</td>
<td>62</td>
<td>30.2</td>
<td>35</td>
<td>13</td>
<td>(36.00 - 42.90)</td>
</tr>
<tr>
<td>Lewisham</td>
<td>23.7</td>
<td>56.4</td>
<td>21.3</td>
<td>36</td>
<td>14</td>
<td>(36.00 - 42.90)</td>
</tr>
<tr>
<td>Merton</td>
<td>19.1</td>
<td>55</td>
<td>17.5</td>
<td>25</td>
<td>10</td>
<td>(41.40 - 55.40)</td>
</tr>
<tr>
<td>Newham</td>
<td>25.3</td>
<td>45.7</td>
<td>17.3</td>
<td>37</td>
<td>13</td>
<td>(32.60 - 36.60)</td>
</tr>
<tr>
<td>Redbridge</td>
<td>22.3</td>
<td>54.5</td>
<td>19.4</td>
<td>33</td>
<td>12</td>
<td>(35.50 - 43.30)</td>
</tr>
<tr>
<td>Richmond upon Thames</td>
<td>14.9</td>
<td>69.3</td>
<td>27.4</td>
<td>23</td>
<td>8</td>
<td>(44.70 - 48.30)</td>
</tr>
<tr>
<td>Southwark</td>
<td>22.5</td>
<td>59.5</td>
<td>19.5</td>
<td>33</td>
<td>11</td>
<td>(37.50% - 43.30)</td>
</tr>
<tr>
<td>Sutton</td>
<td>21.6</td>
<td>64.2</td>
<td>19.7</td>
<td>24</td>
<td>9</td>
<td>(35.20 - 44.30)</td>
</tr>
<tr>
<td>Tower Hamlets</td>
<td>19.4</td>
<td>55.9</td>
<td>19.7</td>
<td>31</td>
<td>12</td>
<td>(29.70 - 42.90)</td>
</tr>
<tr>
<td>Waltham Forest</td>
<td>23.4</td>
<td>56.2</td>
<td>20.3</td>
<td>28</td>
<td>10</td>
<td>(33.70 - 37.40)</td>
</tr><tr style="border-top: 1px solid black;">
<th>Average<br/>London<br/>England<br/>Source<br/></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><br/>
<th style="text-align: center;">Health Needs Assessment Toolkit<br/>National Obesity Observatory (2010-2011)<br/>Health Needs Assessment Toolkit<br/></th><br/>
<th style="text-align: right;">Average<br/>London<br/>England<br/>Source<br/></th><br/>
<th style="text-align: right;">Average<br/>London<br/>England<br/>Source<br/></strong></table>
\<page_number>40 BETTER ENVIRONMENT, BETTER HEALTH
**Table 5 Fuel Poverty Data**
<table>
<thead>
<tr>
<th></th>
<th>Excess winter deaths<br>2010/11</th>
<th colspan="3">Population Aged 65</th>
<th>Households in privately-rented 2011</th>
<th>Percentage in privately-rented<br>2011</th>
</tr>
<tr>
<td></td>
<td></td>
<td>2012</td>
<td>2025</td>
<td>2040</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>Barking and Dagenham</td>
<td>60</td>
<td>19,700</td>
<td>24,700</td>
<td>35,900</td>
<td>17,000</td>
<td>22.9</td>
</tr>
<tr>
<td>Barnet</td>
<td>90</td>
<td>49,400</td>
<td>65,600</td>
<td>88,100</td>
<td>28,000</td>
<td>20.5</td>
</tr>
<tr>
<td>Bexley</td>
<td>90</td>
<td>38,500</td>
<td>45,100</td>
<td>56,300</td>
<td>10,000</td>
<td>10.9</td>
</tr>
<tr>
<td>Brent</td>
<td>40</td>
<td>33,800</td>
<td>46,300</td>
<td>61,100</td>
<td>26,000</td>
<td>29.2</td>
</tr>
<tr>
<td>Bromley</td>
<td>190</td>
<td>54,200</td>
<td>64,200</td>
<td>79,500</td>
<td>17,000</td>
<td>12.6</td>
</tr>
<tr>
<td>Camden</td>
<td>70</td>
<td>24,800</td>
<td>30,200</td>
<td>39,300</td>
<td>29,000</td>
<td>26.8</td>
</tr>
<tr>
<td>City of London</td>
<td>10</td>
<td>1,100</td>
<td>1,700</td>
<td>2,800</td>
<td>1,000</td>
<td>8.6</td>
</tr>
<tr>
<td>Croydon</td>
<td>70</td>
<td>46,200</td>
<td>61,200</td>
<td>84,100</td>
<td>19,000</td>
<td>13.9</td>
</tr>
<tr>
<td>Ealing</td>
<td>90</td>
<td>37,500</td>
<td>49,900</td>
<td>65,300</td>
<td>29,000</td>
<td>24.3</td>
</tr>
<tr>
<td>Ealing (cont.)<br>Hounslow (cont.)<br>Hillingdon (cont.)<br>Hounslow (cont.)<br>Kensington and Chelsea (cont.)<br>Kingston upon Thames (cont.)<br>Lambeth (cont.)<br>Lewisham (cont.)<br>Merton (cont.)<br>Newham (cont.)<br>Tower Hamlets (cont.)<br>Vauxhall (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)<br>Ashford (cont.)
<table>
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<tr><th></th><th></th><th></th><th></th><th></oth,</h>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tns\n\t\t\tns\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n\ts\n
<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>\n<th>\tsource:</h>
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# ACKNOWLEDGEMENTS
**Project Team-Responsible for project management, project delivery and writing the guides:** Annette Figueiredo- Principal Policy & Programme Officer, Resilience and Quality of Life Team-GLA, Jason Streitzl, Public Health Specialist, GLA Alena Ivanova, Elena Guidorzi; Joe Parsons- MA/MSc postgraduate students-University of London, Kings College, GLA work placements Dr Angie Bone-Consultant in Public Health Medicine, Extreme Events and Health Protection, Public Health England
**The Project Team would like to thank everyone who has been involved in the project and contributed to the production of the guides. Particular thanks go to:**
**GLA Staff** Helen Walters, Head of Health Alex Nickson, Policy & Programmes Manager, Resilience and Quality of Life Team Peter Massini, Principal Policy & Programme Officer, Resilience and Quality of Life Team Lucy Saunders, Public Health Specialist, Health Team Jonathan Pauling, Principal Policy Officer, Food, Economic & Business Policy Team Mark Ainsbury, Senior Policy Officer, Food, Economic & Business Policy Team Eliot Treharne, Principal Policy & Programme Officer, Resilience and Quality of Life Team Liz Prosser, Senior Project Officer, Healthy Schools London, Health Team Kat McKinlay, Policy Officer, Transport Team Gareth Baker, GIS Officer, GIS and Infrastructure Team Michael Heyes, GIS Officer, GIS and Infrastructure Team Alison Murray, Programme Officer, Regeneration Team Emma Williamson, Principal Strategic Planner, Planning Team Susan Pape, Internal Communications Officer, HR & Organisational Development, Communications Team Una Buckley, Employee Engagement Manager, HR & Organisational Development Charlotte Hall, Health Inequalities Programme Leader, Health Team Larissa Bulla, Principal Policy & Programme Officer, Energy & Waste Team Kevin Reid, Principal Policy & Programme Officer, Resilience and Quality of Life Team Rebecca Roper, Childhood Obesity and Health Team Support Officer, Health Team GLA Design Team
**Other Colleagues** Alex Trotton, Policy and Information Officer, Lambeth and Southwark Public Health Department Jonathan Hiderband, Director of Public Health, London Borough of Kingston Caroline Hancock, Senior Public Health Analyst – Public Health England Thomas Abeling, PhD Researcher, UNITED NATIONS UNIVERSITY, Institute for Environment and Human Security (UNU,EHS) Paul James, Director of the United Nations Global Compact, Cities Programme John Kolin-Murray, Seasonal Health Officer, Islington Council Fiona Dale - Environmental Manager; Barst Health NHS Trust Gordon De Wever - Environmental Manager; Age UK London Dr Anna Mavrogianni; Lecturer in Environmental Design and Engineering; UCL Jonathon Taylor; Research Associate; UCL Professor Virginia Murray; Head of Extreme Events and Health Protection; PHE Professor Sue Grimmond – Department of Meteorology; University of Reading
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<img>Cyfoeth Naturiol Cymru Natural Resources Wales logo</img>
# WRX Guidance Note
## Water Resources
### Application Forms
Water Resources Act 1991 Environment Act 1995 The Water Resources (Abstraction and Impoundment) Regulations 2008 The Natural Resources Body for Wales (Functions) Order 2012
Click on the links below to navigate to the relevant section of this document.
- Form WRA – Application Details and Proposal Outline
- Form WRB – Hydropower Schemes
- Form WRC – Groundwater Investigation Consent
- Form WRD – Application for an abstraction licence
- Form WRE – Application for an impoundment licence
- Form WRF – Application for an administrative change
**Water Resources Licences – General Information**
Under the Water Resources Act 1991 (as amended), an abstraction licence from Natural Resources Wales is needed if you want to abstract more than 20 cubic metres (4,400 gallons) of water a day from surface water or groundwater in Wales.
An impoundment licence is needed if you want to impede or alter the flow of inland waters. This enables us to manage the country’s water resources to protect the environment and other water users. Certain activities are exempt from licensing. See our website for details of these exemptions.
On receipt of a full licence application, we decide if the proposal needs to be advertised, based on the location of your site and the potential risk to the environment or other water users. We arrange to publish the notice in a local paper and on our website, for which you will need to pay a £100 administration fee and half of the cost of the bilingual advert. We will pay for the other half of the advert.
We have a statutory duty to consult with other organisations when proposed abstractions or impoundments have the potential to impact on sites (or species) that have been designated as important in respect of conservation, landscape or heritage.
Applications for temporary abstraction licences will be determined within 28 days. All other licence applications will be determined within 3 months or 4 months if advertising is required, in line with our statutory responsibilities.
Since 2004, we are legally required to include a time limit on new or varied abstraction licences to enable us to reassess abstractions in line with the catchment’s resource availability. If you wish to continue to abstract following your licence expiry, you must apply to renew your licence at least 3 months in advance of the expiry date.
Following determination, we include conditions on new licences which specify the terms of the licence. If we issue an abstraction licence, there is no guarantee that the amount of water you are authorised to abstract will be available (this could be due to environmental conditions) or that the quality of water will be suitable for the licensed purpose.
You can appeal to The Planning Inspectorate if:
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 1 of 17\</page_number>
- you are not happy with the conditions we have included on your licence
- we refuse your application
- we do not process your application on time
- we serve notice on you regarding the type or number of applications you have applied for
We will send details of how you can make an appeal when we begin and finish determining your application.
**Which forms do you need?**
The table below shows which forms are required for your proposal, or changes to your existing licence. It also shows whether a fee is required. Our current application fees are detailed on our website.
<table>
<thead>
<tr>
<th>Application type</th>
<th>Application fee</th>
<th>Forms required</th>
</tr>
</thead>
<tbody>
<tr>
<td>Pre-application enquiry - non-hydropower applications.</td>
<td>No</td>
<td>WRA</td>
</tr>
<tr>
<td>Pre-application enquiry - hydropower applications</td>
<td>No</td>
<td>WRA & WRB</td>
</tr>
<tr>
<td>Groundwater Investigation Consent</td>
<td>No</td>
<td>WRC</td>
</tr>
<tr>
<td>New full abstraction licence: for abstractions from a surface or groundwater source greater than 20 cubic metres per day (m³/day) for a period of more than 28 consecutive days.</td>
<td>Yes</td>
<td>WRA* & WRD</td>
</tr>
<tr>
<td>New temporary abstraction licence: for abstractions greater than 20 m³/day for a period of less than 28 consecutive days. Note we can only issue one temporary licence to an applicant for the same purpose and from the same source of supply.</td>
<td>Yes</td>
<td>WRA* & WRD</td>
</tr>
<tr>
<td>New licence to transfer water: for abstractions greater than 20 m³/day to transfer from one source of supply to another without an intervening use for a period of more than 28 consecutive days.</td>
<td>Yes</td>
<td>WRA* & WRD</td>
</tr>
<tr>
<td>Renewal of a time-limited licence: to renew a licence nearing expiry, under the same or different terms. You must submit this form at least 3 months before your existing licence is due to expire.</td>
<td>Yes</td>
<td>WRA* & WRD</td>
</tr>
<tr>
<td>Technical variation of an abstraction licence: to make a change to an existing licence which cannot be captured within form WRF**.</td>
<td>Yes</td>
<td>WRA* & WRD</td>
</tr>
<tr>
<td>New impoundment licence: if you plan to construct, alter or remove an impounding structure (weir or dam) to obstruct, impede or divert the flow of inland water.</td>
<td>Yes</td>
<td>WRA* & WRE</td>
</tr>
<tr>
<td>Remove an existing impoundment.</td>
<td>Yes</td>
<td>WRA & WRE</td>
</tr>
<tr>
<td>Technical variation of an impoundment licence, such as an alteration to the structure.</td>
<td>Yes</td>
<td>WRA & WRE</td>
</tr>
<tr>
<td>To make an administration change to an existing licence which does not require any consultation, such as updating Licence Holder name and address.</td>
<td>No</td>
<td>WRF</td>
</tr>
<tr>
<td>Reduce the quantity of water you abstract.</td>
<td>No</td>
<td>WRF</td>
</tr>
<tr>
<td>Revoke (cancel) your licence</td>
<td>No</td>
<td>WRF</td>
</tr>
<tr>
<td>Transfer the whole of an abstraction or impoundment licence from one person or company to another.</td>
<td>No</td>
<td>WRF</td>
</tr>
</tbody>
</table>
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 2 of 17\</page_number>
<table>
<tr>
<td>Apportion (split) an existing licence between two or more persons.</td>
<td>No</td>
<td>WRF</td>
</tr>
</table>
- If you have completed and submitted form WRA as part of a pre-application enquiry, and there have been no changes to your proposal it is not necessary to resubmit it as part of your formal application.
\*\*A technical variation to a licence is one which requires us to consult internally and possibly externally before we can reach a decision. For instance, a change to the means of abstraction or impoundment is considered a technical variation as amended drawings will need to be checked. An administrative variation does not require consultation and includes amendments to the Licence Holder’s name or address or a reduction in abstraction quantities. If the change(s) you propose are not on form WRF, you will need to apply for a technical variation.
**Cost of applications** The current application costs are available in our Abstraction Charges Scheme on our website.
We will not progress with your application where no or an incorrect fee has been submitted or when forms are not fully completed and we have insufficient information to make a decision.
Cheques and postal orders should be made payable to Natural Resources Wales and crossed ‘a/c payee only.’ On the back of your cheque you should make a note of your proposal name and application reference number. The fee must be submitted with your completed application form and supporting documents. We can accept card payments by Visa, MasterCard or Maestro cards only. Please include a cover note asking us to call you to arrange payment. If you choose to pay by electronic transfer (BACS), you will need to use the following information to make your payment. Include your reference number on your application form.
Company name: Natural Resources Wales Company address: Income Dept, Cambria House, 29 Newport Road, Cardiff CF24 0TP Bank: Citigroup Centre Address: Canada Square, London, E14 5LB Sort code: 08-33-00 Account number: 12800578 IBAN number: GB49 CITI833 0012 8005 78 SWIFT/BIC number: CITI GB2LXXX Email details to: online@naturalresourceswales.gov.uk Or fax details to: 0300 065 3001
You need to create a unique reference number for each application fee. It should begin with PRC (to reflect that the application is for a permitting activity) and it should include up to the first 8 letters of your company/individual name with a 3 digit pin number e.g. PRCXXXXXXX123.
**Where to send your completed form(s)** For an improved service, we encourage you to submit your application(s) electronically. Please send your completed application form and any supporting information by email to permitreceiptcentre@naturalresourceswales.gov.uk or by post to:
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 3 of 17\</page_number> Permit Receipt Centre Natural Resources Wales Cambria House 29 Newport Road Cardiff CF24 0TP
**To find a National Grid Reference** Your application form will ask for a National Grid Reference (NGR). To find out an NGR go to www.gridreferencefinder.com.
- Enter your postcode
- Locate the position of your point (abstraction / discharge)
- Right click at this location to view your 12 digit grid reference If you do not have access to the internet, you could look for your grid reference by using an Ordnance Survey map.
**Data Protection Act 1998** The information provided by you will be processed by Natural Resources Wales in line with the Data Protection Principles to enable us to process your application, to monitor compliance with the licence/registration conditions, to process renewals, and for maintaining the relevant public register.
We may process and/or disclose the information in connection with the following:
- Consultation with third parties who are relevant and responsible for responding to consultation requests from NRW to enable us to process your application.
- Providing \*public register information for enquiries
- Prevent and investigate possible breaches of environmental law and taking any resulting action
- Responding to requests for information under the Freedom of Information Act 2000 and the Environmental Information Regulations 2004, where the Data Protection Act allows
- Carrying out statistical analysis, research and development on environmental issues
*\*Public Register* Water Resources abstraction and impoundment licences are determined in line with the following legislation:
- Water Resources Act 1991 (as amended by the Water Act 2003),
- Environment Act 1995
- The Water Resources (Abstraction and Impounding) Regulations 2006 (as amended by the Water Resources (Abstraction and Impounding) (Amendment) Regulations 2008)
- The Natural Resources Body for Wales (Functions) Order 2012
These require Natural Resources Wales to keep a register of licences and supporting documents including the name and address of the applicant, the date of the application and brief particulars of its proposals except where exclusions apply.
**Exclusions of confidential information or information affecting national security** When submitting your application you may give us notice stating that in your opinion
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 4 of 17\</page_number> the inclusion of the information on a public register would be contrary to the interests of national security, or may be commercially confidential.
To support this you must provide us with a statement or documents detailing why you believe the exclusions apply. We will assess your reasons and decide if we can uphold your request. Where this is the case we will place on the public register a statement indicating the existence of the exempt information. Where we do not uphold your request we will inform you of our decision and any further options available to you to dispute our decision.
**Who can apply for a licence and sign the forms?** Each individual (or individual trustee) who is applying for their name to appear on the licence must complete this declaration.
<table>
<tr>
<td>Type of Licence Holder:</td>
<td>Signature needed:</td>
</tr>
<tr>
<td>Individual / sole trader</td>
<td>*The Licence Holder</td>
</tr>
<tr>
<td>Registered company</td>
<td>Company director or company secretary</td>
</tr>
<tr>
<td>Organisation of individuals (other than partnerships, trusts and charities)</td>
<td>The chairman, treasurer, secretary or other person authorised to represent the organisation</td>
</tr>
<tr>
<td>Partnership</td>
<td>One or more of the partners</td>
</tr>
<tr>
<td>Trust</td>
<td>All trustees or the chairman, treasurer or secretary</td>
</tr>
<tr>
<td>Charity</td>
<td>A person authorised to sign documents on behalf of the charity</td>
</tr>
<tr>
<td>Public body (i.e. a local authority)</td>
<td>A person authorised to sign on behalf of the organisation</td>
</tr>
</table>
- If an agent is to sign on behalf of the Licence Holder, a letter of authorisation from the Licence Holder is required.
On the application form, you need to provide us with the following details, depending on the type of applicant you are.
<table>
<tr>
<td>If the applicant is…</td>
<td>Then they must provide:</td>
</tr>
<tr>
<td>An individual</td>
<td>their full name</td>
</tr>
<tr>
<td>A company</td>
<td>the address of the Registered Office and a company registration number, in line with Companies House records</td>
</tr>
<tr>
<td>An organisation of individuals (other than partnerships, trusts secretary or other person and charities – see below)</td>
<td><ul><li>full names and addresses of all partners</li><li>the trading name</li><li>the trading address</li></ul></td>
</tr>
<tr>
<td>A club or charity</td>
<td><ul><li>give the full names and addresses of all trustees</li><li>give the name and address of the person authorised to receive the licence on their behalf</li></ul></td>
</tr>
</table>
**Form WRA - About you & your proposal (pre-application & formal)**
We recommend you seek pre-application advice from us before submitting a formal application for an abstraction or impoundment licence or for complex variations to existing licences. To do this, complete Form WRA with your details and the details of
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 5 of 17\</page_number> your proposal. If you are submitting a hydropower pre-application enquiry, complete forms WRA and WRB. We will consult on your plans and tell you how successful your application is likely to be, and offer you bespoke advice on submitting a formal application. There is no application charge for this service.
If no changes are required to your proposal following our pre-application advice, you can submit a formal application by completing either Form WRD (abstraction) and/or Form WRE (impoundment), and providing the appropriate application fee. If changes are made to your proposal on the basis of our advice, you must complete a new Form WRA and submit this with either Form WRD and/or WRE and the application fee.
**Section 1 – Application type and fee**
Specify the type of application you wish to apply for. If your proposal involves multiple licence types, tick all that apply (i.e. an abstraction and impoundment licence to authorise a hydropower scheme).
Provide details of how you wish to pay your application fee (there is no charge for pre-application enquiries or administrative variations) and provide a reference number, where relevant. Please note the ‘Cost of applications’ section above.
**Section 2 – Applicant type**
This is who the licence would be issued to, and must be a legal entity. The tables above clarify who can act as signatories. If you are a registered company or charity or a limited liability partnership, you must provide your registration number and your UK registered address. Where additional details are required (i.e. names and addresses of all partners of a club/charity), please include these on a separate sheet. Our correspondence with you will be via email unless you specify otherwise in this section.
You can nominate other individuals as the contact for activities related to your proposal. You are not required to provide these details for a pre-application enquiry. Provide these details in Section 3. For temporary, transfer or impoundment licences, you do not need to provide an invoice contact or abstraction records (returns) contact.
**Operations (on-site) contact:** this is the contact for the day-to-day running of the operation. **Invoice contact:** this is required for abstractions which incur an annual charge. This charge is calculated using a number of factors, see our Abstraction Charging Scheme on our website. No annual charges are incurred by temporary, transfer or impoundment licences or abstraction licences for power generation less than 5 Megawatts. Bills are sent out annually or bi-annually for spray irrigators operating under a two part tariff billing agreement. Application fees and annual charges are subject to change each April. **Abstraction records (returns) contact:** The holder of an abstraction licence is usually required to measure the volumes of water they take and report these volumes to us at a certain time. If customers abstract water all year, their abstraction records (returns) letter will be sent around April. If they abstract only in the summer months, the returns letter will be sent around October. The conditions of your abstraction licence will tell you how often you need to record the amount of water you abstract and most licences will also ask you to submit a record of your actual abstraction (known as ‘returns’) to us. Even if you have not abstracted any water, you must submit a nil return if your licence states that you must report your water use. If you do not submit your record of actual abstraction when required to do so, we may take enforcement action against you. If you spray irrigate and hold a two part tariff billing agreement your charges are partially calculated on the amount of water abstracted. To gain the full financial
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 6 of 17\</page_number> benefits of this agreement it is important that you submit your returns, even if you have not abstracted any water.
**Section 3 – Agent or nominated individual details** Provide details of an agent or individual nominated as a point of contact for any of the purposes outlined in Section 2. If this person is signing on behalf of the applicant, please include a letter of authorisation from the applicant allowing the agent to sign on their behalf.
**Section 4 – Entitlement to apply** This section relates solely to formal applications to abstract water. The Supporting Guidance Note (SGN) '1 Rights of access guidance for abstraction licences' on our website outlines the evidence required by NRW to demonstrate that an applicant has a legal right of access to the point of abstraction (including underground strata for groundwater abstractions) for a period of at least one year or the duration of the licence. This document also includes a template agreement to enable you to provide evidence of your access entitlement. We strongly recommend that you refer to this document ahead of submitting any pre-application or formal application for an abstraction licence.
**Section 5 – Application reference number** If you have undertaken a pre-application enquiry, provide your application reference number. If you have had any discussions with us about your proposal, include the staff member’s name here.
**Section 6 – Remediation work** Specify here if your proposal is as a result of our Restoring Sustainable Abstraction programme or other remediation work, to prevent and reduce environmental damage.
**Section 7 – Source of Supply**
7.1 Tick the relevant box to indicate if you intend to abstract from surface water (e.g. stream, leat, spring) or groundwater (borehole, mine, unlined excavation). If you are unsure which option to choose, seek advice from us. If you have a Groundwater Investigation Consent, you should include the consent number here. If you have not yet provided us with the results of your pumping test, attach them to this application. For proposals which involve investigating a new groundwater resource, you should read Guidance Note WRC/0 for information on this type of application and contact our Geoscience team (geoscience@naturalresourceswales.gov.uk) before submitting a Groundwater Investigation Consent enquiry.
7.2 Provide a 12 digit National Grid Reference (NGR) for your proposal (e.g. ST 19057 76826). This can be a central or key point on your site for large scale proposals. Page 4 details how to derive your NGR from a postcode.
7.3 Include the name of the source of supply or location of the proposed impoundment (e.g. Afon Giaslyn).
7.4 Provide the site name or reference (e.g. Tŷ Mawr Farm) for your proposal. The latter is how we may refer to your proposal in our correspondence.
**Section 8 – Proposal summary** You must provide a summary of your proposal here. If you are submitting a pre-application enquiry for an abstraction licence, this section must include the quantities you intend to abstract - from the instantaneous/peak abstraction rate (in litres per
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 7 of 17\</page_number> second (l/s)) and the hourly (m³/hour), daily (m³/day) and annual quantities (m³/year) you require. You should also include the period when you want to abstract. For temporary licences, you just need to specify the total quantity (m³) and peak abstraction rate (l/s).
As a guide, this section should include a description of the activities which (will) take place at your site, the means of abstraction/improvement proposed, if the proposal is related to another licence or consent (i.e. an Environmental Consent to Discharge Water) and details of any survey work undertaken. For changes to existing licences, summarise the changes proposed. Sketches or photographs that will aid our understanding of your proposal can also be included here.
The amount of detail you provide should be relative to the complexity of your proposal. If you are unsure of the level of detail required, contact us for advice.
**FORM WRB – Hydropower Schemes**
Complete this form for hydropower pre-application enquiries only. Before you apply, we recommend you read the suite of Hydropower Guidance Notes (HGN) on our website to understand our approach to licensing hydropower schemes. HGN2: Hydropower Flow Standards will enable you to identify the zone your proposal would be classified as and the indicative abstraction regime we are likely to authorise. This can then be confirmed following a pre-application enquiry.
HGN 8 Fish Passage and HGN 9 Fish Screening provides details on measures required to protect fish and eels at your site. HGN 10 Geomorphology outlines our requirements for a Stage 1 photo survey and HGN 13 Approvals, Licenses and Consents details the permissions required from ourselves and your local Planning Authority. Please submit a copy of any advice received from your Planning Authority.
Please send us a copy of the full flow duration curve for the site and confirm the method used to derive this. If you have used modelling software such as LowFlows, please provide us with a copy of the output (graph, data and catchment map) including the Long Term Average rainfall. This is so that we can verify your flow values and catchment size.
**FORM WRC – Groundwater Investigation Consent** Guidance Note WRC includes information to assist you to complete your application for a Groundwater Investigation Consent.
**FORM WRD – Abstraction licences**
**Section 1 – Application type** Specify the type of application you are making. If you had previously undertaken a pre- application enquiry, provide your reference number. This will enable us to utilise the Form WRA you submitted, assuming no changes have been made to your proposal since then. Any changes should be reflected in a new Form WRA to be submitted with your formal application. If you wish to make a technical variation to an abstraction licence, provide the existing licence serial number here. See ‘Water Resources Licensing – General Information’ section above for clarification on the difference between technical and administrative variations.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 8 of 17\</page_number> For hydropower abstractions, you must specify the capacity of your scheme from one of the four options provided. This determines the application charge for your proposal in line with our Abstraction Charges Scheme.
**Section 2 – Linked licences**
Water rights trading is where a Licence Holder sells all or part of their abstraction licence rights, permanently or temporarily, to another person. If your proposal involves water rights trading, provide the licence serial number(s) for all relevant licences.
If the quantities applied for are to be aggregated (shared) with any other licence which you hold, provide this licence serial number. This will mean that each licence will have an individual abstraction limit and there will also be an overall limit on the total amount you can abstract under all licences. That total will be less than the sum of the individual abstraction limits.
**Section 3 – Abstraction details**
Provide a 12 digit National Grid Reference (NGR) and name/reference for all points of abstraction which corresponds with any maps or drawings submitted. Specify if the abstraction location is a single point or reach (a stretch of water along which you may abstract at any point). If you propose to abstract from a reach, provide the two NGRs which define the extent of the reach (upstream and downstream NGRs).
**Section 4 – Means of abstraction**
Provide full details of the equipment you propose to use in order to abstract the quantities you are applying for. The design of any fixed intake structures will be included in the licence. For groundwater abstractions, include details about the borehole (depth and diameter) and details of screening and lining.
If your proposal includes a fixed intake structure you must enclose drawings, plans and cross sections of the intake design that clearly indicate the dimensions of the structure and the size of any associated pipework. These will be appended to the licence document. Minor amendments to drawings made prior to construction can be agreed with NRW. Your licence will include details of how to do this. Revisions of drawings post-construction may require a technical variation to your licence.
**Section 5 – Abstraction quantities**
Provide the purpose, period and volumes you propose to abstract for each abstraction point. If water is to be used for multiple purposes (i.e. dust suppression and mineral washing), provide a breakdown of the abstraction quantities for each different use. You need to give the instantaneous/peak abstraction rate (in litres per second (l/s)) and the hourly (m³/hour), daily (m³/day) and annual quantities (m³/year) you require for each purpose.
If you are applying to amend the quantities you are authorised to abstract under an existing licence, state the new quantities you wish to abstract. To reduce the quantities you abstract, complete Form WRF.
For hydropower abstractions, please read HGN2: Hydropower Flow Standards for confirmation of the maximum instantaneous abstraction rate we will authorise for each zone.
For temporary licences, you only need to specify the total quantity (m³) and peak abstraction rate (l/s).
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 9 of 17\</page_number> Section 6 – Calculations and supporting information
Use this section to show us how you have derived the abstraction quantities you are applying for. This can include details of your operational regime (number of hours/days you intend to abstract), any non-statutory management agreements or irrigation practice, i.e. pump capacity multiplied by hours of operation. For example, a management agreement could be reached between a group of abstractions to protect downstream water users. If your proposal involves the provision of a residual flow via a notch or orifice, provide information on how this has been calculated. This should include details of the equation used.
Section 7 – Industry-specific requirements
Applications are assessed on your justification of the quantities requested. We use this information to determine if the volumes you propose to abstract are appropriate for that purpose. To do this we need to understand your demand for water and how it relates to the scale of your operation. This section is broken down into the main abstraction purposes we authorise. If your intended use is not covered here, use the examples as a basis for demonstrating to us how you have calculated the amount of water you require (i.e. number of units, area etc). The tables include examples to assist you. We will cross-reference this with our data to ascertain if the quantities you propose are in line with the recommended optimum use for your sector.
7.4 Hydropower
Complete these tables with the details of your hydropower scheme and flow data. See HGN2: Flow Standards for more information. State the length (in metres) of the depleted reach. This is the distance between the abstraction and discharge points.
If you have completed these tables on form WRB as part of a pre-application enquiry, and your proposal has not changed since then, you do not need to complete these again.
You will need to submit a copy of the full flow duration curve for the site and confirm the method used to derive this. If you have used modelling software such as LowFlows, you will need to submit a copy of the output (graph, data and catchment map) including the Long Term Average rainfall. This is so that we can verify your flow values and catchment size.
Section 8 – Means of measurement
For each abstraction point we need to know how you intend to measure the quantities you abstract. This may be using a water meter, based on pipe size, or pump capacity and the duration of abstraction. Depending on the size of your operation or the sensitivity of the location, measurement of quantities and submission or maintenance of this data are likely to be a condition of your licence. This is not a requirement of temporary or transfer licences.
For hydropower applications, you can use the power generated to calculate your abstracted quantities. We will supply you with a calculation checklist to record the site data and calculate the Hydro Abstraction Factor for the site to allow conversion of electrical output to quantities abstracted.
Section 9 – Water efficiency
Provide details of what measures you have applied or intend to implement to ensure efficient use of water. This could include water storage, re-use or recirculation,
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 10 of 17\</page_number> monitoring and checking for leaks, undertaking water audits or other industry-specific good practice.
**Section 10 – Fish and eel considerations**
We have duties to safeguard fish and European eels and need to know how you intend to protect these at your site. Any measures to safeguard fish and eels need to be included on your drawings (details and dimensions). See our guidance notes HGN 8 Fish Passage and HGN 9 Fish Screening on our website for details of good practice for fish and eel considerations. The Environment Agency’s ‘Screening for Intake and Outfalls: a best practice guide,’ ‘Elver and Eel Passes’ and the ‘The Eel Manual,’ available on their website, are useful guides to assist you. See also the ‘Eels (England and Wales) Regulations 2009’ regulatory position statement for details of how we will implement the regulations.
**10.1** Confirm the fish species present at your site. If you completed a pre-application, we will have made you aware of this. If no measures are proposed, you must justify this. For example, we may have confirmed in our pre-application response that the intake is inaccessible to fish, or you undertook a fish survey to confirm this.
**10.2** Complete the table to detail the measures you propose to include to protect the fish species present at your site. Provide details of all screening proposed.
If, following your pre-application enquiry, we advised you that a formal (technical) fish pass is required, please complete form FP002.
**Section 11 – Discharge Details**
**11.1** If you intend to return any abstracted water to the environment, we also need to consider the impact of this. Do not include discharges to a public sewage system. Provide details of the discharge location using names/references which correspond with any maps submitted, 12 digit NGR and quantities to be discharged. An Environment Permit for Water Discharge Activity may be required to authorise a discharge to surface or groundwater. If you already hold such a permit at this site, provide the consent number. If you are unsure if a consent is required, contact us before you submit your formal application.
**11.2** Provide a description of the structure and equipment involved in the discharge. This will help our understanding of how the environment could be impacted by the proposed return of water.
**Section 12 – Other abstractors / water users**
We need to consider how your proposal could impact other abstractors or water users. Provide details of any nearby abstractors you are aware of. You should also consider deregulated water users (who abstract less than 20 cubic metres a day) or exempt activities. Your Local Authority’s Environmental Health department will hold details of exempt domestic abstractors under the Private Water Supplies Regulations. You should also consider anglers or canoeists and other water users, who may be affected by your proposal. Early dialogue with any such water users is encouraged.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 11 of 17\</page_number> **Section 13 – Planning application**
Confirm if you have sought advice from your local Planning Authority about your proposal. If applicable, provide a copy of their response with your application.
**FORM WRE – Impoundment licences**
Before you apply for an impoundment licence, we recommend you read our Low Risk Impoundment regulatory position statement on our website. This outlines the types of proposals or scenarios which do not require an impoundment licence. For impoundments, we advise you submit a pre-application enquiry to us to determine if we require any additional information or surveys as part of your formal application.
**Section 1 – Application type**
Specify the type of application you wish to apply for. If you are applying for a technical variation or to remove an existing impoundment, provide the licence serial number. It is an offence to remove or partially remove impounding works without a licence or without complying with any conditions that we may set. This applies to any impounding works, whether they are currently authorised by a licence or not. We need to licence or condition the removal of impounding works in order to regulate them.
If you have already submitted Form WRA for a pre-application enquiry, give your enquiry reference number. If you do not know the licence serial number, or the impoundment is unlicensed, specify this in your application.
**Section 2 – Impoundment details**
2.1 Provide a 12 digit NGR and name/reference for all points of impoundment, which correspond with any maps or drawings submitted. If you propose to impound a reach, provide the NGRs of the left and right bank, as you look downstream.
2.2 Provide details about the type of impoundment you propose to construct at the points specified in 2.1 and how the works will operate. This should include a description of any existing works and how your proposal will affect the flow of inland water. Tell us the purpose of the works. If the water is to be impounded for more than one purpose, list both the primary and secondary purpose.
**Section 3 – Description of impoundment**
For this section, use the same name/reference as provided in 2.1 and on any maps submitted.
3.1 Provide the name of the watercourse where the impoundment is to be located if known. If your proposal is offline, give the name of the nearest watercourse. This may be how we will refer to your proposal in our correspondence.
3.2 We need to know if your proposal will result in a change to the wetted perimeter (downstream) or new submerged areas behind (upstream of) the impounding works. This will help us understand the impact of your plans. Mark these areas on any map submitted.
3.3 State whether the ponded area will be lined, and if so, provide details of what kind of liner you will be using in the submerged area. If the area is not lined, we may need to consider if there is connectivity with groundwater.
3.4 Provide the height of the proposed structure, as measured from the top of the downstream toe of the structure to the crest or top of the spillway. If your proposal
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 12 of 17\</page_number> involves an amendment to an existing impoundment, state the change in height which your proposal will result in.
**3.5** Confirm the level of the overflow or crest of the dam in metres above Ordnance Datum. This is the height above which water will overtop the structure and enter the watercourse downstream.
**3.6** Tell us the planned capacity, in cubic metres, of the works when full to spillway level. Raised reservoirs with a capacity of 25,000 cubic metres or more must be registered with us. If your proposal involves a reservoir with a capacity of more than 10,000 cubic metres, you are advised contact our Reservoir Safety team (reservoirs@naturalresourceswales.gov.uk) to discuss forthcoming amendments to the Reservoir Act 1975 under Schedule 4 of the Flood and Water Management Act 2010.
**3.7** Clarify if your proposal will create a raised reservoir. A raised reservoir is one where water is stored at a level above the natural level of the lowest level of the surrounding area.
**3.8** If your proposal involves the controlled release of water to safeguard downstream flows, state where and how this will occur. This could be the release of flood attenuation flows, reservoir compensation flows or a residual flow via a notch or orifice. Tell us what the proposed flow at the outlet will be and how you intend to measure this. If the works involve monitoring of levels or flows, include details of this.
**3.9** We want to know if you intend to use the impounded water for a subsequent purpose and what this use will be. If you intend to abstract water from the impounded area, state the amount you will abstract each day and year. This will help us understand if another permission is required for your proposal.
**3.10** We want to know how the impounded area will be filled initially and how any subsequent refills will be undertaken, for example by rainwater, overland flow or pumped from another source. This will help us understand if other permissions are required as part of your proposal.
## Section 4 - Fish and eel considerations
We have duties to safeguard fish and European eels and need to know how you intend to protect these at your site. Any measures to safeguard fish and eels need to be included on your drawings (details and dimensions). See our guidance notes HGN 8 Fish Passage and HGN 9 Fish Screening on our website for details of good practice for fish and eel considerations. The Environment Agency’s ‘Screening for Intake and Outfalls: a best practice guide,’ ‘Elver and Eel Passes’ and the ‘The Eel Manual,’ available on their website, are useful guides to assist you. See also the ‘Eels (England and Wales) Regulations 2009’ regulatory position statement for details of how we will implement the regulations.
**4.1** Confirm the fish species are present at your site. If you completed a pre-application, we will have made you aware of this. If no measures are proposed, you must justify this. For example, we may have confirmed in our pre-application response that the intake is inaccessible to fish, or you undertook a fish survey to confirm this.
**4.2** Complete the table to detail the measures you propose to include to protect the fish species present at your site. Provide full details of any screening proposed (intake and outfall) and confirm the type of upstream and/or downstream passage planned.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 13 of 17\</page_number> If, following your pre-application enquiry, we advised you that a formal (technical) fish pass is required, please complete form FP002 and send to the Natural Resource’s Planning Team in your area.
**Section 5 – Construction, maintenance and operation**
**5.1** Provide details of maintenance or activities relating to the operation of the impounding works. Include the extent and frequency of activities. This could include the operation of scour valves or maintenance of a fish pass. Describe any sediment management plan associated with the impoundment. We need to consider if these activities will have any impact on the watercourse in themselves.
**5.2** Provide details of the diversion works required as part of construction. If your proposal involves the removal of existing works, provide details of this. If you wish to include a method statement, make a reference to this document in the space provided.
**Section 6 – Planning application** Confirm if you have sought advice from your local Planning Authority about your proposal. If applicable, provide a copy of their response with your application.
**Additional information required – Drawings and design statement** For impoundment applications, full detailed scale drawings of your proposal showing how you will ensure physical protection of any residual flow and/or any flow split should be submitted with your formal licence application. Drawings should also include any fish passage or screening proposed as part of your application. The drawings should meet the following minimum requirements:
- Location Plan at 1:5,000, 1:10,000 or larger scale, subject to the extent of the development with the land boundary clearly marked.
- Site plans of the intake and discharge structures at 1:1,250 or 1:2,500.
- Plan, profile and cross-section drawings for the impounding structure at a scale of 1:50 or higher resolution to show construction detail. These must detail weir crest, intake and residual flow structure crest heights or invert levels with reference to an appropriate datum point, for example Ordnance Datum.
- A design statement clearly explaining how the structure will operate in accordance with the abstraction regime, including details of how any residual flow will be maintained. Supporting design calculations of these must be included.
**FORM WRF – Administrative Variations to Existing Licences**
See text in the ‘Water Resources Licences – General information’ section of this Guidance Note for clarification on what constitutes an administrative change to a licence.
**Section 1 – Type of variation** Indicate what type of change you wish to make to your licence. The form specifies which sections you are required to complete, based on the type of change proposed. **Sections 1, 2, 3, 4 and 10 must be completed for ALL types of administrative variations.**
**Section 2 – The licence you want to change** 2.1 Provide the licence serial number(s) of the licence(s) you want to change.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 14 of 17\</page_number> 2.2 Specify here if your proposal is as a result of our Restoring Sustainable Abstraction programme, or other remediation work, to prevent and reduce environmental damage.
2.3 Water rights trading is where a Licence Holder sells all or part of their abstraction licence rights, permanently or temporarily, to another person. If your proposal involves water rights trading, provide the other licence serial number. Next complete Sections 3, 7, 9 and 10.
**Section 3 – Current Licence Holder details** Provide the current Licence Holder's details here. The table on Page 4 clarifies who can act as signatories. If you are a registered company or charity or a limited liability partnership, you must provide your registration number and your UK registered address. Where additional details are required (i.e. names and addresses of all partners of a club or charity), please include these on a separate sheet. You can nominate other individuals as the contact for this variation. Provide this person's details in Section 4.
**Section 4 – Agent or nominated individual details** Provide details of an agent or individual nominated as a point of contact for any of the purposes outlined below. If this person is signing on behalf of the Licence Holder, please include a letter of authorisation from that person allowing the agent to sign on their behalf.
Operations (on site) contact; this is the contact for the day-to-day running of the operation. Invoice contact: this is required for abstractions that incur an annual charge. See text in Form WRA Section 2 of this guidance note for more information about charges. Abstraction records (returns) contact: The holder of an abstraction licence is required to measure the volumes of water they take and report these volumes to us at a certain time of year. See text in Form WRA Section 2 of this guidance note for more information about abstraction records.
**Section 5 – Administrative changes** For administrative changes to licence conditions, complete the table provided. You should state what aspect of the current licence you wish to amend in the first column; the change you propose in the second column and the reason for this change in the third column. Repeat this for all change requests. Next complete Section 10.
**Section 6 – Reduction in licensed quantities** 6.1 For each abstraction point, specify in cubic metres the current quantities authorised by your licence and state the new volumes you propose. You must give the annual, daily and hourly maximum quantities you require.
6.2 If the licensed quantities you wish to change are aggregated (shared) with any other licences you hold, provide these licence serial number(s). We will then consider the amendments required to the other licence(s). Next complete Section 10.
**Section 7 – Revocation declaration** Please enclose your original licence with the application.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 15 of 17\</page_number> **All licences** It is important you understand that, if you want to apply for a new licence following revocation, we may not be able to issue a new licence on the same terms, or at all. Any future proposal would be assessed as a brand new application, based on the resource availability at that time.
**Abstraction / impoundment licence** Tick the statements that apply to the licence(s) you wish to revoke. Next complete Section 10.
**Section 8 – Transfer of Licence Holder / Apportioning a Licence** You can choose to transfer the entire licence to another person/company or you can apportion a share of your licensed quantities to another person/company. You must both complete this form. If the new Licence Holder is a company, you must provide the address of the Registered Office and a company registration number, in line with Companies House records
**8.1** Specify whether you want to transfer or apportion the licence in this section. For both purposes, complete the rest of Section 8 and then Section 10. For apportionments, also complete Section 9.
**8.2** Confirm what date you want the transfer to take place.
**8.3** Give the details of the proposed new Licence Holder. Confirm who the contact should be for operations, invoices and abstraction returns. For each of these purposes, select the original or the new Licence Holder. See Form WRA Section 2 in this document for more details.
**8.4** For transfers or apportionment, the proposed new Licence Holder must have a legal right to the point of abstraction. Confirm if the proposed new Licence Holder has a right of access or owns/occupies the land. This is required to demonstrate that an applicant has a legal right of access to the point of abstraction (including underground strata for groundwater abstractions) for a period of at least one year or the duration of the licence. See SGN1 ('Rights of access guidance for abstraction licences') on our website for more information. You must submit a map showing the extent of the new Licence Holder’s land ownership with the point(s) of abstraction clearly marked or the evidence outlined in SGN1.
**Section 9 – Apportionments of quantities** For apportionments only, complete this table to show how the licensed quantities will be split between multiple Licence Holders. State the period of abstraction (either dates or number of hours a day) and the annual, daily and hourly maximum quantities in cubic metres.
**Section 10 – Signatures** This section must be completed for all types of administrative variations. If your proposal involves an administrative change, a reduction in quantities or a revocation, you should sign this section.
If your proposal involves a transfer of Licence Holder or apportionment of quantities, all parties need to sign this section. See the section above ‘Who can apply for a licence and sign the forms?’ for details of who the authorised signatories are for companies and groups of people.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 16 of 17\</page_number> **Death or bankruptcy of a Licence Holder**
If the Licence Holder dies or is an individual who is declared bankrupt, the licence can become the responsibility of (can be ‘vested’ to) their trustee. No form is required but the trustee must notify us in writing within 15 months that they are responsible for the licence. If they do not notify us within 15 months, the licence will cease to have effect. There is no guarantee a new licence on the same terms could be issued in the future.
If you are transferring the licence into your name within this 15 month period and the original Licence Holder is unavailable to sign the form, documentary evidence will need to be submitted to authorise the transfer, for instance a copy of a death certificate.
**Further assistance**
If you are unsure about any aspect of this form, phone us on 0300 065 3000 (Mon-Fri, 8am - 6pm) or email enquiries@naturalresourceswales.gov.uk
Please consult our website for details of other permissions which may be required as part of your proposal.
WRX - Guidance Note for completing Water Resources application forms \<page_number>Page 17 of 17\</page_number>
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<img>Ministry of JUSTICE logo</img> **Improvements to Race and the Criminal Justice Statistics – Statistical Notice**
10th June 2010 **Improvements to Race and the Criminal Justice System publication**
On 17th June 2010, the Ministry of Justice are publishing Race and the Criminal justice system – an annual publication that brings together statistics on ethnicity from across the Criminal Justice System.
Following feedback from users and methodological advice from the Office for national Statistics I have decided as Chief Statistician that the following improvements should be made to the publication.
1. A much simpler publication for users to understand the key messages with a simplification of the structure of the report into five key areas:
- Victims
- Suspects: Police Stops and Arrests
- Offenders: Cautions, Prosecutions and Sentencing
- Offenders: Under Supervision or in Custody
- Practitioners in the Criminal Justice System
2. A clear summary highlighting the key trends and providing much more detail on changes over time than in previous years.
3. Provision of the same range of detailed information as previous years, but with much of the detail, particularly on all 42 Local Criminal Justice Boards provided as supplementary tables in Excel to allow easy re-use of data
4. Replacing the previously used 2001 Census-based mid year-estimates of ethnicity by police force areas with the Office for National Statistics’ 2007 experimental population estimates by ethnic group (PEEG) for local areas. Due to population changes affecting the composition of ethnic groups in England and Wales, the Ministry of Justice sought advice on which population estimates should be employed in the 2008/9 publication of Statistics on Race and the Criminal Justice System from the Office for National Statistics. The Office for National Statistics advised that the Ministry of Justice used the experimental Population Estimates by Ethnic Group (PEEGs.)
\<page_number>1\</page_number> which provide the best currently available estimates of the resident population by age, sex and ethnic group for mid-2001 to mid-2007 for local authorities in England and Wales. To ensure consistency, revised rates per thousand for previous years are also included in the analysis to allow accurate comparisons over time.
5. Improvements have been made in ethnic monitoring, especially through the roll-out of the police's standard IT interface with the magistrates' courts and the courts own roll-out of its single Libra IT system. The main roll-out of these systems took place in 2008 and has led to improvements that start to be seen for the 2008 period of this report and are expected to continue in future years. To consolidate progress, analysts have worked with Her Majesty's Courts Service (HMCS), representatives from National Police Improvement Agency (NPIA), Association of Chief Police Officers (ACPO), and the Equalities and Human Rights Commission (EHRC) to improve the level of recording in the magistrates' courts.
6. A new appendix containing a glossary to aid understanding of the terms used in the definition and delivery of criminal justice
Iain Bell Chief Statistician Ministry of Justice
\<page_number>2\</page_number> Contact details and further information
For queries, comments or further information on the issues set out in this note, please contact:
Justice Statistics Analytical Services Ministry of Justice 7th floor 102 Petty France London SW1H 9AJ Email: statistics.enquiries@justice.gsi.gov.uk
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Request for Delegation
Can OGL be used?
New business case
Requestor returns completed application
Business case reviewed by Information Policy (IP) team
IP team send requestor draft agreement for signature
Return of final countersigned version
Delegation agreement field, and website updated
APPROVED
REJECTED
Amend minor major
Requestor returns signed Delegation for countersignature
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# London Councils
Total Place – towards a new service model for Londoners
January 2010
<img>Tower Bridge in London</img> <watermark>PRICEWHAERHOUSECOPIERS</watermark>
# Contents
| Section | Page | |---|---| | Introduction | 3 | | Background to this project | 3 | | Total Place – London Councils’ contribution | 3 | | Total Place – a new way of working? | 3 | | Methodology | 5 | | How the mapping was done | 5 | | How the service themes were chosen | 6 | | How the strands were brought together | 6 | | Public expenditure in London | 7 | | Mapping expenditure in London | 7 | | Managing chronic care | 13 | | Introduction | 13 | | What is the problem and why is this a particular issue for London? | 13 | | The current system and its flaws | 15 | | A proposed new system and why this is better | 17 | | Conclusion | 20 | | A whole systems approach to young people exhibiting anti-social behaviour | 21 | | Introduction | 21 | | What is the problem and why is it a particular issue for London? | 21 | | The current system and its flaws | 25 | | A proposed new system and why this is better | 26 | | Conclusion | 29 | | Tackling obstacles to employment | 30 | | Introduction | 30 | | What is the problem and why is this a particular issue for London? | 30 | | The current system and its flaws | 33 | | A proposed new system and why this is better | 34 | | Conclusion | 39 | | Overarching analysis and making the case for change | 40 | | Introduction | 40 | | Extrapolation of findings and potential savings | 44 | | Annex: Non-departmental public bodies operating in London | 45 |
\<page_number>2\</page_number> PricewaterhouseCoopers LLP
# Introduction
## Background to this project
In September 2009, London Councils appointed PricewaterhouseCoopers (PwC) to help develop thinking on Total Place at a pan-London level.
In this paper, we set out the background to Total Place, both nationally and in London, analyse public expenditure in London using the preferred Total Place categorisation of spending, and outline the work we have undertaken with London Councils on the deeper analysis of three important public service areas. Finally, we draw out relevant conclusions from the three thematic analyses that we believe may help to develop the wider public service landscape in London in the Total Place context and highlight the scale of the potential benefits that could be secured.
## Total Place – London Councils’ contribution
London Councils aims to make a distinctive and considered contribution to the debate on Total Place in the capital. As a representative, pan-London body, London Councils’ goals in so doing are complementary to those of the Boroughs undertaking Total Place projects. London Councils is in a position to join up important themes that impact on all Londoners and to see the pan-London position on public services. In that sense, London Councils has the unique advantage of being close to, but not part of local government service provision in the capital.
PwC’s commission was to map expenditure for London at the headline level and apply Total Place thinking to three public service themes. The three themes need to be seen as exemplars of a way of working through Total Place at this early stage: they are certainly not the only relevant Total Place ideas for London. They are:
- Managing chronic conditions
- A whole system solution to the impact of anti social young people
- Overcoming obstacles to employment.
In each case, the objectives were to build a case for more effective joint working by the public sector in London on the chosen theme and then to begin a debate on reasonable and practicable alternatives to the present pattern of service provision. We are not presenting these to London Councils as perfectly worked up solutions; instead, we are putting these forward as ideas that need further expert input and public debate. However, in each case, by applying Total Place thinking, it is already possible to see the potential for significant financial savings, service improvements and better outcomes.
## Total Place – a new way of working?
Total Place is a programme aimed at all localities in England and has its origins in pilot work undertaken in Cumbria under the banners Counting Cumbria and Calling Cumbria. Public sector partners in the county cooperated in a process that produced a map of total public sector expenditure in Cumbria and began the process of exploring together how they could be more effective in spending this resource.
\<page_number>3\</page_number> PricewaterhouseCoopers LLP The term “Total Place” was adopted for this activity by Sir Michael Bichard in his contribution to the Operational Efficiency Programme (HM Treasury, April 2008). Sir Michael’s first recommendation was:
Roll out Total Place, a programme mapping total public spending in a local area and identifying efficiencies through local public sector collaboration to at least 12 pilot sites with a high level reference group to identify how to increase incentives and eliminate the barriers for joint working and with ministerial sponsorship to ensure that issues raised are addressed swiftly across government.
Government has chosen to launch the programme at 13 pilot sites, two of which (Lewisham and Croydon) are in London.
Total Place is an ambitious and challenging programme that, in bringing together elements of central government and local agencies within a place, aims to:
- Create service transformations that can improve the experience of local residents and deliver better value
- Deliver early efficiencies to validate the work
- Develop a body of knowledge about how more effective cross agency working can deliver cost savings and/or better services for citizens.
The Total Place pilots have undertaken two complementary strands of work: the ‘counting’ process that maps money flowing through the place (from central and local bodies) and the thematic/service focus through “deep dives” that explores links between services and identifies where public money can be spent more effectively, most commonly through service design around the citizen.
Our brief from London Councils was to examine the opportunities across London as a whole, complementing the Total Place work that is being undertaken at an individual London Borough level, whether in the two official pilots (Croydon and Lewisham) or by other councils in London.
\<page_number>4\</page_number> PricewaterhouseCoopers LLP
# Methodology
**How the mapping was done**
London Councils commissioned PwC to map public expenditure in London against: services; spending body; funding sources and demographic group. Because of limitations in the data, we were not able to identify expenditure against demographic groups within the capital with sufficient confidence and so have not included that element of the analysis in this report.
Summarised in this report are the expenditure data showing spending by service area and spending body. The reference year chosen was 2008/09 as the latest from which complete data sets are available. The expenditure has been allocated to service blocks using the United Nations’ classification of functions of government (COFOG) definition of public expenditure categories. This is the system used by HM Treasury (HMT) in their national and regional public sector statistical analyses (PESA) and has been adopted as a common language amongst the Total Place pilots.
COFOG is a taxonomy system that breaks down to at least three layers of detail. At level one (the highest category) the COFOG classifications used in the analysis are:
- Defence
- Economic affairs
- Recreation, culture and religion
- Education
- Health
- Public order and safety
- Social protection
- Housing and community amenities
- General public services
- Environmental protection.
The data in this document are sourced from HMT’s PESA set for 2008/09 and the relevant annual accounts for public bodies. The data were segmented into expenditure by national, non-departmental public bodies (such as government agencies) and local bodies (which include the GLA family and primary care trusts). Unlike in other Total Place pilots, we have not undertaken detailed work on the budget books of local bodies in London. There are more than 40 such bodies and so that task alone would have consumed the resources for this project.
\<page_number>5\</page_number> PricewaterhouseCoopers LLP **How the service themes were chosen**
The project was managed by a team from London Councils. A project steering group (with leaders, chief executives and finance directors as members) and a number of officers working at a senior level in local government, helped to choose the themes for in depth analysis. All had an influence on the choice of themes for in depth analysis. It was considered important to choose themes that ranged across a number of public services and partners while also selecting areas where it was clear that the lives of many Londoners could be changed for the better if the services could be improved.
Clearly, the three topics are not the only challenges facing the capital; doubtless some would argue that there are other, more pressing issues that should be considered as part of a Total Place approach to improving outcomes for Londoners. Nonetheless, they provide a helpful starting point for the application of Total Place in London because they:
- Affect large sections of London’s population, either directly or indirectly, and attract large volumes of London’s total public service expenditure
- Require whole-system engagement with vulnerable groups of Londoners who face challenging personal circumstances
- Are areas where the governance, fiscal and delivery landscape is complex and where such whole-system engagement is therefore difficult to achieve.
In summary, these topics exemplify the types of challenges that Total Place was designed to tackle. They provide both a frame of reference and a test bed for a genuinely transformational approach to public service management and delivery.
**How the strands were brought together**
The selection of the themes for further analysis was informed in part by the results of the expenditure mapping exercise. The selected topics sit in some of the higher spending COFOG categories, for example social protection, health and public order and safety, and have the potential to impact upon expenditure in a number of other categories. They also involve interactions between some of the larger institutions that make up the delivery of local public services in London – not only local authorities but also Government departments (such as Department of Health, Department for Work and Pensions and Ministry of Justice) as well as a number of the key NDPBs such as Jobcentre Plus and the Youth Justice Board.
In addition, we were seeking to identify any common themes that could have wider application in developing Total Place solutions to London’s challenges. Examples of these include:
- The potential benefits – in fiscal and outcome terms – of early intervention and a preventative approach
- Testing the importance of effective and more integrated case management in reshaping the local state around the needs of its citizens
- Achieving an appropriate balance between central control where it is needed, and devolution to either the local state or the individual where it makes sense
- The possible need to reshape the role of public service professionals to support Total Place approaches to solving London’s pressing social challenges.
Within the three themes that we studied, we have postulated savings in total of around £1.5bn each year. By applying both the general principles set out above and the learning from the thematic studies, we have suggested that the potential benefits of Total Place approaches that could accrue to the public purse in the capital could be as much as 15% of the £73.6bn total spend per annum: or some £11bn each year.
\<page_number>6\</page_number> PricewaterhouseCoopers LLP
# Public expenditure in London
## Mapping expenditure in London
London is like no other city in the UK – and arguably, it is like few other cities in the world. So in mapping public sector expenditure in London, it is important to acknowledge that London contains the infrastructure of a world city and much of the architecture of the government of the UK. London has many major transport hubs and much of the national infrastructure. It also has a governance structure unlike any other UK city with the office of the Mayor, the Greater London Authority (GLA), many non-departmental public bodies (NDPBs) and the London-wide bodies set up by the boroughs. Even within the South East region, London’s influence predominates more than any of the other regional capitals in England. London’s social and economic influence extends wider and more deeply than any other UK city across a large swathe of England.
For the calculation of London’s share of national expenditure, we have relied on the PESA data which do not disaggregate local (and in London’s case, pan London-controlled) expenditure into the more detailed sub-categories – that is, the information is not available below the top level COFOG headings. So while the expenditure mapping methodology we have used is largely comparable with our other Total Place projects, the results of this mapping need to be seen in London’s particular context.
### The headline results
Total public expenditure in London in 2008/09 was £73.6bn. This amounts to around £10,000 for each London resident.
London’s complex travel-to-work pattern makes this hard to compare to other places as many services and assets - for example the transport system or the police - are heavily used by people who work in London but live elsewhere.
The figure below shows that collective expenditure by local bodies¹ accounted for 58% of the total followed by national departmental expenditure (34%) and NDPBs (8%). London has a more substantial extent of local control (both at the London-wide and borough levels) than other parts of the country due to the additional extent of London-wide government, especially in areas such as transport and economic development.
______________________________________________________________________
¹ ‘Local bodies’ in this report include London Boroughs, London-level government, the PCTs and NHS Trusts. ‘Locally accountable bodies’ refers to elected bodies
\<page_number>7\</page_number> PricewaterhouseCoopers LLP Public Expenditure in London (£m)
<table>
<tr>
<td>Local</td>
<td>£42,900</td>
</tr>
<tr>
<td>National Govt</td>
<td>£25,100</td>
</tr>
<tr>
<td>£5,600</td>
<td></td>
</tr>
</table>
£0 £5,000 £10,000 £15,000 £20,000 £25,000 £30,000 £35,000 £40,000 £45,000
As shown in the figure below, the largest areas of aggregate (national, NDPB and local) expenditure are social protection (£25bn), health (£15bn) and education (£12bn). This reinforces the expectation that much public sector activity is based around meeting the needs of individuals, many of whom are in difficult circumstances. This is similar to the distribution seen across the country, although we would expect some small differences given London’s younger population and smaller geographical area.
The largest share of expenditure (about two-thirds) is dedicated to meeting the needs of individuals and communities. Any move to increase public sector efficiency and effectiveness significantly will need to consider these areas carefully. Activities that lessen the need for state intervention – especially in social protection and health – while at the same time maintaining positive individual and societal outcomes, must be key opportunities to focus upon for potential savings; as these are where the money is spent and where it is possible to limit any potential adverse impact on individual and community outcomes.
Total Expenditure for London (£m)
<table>
<tr>
<td>Total Expenditure for London (£m)</td>
<td></td>
</tr>
<tr>
<td>Social protection</td>
<td>£25,000</td>
</tr>
<tr>
<td>Health</td>
<td>£15,500</td>
</tr>
<tr>
<td>Education</td>
<td>£12,500</td>
</tr>
<tr>
<td>Economic affairs</td>
<td>£7,700</td>
</tr>
<tr>
<td>Public order and safety</td>
<td>£8,400</td>
</tr>
<tr>
<td>Housing and community amenities</td>
<td>£3,200</td>
</tr>
<tr>
<td>General public services</td>
<td>£1,300</td>
</tr>
<tr>
<td>Recreation, culture and religion</td>
<td>£1,200</td>
</tr>
<tr>
<td>Environment protection</td>
<td>£1,200</td>
</tr>
<tr>
<td>Defence</td>
<td>£10</td>
</tr>
</table>
£0 £5,000 £10,000 £15,000 £20,000 £25,000 £30,000
The table below shows that when the global total is broken down by central government, NDPBs and local bodies, the split of expenditure in London by COFOG category was:
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PricewaterhouseCoopers LLP
<table>
<thead>
<tr>
<td>£ millions</td>
<td>National</td>
<td>NDFRs</td>
<td>Local</td>
<td>Total</td>
<td>%</td>
</tr>
</thead>
<tbody>
<tr>
<td>Social protection</td>
<td>£15,510</td>
<td>£350</td>
<td>£9,050</td>
<td>£24,900</td>
<td>34%</td>
</tr>
<tr>
<td>Health</td>
<td>£1,700</td>
<td>£280</td>
<td>£13,500</td>
<td>£15,440</td>
<td>21%</td>
</tr>
<tr>
<td>Education</td>
<td>£2,380</td>
<td>£2,580</td>
<td>£7,550</td>
<td>£12,450</td>
<td>17%</td>
</tr>
<tr>
<td>Economic affairs</td>
<td>£2,380</td>
<td>£770</td>
<td>£4,520</td>
<td>£7,670</td>
<td>10%</td>
</tr>
<tr>
<td>Public order and safety</td>
<td>£2,160</td>
<td>£300</td>
<td>£3,930</td>
<td>£6,390</td>
<td>9%</td>
</tr>
<tr>
<td>Housing and community amenities</td>
<td>£120</td>
<td>£1,190</td>
<td>£1,840</td>
<td>£3,150</td>
<td>4%</td>
</tr>
<tr>
<td>General public services</td>
<td>£250</td>
<td>£50</td>
<td>£980</td>
<td>£1,280</td>
<td>2%</td>
</tr>
<tr>
<td>Recreation, culture and religion</td>
<td>£430</td>
<td></td>
<td>£710</td>
<td>£1,170</td>
<td>2%</td>
</tr>
<tr>
<td>Environment protection</td>
<td>£210</td>
<td>£80</td>
<td>£870</td>
<td>£1,150</td>
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<table>
<thead>
<tr>
<th>Department</th>
<th>£m</th>
<th>Share</th>
</tr>
</thead>
<tbody>
<tr>
<td>1 Work and Pensions</td>
<td>£11,200</td>
<td>43%</td>
</tr>
<tr>
<td>2 Chancellor's Departments (HMT and HMRC)</td>
<td>£2,800</td>
<td>11%</td>
</tr>
<tr>
<td>3 Health</td>
<td>£2,700</td>
<td>10%</td>
</tr>
<tr>
<td>4 Children, Schools and Families</td>
<td>£2,100</td>
<td>8%</td>
</tr>
<tr>
<td>5 Transport</td>
<td>£2,100</td>
<td>8%</td>
</tr>
<tr>
<td>6 Innovation, Universities and Skills</td>
<td>£1,500</td>
<td>6%</td>
</tr>
<tr>
<td>7 Home Office</td>
<td>£940</td>
<td>4%</td>
</tr>
<tr>
<td>8 Justice</td>
<td>£920</td>
<td>4%</td>
</tr>
<tr>
<td>9 Communities and Local Government</td>
<td>£510</td>
<td>2%</td>
</tr>
<tr>
<td>10 Culture, Media and Sport</td>
<td>£450</td>
<td>2%</td>
</tr>
<tr>
<td>11 Defence</td>
<td>£290</td>
<td>1%</td>
</tr>
<tr>
<td>12 Environment, Food and Rural Affairs</td>
<td>£240</td>
<td>1%</td>
</tr>
<tr>
<td>13 Energy and Climate Change</td>
<td>£140</td>
<td>0.5%</td>
</tr>
<tr>
<td>14 Business, Enterprise and Regulatory Reform</td>
<td>£120</td>
<td>0.5%</td>
</tr>
</tbody>
</table>
While most expenditure is in departments' traditional areas (such as the spending of the Department of Health on health), there is also significant expenditure outside these areas based on national shares of departmental spending by COFOG category. As an example, the Ministry of Defence spends approximately £300m annually in London on military and civil services pensions which count as social protection not defence expenditure.
The expenditure of non-departmental public bodies
We have identified 156 NDPBs that spend more than £100,000 and have an influence in London. They are listed in the annex to this paper. NDPBs spent £5.6bn on London and Londoners in 2008/09. The largest area of expenditure is education which accounts for just under half of all expenditure, largely focussed on further and higher education.
<img>NDPB Expenditure for London (£m) chart.</img>
| Category | £m | |---|---| | Education | £2,600 | | Housing and community amenities | £1,200 | | Economic affairs | £780 | | Social protection | £360 | | Public order and safety | £300 | | Health | £290 | | Environment protection | £38 | | General public services | £36 | | Recreation, culture and religion | £36 | | Defence | £2 |
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PricewaterhouseCoopers LLP The table below shows the fifteen largest NDPBs by expenditure. As can be seen, these are dominated by two large education bodies (HEFCE and LSC) and the combined housing funders².
<table>
<thead>
<tr>
<th>NDPB</th>
<th>£m</th>
</tr>
</thead>
<tbody>
<tr>
<td>1 Higher Education Funding Council for England</td>
<td>£1,083</td>
</tr>
<tr>
<td>2 Learning and Skills Council</td>
<td>£875</td>
</tr>
<tr>
<td>3 Home and Communities Agency</td>
<td>£693</td>
</tr>
<tr>
<td>4 Housing Corporation</td>
<td>£439</td>
</tr>
<tr>
<td>5 Legal Services Commission</td>
<td>£275</td>
</tr>
<tr>
<td>6 Office for Fair Access</td>
<td>£250</td>
</tr>
<tr>
<td>7 Jobcentre Plus</td>
<td>£171</td>
</tr>
<tr>
<td>8 Big Lottery Fund</td>
<td>£171</td>
</tr>
<tr>
<td>9 Medical Research Council</td>
<td>£161</td>
</tr>
<tr>
<td>10 Engineering and Physical Sciences Research Council</td>
<td>£118</td>
</tr>
<tr>
<td>11 Teachers Training Agency</td>
<td>£116</td>
</tr>
<tr>
<td>12 Science and Technology Facilities Council</td>
<td>£93</td>
</tr>
<tr>
<td>13 National Policing Improvement Agency</td>
<td>£86</td>
</tr>
<tr>
<td>14 Youth Justice Board for England and Wales</td>
<td>£74</td>
</tr>
<tr>
<td>15 Arts Council England</td>
<td>£66</td>
</tr>
</tbody>
</table>
These fifteen bodies together account for 83% of NDPB expenditure in London. However, expenditure does not necessarily equate directly to policy influence as some of the large spending bodies are driven by funding formulas determined outside of their own control, whereas some of the smaller spending bodies may have significant power over policy direction and delivery (a good example of this being the inspectorates, who have a relatively small operational spend but a large degree of influence.)
Some sense of the crowding of some types of spending bodes in London arises from a comparison of the numbers of bodies spending by the major COFOG classifications. For example:
- Education and Housing and Community Amenities, which, combined, account for 67% of NDPB expenditure in London have only 29 (out of 169) major spending bodies identified in London
- Economic Affairs has the largest number of spending bodies (58) but accounts for only 14% of total NDPB expenditure
- Recreation, Culture & Religion has the second highest proportion of bodies (35) but accounts for less than 1% of total NDPB expenditure in London.
<table border="1">
<thead>
<tr>
<th>UN COFOG</th>
<th>Expenditure (£m)</th>
<th>Spend Share</th>
<th>Bodies</th>
</tr>
</thead>
<tbody>
<tr><td>Economic affairs</td><td>£772</td><td>14%</td><td>58</td></tr><tr><td>Recreation, culture and religion</td><td>£36</td><td>1%</td><td>35</td></tr><tr><td>Education</td><td>£2,576</td><td>46%</td><td>23</td></tr><tr><td>Health</td><td>£276</td><td>5%</td><td>14</td></tr><tr><td>Public order and safety</td><td>£300</td><td>5%</td><td>14</td></tr></tbody></table>
² The 2008/09 financial year included activities of both the HCA and the former Housing Corporation
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PricewaterhouseCoopers LLP
<table>
<thead>
<tr>
<td>UN COFOG</td>
<td>Expenditure (£m)</td>
<td>Spend Share</td>
<td>Bodies</td>
</tr>
</thead>
<tbody>
<tr>
<td>Social protection</td>
<td>£354</td>
<td>6%</td>
<td>9</td>
</tr>
<tr>
<td>General public services</td>
<td>£53</td>
<td>1%</td>
<td>6</td>
</tr>
<tr>
<td>Housing and community amenities</td>
<td>£1,190</td>
<td>21%</td>
<td>6</td>
</tr>
<tr>
<td>Environmental protection</td>
<td>£80</td>
<td>1%</td>
<td>4</td>
</tr>
</tbody>
</table>
**Local expenditure**
The usual way to derive a picture of local expenditure is to interrogate the budget books of the relevant bodies. We did not do this here given the scale of such a task in the context of the size of this commission. Some of the local expenditure estimates are therefore from different sources and are not directly comparable.
London-based bodies spent £42.9bn on public services. About half of this expenditure was made by bodies operating at the pan-London level or as part of the National Health Service.
<img>Bar chart showing Local Expenditure for London (£m). The x-axis ranges from £0 to £16,000 in increments of £2,000. The y-axis lists categories: Health (E13,500), Social protection (£9,100), Education (£7,600), Economic affairs (£4,600), Public order and safety (£4,000), Housing and community amenities (£2,900), General public services (£990), Environmental protection (£870), Recreation, culture and religion (£9), Defence (£9). The bars represent each category's expenditure value.</img>
The COFOG analysis does not enable the net spending of local government to be identified with any accuracy. Separately, the Chartered Institute of Public Finance and Accountancy (CIPFA) collects details of local government expenditure annually and for 2008/09, the general fund service expenditure of London Boroughs combined was in the order of £15bn. This number excludes some important service areas such as money flowing through housing revenue accounts but includes others such as Housing Benefit expenditure.
London 'regional' bodies (Greater London Authority, London Development Agency, Metropolitan Police, London Fire Brigade and Transport for London) accounted for some £7.5bn expenditure in 2008/09. Of this, two-thirds was for the police and one-sixth for transport.
London local health bodies – both Primary Care Trusts and other NHS Trusts – spent some £15bn in 2008/09. While not directly accountable to elected local representatives, their boards are required to reflect the needs of local communities.
Health expenditure accounts for 31% of local expenditure mostly through NHS Trusts (both foundation trusts and PCTs). Local social protection expenditure accounts for 21% of local expenditure and is a combination of social services and some locally-controlled transfers such as housing benefit. Education is largely for primary and secondary education which is controlled at the borough level. Economic affairs include transportation which is a major share of the funding of Transport for London. Public order and safety is largely spent on the Metropolitan Police with the London Fire Brigade also included.
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PricewaterhouseCoopers LLP
# Managing chronic care
## Introduction
As average life expectancy extends, more and more people are affected by chronic conditions, both in the developing and developed regions of the world. In 2005, chronic conditions caused approximately 35 million deaths¹ worldwide and this number is expected to increase by almost a fifth in the next decade. When compared with the global pattern, the chronic disease impact upon populations in the western world is disproportionately borne by older people, rather than the economically active. This holds true both in England as a whole and in London in particular.
This topic was chosen as an area for deeper examination because:
- It represents a significant proportion of the total of £74bn of public expenditure each year and encompasses some of the biggest service providers in London
- A significant proportion of that public expenditure is borne by local government, but in a system that is characterised by considerable interdependence between providers
- The problem of chronic care is escalating significantly and, if not addressed more effectively, will present further challenges to London’s public services in the future.
## What is the problem and why is this a particular issue for London?
Chronic conditions, as defined by the Department of Health are ‘diseases which current medical interventions can only control not cure’. The life of a person with a chronic condition is forever altered – there is no return to normal.’ Some of the more common chronic conditions are diabetes mellitus; chronic obstructive pulmonary disease (COPD); asthma; arthritis; epilepsy and mental ill health.
In England, more than 15 million people have chronic conditions, with a quarter of these reporting two or more conditions² prevalence varies suggesting that there are a number of factors driving the variations, including age, lifestyle and so on (ibid). However, age is the most significant driver of chronic conditions in the UK (ibid).
<table>
<tr>
<td></td>
<td>Numbers affected</td>
</tr>
<tr>
<td>Coronary heart disease</td>
<td>1,899,000</td>
</tr>
<tr>
<td>Heart failure</td>
<td>420,000</td>
</tr>
<tr>
<td>Stroke and transient ischemic attack</td>
<td>863,000</td>
</tr>
<tr>
<td>Hypertension</td>
<td>6,706,000</td>
</tr>
<tr>
<td>Diabetes</td>
<td>1,962,000</td>
</tr>
</table>
______________________________________________________________________
¹ WHO: An estimate of the economic impact of chronic non communicable diseases in selected countries, Alcagunde, D and Stancicle A ² Raising the profile of long term conditions: A compendium of information, Department of Health 2004
\<page_number>13\</page_number> PricewaterhouseCoopers LLP
<table>
<tr>
<td></td>
<td>Numbers affected</td>
</tr>
<tr>
<td>Chronic obstructive pulmonary disease</td>
<td>766,000</td>
</tr>
<tr>
<td>Epilepsy</td>
<td>321,000</td>
</tr>
<tr>
<td>Cancer</td>
<td>489,000</td>
</tr>
<tr>
<td>Severe mental health conditions</td>
<td>380,000</td>
</tr>
<tr>
<td>Asthma</td>
<td>3,100,000</td>
</tr>
</table>
With declining birth rates and the increases in life expectancy that come from advances in medicine and medical technology, chronic conditions are more likely to affect the populations of Northern Europe. There are a significant number of people over the age of 40 who report having multiple long term chronic health conditions¹. The trends for an ageing population are likely to increase the pressures in terms of people with chronic conditions. It is estimated that there will be 18% more people aged 40 and over in England and 42% aged 65 and over². Based on these trends, the number of people in the national population with at least one chronic condition could rise to 18 million by 2025³. People who have chronic conditions are high users of social care and community services.
Although the demand for long term care is not synonymous with chronic care, the two are hard to separate: public expenditure on long term care is estimated to reach almost £16 billion and total long term care expenditure is projected to reach approximately 1.8% of gross domestic product by 2022⁴.
**The Government’s objectives in relation to chronic health conditions**
Joining up health and social care is on the national and local agenda. The Government is looking to achieve the following outcomes across health and social care:
- Better health and well-being for all – helping people to stay healthy and well, empowering people to live independently and tackle health inequalities
- Better care for all – the best possible health and social care, offering safe and effective services, when and where people need help, and empowering people to make choices
- Better value for all – delivering affordable, efficient and sustainable services, contributing to the wider economy and the nation
The following indicator has been set to measure improvements as part of the National Quality and Outcomes Framework (NHS 2008/09):
For people with chronic conditions, improving their satisfaction with the support they are given to be independent and in control of their condition and reducing the number of emergency bed days
**Chronic conditions in London**
There are at least 3.5 million Londoners with some degree of chronic condition¹⁰, (some of these will be mild or early stage – for example, musculo-skeletal problems) with 1.3 million registered NHS cases of
______________________________________________________________________
¹ 60% of UK adults report having at least one chronic condition (Department of Health 2004), and 26% report have three or more chronic conditions (British Household Panel 2001) ² ONS population projections 2006-2031 ³ Based on ONS projected population aged over 40 of 29.5 million and a 60% rate of chronic conditions among adults (DH 2004) ⁴ Long-term care expenditure for older people, projections to 2022 for Great Britain PSRRIU 2005 ⁵ See DH Our Health, Our Care, Our Say Jan 2006 or Shaping the Future of Care Together July 2009
\<page_number>14\</page_number> PricewaterhouseCoopers LLP the major chronic conditions. Approximately 900,000 people have more than three chronic conditions and more than half of GP visits in London: 65% of outpatient appointments; and 72% of all hospital bed days are associated with chronic conditions in some way.¹¹
People with chronic conditions are twice as likely to have mental health problems, three times as likely to suffer from depression and have an increased likelihood of suicide.¹² Chronic conditions place a significant limit on the potential for employment. Chronic conditions also affect both the nature and amount of work undertaken. Households that include someone with a chronic condition are more likely to have lower incomes. In 2007/08, the cost of DWP benefits payments in London directly associated with chronic conditions, (that is: Attendance Allowance; Carer's Allowance; Disability Living Allowance; incapacity Benefit/Severe Disablement Allowance) was £2.1bn being 14% of all benefit expenditure (DWP statistics service).
Our research suggests that expenditure on chronic care in London is at least £5bn pa (approximately 7% or more of total annual public expenditure in the capital), with primary care trusts spending at least £3bn per annum on chronic conditions across all care settings. We have estimated that social services expenditure in London related to chronic conditions and needs is at least £2bn pa as set out in the table (that is approximately 13% of the estimated £16bn total expenditure in 2008/09 by London Boroughs.) The category "other adult services" includes expenditure on substance misuse and vulnerable people.
**Estimate of social care costs of chronic conditions to London Boroughs**
(NHS Personal Social Services Expenditure and Unit Costs data set)
<table>
<thead>
<tr>
<th></th>
<th>Completed Assessments</th>
<th>Provision of residential care (people-years)</th>
<th>Net total expenditure (£m)</th>
</tr>
</thead>
<tbody>
<tr>
<td>Older people (65+)</td>
<td>53,550</td>
<td>19,437</td>
<td>1,105</td>
</tr>
<tr>
<td>Adults under 65 with Physical disability</td>
<td>12,560</td>
<td>1,409</td>
<td>261</td>
</tr>
<tr>
<td>Adults under 65 with learning disability</td>
<td>1,575</td>
<td>5,715</td>
<td>564</td>
</tr>
<tr>
<td>Adults under 65 with mental health needs</td>
<td>15,145</td>
<td>2,649</td>
<td>271</td>
</tr>
<tr>
<td>Asylum seekers</td>
<td></td>
<td></td>
<td>9</td>
</tr>
<tr>
<td>Other adult services</td>
<td>5,295</td>
<td></td>
<td>85</td>
</tr>
<tr>
<td>TOTAL</td>
<td></td>
<td></td>
<td>1,955</td>
</tr>
</tbody>
</table>
Thus, the burden of chronic disease in London is a serious one. It affects the quality of life of Londoners; causes premature death and disability and creates large and underappreciated economic effects on individuals, families, across communities and for London as a whole.
**The current system and its flaws**
There are many flaws in the current systems for treating chronic conditions which lead to increased costs and lower satisfaction. These can be summarised as follows:
**Organisation of the model of care**
Despite many attempts to re-orientate the service model, service provision in health has continued to focus on the acute hospital and the acute episode of care rather than the systematic prevention of those at risk from entering the acute system. To deliver more appropriate care to people with chronic conditions
______________________________________________________________________
¹¹ Extrapolated from DH UK figures 2004 ¹² Raising the profile of long term conditions: A compendium of information, Department of Health 2004
\<page_number>15\</page_number>
PricewaterhouseCoopers LLP will require a step change in approach to focus on prevention and timely intervention. The position in social care is a little different with more progressive local authorities making large strides towards earlier intervention and more self directed care; other councils still have some way to go on this.
Organisational boundaries cause fragmentation of services and support, with inherent delays and inefficiencies in service delivery. Better collaboration – even integration – has yielded some excellent results in individual localities, but, despite some first-rate local initiatives, the joint model of care in London requires a ‘step change’ in approach and delivery to avoid a system where the care is only offered to people with chronic conditions when their needs are most acute.
**Customer expectations**
The public, carers and service providers are not routinely involved in service design or configuration. Most people living with chronic conditions would like more say in what and how their care is provided and how services to support their independence and well-being are configured.
Many people who have long term conditions also want access to information about their conditions so that they are empowered to manage them better. The more likely they are to want to take care of their own health, the more likely they are to want to work and to feel more socially included.
**Financing the system**
Different political parties will postulate different spending positions, but the fiscal and economic outlook for spending on health and social care is poor in the short to medium term, whichever party forms the next government. Reduced spending will impact on individuals, families and communities and is likely to mean more means testing, co-funding and further reliance on the role of individuals, families and carers in dealing with complex health and social care issues.
Funding streams do not easily support the multi-agency working that can deliver the best possible outcomes for the public. Not only does this lead to conflicts in governance and duplication of effort, but can conflict with the objective of providing value for money. Thus it is difficult to determine whether initiatives are delivering good value for taxpayers and individuals as reporting is done by organisation (top down) rather than by individual, family or community (bottom up).
Individual budgets across health and social care are accepted as a positive initiative\\textsuperscript{3} but are not routinely used as a means to empower individuals, improve efficiency and gain better user satisfaction. Information is not easily shared between agencies and this is a significant barrier to adopting a citizen-centred approach to health and social care.
**Design principles for a future delivery model**
Research internationally and in the UK\\textsuperscript{4} has identified four requirements that underlie the prevention and alleviation of chronic conditions. These should influence any new model of care.
- **Self management of chronic conditions in the context of promoting healthy lifestyles** Investment in prevention and resources to encourage healthy lifestyles continues to be a challenge for the NHS and local authorities. Whilst the Comprehensive Area Assessment is driving closer collaboration, more work is required for these partnerships to mature.
- **Inequalities in health outcomes persist\\textsuperscript{5}** and the social determinants of health need to be addressed in a systematic manner.
- **Prevent unnecessary deaths and disabilities arising from chronic conditions**
\\textsuperscript{3} See SCIE Research Briefing 20: The implementation of individual budget schemes in adult social care \\textsuperscript{4} Improving Care for People with Long term conditions: HSMC University of Birmingham and NHS Institute for Innovation and Improvement \\textsuperscript{5} Post 2010 Strategic review of health inequalities – The Marmot Review DH 2009
\<page_number>16\</page_number> PricewaterhouseCoopers LLP Personalised care planning and the provision of useful and relevant guidance and information are essential for self care and management as this will prevent future complications.
- **Treat chronic conditions effectively and in the most appropriate care setting** Individual case management and a whole system approach with citizens at the centre can ensure that the right care is delivered in the right place at the right time. Effective treatment is often most early treatment, with the appropriate supporting infrastructure, for example, access to diagnostics.
- **Provide appropriate and tailored care and support for those living with long term conditions**
Self care and self management should be the goal of all people living with chronic conditions. Service providers should be encouraged to support individuals to achieve this, no matter how difficult the organisational boundaries.
**A proposed new system and why this is better**
Our recent work with national and international social care organisations has emphasised the importance of early intervention and self directed care. We explore in this section whether such learning specifically applied to people with chronic conditions could offer a significant improvement on current care pathways, especially in the provision of appropriate healthcare.
The new model is predicated on a number of reforms to the current system including: a shift in resource commitment on the part of the NHS to earlier intervention across the system; a greater emphasis on self-directed care; a common service pathway and a common system of case management.
The graphic overlay sets out three health and social care pathways for people with chronic conditions. The first box “Current health and social care model” outlines the way in which most people access health and/or social care at present – often too late, and under the guidance of professional social workers. While there is user involvement, too much of the care on offer comes in predetermined packages.
The second box “Emerging model of social care” represents the way in which a number of leading local authorities (in London and elsewhere) are developing the Adult social care agenda: and is in tune with Shaping the Future of Care Together (the adult social care green paper 2009 – DH). It shows a greater level of self determination – some “de-professionalization” of early care interventions and concentrates the self-directed care at prevention and/or re-enablement.
The third box shows the most recent thinking and takes the principles of self-directed health and social care to a pathway for chronic care by describing an emerging model of integrated health and social care. This model:
- Places the citizen at the heart of service design and the planning of appropriate care and medical intervention
- Articulates the need for investment in prevention rather than cost at the point of acuity or service contact but does not quantify it in economic terms
- Promotes early re-ablement support as being key to ensuring care is provided in the right setting by facilitating independence.
- Recognises that service users may require services and care packages that are bespoke to their particular needs.
There are many innovative aspects to the new care pathway model but at its core is the recognition that a greater level of self directed care should be a genuine three-way endeavour between the citizen, local government and the NHS. The key to putting such a change in place would be to commit significant NHS resource to help fund the preventative care package. To put this in a way that ordinary service users might understand, it needs the NHS to spend health money on you when you’re not acutely ill.
\<page_number>17\</page_number> PricewaterhouseCoopers LLP Crystallising and bringing forward acute health spending is not the only feature of the model. A greater level of self-direction in care is also judged to be a social and economic good of itself; and the model works best when the care assessment process is a common one between health and social care. That is, a single caseworker helping citizens to access what to date has been care in two different systems.
A proposed new model of health care for people with chronic conditions set alongside old and new models of social care
<table>
<tr>
<td>Current model of social care</td>
<td>Threshold identification (initial, substantive, high moderate <100% financial support)</td>
<td>Social worker agrees care package with client from portfolio of existing services.</td>
<td>Package review in 3 months (revised 12 months)</td>
</tr>
<tr>
<td>Referral<br>- Self<br>- Social pay<br>- Hospital discharge</td>
<td>Eligibility is validated by social worker</td>
<td>Defined period of entitlement support</td>
<td>Individual budget<br>incl. social care<br>healthcare benefits and private services</td>
</tr>
<tr>
<td>Emerging model of social care</td>
<td>Determined by social worker</td>
<td>Designated to move within 6 months away from home care, or stay at home for longer term care, or leave home for short-term learning about home care, home adaptations, end-of-life</td>
<td>Micro-commissioning of services by individual. To include traditional and minor traditional services.</td>
</tr>
<tr>
<td>System based on self assessment and early entitlement. Incorporative personalisation and individual budgets. All citizens able to access services through user-prioritised Pool. Risk-based review.</td>
<td>System based on self assessment and early entitlement. Incorporative personalisation and individual budgets. All citizens able to access services through user-prioritised Pool. Risk-based review.</td>
<td>Enrolment support package</td>
<td>Resource allocation<br>incl. social care budget, healthcare benefits, health and private services</td>
</tr>
<tr>
<td>Trajectory scale management in prevention & treatment</td>
<td>Self-care common assessment package<br>By self, GP, nurse, or discipinary case manager</td>
<td>No cost to client/patient<br>Health and social care joint funding for entitlement services</td>
<td>Micro-commissioning of services by individual.</td>
</tr>
<tr>
<td>Cohort one: are the 90% of patients who generally self-manage and require relatively little extra supervision and care management, though they have annual 'upkeep' cost for drugs and extra GPs visits</td>
<td>Cohort two: 2.5% of patients do not self-manage and require emergency admissions</td>
<td>Tiered time in programme of care</td>
<td>Risk based review – are services still required? Prediction & prevention</td>
</tr>
</table>
Applying this new model to the treatment of people with diabetes
Type two diabetes is one of the most intractable chronic conditions with an increasing prevalence due both to lifestyle factors and an ageing population. According to the London Health Observatory, there are around 320,000 registered diabetics in London (reference year 2005/06). However, early intervention in lifestyle behaviours and good care and management of the condition can significantly improve people's lives. It is a formal objective of the NHS in London to work to prevent people with diabetes presenting in an acute setting.18
We therefore consider the treatment of people with diabetes to be a good exemplar to use in order to explore the way in which a new service model consistent with the principles of the care model described above might work. Particularly whether it could change outcomes, deliver public satisfaction and secure better value for money services.
There is relatively little information available on the detailed costs of care for Londoners with diabetes. So what follows is a set of broad assumptions that we made for the purposes of modelling new outcomes. While the cohorts we describe below probably mirror the reality of life for people with diabetes, we do not claim an absolute triangulation with objective London-wide information on costs of care or care outcomes. For the purposes of testing a new model of care, we made assumptions about the characteristics of the population of Londoners with diabetes and allocated them into four nonional cohorts:
Cohort one: are the 90% of patients who generally self-manage and require relatively little extra supervision and care management, though they have annual 'upkeep' cost for drugs and extra GPs visits
Cohort two: 2.5% of patients do not self-manage and require emergency admissions
18 NHS Healthcare for London Programme
\<page_number>18\</page_number> PricewaterhouseCoopers LLP **Cohort three:** 5% of patients need additional assistance to in order self-manage, but who would like to manage their own conditions more effectively
**Cohort four:** 2.5% of patients have co-morbidities with conditions such as mental health disorders.
**Indicative costs allocated to each cohort**
To model new outcomes, we derived assumptions about the direct current costs of care. Again, these assumptions are based on real life experiences, but are necessarily indicative at this stage. For cohort one, we have allocated drugs and GPs' costs; for the remaining cohorts, we have allocated different mixes of emergency admissions (between two and four per year), home care services (three times per week), meals on wheels (five times per week) and funded nursing care (three times per week). Aggregated up, the costs of these interventions are in the table below.
Based on these assumptions, the annual costs of managing diabetes in London would represent approximately 11% of the annual chronic care expenditure. This is approximately £590m of the £5bn annual expenditure that we identified earlier. Significantly, these costs are for the relevant health and social care services: we have made no wider assumptions about the cost benefit to London’s economy or community of better diabetes care. The direct costs are summarised in the table below.
<table>
<thead>
<tr>
<th></th>
<th>Patients</th>
<th>NHS Costs (£m)</th>
<th>Local Authority Costs (£m)</th>
<th>Total Costs (£m)</th>
</tr>
</thead>
<tbody>
<tr>
<td>Cohort 1</td>
<td>256,482</td>
<td>18.2</td>
<td>0</td>
<td>18.2</td>
</tr>
<tr>
<td>Cohort 1</td>
<td>8,014</td>
<td>63.9</td>
<td>90.9</td>
<td>154.8</td>
</tr>
<tr>
<td>Cohort 1</td>
<td>16,029</td>
<td>95.7</td>
<td>181.9</td>
<td>277.6</td>
</tr>
<tr>
<td>Cohort 1</td>
<td>8,014</td>
<td>47.9</td>
<td>90.9</td>
<td>138.8</td>
</tr>
<tr>
<td>TOTAL</td>
<td>320,577</td>
<td>225.7</td>
<td>363.8</td>
<td>589.4</td>
</tr>
</tbody>
</table>
**Managing chronic care – the potential savings around diabetes**
We then modelled some interventions which reduce the assumed needs of the cohorts for health and care based on the principles of the new care pathway above. For example, we assume that:
- With earlier intervention and better case management, half of the cohort two patients have only two emergency admissions per year and after six months, their home care packages reduce to once a week
- Half the cohort four patients have no emergency admissions and gradually reduce their needs for home care services
- Half of the cohort three patients are helped to realise their ambition to manage their condition more effectively.
The new costs of provision and savings associated with the new model are in the table below.
<table>
<thead>
<tr>
<th></th>
<th>NHS Costs (£m)</th>
<th>Local Authority Costs (£m)</th>
<th>Total Costs (£m)</th>
</tr>
</thead>
<tbody>
<tr>
<td>New costs</td>
<td>203.9</td>
<td>281.6</td>
<td>485.6</td>
</tr>
<tr>
<td>Savings</td>
<td>21.7</td>
<td>82.2</td>
<td>103.9</td>
</tr>
</tbody>
</table>
We suggest savings of more than £100mn are achievable on the modelled expenditure for diabetes care; a reduction of almost 20% of the total assumed cost. And as a reminder, neither the costs nor the savings encompass wider benefits of better care. These savings accrue principally as a consequence of people being treated in the most appropriate care setting, and more particularly, of being treated before conditions become so acute that emergency health intervention is needed.
\<page_number>19\</page_number>
PricewaterhouseCoopers LLP Can we extrapolate these benefits across other chronic conditions?
The primary purpose of this document is to make the case for change – not to work up a finely tuned solution. But organisations around London – for example, NHS Barnet on vascular disease; Lewisham Council and NHS Lewisham on whole systems commissioning; and Well London on healthy eating and living – have all made progress in this field by adopting a model loosely based on:
- Emphasising prevention or early intervention
- Jointly building the systems around the customer/patient
- Boosting the level of self-direction in care.
Postulating the wider potential benefits of change is complicated. The American Diabetes Association estimates that around 10% of the USA’s wider healthcare costs are attributable to diabetes. In this paper, we have suggested that this cost in London is around £590m - which is just over 11% of the £5bn we identified as the cost of chronic conditions to health and local government as a whole. So these estimates of the proportion of expenditure are broadly in line. We suggest savings of more than £100mn on the assumed direct expenditure on diabetes: a saving of just under 18%.
Our examination of the benefits of the new model of care for the treatment of diabetes is also relevant to the treatment of other chronic health conditions. It is therefore reasonable to assume that a similar level of savings could be secured through reform to the treatment of these other conditions. If comparable reductions in expenditure could be made by applying similar models of care across all chronic conditions, we estimate that direct savings of £800mn could accrue on the annual direct cost of £5bn. For local government, our assumptions at the broadest level would suggest that savings in the region of 25% or more may be achievable on the costs of chronic care, but these are unlocked by a relative shift in NHS spending towards preventative care/earlier intervention.
While we acknowledge that our suggestions need more work, we would also argue that we have not yet computed any wider savings to the economy and community of London from improving the treatment and care of people with chronic conditions.
**Conclusion**
We believe that a package of reform based primarily on policy realignment around earlier intervention could enhance outcomes for Londoners and result in savings of about £800mn out of the total £5bn currently spent on treating and caring for people with chronic health conditions. This package of reform is not dependent upon structural reorganisation within the public’s services. Rather, it requires a redirection of resource within the NHS from acute settings to focus more on prevention; a move towards self-direction and self-service by users; and more effective case management. This presents a set of challenges both to health and social care professionals and organisations, but with a significant potential prize on offer.
\<page_number>20\</page_number> PricewaterhouseCoopers LLP A whole systems approach to young people exhibiting anti-social behaviour
Introduction Compared to other areas of criminal behaviour, anti-social behaviour (ASB) by young people is not a particularly well researched area. It has only been a focus of Government action in the past decade or so and there is limited statistical information available about it on a national or regional basis. Data on volume and impact of the problem are not collected through official channels because most forms of ASB are not classified as crimes. The evidence base is focused on public perceptions rather than empirical research. Data on costs (to the public sector and to society) are also highly patchy and at a high level.
This area was chosen for deeper examination because, although the direct costs associated with the issue are relatively small when compared to the two other themes we have studied, it is characterised by complexity in administration and the involvement of a large number of public sector bodies. It is also an area where, as this section highlights, significant ‘lifetime’ costs associated with truancy and broader criminality are incurred by the public sector as a result of a failure to intervene sooner and more effectively.
Given the nature of the data, it is not possible to present with accuracy detailed, costed recommendations for the future. Rather, we suggest a number of areas where we believe improvements to the current, highly fragmented delivery model might be made, which London Councils may wish to explore further with key partners in this sector. We believe these improvements present opportunities for efficiency gains and have the potential for producing better outcomes for Londoners, with significant financial benefits in the longer term as a consequence.
What is the problem and why is it a particular issue for London?
Definitions Anti-social behaviour (ASB) is defined by the Home Office as “any aggressive, intimidating or destructive activity that damages or destroys another person’s quality of life”. By definition, ASB is not criminal behaviour (ASB interventions such as ASBOs are civil not criminal penalties), but can have a similarly adverse impact on the communities and individuals affected by it.
The Home Office has developed a typology of anti-social behaviour17 which highlights the following:
- Drug/substance misuse and dealing
- Street drinking
- Begging
- Prostitution
- Kerb crawling
- Sexual acts
- Abandoned cars
- Noise
______________________________________________________________________
17 Defining and measuring anti-social behaviour: Home Office 2004
\<page_number>21\</page_number> PricewaterhouseCoopers LLP
- Rowdy behaviour
- Hoax calls
- Intimidation/harassment
- Vehicle-related nuisance/inappropriate vehicle use
- Nuisance behaviour
- Animal-related problems
- Criminal damage/vandalism
- Litter/rubbish
**The size of the problem – numbers and cost to public services**
The focus of this analysis is upon youth-associated ASB but it is important to note that young people do not have the monopoly on ASB. Much is committed by adults, concerns environmental problems, or is related to general rudeness by people of all ages. But it is not unreasonable to say that a significant proportion of the responsibility for perceived ASB is placed at the door of young people. As the chart below from the current British Crime Survey shows, most people in the UK think that ‘teenagers hanging around’ is the number one ASB issue for them.
<img>
A line graph showing perceptions of anti-social behaviour by strand from 2001/02 to 2008/08.
The y-axis ranges from 0 to 30.
The x-axis shows years: 2001/02, 2002/03, 2003/04, 2004/05, 2005/06, 2006/07, 2007/08, 2008/09.
Legend:
- Teenagers hanging around on the streets
- Hubban or litter lying around
- People using or dealing drugs
- Vandals, graffiti and other deliberate damage to property
- People being drunk or rowdy in public places
- Noisy neighbours or loud parties
- Abandoned or burnt-out cars
</img>
Source: British Crime Survey 2008/09
Estimating the number of young people exhibiting ASB in London is not straightforward. It would take a great deal of new, primary research to do so with any notable degree of precision. However, we have produced some indicative figures for the purposes of this project, based on extrapolations of national data sets.
2006 Home Office research suggests that every year, between 200,000 and 300,000 young people across London commit criminal and/or anti social behaviour within their communities. Most of these actions are relatively small scale and involve a limited number of incidents; they will be towards the ASB end of the continuum, rather than the criminal end. We judge that an extrapolation from national evidence on anti-social behaviour allows us to estimate that approximately 180,000 London young people commit anti-social behaviour every year.
Proportionally, London has fewer youth offenders than the North West, South East, West Midlands and Yorkshire regions based on official sanctions, but given the city’s size and transport links there is a perception that ASB and youth crime can occur anywhere in the city. The table below [1] shows that the overall perception of ASB is no higher in London than it is in Birmingham or Manchester. However, it is
[1] Home Office Anti-Social Behaviour Action website
\<page_number>22\</page_number> PricewaterhouseCoopers LLP noticeably higher than the London average in East Inner London and the outer areas surrounding it and lower in the more secure areas in the West and the South.
| West Inner London | 20.8% | |---|---| | East Inner London | 33.8% | | East and North East Outer London | 28.9% | | South Outer London | 20.9% | | West and North West Outer London | 24.4% | | London | 26.7% | | Greater Manchester | 27.0% | | West Midlands | 27.4% |
Home Office research into the impact of anti-social behaviour highlights the degree of activity and its costs to the public service. Based on an analysis of a single day's activities across England, the research calculates that ASB costs the public sector £13.5mn per day, or £3.4bn each year. The largest areas of costs are criminal damage/vandalism, intimidation/harassment, litter/rubbish, nuisance behaviour and vehicle-related nuisance.
<table>
<thead>
<tr>
<th></th>
<th>Costs</th>
<th>Est Cost per Day</th>
<th>Est Annual Costs</th>
</tr>
</thead>
<tbody>
<tr>
<td>LITTER/RUBISH</td>
<td>10,686</td>
<td>£1,866,000</td>
<td>£466m</td>
</tr>
<tr>
<td>CRIIMINAL DAMAGE/VANDALISM</td>
<td>7,855</td>
<td>£2,667,000</td>
<td>£867m</td>
</tr>
<tr>
<td>VEHICLE RELATED NUISANCE</td>
<td>7,782</td>
<td>£1,361,000</td>
<td>£340m</td>
</tr>
<tr>
<td>NUISANCE BEHAVIOUR</td>
<td>7,660</td>
<td>£1,425,000</td>
<td>£355m</td>
</tr>
<tr>
<td>INTimidation/HARASSMENT</td>
<td>5,415</td>
<td>£1,361,000</td>
<td>£496m</td>
</tr>
<tr>
<td>KIDNEYS</td>
<td>5,374</td>
<td>$954,000</td>
<td>$245m</td>
</tr>
<tr>
<td>RUGBY BEHAVIOUR</td>
<td>5,389</td>
<td>$958,000</td>
<td>$249m</td>
</tr>
<tr>
<td>A-BANDED VEHICLES</td>
<td>4,994</td>
<td>$958,000</td>
<td>$249m</td>
</tr>
<tr>
<td>STREET DRINKING AND BEGGING</td>
<td>3,239</td>
<td>$504,000</td>
<td>$126m</td>
</tr>
<tr>
<td>DRUG/SUBSTANCE MISUSE AND DRUG DEALING</td>
<td>2,920</td>
<td>$327,000</td>
<td>$130m</td>
</tr>
<tr>
<td>ANIMAL RELATED PROBLEMS</td>
<td>2,546</td>
<td>$498,000</td>
<td>$114m</td>
</tr>
<tr>
<td>HOAX CALLS</td>
<td>1,296</td>
<td>$188,000</td>
<td>$49m</td>
</tr>
<tr>
<td>PROSTITUTION, KERB-CRAWLING, SEXUAL ACTS</td>
<td>1,011</td>
<td>$167,000</td>
<td>$46m</td>
</tr>
<tr><td>TOTAL:</td><td>86,197</td><td>$13,506,000</td><td>$3.375bn</td></tr></tbody></table>
We have estimated that the proportion of this cost falling to London’s public services in respect of ASB committed by young people is approximately £500mn per year. Around two-thirds of this cost falls upon local authorities and the remainder to the Metropolitan Police. Much of the expenditure is remedial, for example, dealing with the consequences of evidenced ASB.
These are the direct costs of ASB to the public purse in London. Including the direct costs to private individuals, companies and organisations would increase this significantly. The additional emotional costs of lives restricted by fear and worry would be even higher. This is because ASB more broadly impacts on the living standards and costs of London residents, workers and visitors. It breaks down the social ties and trust which underpin sustainable and prospering communities. Faced with ASB, people feel less comfortable undertaking their day-to-day activities; feel the need to spend money on protecting themselves and their property; and worry about the impact on friends and families.
We have not focused on these broader costs to non-public sector bodies and the immediate wider social impact of ASB in this examination. Instead, we have considered the impact to the public purse of a
\<page_number>23\</page_number>
Economic and social costs of crime in London – Based on data from Home Office (2005). The economic and social costs of crime against individuals and households and 2008/09 crime data from the Home Office RDS website
<img>A table showing costs associated with various types of anti-social behaviour.</img> failure to address ASB effectively. The main result of this failure is that those who show this behaviour during their youth then descend into more serious criminal activity over a prolonged period of time and this has associated (and escalating) costs. We have also examined the potential benefits to other areas of public expenditure in the short term in more successfully addressing ASB by means of earlier interventions.
**ASB and youth offending – the wider costs**
The dividing line between ASB and youth offending is not precisely defined, but there is a substantial body of evidence that demonstrates the links.20 Most young people exhibiting ASB do so infrequently and without progressing into recognised criminal activity or becoming subject to the criminal justice system. At the same time, it is reasonable to assume that a clear majority of recognised youth offenders have, at some point, exhibited ASB. Therefore for the purposes of this examination, the youth offending population has been regarded as a subset of the broader population of 180,000 young Londoners exhibiting ASB.
The transition to youth offending happens when young people move on to more serious offences involving violence and property crimes. The annual reoffending rate of juveniles is 40% on average, but over 80% for those who have committed more than 10 crimes; who also commit more serious and costly crimes. Therefore, “ripping ASB in the bud” can have a big pay back.
We have focused on the activity of Youth Offending Teams (YOTs) across the capital as a means of assessing the broader costs associated with youth offending. YOTs are designed to bring together the services of police, health, local authorities and others to support their work in reducing youth re-offending and escalation of criminal careers. Currently, some 15,000 young Londoners are on the books of YOTs – in short, approximately 8% of the current population of young people exhibiting ASB can also be considered to be young offenders.
The budgets of YOTs and the cost of youth custody are a direct cost associated with the management of this population of young offenders. The VJB spends £74mn in London on both custody and YOTS. In addition, there are other costs associated with the operation of YOTS and the management of the court service. We estimate that total annual expenditure on dealing with youth offending in the capital is in the order of £150mn.
In total, therefore, our examination of youth ASB is concerned with direct public sector costs annually of approximately £650mn. This is made up of the £500mn of direct costs we estimated from the national costs and some £150mn of VJB, court and others costs.
**Longer term costs**
Our exploration of this theme has also concentrated on other costs that are, in part, attributable to ASB amongst young people. Specifically, we have looked at the links between ASB and truancy, and the impact of ASB on future levels of criminality and the criminal justice system. Our reason for examining these areas is that more effective action in tackling ASB earlier should help to avoid these future, higher levels of expenditure.
There is a substantial body of evidence demonstrating the links between school truancy and youth ASB. Some 11,400 young Londoners are persistent truants with an estimated lifetime cost of £500mn in total. Interestingly, the research cited21 notes that the impacts on long-term prospects from regular truancy can exceed that for young people who are excluded, as the persistent truants do not receive support to make up the ground that they have lost, whereas excluded young people often get specialised, focused educational provision.
The great majority of young people grow out of ASB, but for a minority it can be the precursor to more serious problems. There is strong evidence linking ASB – especially early on-set (that is children younger than ten) – to future more serious offending which can lead to greater damage to both people
______________________________________________________________________
20 Report of Policy Action Team on ASB – Social Exclusion Unit 21 New Philanthropy Capital (2007) ‘Misspent youth: the costs of truancy and exclusion’
\<page_number>24\</page_number> PricewaterhouseCoopers LLP and property and to further public sector cost. Descent into extensive offending can reduce the life-long opportunities for the young people involved in crime: they can lose out on educational opportunities; find it harder to find employment; damage their personal and familial relationships; and risk spending time in prison.
The more significant public cost therefore arises from the failure of public services to prevent youth ASB from developing into more serious offending. Based on separate research that we have undertaken, we believe that the costs of associated with a ‘life time’ of crime would on average easily run into many hundreds of thousands of pounds per individual.
Unpublished PwC research for the Ministry of Justice suggests that a very large majority of male criminals now in custody started offending at a young age. There are currently around 18,000 adult Londoners in prison and the costs associated with this level of imprisonment amount to approximately £500mn per year. This number highlights the inability of the present systems dealing with ASB and youth offending to prevent London’s youth from progressing to more serious criminal activity.
It is apparent therefore that tackling ASB amongst young people more effectively should lead to significant reductions in the £500mn lifetime costs associated with truancy and the £900mn annual costs associated with the management of London’s imprisoned offenders.
**The current system and its flaws**
The current systems for dealing with ASB and its consequences are complex; as are those for preventing these activities from escalating to more serious criminal activity.
There are multiple, overlapping providers and commissioners of services to address ASB. The activities they carry out fall uncomfortably along the line between services that are under the jurisdiction of the police – with a remit to ensure public safety and to tackle crime – and under the control of local authorities who have a remit to ensure the livability of their areas and community cohesion. National agencies such as the Community Safety Board may play an important role in coordinating across YOTs as well as purchasing places in secure units for the most serious child offenders. A lack of clear coordination at the local level leads to patchy provision depending on the priorities of assorted national and local bodies. These objectives can often clash, especially where there are very specific targets that the various bodies are looking to meet. A target to increase the number of incidents which are pursued by the police may well run contrary to a local authority’s desire to limit the number of local young people who are being criminalised at an early age.
The diagram below shows the range of agencies involved in service provision for this group, from preventative work with families to rehabilitation work with older offenders who have entered the adult justice system.
\<page_number>25\</page_number> PricewaterhouseCoopers LLP <img>A diagram showing different interventions for young people at risk of ASB and youth offending. The interventions are grouped into three main categories: Prevent, Reform and Probation. Under each category, there are subcategories. For example, under 'Prevent', there are Surestart, Early years & childcare, Parenting advisors, Mainstream education, Youth service, Neighbourhood policing, Neighbourhood wardens, Housing associations and Local government regulatory services. Under 'Reform', there are Family Intervention Projects, Pupil Referral Units, Anti-Truancy work, Youth Offending Teams and Youth custody. Under 'Probation', there is Prison. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Youth custody'. Another line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Prison'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Surestart'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Early years & childcare'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Parenting advisors'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Mainstream education'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Youth service'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Neighbourhood policing'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Neighbourhood wardens'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Housing associations'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Local government regulatory services'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Family Intervention Projects'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Pupil Referral Units'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Anti-Truancy work'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Youth custody'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Prison'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Probation'. A line with an arrow pointing upwards connects 'Youth Offending Teams' to 'Reform'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Old'. A line with an arrow pointing downwards connects 'Youth Offending Teams' to 'Young'. A label "Draft working paper" is placed on the right side of the diagram. A label "Rising cost to taxpayers" is placed on the right side of the diagram.</img>
Under the current arrangements, there are essentially two types of intervention which are undertaken:
- **Personalised interventions** which focus on specific individuals, families or specific small groups of individuals. These can have a significant impact but are costly as resources can only be focussed on a relatively small number of people at a time. Therefore, the interventions are often focussed on those who already have a significant history of ASB and offending. While these people are more likely to commit greater numbers of future crimes, personalised interventions can do little to prevent people from entering a criminal career. Rather, they minimise the impact once one has begun;
- **Social interventions** which are applied to entire groups or areas: for example, they may involve working with local residents or students in specific schools. Such interventions can lower the overall impact of ASB and youth offending, but it is harder to measure a specific impact from them as the individuals involved are deterred from committing crimes in the first place.
In addition to ASB itself, addressing the wider fall out from truancy and school exclusion is not widely dealt with in a coordinated manner across education, criminal justice and social services, despite some specific individual projects that address the issue.
**A proposed new system and why this is better**
There is certainly greater scope for cooperation across the public sector in providing services that contribute to the prevention of ASB and youth offending by working with young people at risk – and their communities – and to reducing re-offending by working with young offenders. The national policy debate is moving in the direction of incentivising locally-led preventative action with young offenders. This proposition is a key part of the Ministry of Justice’s (MoJ) Transforming Justice programme. Local authorities need to be ready to offer help in those areas where they are best able to support other public sector activities, but also need to ensure that the activities of other public bodies support the work of local authorities.
As we have noted earlier, London’s local authorities end up picking up many of the direct costs and an even greater proportion of the indirect costs of this social problem. At the same time they are the democratic bodies closest to their communities and with the best community knowledge. We therefore propose that councils should have a much stronger role as a unifying organisational link between the
\<page_number>26\</page_number> PricewaterhouseCoopers LLP other bodies at work in this system and that they be strongly incentivised to intervene much earlier in the cycle of a young person’s criminality.
The diagram below highlights the areas where we believe there is a strong case for amending the system.
<img>
A flowchart showing the proposed new model for tackling ASB.
</img>
Locally-led intensive support for parents and young children. Early identification of problem families by CDRP/policie intelligence
Early years & childcare
Parenting advisors
Mainstream education
Surstart
Youth service
Youth offending teams
Neighbourhood wardens
Reintegration of ex-offenders into communities (as the Tower Hamlets model)
Housing associations
Local government regulatory services
More Borough influence over key decisions about children at risk of ASB exclusions
Reform
Local authority leadership of existing youth ASB agencies – amplification of funding, audit, governance
Probation
Youth custody
Prison
Young
Old
This proposed new model has the following key features:
**Locally-led intensive support.** Much of the evidence and cost analyses point towards the benefits of earlier interventions to prevent anti-social and criminal behaviour. Local authorities have many of the required tools and information to be in the lead for early interventions but will need to work with other local bodies, such as the health services and schools, to identify and work with families and individuals at risk. This may require co-operation at a pan-London level to share best practice and tackle common issues such as data sharing.
**Aligning the evidence and resources available can enable an appropriate intervention at a time when it is more appropriate and when families are vulnerable, such as when an older sibling has got into trouble with the police and may be about to serve time in prison.**
**Children at risk.** Local authorities need to strengthen their work to identify children showing early signs of ASB and criminal behaviour and ensure that interventions are being joined-up across relevant public bodies. Persistent truancy and the development of behavioural problems and examples of these signs. Steps can then be taken to provide the appropriate support to ensure that their underlying issues are addressed and that the young person does not start to offend and further damage their future potential.
**Control over youth ASB agencies.** We suggest that local authorities should take control of YOTs and ensure that they are fully integrated with the local provision for young people, including education and alcohol/drug treatment teams. Central bodies such as YJB, Home Office and DCFS could give local authorities greater latitude to respond to local issues by providing a series of funding pots and match funding which allow authorities greater flexibility to match resources to the needs and objectives that reflect local circumstances and resonate most with local communities.
\<page_number>27\</page_number> PricewaterhouseCoopers LLP **Offender re-integration.** Local authorities can provide an important service to prevent re-offending by older offenders – including those coming back from youth offending sentences – by ensuring that there is a re-integration service available for those that have been serving time in prison. Most offenders will receive minimal re-location support and limited probation time as they are not judged to be at high risk. However, we believe that local authorities should take a lead in providing this service for individuals in housing and employment. Working with the prison service and Youth Justice Board, we believe local authorities should take a lead to ensure that these individuals are met by a support worker and helped to obtain the housing, health, educational and other support they need to allow them the chance to become productive citizens. This would have a beneficial impact for the community both in terms of reducing the individual’s likelihood to re-offend (if they do re-offend, it is likely to occur near to where they live) but also by ensuring that the young people and others in their family and community networks are given the right signals about the ability of people to pull away from a criminal career.
**The benefits and costs of a reform package**
This reform proposition focuses on London Boroughs playing a new, or more developed, role in respect of young people exhibiting ASB in their local areas. It suggests that local authorities play a coordinating, end-to-end role, interjecting at key points in the life of young people to help prevent them from developing from ASB to more serious offending behaviour. The focus on prevention will have long term benefits for the public purse by reducing the need for expensive spending on criminal justice interventions. There are numerous examples of local authorities playing this kind of role (Tower Hamlets and Lambeth for example in respect of offender reintegration), but they suffer from short term funding and unclear governance arrangements.
The Government has set itself a target of reducing re-offending (both adult and youth) by 10% over the current spending review period. We believe our package of proposed reforms will help significantly towards the achievement of that target in the future. We further believe that our proposals could reduce youth ASB by a similar amount.
On the assumption that an average criminal “career” spans about ten years, the application of these reforms could therefore also result in reduced direct expenditure associated with youth ASB and offending of approximately £65m of the estimated £550m annual cost. The majority of the savings would flow from the benefits of earlier intervention that would reduce the immediate incidence of ASB and the consequent need for police intervention. The remaining savings would be spread across all categories total to be secured in the administration of the system through the greater clarity and efficiency in the flow and administration of funds, and in the activities of the various bodies. The new model depends on a ‘justice reinvestment’ proposition, that opens up a pool of funding for local authorities and their partners to invest in preventative work on the basis that this will reduce overall spending on palliative interventions across a number of financial years.
We suggest that a ‘kick start’ to a more flexible form of funding that emphasises social investment could be delivered by decentralising a large part of the YJB, DCFS, OJIR and Home Office funding for YOTs to local authorities, removing the costs of multiple administrative functions at the centre. This would be in the region £20m per year.
Changing the funding regime in the current climate will be difficult, but it this sort of ‘justice reinvestment’ idea has been discussed by academics and lobby groups in the sector22 and is starting to gain traction with Government. Justice Reinvestment makes the case for reallocating funding for expensive correctional services interventions (it costs £250k per year to keep a young person in a secure children’s home) to preventative services over a reasonable time period (the three years of a spending review).
It would therefore be a propitious time for London Councils to engage in this debate because it features strongly in two major reform programmes:
- The Transforming Justice programme, being run by the Ministry of Justice which includes a programme to ‘invest in prevention to reduce youth crime’, including by exploring better ways of ‘ incentivising’ local authorities to focus on this area; and
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22 Reinventing Justice, Esmere Fairburn Foundation 2003
- The review of the Youth Justice Board which includes exploration of the feasibility of devolving budgets for custodial services to local government.
Both projects are at the stage of developing strategic business cases which may well help London Councils develop and inform new thinking in this area by providing a local perspective on the topic.
**Conclusion**
There is currently an estimated £650mn spent annually by London public services on dealing with ASB and consequential youth offending. We estimate that our proposed reforms, focused on earlier intervention, simpler administration and an enhanced role for local authorities to “fill the gaps” in current arrangements should reduce overall costs by as much as 10%. They can also deliver better outcomes in the form of reduced occurrence of ASB and lower reoffending rates. This will require some significant investment on the part of London’s public services.
The benefits, however, go much broader than the direct costs highlighted above. By reducing ASB and youth offending, London’s public services will also be tackling the costs associated with high levels of truancy (£500mn lifetime costs) and with early offenders descending into a lifetime of crime (£900mn per annum on Londoners in prison). These are important objectives to pursue.
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# Tackling obstacles to employment
## Introduction
London is paradoxically both the engine room of the United Kingdom economy and one of the areas of the country most affected by worklessness. There are around 1.6mm workless Londoners, a figure which not only reflects the recent economic downturn, but also illustrates a longer term challenge that has not been addressed in the period between 1997 and 2007 when the economy was growing strongly.
This service theme has its own distinguishing characteristics and was chosen for deeper analysis because:
- It is an area with a relatively large commitment of direct public expenditure covering a range of COFOG headings
- Many national, NDPB and local agencies are involved as providers and commissioners
- At face value, it has the potential to facilitate wider benefits beyond savings in expenditure – for example, increasing taxation revenues, or even the social benefits inherent in moving people into employment.
## What is the problem and why is this a particular issue for London?
London’s economic activity rate is 75.8% compared to an England average of 79.5%, and its unemployment rate is 8.9% compared to 7.9% for England. The economically active gap between London and the English average therefore represents 189,000 additional individuals who are not in work or who are looking for work in London. London’s unemployment gap – the difference between London’s unemployment rate and the English unemployment rate – equates to an additional 209,000 people out of work, roughly equivalent to the population of the London Borough of Merton. Even adjusting for the high proportion of young people in London, these levels of unemployment in London may seem peculiar, given the strength of London’s economy relative to other areas of the UK. Available evidence suggests that the problem of worklessness in the capital is driven by:
- A higher prevalence of individuals at risk of worklessness relative to the UK average
- A claimant population who in many cases are claiming for longer than elsewhere in the UK
- The effects of migration and competition for jobs
- The nature of London’s labour market.
We expand upon each of these characteristics in more detail below.
### Higher prevalence of individuals at greater risk of worklessness
There is widespread data highlighting the demographic trends behind worklessness in the UK, and a number of these highlight particular problems facing Londoners, 30% of whom face two or more key
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\<page_number>30\</page_number> PricewaterhouseCoopers LLP barriers to work, against a UK average of 23%.¹³ Unemployment rates are higher amongst minority ethnic groups across the UK as a whole, and Black Minority Ethnic unemployment levels in London are 41% compared to 38% for the rest of the UK (ONS, 2009). Patterns of worklessness are also closely correlated with measures of poverty and exclusion, where London has a disproportionate share compared to the rest of England. For example, 15% of households living in social rented accommodation were unemployed (47%) compared with 21% for households living in privately rented property, and 8 per cent for those living in owner-occupied accommodation.²⁶
**Longer term claimants with poorer employment prospects**
Around 3,000 Londoners have been claiming an unemployment benefit for more than six months, which is broadly in line with the England average, but the number claiming benefits for more than a year is greater in London than the national average.²⁷ A total of 6.1% of those of working age claim Incapacity Benefit (IB) compared to 5.4% outside London. The proportion of those claiming National Insurance contributions to claim contributory IB compared to 34% outside London, suggesting a worse work history in the capital (HMT, 2007). London IB claimants have poorer employment prospects than elsewhere with only 35% of those moving off IB finding employment of over 16 hours a week compared to 63% nationally (ibid).
**Migration, competition and London’s labour market**
Although the number of jobs in London increased by 700,000 in the decade between 1997 and 2007, the overall employment rate remained largely unchanged due to increases in the working age population over the same period. Domestic and international migration brings a constant stream of new workers into the city and increases competition, compounded by the fact that the demand pattern within London’s labour market has changed significantly in recent decades. Between 1981 and 2001 low skilled jobs fell as a proportion of London jobs from 12% to 10% (HMT, 2007).
On the supply side, London has an unbalanced skills structure which ‘sags’ in the middle, with more NVQ4+ individuals, but with fewer NVQ1+ trade apprenticeships than the England average. There is a higher proportion of skilled labour seeking employment than elsewhere in England, which can exclude those with fewer qualifications and less experience.
**Building up the wider costs of worklessness in London**
An assessment of the total costs associated with worklessness is dependent upon the scope of benefits, credits, employment support and associated administrative costs that are included in any calculation. Based on our analysis, we estimate the figure for London to be at least £5bn per year, representing around 7% of the total spent on public services in the capital.
Expenditure on worklessness can be allocated between ‘direct’ and ‘indirect’ costs. The direct costs are those unemployment benefit payments directly attributable to worklessness, including Income Support (IS), Jobseeker’s Allowance (JSA), and Incapacity Benefit (IB), replaced by the introduction of the Employment Support Allowance in 2008).
The total expenditure within London on those working age benefits was £2.645bn in 2007/08 set out in the table below.
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<sup>13</sup> Labour Force Survey, Spring 2005, quoted in HMT 2007 <sup>2</sup> 2001 Census from Neighbourhood Statistics <sup>3</sup> ONS, Labour Market Trends, November 2004 <sup>47</sup> Employment opportunity for all: tackling worklessness in London – HMT 2007
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<table>
<tr>
<td>Incapacity Benefit/Severe Disablement Allowance</td>
<td>Income Support</td>
<td>Jobseeker's Allowance</td>
</tr>
<tr>
<td>GREAT BRITAIN</td>
<td>7,308.5</td>
<td>8,948.1</td>
<td>2,243.6</td>
</tr>
<tr>
<td>ENGLAND AND WALES</td>
<td>6,409.1</td>
<td>8,062.5</td>
<td>2,099.3</td>
</tr>
<tr>
<td>LONDON</td>
<td>591.9</td>
<td>1,878.8</td>
<td>361.1</td>
</tr>
<tr>
<td>LONDON AS % GB</td>
<td>8.1</td>
<td>18.7</td>
<td>17.0</td>
</tr>
</table>
The costs of administering these benefits are not easily available. While these costs are hard to apportion at a regional level, London has 14.3% of the total numbers of IS, IB and JSA customers²⁸, and apportionment of the administrative costs of JCP on the same basis would give a figure of £450mn.
Finally, this number is further increased by some £450mn spent on employment policy within London during the same period.²⁹ Thus the benefit and administration costs combined of direct benefits are in excess of £3.5bn.
We believe that the resulting figure understates the total expenditure on worklessness in London, since it ignores those working age benefits for which the worklessness of the claimant is likely to have a major bearing on the claim. Specifically, workless people are typically eligible to claim housing benefit and council tax benefit, and for some, their worklessness is a key factor driving the claim. Total expenditure on these other working age benefits was £4,821bn in 2007/08.
Finally, housing benefit administration costs in London totalled £71.6mn in 2003/04,³⁰ the last year for which figures could be obtained from public sources.
This adds up to a combined total direct and indirect spend of more than £8bn on benefits, administration and related services, as set out in the diagram below.
<img>A circular diagram showing the breakdown of spending.
- Income Support: £1,672.8m
- Housing Benefit: £4,151.3m
- Incapacity Benefit: £591m
- Job Seekers Allowance: £381.1m
- Council Tax Benefit: £670.2m
- Unknown other administrative cost: £71.6m Housing Benefit
- Apporcioned JCP Costs: £450mn
- Employer costs: £450mn
- Unknown other administrative cost: £71.6m Housing Benefit
NB: Relative sizes and overlaps indicative only.</img>
<sup>²⁸</sup> DWP Statistical and Accounting Data <sup>²⁹</sup> HMT PESA data <sup>³⁰</sup> http://hansard.millbanksystems.com/written_answers/1996/feb/22/housing-benefits
\<page_number>32\</page_number> PricewaterhouseCoopers LLP On the basis that not all of the benefit expenditure for housing benefit and council tax benefit can be apportioned to worklessness, we have assumed, conservatively in our view, that it is reasonable to apportion £5bn of these total costs to worklessness.
**The current system and its flaws**
**The current customer journey**
In examining the potential for reform to the current system for tackling worklessness, we have applied a process of “customer journey mapping” to better understand the experience of people who are workless. The diagram overleaf illustrates in broad terms some of the strengths (highlighted in green) and weaknesses (highlighted in red) of the customer journey through the existing welfare administration process.
<img>A flowchart illustrating the customer journey through the JSA route and ESA route.</img>
- **JSA route**
- Assessment of award
- Calls contact centre
- Eligibility assessment
- JSA awarded and paid by benefit delivery centre
- There is a long gap between payment and personal support
- Max 8 weeks
- Pathways has a poor success rate despite the extra cost.
- JCP advisor ring New Deal prog
- Vardaries Courts etc.
- **ESA route**
- Workless individual
- Internal JSA awarded
- Health assessment
- Max 1 week
- The health assessment is against national criteria and consistently
- Support awarded
- Ongoing reassessment
Strengths are that the initial award of benefit is swift and relatively efficient. The award is made nationally and therefore consistently. The system is relatively joined up; for example, claimants only have to prove eligibility for JSA/ESA in order to receive housing benefit and council tax benefit support.
However, there are also a number of weaknesses in the current process. The initial weakness is that, except in cases of large scale redundancy, there is limited preventative support to help people at risk to avoid worklessness. Research suggests that earlier interventions are more successful in supporting people into work, yet in the current system significant delays can occur before customers with more complex needs are identified and offered support.
**Current approaches to welfare support**
Available research also indicates that the different welfare programmes adopted in recent years demonstrate relatively poor performance in London. For example, Work Based Learning for Adults, as measured by the percentage of leavers going into work is much less successful across the board in London than nationally. The correlation between national performance by ethnic minority groups and London’s performance, suggests that it is London’s higher proportion of these groups which makes a key difference in London’s underperformance. The causality is not with ethnicity but that ethnicity further
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<footnotes>
<fn>1</fn> DWP Contracting support for the hard to help http://www.dwp.gov.uk/docs/wr-chapter-3.pdf
<fn>2</fn> http://research.dwp.gov.uk/asd/asd1/wbia/jul2006/wbia_jul06_table1.pdf
</footnotes>
correlates with underpinning factors of unemployment such as skills levels, language capacity, networks and some social choices (for example, female employment outside the home).
There is, more generally, a paucity of data which could be used to analyse the return on investment of these programmes, which in itself is a negative feature of the status quo.
One available source document, DWP research report 525, highlights that the Pathways programme had been ‘rather limited’ in impact. For example, the additional impact of this programme on employment chances, when compared to a control group was an increase of only 7%. This is compared against an additional cost of around £300 per claim.30
**Key themes in recent thinking on welfare reform**
More generally, the failings of the current welfare system and what can be done about them have been the subject of much recent thinking by both Government and a range of other interested parties. Perhaps most prominently, a report by David Freud31 identified a number of weaknesses in the process for helping individuals into work. Freud highlighted that individuals with multiple characteristics of worklessness were not being sufficiently catered for by the existing ‘New Deal’ client group approach, and emphasised a more personalised approach where public, voluntary and private providers drove up standards through competition.
Recognising the challenge of personalisation, the introduction of the Flexible New Deal was announced in Jan 2008. Alongside this, programmes such as Pathways to Work have sought to support those on Incapacity Benefit into work. In December 2008, DWP published the White Paper *Raising expectations and increasing support: reforming welfare for the future*.32 This was billed as ‘a decisive step towards a personalised welfare state’. The Treasury has also noted that the challenge of worklessness needs greater input from the local dimension; a recent policy paper stated that ‘Local autonomy is important to allow the flexibility to address area-specific problems’.33
In summary, there is a strong case for considering new ways to tackle worklessness, and this is all the more pressing in London given the scale of the challenge facing the capital. We set out below our proposals for a radical Total Place proposition to reorganise the delivery of welfare support services to London’s most vulnerable job-seekers.
**A proposed new system and why this is better**
*Outline design for a new delivery model in London*
We propose a new delivery model anchored in the following design principles:
- **Citizen-centric – creating a system that builds tailored welfare support around the circumstances of individuals and local labour markets in the capital;**
- **Devolutionary where it matters – devolving responsibilities and resources to individuals and to local government to support a more personalised approach;**
- **Centralised where it makes sense – JCP retains an important role in processing and standard-setting to ensure consistency, fairness and efficiency;**
- **Incentives and sanctions to support an early return to work are built into the system - and aligned to individual and organisational accountability; and**
- **The provision of employment advice should be further professionalised and locally organised - by passing responsibility for performance management of these roles to local government and re-emphasising a case management approach.**
______________________________________________________________________
\<page_number>34\</page_number> PricewaterhouseCoopers LLP
______________________________________________________________________
<footnotes>
30 http://research.dwp.gov.uk/asd/asd5/report2007-2008/rmp525.pdf
31 http://www.dwp.gov.uk/policy/welfare-reform/legislation-and-key-documents/freud-report/
32 http://www.dwp.gov.uk/docs/fullversion.pdf
33 HM Treasury, Employment opportunity for all – tackling worklessness in London March 2007
</footnotes>
Our suggested approach proposes a seismic shift in central and local roles and responsibilities for worklessness in London, alongside a 'staged' approach to supporting workless people into work. The diagram provides an overview of this proposition, whilst the following sections set out how this might work in practice.
<img>
A flowchart showing the proposed model.
- **Individual**: Benefit spend (USA/ ESA) → Single pot → Other funding linked to individual's circumstances.
- **Local authority(ies)**: Appointment and performance management of personal advisor(s).
- **JCP**: Initial assessment and payment processing.
- **Provider market**: Individually-purchased support, e.g. skills, transport, rehabilitation, supplementary care.
- **Convenes local agencies and manages local supply market**.
- **Personal Advisor**: Individual choices supported by Personal Advisor.
- **Ensure consistent application/enforcement of benefit eligibility**.
- **Applies sanctions to individuals where required**.
- **Enforces standards in provision of PA and welfare support services**.
</img>
In this model, the individual continues to be given an initial assessment and award of benefit through the existing Jobcentre Plus initial award process. An initial assessment of their support need is made in relation to a number of criteria, including:
- The individual’s work history and the extent to which they have maintained a steady track record of previous employment
- The individual’s current skills levels and any aspirations they have for further training
- Their own view of their confidence and capability to find work in the future.
From the assessment individuals would be grouped into those likely to require limited personal support to find a job, and those who will require more hands-on, personalised support. In the model we propose, the former continue to be managed by JCP.
The latter would be referred to a personal advisor, employed and managed (whether directly or through commissioning) by the local authority. They are responsible for helping the individual decide how best to use their own ‘personal budget’ – the pot of allocated expenditure which traditionally would have been partially devoted to them directly, and partially spent on their behalf.
Local government would be responsible for supporting the development of a provider market, from which the individual is encouraged to commission welfare and related support services. This could enable more personalised, individually relevant support which can be better linked to an individual’s needs – for example, childcare and rehabilitation. The underpinning rationale is that the local authority is well-placed to help individuals with complex needs both navigate through the myriad agencies that could help them, and advise on how they can best use the resources locally set aside for their use – including health and social care budgets for some individuals.
\<page_number>35\</page_number> PricewaterhouseCoopers LLP JCP would maintain responsibility for the bulk of individuals who are well-placed to find work relatively easily with limited support. JCP would also take on a role as standard setter and enforcer, including applying sanctions to individuals not using the opportunity of personalised budgets appropriately.
The model recognises the local authority’s unique strengths, in having reach on the ground to other public, private and voluntary bodies and the holistic responsibility for an area which enables it to act as the convenor of services around an individual. It follows the hypothesis that support for well being and support into employment are complementary, rather than distinct, activities. It also reflects a wider range of learning and skills support outside of the traditional, course-led offer which could be better utilised. For example, work experience, job shadowing and peer support. For London in particular, it could provide a more holistic approach to supporting individuals with multiple and complex needs.
The diagram below illustrates the range of these services across the key dimensions of health and well being, skills and experience, and finding and staying in work.
<img>
A circular diagram showing the different services available to workless individuals.
- The outer ring contains the following:
- Economic development
- Vacancy high
- Equality Diversity
- Trading standards
- Colleges
- Employers groups
- Voluntary orgs
- Spatial strategy
- The inner ring contains the following:
- Finding and staying in work
- Skills and experience
- Group level solutions
- Local business
- Mentoring
- Transport
- Mental Health
- YOT
- Social care
- Pensions
- Leisure
- Connexions
- Health and well being
Key roles and responsibilities in the new framework
**Workless individuals** Workless individuals have a new responsibility for their own personal budget, to be used to purchase welfare and other support services to suit their needs. The right to resources comes with a responsibility to deliver an ‘into work plan’ agreed with their advisor, with a ‘ladder of sanctions’ approach; meaning they progressively sacrifice resource control if they fail to meet their commitments.
**Local government** Local government acts as the strategic commissioner and market manager for the area, taking advantage of local knowledge of the labour market. It also acts as the convenor of a range of local services and galvanise public, private and voluntary sector interventions towards preventing and reducing worklessness, such as using local area agreements and similar mechanisms.
**Jobcentre Plus** Jobcentre Plus continues to provide the initial assessment and payment function to all claimants – efficiently and consistently – on a national basis. JCP is able to share evidence about what works’ in welfare interventions to support local authority market management activity and become a knowledge broker, rather than delivery vehicle for these services. It sets ‘kite mark’ standards for welfare providers. </img>
\<page_number>36\</page_number> PricewaterhouseCoopers LLP and the personal advisor role to support minimum quality standards; the role here would be akin to establishing a set of 'professional standards' to which providers and personal advisors should adhere, based on JCP's existing experience and understanding of what is most effective in the delivery of welfare services and welfare advisory support.
There is also potential for JCP to act as an ombudsman in the event that local providers fail to meet their obligations – providing a 'voice' option in addition to the market effect of individuals voting with their feet.
**Managing the risks associated with personal budgets**
The potential advantages of personalised budgets have been demonstrated in the course of their increasing adoption within health and social care. Nonetheless, personal budget approaches carry risks that individuals make more or less effective decisions about resource allocation. One way to manage this would be to build risk mitigation into the new framework, and the following are set out below as illustrations of potential approaches that could be taken:
**Potential approach: 'Ladder of sanctions'**
<img>
A ladder diagram showing different levels of sanctions.
- The top rung (1) shows 'Individual budget: personal advisor guidance linked to agreed back-to-work plan'.
- The second rung (2) shows 'Sanctions applied: individual has compulsory support areas and requires approval for other spending'.
- The third rung (3) shows 'Individual relinquishes personal budget and the totality is directed by the personal advisor'.
</img>
**Compulsory support**
<img>
A bar chart showing funding percentages:
- At the bottom, 'HB & CTB' is 0%.
- Below that, 'HB & CTB' is 5%.
- Below that, 'HB & CTB' is 10%.
- Below that, 'HB & CTB' is 15%.
- Below that, 'HB & CTB' is 20%.
- Below that, 'HB & CTB' is 25%.
- Below that, 'HB & CTB' is 30%.
- Below that, 'HB & CTB' is 35%.
- Below that, 'HB & CTB' is 40%.
- Below that, 'HB & CTB' is 45%.
- Below that, 'HB & CTB' is 50%.
- Below that, 'HB & CTB' is 55%.
- Below that, 'HB & CTB' is 60%.
- Below that, 'HB & CTB' is 65%.
- Below that, 'HB & CTB' is 70%.
- Below that, 'HB & CTB' is 75%.
- Below that, 'HB & CTB' is 80%.
- Below that, 'HB & CTB' is 85%.
- Below that, 'HB & CTB' is 90%.
- Below that, 'HB & CTB' is 95%.
- Above that, 'HB & CTB' is 100%.
The x-axis shows three categories: Current position, Progressive sanctions and Direct control. The y-axis shows percentage funding from 0% to 100%, with increments of 5%.
Blue = centrally controlled Green = individually controlled
Current position Progressive sanctions Direct control </img>
Currently, housing and council tax benefits are generally paid on the individual's behalf, directly to their landlord (which in many cases is a social landlord). The Employee Support Allowance or JSA is paid directly by DWP, to the individual claimant. Any further support – for example, the costs of courses and personal care in the case of individuals with conditions – is spent on the individual's behalf by various agencies, including Jobcentre Plus, local authorities and the NHS.
We acknowledge that personalisation of some of these benefits is controversial, but in the new model they are devolved into one 'pot' controlled by the individual, empowering them to make decisions on where it is spent. The personal advisor's role is help them navigate the market, and agree an 'into work plan' which will set out different conditions the individual has to meet to continue to have ownership of their funds. Failure to meet these conditions – for example, not attending interviews – would result in the activation of a sliding-scale of control being taken back by the local authority.
Naturally, the proposed model has significant implications for financial control and governance of resources. There are a number of ways this could be managed, which would need to be subject to detailed analysis as part of further development of the model. These could include:
- Retaining responsibility for each element of the 'pot' within the individual agencies who devolve the funding;
- Appointing a 'lead agency' to take overall responsibility and ownership of the resources on behalf of the key organisations involved; and/or
- Creating a bespoke, arms-length entity with specific responsibilities for the governance of the funding
\<page_number>37\</page_number> PricewaterhouseCoopers LLP involved, as a way of managing the risks associated with this kind of devolutionary approach.
**A localised approach to commissioning additional employment support**
The Government has recognised the need for more direct forms of labour market support for certain groups of individuals, most recently in its Pre-Budget Report announcement of guaranteed work or training for 18-24 year-olds who are unemployed for more than six months.
We propose that this proposal could be expanded to support wider groups of workless individuals back into work, potentially through investment in local social enterprise drawing on a blend of public and third sector expertise. Given their existing economic development responsibilities, local authorities are well-placed to use local partnerships to establish such social enterprises, aimed at raising skills and experience among target groups and building social capital in deprived areas. This option might be considered for those individuals for whom individual support interventions have proved ineffective or where the most appropriate skills and experience support that could be given would be experience of a working environment.
We recognise that this has the potential to become a ‘crowded space’ given an existing and vibrant social enterprise market in some areas; we suggest that this type of intervention be focused on those areas where local authorities can use their local leadership role to stimulate support of this nature where it is less well-developed. The return on investment would be through reduced benefit costs as well as the local value generated by the enterprise. Jobs created in this way could be fixed term and aligned directly with local labour market needs, to ensure the flow of individuals back into the private economy.
<img>
LB1 LB2 LB3 LB4
Workless individuals
Enterprise 1 Enterprise 2 Enterprise 3
Commissioned through local partnerships
</img>
**The potential financial implications of the proposed model**
Identifying the potential financial implications of this proposed approach is challenging, given the complexities in articulating the full costs of the current system. However, it is possible to develop some outline estimates of the potential savings available, by making a number of assumptions based on the available evidence about the effectiveness of existing programmes that have focused on greater personalisation of welfare support. We summarise below both the results of our analysis and a summary of our approach to undertaking it.
Our approach has been to focus on the potential savings in direct and indirect benefits expenditure that would result from getting more people back into work more quickly than the current system, since these represent the lion’s share of the £5bn costs of worklessness we identified earlier. We have also undertaken a high-level assessment of the potential additional ‘tax take’ on the earnings of those people moved back into work, which would otherwise be lost to the Exchequer.
**Our initial estimates suggest a potential for savings of almost £630mn on benefits costs. The savings assumptions are set out in the table below.**
<table>
<thead>
<tr>
<th>Savings area</th>
<th>Savings assumptions (maximised) (£mn)</th>
</tr>
</thead>
<tbody>
<tr>
<td>Reductions in JSA payments</td>
<td>60.7</td>
</tr>
<tr>
<td>Reductions in IS payments</td>
<td>148.1</td>
</tr>
<tr>
<td>Reductions in IB payments</td>
<td>52.3</td>
</tr>
</tbody>
</table>
\<page_number>38\</page_number> PricewaterhouseCoopers LLP
<table>
<tr>
<td>Savings area</td>
<td>Savings assumptions (maximised) (£mn)</td>
</tr>
<tr>
<td>Reductions in HB payments</td>
<td>367.4</td>
</tr>
<tr>
<td>TOTAL SAVINGS (£m)</td>
<td>628.5</td>
</tr>
</table>
As soon as workless individuals are back in work, wider benefits accrue. For example, we estimate that the increased 'tax take' from getting Londoners back into work could be around £440mn, taking the wider picture of savings and benefits combined to more than £1bn.
Our savings assessment is underpinned by many assumptions. The key ones include that:
- The proposed model succeeds in closing the gap in unemployment levels between London and the UK average for the entire 'excess unemployed' population
- The 'excess unemployed' reduce the average time they spend claiming JSA by 35%
- The savings generated in reduced IS, IB and HB payments are half of those generated by reductions in JSA payments (reflecting the fact that IS/IB claimants have been historically harder to move back into employment than those claiming JSA, and that there will be a commensurate saving in HB linked to claimants returning to work)
- An additional 'tax take' is generated by 50% of the excess unemployed entering the workforce, based on an assumed average salary of £22,861 (equivalent to the bottom quartile for London as a whole); and
- The administrative costs of the proposed model are broadly equivalent to the existing system and therefore cost-neutral.
**Conclusion**
Clearly, some of these assumptions are optimistic and further financial analysis will be required in order to better develop a more robust assessment of the costs and benefits of the approach we propose. Nonetheless, the scale of the challenge facing London in relation to worklessness, and the potential financial and other benefits of an improved approach to tackling this challenge, suggest an urgent need to consider radical alternatives to the current system.
We advocate more detailed work to develop a model for testing, based on the principles and outline design that we have set out here, which puts workless individuals at the centre of a more personalised approach to welfare support, supported by local authorities as the agencies best-placed to co-ordinate the support services required to help people back into sustainable employment.
Our headline conclusions at this stage are that reforms along the lines that we have proposed could result in savings of almost £630mn of the current £5bn spent annually on addressing worklessness in London. In addition, there are the broader benefits of a further £440mn from increased tax revenues as a result of getting Londoners back into work.
\<page_number>39\</page_number> PricewaterhouseCoopers LLP
# Overarching analysis and making the case for change
## Introduction
The deeper analysis around the three themes was not undertaken solely to look at how services could be improved and/or costs reduced in these areas; an equally important aim was to identify opportunities for savings, service change or organisational realignment that could have application across public services and public spending more generally in London.
The three areas that we have examined in detail account for an estimated £10,65bn of expenditure; that is, almost 14.5% of total annual public expenditure in the capital. We have not even reviewed the totality of the systems of provision in each of these, yet our analysis already suggests that there is the potential for efficiency gains to be secured in the region of 15% of current expenditure across the three themes as summarised in the table below:
<table>
<thead>
<tr>
<th>Theme</th>
<th>Current estimated cost £mn</th>
<th>Potential saving £mn</th>
<th>Savings as a percentage of current costs</th>
</tr>
</thead>
<tbody>
<tr>
<td>Chronic care</td>
<td>5,000</td>
<td>880</td>
<td>17.6</td>
</tr>
<tr>
<td>Young people with ASB</td>
<td>650</td>
<td>65</td>
<td>10.0</td>
</tr>
<tr>
<td>Worklessness</td>
<td>5,000</td>
<td>629</td>
<td>12.5</td>
</tr>
<tr>
<td>Total</td>
<td>10,650</td>
<td>1,574</td>
<td>14.8</td>
</tr>
</tbody>
</table>
The potential for improvement and efficiency is based on addressing a number of flaws that characterise current arrangements for delivering public services and outlining solutions to address them. There is a high degree of overlap in the analysis of the problems and generation of solutions between the three service areas we have explored. But more importantly, we believe that both the flaws and potential remedies identified are applicable more generally to public services across London, and therefore that the total potential financial and service improvement prize is considerably greater than that outlined in the above table. This range of reforms with more general applicability is summarised below.
### Policy realignment around earlier intervention
The analysis of all three topics suggests that a significant weakness in existing arrangements is that insufficient attention is given to early interventions that avoid greater and more expensive problems occurring later. The consequence of this is less effective, and more costly, reactive responses by London’s public services.
The current arrangements for the management of diabetes illustrate this clearly. Despite steps in the right direction, resources to care for those with the more severe effects of diabetes remain disproportionately focused on the provision of episodic care within acute settings. The development of a more preventative approach, alongside other changes, has the potential to deliver more effective forms of treatment that are better aligned with the wishes of most people with diabetes and secure significant efficiency gains.
\<page_number>40\</page_number> PricewaterhouseCoopers LLP This principle extends more widely across public services in London, for example, from health to criminal justice, from worklessness to homelessness. In particular, we believe that a greater focus on earlier intervention and prevention is at the core of helping to address the particular demands placed on local public services by what are frequently termed “the most chaotic families”.
Realising the full potential of the benefits from early intervention presents a significant challenge to the way public sector organisations are currently configured – our example of diabetes and also our recommendations concerning ASB both highlight the need for a considerable shift in resource to enable investment in preventative and early intervention measures.
There is an important leadership role for local government in London to play in pursuing this case for change, if only because London Boroughs stand to benefit disproportionately from the changes that we are advocating. In our example of the benefits of early intervention and prevention concerning the systems for treating diabetes, the gains to local government (£82m per annum) are potentially in the region of 23% of current expenditure compared to benefits of approximately 10% to the NHS (£22m) against current levels of spend.
This raises a broader and substantive challenge to public services and to Whitehall in terms of the design and delivery of efficiency programmes. The scale of the fiscal crisis facing public services is likely to engender another period of scrutiny of expenditure and now gives an opportunity – even an imperative – to put in place the necessary policy realignment across existing organisational boundaries to effect radical change based upon principles of early intervention and prevention.
Previous efficiency programmes driven from Whitehall, for example Gershon, have largely tended to reflect organisational boundaries both within central government and at the more local level. By taking a whole system approach to complex challenges, our analysis suggests that the next wave of projects that secure substantial efficiencies within local government will in part be dependent upon reform within other parts of the public sector. Without that commitment to change, local authorities will increasingly find it difficult to secure their share of the efficiency gain in their position at the end of the ‘supply chain’.
Overall, our analysis indicates that, when planned correctly, almost everyone can benefit in a system built on earlier and more effective intervention.
**Self direction/self service by customers and citizens**
Our analysis suggests that another key and common strand of the reform that underpins greater efficiency is more self-direction/self-service by customers. This is not a new theme - "personalisation" has been at the heart of changes in the social care system for some time now but applicability beyond that is still relatively limited. In a separate study that we undertook in 2008, we estimated that the amount of current expenditure that met one of the four "personalisation criteria" of individual control; individual influence; community control; and community influence, amounted to only about 6% of that local authority's budget. However, there was the potential for greater personalisation of services to apply in up to 50% of the local budget, so there is much more to play for here.
The revised models for service delivery that are explored in this paper are built upon a premise of greater self direction by the citizen/customer. Not only is this compatible with ideas of greater choice in public services; it is also consistent with the view that giving power to patients/customers/citizens to have a hand in shaping the services delivered to them is a social good in its own right. Critically, this move does not have to cost more. Indeed, we argue that it will cost less in most cases providing that the public sector agencies work hard to cut back on those services provision that do not involve older service users. Our model is predicated on efficiency gains being secured for example through the transfer of funds to individuals in the form of a personal budget to assist them in seeking and securing work.
Self direction/self service is a theme that resonates across much of the public service beyond the three areas that we have examined. It has a role to play in education, cultural provision, housing and some elements of the criminal justice system. The range of potential areas for further investigation and analysis is significant – as a relatively small example, this option to give parents the budgets to spend on gifted and talented children as opposed to supporting provision through schools.
\<page_number>41\</page_number> PricewaterhouseCoopers LLP The extension of personalisation to secure these financial and other benefits again requires significant policy realignment across public services, including within Whitehall. Again, we believe that local government has a clear leadership role to play here drawing upon its experience to date of extending personalisation in the area of social care.
**The importance of effective case management**
Our analysis has shown that, in some areas, current arrangements for service delivery are overly complex because of the involvement of multiple public sector bodies with occasionally overlapping roles and functions; sometimes contradictory objectives and targets; and at times inappropriate arrangements for the tasks in hand. We have resisted the obvious temptation to suggest a reduction the number of agencies involved in an overly-simplistic redrawing of roles and responsibilities as this often tends to recreate problems elsewhere within the system. Instead, we have identified three types of reform that help to underpin our analysis of the potential for savings within the three areas that we have studied but that also, we believe, have wider applicability across public service provision in London.
In our analysis of the whole system approach to young people who behave anti-socially, we highlight the complexity of the existing service delivery landscape. It has multiple agencies responsible for a variety of fragmented interventions designed to ‘nip’ anti-social behaviour and low-level criminal activity ‘in the bud’, and limited co-ordination of the sanctions and support for individual offenders and their families. We articulate a new approach to the management of anti-social behaviour amongst young people that places at its centre an integrated case management approach led by Youth Offending Teams under the control of local authorities. The development of a case management approach is the first of the three areas of reform that we have identified.
By case management, we mean more flexible, end-to-end management and organisation of the public service support that an individual needs, overseen by a key worker, case officer or similar. While this approach has been rolled out across a number of individual services, with mixed success, there have been fewer attempts to develop a single case worker role to co-ordinate and shape the delivery of multiple public services for individuals who are vulnerable or even destitute. This is an important theme for the future: earlier intervention requires more intelligent predictive strategies to avoid later costs. Self direction/self service necessitates rounded and appropriate help for individuals or households seeking to navigate their way around the system. And more integrated approaches to service delivery by multiple public sector agencies require someone to act as the integrator.
All these needs point towards a better system of case management for individual citizens, especially around key transition events in their lives. This need becomes even sharper in the case of households who have multiple needs and who access services from many organisations. There has been considerable focus recently on the part of a number of local authorities, including some London Boroughs, on the needs and demands of high service users – such as the ‘top 100 families’ in an area. These examinations have highlighted the very considerable requirements that relatively small numbers of households place on public services through their complex needs and frequent interactions with multiple providers. In addition, we argue that more flexible and integrated case management should be an integral part of emergent local strategies both to deliver more effective solutions to these individuals and families and to secure substantial efficiency gains for the public purse.
We do not underestimate the scale of the challenge presented by this reform. The sorts of changes outlined above, and the more detailed propositions set out in relation to each of the key topics for this study, will require a new breed of public service professional to deliver them. Historically – and for sound reasons – public service professionals are expected to combine administrative skills with professional discipline, and accountable upwards for performance to those same institutions. The service delivery models developed in our topic analyses suggest the need for more flexible public service workers, who are able to convene interventions by multiple public service organisations, engage proactively and early with individual citizens, and who are encouraged to feel more directly accountable towards the individuals they serve.
Once again, local authorities are ideally placed to take the lead here. Their existing construction as multi-purpose organisations with highly diverse workforces means that they have the broad outlook and role to take the lead in championing new models of public service workers.
\<page_number>42\</page_number> PricewaterhouseCoopers LLP Organisational complexity and the delivery of local services that are place-appropriate
This paper highlights that the current systems for dealing with young people who behave anti-socially and for managing chronic conditions are both characterised by the involvement of a large number of public sector bodies (nine for ASB and eight for chronic care) and a lack of clear co-ordination between them. Indeed, on far too many occasions, the objectives and targets of one public body can clash with those of another – an oft cited example is the requirement for hospitals to hold patients longer than medically required as they avail social care provision to be available in their homes and/or for move-on accommodation to become free.
These areas are not the exception. The multiplicity of organisations that provide services does not seem in general to have a strong logic: as we highlight in the earlier text, the relatively low spending field of ‘economy’ has 60 spending organisations, whereas in education, with three times the spend there are only 21 spending bodies.
As we have noted above, we have resisted the temptation to call for a widespread dismantlement of existing public sector structures. There is a case to be made for that and it has been rehearsed by others. But widespread structural change can be expensive and disruptive, and is no guarantee in itself that services improve and that better outcomes are achieved. Notwithstanding that reservation, our analysis suggests that greater simplicity, with the added potential benefits of enhanced service delivery and better value for money can be delivered through some reallocation of responsibilities between public sector agencies within London. We further suggest that London Boroughs are ideally placed to assume these responsibilities.
For example, our analysis of current arrangements for tackling anti-social behaviour amongst young people emphasises the importance of an enhanced role for local authorities to ensure that Youth Offending Teams are deployed more effectively. We believe London Boroughs are best-placed to assume these greater responsibilities because they:
- Are the public sector bodies that are typically closest to their communities and with the best community knowledge
- Often incur significant additional costs at the end of the service delivery chain as a result of failed (or absent) interventions earlier in the system. In extending their role, there is a greater motivation for them to secure greater efficiency overall for the public purse.
In each case, our proposals therefore advocate greater authority for local councils who, we propose, should take responsibility for a greater proportion of the existing systems. Our analysis further suggests that the three areas we have examined in detail are unlikely to represent the sum total of the potential for efficiencies to be secured through the transfer of responsibilities to local authorities – witness our findings concerning the number of organisations associated with economic development. This in turn may call into question the viability of a number of agencies and bodies – as we say, this was not the starting point for our investigation but it is conceivable that a broader extension of this analysis across other areas of public expenditure in London will identify this as an appropriate course of action.
Organisational complexity and the gaps in provision
Our analysis has also identified that, in some cases, there are gaps in current public sector provision where appropriate intervention can secure better outcomes and greater efficiency. For example, at present there is insufficient attention given by public service providers to support young people in the transition to secondary education and to those youngsters who are excluded from formal education and who become associated with anti-social behaviour.
We have argued that London Boroughs are ideally placed to fill this current void for the range of reasons set out above. The extent to which this analysis and remedy can be repeated across other areas of public service provision is at present unclear, but it is reasonable to assume there are other areas of complex service delivery and/or community needs where ‘gaps’ exist at present and consequently individual problems are not addressed effectively and additional costs are incurred later by a range of public service organisations.
\<page_number>43\</page_number> PricewaterhouseCoopers LLP **Extrapolation of findings and potential savings**
London Councils chose three important themes for us to explore in this paper – and within these, we have postulated savings that combine at more than £1.5bn each year. For the most part, these are the direct costs associated with those areas. We have identified still broader benefits in terms of enhanced tax revenues through effectively tackling worklessness and reduced future costs to society at large through earlier and more effective intervention in addressing anti-social behaviour.
We have highlighted the more general applicability of our reform principles to public expenditure at large within the capital. We therefore believe that the suggested savings of almost 15% that we believe would accrue in the three areas that we have reviewed, would apply equally to the total public expenditure in London of some £73.6bn per annum. In short, through general application of the reform principles we have set out above, we believe that the potential benefits accruing to the public purse in the capital could be as much as £11bn per annum.
Clearly further work is required to give greater certainty to this initial analysis and investment will be required to secure this level of savings, but our examination suggests there is a significant prize to be secured in delivering better services for Londoners at better value for money.
\<page_number>44\</page_number> PricewaterhouseCoopers LLP Annex: Non-departmental public bodies operating in London
The list of bodies in the table below is based on Cabinet Office's *Public Bodies 2008* publication. We selected those with a level of spend over £100,000 in that year and with a direct or significant indirect impact on London in that financial year. We have netted off income generated in normal operations (for example admission fees), in coming to a view about yearly operating costs.
<table>
<tr>
<td>Departmental reporting/responsibility</td>
<td>COFOG category (PwC allocation)</td>
</tr>
<tr>
<td>Cabinet Office</td>
<td></td>
</tr>
<tr>
<td>1 Capacitybuilders</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>2 Commission for the Compact</td>
<td>General public services</td>
</tr>
<tr>
<td>3 National School of Government</td>
<td>General public services</td>
</tr>
<tr>
<td colspan="2">Communities and Local Government</td>
</tr>
<tr>
<td>5 Community Development Foundation</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>6 English Partnerships</td>
<td>Housing and community amenities</td>
</tr>
<tr>
<td>7 Firelink</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>8 Housing Corporation</td>
<td>Housing and community amenities</td>
</tr>
<tr>
<td>9 Home and Communities Agency</td>
<td>Housing and community amenities</td>
</tr>
<tr>
<td>10 Independent Housing Ombudsman Ltd</td>
<td>Social protection</td>
</tr>
<tr>
<td>11 LEASE (The Leasehold Advisory Service)</td>
<td>Social protection</td>
</tr>
<tr>
<td>12 London Thames Gateway Development Corporation</td>
<td>Social protection</td>
</tr>
<tr>
<td>13 Rent Service Executive Agency</td>
<td>Housing and community amenities</td>
</tr>
<tr>
<td>14 Standards Board for England</td>
<td>Social protection</td>
</tr>
<tr>
<td>15 Valuation Tribunal Service</td>
<td>Housing and community amenities</td>
</tr>
<tr>
<td colspan="2">Department for Constitutional Affairs</td>
</tr>
<tr>
<td>16 Legal Services Commission</td>
<td>Social protection</td>
</tr>
</table>
\<page_number>45\</page_number> PricewaterhouseCoopers LLP
<table>
<thead>
<tr>
<th>Departmental reporting/responsibility</th>
<th>COFOG category (PwC allocation)</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="2">Department for Culture, Media and Sport</td>
</tr>
<tr>
<td>17</td>
<td>Arts Council England</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>18</td>
<td>Big Lottery Fund</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>19</td>
<td>British Library</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>20</td>
<td>British Museum</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>21</td>
<td>Commission for Architecture and the Built Environment</td>
<td>Housing and community amenities</td>
</tr>
<tr>
<td>22</td>
<td>English Heritage</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>23</td>
<td>Football Licensing Authority</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>24</td>
<td>Gambling Commission</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>25</td>
<td>Geffrye Museum (London)</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>26</td>
<td>Horniman Public Museum and Public Park Trust</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>27</td>
<td>Horserace Betting Levy Board</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>28</td>
<td>Imperial War Museum</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>29</td>
<td>Museum of London</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>30</td>
<td>Museum of Science and Industry</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>31</td>
<td>Museums, Libraries and Archives Council</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>32</td>
<td>National Gallery</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>33</td>
<td>National Heritage Memorial Fund</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>34</td>
<td>National Lottery Commission</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>35</td>
<td>National Maritime Museum</td>
<td>Recreation, culture and religion</td>
</tr><tr><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td></tr><tr><th colspan="3"></th></tr><tr><th colspan="3">46 PricewaterhouseCoopers LLP 46
<table>
<thead>
<tr>
<th>Departmental reporting/responsibility</th>
<th>COFOG category (PwC allocation)</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Department for Children, Schools and Families</strong></td>
<td></td>
</tr>
<tr>
<td>50 11 Million</td>
<td>Education</td>
</tr>
<tr>
<td>51 British Educational Communications and Technology Agency</td>
<td>Education</td>
</tr>
<tr>
<td>52 Children and Family Court Advisory and Support Service</td>
<td>Education</td>
</tr>
<tr>
<td>53 National College for School Leadership</td>
<td>Education</td>
</tr>
<tr>
<td>54 Office of Her Majesty's Chief Inspector</td>
<td>Education</td>
</tr>
<tr>
<td>55 Partnership for Schools</td>
<td>Education</td>
</tr>
<tr>
<td>56 Qualifications and Curriculum Authority</td>
<td>Education</td>
</tr>
<tr>
<td>57 School Food Trust</td>
<td>Education</td>
</tr>
<tr>
<td>58 Teachers Training Agency</td>
<td>Education</td>
</tr>
<tr>
<td>59 Training and Development Agency for Schools</td>
<td>Education</td>
</tr>
<tr>
<td><strong>Department for Environment, Food and Rural Affairs</strong></td>
<td></td>
</tr>
<tr>
<td>60 Agricultural and Horticultural Development Board</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>61 Agricultural Wages Board for England and Wales</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>62 Agricultural Wages Committees for England</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>63 British Potato Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>64 Consumer Council for Water</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>65 Environment Agency</td>
<td>Environmental protection</td>
</tr>
<tr>
<td>66 Food from Britain</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>67 Gangmasters Licensing Authority</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>68 Home Grown Cereals Authority</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>69 Horticulture Development Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>70 Joint Nature Conservation Committee</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>72 Marine and Fishery Agency</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>73 Milk Development Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>74 National Forest Company</td>
<td>Environmental protection</td>
</tr>
<tr>
<td>75 Natural England</td>
<td>Environmental protection</td>
</tr>
<tr>
<td>76 Royal Botanic Gardens, Kew</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>77 Sea Fish Industry Authority</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>78 Foods Standard Agency</td>
<td>Economic affairs</td>
</tr>
<tr style="border-top: 1px solid black;">
<th><strong>Department for International Development </strong></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th><strong>Commonwealth Scholarship Commission in the UK </strong><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><<br/></strong> </page_number>PricewaterhouseCoopers LLP
<table>
<thead>
<tr>
<td>Departmental reporting/responsibility</td>
<td>COFOG category (PwC allocation)</td>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Department for Transport</strong></td>
<td></td>
</tr>
<tr>
<td>80 British Transport Police Authority</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>81 Highways Agency</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>82 Rail Passengers Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>83 Railway Heritage Committee</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>84 Renewable Fuels Agency</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>85 Trinity House Lighthouse Service</td>
<td></td>
</tr>
<tr>
<td>86 Office of Rail Regulator</td>
<td>Economic affairs</td>
</tr>
<tr>
<td><strong>Department for Work and Pensions</strong></td>
<td></td>
</tr>
<tr>
<td>87 Health and Safety Commission</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>88 Health and Safety Executive</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>89 Jobcentre Plus</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>90 Independent Living Funds</td>
<td>Social protection</td>
</tr>
<tr>
<td>91 Personal Accounts Delivery Authority</td>
<td>Social protection</td>
</tr>
<tr>
<td>92 The Pensions Advisory Service</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>93 Pensions Agency</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>94 The Pensions Regulator</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>95 Working Ventures UK</td>
<td>Economic affairs</td>
</tr>
<tr>
<td><strong>Department of Health</strong></td>
<td></td>
</tr>
<tr>
<td>96 Alcohol Education and Research Council</td>
<td>Health</td>
</tr>
<tr>
<td>97 Appointments Commission</td>
<td>Health</td>
</tr>
<tr>
<td>98 Commission for Patient and Public Involvement in Health</td>
<td>Health</td>
</tr>
<tr>
<td>99 Commission for Social Care Inspection</td>
<td>Health</td>
</tr>
<tr>
<td>100 General Social Care Council</td>
<td>Health</td>
</tr>
<tr>
<td>101 Health Protection Agency</td>
<td>Health</td>
</tr>
<tr>
<td>102 Healthcare Commission (Commission for Healthcare Audit and Inspection)</td>
<td>Health</td>
</tr>
<tr>
<td>103 Human Fertilisation and Embryology Authority</td>
<td>Health</td>
</tr>
<tr>
<td>104 Human Tissue Authority</td>
<td>Health</td>
</tr>
<tr>
<td>105 Monitor – Independent Regulator of NHS Foundation Trusts </td><td>Health </td></tr><tr><td colspan="2">106 National Biological Standards Board </td></tr><tr><td colspan="2">Health </td></tr><tr><th><strong>Department for Business, Enterprise and Regulatory Reform </strong></th><th></th></tr><tr><th>107 Advisory, Conciliation and Arbitration Service </th><th>Economic affairs </th></tr><tr><th>108 Competition Commission </th><th>Economic affairs </th></tr><tr><th>109 Competition Service </th><th>Economic affairs </th></tr><tr><th>110 Consumer Council for Postal Services (Postwatch) </th><th>Economic affairs </th></tr><tr><th>111 Gas and Electricity Consumer Council (Energy Watch) </th><th>Economic affairs </th></tr></tbody></table>
\<page_number>48\</page_number>
PricewaterhouseCoopers LLP
<table>
<thead>
<tr>
<td>Departmental reporting/responsibility</td>
<td>COFOG category (PwC allocation)</td>
</tr>
</thead>
<tbody>
<tr>
<td>112 Hearing Aid Council</td>
<td>Health</td>
</tr>
<tr>
<td>113 Local Better Regulation Office</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>114 National Consumer Council x 3</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>115 Natural Environment Research Council</td>
<td>Environmental protection</td>
</tr>
<tr>
<td>116 SITPRO Ltd</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>118 UK Atomic Energy Authority</td>
<td>Economic affairs</td>
</tr>
<tr>
<td colspan="2"><strong>Department for Innovation, Universities and Skills</strong></td>
</tr>
<tr>
<td>118 Arts and Humanities Research Council</td>
<td>Education</td>
</tr>
<tr>
<td>119 Biotechnology and Biological Sciences Research Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>120 British Hallmarking Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>121 Construction Industry Training Board</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>122 Design Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>123 Economic and Social Research Council</td>
<td>Education</td>
</tr>
<tr>
<td>124 Engineering and Physical Sciences Research Council</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>125 Engineering Construction Industry Training Board</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>126 Higher Education Funding Council for England</td>
<td>Education</td>
</tr>
<tr>
<td>127 Investors in People UK</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>128 Learning and Skills Council</td>
<td>Education</td>
</tr>
<tr>
<td>129 Medical Research Council</td>
<td>Health</td>
</tr>
<tr>
<td>130 National Endowment for Science Technology and the Arts</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>131 Office for Fair Access</td>
<td>Education</td>
</tr>
<tr>
<td>132 Quality Improvement Agency</td>
<td>Education</td>
</tr>
<tr>
<td>133 Science and Technology Facilities Council</td>
<td>Education</td>
</tr>
<tr>
<td>134 Sector Skills Development Agency</td>
<td>Education</td>
</tr>
<tr>
<td>135 Student Loans Company</td>
<td>Education</td>
</tr>
<tr>
<td>136 Technology Strategy Board</td>
<td>Economic affairs</td>
</tr>
<tr>
<td>137 UK CES</td>
<td>Social protection</td>
</tr><br/>
<tr><td colspan="2"><strong>Foreign and Commonwealth Office<br/></strong></td></tr><br/>
<tr><td>138 British Council<br/>Great Britain – China Centre<br/>Marshall Aid Commemoration Commission<br/>Westminster Foundation for Democracy<br/></td><td>General public services<br/>General public services<br/>Education<br/>General public services<br/></td></tr><br/>
<tr><td colspan="2"><strong>Government Equalities Office<br/></strong></td></tr><br/>
<tr><td>142 Equality and Human Rights Commission<br/></td><td>General public services<br/></td></tr><br/>
<page_number>49 PricewaterhouseCoopers LLP.</page_number></table>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities, and corresponding COFOG categories (PwC allocation).</img>
<img>A table listing departments, their responsibilities,\</i
<table>
<tr>
<td>Departmental reporting/responsibility</td>
<td>COFOG category (PwC allocation)</td>
</tr>
<tr>
<td><strong>Home Office</strong></td>
<td></td>
</tr>
<tr>
<td>143 Independent Police Complaints Commission</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>144 Independent Safeguarding Authority</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>145 National Policing Improvement Agency</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>146 Office of the Immigration Services Commissioner</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>147 Security Industry Authority</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>148 Serious Organised Crime Agency</td>
<td>Public order and safety</td>
</tr>
<tr>
<td><strong>Ministry of Defence</strong></td>
<td></td>
</tr>
<tr>
<td>149 National Army Museum</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td>150 Royal Air Force Museum</td>
<td>Recreation, culture and religion</td>
</tr>
<tr>
<td><strong>Ministry of Justice</strong></td>
<td></td>
</tr>
<tr>
<td>151 Criminal Cases Review Commission</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>152 Criminal Injuries Compensation Authority</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>153 Information Commissioner's Office</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>154 Judicial Appointments Commission</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>155 Parole Board</td>
<td>Public order and safety</td>
</tr>
<tr>
<td>156 Youth Justice Board for England and Wales</td>
<td>Public order and safety</td>
</tr>
</table>
\<page_number>50\</page_number>
PricewaterhouseCoopers LLP This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without performing appropriate due diligence and/or obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents accept no liability, and disclaim all responsibility, for the consequences of you or anyone else acting, or refraining to act, in reliance on this information contained or for any decision based on it.
©2010 PricewaterhouseCoopers LLP. All rights reserved. 'PricewaterhouseCoopers' refers to PricewaterhouseCoopers LLP (a limited liability partnership in the United Kingdom) or, as the context requires, other member firms of PricewaterhouseCoopers International Limited, each of which is a separate and independent legal entity. Design_ID_100073
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**Main Accounting System** **City of York Council** **Internal Audit Report 2015/16**
Business Unit: Customer & Business Support Services Responsible Officer: Director of Customer & Business Support Services Service Manager: Corporate Finance & Commercial Procurement Manager Date Issued: 25th May 2016 Status: Final Reference: 10120/007
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<td>Actions</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<td>Overall Audit Opinion</td>
<td colspan="3">Substantial Assurance</td>
</tr>
</tbody>
</table>
\<page_number>1\</page_number>
<img>YORK logo</img>
# Summary and Overall Conclusions
## Introduction
The Financial Management System (FMS) is the fundamental financial accounting system used by the council. The system records all financial activity undertaken by the council. This includes gross expenditure on services, in 14/15, of £432m and total expenditure on capital schemes of £48.2m.
The FMS also records all financial decisions made by the council in the form of a budget. The FMS is used to prepare the council’s annual accounts, financial returns and for budgetary control. The FMS is made up of Civica Financials, which includes integrated modules for general ledger, debtors and creditors, and is integrated to the purchasing system Civica Purchasing.
## Objectives and Scope of the Audit
The purpose of this audit was to provide assurance to management that procedures and controls within the system will ensure that:
- Control accounts and bank reconciliations are carried out regularly.
- Transactions are transferred accurately from feeder systems into Civica Financials.
- The integrity and security of the main accounting system is maintained.
- Responsibilities and processes for journal entries and year end processing are appropriately defined and allocated.
- Transactions are accurately valued and allocated correctly within the general ledger.
This audit focussed on the arrangements for the overall governance of the system and the controls and risks related to the general ledger. The debtors and creditors (including purchasing) systems are audited as separate entities.
## Key Findings
Overall, the majority of controls within the main accounting system were found to be operating effectively.
Control accounts were being monitored and reconciled at regular intervals. It was noted that SAP, SMP and SPP (statutory adoption, maternity and paternity pay) control accounts were prone to variances in the majority of months. Furthermore, it was found that control account variances carried over from 2014/15 related to the 2011/12 financial year. It may be beneficial for a cut-off point to be incorporated for unexplained variances over a certain age.
\<page_number>2\</page_number> <img>YORK logo</img> Cash receipting records had been reconciled against the general account and general ledger in sufficient depth and frequency. Payments accounts had also been reconciled with appropriate frequency. An in-year reconciliation of the general account is planned for the second half of the 2016/17 financial year, though this has not yet been formally planned.
Journals were entered and authorised appropriately; however self-authorisation of journals (where an accountant or finance manager both enters and approves the journal) had jumped to 14% of all live journal entries from 1.5% in the 2014/15 financial year. Responsibilities for closedown were allocated and clearly defined.
Feeder files were received from an appropriate source, entered and transferred into Civica promptly. All feeder files were reconciled, with the exception of Servitor; there was no reconciliation of Servitor files to check whether values did in fact go in correctly but there is a pre-upload check of control totals that was observed operating effectively. It was noted that the reconciliations for Yearsley and Energise are time consuming and cumbersome.
User access was limited appropriately and the security and integrity of the main accounting system had been maintained. Suspense account balances were reasonable and detail codes were appropriately regulated and monitored.
Testing identified two issues in relation to the use of virement codes and generic income codes. These issues, whilst not fundamental to the functioning of the main accounting system, nonetheless require management's attention.
**Overall Conclusions**
It was found that the arrangements for managing risk were good with few weaknesses identified. An effective control environment is in operation, but there is scope for further improvement in the areas identified. Our overall opinion of the controls within the system at the time of the audit was that they provided Substantial Assurance.
\<page_number>3\</page_number> <img>YORK logo</img> **1 Virements are not completed appropriately in accordance with policy**
| Issue/Control Weakness | Risk | |---|---| | Virements have not been completed using the correct transaction code, in accordance with the virement policy in place at the time of testing. Evidence of authorisation is not available on FMS. Narrative notes for bulk upload virements are not detailed as per virement policy. | Virements are completed inappropriately. Failure to comply with financial regulations and policies could lead to reputational damage to the Council. |
**Findings** A sample of ten bulk upload spreadsheets was reviewed to determine whether the narrative line included authorisation received, as per the Virement Policy. All ten bulk upload spreadsheets had narratives that did not make any reference to the approval received.
In addition, a sample of ten virements and ten accounting adjustments (determined according to the transaction code used) were chosen to test whether FMS contained evidence they had been authorised correctly in accordance with the virement policy and financial regulations. With the exception of one virement and one accounting adjustment (which both referenced Executive approval dates), all virements and accounting adjustments reviewed did not have any information on FMS to evidence the approval received prior to completion.
Four virements sampled (40%) had used the transaction code 'VRIRC' (RRV - Chief Officer approved), which is listed in the Virement Policy as appropriate 'up to the value of £100k'. However, the value of these virements were significantly higher (£200k - £950k).
There were three virements over £500k for the 2015/16 financial year. All three were checked; one referenced director approval and the remaining two had chief officer approval. Financial Regulations state that all virements over £500k should be approved by the Executive.
However, it should be noted that, for the sample tested, it was not clear whether the virements were indeed virements, or whether they were budget roll forwards, base budget building or accounting adjustments. This lack of clarity and consistency makes it hard to monitor and assess whether virements entered on FMS have been completed and authorised appropriately. A new virement policy was introduced in January 2016 to clarify the procedure and ensure consistency when completing virements, and to create a clear audit trail. The total number of transactional codes has been reduced. This places further onus on the directorate to record the virements and evidence their approval on a separate spreadsheet.
**Agreed Action 1.1** A new virement policy has been circulated that simplifies the codes to be used. In addition, a new system of recording virements is now in place that will allow easy access to view bulk upload virements. A check will be completed by the corporate finance team during the year to ensure virements are being processed in accordance with the agreed policy.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Corporate Finance & Commercial Procurement Manager</td>
</tr>
<tr>
<td>Timescale</td>
<td>September 2016</td>
</tr>
</table>
<img>YORK logo</img>
\<page_number>4\</page_number> **2 Value of income attributed to miscellaneous income codes**
<table>
<tr>
<td>Issue/Control Weakness</td>
<td>Risk</td>
</tr>
<tr>
<td>Use of miscellaneous codes has been reduced following an action point raised in the 14/15 audit; however c£0.5m of income is still without a meaningful detail code. Continued focus is necessary to ensure that these codes are not used where a more appropriate code could have been used instead.</td>
<td>Income is not correctly recorded on the FMS.</td>
</tr>
</table>
**Findings**
A review of ledger codes conducted by the Corporate Finance team had focused on expenditure codes. The Principal Accountant advised that the intention was to work on miscellaneous income codes for the 2015/16 financial year.
The general ledger was reviewed for 2015/16 and the value of both miscellaneous income and expenditure was found to be lower than the previous year. A total value of around £163k was attributed to miscellaneous expenditure, reduced from £624k in 2014/15.
For miscellaneous income codes, the total value was £579k, reduced from around £750k in 2014/15. Of the income attributed to miscellaneous codes in 2015/16, the five largest were: £122k related to contract management fees; £55k related to grants; £45k pay-by-phone car parking income; £35k for utilities licensing and £28k related to Blue Badge administration fees. Although the miscellaneous income value is lower than in 2014/15, and shows some progress has been made in respect to limiting usage of the code, the figure is still a considerable value in comparison to miscellaneous expenditure. Further work is therefore necessary to ensure that the miscellaneous income code is not used where, if it is a regular source of revenue, a detail code could be set up or a more appropriate existing code could be used.
**Agreed Action 2.1**
The use of miscellaneous income codes will be kept under review to ensure income is coded as accurately as possible.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>Corporate Finance & Commercial Procurement Manager</td>
</tr>
<tr>
<td>Timescale</td>
<td>September 2016</td>
</tr>
</table>
<img>YORK logo</img> Annex 1
# Audit Opinions and Priorities for Actions
**Audit Opinions**
Audit work is based on sampling transactions to test the operation of systems. It cannot guarantee the elimination of fraud or error. Our opinion is based on the risks we identify at the time of the audit.
Our overall audit opinion is based on 5 grades of opinion, as set out below.
<table>
<tr>
<th>Opinion</th>
<th>Assessment of Internal control</th>
</tr>
<tr>
<td>High Assurance</td>
<td>Overall, very good management of risk. An effective control environment appears to be in operation.</td>
</tr>
<tr>
<td>Substantial Assurance</td>
<td>Overall, good management of risk with few weaknesses identified. An effective control environment is in operation but there is scope for further improvement in the areas identified.</td>
</tr>
<tr>
<td>Reasonable Assurance</td>
<td>Overall, satisfactory management of risk with a number of weaknesses identified. An acceptable control environment is in operation but there are a number of improvements that could be made.</td>
</tr>
<tr>
<td>Limited Assurance</td>
<td>Overall, poor management of risk with significant control weaknesses in key areas and major improvements required before an effective control environment will be in operation.</td>
</tr>
<tr>
<td>No Assurance</td>
<td>Overall, there is a fundamental failure in control and risks are not being effectively managed. A number of key areas require substantial improvement to protect the system from error and abuse.</td>
</tr>
</table>
**Priorities for Actions**
<table>
<tr>
<th>Priority 1</th>
<td>A fundamental system weakness, which presents unacceptable risk to the system objectives and requires urgent attention by management.</td>
</tr>
<tr>
<th>Priority 2</th>
<td>A significant system weakness, whose impact or frequency presents risks to the system objectives, which needs to be addressed by management.</td>
</tr>
<tr>
<th>Priority 3</th>
<td>The system objectives are not exposed to significant risk, but the issue merits attention by management.</td>
</tr>
</table>
\<page_number>6\</page_number>
<img>YORK logo</img> Where information resulting from audit work is made public or is provided to a third party by the client or by Veritau then this must be done on the understanding that any third party will rely on the information at its own risk. Veritau will not owe a duty of care or assume any responsibility towards anyone other than the client in relation to the information supplied. Equally, no third party may assert any rights or bring any claims against Veritau in connection with the information. Where information is provided to a named third party, the third party will keep the information confidential.
\<page_number>7\</page_number> <img>YORK logo</img>
|
ENGLISH
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0026-pdf
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<img>Veritau Assurance Services for the Public Sector</img>
Implementation of Schools Finance System City of York Council Internal Audit Report 2015/16
Business Unit: Adults, Children & Education, Responsible Officer: Assistant Director Education & Skills Service Manager: Headteachers Date Issued: 09/09/2016 Status: Final Reference: 15699/010
<table>
<thead>
<tr>
<td></td>
<td>P1</td>
<td>P2</td>
<td>P3</td>
</tr>
</thead>
<tbody>
<tr>
<td>Actions</td>
<td>0</td>
<td>0</td>
<td>5</td>
</tr>
<tr>
<td>Overall Audit Opinion</td>
<td colspan="3">Substantial Assurance</td>
</tr>
</tbody>
</table>
\<page_number>1\</page_number>
<img>YORK logo</img>
# Summary and Overall Conclusions
## Introduction
The new web based Financial Management System (replacing RM finance) has been live in schools from 1st April 2015. The chosen system was Civica Financials Web with a Civica Purchasing System. Each school is set up as a separate department with access through their server to their own data only. Central administrators have full access rights across all schools through Citrix. All access rights, passwords and supplier lists are set up and controlled centrally. It is planned that the system will eventually operate with electronic payments however, until this is in place schools will continue to use printed or manual cheques.
## Objectives and Scope of the Audit
The purpose of the audit was to provide assurance to management that effective controls were in place at schools for the operation of the new Financial Management System.
The key objectives of the audit were to ensure:
- The Civica Purchasing System is used in compliance with the schools delegated authority and CYC Financial Regulations.
- Debtors invoices are raised through the debtors module
- System reports and notifications to ensure complete and accurate processing of income and expenditure are checked and retained as required
- System reconciliations and checks are completed to confirm the balances of the accounting records and returns are correct (to cover bank reconciliation, VAT, central fund)
- Budgets are correctly uploaded and monitoring reports produced on a regular basis
A review of procedures in place at a sample of five schools was included as part of this audit.
## Key Findings
Civica Financials Web and the Civica Purchasing System were introduced in all schools from 1/4/15 with some limited functionality. In particular, the facility to upload income received to Financials Web was not available to schools until late June, completion of bank reconciliation and production of budget monitoring reports were not available until September 2015. It was found that most schools in the sample tested had engaged with the new systems as they became available
\<page_number>2\</page_number> <img>YORK logo</img> Creditor accounts for regular suppliers had been set up centrally. However some initial delays in the opening of new creditor accounts requested by the schools had resulted in extended use of manual ordering and manual cheque payments. Some training and technical issues at individual schools had also resulted in some delays in the use of Civica Purchasing.
For all schools included in the review there was evidence to confirm that financial records were well maintained. However at the time of the review:
- One school had not introduced Civica Purchasing due to problems in agreeing staff user levels
- One school was not using FW debtors module for raising debtor invoices
- Two schools had not continued to ensure there was evidence of independent verification that all cheque stationery was accounted for.
- At three schools there were errors found in the budgets recorded onto Financials Web
All findings relating to individual schools were reported to the school at the end of the audit visit.
**Overall Conclusions**
It was found that the arrangements for managing risk were good with few weaknesses identified. An effective control environment is in operation, but there is scope for further improvement in the areas identified. Our overall opinion of the controls within the system at the time of the audit was that they provided Substantial Assurance
\<page_number>3\</page_number> <img>YORK logo</img> **1 Civica Purchasing**
| Issue/Control Weakness | Risk | |---|---| | One school had not set up user permissions on the Civica Purchasing System and continued to use a manual ordering system. | Committed expenditure is not recorded on the schools accounting system and overspends may occur. Official orders may not be raised by the school which may result in unauthorised expenditure and duplicate payments. |
**Findings**
At the time of the visits four of the five schools were using the Civica Purchasing System to order goods and services, confirm receipt of goods and process the invoice for payment Permissions on the Civica Purchasing System had been set in compliance with the Governors approval of delegated authority to post holders. It was found that:
1. One school had not set levels of access and permissions for the system due to a failure to agree staff responsibilities for approving, ordering and goods receiving for goods and services. Manual orders were being raised and controls were in place to ensure all purchases were approved and goods were received before payments were made through Financials Web. This was discussed with the school and it was agreed that a proposal would be submitted to committee so that appropriate permissions could be set up for the Civica Purchasing System for the new financial year.
2. It was noted that at any point prior to payment of the invoice the supplier/payee can be changed on the Civica Purchasing System to any registered payee. If the payee is changed in error this should be identified when the payment is checked to the invoice by the cheque signatories.
**Agreed Action 1.1**
1. The school concerned was offered and accepted additional support in the form of an information giving meeting. Since that meeting and the production of this report the school has decided to procurement their own system. It is understood, however, that the problem of agreeing staff responsibilities with an appropriate separation of duties remains.
2. A solution to this matter will be discussed with colleagues in Corporate a/c's responsibility for the Council's Civica system then if necessary referred to Civica.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>School Business and Monitoring Officer</td>
</tr>
<tr>
<td>Timescale</td>
<td>31st December 2016</td>
</tr>
</table>
\<page_number>4\</page_number>
<img>YORK logo</img> **2 Cheque Logs**
<table>
<tr>
<td>Issue/Control Weakness</td>
<td>Risk</td>
</tr>
<tr>
<td>Two out of the five schools visited did not maintain evidence that all cheque stationery was accounted for.</td>
<td>Cheques may be lost or stolen and fraudulent payments may be made.</td>
</tr>
</table>
**Findings** Only three of the five schools visited maintained a cheque log recording all used cheques and cancelled or spoilt cheques in the cheque run and signed to evidence independent verification that cheque numbers follow on from the previous run and that all cheques in the run are accounted for.
**Agreed Action 2.1** At the training provided for School finance staff on the Financials Web system and subsequently via the weekly Schools' Bulletin, schools were advised to maintain a list of cheques used either by continuing with the manual log or using the Cheques Used Report generated by the system. A colleague from Corporate a/c's, who is familiar with Civica's report writing facility Crystal Reports, is to be asked to add appropriately titled spaces on the Cheques Used Report for cheque signatories to sign to verify the cheque numbers used including any spoilt or cancelled.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>School Business and Monitoring Officer</td>
</tr>
<tr>
<td>Timescale</td>
<td>31st December 2016</td>
</tr>
</table>
\<page_number>5\</page_number>
<img>YORK logo</img> **3 Debtor Invoices**
| Issue/Control Weakness | Risk | |---|---| | One school was not raising invoices through the Debtors System, but continued to raise manual pro-forma invoices. | Failure to ensure all income is collected and to account for income due. |
**Findings** Four out of five schools were using the debtors module on Financials Web to raise debtor invoices. One school had not as yet engaged with this and had continued to use the manual pro-forma invoice system. Although there was little invoiced debtor income it was agreed by the school that new invoices would be raised through Financials Web.
**Agreed Action 3.1** Since drafting this report the one school found not to have engaged with the Debtors module has decided to procure their own accounting software. Other schools are to be asked to return any unused Pro-forma Invoice pads.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>School Business and Monitoring Officer</td>
</tr>
<tr>
<td>Timescale</td>
<td>30th September 2016</td>
</tr>
</table>
\<page_number>6\</page_number> <img>YORK logo</img> **4 Income Upload**
| Issue/Control Weakness | Risk | |---|---| | For one school income uploads were not cross referenced to bankings. The income upload was completed to match income appearing on the bank statements. | Monitoring reports and debtor records may not be up-to-date. Errors in accounting records or at the bank may not be promptly identified and investigated. |
**Findings**
Records at five schools were tested to ensure that all income received was recorded on an income upload record, that the upload record was cross referenced to the banking and confirmation of upload retained.
It was found that one school did not cross reference income upload records to bankings. The income upload to Financials Web was adjusted to match the income on the bank statement prior to the bank reconciliation being completed. This system had been operated by the school to facilitate accounting for cash and cheques being split on the bank account. The school accounts were therefore not promptly updated with income received and the bank reconciliation did not identify income received and banked but not yet appearing on the statement. The school however separately checked all paying in records to the bankings. This practice was discussed with the school and it was agreed that an alternative system would be introduced to ensure prompt upload of income and cross reference between income upload and bankings.
**Agreed Action 4.1**
It was agreed that this issue is to be given Observation status therefore no response is needed.
<table>
<tr>
<td>Priority</td>
<td>3</td>
</tr>
<tr>
<td>Responsible Officer</td>
<td>N/A</td>
</tr>
<tr>
<td>Timescale</td>
<td>N/A</td>
</tr>
</table>
\<page_number>7\</page_number> **5 Budget Monitoring**
<table>
<tr>
<th>Issue/Control Weakness</th>
<th>Risk</th>
</tr>
<tr>
<td>There were errors in the budget recorded onto Financials Web at three of the five schools tested.</td>
<td>Accurate information may not be available for budget monitoring and spend may not be effectively controlled.</td>
</tr>
</table>
**Findings**
All schools visited were producing regular budget monitoring reports. However it was noted that the brought forward balance was not recorded on the report.
For all the schools the approved start and revised budgets were checked to Financials web to ensure they had been accurately recorded. At three of the schools there were errors on the budgets recorded on Financials Web. The error at one school related to capitalised revenue not appearing on the capital budget and at the other two schools related to capital expenditure being incorrectly recorded on the budget. These errors were highlighted at the schools for correction.
For all transactions tested the accuracy of coding of income and expenditure was verified. No coding errors were noted.
**Agreed Action 5.1**
The principle that actual income and expenditure must be monitored against the Start or Revised Budget approved by Governors has not changed with the introduction of Financials Web. School staff were informed of this at the training courses on which the production of Monitoring Reports was covered.
Civica have been reminded of the requirement for brought forward balances to be shown appropriately on Monitoring Reports and asked to complete this piece of work as soon as possible.
| Priority | 3 | |---|---| | Responsible Officer | School Business and Monitoring Officer | | Timescale | 31st December 2016 |
\<page_number>8\</page_number> Annex 1
# Audit Opinions and Priorities for Actions
**Audit Opinions**
Audit work is based on sampling transactions to test the operation of systems. It cannot guarantee the elimination of fraud or error. Our opinion is based on the risks we identify at the time of the audit.
Our overall audit opinion is based on 5 grades of opinion, as set out below.
<table>
<tr>
<th>Opinion</th>
<th>Assessment of Internal control</th>
</tr>
<tr>
<td>High Assurance</td>
<td>Overall, very good management of risk. An effective control environment appears to be in operation.</td>
</tr>
<tr>
<td>Substantial Assurance</td>
<td>Overall, good management of risk with few weaknesses identified. An effective control environment is in operation but there is scope for further improvement in the areas identified.</td>
</tr>
<tr>
<td>Reasonable Assurance</td>
<td>Overall, satisfactory management of risk with a number of weaknesses identified. An acceptable control environment is in operation but there are a number of improvements that could be made.</td>
</tr>
<tr>
<td>Limited Assurance</td>
<td>Overall, poor management of risk with significant control weaknesses in key areas and major improvements required before an effective control environment will be in operation.</td>
</tr>
<tr>
<td>No Assurance</td>
<td>Overall, there is a fundamental failure in control and risks are not being effectively managed. A number of key areas require substantial improvement to protect the system from error and abuse.</td>
</tr>
</table>
**Priorities for Actions**
Priority 1 A fundamental system weakness, which presents unacceptable risk to the system objectives and requires urgent attention by management.
Priority 2 A significant system weakness, whose impact or frequency presents risks to the system objectives, which needs to be addressed by management.
Priority 3 The system objectives are not exposed to significant risk, but the issue merits attention by management.
\<page_number>9\</page_number>
<img>YORK logo</img> Where information resulting from audit work is made public or is provided to a third party by the client or by Veritau then this must be done on the understanding that any third party will rely on the information at its own risk. Veritau will not owe a duty of care or assume any responsibility towards anyone other than the client in relation to the information supplied. Equally, no third party may assert any rights or bring any claims against Veritau in connection with the information. Where information is provided to a named third party, the third party will keep the information confidential.
\<page_number>10\</page_number> <img>YORK logo</img>
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ENGLISH
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0619-pdf
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<img>The Planning Inspectorate logo</img>
# Appeal Decision
Site visit made on 26 November 2014
**by S. Ashworth BA (Hons) BPI MRTPI** an Inspector appointed by the Secretary of State for Communities and Local Government
**Decision date: 31 December 2014**
**Appeal Ref: APP/M9496/A/14/2226137** **The Old School House, Lower Farm, Brushfield, Taddington, Derbyshire** **SK17 9UQ**
- The appeal is made under section 78 of the Town and Country Planning Act 1990 against a refusal to grant planning permission under section 73 of the Town and Country Planning Act 1990 for the development of land without complying with conditions subject to which a previous planning permission was granted.
- The appeal is made by Mr & Mrs A Charboneau against the decision of Peak District National Park Authority.
- The appeal was Ref NP/DDD/0414/0375, dated 18 March 2014, was refused by notice dated 14 August 2014.
- The application sought planning permission for conversion of former school to holiday cottage without complying with a condition attached to planning permission Ref NP/DDD/1104/1215, dated 26 May 2005.
- The condition in dispute is No 5 which states that: ‘This permission relates solely to the use of the premises hereby approved for short-term holiday residential use; the property shall not be occupied as a permanent dwelling and shall not be occupied by any one person for more than six months at any one time.’
- The reason given for the condition is: ‘Permission has been granted in accordance with policy RT3 of the Structure Plan which permits the conversion of traditional buildings to holiday accommodation. Conversion to a permanent dwelling would be contrary to Structure Plan Policies.’
**Decision**
1. The appeal is dismissed.
**Main Issue** 2. The main issue in this case is whether the disputed condition is reasonable and necessary, in the interests of being consistent with the principles of sustainable development, having regard to current planning policy and guidance.
**Reasons** 3. The Old School House is a detached stone building located within the small hamlet of Brushfield which comprises a group of dwellings and holiday cottages. The Old School House, which is in use as a holiday cottage, and its curtilage, is located to the south eastern end of Lower Farm. The hamlet lies within the open countryside. 4. The appellant seeks to remove condition 5 attached to the original planning permission, which restricts the occupancy of the appeal building to a short-let
www.planningportal.gov.uk/planninginspectorate Appeal Decision APP/M9496/A/14/2226137
holiday residential use (maximum 28 days continuous stay per calendar year). Therefore were I to allow the appeal, its removal would have the effect of granting planning permission for conversion to a permanent dwelling to meet general demand.
05. The Peak District National Park Core Strategy Development Plan Document (Core Strategy) adopted in 2011 carries forward the policy approach adopted by the Authority for many years; that it is not appropriate to permit new housing in the countryside simply in response to the significant open market demand to live in its sought after environment. This reflects the purposes of the National Park’s Statutory Designation.
06. Accordingly Core Strategy Policy HC1 states that new housing, including the re-use of buildings, will only be accepted under exceptional circumstances. These include where it addresses eligible local need; provides for key rural workers or is required in order to achieve conservation/enhancement of a valued vernacular or listed building. This policy is consistent with paragraph 55 of the National Planning Policy Framework which sets out criteria where residential development in rural areas might be found acceptable. These criteria include the re-use of a redundant or disused building where it would lead to an enhancement in the immediate setting, or in order to meet an essential need for a rural worker to live permanently at or near their place of work.
07. The building is of local vernacular interest. As a result of the works involved in its conversion, the building has been sympathetically restored and retained. As such the removal of the holiday occupancy condition is not necessary to secure the conversion or enhancement of the building, as that has already taken place. There is no evidence before me to demonstrate that the removal of condition 5 would result in a dwelling that would meet eligible local needs or provide for key worker accommodation. Consequently the proposal would not meet the tests of policy HC1 for new housing in the countryside.
08. The appellants have drawn my attention to a decision by the Authority to grant planning permission effectively for the removal of a holiday occupancy condition at a nearby property at Lower Farm (ref NP/DDD/1109/1030) in 2010. The officer report accompanying that decision suggests that as the building was sited within a hamlet of 6 other dwellings its conversion to a permanent dwelling would be less pronounced and this justified approval contrary to policy.
09. Since this decision the government has produced the National Planning Policy Framework which sets out a presumption in favour of sustainable development. This is a material consideration in this appeal. To promote sustainable development in rural areas, paragraph 55 requires housing to be located where it will enhance or maintain the vitality of rural communities. New isolated homes should be avoided unless there are special circumstances such as those outlined above.
10. The appeal building is located within a group of buildings. However, that group is isolated from local services, reached by a narrow tortuous track leading from the A6. The hamlet is separated from the nearest village, Taddington, by the A6 which is a fast and busy road with no footpaths or lighting and which is therefore unsuitable as a walking or cycling route. As such the building lies in an unsustainable location. While the appellants consider that a permanent dwelling would support services in Taddington, more than would a holiday
www.planningportal.gov.uk/planninginspectorate \<page_number>2\</page_number> Appeal Decision APP/M9496/A/14/2226137
cottage, there is no convincing evidence before me to that effect. Consequently, the proposal to create a permanent dwelling would not meet the tests in the Framework.
11. I have taken into consideration the appellants' contention that the use of the building as an affordable local need dwelling would reduce its market value by some 25%. Be this as it may, the use of the building for such a purpose would be an exception to the Authority's restrictive approach to the provision of new residential development in the countryside and would be in line with its aim to deliver affordable housing to meet local need in accordance with the Framework.
12. I accept that the use of the building as a permanent dwelling would not have a harmful impact on the character and appearance of the building or its surroundings. However, the proposal would not achieve the aims of either Policy HC1 or Policy LH1, which accepts that affordable housing in the countryside can be provided to meet local need. Consequently, for the reasons given above, I conclude that the removal of the disputed condition to permit the independent and unrestricted occupation of the building would conflict with the Authority's housing policies and advice within the Framework.
13. Therefore, taking all other matters raised into account, the appeal is dismissed.
S. Ashworth INSPECTOR
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<img>A The National Archives logo</img> The National Archives
# Information Management Assessment
A review of good practice from the IMA programme, 2008-16
Section 5: Records, review and transfer
<watermark>Working with government to raise standards in information management</watermark> Contents
<table>
<tr>
<td>1</td>
<td>Oversight of records and selection</td>
<td>3</td>
</tr>
<tr>
<td colspan="3">Position of the DRO<br>Oversight, appraisal and selection</td>
</tr>
<tr>
<td>2</td>
<td>Implementing disposal decisions</td>
<td>7</td>
</tr>
<tr>
<td colspan="3">Disposing of information<br>Sensitivity review, transfer and planning</td>
</tr>
</table>
Note: references are to the named individuals, roles and organisations as they operated at the time of the Information Management Assessment or progress review.
© Crown copyright 2016. <img>ogl logo</img>
You may use and re-use the information featured in this report (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence v3.0.
Any enquiries regarding the use and re-use of this information resource should be sent to psi@nationalarchives.gsi.gov.uk
\<page_number>2\</page_number> **1. Oversight of records and selection**
IMA Goal: The organisation understands the value of its records and can consistently identify those with enduring historical value.
**Position of the DRO** The National Archives’ Keeper and CEO is ultimately responsible for the supervision of government departments in the selection and safe-keeping of records, as required under the Public Records Act.
Within government organisations, the Departmental Records Officer (DRO) has lead responsibility for compliance with the Public Records Act. DROs ensure all information is managed from the point of creation until it is either destroyed or selected for permanent preservation and transferred to The National Archives or an alternative place of deposit.
Key requirements for a successful DRO include the establishment of good working relationships with stakeholders and the adoption of an active role in raising risks and championing good practice.(^1)
**Foreign & Commonwealth Office (FCO), 2014 IMA reassessment** The FCO Departmental Records Officer was the Head of Knowledge within the Knowledge and Technology Directorate (KTD) and sat on the Directorate’s management team. The IMA report noted:
“The DRO has a direct reporting line to the Senior Information Risk Owner and Chief Information Officer. The DRO is also the Knowledge Excellence Director and is recognised to have adopted an active role in steering the programme since joining the Directorate. The DRO is also a standing member of the Knowledge Excellence Committee (KEC). This is a good practice arrangement that has the potential to give the right level of priority to information and records management objectives and to support clear and direct communication of related risks.”
(^1) nationalarchives.gov.uk/information-management/manage-information/planning/departmental-record-officer/role-departmental-record-officer/
\<page_number>3\</page_number> Home Office, 2015 IMA A new KIM team was in place at Home Office under a Senior Civil Service-level Departmental Records Officer. The IMA report noted: *The DRO is well-placed to exert influence on wider KIM issues, escalate risks and highlight issues and has been active in doing so. The DRO reports into the Director of Performance and Risk who, in turn, reports to the Chief Operating Officer and Senior Information Risk Owner.*
Oversight, appraisal and selection Information will possess different values to an organisation, which will affect how long it needs to be kept. As well as having business value, it may also have historical value to the organisation and wider society:
*This can include “evidential” value derived from the way the record documented the history, structure and functions of an organisation, and “informational” value in providing research material on persons, places and subjects. Select records for permanent preservation which show the significance of the functions and activities of departments, and which provide information relevant to themes outlined in The National Archives’ Records collection policy. These records tend to include high level policy or complex case files.*(^2)
Appraisal is the process of distinguishing information with continuing value from information that is of no further value. The National Archives steers, advises and supports government departments in the management of their information throughout its life-cycle, and advises on the selection of records (paper and digital) for transfer to The National Archives for permanent preservation. Key tools that departments can use to identify historical value include Official Selection Policies (OSP’s) and appraisal reports.
______________________________________________________________________
(^2) nationalarchives.gov.uk/documents/information-management/what-is-appraisal.pdf
\<page_number>4\</page_number> Our assessments consider whether organisations have oversight of the information they hold in all formats and whether the right processes are in place to enable identification of historical value.\\textsuperscript{3}
**Department for Work and Pensions (DWP), 2015 IMA**
A team of four staff at DWP was responsible for the appraisal, selection, sensitivity review and preparation of files for transfer. The team worked on all stages of the process rather than just one area, which helps to ensure knowledge transfer. The IMA report noted:
‘The team are experienced in appraisal and have built up a good knowledge of the history of DWP which helps them to make well-informed decisions on what to select for permanent preservation. There are clear criteria and guidance for reviewers on selection and DWP also has an Operational Selection Policy. The review team are employing macro appraisal techniques in line with The National Archives’ guidance and, where possible, complete Series Level Appraisal Questionnaires (SLAGs) for file series in order to understand what type of records the series contains. Once these are approved these are used to “slift” out files of no value for destruction. They carry out spot checks to ensure that they are not getting rid of anything of value. The National Archives Information Management Consultant (IMC) has been able to approve reviews without need for regular rechecking.’
**Ministry of Justice (MoJ), 2016 IMA reassessment**
MoJ had developed a process for appraisal and selection of digital records on its EDRMs TRIM. The IMA reassessment report noted that work on this began in 2014:
‘File by file review was tested, but proved to be too labour-intensive for digital records, so MoJ is taking a macro approach to reviewing at level
\\textsuperscript{3} nationalarchives.gov.uk/information-management/manage-information/ima/
\<page_number>5\</page_number> 3 in TRIM. According to the review team, file titling in TRIM is quite good but what staff actually file in containers can vary, so checks are required. Reviewers have a target of reviewing around 100 files a day. As experience of reviewing digital records grows, reviewers are noting patterns – such as areas where they have not selected anything for the last two years – that will aid selection in the future. Once records have been identified for selection, the file path is exported from TRIM onto a spreadsheet and review comments are added. The National Archives’ IMC has access to a TRIM account and can access the spreadsheet to make comments/sign off decisions. MoJ has reviewed records in TRIM up to 2014 and around 5,000 folders have been identified and marked for transfer to The National Archives.\*
MOJ planned to apply the same approach to appraisal and selection in its new SharePoint based IT system, JustStore.
\<page_number>6\</page_number> **2. Implementing disposal decisions**
IMA Goal: The organisation understands the process for records disposal and consistently implements decisions in line with defined plans.
**Disposing of information** Organisations cannot hold information indefinitely. ⁴ The IMA lessons learned report notes:
‘Understanding what information to keep and disposing of information when you no longer need it leads to business efficiency, decreased storage, maintenance and presentation costs and compliance with information legislation.’⁵
Information in all formats that no longer has value should be destroyed, while information that has been selected for permanent preservation should be transferred to The National Archives or an alternative place of deposit. This applies equally to information in paper and digital formats. The processes organisations put in place should support routine, value-based decisions and provide a clear audit trail.
Organisations must ensure that disposal is possible within IT systems and that retention periods are defined and routinely applied. An organisation’s approach should cover both current and legacy systems.
<sup>⁴</sup> Where departments have put disposal activities on hold, for example to meet the requirements of the Independent Inquiry into Child Sex Abuse (IICSA), a plan should be in place to restart them at an appropriate point in the future. nationalarchives.gov.uk/information-management/manage-information/ima/ima-reports-action-plans/
\<page_number>7\</page_number> Department of Health, 2014 IMA Both the Department of Health’s legacy MEDS IT system and its current SharePoint-based Information Workspace Solution, IWS, supported the automated setting of retention periods and disposal of information. The IMA report noted: ‘The department has applied retention periods to MEDS and is actively disposing of records once their retention period has ended. The Departmental Records Officer is responsible for activating disposal on a regular basis … A total of 76,000 documents held on MEDS were destroyed [in the last year], with destruction due to be undertaken on a further volume of records once requests for information to support statutory inquiries and reviews have been completed. Within IWS, a trigger date is added to folders to activate disposal; this is the responsibility of the Local Folder Manager network.’
The National Archives, 2011 IMA We assessed our own organisation in 2011. The IMA report highlighted The National Archives’ 2010 ‘What to Keep’ (WTK) exercise, conducted to identify information assets and establish retention schedules. The KIM team had worked to apply these to its file plan: ‘At the time of the assessment, the KIM team had started closing folders in the file plan to implement the disposal periods identified in WTK schedules.’
Ministry of Justice (MoJ), 2016 IMA reassessment MoJ had put in place processes to ensure that disposal of paper files was carried out in line with the agreed retention and disposition schedules. There was an annual destruction exercise each January. Requirements relating to existing disposal schedules had been factored into the move to MoJ’s new IT system, JustStore. The IMA report noted: ‘This work is carried out by the RMS team, including staff at the
\<page_number>8\</page_number> Branston Registry and at TNT. Disposal is largely on hold at the moment due to the requirements of the Independent Inquiry into Child Sexual Abuse (IICSA) ... TNT staff have been trained to seek out files that are unlikely to have relevance to IICSA. These files are then checked, listed, and the Branston Registry team signs off destruction. One member of the RMS team has been assigned the role of single point of contact for the IICSA.
'MoJ has applied retention periods to TRIM and a process is in place for enacting these. Retention and disposal instructions will be transferred to Just Store when information from TRIM is migrated.'
**Sensitivity review, transfer and planning**
Government organisations preparing records for transfer to The National Archives should review the access requirements of those records. The purpose of this review is to identify material that:
- should be retained, as the records are too sensitive for transfer to The National Archives
- should be transferred to The National Archives as closed, as Freedom of Information (FOI) exemptions apply
- can be transferred to The National Archives as open, as no FOI exemptions apply.
The sensitivity review and transfer of digital records represents a new challenge for government departments, as noted in National Archives' *Information Landscape in Government 2014-15* report. This stated that in 2016, 12 departments were expected to transfer digital records; by the end of the 20-year rule transition period this is expected to grow to an approximate total of 50.⁶
______________________________________________________________________
⁶ nationalarchives.gov.uk/information-management/manage-information/policy-process/reviewing-digital-records-management-government/research/
\<page_number>9\</page_number> We consider whether departments have effective processes in place for sensitivity review and also consider whether they are actively planning to meet their transfer obligations and use available resources appropriately.
**Welsh Government, 2016 IMA progress review**
The Welsh Government was a key participant in The National Archives’ Digital Transfer Project pilots. These pilots tested processes for appraisal, selection, sensitivity review and transfer of digital records. The progress review noted:
‘Welsh language policy records, encompassing the records of the Welsh Language Board and the Welsh Government and its predecessors, were chosen for the pilot transfer. Records were selected at a high level in reference to Welsh Government’s Official Selection Policy, supported by a range of other approaches including keyword searches and searches “by creator”, “by time” and “by document type”.
The selected series contained digital records, held on both iShare and the shared drives, and also included legacy paper files brought over to Welsh Government following the Welsh Language Board merger in 2012. Welsh Government adopted a file-by-file approach to sensitivity review, with one member of staff conducting sensitivity reviews for 17 paper files and 239 digital files over a period of three weeks. A different approach is being employed for Welsh Government’s second transfer of digital records: this will consist of the records of the 2012 Olympics in Wales and the 2010 Ryder Cup.
Welsh Government demonstrated a willingness to engage, test The National Archives’ processes and experiment throughout the project … Records were transferred in February 2015 and are now stored in series WA 11, 12 and 13. This marks the first formal digital transfer of public records to The National Archives and we note that the project benefited from Welsh Government’s participation and input.’
\<page_number>10\</page_number> **HM Treasury, 2015 IMA reassessment**
We saw good evidence that HM Treasury recognised the importance of fulfilling its obligations under the Public Records Act. There was a specific goal in HM Treasury’s Information Workplace Solutions (IWS) strategy:
‘To ensure statutory compliance, notably with the Public Records Act which requires both good records management and the preservation of historic Treasury archives’
The IWS strategy cited the move from the 30 to a 20-year rule and The National Archives’ Digital Transfer programme as drivers for this. Although HM Treasury was behind in terms of the transition to the 20-year rule, it had devised a plan to address this. The IMA report noted:
‘A paper was brought to the Advisory Council (AC) in February 2015 explaining that the transfer programme had fallen behind schedule; that the department is unlikely to catch up fully before 2023; and that they are setting out a plan for transfer. A further paper was presented to the AC in May 2015 detailing the work that HMT had done since then to:
- Revise the transfer plan to include details of the number of files in scope in each category, for each year.
- Further refine the delivery model by working with suppliers to find a way of resourcing transfer activity that balances the need for a good-quality service with the imperative of delivering it in a cost-effective way. The department is confident that it has a sustainable approach.
- Engage with the research community by involving historians in the archive selection approach and transfer priorities, and holding a transfer workshop with senior academics, jointly facilitated by HM Treasury, The National Archives and the Institute for Government.’
\<page_number>11\</page_number>
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Case Number: 3201972/2018
mf
<img>EMPLOYMENT TRIBUNALS logo</img>
**EMPLOYMENT TRIBUNALS**
Claimant: Mr M Okpapi Respondent: ISS Facility Services Ltd Heard at: East London Hearing Centre On: Wednesday to Friday, 11-13 September 2019 Before: Employment Judge Prichard Representation Claimant: Ms M Hodgson - counsel, instructed by Judith Maurice Solicitors, Edmonton N9 Mr E Ajaku, legal representative Respondent: Mr O Tahzib - counsel, instructed by Ms N Philip, solicitor ISS UK Ltd, Weybridge
**RESERVED JUDGMENT**
The judgment of the Employment Tribunal is that:
(1) The claimant's claim for constructive unfair dismissal fails and is dismissed. The claimant was not constructively dismissed. (2) The claim for arrears of pay succeeds in the sum of £1,624.32. (3) The claim for accrued holiday pay fails and is dismissed. The claimant has been paid his full entitlement. (4) The claim for overtime pay for 3 days fails and is dismissed. Overtime was not a contractual entitlement for 11 to 13 March 2019. (5) The claim for notice pay fails and is dismissed. It was dependent on the success of the constructive dismissal claim which has failed. (6) The claim for race discrimination is dismissed on withdrawal by the claimant. Case Number: 3201972/2018
# REASONS
**1** The hearing got off to a shaky start. The tribunal could only find one lay member to hear what we still thought was a race discrimination complaint. The respondent was anticipating a race discrimination complaint at this hearing. When they received the claimant’s witness statement they found no mention whatsoever of race discrimination so they queried this. Finally, it has only been clarified at the start of the first day of the hearing the claimant is not pursuing a race discrimination complaint any more, and has withdrawn that claim. What was left was therefore the constructive unfair dismissal and the freestanding money claims, all of which could, and should, be heard by a Judge sitting alone.
**2** The claimant worked for the respondent, ISS Facilities Services Ltd and its predecessor (Mite) on this contract, from 31 May to 3 September 2018. He resigned by letter dated 9 August 2018 stating that the 3 September 2018 would be his last day of work.
**3** He worked at 1 Churchill Place, the global headquarters of Barclays as a security guard on a salary of £27,000 per annum on a 48-hour week. Typically, he carried out day and/or night shifts 12 hours 4 on 4 off, changing at 7am and 7pm.
**4** ISS has a very large contract with Barclays International in 1 Churchill Place. They provide not just security but catering, cleaning, logistics and engineering services. ISS is an international Danish based company. They have a global contract with Barclays in 24 other countries; spend is about £350m globally; £150m in the UK.
**5** It is above the usual run of security operations. I have been shown the “daily Roll Calls” for the dates 24 March 2017 and 9 March 2018. Just give an example, the 24 March Roll Call in 2017 mentioned the very recent Westminster Bridge terrorist attack and also highlighted that there may be anti-fracking protesters visiting 1 Churchill Place. There is often photography of people who are seen possible security threats whose security guards need to report to the security control room if they are seen within the building vicinity. The 9 March report mentioned urban explorers, people scaling buildings at the Marriott nearby, and a man presumably a customer, who had threatened to take his own life on Barclays premises. He said he had not been repaid money he said was owed. There were also possible bomb threats. At that stage the national threat level for terrorism had been reduced from critical to severe.
**6** The claimant’s line manager was Mr Dave Gooda who in turn reported to Paul Bowler. Above him was Ray Perotte, UK Corporate Director for ISS Barclays who reported to James Lester who at the time was the Managing Director for ISS Barclays UK. I have heard from all those individuals apart from Mr Bowler. They were all witnesses at this tribunal.
**7** On a rough count of heads there were 12 guards approximately on the ground floor at any one time. The layout is that their Security Operations room is at Level minus 2, the Security Control room is at minus 1. Mr Gooda spent most of his working day in the Security Operations room at minus 2. At that level there is the guards’ Mess Room, and all the ISS staff lockers.
\<page_number>2\</page_number> Case Number: 3201972/2018
8 The claimant and the respondent's witnesses agree that about 50% of people coming into the building come in through the swing bridge which is on the west side of the building. About 30% come in through the elevators which are on the south west side, which connects to Canary Wharf Jubilee Line tube, and 20% enter through the rotating doors which is the main front entrance.
9 In the middle of the floor is an oval shaped reception desk which has 5 or 6 receptionists on it. There are 3 banks of lifts (as not all lifts serve all floors). Each bank has a security guard standing on duty outside the electronic access barriers that lead to the banks of lifts from the main reception floor area.
10 There were 5 or 6 receptionists in the main central reception; then 2 on the Wealth desk, 1 on the Events desk just inside the west swing bridge entrance and 1 on the south-east corner at the Tenants desk access.
11 The claimant did not have a good disciplinary record. As stated above, Barclays faces security threats on an almost daily basis; either personal to Barclays, or more generalised terror threats. The vigilance level is set high. I was shown a succession of site memos, and I have seen rotas.
12 Staff are rostered to different positions every 1 hour of their 12-hour shifts. Once security guards are in their positions, they cannot be relieved unless they have consent from a supervisor or manager. If they need the toilet, they need to notify the Security Control room to be relieved. They have to keep their radios on all the time. They must be at their positions at the time they are due to start in those positions.
13 All staff have 2 paid breaks in the course of a 12-hour shift, so they never work more than 4 hours without a break for the purpose of working time legislation. There is an obvious rule about mobile phones, iPlayers, DVD players, and laptops etc. They are not to be used while on duty regardless of position. All personal bags are to be left in the staff lockers. (The claimant’s mobile phone will come relevant in the 9 March 2018 incident described below). If the rules were to be stated in a nutshell, staff have to be smartly presented, punctual and vigilant at all times. The site is open, and covered by security 24/365.
14 Ryan McLaughlin took over the claimant’s line management around June 2014. This was long after ISS took over from Mitie in October 2012.
15 On 6 June 2014, Mr Martin, then the Security Control room manager, stated that he had seen the claimant sleeping in the car loading bay. Mr Martin asked why he was not in position at the reception area. Apparently, the claimant flew into a rage so Mr Martin reported this as totally unacceptable behaviour. It was on a night shift. (This was part of a pattern that will emerge in the narrative that the claimant seems capable of flatly denying incidents that have been caught on CCTV, and by photographs. There was a picture of the claimant asleep in the car loading bay in the security cubicle).
16 For lower level and early issues of breach of standards the respondent issues “advice and counselling forms”. If it goes beyond that matters will be escalated to formal disciplinary investigation under the respondent’s disciplinary policy. This is what
\<page_number>3\</page_number> Case Number: 3201972/2018
happened to the claimant for the sleeping incident.
17 Mr McLaughlin was the Security Control Room Manager for ISS Barclays. He had an investigation meeting on 17 June, this was recorded on a pro forma investigation meeting template in the presence of a formal note-taker. The claimant completely denied that he was asleep despite the fact his eyes appeared in the photograph to be tight shut. (This was a case where Mr Martin had taken a photograph of the claimant, it was not just a matter of using stills from the CCTV).
18 There was a disciplinary hearing held on 7 July at level minus 2. The charges were:
18.1 being asleep on 5 June at 23:55;
18.2 not being on position on 6 June at the main reception area at 00:35; and
18.3 total lack of respect for the manager on site.
19 As there was no other witness to the claimant allegedly losing his temper with David Martin, the disciplinary officer, who in this case was Dave Gooda, the Security Operations Manager, did not make a finding but he upheld the other 2 allegations - being asleep and not being in position. He imposed a final written warning dated 15 July 2014 which would remain active for 12 months.
20 The claimant appealed against that warning by letter of 19 July. He made points about “..... data protection, the privacy in electronic communications, EC Directive Amendment Regulations 2011, laid before Parliament 5 May 2011, coming into force 26 May 2011”. I only quote that because it has been of a piece with certain submissions made by and on behalf of the claimant later at this hearing. The alleged breach of data protection is the act of taking photographs of him. (There was subsequent photographing of him allegedly using a mobile phone on duty).
21 Later the claimant withdrew his appeal against the final written warning, by notice of 3 August:
“From all the evidence before me and with the utmost love and respect, I have decided that the security and success of all employees at Barclays and other companies operating at 1 Churchill Place are paramount and are therefore glad this issue closed with immediate effect from today.”
22 That final written warning expired despite the fact there was a further misconduct of a very different character when the claimant persistently bothered Chris Stocker, the Scheduler, concerned that he was not getting enough pay and other scheduling issues so much so that Chris Stocker told the claimant to take it up with Ryan McLaughlin, as he could not deal with it.
23 The claimant’s response again was to completely deny this. The charge was that on 27 February 2015:
“Michael, although asked by the Scheduler to see me, continued to badger the Scheduler in reference to his missing pay. Although I sympathise with Michael he must go through the correct channels and not badger other staff who are powerless to help him”.
\<page_number>4\</page_number> Case Number: 3201972/2018
24 The claimant's response, written empathically in capital letters, was: "IT IS A LIE I NEVER FOUGHT ANYBODY OVER MY PAY". A decision was made not to trigger the final written warning on this because it was of a different character and could be seen as relatively low level. It did not relate to a security breach which is the most serious.
25 Two further minor incidents were noted: (1) for his appearance having his hands in his pockets on duty, and (2) wrongly stopping a car when it was on the list issued of authorised car park users. The claimant this time apologised and stated it was due to an oversight. It was the first time this had happened with him and he apologised to the car-user in question. Again, this was not a security breach – the opposite.
26 In April 2016, there was a further incident where the claimant had been spotted reading a magazine leaning against a wall, neither of which is permitted. He was taken to a formal investigation meeting with Mr McLaughlin where he showed him CCTV footage showing that he was reading a magazine for 15 minutes and the claimant completely denied it. He denied knowing that he was not allowed to lean on duty, and stated he was only scanning the magazine in order to read it later on his break.
27 Nonetheless as it involved a security breach, and lack of vigilance, Mr McLaughlin recommended it go forward to a disciplinary hearing. It did, and took place again before Dave Gooda, Security Operations Manager, and the outcome was a first written warning on 5 May 2016. Despite his initial denial of the charge he displayed regret and remorse at that disciplinary hearing otherwise the sanction might have been more severe.
28 Then there was a further incident, less than a year later, in March 2017. This incident had been reported by Ray Peyrotte who is the UK Corporate Director for ISS Barclays, based at 1 Churchill Place. It was Mr Peyrotte's practice to walk around 1 Churchill Place checking that standards were being adhered to across all the services that ISS supplied to Barclays.
29 There had been 2 consecutive days, 23 and 24 March 2017, and it was exactly the same problem both days, the claimant was meant to be on duty at the Events desk, just inside to the left of the west swing bridge entrance. Apparently, the optimum position to stand is where you have visibility of the access barriers to the left, the events reception itself, and then across the main floor, with total all round vision of the swing bridge entrance, the Events desk, and the full floor. On this occasion he found the claimant leaning on the events desk apparently talking to the Events receptionist there called Kasia, laughing and joking. That is what Mr Peyrotte reported. He told the claimant he should be where he could see the west swing bridge, not with his back to it. The claimant had said something about handing back passes that had been handed in, and protested his innocence. Mr Peyrotte told him it was not acceptable.
30 The following day, the claimant was rostered there again and, at almost exactly the same time of day, 17:45 when Mr Peyrotte came down in the lift, he walked round to events reception and noticed that no-one was on the post where the claimant should have been. He was again at events desk chatting to the receptionist and facing away from the west swing bridge entrance. This prompted Mr Peyrotte to send an email to Messrs McLaughlin and Gooda, on 3 April, recommending the incidents be formally
\<page_number>5\</page_number> Case Number: 3201972/2018
addressed.
31 The claimant was very clearly caught on CCTV, and the stills were included in the tribunal bundle. It was 2 days after the terrorist attack on Westminster Bridge, when there were still known terrorist threats. Guards had to report identified suspects if they entered the buildings. The claimant was shown the CCTV coverage in the course of an investigation meeting with Mr McLaughlin who again recommended it go forward to a disciplinary hearing, which it did, again in front of Dave Gooda.
32 One needs to point out that Mr Peyrotte, from whom the information against the claimant came, is himself black. The claimant is of black Nigerian origin. Mr Peyrotte is black, of Caribbean origin. The claimant later referred to antagonism between Jamaicans and Nigerians as, coincidentally, it was Mr Peyrotte who is a senior manager, who just happened to have seen the claimant in breach of security on 2 consecutive occasions in March 2017, and then again in 2018 (below). This is how the race discrimination complaint originated although, as stated above, it is no longer pursued here. It was mentioned and developed by the claimant in workplace procedures, both disciplinary and grievance.
33 The upshot of the 2016 disciplinary process was that Dave Gooda issued a final written warning which was due to expire on 4 May 2017. These new incidents were within one year of the first written warning for reading a magazine and leaning on the wall. Mr Gooda’s decision to issue the final written warning was that it was conduct of the same character exactly – failure to pay attention whilst on duty – aggravated by the fact that it took place over 2 days when Mr Peyrotte had warned the claimant on the first of those 2 days.
34 The claimant says that following the final written warning in 2016 he never appealed. He stated that Dave Gooda had said to him it would only stay on his file for a year and that he should just forget about it. Dave Gooda at this hearing emphatically denies that accusation and says he would never advise one of his security guards in that way. The guards have a right of appeal and that right is real. They must be allowed to exercise it without being dissuaded or improperly influenced by management. I accept Mr Gooda’s evidence. As an apparently professional and conscientious manager, he takes his role seriously. He is responsible for hundreds of staff.
35 The next incident was on 9 March 2018. It was between 1 and 2pm on turnstile 1 which is by the access barriers to the low-rise lift bank on the left-hand side as you look at it from the main front revolving doors. The purpose of that duty is to mind the barriers to ensure that nobody tailgates someone through the barriers’. It was a day when there were specific threats on the rollical which the guards had to look out for, including an individual threatening to take his own life, and another who wanted to bring the media with him.
36 Mr Peyrotte was sure he could see the claimant looking at his mobile phone apparently oblivious to what was going on around him. Mr Peyrotte noticed he was looking at it in a sustained way from the time he was spotted and moved towards him and took 3 photographs without the claimant knowing. He says he took the photographs because he was unsure of the precise position of the CCTV in that area,
\<page_number>6\</page_number> Case Number: 3201972/2018
and did not know what the coverage would be. The CCTV had turned out to be good for the purpose of the events desk incident the previous year. It turns out it was not so good for this because the only cameras were mounted on the wall of the lift bank, on the far side of the barriers and would only catch the claimant's back. Mr Peyrotte took 3 photographs as he moved towards the claimant. They are grainy because they are digitally zoomed on his phone. But it looked like a black mobile phone in the claimant's hand, from the photographs which had been included in the bundle I was given. The claimant appears to be reading it in the photos.
37 Mr Peyrotte has been clear throughout these proceedings, and I accept his evidence, that the reason he took these photographs specifically was that in the incident of the previous year he had effectively been accused of lying about the claimant's whereabouts despite the clear CCTV evidence of the claimant leaning against the reception desk. He was therefore aware that the claimant was most unlikely to make any admissions.
38 The claimant has made a huge issue in these proceedings of breach of his privacy and data protection by the act of taking a picture of him on a mobile phone. He also, bizarrely, invokes the fact that the public are not allowed to take pictures within 1 Churchill Place. Yet, it was different for Mr Peyrotte. Obviously, he is a senior manager with a works mobile and frequently takes pictures all around the building if he wants to report faults with lifts, leaks, or, on this occasion, staff breaches of security. (Without getting too far ahead of myself I considered that the claimant's argument over privacy and data protection to be hopelessly flawed as I explain below).
39 Mr Peyrotte asked the claimant's line management to take it on. It was not for a manager as senior as Mr Peyrotte to take it on himself. Mr Gooda asked if Mr McLaughlin could once more investigate. He had already been called away on some emergency so he asked Michael Alexander, who was an Access Control Manager, at Barclays. He carried out an investigation. Mr Gooda asked Mr Alexander to look at the CCTV and he noted that on the CCTV footage the claimant had taken out something from his pocket and, seen from the back, he put it away. But he took it out again and then appeared to look at it again for between 1 and 2 minutes before putting it away. Apparently, he had just been looking at it, and not doing much else. There was no conspicuous tapping, as there might be for composing a message.
40 At the stage Mr Alexander had been looking at the CCTV, the claimant was on one of his 1-hour breaks between 2 and 3pm. He was at Level minus 2 in the Mess Room. Mr Alexander asked him to come with him. They had an investigation meeting lasting 20 minutes. The claimant said he had looked at his phone to look at the time. This was a significant thing to say, because later he denied that it was a mobile phone at all. He said he needed his phone to see the time because his watch was not working.
41 He said he was not sure if it was him in the CCTV footage despite the fact that the rota put him there on that position at that time. You can see enough in the background to the photograph to recognise where the claimant was standing. You could see the barriers/turnstiles in the picture. The claimant said he was looking at his phone for 1 or 2 seconds. However, the was shown the same CCTV that Mr Alexander
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had reviewed which suggested he was looking at it for 1 – 2 minutes.
42 The notes of that meeting were taken by Chris Stocker referred to above, he was the site Scheduler (to whom the claimant had allegedly made complaints about his pay and other scheduling issues back in 2015).
43 During the course of this hearing and for the first time the claimant has suggested that the handwritten notes of Chris Stocker that are included in the bundle are “tergeries” (sic). Mr Alexander formed the view that the claimant was not being honest again because the CCTV footage shows, even though from a distance, the claimant was looking at the object for between 1 and 2 minutes.
44 The claimant’s account of the “phone” varied greatly during the course of proceedings and this hearing, which did nothing for the claimant’s credibility. At the end of the meeting on 9 March the claimant was suspended. This was confirmed to him by a later letter on 14 March.
45 Subsequently, Mr Alexander carried out another investigation. The reason for a second investigation was that he contacted Emily Whitehouse-Ford of HR to check that he was doing this the right way. Ms Ford suggested to him that there be an extra investigation in order to check whether the claimant knew about the site rules and just to give the claimant a chance to reflect on his conduct, and another chance to explain himself. So, there was a further investigatory interview on 6 April at 5pm, this time noted by Mark Hall who was another Security Control Room Manager similar to Mr McLaughlin.
46 The claimant was shown the photographs and denied it was him. He denied it was a mobile phone as the picture was not clear. He said he never took his phone out of his pocket. He said he never brought a phone to work, and that it could not have been him holding a mobile phone, because he does not have a phone that works and it had been locked since 2016. Exactly what the claimant meant by “locked” is not clear. He did not seem to me, on questioning him, to know what he meant by it himself. It is certainly not what most people understand by the word “locked” in the context of a mobile phone (linked exclusively to one network). The claimant later suggested the phone was not connected to a network at all.
47 The claimant confirmed in answer to a specific question that he did understand that mobile phone use was not permitted while on duty and that he recalled he had signed the documents stating that he knew it was not permitted – the memorandum referred to above which is clearly signed by him in the bundle. Allegedly, according to Mr Alexander, the claimant started ranting and repeating himself. The meeting became heated, so Mr Alexander brought it to a close. He recommended to Mr Gooda that there was a disciplinary case to answer.
48 It has been a controversy at this hearing as to whether Mr Gooda instructed Mr Alexander to suspend the claimant earlier on 9 March. On balance I find that Mr Gooda, who was very used to this process, asked Mr Alexander to investigate with a view considering suspension on 9 March. Much was made of the policy that no disciplinary action can take place until full investigation has been done. In this case I consider there was adequate investigation on the 9 March when the suspension took
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place.
49 The second investigation meeting on 6 July just strengthened the case against the claimant in that he was now seen to be giving inconsistent explanations and coming nowhere to admitting what seem overwhelmingly likely, given that the photographs show him looking at some device with his head angled to read that device, by the turnstile/barriers for the low-rise lifts, turnstile 1. He told Mr Alexander at the second disciplinary hearing that he had never owned a black phone and he pulled out a white iPhone.
50 The claimant was subsequently invited to a disciplinary hearing on 8 May by letter of 1 May. Subsequently he sent a formal written grievance on 4 May in advance of the scheduled disciplinary hearing.
51 The grievance was drafted by Duncan Lewis Solicitors, Harrow. In it there was the remarkable suggestion that the claimant was not holding a phone at all but a calculator. The claimant was insistent that everyone should see this calculator at this tribunal hearing. Oddly, it is a scientific calculator, with cube roots, tangents cosines and other trigonometrical and algebraic functions, and π. He told the Judge in answer to questions that he has that calculator because he has a BSc in financial economics from Birkbeck University of London and he uses it for “financial engineering” calculations. The calculator is black and looks similar, judging only from the appearance of the photographs, to the object in the claimant’s hands there.
52 It was not in the body of that complaint but only later in interview with Ciaran Greaves that the claimant raised the question of race discrimination by Mr Peyrotte. He has developed that allegation against Mr Peyrotte at this hearing saying that Mr Peyrotte was responsible for getting him his final written warning. Mr Peyrotte knew what the 12-month period was, and had been determined to catch the claimant out sometime within the 12-month period to bring about his dismissal. He described in detail the animosity between Jamaicans and Nigerians. He relates it back to the history of slavery.
53 Mr Greaves is a very senior manager. He is the ISS Global Operations Director now providing services to HSBC. Before that, he worked as the Account Director for ISS Barclays contract for Europe and Middle East. As the grievance was against a senior manager, Ray Peyrotte, it had to be conducted by a more senior manager, hence Mr Greaves.
54 For the same reason, (and I asked Ms Ford about this), the disciplinary process was parked pending resolution of the grievance. I said to Ms Ford that was quite kind of the respondent. She said she agreed, and that it would not always be their way, but on this occasion, since the claimant had complained about such a senior manager, it seemed the better course to take.
55 At an investigation hearing before Mr Greaves on 24 May, the claimant added the further allegation that Mr Alexander had grabbed him by the collar when taking him to an investigation hearing. The investigation extended then, to see if there were any witnesses to such an event. It turns out there had been. This occasion was also witnessed by another security guard who had been in the mess room called Kamal
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who coincidentally was Nigerian too. She gave a statement to Ms Ford saying that she was not at all aware that Mr Alexander had grabbed him by the collar. That is why that other element of grievance was not upheld. Mr Greaves interviewed Ray Peyrotte and the claimant for the purposes of his hearing.
56 Mr Greaves sent an outcome letter on 31 May upholding none of his complaints. I can take this quite swiftly as there is no longer a complaint of race discrimination. It was anyway a very weak complaint because there were other Nigerian security guards who were not targeted. Furthermore, it is interesting that the earlier photograph that had been taken in 2014 of him asleep in the security hut had been taken by a white individual, and he never mentioned a race complaint then despite his outrage at the breach of privacy / “data protection”. He seemed to consider that one person texting that photograph to another person involved “putting the photograph on the internet”, which is a weird perception of the normal workings of mobile telephones and IT generally (barring sophisticated hacking which is not suggested here).
57 Following that outcome letter, the claimant appealed. The appeal was heard by James Lester was a witness at the tribunal. He was the Managing Director for ISS Barclays in the UK, at the time of the grievance appeal. The grievance appeal was submitted again from Duncan Lewis. The appeal meeting took place on 5 July. Again, the claimant was unrepresented (Duncan Lewis were not permitted to represent the claimant). The claimant stated that none of his colleagues were prepared to get involved.
58 The only concession Mr Lester made was in relation to the taking of the photograph. The respondent has, in fairness, been more uneasy about it than I was. Mr Greaves said:
“when the picture was taken and sent it was not deemed to be a breach of data protection because the picture was necessary and in relation to work for internal company processes”.
Mr Lester stated:
“In my view this point is very clear and you were unable to demonstrate that there should be a different view. However, I would not want it to be normal practice for photographs to be taken of any employee and I would raise this with my UK management team.”
It is clear that the claimant put forward no evidence for his grievance appeal. It was dismissed.
59 Thus, by letter of 8 August the disciplinary hearing was formally restarted. At this stage the respondent knew the claimant was claiming that it was in fact a scientific calculator and not a mobile phone in his hand. The restart letter again referred to it as a “mobile phone”, a point of which much was made at this tribunal hearing. Ms Ford explained, to my mind perfectly satisfactorily, that the grievance process and the disciplinary process were separate processes. The respondent did not want to import evidence from one process into the other process. It was up to the claimant to raise it at a disciplinary hearing if he was about to say that it was not a mobile telephone, as he never raised the calculator point until the grievance meeting, (not even in the grievance letter). It was first raised orally at the grievance hearing with Ciaran Greaves.
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60 It cannot be any coincidence that the day after the disciplinary process restarted, on 9 August 2018, the claimant resigned by a letter addressed to James Lester. He made the same complaint about data protection. The focus of his resignation letter was on Ray Peyrotte. The claimant has a way of lapsing into grandiloquent legalese when writing such letters. The resignation letter clearly came from him and not from Duncan Lewis. He attached to it a lot of the disciplinary evidence that had been used against him, including rotas, video stills from the March 2017 incident but oddly none of the photographs relating to the latest incident with the phone / calculator.
61 The resignation letter clearly states that the claimant’s last day of employment would be 3 September. Why he chose that date, goodness knows. It is not as if he had another job to go to. He did not, as we have been told.
62 Despite the claimant’s resignation, a disciplinary hearing was nonetheless held by Chris Phillips who was not a witness at this tribunal, but he provided a witness statement for the tribunal. The claimant had elected not to attend the disciplinary hearing. Mr Phillips sent a disciplinary outcome letter on 28 August 2018 which contains the important conclusion as follows:
"However, based on previous investigation minutes on 9 March where MO accepted that he used the phone on duty, on balance I believe this is MO and that he is distracted from his duties whilst on position, whether holding a phone or a calculator...
Furthermore, I do believe MO’s honesty and integrity are called into question by the fact that his first 2 investigations had conflicting answers and then today again a further conflicting statement with regards to holding a calculator whilst on duty. This is something I would have wanted to cover further with MO. I have also taken into consideration MO’s previous disciplinary records that shows this is not an isolated incident ...
I recognise that MO has resigned with notice with his final day of employment being 3 September 2018 also that at the time of the incident on 9 March 2018 MO also had live final written warning on his record. Therefore, on balance my decision would fall to a contractual dismissal but due to 4 working days being left off his notice I have decided to accept his resignation and run on that basis and not formally dismiss due to this."
63 There have been several serious credibility problems for the claimant, other than the ones mentioned above. The claimant stated categorically at this hearing that he had never failed to attend a hearing the respondent. Whatever the reason for it, that is simply not true. There was no need, in the logic of his case, for him to commit to a statement like that.
64 On the disciplinary hearing for the 23 and 24 March incidents (where the claimant was leaning on the events desk chatting to the receptionist), the claimant did not attend. Originally there was a hearing set for 7 April, the claimant asked for a postponement to seek legal advice, the hearing was re-arranged for 24 April and the claimant was also asked to send in amended investigation notes if he challenged them and told him that if he did not attend the re-scheduled meeting a decision would be made in his absence. He simply did not attend. Mr Gooda contacted the Security Control Room to see if the claimant had called in and, having been told that he had not, he went ahead with the hearing in the claimant’s absence.
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65 The claimant’s explanation of this at this hearing was quite extraordinary and impossible to accept. He said that he had been at work on duty in the car park and that if he had left his position in order to attend a scheduled disciplinary hearing he would have been sacked on the spot. That evidence is weird. It is obvious that if the Security Room did not know that he had a scheduled disciplinary hearing to attend that he should have radioed and said that he had a pre-arranged meeting with Dave Gooda to attend. Cover would have been arranged for him to be relieved from car park duty. The claimant left the tribunal with the impression that he simply ducked attending that hearing hoping he might later challenge it by the fact that he had not been relieved from duty (even though he never asked).
66 Other aspects of the claimant’s evidence at the hearing were bizarre. The claimant was asked why he had not said to Michael Alexander at the first 2 investigation hearings Mr Alexander conducted that it was a calculator he was holding and not a phone at all. He responded “nobody asked me if it was a calculator”. That was a ridiculous statement. That it should have been a calculator was so inherently unlikely, that to suggest somebody should proactively have asked whether it was a calculator is laughable.
67 Very few people carry calculators of that sort in their pockets, particularly at work. His explanation got more convoluted as this tribunal hearing progressed. There was an account about swapping a coat with an agency guard because some of the duty had been out of doors and there was snow on the ground and it was a heavy uniform coat and he had had to remove items from the pockets. He said his own pockets were full, he has his pocket bible, his personal diary and his pockets were completely full which is why he had to have the calculator in his hand. His jacket hip pockets were sewn up to prevent unsightly bulging in the uniform. Only the breast pockets could be used. I repeat this merely to show I was listening. I found the claimant’s account nonsense. Further, it served no useful purpose, even on the claimant’s own logic.
68 On that evidence I have to decide if the claimant was unfairly constructively dismissed. First, was he constructively dismissed? Did the respondent commit a repudiatory breach of contract? I cannot see anything remotely approaching a breach of contract. 69 Even though the respondent has expressed misgivings about the taking of photographs of the claimant. It was not the first time it had happened. It had happened previously in 2014 in exactly the same context and given that the claimant had a history of denying the undeniable. Nothing much less than a photograph would constitute enough evidence for disciplinary purposes.
Conclusions
70 On the law, the tribunal’s task is to decide whether the claimant was constructively unfairly dismissed under s 95(1)(c) of the Employment Rights Act 1996. He is relying upon a breach of the well-known implied term of trust and confidence, (BCCI v Mailk [1997], IFLR, 482, HL), arising from an alleged succession of breaches of contract. 71 The alleged last straw, if there is one, appears to be re-starting the disciplinary process against the claimant. The case of London Borough of Waltham Forest v
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Omilaju [2005], ICR, 481, CA is therefore in point here, as is the more recent affirmation of it in *Kaur v Leeds Teaching Hospitals NHS Trust* [2018] EWCA Civ, 978, CA. The alleged last straw here was amply justified, given the antecedent history. It had been on hold for a long time in order to accommodate the claimant’s grievance.
72 There is a high threshold test for causation under s 95(1)(c) of the Employment Rights Act 1996. The employee must be “entitled to terminate without notice by reason of the employer’s conduct”.
73 Constructive dismissal is judged from the claimant’s point of view with the major proviso that that point of view must be objectively reasonable. I consider that the claimant’s point of view was palpably not, as should be clear from the descriptions above.
74 Under Section 95(1)(c) of the Employment Rights Act 1996, therefore, the claimant has to be entitled to resign ‘without notice’. (See *Western Excavating (ECC) v Sharp* [1978], IRLR, 27, CA). Constructive dismissal is the mirror image of gross misconduct by the employer, not the employee. Gross misconduct is also defined as a fundamental breach of the contract of employment. Statistically it is a rare thing to find constructive dismissal at this tribunal. This comes nowhere near to that. The employer’s conduct towards the claimant was patient and restrained, given his persistent and obvious breaches of security.
75 Mr Tahzib, generously, submitted that the claimant appears to rely on 6 breaches in this case. I accept his analysis for the purposes of my own findings: -
75.1 failure to deal with the claimant’s grievance;
75.2 failure to address his complaints regarding loss of pay;
75.3 the respondent suspending the claimant for an unreasonable length of time;
75.4 the respondent inviting the claimant to a disciplinary hearing based on an allegation which they knew was inaccurate (phone not calculator);
75.5 the respondent not informing the claimant if or how using a calculator was a disciplinary offence (calculator not mentioned in the signed memorandum);
75.6 the respondent not subjecting Mr Peyrotte to a disciplinary process for taking a photograph of the claimant.
76 Taking these in turn, the respondent did not fail to deal with the claimant’s grievance; they dealt with it comprehensively, at a high management level, and were fully professional, answering every point the claimant raised. Furthermore, the disciplinary process was completely put on hold pending disposal of the claimant’s grievance and the grievance appeal. The claimant does not say how the respondent could have done better, (other than the outcome).
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77 Regarding the pay query, breach no. 2, this was more complex. When on suspension, the claimant was paid full basic pay. It has been established from the contract that overtime, of which the claimant did much in the past, is not a contractual entitlement. Therefore, he was not entitled to earn averaged out overtime on suspension pay as he might have been in a claim for accrued averaged out holiday pay under EU law. Because he worked 4-on 4-off shifts, his fortnightly payslip total was hardly ever the same. He worked for the A team. When he was off on suspension he was tracked to the A team. Because the suspension had lasted for 6 months from 9 March 2018 to 3 September, the last day worked, the claimant had 6 months’ pay due at basic rate.
78 I advised the parties that the most accurate way to analyse this would be a fortnight by fortnight tracking of the A team, to check if, in every 6-month period, he would have half a year’s basic pay. This exercise resulted in the partial success of the claimant’s arrears of pay claim as above. It depended on the precise incidence of dates when the suspension started (relative to the 4-on / off shift pattern) and when dismissal took effect.
79 However, the basis of this assessment was first suggested by myself. It was never part of the claimant’s allegation about underpayment which was a far more extravagant one, and without any legal merit, because he had failed to appreciate the necessary discrepancy in fortnightly payslips that resulted from the 4-on / off pattern and how it meshes in with individual calendar fortnights. His was a completely misconceived contention.
80 The respondent was not in breach of that, but the exercise suggested by me revealed that there was a discrepancy, although way smaller than the claimant was claiming. In that event I do not consider the respondent to be in breach of the term to pay the claimant correctly in any substantial or fundamental way. It was a technicality. The claimant simply failed to understand the basis of his pay periods and put a false case to the respondent, which they rightly resisted, even though there was ultimately an arithmetical discrepancy on a final, and wholly different, analysis.
81 The point of this, for the purpose of constructive dismissal law, is that the actual discrepancy cannot, subjectively, have been the cause for the claimant resigning because the claimant was claiming far more, on a false basis: “If hypothetically, he had put my analysis to the respondent, they would doubtless have readily agreed, as they have here. The causation for a resignation is one of the indispensable Western Excavating criteria for constructive unfair dismissal. This alleged breach therefore fails.
82 Breach number 3 is the respondent suspending the claimant for an unreasonable length of time. I cannot possibly uphold that. The claimant asked for certain delays for his own benefit, but above all, he decided to raise a grievance, they generously decided to take the grievance first, at a high level of management, and to deal with it completely, including an appeal before re-starting the disciplinary process. This was all to the claimant’s benefit. He would have been quick to complain if they had not done so.
83 Allegation 4, about the phone / calculator, is a ridiculous allegation. It is technical, over-literal, and nugatory. Just because the policy states because the signed memo states: "Mobile phones, iPlayers, DVD players and laptops etc. are not to be used
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while on duty regardless of position". How that would not include scientific calculators by the use of the word "etc", I do not know.
84 Allegation 5 is just as ridiculous. Holding anything that distracts one and stops one from being vigilant is a disciplinary offence. Mr Gooda apologised to the tribunal for his seeming flippancy when he said: "It could have been a bunch of bananas". The point is the claimant was distracted and not vigilant while on duty.
85 Breach 6 was not subjecting Mr Peyrotte to disciplinary process. This, again, is an absurdly extravagant alleged breach. Mr Peyrotte was not in breach of data protection so far as I can see, nor as Mr Greaves or Mr Lester could see. All his actions were in the course of work, for legitimate (disciplinary) business purposes. The information was treated in confidence. The claimant's image was not 'put on the internet' as explained above. It was texted via SMS to local management. Any third party seeing those grainy pictures would not have understood their significance without the context of security, and could hardly have cared less. That whole contention is hyperbole.
86 The claimant has not come anywhere near to establishing a breach of any sort let alone a fundamental breach of his contract of employment, either cumulative or on individual breaches. His claim for constructive dismissal therefore fails.
87 It was accepted by the end of this hearing that the claim for accrued holiday pay must fail because it could be seen that the claimant was paid his full entitlement up to and including 3 September, his chosen termination date.
88 I have dealt with the arrears claim, and how that was worked out over a 6-month period of the claimant's suspension, worked out precisely fortnight by fortnight, and day by day, tracking the A team, the claimant's team.
89 It is clear from the claimant's contract, a Mitie contract, that there was no contractual right to overtime. Overtime pay could therefore not be included in the claimant's suspension pay.
90 For all those reasons the claimant's claims other than the above claim for arrears of pay all fail and are dismissed.
Employment Judge Prichard Dated: 02 December 2019
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<img>dcms department for culture, media and sport logo</img>
DCMS Ministerial hospitality, overseas travel and meetings with outside interest groups
1 January 2011 to 31 March 2011
<img>improving the quality of life for all logo</img>
\<page_number>1\</page_number> DEPARTMENT FOR CULTURE, MEDIA AND SPORT
QUARTERLY INFORMATION 1 January 2011 - 31 March 2011
GIFTS GIVEN OVER £140
<table>
<thead>
<tr>
<td colspan="4">Secretary of State, Rt Hon Jeremy Hunt MP</td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value</td>
</tr>
</thead>
<tbody>
<tr>
<td>Nil</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Minister for Sport & the Olympics, Hugh Robertson MP</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value</td>
</tr>
<tr>
<td>Nil</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Minister for Culture, Communications & Creative Industries, Ed Vaizey MP (DCMS)</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value</td>
</tr>
<tr>
<td>Nil</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Minister for Tourism and Heritage, John Penrose MP</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Date gift given</td>
<td>To</td>
<td>Gift</td>
<td>Value</td>
</tr>
<tr>
<td>Nil</td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
GIFTS RECEIVED OVER £140
<table border="1">
<thead>
<tr style="background-color: #f0f0f0;">
<th>Date gift received</th><th>From</th><th>Gift</th><th>Value</th><th>Outcome</th>
</tr>
</thead>
<tbody>
<tr><td>Nil<br>Minister for Sport & the Olympics, Hugh Robertson MP<br>Date gift received<br>From<br>Gift<br>Value<br>Outcome<br>Nil<br>Minister for Culture, Communications & Creative Industries, Ed Vaizey MP (DCMS)<br>Date gift received<br>From<br>Gift<br>Value<br>Outcome<br>Nil<br>Minister for Tourism and Heritage, John Penrose MP<br>Date gift received<br>From<br>Gift<br>Value<br>Outcome<br>Nil</td></tr>
<tr><td colspan="5"></td></tr>
<tr><td colspan="5"></td></tr>
<tr><td colspan="5"></td></tr>
<tr><td colspan="5"></td></tr>
<tr><td colspan="5"></td></tr>
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<tr><td colspan="5"></ td/></table>
\<page_number>2\</page_number> HOSPITALITY¹
<table>
<tr>
<td>Rt Hon Jeremy Hunt MP, Secretary of State</td>
<td>Name of Organisation</td>
<td>Type of Hospitality Received (include an asterisk against the entry if accompanied by spouse/partner or other family member or friend) *</td>
</tr>
<tr>
<td>13 January 2011</td>
<td>Roland Watson - The Times</td>
<td>Lunch</td>
</tr>
<tr>
<td>18 January 2011</td>
<td>Princes Trust</td>
<td>Lunch</td>
</tr>
<tr>
<td>25 January 2011</td>
<td>Michael Crick, BBC</td>
<td>Lunch</td>
</tr>
<tr>
<td>25 January 2011</td>
<td>Charles Moore, The Telegraph</td>
<td>Drink</td>
</tr>
<tr>
<td>26 January 2011</td>
<td>Burson Marsteller</td>
<td>Dinner</td>
</tr>
<tr>
<td>27 January 2011</td>
<td>Los Angeles Philharmonic</td>
<td>Ticket to Concert</td>
</tr>
<tr>
<td>7 March 2011</td>
<td>English National Opera</td>
<td>Dinner *</td>
</tr>
<tr>
<td>16 March 2011</td>
<td>Classic FM</td>
<td>Tickets to Concert *</td>
</tr>
<tr>
<td>19 March 2011</td>
<td>Irish Embassy</td>
<td>Overnight accommodation*</td>
</tr>
<tr>
<td>24 March 2011</td>
<td>David Frost</td>
<td>Lunch</td>
</tr>
<table>
<tr>
<th>Hugh Robertson MP, Minister for Sport & the Olympics</th>
<th>Date</th>
<th>Name of Organisation</th>
<th>Type of Hospitality Received</th>
</tr>
<tr>
<td></td>
<td>12 January 2011</td>
<td>Royal Yachting Association</td>
<td>Lunch</td>
</tr>
<tr>
<td></td>
<td>16 January 2011</td>
<td>English Institute of Sport</td>
<td>Dinner</td>
</tr>
<tr>
<td></td>
<td>18 January 2011</td>
<td>MCC</td>
<td>Dinner</td>
</tr>
<tr>
<td></td>
<td>24 January 2011</td>
<td>Evening Standard</td>
<td>Lunch</td>
</tr>
<tr>
<td></td>
<td>29 January 2011</td>
<td>GB Rowing</td>
<td>Dinner</td>
</tr>
<tr>
<th></th><th>February 2011</th><th>IOC</th><th>Dinner</th></tr><tr><th></th><th>8 February 2011</th><th>RFL, RFU, LTA, FA and ECB</th><th>Dinner</th></tr><tr><th></th><th>18 February 2011</th><th>UK Sport</th><th>Ticket to the UCI Cycling World Cup</th></tr><tr><th></th><th>22February 2011</th><th>EU Presidency</th><th>overnight accommodation</th></tr><tr><th></th><th>28 February 2011</th><th>IOC</th><th>overnight accommodation</th></tr><tr><th></th><th>10 March 2011</th><th>Cabinet Regional News and Media</th><th>Dinner</th></tr><tr><th></th><th>16 March 2011</th><th>Chelsea FC</th><th>Ticket to football game</th></tr><tr><th></th><th>17 March 2011</th><th>Phoenix Equity Partners</th><th>Breakfast</th></tr><tr><th></th><th>29 March 2011</th><th>Brunswick</th><th>Dinner</th></tr>
<table border="1">
<tr style="background-color: #f0f0f0;">
<th colspan="4">John Penrose MP, Minister for Tourism & Heritage:</th></tr>
<tr style="background-color: #f0f0f0;">
<td>Date<br/>17 January 2011<br/>24 January 2011<br/>15 March 2011<br/>16 March 2011<br/>16 March 2011<br/></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td>Name of Organisation<br/>BACTA<br/>NCIF<br/>Jockey Club<br/>William Hill<br/>Best of Britain and Ireland<br/></table>
<table border="1">
<tr style="background-color: #f0f0f0;">
<td>Type of Hospitality Received<br/>Lunch<br/>Dinner<br/>Lunch at Cheltenham Races<br/>train ticket: London to Birmingham<br/></table>
<sup>¹ Does not normally include attendance at functions hosted by HM Government: 'diplomatic' functions in the UK or abroad, hosted by overseas governments; minor refreshments at meetings, receptions, conferences, and seminars; and offers of hospitality which were declined.</sup>
\<page_number>3\</page_number>
<table>
<tr>
<td>23 March 2011</td>
<td>College Group</td>
<td>Dinner</td>
</tr>
<tr>
<td>28 March 2011</td>
<td>BALPA</td>
<td>Lunch</td>
</tr>
</table>
**Ed Vaizey MP, Minister for Culture, Communications and Creative Industries (DCMS)**
<table>
<thead>
<tr>
<th>Date</th>
<th>Name of Organisation</th>
<th>Type of Hospitality Received<br>(Include an asterisk against the<br>entry if accompanied by<br>spouse/partner or other family<br>member or friend)</th>
</tr>
</thead>
<tbody>
<tr>
<td>27 January 2011</td>
<td>Sunday Times</td>
<td>Lunch</td>
</tr>
<tr>
<td>28 January 2011</td>
<td>Conde Nast</td>
<td>Lunch</td>
</tr>
<tr>
<td>29 January 2011</td>
<td>Sovremennick Theatre</td>
<td>Theatre tickets *</td>
</tr>
<tr>
<td>01 February 2011</td>
<td>Endermol UK</td>
<td>Lunch</td>
</tr>
<tr>
<td>06 February 2011</td>
<td>Water Bros</td>
<td>Cinema tickets *</td>
</tr>
<tr>
<td>09 February 2011</td>
<td>Sony</td>
<td>Breakfast</td>
</tr>
<tr>
<td>10 February 2011</td>
<td>RIBA</td>
<td>Dinner</td>
</tr>
<tr>
<td>13 February 2011</td>
<td>BAFTA – Everything,<br>Everywhere</td>
<td>Dinner *</td>
</tr>
<tr>
<td>20 February 2011</td>
<td>Vivienne Westwood</td>
<td>Catwalk show</td>
</tr>
<tr>
<td>21 February 2011</td>
<td>Burberry Prorsum</td>
<td>Catwalk show</td>
</tr>
<tr>
<td>22 February 2011</td>
<td>Anya Hindmarch</td>
<td>Dinner</td>
</tr>
<tr>
<td>23 February 2011</td>
<td>E Tautz</td>
<td>Catwalk</td>
</tr>
<tr>
<td>23 February 2011</td>
<td>Gagosian Gallery</td>
<td>Dinner *</td>
</tr>
<tr>
<td>25 February 2011</td>
<td>Arcadia</td>
<td>Breakfast</td>
</tr>
<tr>
<td>27 February 2011</td>
<td>BBC</td>
<td>Dinner</td>
</tr>
<tr>
<td>02 March 2011</td>
<td>Sun<br>Good Business<br>Councils*</br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br></br><page_number>4</page_number><page_number>4
OVERSEAS TRAVEL
Secretary of State, Rt Hon Jeremy Hunt MP
<table>
<tr>
<td>Date(s) of trip</td>
<td>Destination</td>
<td>Purpose of trip</td>
<td>'No 32 (The Royal) Squadron' or 'other RAF' or 'Charter' or 'Eurostar'</td>
<td>Numb er of official s accom panyin g Minister, where non-scheduled travel is used</td>
<td>Total cost including travel, and accommodation of Minister only</td>
</tr>
<tr>
<td>21-22 Feb</td>
<td>Paris – France</td>
<td>Franco-British Colloque</td>
<td>Eurostar</td>
<td></td>
<td></td>
</tr>
<tr>
<td>19-20 March</td>
<td>Dublin – Ireland</td>
<td>Sporting Engagement and meeting with Ambassador</td>
<td>Scheduled</td>
<td></td>
<td>278</td>
</tr>
<tr>
<td colspan="6">Minister for Tourism & Heritage</td>
</tr>
<tr>
<td>10 Mar 011</td>
<td>Berlin – Germany</td>
<td>ITB Tourism Conference</td>
<td></td>
<td></td>
<td>217</td>
</tr>
<tr>
<td colspan="6">Minister for Culture, Communications & Creative Industries – Ed Vaizey MP (DCMS)</td>
</tr>
<tr>
<td colspan="6">Nil</td>
</tr>
<tr>
<td colspan="6">Minister for Sport and the Olympics</td>
</tr>
<tr>
<td>22-23 Feb 011<br>28 Feb -1 Mar 011</td>
<td>Budapest, Hungary<br>Lucerne - Switzerland</td>
<td>EU Sports Ministers IOC conference</td>
<td>Scheduled<br>Scheduled</td>
<td></td>
<td>401<br>202</td>
</tr>
</table>
\<page_number>5\</page_number> MEETINGS WITH EXTERNAL ORGANISATIONS<sup>2</sup>
<table>
<tr>
<td>Secretary of State - Rt Hon Jeremy Hunt MP<br>Date of Meeting</td>
<td>Name of Organisation</td>
<td>Purpose of Meeting</td>
</tr>
<tr>
<td>Jan, 2011</td>
<td>James Murdoch and other executive (News Corp)</td>
<td>To set out the process around the proposed BskyB/News Corp merger</td>
</tr>
<tr>
<td></td>
<td>Intellect</td>
<td>To discuss technology & Growth Agenda</td>
</tr>
<tr>
<td></td>
<td>Hillsborough Justice Campaign</td>
<td>To discuss Hillsborough Independent Panel</td>
</tr>
<tr>
<td></td>
<td>Premier League</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>Business in the Community</td>
<td>To discuss policy development on Big Society Agenda</td>
</tr>
<tr>
<td></td>
<td>Google</td>
<td>To discuss Broadband</td>
</tr>
<tr>
<td></td>
<td>Everything Everywhere</td>
<td>To discuss Broadband</td>
</tr>
<tr>
<td></td>
<td>Richard Horwood, Channel 6</td>
<td>General discussion</td>
</tr>
<tr>
<td></td>
<td>James Murdoch and other executive (News Corporation)</td>
<td>To set out the process around the proposed BskyB/New Corp Merger</td>
</tr>
<tr>
<td>Feb, 2011</td>
<td>Charles Moore (The Telegraph)</td>
<td>General discussion</td>
</tr>
<tr>
<td></td>
<td>England Basketball, British Judo, Badminton England, England Athletics, British Cycling, England Hockey, Rugby Football Union, Rugby Football League, Volleyball England, England Cricket Board</td>
<td>To speak on School Games</td>
</tr>
<tr>
<td></td>
<td>Chris Blackhurst, Business Editor of Standard</td>
<td>Meeting with Press</td>
</tr>
<tr>
<td></td>
<td>Virgin Media</td>
<td>To discuss Broadband</td>
</tr>
<tr>
<td></td>
<td>Adam Crozier (ITV); SiCo</td>
<td>General discussion</td>
</tr>
<tr>
<td></td>
<td>Fujitsu</td>
<td>To discuss Broadband</td>
</tr>
<tr>
<td></td>
<td>Hutchinson</td>
<td>To discuss Broadband</td>
</tr>
<tr>
<td></td>
<td>Talk Talk</td>
<td>To discuss Broadband</td>
</tr>
<tr>
<td></td>
<td>British Art Market</td>
<td>To discuss Artist Resell Rights</td>
</tr>
<tr>
<td></td>
<td>Adam Crozier (ITV)</td>
<td>General discussion</td>
</tr>
<tr>
<td></td>
<td>Tim Montgomerie, ConservativeHome.com</td>
<td>General discussion</td>
</tr>
<tr>
<td></td>
<td>Adam Crozier and Archie Norman (ITV)</td>
<td>General discussion</td>
</tr>
<tr>
<td></td>
<td>Various Rights holders and Internet Service providers</td>
<td>To discuss Intellectual Property Rights</TD
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<table>
<tr>
<td></td>
<td>Robert Peston, BBC Business Editor</td>
<td>Meeting with Press</td>
</tr>
<tr>
<td></td>
<td>David Bond, BBC Sports Editor</td>
<td>Meeting with Press</td>
</tr>
<tr>
<td></td>
<td>Anne McElvoy, Freelance Journalist</td>
<td>Meeting with Press</td>
</tr>
</table>
**Minister for Tourism & Heritage – John Penrose MP**
<table>
<thead>
<tr>
<th>Date of Meeting</th>
<th>Name of Organisation</th>
<th>Purpose of Meeting</th>
</tr>
</thead>
<tbody>
<tr>
<td>Jan, 2011</td>
<td>Royal Society of the Prevention for Birds (RSPB)</td>
<td>To discuss Henderson Island</td>
</tr>
<tr>
<td></td>
<td>Simon Davies Consultants</td>
<td>To discuss London Restaurant Festival</td>
</tr>
<tr>
<td></td>
<td>English National Parks Authority Association</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>Feb, 2011</td>
<td>DFUK/BRADA/British Destinations</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Cruise Britain/Scotland/Wales</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>British Tourist Authority</td>
<td>Follow-up meeting</td>
</tr>
<tr>
<td></td>
<td>Tourism Alliance</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>Ladbrokes</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>British Horseracing Authority</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>Churches Conservation Trust</td>
<td>Catch up</td>
</tr>
<tr>
<td>Mar, 2011</td>
<td>Southwest Tourism</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Gala Coral</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>Belfast</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Betfred</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Bishop of London</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>William Hill</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>British Horseracing Authority</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>Marketing Birmingham</td>
<td>Catch up</td>
</tr><br/>
<!-- More rows -->
</tbody><tfoot><tr><th colspan="3">Minister for Sport and the Olympics – Hugh Robertson MP</th></tr></tfoot><tbody><tr><th>Date of Meeting</th><th>Name of Organisation</th><th>Purpose of Meeting</th></tr><tr><th>Jan, 2011</th><th>BB Media and Sport<br>Mayor of Newham<br>Premier League<br>Commonwealth Secretarial<br>BOA & UK Sport<br>Independent Football Ombudsman<br>The FA<br>Institute of Sport and Recreational Management<br>Federation of Sports and Play Association<br>LOCOG<br>English Cricket Board<br>Sports Hall Sports</th><th>To discuss Sport legacy<br>To discuss legacy delivery<br>Catch up<br>To discuss Sport development within the Commonwealth strategy<br>To discuss Winter Sports strategy<br>To discuss their annual report<br>Introductory meeting to Chair the Professional Body for sport<br>To discuss the new professional body for sport<br>Introductory meeting<br>To discuss relay<br>To discuss Post Ashes and Pakistan status!<br>To discuss roles</th></tr></tbody></table>
7
<table>
<tr>
<td></td>
<td>National Anti Doping<br>West of England Sport Trust<br>British Boxing Board of Control<br>The Football Association</td>
<td>To discuss NGB Compliance<br>Introductory meeting<br>Update meeting<br>To discuss The National Football Centre</td>
</tr>
<tr>
<td>Mar, 2011</td>
<td>Special Olympics<br>BOA, ODA, Sport England<br>LOCOG<br>British Horseracing Authority; Premier League<br>British Mountaineering Council<br>Sport and Recreation Alliance</td>
<td>To discuss Special Olympics Great Britain<br>Progress on Places People Play<br>Project Board<br>General discussion<br>To discuss the work of BMC<br>Discuss Launch of the Regulatory Burden Review</td>
</tr>
<tr>
<td></td>
<td>Westfield Group<br>RFU</td>
<td>General discussion<br>Catch up meeting and England Rugby 2015</td>
</tr>
<tr>
<td></td>
<td>Supporters direct<br>The FA</td>
<td>To discuss football governance<br>To discuss football governance</td>
</tr>
<tr>
<td></td>
<td>World Anti Doping Agency<br>Tour of Britain<br>Football Foundation<br>Premier League</td>
<td>Catch up meeting<br>To discuss various cycling issues<br>To discuss Football Foundation<br>To discuss Football Governance</td>
</tr>
<tr>
<td></td>
<td>BBC</td>
<td>To discuss Sport and the Olympics</td>
</tr>
<tr>
<td></td>
<td>LOCOG<br>Various Performance Directors</td>
<td>To discuss Torch relay<br>To discuss key topics related to the High Performance environment</td>
</tr>
<tr>
<td></td>
<td>BOA<br>IOC; IPC</td>
<td>NOC meeting<br>Catch up</td>
</tr>
</table>
**Minister for Culture, Communications and Creative Industries – Ed Vaizey MP (DCMS)**
<table>
<thead>
<tr>
<th>Date of Meeting</th>
<th>Name of organisation</th>
<th>Purpose of meeting</th>
</tr>
</thead>
<tbody>
<tr>
<td>Jan, 2011</td>
<td>Motion Picture Association America<br>National Magazine Company<br>Culture 24</td>
<td>To discuss film policy<br>Introductory meeting<br>To discuss Museums at night night project</td>
</tr>
<tr>
<td></td>
<td>Birds Eye View<br>Atmos Architectural Studios</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>NOISE Festival<br>Raj Nathwani</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Aloft/London Aloft</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Kids in Museums</td>
<td>To discuss how the work of Kids in Museums fits with the Big Society</td>
</tr>
<tr>
<td></td>
<td>London Libraries Consortium<br>Save kid's TV<br>Darren Henley</td>
<td>To discuss library policy<br>To discuss broadcasting policy<br>To discuss music education</td>
</tr>
<tr>
<td></td>
<td>Google</td>
<td>To discuss internet policy</td>
</tr>
<tr>
<td></td>
<td>Cambridge University</td>
<td>To discuss indigenous human remains</td>
</tr>
</tbody>
</table>
\<page_number>8\</page_number>
<table>
<tr>
<td>Peoples History Museum</td>
<td>To discuss museum policy</td>
</tr>
<tr>
<td>NDMC</td>
<td>To discuss museum policy</td>
</tr>
<tr>
<td>Creative Coalition Campaign</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>Google</td>
<td>To discuss digital technology</td>
</tr>
<tr>
<td>Prince's Foundation for Children & the Arts</td>
<td>To discuss policy around involving children and culture</td>
</tr>
<tr>
<td>Feb, 2011</td>
<td>Skilset: NESTA</td>
<td>To discuss video games</td>
</tr>
<tr>
<td></td>
<td>Capital for Enterprise</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>E-Skills UK</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Talk Talk</td>
<td>Catch up</td>
</tr>
<tr>
<td></td>
<td>British Board of Film Classification</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Internet Advertising Bureau</td>
<td>To discuss e-privity directive</td>
</tr>
<tr>
<td></td>
<td>Aberlay University</td>
<td>To discuss on games consortium</td>
</tr>
<tr>
<td></td>
<td>Corpus Christi RC Primary</td>
<td>To discuss Henley Review</td>
</tr>
<tr>
<td></td>
<td>Business for New Europe</td>
<td>To discuss digital agenda</td>
</tr>
<tr>
<td></td>
<td>Research in Motion</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>Bauer Radio</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td></td>
<td>BBC</td>
<td>To discuss neutrality and Broadband</td>
</tr>
<tr>
<td></td><th>Sony</th><th>Catch up</th></tr><tr><th>Drapers</th><th></th><th>To discuss UK fastion & textile Introductory meeting</th></tr><tr><th>European Competitive Telecommunications Association</th><th></th><th></th></tr><tr><th>Royal Society of Arts</th><th></th><th>To discuss arts policy</th></tr><tr><th>IKON</th><th></th><th>To discuss museums</th></tr><tr><th>Google</th><th></th><th>To discuss search engines</th></tr><tr><th>Association British Orcestra's</th><th></th><th>To discuss collaboration</th></tr><tr><th>TV Swichover Help Scheme Bus</th><th></th><th>To discuss switchover</th></tr><tr><th>Walker Art Gallery</th><th></th><th>Introductory meeting</th></tr><tr><th>Pink Umbrella Ltd.</th><th></th><th>Introductory meeting</th></tr><tr><th>Fujitsu</th><th></th><th>Catch up</th></tr><tr><th>Digital Kent ENOMore2Screen Mar 2011 Manchester International Festival BBC London Cultural Stragegy Group European Commission in the UK Wellington Management company BSAC Local Government Association York Explore York Gallery Aga Khan Foundation Association for Television On-Demand Farshad Retail Academy Mark Thompson (BBC)</th><th></th><th>To discuss digital connectivity To discuss ENO live screening To discuss future strategy To discuss film policy To discuss mayor cultural strategy Introductory meeting To discuss media content To discuss films To discuss libraries Round table on Philanthropy Introductory meeting To discuss cultural events Introductory meeting Introductory meeting Introductory meeting To discuss DAB ACEVO Country Channel Ingenious Media First light awards ITV:UK Music:British Phonographic Roundtable on creative industries To discuss future strategies To discuss television on demand To discuss future strategies To discuss film Roundtable on creative industries To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy To discuss film policy
<table>
<tr>
<td>Industry;CBI;British Fashion Council;Ogilvy;IKIE;NESTA;Warner Bros;Creative England;PACT;Edios;Microsoft UK;Sorrell Foundation;Ingenious;Aardman;ERIBA;Amazon UK;BskyB;BBC;Google;Telegraph Media Group;Design Council;Harper Collins;Double Negative;The Advertising Association</td>
<td></td>
</tr>
<tr>
<td>National Campaign for the Arts</td>
<td>Catch up</td>
</tr>
<tr>
<td>Skillset</td>
<td>Catch up</td>
</tr>
<tr>
<td>Royal National Theatre</td>
<td>To discuss Philanthropy</td>
</tr>
<tr>
<td>Museums Association</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>Tech City</td>
<td>Catch up</td>
</tr>
<tr>
<td>The JNT Association</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>Creative Economy</td>
<td>To discuss creative sector</td>
</tr>
<tr>
<td>Telegraph</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>Race on Line</td>
<td>Catch up</td>
</tr>
<tr>
<td>BSkyB, Everything Everywhere, Telefónica O2 UK; ISPA; BT Virgin Media; Talktalk</td>
<td>To discuss parental controls</td>
</tr>
<tr>
<td>HBO</td>
<td>To discuss film</td>
</tr>
<tr>
<td>UK Council on Deafness</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>Prescience</td>
<td>Introductory meeting</td>
</tr>
<tr>
<td>London Music Masters</td>
<td>Catch up</td>
</tr>
<tr>
<td>ACEVO Arts, Heritage and Culture Group</td>
<td>To discuss philanthropy</td>
</tr>
<tr>
<td>Royal National Theatre</td>
<td>To discuss cultural education</td>
</tr>
<tr>
<td>MTV</td>
<td>Introductory meeting</td>
</tr>
</table>
\<page_number>10\</page_number>
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Item 7 – Internal Audit Report
CITY OF LONDON CHAMBERLAIN’S DEPARTMENT INTERNAL AUDIT SECTION
<img>CITY OF LONDON logo</img>
LONDON COUNCILS GRANTS’ PROGRAMME 2013-15 FINAL REPORT
Date Issued: 12 March 2014
Issued to: John O’Brien, Chief Executive Nick Lester, Corporate Director of Services Stephen Boon, Head of Grants and Community Services Katy Makepeace-Gray, Principal Grants Manager Frank Smith, Director of Corporate Resources David Sanni, Head of Financial Accounting <img>CITY LONDON logo</img> Internal Audit - Grants' Programme - Full Assurance Review - Final Report
CONTENTS (INDEX)
<table>
<thead>
<tr>
<th>SECTION</th>
<th>PAGE</th>
</tr>
</thead>
<tbody>
<tr>
<td>SECTION A: EXECUTIVE SUMMARY</td>
<td>3</td>
</tr>
<tr>
<td>SECTION B: AUDIT FINDINGS</td>
<td>5</td>
</tr>
<tr>
<td>APPENDIX 1: AUDIT DEFINITIONS AND RESPONSIBILITIES</td>
<td>10</td>
</tr>
</tbody>
</table>
Audit Fieldwork completed 29/01/2014 Draft Report Issued 03/03/2014 Management Response Received Agreeing Recommendations 05/03/2014 Final Report Issued 12/03/2014
\<page_number>2\</page_number> <img>CITY LONDON logo</img>
Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
SECTION A: EXECUTIVE SUMMARY
**Introduction**
The 32 London boroughs and the City of London contribute to grants administered by London Councils in accordance with established priorities. The 2013-15 programme subsidises initiatives which aim to reduce homelessness, sexual and domestic violence, unemployment and to support voluntary organisations. The Grants Committee has approved annual expenditure of £9,364,548 across 25 projects for the current grants programme.
The objectives of this audit were:
- To gain assurance that grants are issued in accordance with the established priorities, criteria are universally applied and sufficient due diligence checks are conducted prior to issue
- To verify that internal controls are in place to ensure that grants are being employed for agreed purposes
- To measure the extent of implementation of recommendations agreed in 2012 after the grant investigation
- To determine whether payments are processed accurately, on time and subject to adequate budgetary control
The European Social Fund (ESF) programme (£1,880,200 over two years) is subject to extensive external auditing and has been excluded from the scope of this review. The conclusions of this report refer to controls and processes governing borough-funded activities (priorities 1, 2 and 4).
**Assurance Statement**
<table>
<thead>
<tr>
<th>Assurance Level</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Substantial</strong></td>
<td>There is a sound control environment with risks to system objectives being reasonably managed. Any deficiencies identified are not cause for major concern.</td>
</tr>
</tbody>
</table>
**Key Conclusions**
There has been a notable improvement in the processes and controls of the London Councils’ grants scheme since the previous audit in October 2012. Where appropriate, Internal Audit have conducted 100% sample testing in order to provide greater assurance. The application and shortlisting process prior to the programme’s instigation is fair and transparent. Candidates’ operational and financial eligibility is verified prior to acceptance into the scheme. Formal grant agreements are in place to clearly dictate the terms of the funding and safeguard London Councils’ finances. The returns process is quarterly, clearly documented, consistently applied and it has been evidenced that payments are not processed without submission of the required documentation. Furthermore, all expected payments to date have been processed correctly.
\<page_number>3\</page_number> <img>CITY LONDON logo</img> Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
On consideration of the high value of some of the grants and the BNRRN issue in 2012, a minor opportunity for improving reference checks has been recommended. The introduction of a second reference check for organisations which have not been funded by London Councils before, or for those awarded over £1million per year, should be considered to further manage the risk of adverse performance issues during future grants programmes.
<table>
<thead>
<tr>
<th>Recommendations</th>
<th>Red</th>
<th>Amber</th>
<th>Green</th>
<th>Total</th>
</tr>
</thead>
<tbody>
<tr>
<td>Number Made:</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<td>Number Accepted:</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table>
\<page_number>4\</page_number> <img>CITY LONDON logo</img> Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
SECTION B: AUDIT FINDINGS
**Application and Eligibility**
**Establishing priorities** Internal Audit verified that the four priorities for the 2013-15 grants programme are the result of extensive public consultation. It is noted that members were consulted on the drafted priorities in May 2012 and all beneficiaries have demonstrated adherence to one of the priorities.
**Verification of applicants’ eligibility** The application and assessment process includes a satisfactory scope of financial, operational and third party checks: including an evaluation of recent financial statements; application of appropriate financial ratios; and consideration of project scope and performance history. These criteria are consistently applied in order to effectively determine candidates’ eligibility, and obtain sufficient assurance that the key risks of poor performance or financial loss are managed. The scoring matrix is universally employed and the scores were reported to the Grants Committee in February 2013, on which officers’ recommendations for funding were based. These scores were accurately calculated using the scoring matrix.
An independent check of officers’ financial ratios was conducted by using financial information published by the recipients on either their own websites or the Charity Commission. Audit calculations, based on a random sample of five successful candidates, verified that London Councils’ financial viability checks were accurate.
In accordance with internal policy, the Grants and Community Services section undertook references checks for all successful candidates prior to funding. The scope of the questions, using a pro forma, is considered sufficient to constitute a robust reference check.
However, London Councils may benefit from the greater assurance afforded by an additional reference check, considering the value of the grants (up to £2.7 million over two years) and the BNRRN issue in 2012. In order to limit the affect this could have on resources, an additional check could be applied to the highest risk grants: for organisations who have not previously received funding from London Councils or who receive in excess of £1million per year from the scheme.
**Grant agreements** Internal Audit verified that all current grants for non-ESF priorities are supported by formal grant agreements between London Councils and the beneficiaries. London Councils maintains a record of all agreements in the event of legal dispute, which have been signed by the Director of Corporate Services and a senior representative of the recipient organisation. The grant amounts stipulated within the contracts reconcile to the figures approved by the Grants Committee and those published on the website.
\<page_number>5\</page_number> <img>CITY LONDON logo</img> **Internal Audit – Grants’ Programme - Full Assurance Review – Final Report**
<table>
<tr>
<td>Priority</td>
<td>Issue</td>
<td>Risk</td>
</tr>
<tr>
<td>Green</td>
<td>Only one reference is obtained for each candidate</td>
<td>Poor performance of recipients not identified prior to funding</td>
</tr>
</table>
**Recommendation 1:** The Grants section should consider introducing a policy of more than one reference check per candidate. In order to limit the impact on staff resources, this could be exclusively applied to organisations which receive over £1million or have no history of London Councils’ funding.
**Management Response and Action Plan** Flow charts are currently being developed for the application process. A requirement of two references for organisations with a recommended funding level of over £1million or have no history of London Councils’ funding has been added.
Responsibility: Head of Grants and Community Services Target Implementation Date: April 2014
**Monitoring**
**Mid-programme returns** The Grants section operates a policy of quarterly returns, on which instalments of funding are predicated, in order to suitably monitor the beneficiaries’ performance. Returns constitute databases, progress reports and case studies which provide an adequate range of data to inform London Councils’ decision to continue funding during the grants programme. All returns were verified to be up to date at the time of review and submitted in the format required by London Councils.
An evaluation of a sample of returns for the period July to September 2013, officers’ calculations concerning red, amber and green ratings on organisation’s performance and quarterly update reports submitted to committee verified that all issues identified by returns to date have been fully and clearly reported to the Grants Committee. RAG ratings are accurately and consistently employed and are calculated using a variety of appropriate factors with suitable weighting.
**Visits** A formal policy for the scope and frequency of visits is maintained by the Grants section. Observation of visit notes available to date confirmed that visits are recorded, using the required templates, and that the number of visits undertaken at the time of fieldwork was in accordance with the policy of two visits per year. Visits incorporate a sufficient range of evidence and questioning, including verification of performance indicators, financial performance and governance structure.
\<page_number>6\</page_number> <img>CITY LONDON logo</img> **Internal Audit – Grants’ Programme - Full Assurance Review – Final Report**
**Termination of funding** As at January 2014, no funding had been terminated. However, Internal Audit is satisfied that controls are in place to support prompt termination of grants should this become necessary. Assurance has been placed on a number of factors which are all considered sufficient to allow prompt termination should this become necessary: the reporting framework from grant officers to managers; formal reporting to committee; the frequency and scope of returns; and officer visits. Evidence of London Councils delaying payments until recipients have submitted required documentation demonstrates a notable improvement in payment control since the BNRRN issue (further information under ‘Payments’ section).
No recommendations raised.
**Payments**
**Quarterly payments to date** Internal Audit can provide assurance that all due payments to date have been processed at the time of the review. A reconciliation between the total grant value approved by the Grants’ Committee in February 2013 and payments to date identified no variance, as summarised below:
Table One: Approved budget against actual expenditure as at January 2014
<table>
<thead>
<tr>
<th></th>
<th>Annual budget<br>2014/15</th>
<th>Predicted<br>expenditure<br>2014/15</th>
<th>Actual<br>expenditure<br>2014/15</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>Approved by<br>committee, July 2013</td>
<td>Interpolation of annual<br>budget</td>
<td>Quarters 1 and 2</td>
</tr>
<tr>
<td>Priority</td>
<td>£</td>
<td>£</td>
<td>£</td>
</tr>
<tr>
<td>1.1</td>
<td>1,889,936</td>
<td>944,968</td>
<td>944,968</td>
</tr>
<tr>
<td>1.2</td>
<td>730,672</td>
<td>365,336</td>
<td>365,336</td>
</tr>
<tr>
<td>1.3</td>
<td>149,535</td>
<td>74,768</td>
<td>74,768</td>
</tr>
<tr>
<td>2.1</td>
<td>199,865</td>
<td>99,933</td>
<td>99,933</td>
</tr>
<tr>
<td>2.2</td>
<td>1,715,504</td>
<td>857,752</td>
<td>857,752</td>
</tr>
<tr>
<td>2.3</td>
<td>250,038</td>
<td>125,019</td>
<td>125,019</td>
</tr>
<tr>
<td>2.4</td>
<td>612,950</td>
<td>306,475</td>
<td>306,475</td>
</tr>
<tr>
<td>2.5</td>
<td>304,000</td>
<td>152,000</td>
<td>152,000</td>
</tr>
<tr>
<td>*2.6*</td>
<td>320,633</td>
<td>160,317</td>
<td>160,317</td>
</tr>
<tr>
<td>4.</td>
<td>1,331,848</td>
<td>665,924</td>
<td>665,924</td>
</tr>
<tr style="border-top: 1px solid black;">
<td><strong>Total</strong></td>
<td><strong>7,504,981</strong></td>
<td><strong>3,752,491</strong></td>
<td><strong>3,752,491</strong></td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="4">*Including funding for DVIP, which was approved by a majority vote in July 2013*</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="4">Notable variances between the expected and actual payment dates were identified however, particularly for the six months of the programme (April – September). Analysis of correspondence between London Councils and the organisations which received the most delayed payments (up to 99 days) verified that the delays are owing to the beneficiaries failing to submit relevant documentation within the required deadlines.</td>
</tr>
<tr style="border-top: 1px solid black;">
<td colspan="4"><page_number>7</page_number></td>
</tr>
</tbody>
</table>
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<img>A small image of an eye symbol inside an oval shape. <img>CITY LONDON logo</img>
Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
Examples include revised signed partnerships or safeguarding policies, delivery plans, public employer’s liability insurance and draft accounts. In these instances, London Councils has delayed funding pursuant to clause 6, section 1 of the grant agreements. On receipt of the required documents, the Grants section processed the payments within reasonable timeframes of two working weeks.
Table Two: Summary of payment delays by quarter
<table>
<thead>
<tr>
<td></td>
<td>Q1</td>
<td>Q2</td>
<td>Q3</td>
</tr>
</thead>
<tbody>
<tr>
<td>Average delay (days)</td>
<td>51</td>
<td>32</td>
<td>13</td>
</tr>
<tr>
<td>Shortest delay (days)</td>
<td>28</td>
<td>11</td>
<td>7</td>
</tr>
<tr>
<td>Longest delay (days)</td>
<td>63</td>
<td>99</td>
<td>19</td>
</tr>
<tr>
<td>>30 days (# payments)</td>
<td>24/25</td>
<td>13/25</td>
<td>0/25</td>
</tr>
</tbody>
</table>
Budgetary control Payments are subject to satisfactory control and are scheduled in accordance with the final annual budget approved by the Grants’ Committee on the local system, GIFTS. Responsibility for administering payments is adequately segregated in line with best practice: grant officers check claims and schedule the payments on GIFTS, which are processed subject to the Principal Grant Managers’ authorisation checking and sign off for payment by the finance team.
The Director of Resources checks the budget position on a monthly basis in order to allow prompt identification of any resourcing issues and calculates the end of year forecast on a quarterly basis, which members receive periodic updates on. The Head of Financial Accounting is responsible for conducting quarterly reconciliations between the City of London’s finance system, CBIS, and GIFTS. It has been noted that reconciliations are conducted frequently and no unresolved variances have been identified since the start of the current grants programme.
The grants’ programme budget for 2013-15 is in a favourable position, reporting 44% of total expenditure against budget and 45% of income (representing a surplus of £124,000) at the six month position owing to a return to revenue of estimated liabilities set up during the closure of the 2012/13 accounts (£71,272) and a net underspend prediction for the ESF results-based programme.
No recommendations raised.
\<page_number>8\</page_number> <img>CITY LONDON logo</img> Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
**Implementation of grant investigation recommendations**
Internal Audit has reviewed the implementation of recommendations agreed with London Councils in October 2012 following an investigation of the Black Neighbourhood Renewal and Regeneration Network (BNRRN) irregularity. All seven recommendations are considered fully implemented. It should be noted that recommendations concerning the escalation or reporting of financial irregularities have been considered implemented based on evidence of a new whistleblowing and anti-fraud policy and a robust reporting framework; there have been no reports of misappropriation in the 2013-15 programme at the time of reporting.
A table summarising the implementation of recommendations at the time of reporting is presented below:
Table Three: Summary of Progress
<table>
<thead>
<tr>
<th>RAG Rating</th>
<th>Recommendations</th>
<th>Implemented</th>
<th>Partially Implemented</th>
<th>Not Implemented</th>
</tr>
</thead>
<tbody>
<tr>
<td>Red</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Amber</td>
<td>2</td>
<td>2</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Green</td>
<td>5</td>
<td>5</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Total</td>
<td>7</td>
<td>7</td>
<td>0</td>
<td>0</td>
</tr>
</tbody>
</table>
No further recommendations raised.
\<page_number>9\</page_number> <img>CITY LONDON logo</img> Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
APPENDIX 1: AUDIT DEFINITIONS AND RESPONSIBILITIES
Assurance levels
<table>
<thead>
<tr>
<th>Category</th>
<th>Definition</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Nil Assurance</strong><br>'Dark Red'</td>
<td>There are fundamental weaknesses in the control environment which jeopardise the achievement of system objectives and could lead to significant risk of error, fraud, loss or reputational damage being suffered.</td>
</tr>
<tr>
<td><strong>Limited Assurance</strong><br>'Red'</td>
<td>There are a number of significant control weaknesses and/or a lack of compliance which could put the achievement of system objectives at risk and result in error, fraud, loss or reputational damage.</td>
</tr>
<tr>
<td><strong>Moderate Assurance</strong><br>'Amber'</td>
<td>An adequate control framework is in place but there are weaknesses and/or a lack of compliance which may put some system objectives at risk.</td>
</tr>
<tr>
<td><strong>Substantial Assurance</strong><br>'Green'</td>
<td>There is a sound control environment with risks to system objectives being reasonably managed. Any deficiencies identified are not cause for major concern.</td>
</tr>
</tbody>
</table>
Recommendation Categorisations
<table>
<thead>
<tr>
<th>Priority</th>
<th>Definition</th>
<th>Timescale for taking action</th>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>A serious issue for the attention of senior management and reporting to the appropriate Committee Chairman. Action should be initiated immediately to manage risk to an acceptable level</td>
<td>Less than 1 month or more urgently as appropriate</td>
</tr>
<tr>
<td><strong>Red - 1</strong></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>A key issue where management action is required to manage exposure to significant risks, action should be initiated quickly to mitigate the risk.</td>
<td>Less than 3 months</td>
</tr>
<tr>
<td><strong>Amber - 2</strong></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>An issue where action is desirable and should help to strengthen the overall control environment and mitigate risk.</td>
<td>Less than 6 months</td>
</tr>
<tr>
<td><strong>Green - 3</strong></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
Note: These ‘overall assurance level’ and ‘recommendation risk ratings’ will be based upon auditor judgement at the conclusion of auditor fieldwork. They can be adjusted downwards where clear additional audit evidence is provided by management of controls operating up until the point of issuing the draft report.
\<page_number>10\</page_number> <img>CITY LONDON logo</img> Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
What Happens Now?
The final report is distributed to the relevant Head of Department, relevant Heads of Service, and those involved with discharging the recommended action.
A synopsis of the audit report is provided to the Audit Committee. Internal audit will carry out a follow-up exercise approximately six months after the issue of the final audit report. The on-going progress in implementing each recommendation is reported to each meeting of the Audit Committee.
Any Questions?
If you have any questions about the audit report or any aspect of the audit process please contact the auditor responsible for the review (Myles Binney, Myles.Binney@cityoflondon.gov.uk) or Paul Nagle, Head of Audit & Risk Management at paul.nagle@cityoflondon.gov.uk.
\<page_number>11\</page_number> <img>CITY LONDON logo</img> Internal Audit – Grants’ Programme - Full Assurance Review – Final Report
APPENDIX 2: CLIENT FEEDBACK
The Internal Audit Section is continually monitoring and striving to improve its methods of operation, with the aim of giving you a better service. Part of this involves obtaining your opinion on individual audits.
To help us with this please complete the following questionnaire, by ticking the appropriate box:
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<td>Good</td>
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<td>Was the audit report accurate and clear?</td>
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<td>How valuable were the conclusions and recommendations?</td>
<td></td>
<td></td>
<td></td>
<td></td>
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<td>How professional was the auditor?</td>
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Any further comments:
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<img>A blue and white abstract design.</img>
ACTION RESEARCH INTO IMPROVEMENT IN LOCAL CHILDREN’S SERVICES
Final research report, Spring 2016
Ben Bryant, Natalie Parish and Simon Rea Isos Partnership
<img>Local Government Association logo</img> <img>ISOS Partnership logo</img>
# Contents
Executive summary .................................................................................................................. 3 Introduction: Aims of the research .......................................................................................... 3 The improvement journey of local children’s services .......................................................... 3 Key enablers of improvement in children’s services ............................................................ 5 How the current system supports improvement and how this might be made more effective .... 7 Acknowledgements ..................................................................................................................... 9 Introduction ............................................................................................................................... 10 The context of the research ................................................................................................. 10 The aims of the research........................................................................................................... 11 Our approach to the action research ...................................................................................... 11 The context in which local children’s services are working ............................................... 13 Chapter 1: The improvement journey of local children’s services ........................................ 14 Poor to fair ............................................................................................................................. 14 Fair to good .............................................................................................................................. 15 Good to great .......................................................................................................................... 17 Summarising the improvement journey .................................................................................. 18 The timeline of improvement ................................................................................................. 19 Chapter 2: Key enablers of improvement in children’s services .......................................... 22 Enabler 1: Strategic approach ............................................................................................... 22 Enabler 2: Leadership and governance ................................................................................. 24 Enabler 3: Engaging and supporting the workforce ............................................................... 27 Enabler 4: Engaging partners ................................................................................................. 30 Enabler 5: Building the supporting apparatus ....................................................................... 32 Enabler 6: Fostering innovation ............................................................................................ 33 Enabler 7: Judicious use of resources .................................................................................. 34 How the seven key enablers manifest themselves across the stages of improvement ............ 35 Developing a toolkit for the stages of improvement .............................................................. 36 Three practical steps for new leaders at the outset of an improvement journey .................... 38 Chapter 3: How effectively the current system supports improvement .................................. 41 Space for dialogue on policy and practice ............................................................................. 42 Monitoring performance leading to early warning of weaknesses ....................................... 42 Networks for informal support and peer learning .................................................................. 43 Inspection ................................................................................................................................. 44
\<page_number>1\</page_number> Formal improvement support and intervention .................................................................................................................. 45 A well-functioning labour market ................................................................................................................................. 47 Sufficient investment ................................................................................................................................................. 48 Chapter 4: Implications and recommendations ........................................................................................................... 49 Space for dialogue on policy and practice ............................................................................................................... 49 Better monitoring leading to early warning .............................................................................................................. 49 Networks for informal support and peer learning .................................................................................................... 50 Inspection and accountability ................................................................................................................................. 51 Formal improvement support and intervention .......................................................................................................... 51 A well-functioning labour market ............................................................................................................................... 52 Annex: Local children’s services case studies ............................................................................................................. 54 Case study 1: Achieving for Children (Kingston-upon-Thames and Richmond-upon Thames) ......................... 54 Case study 2: Barnsley Metropolitan Borough Council ......................................................................................... 56 Case study 3: Doncaster Children’s Services Trust ............................................................................................... 58 Case study 4: Hampshire County Council and the Isle of Wight Council ......................................................... 60 Case study 5: Lincolnshire County Council .............................................................................................................. 62 Case study 6: North Yorkshire County Council ........................................................................................................ 64 Case study 7: Nottinghamshire County Council ........................................................................................................ 66
\<page_number>2\</page_number>
# Executive summary
## Introduction: Aims of the research
In 2012, Ofsted introduced a new single inspection framework for children’s services. At the time this action research began (January 2016), 78 local children’s services had been inspected, of which 20 had been found inadequate, 41 were deemed to require improvement, and 17 were judged good. During the time this research was carried out, further inspections have taken place, with two members of the tri-borough authority – Kensington and Chelsea, and Westminster – becoming the first local children’s services departments to receive outstanding judgements under the current framework. The new single inspection framework has not been without controversy. Nevertheless, the profile of inspection outcomes suggests that there is a need for system-wide improvement in children’s services. Understanding how best to enable and support that improvement has been the focus of this research.
This project was commissioned by the Local Government Association (LGA), and has sought to answer two central questions.
a. What are the key enablers of (and barriers to) improvement in local children’s services? b. How can the system as a whole facilitate and support improvement in local children’s services?
This has been done by working in depth with a small sample of nine local areas, at different points on their improvement journeys. We carried out visits to each of these nine local areas, and engaged senior children’s services leaders in two sets of action research workshops. As well as informing the findings set out in this report, these discussions have also enabled us focus on specific improvement activities that each local area has been working on in real time. These have been captured in the case studies in the annex to this report, and have been used to illustrate key points throughout the report. As well as working with the nine local areas, we have also gathered views from a range of national stakeholders and senior leaders in eight other local areas.
## The Improvement Journey of local children’s services
All of the local areas with which we worked saw themselves as being on a journey of improvement, with key milestones they were seeking to reach and pitfalls they needed to avoid. To capture this, we have described the concept of an improvement journey in terms of moving from poor, to fair, to good and eventually to great.
A key finding of our research has been that the improvement activities in which local areas are engaged were consistent, continuous and cumulative. Local areas in the good-to-great stage of their journey had not stopped doing what had enabled them to improve from poor to fair. Instead, they had continued, embedded and built upon these activities. For example, building the vision, values and culture of the organisation and robust self-assessment are both vital activities in the initial stage of the improvement journey, which must be continued and sustained if improvement is to be embedded. Nevertheless, we found that there were distinct emphases of these activities that distinguished each phase of the journey. A second key finding, and an important caveat, is that progressing from phase to phase through the improvement journey is not automatic: just as there are defining characteristics at each phase, there are also specific pitfalls and risks of “slipping back” that must be negotiated.
\<page_number>3\</page_number> For local areas seeking to improve from poor to fair, we found that there were two distinctive emphases. The first was on putting core systems and processes in place, reasserting control over the system, accurately assessing risk, making sure cases were allocated, clearing backlogs and bringing caseloads down to manageable levels through recruitment and redistribution. The second, however, was on rebuilding the culture and ethos of the organisation so as to support ongoing and sustained improvement. The pitfalls to be avoided during this phase are failing to get to a genuine understanding of why the service has been failing and its current weaknesses and strengths – “getting to a baseline” – and rushing into an ill-thought-out restructure. The premium here is on accurate diagnosis and in-depth engagement with the workforce.
For local areas seeking to move from fair to good, we found that sustaining improvement required that they see improvement as a long-term process underpinned by a long-term strategy. Complacency and short-termism are the risks to be avoided. There are three distinctive features during this phase. First, local areas have sought to develop their capacity for robust self-assessment, once external oversight of improvement, such as an independently-chaired improvement board, has been lifted. Second, the locus of leadership of improvement shifts, with middle managers playing a more significant role in embedding improvements and ensuring greater consistency of frontline practice. Third, the focus of improvement activities moves from certain “mission-critical” aspects of the service (such as the front door) to see children’s services as a single interdependent system, with greater emphasis placed on preventative and early help services.
We found that there were three further distinctive characteristics of the activities of local areas seeking to improve from good to great, or to sustain excellence. First, we found that improvement had ceased to be a discrete project and was part of “core business”. Second, routines to ensure oversight of key services were embedded to the extent that they could embrace disciplined innovation to drive ongoing improvement. Third, senior leaders of good-to-great children’s services may have opportunities to act as system leaders, supporting other local areas.
While the emphasis during this phase was on maintaining consistently high-quality frontline practice and managing risk effectively, the risk was of becoming overstretched and “taking one’s eye off the ball”. The speed at which cases come into children’s services and decisions are required can mean that even ostensibly high-performing local children’s services can be vulnerable to rapid decline if staff in key roles leave or too much of their time is diverted onto other projects. Local areas recognised the importance of embedding improvement so that it was not dependent on a few key individuals in leadership roles. Furthermore, they saw that, if planned correctly, there were significant benefits in staff taking on system leadership roles, such as being able to offer high-calibre staff a range of routes through which to develop themselves and progress in their career.
As well as describing each stage, we also explored the timescales involved in achieving sustained improvement and progressing through the phases of the improvement journey. Local areas cautioned that the improvement journey was seldom linear, and that inhibiting factors – the depth and duration of service failure, the level of acceptance by leaders, and the effectiveness of the initial response – could impede and side-track improvement. Nevertheless, local areas estimated that it took around two years to move from poor to fair, to move from full and frank recognition of weakness to having a safe and effective core service. Doing so required:
\<page_number>4\</page_number>
- around six months of rigorous diagnostic to get to a baseline position on the organisation’s capacity and competency;
- a further six months to stabilise the service by strengthening core systems, ensuring the right thresholds for entry into children’s services are in place, and clearing backlogs;
- a further year of iterative implementation, checking quality, and problem-solving; and
- all the while, engaging and communicating with the workforce and key partners.
**Estimated timescales for each phase of the improvement journey**
<img>A flowchart showing the phases of improvement. The left side shows "Poor-to-fair" (4-6 months through process to diagnose assistant of weakness & develop robust plan) leading to "Fair-to-good" (6 months strengthen core systems, clear thresholds, quality assurance of service). The middle shows "Good-to-great" (1 year focus on implementation, quality assurance, problem-solving). The right side shows "Pursuit of quality in practice" (3 years to develop a safe, effective core service into a consistently high-quality, innovative service). Below this is "Normalising improvement routines", "Disciplined innovation", and "System leadership". All the while engaging the workforce and working with partners.</img>
Those local areas that had made the transition right the way through all of the phases of the improvement journey reflected that to move from fair to good and great required around a further three years. This period was characterised by the relentless pursuit of quality and consistency of practice, embedding and normalising of improvement routines, disciplined innovation, and eventually looking to reach out beyond the service to provide more system-wide leadership.
**Key enablers of improvement in children’s services**
During the research, we explored with the participating local areas what had been the most important “enablers” of their improvement. Based on their improvement journeys, we identified seven key enablers of children’s services improvement. These are captured in the figure below.
Put briefly, the first four enablers describe the importance of getting key people in a range of roles and organisations lined up behind a single, coherent strategy for improvement, and the importance of building the organisation culture, ethos and values to sustain improvement. Any attempt to deliver long-term and sustained improvement at scale, irrespective of the service area, requires clarity of vision and a well thought-through strategic approach. Local areas described to us that this must be bought into by those at the top of the organisation, including political and corporate leaders, and shared by all staff. It should be informed by robust self-assessment and frank acceptance of external feedback. All local areas described the crucial role a long-term strategy had played in guiding their improvement; none, however, said that time spent disputing whether their services really were poor had contributed to improvement.
\<page_number>5\</page_number> Seven enablers of improvement in children's services
<table>
<tr>
<td style="width: 30%; vertical-align: top;">
<strong>Strategic approach</strong><br>
<ul>
<li>Rigorous and forensic self-assessment of the organization's strengths and weaknesses</li>
<li>Honest and open response to any external feedback or inspections – focus on improvement, avoid denial</li>
<li>Develop a vision & strategic plan that is light on the organization – will "tick a box" be seen as the way to go?</li>
</ul>
</td>
<td style="width: 70%; vertical-align: top;">
<strong>Leadership & governance</strong><br>
<ul>
<li>Maintain the right, stable, focused leadership at all levels – political, senior leaders & middle managers</li>
<li>Ensure effective, professional governance – with key decision-makers from partner agencies to enable swift action</li>
</ul>
</td>
</tr>
<tr>
<td style="width: 30%; vertical-align: top;">
<strong>Engaging & supporting the workforce</strong><br>
<ul>
<li>Change the rhetoric – avoid the "stale game" and ensuring turbulence in staffing</li>
<li>Stabilize the workforce – ensure that staff have access to good job opportunities through good practice policies like: flexible working hours, career development, training, and support</li>
<li>Stabilise the workforce – and support frontline professionals through manageable caseloads and supervision</li>
<li>Develop staff from within – through a proactive recruitment and a robust staff development strategy</li>
</ul>
</td>
<td style="width: 70%; vertical-align: top;">
<strong>Engaging partners</strong><br>
<ul>
<li>Align thresholds - to ensure consistent decision-making about referrals to the service</li>
<li>Review practices through multi-agency audits - to ensure consistency across different agencies</li>
<li>Ensure that "the right people" are involved in the delivery of services - e.g. "getting into" or "slipping into" deal with particular issues</li>
</ul>
</td>
</tr>
<tr>
<td style="width: 30%; vertical-align: top;">
<strong>Building the supporting apparatus</strong><br>
<ul>
<li>Maintain a secure front door - to ensure the right cases are dealt with in the right way, at the right time</li>
<li>Know your business - ensure regular flows of robust evidence that can be used by members, leaders & staff</li>
<li>Develop routines to track progress, audit quality, monitor improvements and hear from children themselves</li>
</ul>
</td>
<td style="width: 70%; vertical-align: top;">
<strong>Fostering innovation</strong><br>
<ul>
<li>Create a learning culture - use which new ideas and initiatives to improve practice are openly encouraged and supported by senior leaders, middle managers and staff</li>
<li>Evaluate rigorously - to learn from and respond to innovative practice - and know when to "hold your nerve"</li>
</ul>
</td>
</tr>
<tr>
<td style="width: 30%; vertical-align: top;">
<strong>Judicious use of resources</strong><br>
<ul>
<li>Ensure strategic & financial planning are aligned - to enable sustainable short- and long-term improvements</li>
<li>Invest where it is needed - deploy additional resources to unlock backlogs or develop critical new processes or services</li>
<li>Monitor performance against agreed targets - to ensure that outcomes meet expectations</li>
<li>Focus on long-term priorities - investing in prevention services to reduce demand on other services</li>
</ul>
</td>
<td style="width: 70%; vertical-align: top;"></td>
</tr>
</table>
A corollary of having a long-term strategy for sustaining improvement is having stable, consistent leadership and governance in place to implement it. Leadership of children's services must be effective – and those we engaged argued that this required a relentless focus on quality, engagement in frontline practice, and the ability to model the core values and service standards – but it must also be stable. This applies not only to the senior leadership of children's services, but also to middle managers, who can play a crucial role in embedding improvements and ensuring consistency of frontline practice. Likewise, political and corporate leaders can play a crucial role in catalysing a speedy and effective response to serious weaknesses in children's services, sustaining improvement through effective long-term planning and scrutiny, and embedding effective frontline practice through, for example, effective corporate parenting arrangements. Political and corporate leaders, who know what good children's services look like, and are signed up to effective long-term plans for improvement, have a vital role in driving and sustaining improvement.
Even with an effective strategic plan and sound leadership, children's services cannot improve without effective frontline practitioners. This is why engaging and supporting the workforce is such a crucial part of securing improvement. This requires ensuring that there are sufficiently qualified staff in post to deliver a safe and well-functioning service, retaining those staff and enabling them to deliver high-quality social work through effective support and supervision, professional development, and active caseload management. Ensuring staff feel trusted, valued and supported can be crucial to avoiding the vicious cycle of workforce turbulence, high staff turnover, and consequent rising rates of agency staff that can follow an adverse inspection judgement.
The multifaceted nature of children's services means that local authorities cannot succeed in delivering a high-quality service on their own. Effectively engaging partners and the intelligent use of external support and challenge to cement partnerships were characteristics of local areas that had improved or maintained a high-quality service. They had done this through personal engagement with senior partners, effective strategic governance arrangements, and multi-agency collaboration, often
\<page_number>6\</page_number> starting with aligning thresholds and moving onto multi-agency audits to drive practice improvements. The local areas that were most confident about their improvement were those that had been able to foster an overarching vision, a set of values, and an organisational culture that was shared by leaders, practitioners and partners.
The fifth enabler – what we have termed building the supporting apparatus – describes the need to put in place the foundations or essential “wiring” of effective children’s services. The focus here is on ensuring that strong core systems and processes are in place. Furthermore, it is essential that leaders and managers “know the business”, which requires robust routines for collating and triangulating real-time performance data, the results of audits of frontline practice, and feedback from children and families.
The sixth and seventh of our key enablers – fostering innovation and judicious use of resources – describe how local areas have enhanced their practice and sustained improvement. Innovation has a vital role to play in improving children’s services, but must be disciplined if it is to lead to sustained improvements and avoid diverting energy and resources from core business. This means ensuring clarity of purpose, precise planning, effective implementation and rigorous analysis of the effectiveness of any innovation before considering wider roll-out. The use of resources must be equally clear-and far-sighted in order to sustain improvement. The risk to be avoided is for the long-term plan for improvement and the organisation’s financial plan to be misaligned, with pressure to withdraw resources from improving children’s services prematurely.
**How the current system supports improvement and how this might be made more effective**
During our engagements with the local children’s services and national stakeholders, we asked colleagues to reflect on how effectively the system at national level supported local children’s services to put into practice and sustain the enablers of improvement detailed in the previous chapter. We drew two insights from these discussions.
First, we concluded that the current national system contains the right elements to support children’s services improvement, but requires greater strategic coherence and co-ordination to sustain system-wide improvement. Second, in order to expand the capacity for system leadership and avoid the risk of over-burdening a small number of high-performing local areas, the national system needs to focus not only on intervening in poorly-performing local areas, but also on systematically supporting those on the fair-to-good and good-to-great stages of the improvement journey.
Doing this will require three things to be in place: an evidence base of what works to drive improvement, a graduated approach to support and accountability, and the right underpinning conditions to be in place.
In terms of an evidence base of what works to drive improvement, currently this can be somewhat fragmented and piecemeal. There is a key role to be played by the sector and its partners in bringing together an active research agenda, leading national policy debates, and strengthening and professionalising the leadership of the children’s services sector. We suggest that there is an opportunity offered by the announcement of the forthcoming Department for Education (DfE)-commissioned ‘What Works Centre for Children’s Social Care’ to bring together the latest research
\<page_number>7\</page_number> about driving improvement in children’s services. Such a body, working alongside organisations like the Virtual College, Association of Directors of Children’s Services (ADCS), LGA and Society of Local Authority Chief Executives (SOLACE), could play a key role in enhancing practice and leadership within the sector, akin to, for example, the Royal College of Surgeons.
There must also be mechanisms for applying this evidence base in practice. This is what we mean by a graduated approach to support and accountability. Currently, children’s services leaders argue that there is sufficient soft intelligence to identify the early warning signs of serious failure, but a lack of clarity about who is responsible for collating and acting upon this intelligence. Sector-led organisations such the LGA and ADCS have offers of peer review for local areas, but taking part is voluntary, and this limits the effectiveness of peer review as a mechanism for spotting the signs of decline before it becomes terminal. The DfE has recently announced that seven local areas will be designated as partners in practice, and will have a role supporting improvement in other local areas. This is to be welcomed, but there remain questions about the sufficiency of system leadership capacity, given the number of local areas that may require support, and the evidence of the relative effectiveness of different models of support.
In this report, we have outlined a more coherent approach to support and accountability, which would bring together informal and formal accountability and support. We have suggested a more explicit role in collating and acting upon soft intelligence for a representative body or consortium. This could, if aligned with a more targeted approach to peer reviews and commissioning of support from a broad pool of system leaders, play a key role in identifying and seeking to address concerns before they reach crisis-point. They could also act as a trigger for Ofsted inspection and, if appropriate, more formal improvement support and intervention. Local areas suggested that the effectiveness of formal accountability and intervention could, in turn, be improved by ensuring that there was greater alignment of reporting arrangements between the DfE and Ofsted, and through the development of a more explicit evidence base for the effectiveness of different models of intervention.
Lastly, there must also be the right underpinning conditions in place, most notably a well-functioning labour market. Many local areas reported difficulties recruiting and retaining high-calibre social workers, in part due to some of the vagaries of the social work agency market. Addressing these will require a mix of both national and local intervention. Our research suggests that investment in workforce development, with a firm focus on the quality of supervision, practical support, professional development and keeping caseloads manageable, has a vital role to play in retaining a highly-trained, stable workforce within children’s services. At a national level, government and the sector may wish to consider further actions that might be taken collectively to address some of the negative effects of the current agency market and improve the range of recruitment options open to local areas that receive an inadequate inspection judgement. Kite-marking social work agencies may be one way that local areas can be assured of the reliability of the information about prospective agency staff. Fostering the development of pools of social workers who can be deployed to provide short-term additional capacity, which some local areas have explored, may be another means of enabling local areas to draw on staff with the right skills at the right time to support their improvement.
\<page_number>8\</page_number> **Acknowledgements**
This project was undertaken by a small team from Isos Partnership, led by Ben Bryant, Natalie Parish and Simon Rea. During the fieldwork stages of the research, we were able to draw on the knowledge of two expert research partners, Andrew Bunyan and Nikki Pace.
During the research itself, we worked with frontline practitioners, heads of service, senior leaders of children’s services and partner agencies, and elected members from nine local areas, whom we engaged in the action research aspects of the project:
- Achieving for Children (Kingston-upon-Thames and Richmond-upon-Thames);
- Barnsley;
- Bexley;
- the Doncaster Children’s Services Trust;
- Hampshire (with the Isle of Wight);
- Leicester City;
- Lincolnshire;
- North Yorkshire; and
- Nottinghamshire.
We also engaged senior leaders from eight other local areas: Birmingham, Buckinghamshire, Derbyshire, East Sussex, Medway, Rotherham, Staffordshire and Wiltshire.
All were at different stages of their improvement journey, and, due to the action research nature of the project, we were privileged to be able to work alongside them on an ongoing basis while they were planning, implementing and refining plans to improve local children’s services. This has proved hugely valuable, and we have sought to capture their experiences of pursuing sustainable and rapid improvement to illustrate the key points made in this report.
We were also able to draw on the knowledge and expertise of a range of national stakeholders, including colleagues from the LGA, ADCS, SOLACE, Ofsted and the DfE.
All colleagues who agreed to take part in this research, in whatever capacity, shared a deep and unshakeable commitment to improving children’s services and to ensuring vulnerable young people are kept safe from harm. We are grateful to them for giving of their time so generously, and we hope that this research proves valuable to them and their counterparts in children’s services across the country.
\<page_number>9\</page_number> Introduction
The context of the research
In 2012, Ofsted introduced a new single inspection framework for children’s services. At the time this action research began (January 2016), 78 local children’s services had been inspected, of which 20 had been found inadequate, 41 were deemed to require improvement, and 17 were judged good. This is represented in the chart below.
<img>
Children's services inspection judgements under the single inspection framework, 2012 to January 2016
</img>
During the course of the research, additional children’s services departments have been inspected. Significantly, during this time, two members of the tri-borough authority – Kensington and Chelsea, and Westminster – have become the first local children’s services departments to receive outstanding judgements under the current framework. (The third member of the tri-borough authority, Hammersmith and Fulham, was judged to be good.)
There has been some controversy in the sector about whether the single inspection framework delivers an accurate judgement of performance in all cases, and particularly whether the category of requiring improvement is too broad, and the boundary between good and outstanding is attainable. It is not the purpose of this research to reopen these debates. Rather, the focus of this action research is to pose the question of how local children’s services can best be supported to improve in the context of the systemic challenge posed by the profile of inspection results. A sector in which more than a quarter of services are deemed to be inadequate and, in addition, over a half are not yet good demands some probing analysis. This includes exploring what conditions or actions are most likely to enable services to improve rapidly and in a sustained way, what inhibits that improvement, and where the capacity for improvement is most likely to be found.
There is a second observation that forms an important backdrop to this research. There is currently a lack of a clear evidence base regarding which of the many forms of support are most likely to lead to improvement, and how these might be delivered at sufficient scale to address the degree of challenge currently facing the sector.
\<page_number>10\</page_number> **The aims of the research**
The objective of this research is, therefore, to understand how, in the current financial, political and inspection climate, local children’s services can best be supported to improve rapidly and in a sustained way. The research has sought to answer two central research questions.
c. What are the key enablers of (and barriers to) improvement in local children’s services? d. How can the system as a whole facilitate and support improvement in local children’s services?
In order to fulfil this objective, and answer these two questions, the research has sought to understand:
- the experience of a broad range of local authorities and their partners in the period following inspection, in terms of the actions they took and the constraints they faced;
- the factors or activities that were most likely to support improvement and those which hampered further progress;
- how those factors are influenced by local context;
- whether it is possible to identify an overall improvement journey that local services have broadly followed, and what the stages and phases in this journey are;
- whether there are essential preconditions that must be in place before meaningful improvement can occur; and
- whether some improvement interventions appear to be consistently more effective than others, and the circumstances in which that might hold true.
The research aims to provide a rich evidence base on the challenges and opportunities faced by local authorities in adapting to the current challenging context, combined with practical examples and case studies of good and innovative emerging practice. It is hoped that these will be of direct value both to policy makers in central government and those involved in delivering local children’s services and their partners.
This final report summarises the evidence collected throughout the whole research process. While the initial fieldwork engagement has focused primarily on local authorities, we recognise that truly effective children’s services are a joint enterprise between children’s social care, education, health, the police, corporate functions, the voluntary and community sector, and young people and families themselves. We also recognise that referring to local authorities as the agents of children’s services improvements can be misleading when some responsibilities for delivering local children’s services are placed with independent bodies, such as children’s services trusts. We have sought, therefore, to refer to ‘local children’s services’ as a shorthand for the broad consortia of organisations involved in driving improvement in children’s services in a local area.
**Our approach to the action research**
The action research has been carried out with nine local children’s services. These were selected on the basis of objective criteria designed to ensure that the research covered local children’s services at different points in the improvement journey, as set out below. The final sample of nine was chosen with a view to achieving a balance in terms of size, geography, urban and rural, and deprivation.
\<page_number>11\</page_number>
<table>
<tr>
<td>Region</td>
<td colspan="3">Group 1: Improved inspection outcome<br>Improved to RI<br>Improved to good</td>
<td>Group 2:<br>Inspection<br>outcome not<br>improved</td>
<td>Group 3:<br>Sustained good<br>or better</td>
</tr>
<tr>
<td>South / London</td>
<td>Bexley</td>
<td>Kingston-upon-<br>Thames</td>
<td></td>
<td></td>
<td>Hampshire</td>
</tr>
<tr>
<td>North</td>
<td>Barnsley</td>
<td>North Yorkshire</td>
<td></td>
<td>Doncaster</td>
<td></td>
</tr>
<tr>
<td>East Midlands</td>
<td></td>
<td>Nottinghamshire</td>
<td>Leicester City</td>
<td></td>
<td>Lincolnshire</td>
</tr>
<tr>
<td><strong>Totals</strong></td>
<td><strong>2</strong></td>
<td><strong>3</strong></td>
<td><strong>2</strong></td>
<td><strong>2</strong></td>
<td><strong>2</strong></td>
</tr>
</table>
The action research was carried out in two main phases: an initial phase focused on gathering evidence and establishing a baseline, and a second phase focused on action learning during which we facilitated joint problem-solving and sharing of ideas between the authorities involved.
During the first phase of the research, from December 2015 to February 2016, the team carried out initial fieldwork visits to each of the nine selected areas, interviewed key national stakeholders, and carried out a brief review of relevant published literature and research. During the fieldwork visits we interviewed a cross-section of members and officers including:
- elected members, in most cases the lead member for children’s services;
- Directors of Children’s Services or their equivalent;
- Assistant Directors for social care, or their equivalent;
- Heads of Service with oversight of key functions such as referral and assessment, adoption or looked-after children, or area-based managers;
- frontline team managers and social workers; and
- leaders in key strategic partners, including local health services and the police.
During the second phase of the research we worked with local areas to identify the specific live challenges on which they were working. We brought the authorities together in structured “action learning sets” as a means to solve problems collaboratively and to identify actions to be trialled. We also carried out some additional interviews with senior officers from local children’s services in eight areas to provide a complementary picture to some of the authorities in our sample and to widen our evidence base. These eight areas were: Birmingham, Buckinghamshire, Derbyshire, East Sussex, Medway, Rotherham, Staffordshire and Wiltshire. They were selected using the same criteria we used to identify the nine local areas that took part in the action research.
In the final phase of the project, in May 2016, we invited colleagues from all of the local areas that had participated in the research to attend a final workshop to test and develop the key themes and messages from the project. The diagram below shows the project in its entirety.
\<page_number>12\</page_number> Our approach to the action research
<table>
<thead>
<tr>
<th rowspan="2">Phase 1<br>Qualitative research<br>December-January</th>
<th rowspan="2">Phase 2<br>Interim report<br>Mid-February</th>
<th rowspan="2">Phase 3<br>Action research #1 –<br>February-March</th>
<th rowspan="2">Phase 4<br>Action research #2 –<br>April-May</th>
<th rowspan="2">Phase 5<br>Final report<br>End of May</th>
</tr>
<tr>
<td>Activity</td>
<td>Outputs</td>
<td>Outputs</td>
<td>Outputs</td>
<td>Outputs</td>
</tr>
</thead>
<tbody>
<tr>
<td>Project set up<br>Designing research tools<br>Selection of local areas<br>Interviews with national stakeholders<br>Fieldwork in 9 local areas, including online calls with other local areas</td>
<td>Drafting interim report<br>Discussions with project steering group<br>Developing detailed areas of interest to inform the action research, based on the three research topics</td>
<td>Set up the two action learning sets<br>Agree areas of interest and priority action for individual local authorities</td>
<td>Hold second action learning set engagement<br>Hold first action learning set engagement</td>
<td>Workshop of all local authorities involved to test and disseminate findings<br>Consolidating all the research material into a final report</td>
</tr>
<tr>
<td><ul><li>Project plan</li><li>Research tools</li><li>Write-ups of local area fieldwork visits</li></ul></td>
<td><ul><li>Comprehensive interim report</li><li>Outline areas of focus to form a basis for future research</li></ul></td>
<td><ul><li>Outcomes of the first action learning set written up</li><li>Agreed areas for local area action</li></ul></td>
<td><ul><li>Outcomes of the second action learning set written up</li><li>Facilitated self-evaluations</li></ul></td>
<td><ul><li>Case studies from action research and illustrations of effective practice</li><li>Publishation-ready final report</li></ul></td>
</tr>
</tbody>
</table>
The context in which local children’s services are working
A report by the National Audit Office in November 2014 estimated that the reduction in funding to local authorities between 2010-11 and 2015-16 was 37% (<em>The impact of funding reductions on local authorities, National Audit Office, 2014.</em>) This equated to a 25% real-terms reduction once council tax had been included. The report found that spend on children’s social care had been protected overall (in fact budgeted spend actually rose slightly during the period) and the bulk of savings had been found in other service areas. However, this is during a period in which demand for children’s services has risen. Between 2010-11 and 2014-15, the number of referrals into children’s social care rose by 3%, the number of children in need throughout the year rose by 6%, the number of children subject to a child protection plan rose by 16% and the number of looked-after children rose by 6%. The latest data from local authorities confirms this trend. This has been driven not just by a rising child population in general, but also increasing numbers of young people coming into care later in their lives with complex and multiple needs.
\<page_number>13\</page_number> Chapter 1: The improvement journey of local children’s services
The local children’s services that have engaged in this research represent a broad spectrum in terms of where they are currently on their improvement journey, and the steps they have taken to reach that point. This breadth of experience has given us an insight into the key phases of improvement that local children’s services go through, how they inter-relate, and some broad ideas about the typical timescales associated with each phase.
To describe the improvement journey that local children’s services undertake, we have deliberately constructed a language that is not tied to Ofsted inspection judgements. In presenting the evidence of how children’s services improve we are not seeking to second guess what it might take to reach a particular judgement – that is well described in the Ofsted inspection framework. Instead, we are seeking to set out what characterises the activities that a local children’s service might take, and the support that it might benefit from, as it seeks to improve, or sustain, the quality of service that it provides. We have used the descriptors of poor, fair, good and great and the stages of transition between them to describe the different stages of the improvement journey.¹ The sections below set out some of the broad characteristics of each phase of the journey.
In presenting the phases of the improvement journey, we are not suggesting that the improvement journey is linear, nor that progression through the stages is automatic or straightforward. Indeed, the local areas with which we worked emphasised that improvement was cumulative, and that it was necessary to continue to undertake the activities that had enabled the service to move from poor to fair in the fair-to-good and good-to-great phases of the journey. For example, building the vision, values and culture of the organisation and robust self-assessment are both vital activities in the initial stage of the improvement journey, which must be continued and sustained if improvement is to be embedded. Furthermore, the local areas were also keen to stress that, while there are defining characteristics of each phase, there are also specific risks of “slipping back” at each stage of the journey. In the sections that follow, we identify and describe both.
Poor to fair
We found that improving from the point of having a poor service with serious weaknesses to one that was safe and could be described as fair had two defining characteristics.
First, the emphasis was on putting core systems and processes in place, reasserting control over the system, accurately assessing risk, making sure cases were allocated, clearing backlogs and bringing caseloads down to manageable levels through recruitment and redistribution. Local children’s services talked about the need to ‘steady the ship’ or ‘get the basics right’ in the first phase.
Accordingly, the leadership needed during this period tended to be characterised by “command-and-control” approaches, which defined service standards and processes and then monitored the system hard to make sure they were adhered to. Staff who had experienced a service in crisis or failure that had been successfully turned around frequently referred to the fact that the structures put in place to reassert a managerial grip on the service made them feel safer and less exposed in their roles.
______________________________________________________________________
¹ See, for example, these descriptors used by Mona Mourshed, Chinezi Chijioke and Michael Barber, in their 2010 report, *How the world’s most improved school systems keep getting better.*
\<page_number>14\</page_number> The local areas with which we worked argued, however, that there was a second crucial component of the poor-to-fair journey that was critical to sustaining improvement. As one senior leader put it, the poor-to-fair journey ‘was not just about making the trains run on time’. Focusing solely on top-down leadership would foster compliance in frontline practice, rather than building the foundations for high-quality social work. Many of the social workers we interviewed in participating local areas described how important it was that senior managers engaged them, had a clear moral vision, and focused on quality rather than simply hitting targets.
As such, this second crucial component of the poor-to-fair journey focused on rebuilding the ethos and culture of the organisation. This included developing the long-term strategic direction, a clear approach to delivering high-quality frontline practice, workforce development, and set of organisational values and behaviour. It also involved engaging frontline staff, gathering their ideas, and using their feedback to shape the long-term vision for the organisation. In other words, while the first set of activities aimed to reassert management grip on the service and put in place the core processes, this second set of activities aimed to construct something that existing and prospective staff could buy into, and a touchstone to which leaders and managers could keep referring back in order to maintain focus.
A number of local areas that had either provided support to those which had failed, or that had emerged from failure themselves, reflected on the need to take stock and to assess accurately the specific weaknesses that had contributed to the poor outcomes for children and families. Specifically, they argued that there were two main risks with which to contend during the poor-to-fair journey.
a. **Launching into and imposing a restructure and strategic plan** – local areas spoke of the temptation of launching into a wholesale restructure or new innovation to spearhead a period of turnaround. Indeed, some described the momentum that had been lost in false starts or unnecessary reinvention. There was a strong message that what was needed at this stage was accurate diagnosis and in-depth, open engagement with staff, followed by the relentless application of core systems and processes that are tried and tested, adapted to the local context.
b. **Not getting to a baseline** – the idea of “getting to a baseline” was a recurrent theme during our discussions with children’s services leaders who had been through the poor-to-fair journey. As one experienced senior leader put it, ‘no matter how bad the Ofsted report is, what you will find in reality will be worse’. Children’s services leaders argued for the importance of undertaking a thorough diagnostic across all services to understand the capacity and competency of the organisation, and the quality of frontline practice.
In a number of discussions, senior leaders made the point that it might be necessary during this period to “hold your nerve”: while practice might be improving and foundations being successfully laid, data might still not be improving or initially might be appearing to go in the wrong direction (especially if thresholds needed revisiting).
**Fair to good**
The next stage in the improvement journey, from fair to good, was, in some respects, seen as harder to crack than the first stage. The activities that local areas described during this phase were markedly
\<page_number>15\</page_number> similar to those identified in the preceding section. There were, however, three subtle shifts of emphasis in how local areas approached improvement in the fair-to-good stage of the journey.
First, in this phase, there is an emphasis on vigilance and developing the capacity for ongoing, robust self-assessment. One authority that had been in intervention spoke of the importance of avoiding the trap of thinking that, once the intervention had been lifted and an external improvement board was no longer in place, the focus on children’s services improvement could be reduced. Local areas saw that avoiding the risk of “slipping back” required:
- recognition that improvement was a long-term process, of which the poor-to-fair stage was only a very short first section;
- an ongoing commitment to a long-term strategic plan for sustaining improvement; and
- developing the capacity for self-assessment and putting in place effective mechanisms for oversight, scrutiny and challenge, including from elected members, the Local Safeguarding Children Board (LSCB) and well-chosen external critical friends.
For improvement to be sustained, the local areas argued, these characteristics needed to become embedded within the day-to-day organisational culture of children’s services and partner agencies. In other words, a key aspect of the fair-to-good stage of the journey is fostering a clear-sighted, evidence-informed culture of improvement that shapes and reinforces day-to-day practice.
Second, at a leadership level, the locus of leadership, which may necessarily have been of a more directive, strategic-level nature during the poor-to-fair stage, starts to shift from senior leaders to middle managers. Improvement becomes something that is owned more broadly across the organisation, rather than something that is done and led by senior leaders. At this point, the emphasis shifts to enabling middle leaders and frontline staff to take greater ownership of decision-making, to apply quality standards confidently, and to develop routines that would embed a culture of continuous self-improvement. Likewise, in relation to partnership working, at this stage of improvement local authorities also saw the nature of their engagement with partners shift from working in parallel towards common goals to more genuine multi-agency working at both strategic and operational levels.
Third, the emphasis of improvement activities shifts from addressing specific “mission-critical” service areas (such as the front door) to considering all children’s services as an interdependent system, and on ensuring the consistency of practice across all parts of that system. There is recognition that initial improvements may not have benefited all parts of the organisation equally, and that practice and quality are not yet consistent across all teams. In several instances, local areas described how, at this stage of their journey, they had a well-functioning front door in operation, but an underdeveloped early help, targeted family support and preventative offer or, alternatively, growing numbers of children in care.
The watchword for local areas during this phase was avoiding complacency and the subsequent loss of focus on improving children’s services. Senior leaders described the risk that senior political and corporate leaders within the local authority and in partner agencies, who may have played a pivotal role in ensuring commitment to and investment in the initial improvement activities, may think that the problems in children’s services had been addressed and would be less engaged. Local areas that had successfully avoided this risk described how they had developed a detailed plan for continuous improvement, to which political leaders, corporate leaders and partners were signed up.
\<page_number>16\</page_number> The Continuous Service Improvement Framework: Barnsley
Having been issued with an improvement notice in 2012, Barnsley had a positive experience of working with an improvement board and an independent chairperson. The challenge, for Barnsley, was how to maintain pace and embed improvements after the improvement notice was lifted. To this end, Barnsley developed the Continuous Service Improvement Framework. This aims to align key elements of improvement so that they are working in tandem to improve services and outcomes. These include:
- a plan for continuous service improvement delivered by partners working together;
- robust and clear system governance – through the children’s trust board, scrutiny from elected members, and the Barnsley Safeguarding Children Board; and
- developing a culture of respectful challenge and making the voice of the child part of business-as-usual for all services and agencies.
Working within the framework, partners have been able to drill down into priority areas in order to embed and spread improvements in frontline practice. The front door has been a key area of focus, and improvement work has resulted in a decrease in the volume of referrals to the service. There have also been reductions in the numbers of child protection plans in the last two years, and improved permanency planning for children in care. *Read the full case study in the annex of this report.*
Good to great
For those local children’s services that were moving from good to great, or were sustaining excellence, the tempo and focus of improvement shifted again. We identified two significant characteristics of this stage in the improvement journey.
First, having focused initially on “mission-critical” aspects of the social care system, and then turned their attention to embedding improvement across children’s services as a whole system, the emphasis in the good-to-great stage of the improvement journey was on maintaining a consistently high standard of practice across all services. In some ways, this is simply a continuation of the activities that characterised the poor-to-fair and fair-to-good stages of the journey – rigorous analysis of and relentless focus on the quality of frontline practice. What was distinctive about this stage, as described to us by the local areas that we engaged, was that improvement had ceased to become a “project”, something discrete from core business, and had become “the norm”, part of “what we do”.
Improving outcomes for children on the edge of care: North Yorkshire
North Yorkshire has achieved significant improvements in children’s services since 2009, recently being named as one of the DfE *partners in practice*. Key to this success has been a long-term whole-service strategic plan for embedding effective and consistent frontline practice, and on shifting the focus of support over time from statutory services to prevention and early help. This has three elements. First, North Yorkshire has focused on strengthening routes into children’s services and ensuring consistent decision-making by means of a multi-agency customer contact centre. Second, it adopted a strategic approach to placements and permanency, with weekly routines to ensure
\<page_number>17\</page_number> oversight of those entering and in care, and the innovative *no wrong door* approach to provide tailored early support for young people on the edge of care or entering care late in their lives. Third, performance improvement groups enable leaders and managers to exercise ongoing forensic scrutiny of practice. As a result, between 2012 and 2016, there has been a significant reduction in referrals and conversion of referrals to assessments has risen (from 64.9% to 97%). Child protection plans have reduced (by 36%), as has the number of looked-after children (by 15%). Financially, £3million is no longer being spent on the looked-after children budget, enabling further investment in prevention and early help. *Read the full case study in the annex of this report.*
Second, these areas continued to focus on the routines designed to ensure consistent high-quality practice and management of risk. In this stage of the journey, these routines have become so well embedded and understood that these local areas are also able to embrace disciplined innovation as a way to improve service delivery and make efficiencies. Openness to challenge, through both external and internal peer review has also become the norm. Planning is longer term, takes place across the whole partnership, and is absolutely rooted in securing the best outcomes for children.
Increasingly for these local children’s services there is the scope to become “system leaders”, systematically sharing their expertise with others and learning from the experience of doing so. We return to this theme in chapter 3. Among the local areas with which we worked, there were some that saw themselves as having successfully navigated each stage of the improvement journey, having been poor and now being on the way to becoming great. They recognised, however, that even local authorities that were ostensibly good could be vulnerable to a loss of focus on key service areas, which could result from key staff leaving or becoming overstretched if they were involved in supporting other local areas. They recognised the importance of embedding improvement so that it was not dependent on a few key individuals in leadership roles.
Local areas that were involved in system leadership roles were considering carefully how they built up the strength and depths in their organisations so that members of staff were able to step up into new roles, either working externally to support others or taking on greater responsibility within their own service. These local areas saw that, if done correctly, this could offer considerable benefits in terms of being able to offer high-calibre staff a range of routes through which to develop themselves and progress in their career.
**Summarising the improvement journey**
A key finding of this research has been that the activities of local areas at each phase of the improvement journey are consistent, continuous and cumulative: local areas that might see themselves as being in the good-to-great phase had not stopped doing what had got them through the poor-to-phase. What had enabled them to sustain their improvement was precisely that they had continued, embedded and built on these activities. Nevertheless, there are distinct emphases and risks that define each stage of the improvement journey. These are summarised in the diagram below.
\<page_number>18\</page_number> Defining characteristics at each stage of the improvement journey
<table>
<tr>
<td>The three phases</td>
<td>Defining characteristics</td>
</tr>
<tr>
<td>Poor-to-fair</td>
<td>1. Getting the basics right – driven by leadership<br>2. Building the ethos and culture – & engaging the workforce</td>
</tr>
<tr>
<td>Fair-to-good</td>
<td>1. Capacity for robust self-assessment, vigilance<br>2. Locus of leadership shifts and becomes more broad<br>3. From “mission-critical” aspects to whole-service view</td>
</tr>
<tr>
<td>Good-to-great</td>
<td>1. Improvement no longer a discrete project – it is the norm<br>2. Disciplined innovation embedded within delivery<br>3. Openness to others – challenge & system leadership role</td>
</tr>
</table>
The timeline of improvement
Evidence from the fieldwork engagements demonstrated that improvement in children’s services was seldom perfectly linear and smooth. Even those children’s services with an impressively rapid trajectory described challenges and setbacks along the way. One very consistent message made by the local areas that took part in the research, however, was that securing sustainable improvement was a long-term endeavour. This is to do with the scale, pace and complexity of a typical children’s service. Local areas highlighted three factors that might influence the speed with which progress was made.
a. The depth and extent of the initial service failure. Among local authorities judged inadequate for children’s services there was perceived to be a difference between those children’s services where, on the one hand, a small number of crucial elements of the system had become unsafe and jeopardised the quality of the service overall and, on the other, those areas where almost all parts of the system displayed serious and critical weaknesses so as to leave the entire system in a state of crisis. If the service had been failing for a significant period of time, this could also have had a knock-on effect on the children and families being supported by children’s services. For example, those older children preparing to leave care may have had experiences marked by having been taken into care too late, and having been through a series of disrupted and unsuitable foster placements. These factors would influence the complexity of their needs, and the demands placed on services such as leaving care. Typically, and unsurprisingly, local areas that had experienced a history of weak children’s services saw that their improvement journey would take longer than those where weaknesses were contained within some specific areas of practice.
b. The length of time it took senior leaders, including political and corporate leaders as well as senior children’s services officers, to recognise fully and accept the weaknesses in the service. Local areas emphasised that this was an essential precondition to making progress.
\<page_number>19\</page_number> Unless there was full and frank acknowledgement of what had gone wrong by those in positions of authority, no meaningful work could take place to put things right.
C. The effectiveness of the initial response to failure. A number of local areas that had improved from poor to fair, or better, described how it was very easy in the early stages after an adverse inspection to embark on the wrong set of actions to kick-start improvement, or to become overwhelmed by factors such as the mass exodus of permanent staff which often follows a poor inspection.
The first two of these factors relate to the conditions that need to be in place before a local children’s service can start making improvements, and what may need to be done to get to the “starting-line” of their improvement journey. The third relates to how effectively a local area starts the improvement journey.
Notwithstanding these differences, many of the local areas that took part in the research described a similar experience in terms of the timescales required for the different phases of the improvement journey. Most local areas suggested that the time needed to get from a poorly functioning service to one which was fair – safe, effective, well-managed and doing the basics well – was around two years. If, however, leaders and partners were not willing to recognise the scale of past failure and if there was not the leadership, partnership-working and governance to support what was required to address those weaknesses, then the poor-to-fair phase could take longer.
Those that had recently undertaken this journey further compartmentalised this phase into an initial diagnostic stage which might last from four to six months. During this time, the extent of weakness in the service would be accurately assessed and a firm strategic plan developed through ongoing and open engagement with the workforce. Leaders spoke of the importance of getting to a baseline position of understanding the organisation’s capacity and competency, and getting into the detail of frontline practice to assess where there were weaknesses as well as any specific areas of strength. This would then be followed by a further six months during which the focus was on strengthening the core systems and processes – putting in place the essential ‘wiring’ that enables a children’s service to function. Several local areas described the focus during this first year of the improvement journey as being on ‘stabilisation’ of the service. In particular, they emphasised the importance of ongoing engagement with the workforce throughout this process to ensure they felt valued, to build their confidence and skills, and to avoid a mass exodus of staff who had been disengaged by the imposition of a new structure or practice model.
Year two was then devoted to rigorous implementation of the new systems. This meant the diligent monitoring of performance information and use of audit to systematically identify those parts of the system which were not working well and putting in place actions to address these weaknesses. One local area described that, after the focus in year one on stabilisation, the focus in year two was on ‘getting back to good social work’, using monitoring, audit and other quality-assurance routines to assess the quality and consistency of practice and solve problems iteratively.
A small number of local areas in our sample had made the entire improvement journey from poor to great. Those that had done this described it as a five-year journey. The period from fair to good, and in some cases on to developing a great service, was seen as requiring roughly three years, and was characterised by the relentless pursuit of quality in practice, the embedding and normalising of improvement routines, disciplined innovation, and eventually looking to reach out beyond the service
\<page_number>20\</page_number> to provide more system-wide leadership. A broad timeline of the improvement is captured in the diagram below.
**Estimated timescales for each phase of the improvement journey**
<img>
Two years from the frank recognition and acceptance of the service’s weaknesses to running a safe, effective core service
Poor-to-fair
Fair-to-good
Good-to-great
Three years to develop a safe, effective core service into a consistently high-quality, innovative service
All the while engaging the workforce and working with partners
6-8 months Change process to diagnose extent of weakness and develop robust plan
6 months Establish new systems, clear backlogs, secure resources, ‘stabilise’ the service
1 year focus on iterative consultation, quality assurance & problem solving
Pursuit of quality in practice
Normalising improvement routines
Disciplined innovation
System leadership </img>
These are intended to be indicative timescales, based on the experiences of the children’s services that took part in the research. It is not meant to imply a one-size fits all model: some local areas will progress more quickly; others will do so more slowly, depending to some extent on the factors outlined above. For all, there is a risk that this is not a simple, linear progression, and there are risks of slipping back at each stage of the journey. We hope that setting out the stages and timescales of improvement, and the defining characteristics, rough timescales, and attendant risks at each stage, may provide a useful means of orientating how local areas plan to improve and sustain effective children’s services.
\<page_number>21\</page_number> Chapter 2: Key enablers of improvement in children’s services
The fieldwork visits and the action learning phase of the research both afforded a clear insight into the actions that local areas were taking to secure improvement. We identified seven clear areas of activity that, taken together, provide a way for local children’s services to address the challenge of improvement. Interestingly, these seven areas of focus were remarkably consistent across areas irrespective of their starting point in terms of the quality of children’s services delivered. They are, to some extent, the DNA of a well-functioning children’s services system. It is also the case, however, that the way these different enablers were applied, and the focus and attention afforded to each, differed depending on where the local authority was on its improvement journey. The diagram below summarises the key enablers of improvement, which are then explored in greater detail.
<img>A table with seven columns and eight rows, titled "Seven enablers of improvement in children's services". Each row represents one of the key enablers.</img>
**Enabler 1: Strategic approach**
Any attempt to deliver long-term and sustained improvement at scale, irrespective of the service area, requires clarity of vision and a well-thought-through strategy. It is therefore no surprise that, in our conversations with local areas, the importance of the strategic vision came through strongly. There are, however, a number of specific elements to the development and communication of an effective strategy for children’s services that are worth highlighting.
The first issue, which was raised with us by a number of the lead members to whom we spoke, is that, brutally speaking, children’s social care is not an issue that wins votes. For a local politician, to her or his constituents, the issues which will continually be brought to their attention tend to relate to environment, planning, refuse collection, transport or education. Very rarely will a well-functioning children’s services department contribute to a councillor’s chances of being elected or to their relationship with residents. The point at which children’s services does enter the political spotlight is on the rare occasion when something goes disastrously wrong, and in that situation it can rapidly
______________________________________________________________________
\<page_number>22\</page_number> become a vote-loser. At that point, however, in the throes of handling the crisis, it can be too late to engage a council’s political leadership in the development of a well-planned, long-term strategy.
The development of such a strategy must, therefore, start at the very top of the organisation. Ongoing and effective dialogue between elected members and senior officers are vital to establishing:
- the moral imperative for sustaining an effective children’s service;
- sufficient understanding by elected members of how the service manages risk and the implications of the council’s statutory obligations; and
- the long-term political commitment to investment, leadership and scrutiny.
The second feature of children’s services is that they are highly multifaceted services that involve hundreds of decisions being taken on a weekly basis by staff working across multiple teams and organisations. The complexity of the lives of many of the children who come into contact with children’s services means that, over an extended period, they are likely to be supported by a large number of staff, often working across organisational boundaries. It is perhaps no surprise, therefore, that one of the watchwords associated with the development of the strategic vision in our fieldwork group was ‘consistency’.
Local areas emphasised the importance of setting out the vision, clearly and simply, and then reiterating it frequently so that it was fully understood by staff and partners. This was even more the case for local children’s services experiencing the sort of turbulence that can follow an adverse inspection judgement in terms of staffing or leadership. In these situations, establishing the core principles and strategic direction of the service, and then sticking with that through the vicissitudes of implementation, was seen as particularly important.
Crucially, local children’s services distinguished between developing a short-term plan to address a crisis from a long-term, evidence-based strategic plan developed through close engagement with leaders, managers, frontline practitioners and service beneficiaries. They argued that developing a plan for addressing immediate and urgent issues had its place, but only the consistent application of a strategic approach could deliver sustained, service-wide improvement.
A further key determinant of the effectiveness of the strategic vision was the local authority’s capacity for honest self-appraisal. For those local areas seeking to improve after an adverse inspection judgement, it was clear that the speed of improvement was closely related to the authority’s and other partners’ ability and willingness to step back, take a close, hard look at their capacity and quality, take on board the findings of the inspection, and put in place a pragmatic plan for addressing weaknesses. One Director of Children’s Services described this process as ‘getting into the weeds’. Many of those local children’s services that had made slower progress had not been able – or willing – to undertake such a dispassionate and forensic embracing of their areas of weakness. Rather than embracing external feedback and moving forward, these local areas had lost valuable time and energy in attempting to defend a poor-quality service.
It was not only in the period immediately following an inspection, however, that honest and critical self-appraisal was needed. A number of local areas some way down the improvement journey described the importance of maintaining a robust and current understanding of where children’s services may be vulnerable – for example, due to staff turnover or changes in leadership of key services. Those local children’s services that had sustained good or better practice over a number of
\<page_number>23\</page_number> years were often characterised by their openness to challenge, commitment to internal or external peer evaluations, and their honesty about areas of concern. Precise diagnosis, and clear actions arising from this, was seen to be critical to developing a strong strategic plan at any stage in an authority’s improvement journey. Critically, these characteristics were hardwired into the organisational culture of children’s services departments and partner agencies.
It was clear from our fieldwork that the way the strategic vision is created and refreshed evolves as local children’s services progress on their improvement journey. Some of the critical differences are exemplified in the table below.
<table>
<tr>
<td>Poor-to-fair</td>
<td>Fair-to-good</td>
<td>Good-to-great</td>
</tr>
<tr>
<td>Clear and honest diagnosis of weaknesses and their causes.</td>
<td>Building systems for ongoing self-evaluation.</td>
<td>Systems for honest appraisal and continuous improvement fully embedded.</td>
</tr>
<tr>
<td>Developing a collective commitment and understanding between elected members and senior officers.</td>
<td>Increasingly mature dialogue and scrutiny between elected members and senior officers.</td>
<td>Incisive and productive scrutiny at the political level.</td>
</tr>
<tr>
<td>A clear, simple vision developed by leaders, communicated often, delivered through the organisation, and underpinned by a strong, values-led organisational culture.</td>
<td>Greater opportunities for middle managers and social workers to contribute to and shape the vision.</td>
<td>Strong shared culture in which the long-term vision is co-created with staff and partners.</td>
</tr>
<tr>
<td></td>
<td>Wider consultation with partners and community informing the strategic plan.</td>
<td>Listening to the voice of children and families enables the service to assess and refresh its strategic plan.</td>
</tr>
</table>
**Enabler 2: Leadership and governance**
Closely allied to the concept of a consistent and principled strategic vision, as described above, is the effectiveness of the leadership of children’s services. Senior leadership within children’s services – the Director of Children’s Services, their Assistant Directors and Heads of Service – clearly have a vital role to play in driving and sustaining improvement in children’s services. During the research, local areas described the importance of both achieving stable leadership and of certain qualities of leadership.
Experienced leaders, middle managers and frontline social workers described four key leadership qualities that they considered to be vital in driving improvement and sustaining high-quality children’s services. These were seen clearly in those local areas that had improved rapidly or had sustained strong children’s services.
a. **Relentless pursuit of quality** – the unmitting flow of new cases into children’s social care and the ever-changing nature of the business requires a leadership approach that combines stamina and perseverance. b. **Sustained, informed and demonstrable engagement in frontline practice** – the most effective senior leaders demonstrated a clear understanding of the complexity of social work practice, and used tools such as audit and frontline visits both to keep in touch with the quality of frontline practice and to remain visible and accessible to staff.
\<page_number>24\</page_number> c. A firm focus on the detail, without losing sight of the bigger strategic vision – this manifested itself in leaders who knew their service well and consequently could manage risk intelligently, while communicating effectively about the connection between frontline practice and the overall vision and strategy.
d. Able to model the behaviour, values and service standards that they expected from their organisation – particularly through their determination, commitment and focus on putting children and families first. The need for leadership that was visible was a point that was made many times to us: leaders who were able to engage directly with social workers on visits, review cases with them, and engage in active performance management.
The social workers we engaged echoed these points. They described how important these characteristics were in engendering trust between senior leaders, middle managers, and frontline professionals. They recognised that, by their very nature, their jobs involved high stakes and exposed them to risks. Feeling like they were trusted and supported by their immediate managers and senior leaders was an essential part of making them feel safe in their roles.
As such, while the characteristics above relate to senior leaders within children’s services, an important part of driving and sustaining improvement within local children’s services is empowering and enabling middle leaders to adopt and develop these leadership traits. As we have described in chapter 1, an important shift during the improvement journey is from a more directive leadership approach at the outset to more distributed leadership with middle leaders playing an increasingly vital role. Maintaining, or establishing, an effective group of permanently employed heads of service and team managers was cited as a critical element of the improvement journey in all the local authorities we visited. This is one of the most important levels of the organisation in providing oversight and supervision to frontline social workers, monitoring and auditing cases, and connecting with senior management in investigating issues and solving problems. Performance groups and other fora where middle managers met regularly to review evidence about the quality of frontline practice, if run effectively, could play an important role in embedding a culture of mutual support and challenge across teams, and helping to maintain the consistency of frontline practice.
Conversely, many of the local authorities that had experienced failure or significant weakness in their services reflected that one of the key contributing factors was a lack of capacity in middle-leadership posts which meant roles became unsustainable, or lack of clarity in decision-making delegation and responsibility which left both middle leaders and frontline staff exposed.
Those local areas that sustained good children’s services over a significant period of time attributed much of their success not only to the characteristics of their leadership, but also to maintaining stability in key children’s services leadership positions. They argued that consistent leadership in key children’s service leadership positions – Director, Assistant Director and Head of Service – had enabled commitment to a long-term strategy, which in turn had bred investment in frontline practice, consistent decision-making and commitment both to and from the workforce.
For children’s services looking to improve after an adverse or challenging inspection outcome, leadership stability was also deemed important, but necessarily had a different complexion. Of the six local authorities in our sample that had previously been judged inadequate, the senior leadership was replaced in four. In many cases, this was seen to be a necessary precursor to getting the service back on track. There are, however, also cases in which rapid and sustained improvement has been achieved
\<page_number>25\</page_number> without a change in senior leadership. Clearly, the capacity of the leadership of children’s services to drive improvement will be a crucial determinant of whether a change of leadership is required or not.
Irrespective of the decisions made in the immediate aftermath of inspection, it is undoubtedly the case that, once the right leadership is in place, stability and continuity in leadership have played a critical role in enabling sustained improvement over a period of time from children’s services looking to progress from a low base. This helped to establish consistency in the implementation of the strategic plan, engagement and development of the workforce (to which we turn in the next section), and the continuous holding to account of the service.
Just as effective, stable leadership is needed throughout children’s services, and not just from senior leaders, so too improving and strong children’s services require effective support from a council’s political and corporate leaders. During our research, we found that a council’s corporate and political leaders could play a crucial role in catalysing children’s services improvement. For example, several of the local areas with which we worked described how strong leadership from political leaders and the chief executive had been crucial in avoiding falling into denial and in responding constructively to an adverse Ofsted inspection.
Conversely, where political and corporate leaders do not recognise the full scale of issues in children’s services, this can impede the pace and effectiveness of improvement. Local areas described to us how, in many local areas that had got into difficulty, there had been a lack of understanding of and engagement in children’s services from political and corporate leaders. Children’s services had been seen as “the domain of the Director of Children’s Services”, and there had been a lack of oversight from corporate leaders. A vital pre-condition for improvement was building up not just their engagement, but also a deep understanding on the part of political and corporate leaders of what a good, safe and well-functioning children’s service looked like. For a local area to sustain improvement, and avoid the risk of “slipping back”, political and corporate leaders needed to understand the long-term and ongoing nature of children’s services improvement. Furthermore, they needed to understand that their engagement in the process of improvement was as important in years three and four as it was in years one and two.
Furthermore, political and corporate leaders also play crucial roles in planning and sustaining improvement, anticipating and managing risks, and ensuring high-quality frontline practice. Lead members, working with their cabinet colleagues, can play a crucial role not only in scrutinising children’s services, but also helping to create an enabling environment for improvement by continuing to articulate the council’s improvement priorities and encouraging other services to support this agenda. Likewise, the role of political and corporate leaders, through a council’s corporate parenting arrangements, is vital in ensuring effective support and outcomes for children in care. As we have described in chapter 2, developing effective support for children who are looked-after has been an important part of the work of those local areas that have sustained improvement from poor and fair towards good and great.
We talk more about the need for effective governance, bringing together the local authority and key partner agencies, in the section below about engaging partners. Nevertheless, within local authorities, it is also important that there are effective mechanisms that ensure ongoing oversight of the children’s services improvement strategy by political and corporate leaders, as well as effective and informed scrutiny from elected members.
\<page_number>26\</page_number> **Enabler 3: Engaging and supporting the workforce**
The third key pillar of improvement, or sustained good practice, identified by the local authorities in our sample was the engagement of the workforce. The first prerequisite here was getting sufficient permanent long-term staff in post to deliver a stable and well-functioning service. This was demonstrably not the case in many of the local authorities which had been judged inadequate, and remained a key challenge for many of the authorities improving from requiring improvement to good. One local authority, for example, described how, at the point at which the inadequate judgement had been made, the service was operating with over 70% of its social work staff as short-term agency workers. Teams described the turbulence this created, with staff leaving and new staff joining on a weekly basis and no consistency of practice, decision-making or culture. The same authority, having made significant progress in addressing many areas of concern, was still contending with a high proportion non-permanent staff, although more of these were choosing to stay for longer periods, creating a greater sense of stability. Another local authority that had improved from inadequate had reduced its reliance on agency workers from 50% to 4%.
The issue of recruiting sufficient permanent staff is not solely a challenge for local areas improving from a low base. One local area that had maintained good or better services for many years described how its local labour market, with the close proximity of a high number of neighbouring authorities aggressively recruiting through higher salaries and use of agencies, led to a greater reliance on non-permanent agency staff (at around 20%) than they would wish.
Despite the challenges, however, local areas were developing a number of successful approaches to recruiting sufficient high-quality staff. For example, many of the nine local areas we visited were actively growing their own social work staff through use of social work academies. A number of authorities were also recruiting from abroad, and many were thinking imaginatively about the range of incentives other than simply a higher salary, such as flexible working or enhanced career prospects, which might induce people to apply for social work positions.
Of course the corollary of recruiting high-calibre staff, in establishing a stable and engaged workforce, is taking active steps to retain those staff already in the service and develop them into effective practitioners. Interestingly, many local areas reflected that even in a service that has been poorly rated the vast majority of staff, with appropriate support, guidance, supervision and structures, can go on to thrive in an improving or good service. They saw the role of leaders and experienced practitioners as articulating high expectations, but also providing clear support and scaffolding about what high-quality frontline social work looked like. Wholesale replacement of staff, therefore, appears rarely to be the solution to failure. One of the pitfalls highlighted to us by local authorities was responding to a crisis by not only rushing to change the personnel but also rushing to reorganise the structure. Having the courage to take the time to consult widely and agree a structure that was right for, and enjoyed broad support across, the organisation was identified as a key trait of effective leadership when tackling underperforming children’s services.
Those areas that were most successful at retaining their workforce were crystal clear about creating a safe environment in which social workers could operate. This meant having good supervisory arrangements, active caseload management, a clear structure for delegating and escalating decisions, and appropriate procedures in place that were understood and owned by staff. As one social worker
\<page_number>27\</page_number> we interviewed put it, ‘if you look after your workers, they will look after your service. If staff feel valued, they will value the work they are doing.’
**Social Work Support Officers: Nottinghamshire**
Nottinghamshire ran a 12-month pilot to test the use of Social Work Support Officers (SWSOs). Four frontline teams were supported by SWSOs, with one SWSO to five social workers. The role was designed to take routine administrative tasks away from social workers (such as booking meetings), leaving more time for social workers to work with the children and families they were supporting. Another success criterion for the pilot was to improve morale in the pilot teams with the aim of improving retention and reducing the need for agency staff. The authority surveyed both the SWSOs and the frontline teams throughout the pilot, and compared the results with the workforce survey data that was being collected from other teams. The results were extremely encouraging. The data from the pilot frontline teams supported by SWSOs suggested that they had better morale, better work/life balance, and better attendance than the social workers in the non-pilot teams, as well as having more time for direct work with families. While it is not possible to say definitively that all these outcomes were due to the SWSO pilot, the role played by the increased support to the pilot teams was obviously significant. The SWSO role is now being extended to other child protection teams. *Read the full case study in the annex of this report.*
Another important aspect of retaining high-quality staff is having a well-thought-through and active approach to career development and talent management. That meant creating opportunities for effective staff to accelerate into positions of greater responsibility and leadership as well as taking swift, fair and decisive action with the small minority of staff unable to meet the demands of the role.
There is, however, a careful balance to be struck between the necessary steps being taken to widen the recruitment pool for the purposes of filling vacancies and efforts to retain more senior and experienced staff. In more than one local area we were told by social work staff that the caseload protection that had to be given to newly-qualified social workers could lead to the caseloads of more senior members of the team becoming unsustainable. Monitoring the ratio of newly-qualified staff to experienced staff in any single social work unit is therefore an important part of any staff recruitment and retention strategy.
**Creating a talent pool and understanding social workers’ career motivations: Lincolnshire**
Lincolnshire reviewed their recruitment and retention strategy and workforce data, and identified a number of social workers that left once qualified (typically within two or three years of starting employment). They undertook a workforce pilot to identify with team managers staff who were performing well and likely to need a change of role in a given timeframe, thus creating a “talent pool” for the future and eventually reducing reliance on agency workers. The pilot also aimed to understand the career aspirations and motivations of social work staff. Lincolnshire sent invitations to 123 staff to take part in two personality profiling questionnaires that considered working styles and preferences, behaviour and motivators (both positive and negative). The results of the tests are being analysed and used to create a map of behavioural profiles. They show some interesting motivators and preferences across the workforce, and suggest a range of questions to be investigated in more depth. The data should be very useful in helping to inform career trajectories for staff, develop training programmes and toolkits for social workers, and help job descriptions to
\<page_number>28\</page_number> better reflect the skills and behaviour needed for new employees. In time, it should also be able to influence a refreshed workforce strategy and help the authority to ‘know its workforce’ more deeply. Lincolnshire also want to understand how the profile results compare with staff in other local authorities and are keen to enable other local children’s services to undertake similar exercises. *Read the full case study in the annex of this report*.
One local area that took part in this research had sought to understand the retention benefits that were most likely to attract and keep high-calibre social workers. It found that while salaries were seen as important, they were not the most important factor. Instead, the key contributing factors were found to be:
- keeping caseloads manageable – so that social workers have time to engage with children and families;
- the quality of line management and supervision – they have observed a clear connection between the calibre of the individual line manager and the stability of the social work team;
- training and development – including secure career pathways to advanced practitioner status or team manager roles or the opportunity to specialise, for example in areas such as preventing domestic violence; and
- making the practicalities of the job easier – for example being able to use their car to visit families, park at work, and to be supported by technology to work remotely and have flexible working options – the use of technology in particular was mentioned by several local areas as showing commitment to staff.
As one social worker put it, ‘we bin things that are not very good, and we keep really good evidence-based practice’.
**Stabilising the workforce: Achieving for Children, Kingston-upon-Thames**
Kingston found that, counter to their expectations, the turnover in social work staff increased after they were judged to be good. To address this issue, and to recreate the essential stability in their workforce and team management structure, they instituted a programme of assessing, through staff surveys and exit interviews, what was causing social workers to leave. Based on the findings of this analysis they established a social care workforce board to re-professionalise their approach to recruitment and retention. Crucially, this focused not just on social workers, but also on recruiting permanent team managers – one of the key findings of the initial diagnostic phase was that social workers left when they no longer felt they had consistent team management. The service has now strengthened their ‘retention offer’ through better training pathways, progression, talent management and oversight by heads of service. This is paying dividends – all team leader posts have now been recruited into and the vacancy rate for social workers is heading back towards 10%. *Read the full case study in the annex of this report*.
The final critical aspect of creating a stable, effective and engaged workforce is engendering a commitment to high-quality social work at all levels of the system. Those children’s services that were securely good were very confident that staff at all levels understood what high-quality frontline social work practice looked like. One authority commented that much of its work was about managing risk,
\<page_number>29\</page_number> and it was vital that staff throughout the organisation understood this. There was a commitment to ongoing training and development, healthy competition between different teams, and frequent opportunities for staff to observe practice in other areas of the service, for example through internal peer review structures. Local areas seeking to improve from fair to good and great reflected that inculcating a consistent understanding of high-quality social work was one the most challenging aspects of making the leap to a genuinely high-functioning service.
**The Practice Improvement Programme: Doncaster Children’s Services Trust**
In 2014, the first independent children’s services trust was established to deliver children’s services on the council’s behalf. The direction that established the trust includes the goal that children’s services are judged good by 2017 and outstanding by 2019. Doncaster Children’s Services Trust’s leadership recognises that achieving sustained and rapid improvement will depend on building the capacity of the workforce. For this reason, the trust has launched the **Practice Improvement Programme**. This has three elements:
- a **staff learning and development programme**, based on latest policy developments and research, to ensure staff have a consistent set of core skills;
- a **bespoke programme of individual and group coaching and mentoring** to develop the skills of team managers and advanced practitioners; and
- **practice advisers**, who work with frontline social work teams to embed effective practice and build capacity.
The aim is to embed learning in frontline practice. Recent staff feedback has been overwhelmingly positive. Case audit is demonstrating a change in approach to using evidence-based tools and in the quality of assessment and recording. There are also improvements in workforce stability, with a reduction in the rate of agency staff from 18% to 9%, and with 15 former agency staff now becoming permanent. Sickness absence has reduced, and long-term sickness has reduced by half. *Read the full case study in the annex of this report.*
**Enabler 4: Engaging partners**
The multifaceted nature of children’s services means that local authorities cannot succeed in delivering a high-quality service on their own. The effective engagement of institutional partners and the intelligent use of external support and challenge to cement partnerships were characteristics of the areas that had either made sustained progress or had consistently maintained a high-quality service.
No areas, however, were complacent or underestimated the complexity of engaging partners effectively, and the many different contexts in which partners interacted meant that there was no simple or single approach. Nonetheless, it is possible to draw out some key elements which are likely to facilitate the development of good partnerships. At a senior level, a close working relationship between the small number of people with real decision-making power and responsibility was seen as absolutely critical. For a Director of Children’s Services, for example, knowing their counterpart in the health services and the police, and having the sort of relationship that could be used to unblock barriers, was vital.
\<page_number>30\</page_number> At the frontline there was a clear dividend associated with the frequency and consistency of communication. A common stumbling block was the lack of alignment over thresholds which, when unresolved, rapidly led to lack of trust and frustration. Those areas that had a multi-agency safeguarding hub (MASH) team with strong engagement from partner agencies strongly advocated the benefits of this.
The value of a highly effective LSCB chair and a well-functioning board was also emphasised. At their best these bodies provided genuine scrutiny, oversight and accountability to partners as equals in a shared commitment to keeping children safe. They were able to ask intelligent and probing questions and would complement the authority’s own audit, scrutiny and governance procedures. Those local authorities that had been subject to an externally-chaired improvement board often spoke highly of the impact that an effective external chair could have in bringing partners to the table, facilitating swift decision-making and holding partners to account for progress.
One local area described the ‘tenacious’ focus of the independent chair of its improvement board, which had made a significant contribution to its progress. The board used the data to focus on the 10 to 12 areas for development that were proving the most difficult to shift. The chair would then personally follow up what she had been told at the board through deep-dive investigations into practice and meeting with groups of social workers to triangulate the qualitative and quantitative evidence. Local areas that had achieved and sustained improvement described the role of partnership governance arrangements, as well as regular engagement in sector-led networks, as a crucial means of remaining outward-facing, retaining aspects of independent challenge and avoiding the risk of “group-think” setting in.
In addition to having mechanisms, such as a well-functioning LSCB, for maintaining effective partnerships at a strategic level, local authorities and their partners also highlighted the importance of multi-agency audits as a mechanism for driving improvements in multi-agency working at an operational level. They argued that a genuinely joint approach to planning, carrying out and reporting back from audits of frontline practice was crucial to ensuring that the audits were owned by partners collectively and that the learning was translated into improvements in practice across the work of all partners. One local authority also described the importance of a really well-functioning independent reviewing officer (IRO) service and skilled child protection conference chairs as an important element of operational scrutiny. In this authority, which had previously been inadequate, the IRO and child protection conference chairs had been outsourced and the contract was poorly managed and ineffectively delivered. As part of its improvement plan, the service was brought back in-house and strengthened. Senior managers described how it had evolved to provide really constructive challenge and thoughtful support. It was ‘the eyes and ears’ of good practice, placing the voice of the child at the heart of the service.
**Reducing the rate of child protection cases: The Isle of Wight**
The Isle of Wight, in partnership with Hampshire, identified that their rate of child protection was much higher than statistical neighbours and rising. Following a forensic audit of cases, they found that the current high rates of child protection were to some extent a justifiable and appropriate reaction to thresholds for intervention being set too high when the service had been inadequate. Specifically, both partners and social workers had become very risk averse in their practice – they were lacking the confidence to manage risk safely and lacked the mutual trust to make decisions
\<page_number>31\</page_number> that would enable children to be safely taken off child protection plans. The local authority recognised that managing the child protection risk safely, and reducing numbers appropriately over time, would require the meaningful engagement of their partners. They therefore used network meetings as a forum for shared learning on child protection, carried out thematic multi-agency audits around thresholds and held multi-agency lunches as a forum for the exploration of particular casework issues. As a result, a shared culture of trust and confident decision-making with partners is beginning to emerge. Child protection numbers have reduced from 276 to 210 in six months and rates of re-registration have remained stable. *Read the full case study in the annex of this report*.
One local authority that had improved rapidly from inadequate reflected that during a period of crisis there could be a danger that partners become “invested” in the failures of children’s services because this allows them not to address shortcomings in their own service. Turning around this dynamic required commitment on the part of the authority to reflect honestly on its own weaknesses and take swift action to address these, and strong governance to challenge complacency and ensure there was genuine collective responsibility and mutual accountability between partner agencies. The LSCB, an externally-chaired improvement board, or broad performance and accountability boards were among the ways in which local areas had sought to embed robust partnership governance.
**Enabler 5: Building the supporting apparatus**
All of the enablers of improvement that have been discussed hitherto – the development of a consistent strategic vision, the oversight of effective and informed leadership and governance, and the engagement of a stable staff base – depend on there being high-quality core systems in place. Conversely, in all those areas that had experienced failure or poor aspects of their children’s services, elements of system or procedural weakness were apparent.
This report will not attempt to describe in detail all the systems and procedures needed to underpin a well-functioning local children’s service. Instead, we focus on three specific areas that were highlighted as being particularly critical by the local areas with which we have worked:
1. managing referrals and assessments at the “front end” of the social work system;
2. putting in place structures which facilitate the timely flow of cases between teams; and
3. secure data management and reviewing practice quality.
One of the first actions taken by all the local children’s services that had improved from inadequate was putting in place a secure front-end to their social work system. This meant creating a safe way of managing referrals into the service, allocating cases efficiently, attending to the both the timeliness and quality of initial assessments and achieving security in decision-making. A good dialogue with partners, to establish and secure appropriate thresholds for referrals and make sure that these were consistently applied, was critical. Many areas had made good use of MASH arrangements to provide the all-important front door into social care. For many of those seeking to improve from a position of crisis or failure, clearing a significant backlog of cases while simultaneously attending to new cases entering the system was a particular resourcing challenge. This is not, however, an area for complacency even in the best-functioning children’s services departments. One local authority that has sustained good children’s services over many years commented that the volume and complexity
\<page_number>32\</page_number> of cases into a typical social care service was such that a good service could become poor within a matter of three months if there was not sufficient grip on referral and assessment processes.
Moving on from the social work front door, many of the authorities we visited described the importance of having a system which supported the timely flow of cases between teams as responsibility for a child shifted. Local areas had achieved this in different ways. For example, one high-performing authority had instigated an area-based management system that meant that all the teams related to a child’s journey through social care were located under a single manager. This, they felt, removed perverse incentives for teams to refuse to take on new cases in order to minimise their caseloads or to dispute role boundaries. They considered that, under a unified management structure, decisions could be taken more quickly in the interests of the child. Other local areas had opted for a performance-management-driven approach, with clear procedures rigorously applied and close monitoring of workflows and caseloads.
Finally, all the local authorities to which we spoke were unanimous in the importance they attached to the intelligent tracking of data and evidence about the quality of frontline practice. Children’s social care is an area of delivery that is awash with performance indicators. The characteristics of those local areas that used these indicators well as a means to improving their service were:
- the frequency and regularity with which data was scrutinised at all levels in the system;
- the development of a core data set that represented for that area the “vital indicators” of the health of the service;
- the intelligent use of benchmarks and comparisons with other children’s services, such as geographical neighbours and similar local areas; and
- a clear understanding of what each indicator really meant, and how it related to other indicators to form an overall picture of how effective children’s services were performing.
This intelligent application of data, metrics and key indicators went hand in hand with strong audit systems that allowed senior managers to triangulate both qualitative and quantitative evidence of performance and quality of practice. In this context, one authority talked about the importance of looking closely at planned changes to ensure that there was not an adverse impact on professionals or service delivery and ruling them out if this might be the case – for example, moving to centralised data collection or quality-assurance processes.
In addition, in the most high-performing local areas with which we worked, leaders and senior managers would routinely ask the question, “would this be good enough for my child?” Those children’s services would also have robust mechanisms for gathering feedback from children and their families who had been supported by children’s services about their experience, and used these routinely to improve the quality of practice.
**Enabler 6: Fostering innovation**
Through the fieldwork phase of this research it became apparent that innovation, in the context of improving children’s services, can be a double-edged sword. Many of the best children’s services departments that we visited were characterised by their openness to new ideas and learning, their creativity (particularly in the face of budgetary constraints) and their willingness to try something different. Likewise, some local areas had used new ideas, co-developed by leaders and frontline staff,
\<page_number>33\</page_number> as a spur to rapid improvement. Conversely, we also heard examples of where the wholesale embrace of a particular innovation had triggered an over-commitment of senior managers’ time, a lack of attention to detailed casework, a disruption of established processes, and the subsequent decline of the service.
The message, therefore, appears to be that in both improving children’s services departments and those sustaining good or better services over a considerable period, there can and must be attention to innovation. It is, in many ways, what enables an engaged workforce to remain excited, challenged and to renew itself. Equally, however, it must be innovation that is disciplined and controlled. That means:
- using pilots or small-scale trials to test a concept before it is implemented wholesale;
- basing decisions on what works on the forensic use of evidence;
- being willing to re-evaluate and redesign (and if necessary abandon a concept that does not work); and
- achieving the right mix of bottom-up creation of ideas and senior leadership commitment to seeing through change.
One local authority described ‘kicking the tyres’ of an innovation or ‘testing it to destruction’ before implementing it. To do this or any form of innovation well, this local area reflected, broad, deep and meaningful consultation with staff to test and challenge proposed changes was essential.
**Enabler 7: Judicious use of resources**
The final pillar, or enabler, of improvement is the prudent and judicious use of resources. One of the corollaries of stable and consistent leadership that enabled children’s services to thrive was the knowledge that councils would continue to invest in order to maintain a safe, well-functioning and constantly improving service. It was not necessarily the case that the highest levels of investment translated into the best levels of service. What was essential to sustained improvement, however, was for the long-term strategic plan for children’s services and a corresponding long-term financial plan to be absolutely aligned – ‘bolted together’, as one chief executive termed it. This would enable leaders to deliver a core level of staffing, provide ongoing support and training to frontline professionals, and maintain reasonable caseloads, while also being able to invest in ancillary support services where these were needed.
In contrast to long-term alignment in strategic and financial planning for children’s services, the senior leaders we engaged identified two points on the improvement journey when injudicious disinvestment and poorly-planned cuts to services could risk destabilising a service. First, many of those local areas that had experienced a dip in performance could attribute some of that to savings that had not been planned or made judiciously. They saw that these approaches, where cuts to services were made without consideration of their impact on frontline practice, had consequently overloaded key posts and failed to manage demand or risk. It was also notable that one of the frequent challenges highlighted by social workers in authorities where morale had been lower was the paucity of support services to which they could refer families. Social workers spoke of the deep frustration of accurately assessing a family’s needs and knowing what would help that family to progress, for example the provision of counselling and support to deal with victims of domestic violence, but having no local services on to which to refer those families.
\<page_number>34\</page_number> It was also emphasised that, just as a sudden and poorly planned cut to budgets often contributed to failure, it was very frequently necessary to invest heavily to turn around a poor children’s service. The level of additional investment quoted by local areas involved in the fieldwork ranged from about £1.5 million in a small authority to £35 million in a large authority. Often this investment was needed to overstaff the front end of the service in order to reduce unallocated cases rapidly or to get ahead of the curve of new cases entering the system. There was also investment to bring down caseloads across a service, recruit and attract new staff (often at additional cost through agencies to plug short-term resourcing gaps) and procure new ICT and management information systems.
Second, just as poorly planned and injudicious cuts could destabilise a service, so too could the premature disinvestment from children’s services after a local area had made the transition from poor to fair. Such an approach was one of the characteristics of local areas that had slipped back or “yo-yoed” between poor and fair, rather than sustaining improvement.
In short, local authorities argued for the importance of investing sensibly to address pressing short-term problems, in order to create the conditions where frontline practitioners could deliver high-quality social care services. They also argued, on the other hand, that decisions about long-term investment should be linked to the long-term strategy. Specifically, resources should be focused not only on addressing short-term problems, which admit the temptation to reduce resources once the superficial issue is solved, but also on embedding improvements and developing preventative services that can help to reduce demand in the long term.
**How the seven key enablers manifest themselves across the stages of improvement**
The seven enablers at each stage of the improvement journey
<table>
<tr>
<td rowspan="7" style="text-align: center;">Poor-to-fair<br>Leadership & governance<br>Engaging & supporting the workforce<br>Engaging partners<br>Building the supporting apparatus<br>Fostering innovation<br>Judicious use of resources</td>
<td style="vertical-align: top; padding-right: 10px;">Focus on getting “the basics” right (e.g. staffing levels, front door services) and on embedding improvements (e.g. training, early help)</td>
<td style="vertical-align: top; padding-right: 10px;">Focus on embedding improvements, and spreading them out across all service areas</td>
<td style="vertical-align: top; padding-right: 10px;">Focus on a cycle of improvement and consistency across all service areas</td>
</tr>
<tr>
<td style="vertical-align: top; padding-right: 10px;">Improvement led and directed at a strategic level, with focus on improving outcomes</td>
<td style="vertical-align: top; padding-right: 10px;">Empowering middle managers who have greater ownership of the service</td>
<td style="vertical-align: top; padding-right: 10px;">Effective political, corporate and service leadership right across all service areas</td>
</tr>
<tr>
<td style="vertical-align: top; padding-right: 10px;">Adopt the ‘fishing game’, set high expectations coupled with clarity about what good looks like</td>
<td style="vertical-align: top; padding-right: 10px;">Empower staff in developing new approaches to improve practice and reduce administrative burden</td>
<td style="vertical-align: top; padding-right: 10px;">Become an employer of choice through proactive recruitment and workforce development</td>
</tr>
<tr>
<td style="vertical-align: top; padding-right: 10px;">Build strong engagement from key partner organisations – e.g. mandate to collaborate</td>
<td style="vertical-align: top; padding-right: 10px;">Audit and practice improvements in collaboration with others rather than parallel, endeavours</td>
<td style="vertical-align: top; padding-right: 10px;">Agencies work together seamlessly as one service</td>
</tr>
<tr>
<td style="vertical-align: top; padding-right: 10px;">Develop core systems and processes for data capture and data flows</td>
<td style="vertical-align: top; padding-right: 10px;">Remain vigilant – sustain routines, embed learning from best practice quality & outcomes</td>
<td style="vertical-align: top; padding-right: 10px;">Measure what matters, ask ‘would we do this differently?’ – gather children’s & families’ views</td>
</tr>
<tr>
<td style="vertical-align: top; padding-right: 10px;">Encourage innovation in a small way – e.g. pilot projects that can help to improve practice</td>
<td style="vertical-align: top; padding-right: 10px;">Embed learning from innovation projects across other service areas</td>
<td style="vertical-align: top; padding-right: 10px;">Innovation is not a separate project – it is the norm - what we do!</td>
</tr>
<tr>
<td style="vertical-align: bottom; border-top-width: double;"><strong>Strategic approach</strong><br><strong>Leadership & governance</strong><br><strong>Engaging & supporting the workforce</strong><br><strong>Engaging partners</strong><br><strong>Building the supporting apparatus</strong><br><strong>Fostering innovation</strong><br><strong>Judicious use of resources</strong></td>
<td colspan="2" style="border-top-width: double;"></td>
</tr>
</table>
As explored above, while the seven key enablers have a resonance for local children’s services at all stages of the improvement journey, the way in which they manifest themselves clearly evolves as services progress. The diagram above summarises the key shifts in emphasis in how children’s services leaders might approach the seven key enablers as they move from poor to fair, and on to good and great.
**Developing a toolkit for the stages of improvement**
One of the insights afforded by this action research has been the opportunity to learn from many different local authorities and their partners, in contrasting political, economic and demographic contexts, wrestling with a similar set of challenges and opportunities. Interestingly, opinion between local authorities was divided on whether some processes, procedures or service models could be taken off the shelf and ‘dropped’ effectively into a new context or whether more bespoke service design was needed. Some local areas talked of the importance of having the internal capacity to implement any new processes effectively; without this, an imported procedure could be damaging if implemented poorly. What was striking, however, was that in many cases the core interventions that were made, or the processes that were introduced, varied less by local context than might be imagined. This suggests that there may be a benefit in assembling, over time, a set of tried and tested approaches that might be applied by local children’s services as part of their improvement armoury. This may be particularly valuable in the current situation in which there are many local areas, all across the country, trying to improve simultaneously with a great risk of time and effort being expended on embarking on false starts which might be avoided.
It is beyond the scope of this research to specify all the approaches that might be required. The action learning phase of this project, combined with the fieldwork, has offered some suggestions as to what the building blocks might be.
- **Front door arrangements** – among the local authorities in our sample that were progressing from poor to fair, one of the most pressing issues with which they had to contend was addressing weaknesses in how children were admitted into the social care system. In exploring this further with local authorities, it became apparent that there were only limited variations on a core set of well-defined processes which made for an effective ‘front-door’ to social care. Many local areas had deployed MASH arrangements which were serving well. The two local authorities which were engaged in a long-term partnership to improve a neighbouring children’s service both described how they were able to integrate the front door arrangements for the two services, essentially bringing in a core system basically unchanged from a well-functioning children’s service to a poorly functioning service.
- **Thresholds** – integral to the effective implementation of a front door into social care is the establishment of clear and consistent thresholds. Again, these appeared to differ less in relation to the context of the local area than might be imagined. Children’s services leaders who had the experience of working across multiple different areas suggested that the level at which a threshold was defined, and the processes needed to implement it consistently, did not differ significantly from one area to another.
- **Policies** – one of the very time-consuming aspects of improvement described by local authorities that were on the journey from poor to fair was reviewing their main social work policies and putting in place the management systems to ensure that they were implemented consistently. Some explained how these two roles (the rewriting of policies and policing their
\<page_number>36\</page_number> effective use) often converged on key middle managers who might simultaneously be struggling to fulfil the day-to-day requirements of leading a team. However, there was also some suggestion that services could place an over-emphasis on rewriting policies and procedures from scratch and that drawing from a tried and tested bank of material might be equally effective.
- **Performance datasets and reporting** – all the local areas that had really got to grips with addressing weaknesses, finding solutions and establishing an effective (or indeed excellent) service spoke about the importance of the judicious use of performance information. Crucially, this was not just performance reporting for its own sake, but focused scrutiny of how a service was performing in order to drive decisions and changes in frontline practice. It was clear that the children’s services that did this really well had identified a subset of indicators that they would track regularly over time and were clear about the inter-relationships between those indicators. The subsets of indicators used, and the way and frequency with which they were interrogated and used again, did not appear to differ substantially between different areas.
- **Audit routines** – if a performance dataset provides the quantitative evidence to drive progress, it is a well-established routine of auditing frontline practice that delivers the essential qualitative evidence. Again, this was an area where local authorities that were doing this effectively appeared to deploy similar approaches in their selection of cases to audit, the questions they asked during the audit process, and the frequency with which audit was undertaken. As with the scrutiny of key performance data, effective children’s services were also consistent in using the outcomes of audit, including multi-agency audits, to share learning and drive changes in frontline practice. In this way, monitoring and auditing became part of an iterative, action-oriented and practice-focused feedback cycle.
- **Social care workforce strategy** – a large number of the local authorities that were engaged in the research, particularly those moving from fair to good, were developing strategic responses to workforce pressures in their local areas. This is amply evidenced by the number of local authorities which chose to focus on workforce issues during the action learning phase of the research and whose progress is captured in the case studies. In this area there is clear local differentiation in the specific incentives and initiatives that have been tried, and these are a reflection of local labour market conditions. There are, however, similarities and consistencies in both the broad diagnostic approach taken by local areas, and the key themes that they have aimed to address to enhance recruitment and retention, including managing workload, talent management, career progression, reducing administrative burdens and enhancing management skills. It may be, therefore, that assembling examples of effective approaches under these broad themes would have a wider application and resonance.
- **Models of social work practice** – some well-functioning children’s services departments had a strong adherence to a particular social care model of practice. Others described themselves as cherry-picking from a range of different approaches to create a more hybrid approach. There were also examples where the poor implementation of a particular social care model that was not right for the context or stage of development of the service had been one of the catalysts that precipitated failure. This, then, appears to be an area where, although there is a variety of context-specific practice, the system might benefit from a clearer comparative
\<page_number>37\</page_number> exposition of the core models, links to various sources of support and advice, and prompts to help services choose between the different options and approaches.
- **Disciplines around problem-solving and innovation** – some of the most effective local authorities which took part in the research were characterised by the structured way in which they approached problem-solving and the rigour with which they tested and refined innovations. In these cases the content of the particular problem or innovation was obviously specific to the service and the local context, but the approaches used shared a lot of key elements with well-evidenced techniques for service redesign and service improvement which span sectors and industries. The use of evidence and survey data, the iterative nature of testing and refining, the engagement of partners and the openness to learning from mistakes are all hallmarks of these. It suggests that the collation of broader service redesign and improvement techniques and how they might be applied in a children’s services context may benefit services at an earlier stage in the improvement trajectory.
The suggestion that a bank, or toolkit, of resources might be assembled is not intended to oversimplify the children’s services improvement process. As many of those practised in supporting children’s services improvement pointed out during the course of the research, the best-designed intervention will fail if its implementation is poorly led and if the service does not benefit from going through the process of refining and ultimately owning the change. The development and application of a toolkit therefore should be approached with some caution so as not to give the false impression that there are “quick fixes” that can be applied without proper planning, preparation or leadership. With that caveat in mind, however, the findings of this research suggest that there is more that could be done to build the evidence base and knowledge of what works, to package this in a way which is accessible and easy to use, and to derive the benefits of elements of the system which are consistent in terms of content and approach, thereby freeing up time and resources to develop those aspects which really are unique to individual local areas.
**Three practical steps for new leaders at the outset of an improvement journey**
We would make one final point before we leave the subject of the enablers and phases of improvement at local level and shift our focus to how effectively improvement is supported at a system level. This is that, during the research, one experienced Director of Children’s Services reflected that they would have found it invaluable to have a summary of some very simple practical steps to take when beginning their improvement journey. In the final fieldwork phases of this research, therefore, we worked with a small number of leaders of local children’s services to identify the most important first steps to take as a leader when starting out on the children’s services improvement journey. The three steps we identified are set out in the figure below.
\<page_number>38\</page_number> Three key steps when embarking on an improvement journey
<table>
<tr>
<td>What?</td>
<td>Why?</td>
<td>How?</td>
</tr>
<tr>
<td><strong>1</strong> Establishing a baseline</td>
<td>To know for yourself the capacity, competence and quality or practice within the organisation</td>
<td>Get into the performance data and "granularity of practice" to form judgement about current performance.</td>
</tr>
<tr>
<td><strong>2</strong> Stabilising the organisation</td>
<td>You need allies within the organisation to scaffold and model effective frontline practice.</td>
<td>Give clarity and confidence by providing a vision that engages widely with staff, using this to develop a vision & strategy</td>
</tr>
<tr>
<td><strong>3</strong> Getting partners on board</td>
<td>Truly effective children's services improvement will require all partners working to the same agenda</td>
<td>Engage key partners personally and use effective governance to foster joint responsibility and mutual accountability</td>
</tr>
</table>
We have noted earlier in this chapter that establishing a baseline was a theme much remarked upon by children's services leaders during the research. By this, they meant taking steps to establish the weaknesses and strengths of the organisation, where practice was weak and where it was strong, and whether the service had the capacity to improve quickly. Despite the range of data and reports a new leader might receive – some of which, in an underperforming service, may not be reliable – it was important to form a judgement for oneself about the performance and practice of the service. There are three key steps leaders should take during this stage:
- **interrogate the data for yourself**, looking particularly at benchmarks (neighbouring and similar local authorities, national averages and past performance) and "having a fine eye for detail";
- **getting into the granularity of practice** – going out to see frontline practice, shadowing team managers and social workers, and working with peers to assess the quality of practice and the robustness of decision-making; and
- **assessing the competence of the workforce** – to judge where there are pockets of good practice that can be built upon, what the overall development needs are, and looking at vacancy rates across teams to understand workforce needs.
There are risks, however, that if leaders take these steps, staff may feel threatened or patronised. Children's services leaders argued that it was important to be firm about the necessity of such steps at the outset of an improvement journey. They also noted, however, that this could help to engage the workforce if presented, not as a means of judging staff, but as a way for them to be open about the areas where they would welcome further support.
As we have noted earlier in this chapter, wholesale replacement of staff rarely appears to be the solution to failure. Indeed, if staff feel that they are not trusted or are being placed in risky situations, the ensuing turnover of staff can make it much harder to secure improvement. This is why, after establishing a baseline, the children's services leaders spoke about the importance of **stabilising the organisation**. This meant providing visible leadership and engaging staff openly, and avoiding staff feeling vilified and "done to". Furthermore, it meant using engagements with staff to listen to their
\<page_number>39\</page_number> concerns, draw on their ideas for improvement (and draw out the areas where they most need support), and then use these ideas to inform a vision and long-term strategy that has broad support within the organisation. Leaders also talked about “setting out your stall” to staff about standards and expectations. Managers might need to be supported actively in addressing areas of poor performance. Leaders also stressed the importance of identifying allies who can be deployed to support and disseminate effective practice within the service so as to improve practice. Leaders talked about needing to avoid the temptation to “hunker down”, and instead to be open and invite others (for example elected members) to be part of the journey.
As well as establishing a baseline and stabilising the organisation, the leaders we engaged stressed that a third set of initial activities at the outset of an improvement journey was **getting partners on board**. The children’s services leaders we engaged argued that this should include:
- **building personal relationships with counterparts in partner agencies** – through open and honest discussion about their priorities, current challenges within children’s services, and how they can support improvement;
- **building rapport and commitment to an improvement agenda** – engaging them and their staff in developing a long-term vision and strategy for improvement;
- **testing this through some early forms of collaboration** – developing agreement on consistent thresholds for referrals, and testing their implementation, was seen as an important initial area of focus for partners from which further collaboration could be built; and
- **developing effective multi-agency governance** – with senior leaders engaged to enable swift decision-making and foster joint responsibility and mutual accountability for implementing the improvement strategy.
\<page_number>40\</page_number> Chapter 3: How effectively the current system supports improvement
During our engagements with the local authorities and national stakeholders, we asked colleagues to reflect on how effectively the system at national level supported local children’s services to put into practice and sustain the enablers of improvement detailed in the previous chapter. We drew two key insights from these discussions.
a. The current national system contains the right elements to support ongoing improvement, but greater strategic coherence and co-ordination is required to sustain system-wide improvement. This will require there to be a clear strategy for improvement, coherent leadership of the agenda by national bodies working in partnership with the sector, and support for a highly-skilled and stable workforce, with focused support for improvement and innovation. In other words, for local children’s services to put into practice the seven enablers outlined in the previous chapter, those same characteristics need to be in place at the level of the national system.
b. There is an inherent fragility in the children’s services system, which the national system should seek to address. Given the constant flow of cases and decisions within children’s services, even ostensibly high-performing services can fall suddenly into rapid decline. Utilising high-performing services to support those in difficulty is sensible and should be encouraged. Nevertheless, it also brings with it a risk of overburdening high-performing local areas. This risk is increased if there are only a small number of high-performing local areas that can act as system leaders. The national system needs, therefore, to focus its efforts not only on intervening in poorly-performing local areas, but also on systematically supporting those on the fair-to-good and good-to-great stages of the improvement journey.
We have mapped these insights from local areas to create the schematic below, which captures the core components of any self-improving system. Typically, self-improving systems are characterised by:
- the regular and free flow of ideas about what works and why;
- an evidence base to inform practice that is well-understood and frequently added to;
- a culture of learning, and in particular the right environment to learn from mistakes;
- a well-functioning accountability regime;
- expert system leadership capacity to drive improvement where needed;
- a labour market that provides sufficient skilled practitioners; and
- investment proportionate to meet expectations and ambitions.
The diagram below illustrates how the key components of the children’s services system might work in concert to deliver these characteristics. Through our research, we have sought views from practitioners on the extent to which these key components are working well, and are sufficiently well-aligned, in the current children’s services system.
\<page_number>41\</page_number> The core components of a self-improving children’s services system
<img>A diagram showing the core components of a self-improving children's services system. The top level shows "An evidence base of what works" with space for dialogue on policy and practice. Below this, there are three main components: "A learning system" with "Monitoring and early warning", "Peer review and networks"; "Accountability" with "Inspection" and "Formal support"; and "Capacity for support" with "Intervention". Underpinning conditions include "Well-functioning labour market" and "Sufficient investment".</img>
Space for dialogue on policy and practice
A number of the senior leaders to whom we spoke during the course of the research commented that, compared with other areas of public policy, the space for a well-informed discourse around children’s services, and children’s social care in particular, was slim. They considered that the evidence on what works was rather piecemeal, that social work leadership and practice was not as professionalised as other areas of public service, and that there was not enough investment in research to address these gaps. Despite the work of organisations such as Research in Practice, which works with 90 local authorities to bring together research insights in order to foster evidence-informed practice in social work and across children’s services, there remain many challenges to embedding evidence-informed practice. Furthermore, there also appears to be too few fora in which significant strategic questions about challenges facing the sector and the profession can be debated and system-wide responses considered.
Monitoring performance leading to early warning of weaknesses
The idea of “getting ahead of the curve” and spotting the early warning signs of serious decline is not a new idea, and has been explored before in many different guises. If the sector’s ambition is to move to a more systematic, graduated approach to children’s services improvement and intervention, then early identification and support need to be central to that. Local areas argued that there were two vital questions that needed to be addressed in order to develop an effective system for identifying the signs of decline before a service reached crisis-point.
a. What are the early warning signs of decline? Local areas and national stakeholders cautioned against a purely – or even largely – data-driven approach to identifying local children’s services that were at risk of slipping. They argued that there were limitations to the data itself, and that in weaker local areas there were likely to be issues with the accuracy and reliability of the
\<page_number>42\</page_number> data. Furthermore, some senior leaders argued that there were sources of evidence which would be critical in identifying weaknesses in children’s services before they became endemic (such as complaints), which were only visible to the service in question. Nevertheless, the majority of experienced children’s services leaders we engaged argued that they had sufficient soft intelligence to know when there appeared to be serious weaknesses in a neighbouring local area.
b. **Whose role is it to identify these signs, to whom, and to what end?** What these experienced children’s services leaders said the system lacked was not this soft intelligence, but rather the mechanisms through which this information could be used to trigger support for local areas before they reached crisis-point.
The challenge for the children’s services system, therefore, is not one of identifying the right datasets to identify local children’s services in decline, but rather how to utilise the intelligence within the system to best effect. There were some dissenting voices, however, about whether this could be a purely sector-led approach. The litmus test, as one experienced children’s services leader put it, was whether collectively children’s services leaders in a region would be willing to go to the chief executive or lead member in a neighbouring local area and tell them there were serious weaknesses in the latter’s children’s services.
**Networks for informal support and peer learning**
At present, different models of peer review operate across the children’s services sector. There is a national offer, co-ordinated by the LGA as part of its offer of sector-led support, focused on safeguarding services, care practice and diagnostic reviews. In addition, there are also regional and local peer review networks, including those that operate within the ADCS regions.
During our research, there was a range of views put forward about the effectiveness of peer review and peer-to-peer networks across the children’s services system. For the most part, these reflected colleagues’ experience of the regional and local peer review arrangements in which they were involved. Some local areas spoke positively about their experience of being involved in peer review, both as the reviewer and the reviewer. There were two elements that they described as being critical to a valuable peer review experience. The first was the approach taken by the reviewer. Those local areas that had benefited most from peer review described how they used the opportunity to submit their approach to external scrutiny in order to test the accuracy of their self-assessment and to use the outcome to refine their practices. Second, and equally important, was the approach taken by the reviewer. Local areas described how they had deliberately chosen reviewers who would be thorough and inquisitive, but equally would be able to engage positively with professionals and leaders in the service they were reviewing. It was vital that the review leads were focused on the outcome of the peer review, rather than simply telling the receiving local area “this is how I would structure your organisation if I was in charge”.
In some regions, there are strong peer-to-peer networks and peer review arrangements in place. The local areas that took part in the research described effective collaborative working in the East Midlands and the Yorkshire and the Humber regions, focusing on peer review, and regional themes such as adoption, early help and child sexual exploitation.
\<page_number>43\</page_number> The picture we built up through the research was one of a patchwork of peer-to-peer collaboration, with the more outward-facing, self-confident and entrepreneurial children’s services leaders forging connections with their peers, rather than a vibrant, consistent and extensive culture of peer learning at national, regional and local level. This is an obvious and crucial weakness in the current system: that there is no requirement for local areas to engage in peer review. Only those that volunteer to will receive a peer review, and these are likely to be the local areas most open to challenge. This limits the effectiveness of peer review as a means of identifying and helping to address the early warning signs of weakness before it becomes terminal. There are also other drawbacks to the current approach to peer-to-peer networking, including:
- relatively limited opportunities for peer-to-peer networking for those in middle management positions, particularly in smaller services – middle leaders therefore miss out on what could be an important source of professional development, and further demands are thus placed on senior leaders;
- the lack of immediate practical advice from those that have made the journey from poor to fair and beyond – for local authorities constructing their responses to an inadequate inspection finding; and
- too few opportunities for services to develop practice jointly with others – instead, local areas told us, there is too much emphasis on good practice seminars and ‘show-and-tell’ approaches to peer learning.
**Inspection**
Local children’s services recognised the fundamental importance of inspection. They agreed that the principle of having a mechanism for providing independent, impartial assessment and scrutiny of services, according to a published, transparent framework, was critical to ensuring services improve, that poor performance is flagged up and ultimately that children are kept safe. Several local authorities spoke specifically about the important role that inspection had played in their improvement journey. These included instances where the local authorities and their partners had used the experience of inspection to:
- undertake rigorous self-evaluation of their own strengths and areas for development;
- provide an external view on how they were performing, from which they could learn; and
- provide an independent baseline, which could be used to engage external partners and develop a new strategy for improvement.
Other local authorities, while supporting the principle of impartial inspection, voiced concerns about the way the current inspection framework was applied. Specifically, they voiced three concerns.
a. The consistency with which the inspection framework was applied – local areas cited what they perceived to be a risk-averse approach from some inspection teams. b. The timing of inspection – some local authorities considered that, rather than providing a baseline or a judgement on how their plans were progressing, they had been re-inspected at a time when their plans were still embedding. As a result, they argued that the inspection experience had had a counter-productive effect on their organisation. One suggested that the gathering of information through DfE monitoring visits and the trigger for a re-inspection could be better joined up.
\<page_number>44\</page_number> C. A lack of clarity about what was required to achieve a judgement of outstanding in the current framework – it should be noted that this concern was raised before the outstanding judgements were achieved by Kensington and Chelsea, and by Westminster.
**Formal improvement support and intervention**
As with inspection, there was also recognition that central government had a necessary function in co-ordinating intervention where serious failures were identified in local children’s services. Many of the local authorities reflected positively on aspects of the support they had received or the intervention mechanisms that were put in place. There were four main types of formal support and/or intervention described by the local authorities in our sample.
a. **The creation of improvement boards with independent chair-people** – as a mechanism for bringing together senior leaders and key partners, ensuring robust and professional governance, and providing expert external challenge. Where these boards were felt to be most effective, local authorities reflected on the tenacity of independent chairs in following up issues, their ability to bring a broad range of partners to the table, and their willingness to engage middle managers and frontline staff.
b. **The support provided by highly-experienced children’s services senior leaders on a peer support model** – this provided a regular point of external challenge and support with the capacity to advise on issues in greater depth than an independent chair of an improvement board.
c. **Long-term strategic partnerships between neighbouring local authorities where leadership is shared** – there were two such partnerships in our sample, and these were reflected on extremely positively by all parties involved. The partnerships were felt to have delivered sustainable improvement rapidly and enabled learning to flow in both directions. They had also broadened the roles and career pathways for social workers and managers, which had in turn had a positive impact on staff retention.
d. **Appointing commissioners or creating independent trusts** – it was felt that, where appropriate, these could be an effective vehicle for creating the leadership and governance structures that enabled a strong and undiluted focus on improving children’s services.
We should point out, however, that while we came across examples during the research where such approaches had proved effective, there were also instances described to us of similar interventions had not led to the desired improvement. Local areas involved in this research reflected that the effectiveness of formal improvement support and intervention depends on both the quality of the external support and the conditions within the receiving service. In particular, they reflected that a crucial consideration was whether the receiving service had the leadership, management and governance, at political, corporate and service levels, to drive action and respond to challenge.
Local areas were, overall, less positive about the “parachuted leadership” approach, where children’s services were led by a series of individuals appointed on a short-term basis. This was not a comment on interim appointments per se. Instead, it was a comment on the fact that, as we have highlighted in chapter 2, driving and sustaining improvement requires, among other things, a clear long-term strategic plan, stable leadership (including corporate and political leadership), and ongoing engagement between leaders and the workforce. Participating local areas reflected that a high
\<page_number>45\</page_number> turnover of interim leaders, particularly in the absence of an overarching long-term strategic plan, could de-stabilise a service, demoralise staff, and lead to turbulence and turnover in the workforce.
The research exposed three challenges around how support and intervention are currently deployed.
1. Local areas felt that there needed to be greater clarity about the respective roles of inspection, intervention, support and post-inspection monitoring. The effective alignment and the avoidance of duplication between these roles are of vital importance. Local authorities reported to us that a lack of co-ordination could lead to those responsible for leading improvement in local children’s services spending a disproportionate amount of time servicing the parallel but unaligned requirements, including reporting requirements, of multiple external masters. The local authorities we engaged emphasised the difference between *driving improvement* and *monitoring improvement* – they recognised the latter was important in its own right, but only if done proportionately, in a co-ordinated manner, and did not reduce an organisation’s capacity to drive improvement.
2. There remains a lack of clarity and robust evidence about how the right model of intervention is selected and how interventions are reviewed and escalated where necessary. As we have described above, some local authorities described examples where their experience of intervention or the experience of other local authorities they had supported had been positive. Others, however, described examples where similar approaches had not had the same effect. They noted the importance of having a robust analysis of the root causes of the problem, including the inter-relationship between children’s services, leadership and the corporate and political governance within a local authority. All argued for a more explicit and evidence-based menu of support options, so that the right approaches could be matched to an individual local area’s circumstances, and intervention could be escalated or de-escalated as needed.
3. There needs to be greater attention paid to developing the system leadership capacity to provide support to underperforming children’s services from elsewhere in the sector. The idea of the most effective practitioners playing a role not only within their own institution, but taking on a leadership and improvement role across the wider system is not a new concept. The local areas we engaged were strongly in favour of a more explicit and formal role for system leaders within children’s services, utilising their expertise to support other services, and building capacity and resilience across the sector.
Local areas reflected, however, that at a time when local authority resources are reducing they did not have the spare capacity to deploy leaders, managers and practitioners to support counterparts in other areas. They considered that, for a peer-led approach to be fully effective, there would need to be more effective co-ordination, so that local authorities could plan on the basis that a certain amount of their capacity would be likely to be needed to support others.
In this context, local children’s services welcomed the *partners in practice* approach, announced in late 2015 by the DfE, as one that could bring about a more consistent, evidence-based, graduated approach to intervention. They considered that such an approach was much needed, and would help to put in place approaches to intervention that drew on the expertise and experience of the sector, informed by evidence of what worked at different stages of local authorities’ improvement journeys,
\<page_number>46\</page_number> and tailored to each local context. The development of *partners in practice* is an important step in developing the capacity of the sector to be self-improving.
Among the local areas whom we engaged, there was an interesting debate as to the extent to which joint leadership and governance were needed to make peer-led interventions really effective, or whether the same impact could be achieved through a peer support model. Opinion was divided on this question. One senior leader of an authority that had improved from inadequate felt that its progress would have been swifter if it had been partnered with another strong neighbouring service through an executive leadership model (but with each local authority retaining political decision-making responsibilities). Another senior leader who had experience of delivering support both through a shared leadership model and on a peer support basis reflected that it was easier to achieve change and take responsibility for outcomes in the service requiring improvement where there was a single leadership team in place across both services. Conversely, other areas felt strongly that their ability to source support from a wide range of partners but ultimately retain decision-making capacity and leadership within the local authority had been an effective model for improvement. It is clear that both models can be effective in different circumstances. The key message about formal improvement support from this research is that there is a need for a more explicit and evidence-based rationale for the selection of particular models of support and intervention in specific situations, particularly in terms of models of service leadership and political governance.
**A well-functioning labour market**
In terms of the workforce, while it was not universally the case, a relatively high number of areas described a complexity of market forces which made recruiting and retaining high-calibre social workers extremely difficult. They described a highly mobile and fluid social work agency market that was driving up the cost of social workers, with low barriers to entry and exit. This was most acute in regions of the country where travel between local areas was straightforward and where there was a high concentration of children’s services departments in difficulty and having to pay over-the-odds to fill vacancies.
Local authorities were taking action to counteract some of these market forces, including focusing on the long-term career trajectories available to staff, managing talent and entering into memoranda of understanding with neighbouring authorities to control some of the most pernicious excesses of the agency market. It was feared, however, that this would only go some way towards stemming the tide of competition for social workers based on cost, which few authorities could afford to enter. One local area was considering establishing its own social work agency as an alternative to those available commercially, in order to provide high-quality staff, at less cost, and with the potential of redirecting investment back into the children’s services sector.
A number of local areas expressed the view that there needed to be a more effective and efficient national response to the local workforce crisis that engulfed many children’s services immediately after an inadequate inspection judgement. They also felt that there needed to be action taken to address the basic quality of the children’s services agency market. They described a situation in which too many agency staff were not sufficiently skilled to perform the roles into which they were placed, and where critical information about individuals’ employment history was not made available during the placement process.
\<page_number>47\</page_number> **Sufficient investment**
Many of the local areas that took part in the research were very concerned about the scale of cuts facing children’s services over the next period. Many local areas had already made significant savings and were now facing further cuts of the order of 20%. For children’s services departments that were already relatively efficient in terms of unit costs, this presented a particular challenge. A percentage of the children’s services budget will necessarily be tied up in long-term, essential and very high-cost residential placements for the children and young people with the most complex needs. While the most effective local areas will have taken action to reduce the proportion of young people requiring such care through innovative local commissioning, it is not realistic or indeed appropriate to imagine such expenditure can be cut entirely. This, combined with the need to maintain a core statutory service, leaves very little room for discretionary cost savings and efficiencies. The best local authorities were characterised by the innovation of staff in the face of cost pressures, but even some of those areas did not know how they would find the level of savings required over the next period. One local area predicted that a significant minority of children’s services around the country would not be able to set a balanced budget over the next three years.
During a period of financial retrenchment, local areas felt it was essential to have a well-informed national debate about the level of risk that was acceptable in safeguarding children and the investment needed to underpin that level of risk. At present, however, there is not the space or the opportunity to have this discourse at a national level. Those to whom we spoke were realistic that no system could ever guarantee the safety of 100% of children 100% of the time. They also considered, however, that the level of expectation placed on local authorities and the low levels of tolerated risk were not always commensurate with the level of investment in children’s services. During a period in which resources are scarce, they saw that it was essential to find a forum for difficult conversations and decisions about how to prioritise investment.
\<page_number>48\</page_number> Chapter 4: Implications and recommendations
The evidence collated through this research process paints a picture of a sector in which there are many examples of confident leadership driving real improvement at pace and scale. It is, however, also a sector in which these pockets of sustained improvement have been relatively isolated from each other, without the necessary supporting mechanisms to share expertise in a consistent fashion or to learn from mistakes at a system-wide level. As described in the previous chapter, there can be a somewhat piecemeal and fragmented approach to analysing, recording and disseminating what works, commissioning interventions and support, and identifying weaknesses early before they become entrenched. This has, in turn, contributed to some of the weaknesses that we see in local children’s services departments, declines that have not been arrested early enough, and false starts in the pursuit of rapid improvement. Equally, the barriers and enablers to improvement, described in chapter 2, mirror the barriers and enablers to embedding evidence-informed practice. This can also mean that local areas that do not have a well-developed approach to embedding evidence-informed practice are likely to be less adept at drawing on insights about what helps to drive and sustain improvement in children’s services. In this chapter, we set out a number of recommendations for addressing these system-wide issues for the children’s services sector to consider.
Space for dialogue on policy and practice
There is a key role to be played by the sector and its partners in bringing together an active research agenda, leading national policy debates, and strengthening and professionalising the leadership of the children’s services sector. This role is crucial in maintaining a growing body of evidence about what works in improvement, supplementing that by commissioning new research to fill specific gaps in collective knowledge and disseminating this to leaders and practitioners across the sector. It is also vital in enabling the sector to articulate shared strategic challenges and advocate for effective solutions. At present, the Virtual College, with leadership drawn from the ADCS council and partners in Scotland and Wales, seeks to play this role. Other organisations, such as the LGA and SOLACE, also have a strong interest and part to play in shaping the sector’s research and strategic priorities.
In the current climate, in which opportunities for investment are constrained and the appetite to establish new organisations is limited, we would not advocate the creation of a new body to carry out this role. Instead, we think that there is an opportunity offered by the announcement of the forthcoming DfE-commissioned ‘What Works Centre for Children’s Social Care’ to bring together the latest research about driving improvement in children’s services. Such a forum could also own the development of a toolkit of interventions mooted at the end of chapter 2. Working alongside organisations like the Virtual College, ADCS, LGA and SOLACE, it could play a key role in enhancing practice and leadership within the sector, akin to, for example, the Royal College of Surgeons.
Better monitoring leading to early warning
As set out above, if there is to be meaningful support provided at an earlier stage to local children’s services at risk of decline, there needs to be greater precision about who is responsible for both monitoring and acting upon the early signs of failure. It seems clear from discussions with local children’s services that this should not be part of the formal statutory accountability regime: rather,
\<page_number>49\</page_number> it should precede it. Therefore, responsibility for designing and executing such a system should properly sit alongside sector-led approaches to improvement.
As noted in chapter 3, the vital question here is whose role it is to identify and share intelligence about the local children’s services at risk of serious service failure, with whom, and to what end. This could be carried out by a representative body, such as the LGA, or by a strategic grouping of key national and sector partners such as the Children’s Improvement Board. We suggest that this body might usefully carry out the following functions.
- **Collating soft intelligence about services that may be on the cusp of serious decline.** This may include intelligence picked up from peer networks and evidence of high staff turnover in leadership or key frontline positions. Colleagues argued strongly against a purely data-driven approach to early identification of serious weaknesses. The emphasis on soft intelligence, rather than data alone, may mean that regional networks are needed in order to provide an appropriate means through which concerns could be raised. This is not to say that analysis of key performance data does not have its place – indeed, we think there would be value in regional groupings of local children’s services sharing current performance data, and there are agreements in place to do this in some regions already. Having this data in easy-to-use dashboards could provide meaningful comparisons with similar local areas for political and corporate leaders, and support peer review activities. Instead, the purpose of collating soft intelligence at a strategic, system-wide level would be in order to inform decisions about early support, rather than produce league tables of local children’s services perceived to be at risk.
- **Targeting peer reviews at those local areas where the intelligence indicates that there may be issues for concern, and strengthening the peer review model to bring into scope the scrutiny of complaints information.** This could be bolstered by a voluntary agreement from local children’s services to agree to a peer review at least every two years, and to submit to a targeted review if the monitoring of data suggests it would be helpful. This would help to identify those local areas where weak data systems or an unwillingness to engage in peer reviews may mask the true extent of declining children’s services. This may, in itself, provide a trigger for further investigation and support. We recognise, however, that a commitment to engage in regular peer reviews (we have suggested every two years) would be a significant investment of time and resource from local areas and the sector as a whole. It would, however, provide a more systematic mechanism for identifying concerns early and mobilising pre-emptive support swiftly.
- **Commissioning follow-on support from another well-performing children’s service on specific issues identified through the peer review service**, where it is evident that there is a lack of capacity to address these issues within the local authority in question.
**Networks for informal support and peer learning**
The evidence from the research suggested that there could helpfully be a strengthening of existing networks for peer learning and greater alignment of the existing offers of peer review, for example through the LGA and ADCS. As noted in chapter 3, ADCS regional groupings already provide a locus for informal peer learning, but feedback from the local areas we have engaged suggests that the value of these arrangements is not consistent across all regions. Building on best practice in other sectors, it
\<page_number>50\</page_number> may be beneficial to introduce a greater element of joint practice development into the network learning opportunities. This might involve local authorities coming together in small groups of three or four, potentially with involvement from one of the *partners in practice* or another local authority with noted expertise in that field, to work collectively on developing solutions to specific shared challenges.
**Inspection and accountability**
Feedback from the fieldwork suggests that, once an inadequate inspection judgement has been made, there would be benefit in establishing greater clarity around the reporting requirements on local children’s services. This would include the points at which progress is monitored and by whom – whether Ofsted or the DfE – and how each of these feed into decisions about the timing of re-inspection and the implementation of formal support and/or intervention. There may be an opportunity for better dialogue or information-sharing between those overseeing intervention in a local area (for example improvement board chairs and the DfE) and the inspectorate. Feedback from local areas suggest that this would help to ensure that local areas need only report progress once, in a single format, and that re-inspection occurs at a time when it will contribute to the area’s ongoing progress.
**Formal improvement support and intervention**
There is a range of formal intervention methodologies currently in place, but little concrete evidence of what works best in what circumstances. The announcement by the DfE of a more explicit rationale and approach to providing formal intervention support, through the *partners in practice* programme, is to be welcomed, and could play a key role in a more strategic approach to intervention. This research has suggested that one of the crucial factors in determining the appropriate form of support and intervention should be the leadership and governance capacity, at both elected member and officer level, within a local authority. For instance:
- **peer support and oversight from an improvement board** may be the most appropriate option where a local children’s service has both the officer and elected member capacity to drive and sustain improvement;
- **an executive partnership model**, with joint leadership, may be the best solution where there is a political commitment to driving change but a lack of leadership capacity in the organisation at both senior and middle leadership levels; and
- **the creation of an independent trust** could be considered in instances in which there is not the leadership commitment to and capacity for driving change at service, corporate and political level.
These contentions need, however, to be properly tested through additional research. Following on from the current research project, we will be undertaking a follow-up research project focusing specifically on assessing the relative effectiveness of different structural models of formal improvement support and intervention. This research could then feed into:
- a growing evidence base of the models of support and intervention that should be considered and in what circumstances;
\<page_number>51\</page_number>
- clearer criteria and processes for how decisions about the different types of intervention are taken, allowing for more timely decisions and fewer false starts; and
- a system for ongoing monitoring of the different types of intervention so that interventions can be altered or escalated if necessary.
In tandem with the creation of a stronger evidence base for what type of intervention works best and in what circumstances, there is also the need to secure greater investment in building the capacity for intervention and support. One of the clear messages that has come through this research is the power of peer-led models of improvement. It must be recognised, however, that this comes at a cost, both in terms of leadership and finances, to the local children’s service providing support. If excellent local children’s services are to be more than a sporadic or fortuitous source of improvement capacity, then there will need to be sufficient investment in those local areas to enable them to build a shadow management structure and surplus capacity at key levels of the system in order to enable them to release expertise for the time and at the scale needed to partner another local children’s service. This would most likely need to be a combination of income generation at a local level (through selling services and expertise) with some national investment that enables some stable and ongoing development of the core infrastructure.
The new partners in practice programme, if aligned with an overall strategic approach across the sector and joined up to the LGA and ADCS offers of peer-to-peer support, could play an important role in helping to shape and disseminate the evidence base of what works to drive improvement. To do this, however, it will be vital that the programme focuses equally on:
- building and co-ordinating the system leadership capacity of the children’s services system;
- supporting councils to move from, in our terminology, fair to good and great, so as to deepen the pool from which system leaders may be drawn and minimise the burden falling on a small number of councils;
- identifying and sharing learning about what has proved effective in driving improvements so that the benefits are felt across the sector; as well as
- providing formal support to local authorities experiencing significant difficulties and those subject to formal intervention.
**A well-functioning labour market**
The evidence from this research suggests that addressing some of the failures in the current social work labour market will require a mix of both national and local intervention. Local areas are already professionalising their workforce development strategies in order to grow, attract and develop high-quality social workers. A firm focus on investing in the workforce and retaining high-calibre staff, through some of incentives mentioned in chapter 2 (supervision, practical support, professional development and keeping caseloads manageable), should also be a vital part of the response at local level.
Alongside this, government and the sector may wish to consider further actions that might be taken collectively to address some of the negative effects of the current agency market and improve the range of recruitment options open to local areas which receive an inadequate inspection judgement. One of the chief concerns around the operation of the current agency market is not only that it drives up cost and creates workforce instability, but also that councils cannot ensure the quality of staff
\<page_number>52\</page_number> provided. This is compounded in some cases by incomplete or poor-quality information about candidates being provided to local authorities. Given that agency social workers are currently a vital component of the social care workforce, the LGA, the DfE or other partners may wish to consider working with some of the larger agencies to develop a recognised kite-mark of quality. This could act to drive up the quality in the market and provide reassurance to local authorities about the reliability of the information about prospective agency staff. Pilot schemes to encourage those who have left the profession to return might also be encouraged and expanded.
In tandem, some of the best-performing local authorities are considering developing their own pools of social workers from which they and other local areas might draw where they need additional, short-term capacity in specific service areas. These workers would all come with the experience of being trained and having worked in an excellent children’s service, and could generate income for the placing local authority and create savings for the employing local area. If there is appetite in more than one local authority to develop similar schemes, the LGA may wish to consider how it might support and nurture such initiatives on behalf of the sector to secure, for example, wider geographical coverage, greater opportunities for shared learning or greater consistency in standards, quality and approach than may result if individual areas simply develop such initiatives completely independently.
Finally, it may be worth considering how local areas can be supported to counteract the immediate turbulence in the workforce that can follow an inadequate inspection judgement and the local authority entering formal intervention. One option would be to develop an emergency pool of highly-trained social workers, experienced in turning around children’s services in difficulty, who could be contracted for a period of time to help alleviate staff shortages, backlogs of cases, and the churn of multiple short-term agency appointments. This may, however, prove impractical, given that professionals with these skills are precisely those local children’s services departments are keen to recruit, retain, and build a stable, long-term workforce around. An alternative may be to work with the more established and effective agencies to commission fully formed social work teams to work on specific projects in the initial period of the improvement journey.
\<page_number>53\</page_number> Annex: Local children’s services case studies
The following pages include seven detailed case studies about the work of the local children’s services that have been involved in the action research part of this project. These case studies provide further information about the projects have been highlighted in the main report. We are grateful to the local children’s services involved for their permission to share their work in this way. They are set out in alphabetical order below.
Case study 1: Achieving for Children (Kingston-upon-Thames and Richmond-upon-Thames)
Kingston children’s service: Developing a social care workforce strategy
Local context
Kingston children’s services were judged inadequate in July 2012. The local authority was already in negotiations with neighbouring Richmond around developing a joint leadership approach across both services. These were accelerated and by the end of the year a single leadership team had been created with a joint Director of Children’s Services across Kingston and Richmond. Through this joint leadership arrangement, Richmond was able to deploy its expertise to support the improvement of Kingston. New front-door and social care team structures were implemented based on the successful model in place in Richmond. An improvement board was established and engaged senior-level officers from each of the partner agencies. This oversaw the implementation of a clear and practical improvement plan which detailed the changes in practice that were expected. Just one year after being judged inadequate, Kingston was re-inspected and judged inadequate for a second time. However, the children’s service was inspected again in June 2015 when it was judged to be good.
The issue
Kingston found that despite being judged good their turnover of social work staff was still higher than they wished. In fact, the rate of turnover actually increased after the service was judged good, to 24%. This was contributing to a lack of stability in the service and jeopardising their ability to make sustained and irreversible improvement in the future.
Actions taken
The local authority carried out an analysis of staff survey returns and conducted exit interviews to try to understand better why social workers were leaving the service. One consistent message was that individuals were leaving because they no longer had consistent support from their team manager. It was clear that a number of key individuals in the service had been critical in holding teams together and when they were promoted or left the sense of security felt by staff also disappeared. The local authority therefore concluded that it needed to ensure a strong team management structure in order to retain social workers. To build team manager capacity the local authority:
\<page_number>54\</page_number>
- established a social care workforce board to ensure that the whole organisation was focused on recruitment and retention, to give strategic direction to the work, and to ensure that corporate HR fully understood and were able to support the requirements of social care;
- professionalised recruitment and retention through the development of new resources such as promotional films;
- clearly set out their ‘retention story’, which hinged on low caseloads, investment in continuing professional development (CPD) and management support;
- strengthened their retention offer in terms of progression, health packages and addressing practical issues such as a fair car-use policy;
- ensured heads of service were responsible for phoning new recruits on a weekly basis to ensure that they were settling in and progressing well; and
- developed an active talent management strategy to identify, grow and develop future team managers.
**Impact**
The development of the social care workforce board and the implementation of a recruitment and retention strategy are bearing dividends. All team manager posts in the organisation have now been filled or offered. Some of these have been internal appointments which have resulted from the talent management strategy. The social worker vacancy rate in the organisation is going back towards 10%.
**Learning and reflections**
Kingston reflected that they have had to invest heavily in recruitment and retention, and seriously professionalise their approach to all workforce issues, in order to turn the tide back in their favour in terms of creating a stable and skilled workforce. This is despite being a good children’s service with a very strong reputation. The areas of investment that have borne dividends are in schemes to reward and recognise staff for exceptional work; training and development, with a CPD pathway created for every professional group; coaching and mentoring programmes; and talent management. The local authority is looking to cross-subsidise its significant investment in workforce development by selling its training packages to other local areas.
\<page_number>55\</page_number> Case study 2: Barnsley Metropolitan Borough Council
**Barnsley children’s services: The Continuous Service Improvement Framework**
**Local context**
Children’s services in Barnsley have been improving since their inspection in June and July 2012, which judged children’s services overall to be inadequate. The DfE issued an improvement notice, setting out the improvements Barnsley were expected to make, and specifying that Barnsley should establish an improvement board with an independent chairperson. Re-inspected under the single inspection framework in June 2014, the inspection noted the improvements that had been made and judged Barnsley’s children’s services to require improvement. The DfE, having reviewed the improvement notice in October 2014, was confident that Barnsley were maintaining the momentum for improvement and lifted the improvement notice in November 2014.
**The issue**
Leaders in Barnsley describe the experience of working with the improvement board and the independent chairperson in positive terms. In particular, they highlighted:
- the board’s membership, with senior engagement from key partners to enable decisions to be taken quickly;
- the rigour of being brought to account collectively and the ability to marshal partners around a single plan that was owned collectively; and
- the role of the independent chair in engaging frontline professionals and ensuring absolute transparency by, for example, testing reports to the Secretary of State with frontline staff.
The challenge, for Barnsley, was how to maintain pace and embed improvements after the external impetus for improvement, in the form of the improvement notice and improvement board, were lifted. They began planning for this early, focusing particularly on developing a continuous service improvement framework and new partnership governance arrangements to oversee ongoing improvement.
**Actions taken**
Barnsley’s ambition is to deliver services that are judged good or better and achieve the best outcomes for young people in Barnsley. Barnsley’s leaders have committed to continuing to work in partnership under the Continuous Service Improvement Framework. The framework sets out the role of all partners in contributing to effective and continuously improving children’s services, and seeks to ensure that there is clear accountability so that these responsibilities are discharged effectively. There are three key elements of the framework.
- **A plan for continuous service improvement** – this plan provides the means by which progress and impact are measured. This is driven by a multi-agency officer group, chaired by the Service Director for Children’s Social Care and Safeguarding and with oversight from
\<page_number>56\</page_number> the Director of Children’s Services, with dedicated high-quality programme management support to “hold the ring” on the plan.
- **Robust, partnership governance** – a key part of the framework has been transferring governance of the children’s services improvement agenda from the improvement board to the Children and Young People’s Trust Board and the Barnsley Safeguarding Children Board. These bodies receive monthly reports on progress in implementing the plan, following the journey of a young person, which enables them to scrutinise progress. The framework itself is also reviewed annually by these groups.
- **Developing a culture of openness to challenge** – through modelling respectful challenge within children’s services, making effective use of external review and challenge (such as the regional ADCS peer review network), and making the voice of the child part of business-as-usual for all services and agencies.
**Change and impact**
In April 2015, the DfE reviewed Barnsley’s approach to improvement and the progress made to date. They concluded that Barnsley were continuing to improve at pace, and were not “slipping back”. Since then, the continuous service improvement framework and plan have enabled the local area to continue to make real improvements in services for vulnerable children in Barnsley. For example:
- the previously high volume of inappropriate contacts and referrals has been reduced;
- there are fewer child protection plans lasting for two years or more and fewer children subject to a formal child protection plan two or more times;
- there is now good placement stability for children in care, less time spent before permanency plans are achieved, and increased use of alternative orders;
- improved timescales for public law care proceedings;
- Barnsley is now in the top quartile for adoptions; and
- there is improved participation from children in care.
Barnsley’s performance data and checks on the quality of practice through frontline visits and audits, including multi-agency audits, suggest that a strong performance management culture has been embedded and that many service areas are good and improving.
**Learning and reflections**
Leaders in Barnsley have reflected that there has not been a single key ingredient to their improvement; instead, the key to their improvement has been lining up all of the elements that need to be in place to drive improvement through the continuous service improvement framework and the plan that sits beneath it. These include strong and visible leadership, robust governance and accountability, robust partnerships, external review and challenge, fostering a culture of respectful challenge, and hearing the voices of children and young people.
\<page_number>57\</page_number> Case study 3: Doncaster Children’s Services Trust
**Doncaster Children’s Services Trust: The Practice Improvement Programme**
**Local context** Children’s services in Doncaster have been through a difficult time over the past decade. These challenges have been well documented and will not be revisited here. Despite interventions from central government, and several changes of political, corporate and service leadership, Professor Julian Le Grand’s 2013 report describes a ‘constant cycle of improvement and regression’. Following Professor Le Grand’s report, the Secretary of State for Education directed the local authority to contract with the Doncaster Children’s Services Trust (DCST). The DCST was the first independent non-profit company to be created to deliver children’s social care services, and began operating in September 2014. The terms of the direction set out that children’s services in Doncaster must be judged good by 2017 and outstanding by 2019. Children’s services in Doncaster were inspected in September 2015. The overall judgment remained inadequate, but the inspection reports made clear that ‘services for children and young people in Doncaster are improving’, but that there was further to go before children’s services could be judged good.
**The issue** The leadership of DCST recognised that a significant part of achieving sustained and rapid improvement would be building the capacity of the trust’s workforce to deliver high-quality frontline practice. Following an internal assessment of staff skills and the Ofsted inspection in autumn 2015, the trust’s leadership recognised there was the need for step-change in their approach to workforce development in order to speed and embed improvements in practice. They identified that there were some significant development needs in staff knowledge, practice and confidence that were cropping up regularly, which, if not addressed, could pose a significant risk to rapid and sustainable improvement.
**Actions taken** As a result, in February 2016, they launched the Practice Improvement Programme. The framework has three key elements. a. **A staff learning and development programme** – DCST has worked with partners Research in Practice to design a bespoke staff learning programme to ensure all staff had a consistent set of core skills and competencies, based on the latest policy guidelines and research, to apply in their practice. The programme focused on, for example, critical thinking in assessment, working with adolescents, public law outline, and relationship-based practice. b. **Coaching and mentoring** – working with partners iPeople, DCST has undertaken an assessment of the skills of team managers and advanced practitioners, which has been used to develop a bespoke programme of individual and group coaching and mentoring. c. **Practice advisers** – the programme has involved identifying six practice advisers, made up of three members of staff from DCST and three from partners iPeople. The role of the practice
\<page_number>58\</page_number> adviser is to work with specific frontline social work teams to embed effective and consistent practices, and to build the capacity and confidence of members of those teams.
These three elements were chosen deliberately and are integrally linked. The trust wanted to avoid taking a “tick-box” approach to staff training; instead, they wanted to ensure that the training translated into improvements to frontline practice, which is why the programme has coaching, mentoring and support from practice advisers at its heart.
**Change and impact**
DCST leaders described how the *Practice Improvement Programme* has ‘lifted the service, lifted staff’s enthusiasm for doing things differently’. They described how the majority of staff responded to the programme with a sense of relief – the programme had, in effect, given them permission to express the aspects of their practice about which they were not confident and where they would welcome support. As well as feedback from staff, DCST are also seeing improvements in the stability of the workforce. For example, there has been a reduction in the rate of agency staff from 18% to 9%, with 15 members of staff who had come to the Trust as agency staff now becoming permanent. All team managers and advanced practitioners are now permanent as well. Case audit is demonstrating a change in approach to using evidence-based tools and to the quality of assessment and recording of work. Sickness absence has reduced, and long-term sickness has reduced by half.
**Learning and reflections**
There were two main reflections that the DCST colleagues who took part in this research shared with us. First, they reflected that, in organisations that have previously been performing poorly, staff can become disillusioned and can miss out on development opportunities that keep their practice up-to-date. In organisations like this, a tick-box approach to training will, if anything, breed compliance rather than commitment and enthusiasm. For this reason, workforce development has to be focused on embedding new approaches in practice.
Second, they reflected on the importance of holding a firm line about the *Practice Improvement Programme*. They recognised that not all staff would welcome having their skills assessed, and indeed apologised to anyone who had been offended by this, but explained the rationale for the approach. Nevertheless, the trust’s leadership recognised that this was necessary in order to ensure that there was a shared approach to social work practice to which staff could commit.
The programme has had a very high level of engagement. At the recent staff summit events, the programme received overwhelmingly positive feedback, with just a few voices of concern that there is ‘too much training!’
\<page_number>59\</page_number> Case study 4: Hampshire County Council and the Isle of Wight Council
**Hampshire and Isle of Wight children’s services: Safely reducing the length of time children remain on child protection plans**
**Local context** Hampshire local authority has a longstanding reputation for high-quality children’s services and value for money. It has been judged consistently good or outstanding for over a decade. In January 2013 children’s services on the neighbouring Isle of Wight were judged to be inadequate and Hampshire was asked to provide support. A single leadership team was created with one Director leading both children’s services. Hampshire placed key leaders in the Isle of Wight to stabilise the leadership of the service, and set about diagnosing the issues, clearing the backlog of unallocated cases and putting in place the core systems needed for a secure and safe service. These were largely imported directly from Hampshire, although both local authorities recognise and assert that the learning between the two has increasingly become two-way. In November 2014 the Isle of Wight was judged, on re-inspection, to have improved to requires improvement.
**The issue** Despite the considerable progress made by the Hampshire-Isle of Wight partnership in developing a good-quality children’s service on the Isle of Wight, the number of children subject to child protection plans remained significantly higher than statistical neighbours and had increased dramatically between 2011 and 2015. The service was concerned about the impact this may be having on children, young people and their families. The high and growing child protection rate was also leading to pressure on the service and its partners, in terms of managing caseloads, attending child protection meetings and finances.
**Actions taken** The local authority set about trying to understand forensically what was driving the higher rates of child protection. They carried out a very extensive audit of child protection cases, looking particularly at the quality of plans, the actions that had been taken and the management of risk. The conclusions they drew from the initial audit exercise was that the rise in child protection cases had been to some extent an appropriate response to lack of action taken when the service was inadequate. At that point far too few children had been subject to child protection plans, and some children had been re-referred into social care five or six times in a year. As a result of this historical context, social workers had become more risk averse, and partner agencies had become less confident in supporting decisions to take children off child protection plans or managing risk without subject to plans.
In order to rebuild the confidence of staff to manage risk safely and create a shared language and understanding with partner agencies, the local authority:
- changed the format of child protection plans so that they were more family friendly and easier to use, with a RAG rating to allow a clear assessment of risk;
- carried out presentations on the new approach to child protection to partners at network meetings;
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- carried out thematic audits with partner agencies to explore thresholds;
- unpicked key cases at safeguarding leads meetings;
- rebuilt trust through multi-agency lunches at which casework was examined;
- shifted the point at which they carry out legal planning on child protection cases from 18 to 24 months after a child was placed on a plan to 12 months; and
- worked closely with the LSBC and key partners to ensure senior management engagement across the partnership regarding child protection processes/demands.
**Change and impact**
The number of children subject to a child protection plan is now heading in the right direction. Between October 2015 and April 2016 the number reduced from 276 to 210. Critically, this has been achieved without seeing any increase in re-registrations.
**Learning and reflections**
The Isle of Wight reflected that safely bringing down rates of child protection depended on a very clear analysis of what was driving the increase, actions to build the confidence of their own staff to manage risk appropriately and a focused strategy to increase the trust of partner agencies in social workers’ decision-making. Building the trust with partners required creating shared opportunities to explore and understand the issue.
\<page_number>61\</page_number> Case study 5: Lincolnshire County Council
**Lincolnshire children’s services: Creating a talent pool and understanding social worker career motivations**
**Local context** Lincolnshire children’s services have been judged to be good or outstanding for a number of years. They were judged to be good in their 2015 Ofsted inspection of children’s services under the new single inspection framework. In 2010, the Ofsted inspection rated safeguarding as outstanding and looked-after children provision was judged as good with outstanding capacity to improve. Lincolnshire have been working with the DfE as one of the small number of local authorities involved in the *partners in practice* initiative to work with and support other local authorities.
**The issue** Lincolnshire recently reviewed their recruitment and retention strategy, alongside workforce data, and identified that a number of social workers leave once qualified, typically within two or three years of starting employment. While this number is well below the national attrition levels for social workers, it was determined that it warranted further investigation to understand what changes and improvements may be needed. The authority wanted to understand this issue more deeply and also take action to increase the number of social workers who saw a longer-term career in Lincolnshire. They have therefore undertaken a workforce pilot with two aims.
a. Identify with team managers those staff who are performing well and likely to need a move of role in a given timeframe thus creating a “talent pool” for the future and eventually reducing reliance on agency workers. The intention over time is to improve staff retention further, which has dropped by 3% in 2014-15 from 2013-14, providing succession planning for middle leadership roles, encouraging career progression within Lincolnshire, and developing career pathways that would be attractive to staff.
b. Understand the career aspirations and motivations of our social work staff in order to be able to better target training and career development opportunities. By profiling a group of very capable performers, traits can be identified that should be considered in recruitment and should therefore inform the recruitment strategy.
**Actions taken** On the second aim above, Lincolnshire sent invitations and internet links to 123 staff to take part in two personality profiling questionnaires, which considered working styles and preferences, behaviour, and motivators (both positive and negative). The results of the tests were then used to create a map of behavioural profiles across all participants.
**Change and impact** The data and results from the tests are currently being analysed and show some interesting motivators and preferences across the workforce. One immediate learning point has been ensuring that the online testing system was open and accessible remotely to staff: a technical issue in the
\<page_number>62\</page_number> office meant that the speed of internet connectivity had an impact on the tests and the deadline was extended in order to be able to accommodate this slowness of access.
**Learning and reflections**
Lincolnshire are currently analysing the results in detail. Already they are suggesting an interesting range of questions that could be investigated in more depth.
- The initial results show that staff want to work in situations that have frameworks and structure and are less motivated in ambiguous, fluid environments. This could be an important finding for how new social workers are trained and developed. It is pertinent to consider whether the high levels of regulation and guidance in the profession have created this preference for more structured environments in staff, or whether authorities automatically recruit people with this trait? In the light of social work reform, how comfortable will existing staff be with changes as they come along?
- Initial findings have shown how confident staff feel in analysing and evaluating their practice, how able they are to maintain professional distance in their relationships, and how emotionally resilient they are in given situations.
- Staff had strong inclinations to work with others and in teams, exhibiting high levels of caring traits and curiosity about behaviour. These traits demonstrate the very human side of the role but did not always sit well with the necessary evaluative elements required.
The data from the testing should be very useful in helping to inform career trajectories for staff, develop training programmes and toolkits for social workers, and help job descriptions better reflect the skills and behaviour needed for new employees. In time, it should also be able to influence a refreshed workforce strategy and help the authority “know its workforce” more deeply.
Lincolnshire want to understand how the profile results compare with staff in other local authorities and are keen to enable other local children’s services to undertake similar exercises and share results to understand whether the behaviour, preferences and motivators are Lincolnshire-specific or have wider implications and learnings for the wider UK social work workforce.
\<page_number>63\</page_number> Case study 6: North Yorkshire County Council
**North Yorkshire children’s service: Embedding whole-service improvements**
**Local context** In 2009 North Yorkshire had a tricky inspection. While services for looked-after children were good, there were significant shortcomings in safeguarding services. The inspection report cited inconsistencies, unallocated work in one part of the county and plans that were not outcome-focused. A new Assistant Director arrived shortly after an Ofsted inspection that had judged children’s services to be adequate.
There was a clear mandate from the Chief Executive and Director of Children’s Services to bring about change and make rapid and sustained changes. The service was re-inspected shortly afterwards and, in January 2011, was judged to be a strong adequate. Services continued to improve and, in the full single inspection framework inspection in 2014, it was judged to be good across the board with seven good ratings. More recently, in late 2015, North Yorkshire was named as part of the DfE partners in practice programme, through which high-performing children’s services departments would support other local areas on their improvement journey.
**The issue** As a result of the inspection findings in 2009, the local authority was under no illusions about the need to achieve significant improvements in children’s services. At the time, there was a lack of oversight of frontline practice, budgets were overspent, and 25% of staff were agency social workers. Specifically, North Yorkshire focused on developing a long-term strategic plan not only for delivering improvements, but for sustaining and embedding these right across the council. To do that, two things were required. First, consistent and effective frontline social work practice had to become the norm across the organisation. Second, over time, the focus of support for children and families had to shift from statutory services to prevention and early help.
**Actions taken** Following initial work to secure the basics of the service and establish a long-term vision that was shared by all staff, North Yorkshire adopted a whole-service approach to driving improvements in children’s services. This has three key elements. a. **Strengthening routes into children’s services** – North Yorkshire developed a multi-agency customer contact centre, launched in September 2014. The aim was to ensure there were consistent thresholds used by all partner agencies, a single referral process, and the ability to target early help where it was needed most. Signs of Safety was embedded across the service and has played a key role in screening referrals to children’s services. This has been crucial to ensure that there is clear, consistent decision-making at the front door of the service using a solution-focused evidence base. b. **A strategic approach to placements and permanency** – North Yorkshire have similarly strong arrangements for managing the local care population. The Head of Safeguarding chairs a
\<page_number>64\</page_number> weekly pre-screening of all requests of those coming into care. This informs the placement and permanence panel, which exercises oversight of those coming into care, those who are looked after to ensure permanence planning is progressing, and those leaving care. A key focus at present is “preventing drift” and focusing on the best long-term outcomes for children aged 11 to 15 who are looked after. Aligned to these routines is the no wrong door approach, through which tailored early support is put in place to meet the needs of the most vulnerable young people on the edge of care or entering care later in their lives.
c. Forensic focus on consistency of practice – performance improvement groups in particular areas, such as safeguarding and looked-after children, have been established to enable senior leaders to scrutinise performance and practice and ask the “hard questions”. This ensures that there is continuous cycle of rigorous self-assessment, forensic analysis and practice improvement. This has been crucial to ensuring senior managers “know the business”, can identify potential risks early, and can take action to ensure practice is of a consistently high standard.
**Change and impact**
Between 2012 and 2016, North Yorkshire has seen a significant reduction in unnecessary referrals. The conversion of referrals to assessments has increased from 63.9% in 2012 to 970% in 2016. There are fewer strategy meetings, with a higher proportion of initial child protection conferences (80.4% in 2012, 91.8% in 2016) leading to a child protection plan. There have also been a 36% reduction in child protection plans (from 436 to 279) and a 15% reduction in looked-after children (from 488 to 415), while there has been an increase in early help cases. Financially, £3million is no longer being spent on the looked-after children budget, enabling further investment in prevention and early help. Overall, North Yorkshire leaders and staff are confident that the right cases are reaching the right teams at the right times.
**Learning and reflections**
Important though they are, effective routines, processes and structures are not the only factors in North Yorkshire’s improvement journey. As one senior leader put it, ‘systems and processes will not deliver a great organisation: people will’. Settled, consistent leadership, guided by a clear long-term vision and plan that is supported by the whole workforce, has been fundamental to North Yorkshire’s sustained improvements. Social workers echoed these comments, describing specifically how they valued having clarity about the overarching vision, about what effective practice looks like, and about how they would be supported to achieve this.
\<page_number>65\</page_number> Case study 7: Nottinghamshire County Council
**Nottinghamshire children's service: Piloting Social Work Support Officers**
**Local context** Nottinghamshire children's services has been on a steady improvement trajectory over the last six years. In late 2009, an unannounced Ofsted inspection judged their contact and referral arrangements to be inadequate. Senior leaders accepted the judgement and used it as an opportunity to re-focus work on child protection. A new strategic vision and plan were put in place for safeguarding and children's services, additional resources were provided by elected members, and consistent political support has been provided. A new MASH front door to children's services was established and a new approach to data monitoring was put in place. In 2015, Ofsted judged Nottinghamshire children's services to be good under the new single inspection framework.
**The issue** Nottinghamshire were aware that their social workers were spending significant time on lower-level administrative tasks that were "routine and time-consuming – and social workers tend to struggle with bureaucracy". The authority also wanted to respond to the increasing spend on agency staff by improving the recruitment and retention of their social workers.
They therefore piloted the establishment of a new support role – Social Work Support Officers (SWSOs) – in four frontline teams. The success criteria set for the pilot were:
- social workers spend more time with the children and families they are supporting;
- improved outcomes for children;
- improved morale of social workers leading to improved retention rates;
- improved throughput of social work cases; and
- reduced spend on agency social workers.
**Actions taken** The aim of the pilot was that the new SWSOs would take on routine tasks and 'provide a first point-of-contact for service-users'. Each SWSO was embedded within one of the frontline teams. The pilot aimed to test how the SWSOs were able to build relationships with these teams rather than being centralised support. The ratio was one SWSO to five social workers.
The pilot launched in 2015 and lasted 12 months. A job description was established and staff were recruited to new roles. The authority encountered some initial scepticism: some managers thought this was 'swimming against the tide of the budget reductions by recruiting more administrative staff'. Some other administrative support staff saw it as a possible threat to their roles.
**Change and impact** Nottinghamshire surveyed the SWSOs regularly, surveyed the pilot frontline teams, and compared this data with the evidence from the other non-pilot teams from the regular workforce health-checks. The main findings were:
\<page_number>66\</page_number>
- social workers in the pilot teams suggested they felt they had more time for direct work with families and had a better work/life balance following the establishment of the pilot;
- staff morale improved, with almost three-quarters of social workers in pilot teams describing themselves as happy, compared with one third in other teams;
- staff turnover reduced in the pilot teams (by 41%) compared with an increase in the non-pilot teams (by 142%), and sickness absence had reduced in the pilot teams by a third, compared with an increase in non-pilot teams;
- partners and other professionals provided positive feedback about the pilot, for example how they were able to have their questions dealt with by someone in the office rather than needing to wait for a social worker to respond; and
- there was a smaller increase in the use of agency staff in the pilot teams compared with non-pilot teams (a potential saving of £55,000).
**Learning and reflections**
Nottinghamshire have seen the pilot as effective: ‘we didn’t expect it to be this successful!’ There has been agreement to expand the pilot to fostering teams and other district child protection teams. Recruitment is currently taking place to the new roles and the new model will be operational from the end of May 2016. Strategy meetings with all the SWSOs will be used to communicate the importance of consistent roles and sharing examples of practice, ‘otherwise they can lose sight of the vision’, and also act as a way of engaging other stakeholders.
Nottinghamshire drew out three specific lessons from the pilot.
a. It was important that the roles remained consistent and SWSOs were not drawn off into undertaking tasks that were not appropriate and should remain the responsibility of social workers, for example completing a case file chronology. ‘We’ve done this by directing the reporting line for SWSOs to two senior SWSOs that are independent of the frontline teams, and reporting to one service manager.’
b. They needed to look across all the support being provided to social workers to ensure business support and SWSOs were aligned.
c. It takes time to see the impact. The authority said, ‘It is not possible to state unequivocally that the introduction of SWSOs is the sole reason for the pilot success criteria having been met, as so many other factors come into play in a frontline operating environment. We found it difficult to measure after six months, but after a year of the pilot running we were able to demonstrate a positive direction of travel for all of the success criteria. We expect that positive evidence will become even clearer as the model is embedded throughout the service. We did need to hold our nerve in the first six months when people were asking “where is the evidence of improvement?”’
(All quotes and evidence from Nottinghamshire County Council’s internal report on the pilot, and discussions with Steve Edwards (Service Director, Children’s Social Care) and Tara Pasque (project manager for the pilot)).
\<page_number>67\</page_number>
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Sir Nicholas Macpherson - Permanent Secretary HM Treasury Business Expenses - April - June 2010
<table>
<thead>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (Including Hospitality Given)</td>
<td>Total Cost £</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car Accommodation/ Meals</td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>15.03.10</td>
<td>London</td>
<td>Official meetings</td>
<td></td>
<td></td>
<td>£35.00</td>
<td>£140.00</td>
<td>£175.00</td>
</tr>
<tr>
<td>27-28.04.10</td>
<td>Sunningdale</td>
<td>Official meetings</td>
<td></td>
<td>£12.40</td>
<td></td>
<td></td>
<td>£12.40</td>
</tr>
</tbody>
</table>
Hospitality Received
<table>
<thead>
<tr>
<th>Date</th>
<th>Organisation Name</th>
<th>Type of Hospitality Received</th>
</tr>
</thead>
<tbody>
<tr>
<td>12.04.10</td>
<td>Lloyds Bank</td>
<td>Lunch</td>
</tr>
<tr>
<td>26.04.10</td>
<td>PricewaterhouseCoopers</td>
<td>Lunch</td>
</tr>
<tr>
<td>30.04.10</td>
<td>The Goldsmiths' Company</td>
<td>Lunch and speaking engagement</td>
</tr>
<tr>
<td>19.05.10</td>
<td>Confederation of British Industry</td>
<td>Dinner</td>
</tr>
<tr>
<td>24.05.10</td>
<td>Australian Chief Executive Officer Forum, organised by RBS (Australia)</td>
<td>Lunch and speaking engagement</td>
</tr>
<tr>
<td>03.06.10</td>
<td>Chartered Institute of Public Finance and Accountancy.</td>
<td>Reception</td>
</tr>
<tr>
<td>16.06.10</td>
<td>Mansion House</td>
<td>Dinner</td>
</tr>
<tr>
<td>25.06.10</td>
<td>Nuffield College</td>
<td>Dinner</td>
</tr>
<tr>
<td>29.06.10</td>
<td>UK Statistics Authority</td>
<td>Lunch</td>
</tr>
<tr>
<td>29.06.10</td>
<td>British Bankers' Association</td>
<td>Reception</td>
</tr><tr><th colspan="3"></th><th>Reception</th></tr><tr><th colspan="3"></th><th>Financial Times Reception </th></tr></tbody></table>
Tom Scholar – Second Permanent Secretary HM Treasury
Business Expenses – April - June 2010
No expenses were incurred during this period.
Hospitality Received
<table>
<thead>
<tr>
<th>Date</th>
<th>Organisation Name</th>
<th>Type of Hospitality Received</th>
</tr>
</thead>
<tbody>
<tr>
<td>14.04.10</td>
<td>Credit Suisse</td>
<td>Lunch</td>
</tr>
<tr>
<td>06.05.10</td>
<td>Pricewaterhouse Coopers</td>
<td>Breakfast</td>
</tr>
<tr>
<td>25.05.10</td>
<td>Deutsche Bank</td>
<td>Lunch</td>
</tr>
<tr>
<td>02.06.10</td>
<td>City of London Corporation</td>
<td>Breakfast</td>
</tr>
<tr>
<td>29.06.10</td>
<td>Bank of New York Mellon</td>
<td>Lunch</td>
</tr>
<tr>
<td>29.06.10</td>
<td>British Bankers' Association</td>
<td>Reception</td>
</tr>
</tbody>
</table>
Michael Ellam – Managing Director International and Finance HM Treasury
Business Expenses – April - June 2010
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (Including Hospitality Given)</th>
<th>Total Cost £</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>01-03.12.09</td>
<td>Brussels</td>
<td>Official meetings</td>
<td></td>
<td></td>
<td>£6.15</td>
<td>£322.28</td>
<td>£20.00</td>
<td>£348.43</td>
</tr>
<tr>
<td>21.01.10</td>
<td>Sweden</td>
<td>Official meetings</td>
<td></td>
<td></td>
<td>£95.00</td>
<td>£152.70</td>
<td>£10.00</td>
<td>£257.70</td>
</tr>
<tr>
<td>23-29.01.10</td>
<td>China</td>
<td>Official meetings</td>
<td></td>
<td></td>
<td></td>
<td>£396.00</td>
<td>£60.00</td>
<td>£456.00</td>
</tr>
<tr>
<td>02.02.10</td>
<td>Brussels</td>
<td>Official meetings</td>
<td></td>
<td></td>
<td></td>
<td>£206.60</td>
<td>£10.00</td>
<td>£216.60</td>
</tr>
<tr>
<td>15.02.10</td>
<td>Brussels</td>
<td>Official meetings</td>
<td></td>
<td></td>
<td></td><td>£160.05</td><td>£10.00</td><td>£170.05</td>
</tr>
<tr>
<td>25-28.02.10</td><td>Korea</td><td>Official meetings</td><td></td><td></td><td></td><td>£406.59</td><td>£40.00</td><td>£446.59</td>
</tr>
<tr>
<td>04-05.03.10</td><td>Brussels</td><td>Official meetings</td><td></td><td></td><td>£22.01</td><td>£166.64</td><td>£10.00</td><td>£198.65</td>
</tr>
<tr>
<td>15.03.10</td><td>Brussels</td><td>Official meetings</td><td></td><td></ td><td></ td><td>$165.35$ </ td><td>$10.0$ </ td><td>$175.35$ </ td >
</tr>
<tr style="border-top: 1px solid black;">
<td rowspan="2">17-19.03.10<br/> 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8<br/> </table>
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<tr style=""
<table>
<thead>
<tr>
<td>16.04.10</td>
<td>*Madrid</td>
<td>Official meetings</td>
<td>£343.70</td>
<td></td>
<td></td>
<td></td>
<td>£343.70</td>
</tr>
</thead>
<tbody>
<tr>
<td>21-25.04.10</td>
<td>Washington</td>
<td>Official meetings</td>
<td>£4,586.55</td>
<td>£221.02</td>
<td>£1,022.93</td>
<td>£50.00</td>
<td>£5,880.50</td>
</tr>
<tr>
<td>28.04.10</td>
<td>Brussels</td>
<td>Official meetings</td>
<td>£378.00</td>
<td>£26.00</td>
<td></td>
<td></td>
<td>£404.00</td>
</tr>
<tr>
<td>09.05.10</td>
<td>Brussels</td>
<td>Official meetings</td>
<td>£378.00</td>
<td>£26.00</td>
<td></td>
<td></td>
<td>£404.00</td>
</tr>
<tr>
<td>17.05.10</td>
<td>Brussels</td>
<td>Official meetings</td>
<td>£229.00</td>
<td></td>
<td>$157.59</td>
<td>$10.00</td>
<td>$396.59</td>
</tr>
<tr>
<td>18-20.05.10</td>
<td>Berlin</td>
<td>Official meetings</td>
<td>£692.10</td>
<td>$110.71</td>
<td>$272.61</td>
<td>$20.00</td>
<td>$1,095.42</td>
</tr>
<tr>
<td>26.05.10</td>
<td>Malta</td>
<td>Official meetings</td>
<td>£319.29</td>
<td>$87.73</td>
<td>$267.35</td>
<td>$20.00</td>
<td>$694.37</td>
</tr>
<tr>
<td>01.06.10</td>
<td>Brussels</td>
<td>Official meetings</td>
<td>£378.00</td>
<td>$36.00</td>
<td></td>
<td></td><td>$414.00</td>
</tr>
<tr>
<td>02- 06.06.10 </td><td></td><td></td><td></td><td></td><td></td><td></ td><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></table>
Hospitality Received
<table border="1">
<thead border="1">
<tr border="1">
<th>Date<br/>20.05.10<br/>16.06.10<br/></th>
<th>Organisation Name<br/>Embassy of Japan<br/>Mansion House<br/></th>
<th>Type of Hospitality Received<br/>Lunch<br/>Dinner<br/></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
- Additional travel due to the disruption caused by the Iceland volcanic ash cloud. Andrew Hudson – Managing Director of Public Services and Growth Business Expenses – April - June 2010
<table>
<thead>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (Including Hospitality Given)</td>
<td>Total Cost £</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>09.04.10</td>
<td>Newcastle</td>
<td>Official meeting</td>
<td>£233.23</td>
<td></td>
<td>£68.55</td>
<td></td>
<td>£301.88</td>
</tr>
</tbody>
</table>
Hospitality Received
<table>
<thead>
<tr>
<td>Date</td>
<td>Organisation Name</td>
<td>Type of Hospitality Received</td>
</tr>
</thead>
<tbody>
<tr>
<td>09.04.10</td>
<td>Big Lottery Fund</td>
<td>Lunch</td>
</tr>
</tbody>
</table>
Emma Lindsell – Corporate Services Director
Business Expenses – April - June 2010
<table>
<thead>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (Including Hospitality Given)</td>
<td>Total Cost £</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>04.05.10</td>
<td>Norwich</td>
<td>Official meeting</td>
<td>£41.35</td>
<td>£32.00</td>
<td></td>
<td></td>
<td>£73.35</td>
</tr>
<tr>
<td>10.06.10</td>
<td>Norwich</td>
<td>Official meeting</td>
<td>£54.00</td>
<td></td>
<td></td>
<td></td>
<td>£54.00</td>
</tr>
</tbody>
</table>
**Hospitality Received**
Emma did not receive any hospitality during this period. Sir Callum McCarthy – Treasury Non Executive Director Business Expenses – April – June 2010
<table>
<thead>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (Including Hospitality Given)</td>
<td>Total Cost £</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>22.04.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£12.00</td>
<td></td>
<td>£12.00</td>
</tr>
</tbody>
</table>
**Hospitality Received**
Callum did not receive any hospitality during this period. Dave Ramsden – Managing Director of Macroeconomics and Fiscal Policy Business Expenses – April - June 2010
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (Including Hospitality Given)</th>
<th>Total Cost £</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>26.04.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£29.00</td>
<td></td>
<td>£29.00</td>
</tr>
<tr>
<td>27.04.10</td>
<td>London</td>
<td>Work to home</td>
<td></td>
<td></td>
<td>£18.90</td>
<td></td>
<td>£18.90</td>
</tr>
<tr>
<td>29.04.10</td>
<td>London</td>
<td>Work to home</td>
<td></td>
<td></td>
<td>£26.00</td>
<td></td>
<td>£26.00</td>
</tr>
</tbody>
</table>
Hospitality Received
<table>
<thead>
<tr>
<th>Date</th>
<th>Organisation Name</th>
<th>Type of Hospitality Received</th>
</tr>
</thead>
<tbody>
<tr>
<td>27.04.10</td>
<td>Bank of England</td>
<td>Breakfast</td>
</tr>
<tr>
<td>25.05.10</td>
<td>Confederation of British Industry</td>
<td>Lunch</td>
</tr>
<tr>
<td>16.06.10</td>
<td>Mansion House</td>
<td>Dinner</td>
</tr>
<tr>
<td>28.06.10</td>
<td>Commission – Brussels</td>
<td>Dinner and accommodation</td>
</tr>
</tbody>
</table>
Ray Shostak – Head of Prime Ministers Delivery Unit
Business Expenses – April – June 2010
<table>
<thead>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (Including Hospitality Given)</td>
<td>Total Cost £</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>22.04.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£3.50</td>
<td></td>
<td>£3.50</td>
</tr>
<tr>
<td>30.04.10</td>
<td>Heathrow</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£60.53</td>
<td></td>
<td>£60.53</td>
</tr>
<tr>
<td>20.05.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£11.00</td>
<td></td>
<td>£11.00</td>
</tr>
<tr>
<td>26.05.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£19.00</td>
<td></td>
<td>£19.00</td>
</tr>
<tr>
<td>27.05.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£15.00</td>
<td></td>
<td>£15.00</td>
</tr>
</tbody>
</table>
Hospitality Received
<table border="1">
<thead>
<tr><th>Date</th><th>Organisation Name</th><th>Type of Hospitality Received</th></tr>
</thead>
<tbody>
<tr><td>03.05.10 – 06.05.10</td><td>World Bank</td><td>Flights and accommodation</td></tr>
</tbody>
</table>
Jonathan Taylor - Managing Director Financial Services and Stability
Business Expenses - April - June 2010
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (Including Hospitality Given)</th>
<th>Total Cost £</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>25.02.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td>£12.00</td>
<td></td>
<td>£12.00</td>
</tr>
</tbody>
</table>
Hospitality Received
<table>
<thead>
<tr>
<th>Date</th>
<th>Organisation Name</th>
<th>Type of Hospitality Received</th>
</tr>
</thead>
<tbody>
<tr>
<td>06.04.10</td>
<td>Financial Services Authority</td>
<td>Lunch</td>
</tr>
<tr>
<td>14.04.10</td>
<td>Credit Suisse</td>
<td>Lunch</td>
</tr>
<tr>
<td>19.04.10</td>
<td>The Futures and Options Association</td>
<td>Lunch</td>
</tr>
<tr>
<td>20.04.10</td>
<td>Nomura</td>
<td>Lunch</td>
</tr>
<tr>
<td>23.04.10</td>
<td>New York Stock Exchange Euronext/Liffe</td>
<td>Lunch</td>
</tr>
<tr>
<td>27.04.10</td>
<td>Fidelity Investments International</td>
<td>Lunch</td>
</tr>
<tr>
<td>28.04.10</td>
<td>The People's Bank of China</td>
<td>Lunch</td>
</tr>
<tr>
<td>29.04.10</td>
<td>Bank of England</td>
<td>Lunch</td>
</tr>
<tr>
<td>05.05.10</td>
<td>Deutsche Bank</td>
<td>Lunch</td>
</tr>
<tr>
<td>11.05.10</td>
<td>Investment Management Association</td>
<td>Lunch</td>
</tr>
<tr>
<td>24.05.10</td>
<td>Securities Industries and Financial Markets Association</td>
<td>Breakfast</td>
</tr>
<tr>
<td>27.05.10</td>
<td>Finance and Leasing Association</td>
<td>Lunch</td>
</tr>
<tr>
<td>09.06.10</td>
<td>Mansion House</td>
<td>Dinner</td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>11.06.10</td>
<td>National Air Traffic Services</td>
<td>Lunch</td>
</tr>
<tr>
<td>16.06.10</td>
<td>Mansion House</td>
<td>Dinner</td>
</tr>
<tr>
<td>22.06.10</td>
<td>Association of Foreign Banks</td>
<td>Lunch</td>
</tr>
<tr>
<td>23.06.10</td>
<td>Deutsche Bank</td>
<td>Lunch</td>
</tr>
<tr>
<td>28.06.10</td>
<td>Association for Financial Markets in Europe</td>
<td>Dinner</td>
</tr>
<tr>
<td>29.06.10</td>
<td>US Financial Services Roundtable</td>
<td>Lunch</td>
</tr>
<tr>
<td>29.06.10</td>
<td>British Bankers' Association</td>
<td>Reception</td>
</tr>
</tbody>
</table>
Edward Troup - Managing Director Budget Tax and Welfare
Business Expenses - April - June 2010
<table>
<thead>
<tr>
<td>DATES</td>
<td>DESTINATION</td>
<td>PURPOSE</td>
<td colspan="3">TRAVEL</td>
<td>OTHER (Including Hospitality Given)</td>
<td>Total Cost £</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>22.03.10</td>
<td>London</td>
<td>Official meeting</td>
<td></td>
<td></td>
<td></td>
<td>£25.00</td>
<td>£25.00</td>
</tr>
</tbody>
</table>
Hospitality Received
<table>
<thead>
<tr>
<td>Date</td>
<td>Organisation Name</td>
<td>Type of Hospitality Received</td>
</tr>
</thead>
<tbody>
<tr>
<td>11.05.10</td>
<td>The Institute of Directors</td>
<td>Reception</td>
</tr>
</tbody>
</table>
Louise Tulett – Director of Finance and Procurement
Business Expenses – April – June 2010
<table>
<thead>
<tr>
<th>DATES</th>
<th>DESTINATION</th>
<th>PURPOSE</th>
<th colspan="3">TRAVEL</th>
<th>OTHER (Including Hospitality Given)</th>
<th>Total Cost £</th>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Air</td>
<td>Rail</td>
<td>Taxi/Car</td>
<td>Accommodation/ Meals</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>21.04.10</td>
<td>Norwich</td>
<td>Official meetings</td>
<td>£49.00</td>
<td>£12.00</td>
<td></td>
<td></td>
<td>£61.00</td>
</tr>
<tr>
<td>10.06.10</td>
<td>Norwich</td>
<td>Official meetings</td>
<td>£40.00</td>
<td>£12.00</td>
<td></td>
<td></td>
<td>£52.00</td>
</tr>
<tr>
<td>22.06.10</td>
<td>Norwich</td>
<td>Official meetings</td>
<td>£41.00</td>
<td></td>
<td></td>
<td></td>
<td>£41.00</td>
</tr>
</tbody>
</table>
Hospitality Received
Louise did not receive any hospitality during this period.
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3537-pdf
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<img>Cyfoeth Naturiol Cymru Natural Resources Wales logo</img>
**Adroddiad ar Gynllun Lwfansau Tirlenwi (CLT) Cymru 2016/17**
Canlyniadau terfynol
Hydref 2017
<watermark>
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Sponsored by Welsh Government
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© Cyfoeth Naturiol Cymru
Cedwr pob hawl. Cewch atgynhyrchu'r ddogfen hon trwy ganiatâd o flaea llaw gan Gyfoeth Naturiol Cymru. **Crynodeb Gweithredol**
Mae'r adroddiad hwn yn cwmpasu Ddeuddeg fwyddyn lawn Cynllun Lwfansau Tirlenwi (CLT) Cymru, o 1 Ebrill 2016 i 31 Mawrth 2017.¹ Mae canlyniadau a gyflwynir yn yr adroddiad hwn yn derfynol. Pwrpas y cyllun yw sicrhau nad yw gwastraff trefol pydradwy yn cael ei anfon i safleoedd tirlenwi. Mae Llwydrodref Cymru yn Gosod cyfyngiadau ar faint o gwastraff trefol pydradwy gaiff awdurddodau lleol yng Nghymru ei dirlenwi.
**Penawdau cydymffurfiaeth**
Roedd awdurddodau lleol Cymru wedi tirlenwi 90,827² o dunelli o wastraff trefol pydradwy yn 2016/17, o gyfranu à lwfans o 390,000 o dunelli ar gyfer Cymru gyfan. Roedd hyn 77% yn llai (299,173 o dunelli) na'r lwfans. Llwyddodd y 22 awdurddod lleol i gynhyrchu o fewn y lwfans unigol a bennwyd iddynt.
Mae Cymru wedi lleihau faint o wastraff trefol pydradwy a dirlenwyd gan 89% (760,662 o dunelli³) ers blwyddyn lawn gyntaf y cyllun yn 2005/06. Mae lleihau faint o wastraff trefol pydradwy sy'n cael ei anfon i safleoedd tirlenwi yn helpu i leihau allniadau nwyon ty gwydr, gan talal nwy methan rhag cael ei gynhyrchu a'i ryddhau i'r aer o safleoedd tirlenwi. Mae hyn yn bwys am fod methan dau ddeg pum gwaith yn glyrchaf na charbon duocoid fel nwy tŷ gwyr.
O edrych ar berformiadau unigol awdurddodau lleol ar gyfer 2016/17, defnyddiodd Blaenau Gwent, Caerdydd, Sir Ddinbych, Sir Fflint, Merthyr Tudful, Sir Fynwy, Rhondda Cynon Taf, Thorfaen, Bro Morgannwg a Wrecsam lai na 10% o'u lwfansau, tra bod Gwynedd a Abertawe wedi defnyddio dros 70% o'u lwfansau.
At ei gilydd, mae awdurddodau lleol wedi parhau i wneud cynnydd da wrth ddargyfreio gwastraff trefol pydradwy rhag cael ei dirlenwi. Fodd bynnag, bydd cyflawni'r targedau sydd i ddod, hyd at 2020, yn arbenig o anodd i'r awdurddodau lleol hynn y aedd yn agos at fynd y tu hwnt i'w lwfansau unigol ar gyfer 2016/17.
______________________________________________________________________
¹ Cyfeiria'r Cynllun Lwfansau Tirlenwi ond at wastraff trefol a gesglir gan awdurddodau lleol. ² Allan o gyfanswm o 1,589,795 o dunelli o wastraff trefol pydradwy a gasglwyd gan awdurddodau lleol Cymru. ³ Anfonwyd 851,489 o dunelli o wastraff trefol pydradwy i'w dirlenwi yn 2005-06.
tud. 2 **Cynnwys**
<table>
<tr>
<td>1 Cefndir</td>
<td>4</td>
</tr>
<tr>
<td>2 Dilysu – Awdurdod Monitro</td>
<td>5</td>
</tr>
<tr>
<td>3 Cydymffurfiaeth gan awdurddodau lleol</td>
<td>6</td>
</tr>
<tr>
<td>Atodiad 1 - Cydymffurfiaid Awdurdod Lleol o gymharu â thargedau</td>
<td>8</td>
</tr>
<tr>
<td>Atodiad 2 – Gwaith cyfwyno adroddiadau gan awdurddodau lleol</td>
<td>10</td>
</tr>
<tr>
<td>Atodiad 3 – Map sy'n crynhoi lefelau cydymffurfio awdurddodau lleol</td>
<td>13</td>
</tr>
<tr>
<td>Gwybodaeth Ansawdd Allweddol</td>
<td>14</td>
</tr>
<tr>
<td>Geirfa</td>
<td>15</td>
</tr>
</table>
**Ffigurau a Thablau**
<table>
<tr>
<td>Ffigur 1.</td>
<td>Maint y gwastraff trefol pydradwy a dirlenwyd o gymharu â lwfansau awdurddodau lleol Cymru 2015/16</td>
<td>9</td>
</tr>
<tr>
<td>Ffigur 2.</td>
<td>Cyfran yr awdurddodau lleol a adroddodd yn brydion yn 2015/16 o gymharu â 2014/15</td>
<td>11</td>
</tr>
<tr>
<td>Tabl 1.</td>
<td>Cymharu data WasteDataFlow (WDF) a chofnodion safleoedd tirlenwi sy'n dengos faint o weastraff trefol a dirlenwyd yn Nghanru yn 2015/16 a'r gwahaniaeth rhwng y ddwy gyfres o ddata cyn ac ar ôl y broses dailysu</td>
<td>6</td>
</tr>
<tr>
<td>Tabl 2.</td>
<td>Performiad CLT ar gyfer 2016/17</td>
<td>8</td>
</tr>
<tr>
<td>Tabl 3.</td>
<td>Canllawiau adrodd statudol y CLT</td>
<td>10</td>
</tr>
<tr>
<td>Tabl 4.</td>
<td>Cydymffurfiaeth à therlynau amser ar gyfer adrodd data WasteDataFlow; fesul awdurddod lleol</td>
<td>12</td>
</tr>
</table>
tud. 3
# 1 Cefndir
Sefydlywd Cynllun Lwfansau Tirlenwi Cymru⁴ drwy Reoliadau Cynllun Lwfansau Tirlenwi (Cymru) 2004. Pwrpas y cynllun yw sicrhad nad yw gwastraff trefol pydradwy yn cael ei anfon i safleoedd tirleni. Mae lleihau faint o wastraff trefol pydradwy sy'n cael ei anfon i safleoedd tirleni yn helpu i leihau allyniadu nwyny tŷ gwyrdd, gan atal nwy rhann rhag cael ei gynhyrchu a'r ryddhau i'r aer o safleoedd tirleni. Mae methan ddau ddeg pum gwaith yn grifthach na charbon deuocsid fel nwy tŷ gwyrdd.
Mae Llywodraeth Cymru yn gosod cyfyngiadau ar faint o wastraff trefol pydradwy gaiff awdurddodau lleol yng Nghymru ei dirleni. Cyfoeth Naturiol Cymru yw awdurddod monitro'r cynllun, ac mae'n ddyletswydd arno i adrodd ar berfformiad mewn perthnas â lwfansau blynnydol pob awdurddol lleol a'r cyfanswm ar gyfer Cymru gyfan. Mae Cyfoeth Naturiol Cymru yn gyfrifol am gysoni'r lwfansau sydd ar gael i bob awdurddol lleol i gyd-fynd â faint o wastraff trefol pydradwy a dirwenydd ganddynt. Mae Cyfoeth Naturiol Cymru yn amcanigfryd faint o wastraff trefol pydradwy a antonior i'w dirleni, a hynny gan dddefnyddio dull o gydbwsyo mäs.⁵
Dywed rheoliadau'r Cynllun Lwfansau Tirlenwi y dylai'r gwastraff pydradwy a gesglir fod yn 61% o gyfanswm y gwastraff trefol a gesglir. Ers hynny, mae Llywodraeth Cymru wedi odolygu pydradwydd gwastraff trefol ac wedi dod i'r casgliad bod y figur hwn dal yn briodol.
Ymhen pum mis i ddiweddw y flwyddyn gynnill, rhaidd i Gyfoeth Naturiol Cymru bennu faint o wastraff trefol pydradwy a dirfenwyd gan bob awdurddol lleol. Mae Cyfoeth Naturiol Cymru yn darparu data blynnydol a gysonwyd i Lywodraeth Cymru ar 1 Medi bob blynddydd. Ymgynghoriâ'r Chymdeithas Lywodraeth Leol Cymru ac awdurddodau lleol ynghyllych y data, a chyhoeddi yr adroddiad terfynol ar wefan Cyfoeth Naturiol Cymru, sy'n gweithredu fel cofrestr y lwfansau tirlenwi.
Hysbysiwr Llywodraeth Cymru os yw unrhyw awdurddol lleol yn mynd yr tu hwnt i'r lwfans a ganiateir iddo, a bydd yr awdurddol lleol yn agored i gael ei gobib'n ariannol. Rhaidd i Lywodraeth Cymru sefydlu a chynnal colfrestr cosbaw sy'n cynrwnys manylion gorchmynion o'r fath.
Gellir cael rhagor o wybodaeth am ddyrrannu lwfansau yn nogfen Llywodraeth Cymru 'Cynllun Lwfansau Tirlenwi: Dyrannu Lwfansau 2009-2020'.⁶
⁴ Cyfeiria'r Cynllun Lwfansau Tirlenwi ond at wastraff trefol a gesglir gan awdurddodau lleol. ⁵ Mae disgrifiad cryno o'r dull o gydbwsyo mäs yn yr eiffa. ⁶http://gov.gov.uk/topics/environmentcountryside/epg/waste_recycling/disposal/landfill/allowances/?skip=1&lang=en tud: 4 **2 Dilysu – Awdurdod Monitro**
Mae blwyddyn y Cynllun Lwfansau Tirleniw yn para o 1 Ebrill hyd 31 Mawrth. Mae Cyfoeth Naturiol Cymru yn defnyddio proses dau gymlaf, bob chwarter, er mwyn archwilio'r data ar ôl iddi gael ei gyffwynio i WasteDataFlow7. Archwiliad desg o'r holl dddata a gyffrwynwyd gan awdurddodau lleol yn cyfal un. Yng nhymhal daig, caiff WasteDataFlow ei ddilysu gan ddefnyddio cofnodion safleoedd tirleniw. Yn 2012, dechreudd Cyfoeth Naturiol Cymru ar broses chwarterol o ddilysu data safleoedd pen y daith ar gyfer targedau adfer statudol yr awdurddodau lleol. Mae hyn yn cynnwys archwiliad desg ar sail y swmp o ddeunydd yr adroddydd ei fod wedi'i adfer bob blwyddyn gynnill.
**2.1 Cymharu WasteDataFlow a chofnodion safleoedd tirleniw**
Mae Tabl 1 yn dangos y figurau ar gyfer faint o wastraff tirleniw a ddilyswyd gan Gyfoeth Naturiol Cymru yn 2016/17. Mae'r canlyniadau'n dangos canran y gwahaniaethau gwreiddiol a therfynol rhwng y ddwy gyfres o dddata, cyn ac ar ôl dilysu. Yn 2016/17, roedd gwahaniaetha o 0.9% (neu 1,384 o dunelli) rhwng y ffugirau ar ôl eu dilys. Mae hyn yn llai na'r gwahaniaeth o 1.6% yn 2015/16. Mae cyfanwm sy gwahaniaeth terfynol yn gyfforddus o fewn y targed o 10% a osodwyd gan Lywodraeth Cymru. Mae hyn yn welliant mawr o gymharu â'r gwahaniaethau gwreiddiol, cyn dilysu, ym mhob chwarter o'r flwyddyn.
O'r 148,477 o dunelli a ddilyswyd gan Gyfoeth Naturiol Cymru, anfonwyd 137,012 o dunelli i safleoedd tirleniw yng Nghymru a 9,920 o dunelli i safleoedd tirleniw yn Lloegr. Tirleniwyd y gweddwl ar ôl ynni gan driniaethau gwastraff y tu allan â'r DU. Mae gan y gwastraff hwn bydradywedd o 0%.
Ar ôl cynnal 88 archwiliad ar gyfer yr awdurddodau lleol drwy gydol blwyddyn y cynllun, mae 4 yn parhau i ddangos anghysnedeb o twy na 10% neu 100 tunnell. Achoswyd y gwahaniaethau rhwng y ddwy gyfres o dddata am sawl rheswm, yn eu plith:
- safre tirleniwni cofnodio gan ddefnyddio Rhestr Wastraff (neu Catalog Gwastraff Ewrop), tra bod awdurddodau lleol yn adrodd yn WasteDataFlow yn ôl y math o ddeunydd. Mae'r systemau adrodd hyn yn creu trafferthion wrth gynharu a hefyd wrth wahaniaethau gwastraff trefol, yn ôl ei ddifiniad dan reoliadu'r Cynllun Lwfansau Tirleniw;
- mae'n bosibl bod contractwr preifat yn cymryd gwastraff trefol nad yw'n fater l'r awdurddod lleol a gwastraff nad yw'n drefol yn yr un cerbyd a ddefnyddir i gasglu gwastraff trefol yr awdurddod lleol. Felly, mae'n anodd
7 Cofnodir a chyllwynyr data drwy gyfrwnig dull adrodd ar-lein (WasteDataFlow), ac le'i rhanniw yn gyfres o lefelau, o d (cofnodi data) i 40 (Llywodraeth Cymru). Mae awdurddod lleol yn cyffwyno data i Gyfoeth Naturiol Cymru i'w dilys a lefel 30.
tud. 5 cyfrifo'n gywir swm y gwastraff trefol a gasglwyd gan awdurod dIeol ac a dddebynniwyd ar y safte tirlenwi;
- anawsterau gyda phentyrru a/neu ddosrannu gwastraff trefol o safle tirlenwi a ddefnyddir gan sawl awdurod dIeol.
**Tabl 1. Cymharu data WasteDataFlow (WDF) a chofnodion safleoedd tirlenwi sy'n dangos faint o wastraff trefol a dirlenyd yng Nghymru yn 2016/17 a'r gwahaniaeth rhwng y ddwy gyfres o ddata cyn ac ar ôl y broses ddilysu**
<table>
<thead>
<tr>
<th rowspan="3">Chwarter</th>
<th colspan="2">2016-17</th>
<th colspan="2">2016-17</th>
<th colspan="2">2016-17</th>
</tr>
<tr>
<td>Gwybodaeth safleoedd - gwastraff soled dinesig</td>
<td>WasteDataFlow -- gwastraff soled dinesig</td>
<td></td>
<td>% Gwahaniaeth:</td>
<td></td>
</tr>
<tr>
<td>a anfonwyd i safleoedd tirlenwi (tunelli)</td>
<td>a anfonwyd i safleoedd tirlenwi (tunelli)</td>
<td></td>
<td>rhwng y ddwy set o data</td>
<td></td>
</tr>
</thead>
<tbody>
<tr>
<td>G wreiddiol</td>
<td>Terfynol</td>
<td>G wreiddiol</td>
<td>Terfynol</td>
<td>G wreiddiol</td>
<td>Terfynol</td>
</tr>
<tr>
<td>1</td>
<td>36.948</td>
<td>39.844</td>
<td>39.751</td>
<td>40,316</td>
<td>7.1%</td>
<td>1.2%</td>
</tr>
<tr>
<td>2</td>
<td>35.436</td>
<td>38,900</td>
<td>38,995</td>
<td>39,311</td>
<td>9.1%</td>
<td>1.0%</td>
</tr>
<tr>
<td>3</td>
<td>24,959</td>
<td>33,327</td>
<td>33,439</td>
<td>33,218</td>
<td>25.4%</td>
<td>0.3%</td>
</tr>
<tr>
<td>4</td>
<td>31,579</td>
<td>35,239</td>
<td>34,061</td>
<td>35,632</td>
<td>7.3%</td>
<td>1.1%</td>
</tr>
<tr style="background-color: #f0f0f0;">
<th>Cyfanswm</th>
<th>128,922</th>
<th>147,311</th>
<th>146,246</th>
<th>148,477</th>
<th>11.8%</th>
<th>0.9%</th>
</tr>
</tbody>
</table>
- Dyma gyfanswm y Gwastraff Trefol Solet (GTS) a adroddywd ei fod wedi'i tirlenwi yn WasteDataFlow, ac wydd wedi'r wirio mewn perthynas a chofnodion safle. Bydd a ffugir hwn ychydig yn na'r cyfanswm a anfonwyd i safleoedd tirlenwi am nad yw peth gwastraff tirlenwi yn cael ei ddilysu oherwydd dosrenin gwastraff gwthredoged a gwastraff a wthodwyd ar ôl sawl proses drin, lle na ellir nodi'r safle tirlenwi neu gyfran yr awdurod dIeol.
**3 Cydymffurfiaeth gan Awdurododau Lleol**
Ceir a canlyniadau cyfan ar gyfer blwyddyn fiontir 2016/17 yn Atodiad 1 ar y tudalennau canlynol.
Mae'r canlyniadau blynodydl yn dangos bod yr holl awdurododau lleol wedi cyflawni eu rhwymediageithau parhedh y lwfansa tirlenwi ynystod 2016/17. Anfonwyd 90,827 o dunelli o wastraff trefol pydradwy o Gymru i Gael eu tirlenwi o gymharu llwfans o 390,000 o dunelli ar gyfer Cymru gyfan. Golgya hyn fod awdurododau lleol Cymru gyda'r gilydd wedi tirlenwi 77% (299,173 o dunelli) o wastraff trefol pydradwy yn llai na'r lwfansa ar gyfer 2016/17.
Dengys y canlyniadau fod gan 20 o awdurododau lleol ddigon o ofod wrth gefn ar gyfer bodloni eu rhwymediageithau yn y dyfedol ohewrydd iddynt dddefnyddio llai na 70% o'u lwfansa. Defnyddiodd Blaenau Gwent, Caerdydd, Sir Ddinbych, Sir Fflint, Merthyr Tudful, Sir Fynyw, Rhondda Cynon Taf, Thorfaen, Bro Morgannwg a tud: 6 Wrecsam lai nag 10% o'u lwfans dynodedig. Defnyddiodd Pen-y-bont ar Ogwr, Caerfili, Sir Gaerfyrddin, Ceredigion, Ynys Môn, Castell-nedd Port Talbot, Casnewydd. Sir Benfro a Powys lai na 50% o'u lwfans dynodedig. Defnyddiodd Conwy lai na 70% o'u lwfans dynodedig. Defnyddiodd Gwynedd ac Abertawe fwy na 70% o'u lwfans.
Mae Atodiad 3 yn dangos adlewyrchiad daearyddol o berformiad yn erbyn y Cynllun Lwfansau Tirlenwi yn Nghymru. Mae'r rhesymau dros newidiadau wrth ddefnyddio lwfansau'n amrywio yn ôl blynyddoedd a tesul awdurod lleol. Yn gyffredinol, gellir priodoli newidiadau i'r canlynol:
- newidiadau i wasanaethau casglu gwastraff;
- newidiadau i arferion rheoli gwastraff a thechnolegau newydd/amgen;
- lefelau cyfranogiad y cyhoedd mewn cynlluniau algylchu;
- amgyldhiadau na ragwelwyd (e.e. tywydd eithafol)
tud. 7 Atodiad 1 – Cydymffurfiad Awdurdod Lleol o gymharu â thargedau
Tabl 2. Performiad CLT ar gyfer 2016/17
<table>
<thead>
<tr>
<th>Awdurdod Lleol</th>
<th>Lwfans Cynllun Lwfansau Tirlenwi (tunneli) 2016/17</th>
<th>Gwastraff dinesig boidirradda dwy a aeth i safleoedd tirlenwi</th>
<th>% o'r Lwfans Cynllun Lwfansau Tirlenwi a ddefnyddiw yd yn 2016/17</th>
</tr>
</thead>
<tbody>
<tr>
<td>Blaenau Gwent</td>
<td>8,821</td>
<td>391</td>
<td>4.4%</td>
</tr>
<tr>
<td>Pen y Bont ar Ogwr</td>
<td>19,025</td>
<td>5,579</td>
<td>29.3%</td>
</tr>
<tr>
<td>Caerfili</td>
<td>23,119</td>
<td>3,115</td>
<td>13.5%</td>
</tr>
<tr>
<td>Caerdydd</td>
<td>39,660</td>
<td>1,356</td>
<td>3.4%</td>
</tr>
<tr>
<td>Carmarthenshire</td>
<td>20,997</td>
<td>2,388</td>
<td>11.4%</td>
</tr>
<tr>
<td>Caerdyddin</td>
<td>9,655</td>
<td>4,326</td>
<td>44.8%</td>
</tr>
<tr>
<td>Conwy</td>
<td>17,513</td>
<td>10,777</td>
<td>61.5%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Sir Ddinbych</td>
<td>11,094</td>
<td>844</td>
<td>7.6%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Stry Filau</td>
<td>20,927</td>
<td>90</td>
<td>0.5%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Gwynedd</td>
<td>17,896</td>
<td>14,959</td>
<td>83.6%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Yrws Mon</td>
<td>9,867</td>
<td>1,151</td>
<td>11.7%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Merthyr Tudful</td>
<td>7,621</td>
<td>612</td>
<td>8.0%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Sir Fynwy</td>
<td>11,378</td>
<td>146</td>
<td>1.3%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Castell-nedd Port Talbot</td>
<td>18,910</td>
<td>4,832</td>
<td>25.6%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Casnewydd</td>
<td>15,925</td>
<td>3,578</td>
<td>22.5%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Sir Benfro</td>
<td>16,178</td>
<td>5,057</td>
<td>31.3%</td>
</tr>
<tr style="background-color: lightgreen;">
<td>Powys</td>
<td>19,282</td>
<td>7,562</td>
<td>39.2%</td>
</tr><br/>
<tr style="background-color: lightgreen;">
<td>Rhorddda Cynon Taf<br>Aberthawe<br>Torfaen<br>Bre Morganwg<br>Weeceam<br>CYMRU<br></table>
<table style="width: 50%; display: inline-block; margin-right: 5%;">
<tbody><tr><th colspan="2">O dan 90% Rhwng 90-100% Dros 100%</th></tr><tr><th colspan="2"></th></tr><tr><th colspan="2">Mae Cyfoeth Naturiol Cymru yn cadw cofrestr o berforfiadau awdurddodau lleol yn erbyn y Cynllun Lwfansau Tirlenwi ers i'r cynllun gychwyn yn 2004. Gellir dod o hyd iddl yn:</th></tr><tr><th colspan="2">https://naturalresources.wales/guidance-and-advice/environmental-topics/waste-management/landfill-allocation-scheme/?lang=cy<br/></th></tr></tbody></table>
tud: 8 Ffigur 1. Maint y gwastraff trefol pydradwy a dirlenwyd o gymharu â'r lwfans ar gyfer awdurdodau Ileol Cymru 2016/17
<img>
A bar chart showing turnover figures for different Welsh local authorities.
The y-axis represents turnover in thousands of pounds (0 to 45000).
The x-axis lists Welsh local authorities: Blaenau Gwent, Pen y Bwlch ar Ogwr, Caerfili, Cardigan, Carmarthenshire, Caerfyrddin, Conwy, Sir Ddinbych, Sir y Fflint, Gwynedd, Ynys Mon, Merthyr Tudful, Sir Fynwy, Castell-nedd Port Talbot, Casnewydd, Sir Benfro, Powys, Rhondda Cynon Taf, Abertrave, Torfaen, Bro Morgannwg, Wrexham.
Legend:
- Green: Gwastraff dinesig bioddradda dwy a aeth i safleoedd tirlenwi
- Yellow: GDB a gladdwyd rhagor na'r Lwfans
- Orange: Landfilled dros y Lwfans
</img>
tud. 9 Atodiad 2 – Gwaith cyflwyno adroddiadau gan awdurddodau lleol
Caiff terfyniadau adrodd ar gyfer awdurddodau lleol a gweithredwrw syafleodd tirlenwi (gweler Tabl 3) eu hamlinellu yn rheoliadau'r Cynllun Lwfansau Tirlenwi. Rhaid i awdurddodau lleol a gweithredwrw syafleodd tirlenwi gyflwyno cyfnodion gwastraff trefol i Gyfoeth Naturiol Cymru® a lewn mis i ddiwedd y cyfnod yna.
<table>
<tr>
<td>Tabl 3. Canllawiau adrodd statudol y CLT</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Chwart er</td>
<td>Cyfnod</td>
<td>Canllawiau adrodd</td>
</tr>
<tr>
<td>1</td>
<td>Data o 1 Ebrili i 30 Mehefin</td>
<td>31 Gorffennaf</td>
</tr>
<tr>
<td>2</td>
<td>Data o 1 Gorffennaf i 30 Medi</td>
<td>31 Hydref</td>
</tr>
<tr>
<td>3</td>
<td>Data o 1 Hydref i 31 Rhagfyr</td>
<td>31 Ionawr</td>
</tr>
<tr>
<td>4</td>
<td>Data o 1 Ionawr i 31 Mawrth</td>
<td>30 Ebrill</td>
</tr>
</table>
Yn 2008-09, cynhyrchodd Cyfoeth Naturiol Cymru ganllawiau'r CLT ar adrodd a hysbysu, sy'n gosod amserlen fanylach ar gyfer awdurddodau lleol a gweithredwrw syafleodd tirlenwi er mwyn bodloni eu rhwymedgaeth dan reoliadau'r Cynllun Lwfansau Tirlenwi a ddarparu data cywir ac amserol.
Awdurddodau Lleol
Mae rheoliadau'r CLT yn ei gwneud hi'n ofynnol ar awdurddodau lleol i gyflwyno eu data gwastraff trefol i Gyfoeth Naturiol Cymru i gael eu dilysu, o lewn mis i ddiwedd y chwarter. Mae Figur 2 yn dangos graddfa cydymffurliaeth adroddiadau data awdurddodau lleol yn Nghymru yn ystod 2016/17.
Mae lefel yr adroddiadau prydlion yn 2016/17 ychydig yn waeth nag yn y flwyddyn llenorol. Roedd 15 awdurddod lleol yn parhau i adrodd yn brydlon ac yn gyson drwy gydol y flwyddyn (Gostyngiad o un o 2015/16).
Y prif resymau dros fod awdurddodau lleol yn adrodd ar ôl y dyddiad terfyn oedd:
- materion technegol;
- materion staffio ac adnoddau mewn awdurddodau lleol;
- oedi cyn i awdurddodau lleol dderbryn data gan contractwyr;
- yr amser ychwanelog a dreuliwyd yn cyrchu data ar gyfer gefynion adrodd eraill.
______________________________________________________________________
(^{8}) Dan reoliadau'r CLT, nodir mai 'Asiantaeth yr Amygylchedd' wy'r awdurddod monitiro ond, ngy Nghymru, fe'i weinyddywdy gan Asiantaeth yr Amygylchedd Cymru. Trwy Orpchwm Corff Adroddau Naturiol Cymru (Swyddogaethau) 2013, cafdod swyddogaethau ddaenganoledig Asiantaeth yr Amygylchedd yn trosglwyo ddwy gyfoeth Naturiol Cymru.
tud. 10 Ffigur 2. Cyfran yr awdurdodau lleol a adroddodd yn brydlon yn 2016/17 o gymharu â 2015/16
Mae Cyfoeth Naturiol Cymru yn adrodd i Lywodraeth Cymru ar gydymffurliaeth awdurdodau lleol â'r terfyniadau adrodd. Mae Tabl 4 ar y dudalen nesaf yn rhoi rhagor o wybodaeth ar brydlondeb adrodd awdurdodau lleol yn 2016/17.
Gweithredwyr safleoedd tirlenwi
Mae'n ofynnol ar weithredwyr safleoedd tirlenwi i adrodd faint o wastraff trefol a dderbynnir yn eu safleoedd, a hynny o fewn mis i ddiwedd y chwarter. Adroddwyd ar WasteDataFlow bod 46 safle tirlenwi yng Nghymru a Lloegr wedi'u nodi fel rhai sy'n derbyn gwastraff trefol gan awdurdodau lleol sy'n deillio o Gymru yn 2016/17 – 13 yng Nghymru a 33 yn Lloegr. Hefyd, adroddwyd ar wastraff a dirlenwyd dramor ar ôl iddo gael ei losgi yn WasteDataFlow. Mae cyfanswm y safleoedd tirlenwi a adroddwyd wedi gostwing o 48 i 46 yng Nghymru a Lloegr.
\<page_number>tud. 11\</page_number>
<img>
A bar chart showing data for three categories: % ar amser (left), % o fewn 7 diwrnod (middle), and % dros 7 diwrnod (right). The x-axis shows percentages from 0% to 100%. The y-axis shows categories.
Legend:
- Green bar: 2015/16
- Blue bar: 2016/17
</img>
Tabl 4. Cydymffurfiaeth â therfynau amser ar gyfer adrodd data WasteDataFlow, fesul awdurddod lleol
<table>
<thead>
<tr>
<td>Awdurdod Lleol</td>
<td>Ebr-Meh 2016</td>
<td>Gorff Medi 2016</td>
<td>Hyd-Rhagfyr 2016</td>
<td>Ion- Maw 2017</td>
</tr>
</thead>
<tbody>
<tr>
<td>Blaenau Gwent</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Pen-y-bont ar Ogwr</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Caerffili</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Caerdydd</td>
<td>O fewn 7 diwrnod</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Dros 7 diwrnod</td>
</tr>
<tr>
<td>Sir Gaerfyrddin</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Ceredigion</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Conwy</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Sir Ddinbych</td>
<td>O fewn 7 diwrnod</td>
<td>Ar amser</td>
<td>O fewn 7 diwrnod</td>
<td>O fewn 7 diwrnod</td>
</tr>
<tr>
<td>Sir y Fflint</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Gwynedd</td>
<td>O fewn 7 diwrnod</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>O fewn 7 diwrnod</td>
</tr>
<tr>
<td>Ynys Môn</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td>
</tr>
<tr>
<td>Merthyr Tudful</td>
<td>Ar amser</td>
<td>Ar amser</td>
<td>Ar amser</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></ td><br>Noder Gelir ymestyn terfynau amser yn sgil penwythnosau/gwyliau banc, materion technegol, neu os y cytunwyr gydag awdurddod am resymau esgusodol. Rhoddwyd estyniad o 1 wythnos hefyd i'r holl awdurddodau ar gyfer datganiaidau chwarter 3 (Hydref-Rhagfyr) i ganiatâu diweddaru data cwstiynuar' gwasaenaeth.</tr>
<table border="1">
<thead style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th>Allwedd<br/><br/></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">ar amser<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">o fewn 7 diwrnod<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">dros 7 diwrnod<br/><br/></table>
Noder Gelir ymestyn terfynau amser yn sgil penwythonosau/gwyliau banc, materion technegol, neu os y cytunwyr gydag awdurddod am resymau esgusodol. Rhoddwyd estyniad o 1 wythinos hefyd i'r holl awdurddodau ar gyfer datganiaidau chwarter 3 (Hydref-Rhagfyr) i ganiatâu diweddaru data cwstiynuar' gwasaenaeth.
Allwedd
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">ar amser<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">o fewn 7 diwrnod<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">dros 7 diwrnod<br/><br/></table>
Noder Gelir ymestyn terfynau amser yn sgil penwythonosau/gwyliau banc, materion technegol, neu os y cytunwyr gydag awdurddod am resymau esgusodol. Rhoddwyd estyniad o 1 wythinos hefyd i'r holl awdurddodau ar gyfer datganiaidau chwarter 3 (Hydref-Rhagfyr) i ganiatâu diweddaru data cwstiynuar' gwasaenaeth.
Allwedd
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">ar amser<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">o fewn 7 diwrnod<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">dros 7 diwrnod<br/><br/></table>
Noder Gelir ymestyn terfynau amser yn sgil penwythonosau/gwyliau banc, materion technegol, neu os y cytunwyr gydag awdurddod am resymau esgusodol. Rhoddwyd estyniad o 1 wythinos hefyd i'r holl awdurddodau ar gyfer datganiaidau chwarter 3 (Hydref-Rhagfyr) i ganiatâu diweddaru data cwstiynuar' gwasaenaeth.
Allwedd
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">ar amser<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">o fewn 7 diwrnod<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">dros 7 diwrnod<br/><br/></table>
Noder Gelir ymestyn terfynau amser yn sgil penwythonosau/gwyliau banc, materion technegol, neu os y cytunwyr gydag awdurddod am resymau esgusodol. Rhoddwyd estyniad o 1 wythinos hefyd i'r holl awdurddodau ar gyfer datganiaidau chwarter 3 (Hydref-Rhagfyr) i ganiatâu diweddaru data cwstiynuar' gwasaenaeth.
Allwedd
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">ar amser<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">o fewn 7 diwrnod<br/><br/></table>
<table border="1">
<tbody style="background-color: #e6e6e6;">
<tr style="background-color: #e6e6e6;">
<th style="text-align: center;">dros 7 diwrnod<br/><br/></table>
Noder Gelir ymestyn terfynau amser yn sgil penwythonosau/gwyliau banc, materion technegol, neu os y cytunwyr gydag awdurddod am resymau esgusodol. Rhoddwyd estyniad o 1 wythinos hefyd i'r holl awdurddodau ar gyfer datganiaidau chwarter 3 (Hydref-Rhagfyr) i ganiatâu diweddaru data cwstiynuar' gwasaenaeth.
Allwedd
<table border="1">
<tbody style="background-color: #ffffff;">
<tr style="background-color: #ffffff;">
<th style="">ar amser<br/><br/></table>
<table border="" cellspacing="" cellpadding="" width="">
<tbody align="">
<tr align="">
<TD align="">o fewn 7 diwrnod<br/><br/></TD> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align=""> </TD> <TD align="">& & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & &
<TR valign=""><TH ALIGN=""><FONT SIZE="-2">ar amse
<BR/>
<BR/>
<BR/>
<BR/>
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<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
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<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
<BR/>
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<BR/>...
Tud. 12
Atodiad 3 – Map sy'n Crynhoi Lefelau Cydymffurfio Awdurdodau Lleol
<table>
<tr>
<td>Sir y Fflint</td>
<td>Ynys Mon</td>
</tr>
<tr>
<td>Conwy</td>
<td>Sir Ddinbych</td>
</tr>
<tr>
<td>Gwynedd</td>
<td>Wrecsam</td>
</tr>
<tr>
<td>Ceredigion</td>
<td>Powys</td>
</tr>
<tr>
<td>Sir Benfro</td>
<td>Sir Gaerfyrddin</td>
</tr>
<tr>
<td>Abertawe</td>
<td>Merthyr Tydfil</td>
</tr>
<tr>
<td>Castell-nedd Port Talbot</td>
<td>Blaenau Gwent</td>
</tr>
<tr>
<td>Rhondda Cynon Taf</td>
<td>Torfaen</td>
</tr>
<tr>
<td>Pen y Bont ar Ogwr</td>
<td>Caerdydd Bro Morgannwg</td>
</tr>
<tr>
<td></td>
<td>Casnewydd</td>
</tr>
</table>
% o'r Lwfans 2016/17
<table>
<thead>
<tr>
<th></th>
<th>% o'r Lwfans 2016/17</th>
</tr>
</thead>
<tbody>
<tr style="background-color: #808080;">
<td></td> <!-- Green -->
<td>0% - 60%</td> <!-- Green -->
</tr>
<tr style="background-color: #808080;">
<td></td> <!-- Green -->
<td>60% - 75%</td> <!-- Green -->
</tr>
<tr style="background-color: #FFFF00;">
<td></td> <!-- Yellow -->
<td>75% - 90%</td> <!-- Yellow -->
</tr>
<tr style="background-color: #FFA500;">
<td></td> <!-- Orange -->
<td>90% - 100%</td> <!-- Orange -->
</tr>
<tr style="background-color: #FF0000;">
<td></td> <!-- Red -->
<td>> 100%</td> <!-- Red -->
</tr>
</tbody>
</table>
tud. 13 **Gwybodaeth Ansawdd Allwedol**
1. Mae gan Gyfoeth Naturiol Cymru chwe wythnos i ddilysu'r data. Ynghlwm wrth ddilysu, mae'r drefn o wirio bod yr holl gwestiynau perthnasol ynglyn â WasteDataFlow wedi cael eu cwbhlau gan yr awdurddodau lleol, a bod unrhyw wahaniaeth o ran cyfrifladau rhwng y mewnbw'n a'r allbw'n gofnodwyd yn cael ei nodi. Hysbysir yr awdurddod lleol perthnasol o unrhyw anghysonderau, a chymerir camau f'w cywiro. Ar ôl ddilysu, mae Cyfoeth Naturiol Cymru hefyd yn golyn i awdurddodau lleol ddarparu tystiolaeth ynglyn â'u data gwastraff, sy'n broses barhau drwy gydol y flwyddyn gyffinllun.
2. Gall fod rhai anghysonderau o ran mesur cyfanwsm y gwastraff gan fod y gwastraff yn cael ei bwyso wrth iddo gael ei gasgliu, ac yna eto pan gaiff ei anfon i'w drin. Yn ogystal, gall fod pwytsanu cael ei golli drwy brosesau trin amrywiol. Mae Cyfoeth Naturiol Cymru yn diliwu cofnodion yr awdurddodau lleol ac yn ei gwnneud hi'n olynnol nad yw'r gwahaniaeth rhwng y swm a gesglir a'r swm a anforin i gael ei drin yn fwy na 10% mewn unhwyr chwarter, oni bai bol esboniad dilys yn gallu cael ei roi. Mae Cyfoeth Naturiol Cymru hefyd wedi rhoi rhagor â bwystaies ar awdurddodau i ddarparu mwy o dystiolaeth mewn perthynas â'u hystadegau gwastraff ers 2012-13.
3. Mae WasteDataFlow yn parhau i wella a datblygu, a gall hyn gael effaith ar y modd caiff data eu cofnodu. Mae hefyd yn cyflwyno adroddiadau data newydd ar sail anghenion data newydd. Gall rhai newidiadu fod yn gymhleth, gan greu effeithiau wrth adrodd na sylweddlodwyd yn wreiddiol. Caiff yr holl newidiadau i'r system eu monitro'n ofalus ar gyfer gwahaniaethau rhwng y data a gofnodr a'r hyn a adroddir. À bod gwahaniaethau'n digwydd, caiff system WasteDataFlow ei diwygio, a bydd unrhwyddata a gyhoeddwdy yn flaenorol yn cael eu hadolygu a'u hamlygu yn unol â hynn.
4. Mae cywirdeb y data a adroddir i WasteDataFlow yn llwr ddibynnol ar fesuriadau, rheolaeth data, ac adroddiadau awdurddodau lleol a gweithredwr y gwastraff. Er bod Cyfoeth Naturiol Cymru yn diliwu yn unol â'r rheoliadau, mae diliwu WasteDataFlow a gwirio mewn perthynas à data gwastraff eraili yn gyfnygedig yn sgil cywirdeb yr adroddiadau hyn.
\<page_number>tud. 14\</page_number>
# Geirfa
## Pydradwy
Yn gallu cael ei ddadelfennu gan blanhigion ac anifeiliaid.
**Gwastraff Trefol Pydradwy (GTP)** Y rhan o wastraff trefol solet sy'n gallu cael ei ddadelfennu gan blanhigion ac anifeiliaid. Mae gwastraff trefol pydradwy yn cynnwys papur a charden, gwastraff bwyd a gardd, a chyfran o fathau erailu o wastraff, megis tecstilau.
**Dargyfeirio (rhag cael ei dirlenwi)** Term sy'n cyfleiro at osgoi anton gwastraff i safleoedd tirlenwi pan fydd modd ei anfon i gael ei drin yn amgen mewn ffordd sy'n well i'r amgylchedd. Rhoddwr amlinelliad o'r hierarchaeth gwastraff yn Erthygl 4 o'r Fframwaith Gwastraff diwygiedig (Cyfarwyddeb 2008/98(EC)). Rhydd hyn flænoriaeth uchel i atal gwastraff yn y lle cyntaf. Pan grër gwastraff, mae'n rhoi blenioriaeth i'w baratoi ar gyfer ei aildefnyddio, yna ailgylchu, yna adfer, ac yn olaf un, gwanedu (e.e. tirlenwi).
**Nwy tŷ gwyrdr** Term a roddir i nwyny cyfansawdwd yn yr atmosffer sy'n adlewyrchu gwres yn ôl i'r ddaear yn hytrach na'i adeilad i ddiann y'n gefod. Mae sawl nwy ynghylwm wrth y broses, gan gynnws carbon deucosid (CO$\_2$), methan (CH$\_4$), ocid nitraidd (N$\_2$O), osôn (O$\_3$), anwedd dwr (H$\_2$O), a rhai o'r cloffororocarbonw (CFCs).
**Llosgi** Trin gwastraff â gwres mewn dull a reolir, nail llai ar mwyn lleihau ei faint neu ei natur wenwynig. Geliri adfer ynni o losgi drwy ddefnyddio gwerth cynesol y gwastraff i gynhyrchu gwres a/neu bŵer.
**Cynllun Lwfansau Tirlenwi (CLT)** Pwrpas y Cynllun Lwfansau Tirlenwi yw siciahau nad yw gwastraff trefol pydradwy yn cael ei anton i safleoedd tirlenwi. Mae Llywodraeth Cymru yn gosod terfynau statudol ar faint o wastraff trefol pydradwy y gall awdurddodau lleol yn Nghymru ei anfon i safleoedd tirlenwi. Gall Llywodraeth Cymru roi cosb anriannol i awdurddodau lleol Cymru am fynd y tu hwnt i'w lwfansau ac am fethu â chydymfurffio â gofnion adrodd.
Yn rhinwedd ei swyddogaeth fel awdurddod monito'r cynllun, maes Cyfoeth Naturiol Cymru yn dilynu cofnodion gwastraff a gyflymwydyd gan awdurddodau lleol Cymru ac yn pennu faint o wastraff trefol pydradwy gaiff ei anton gan bob awdurddau lleol i'w dirlenwi.
**Safleoedd tirlenwi** Unrhwy safie lle caiff gwastraff ei osod. Mae safleoedd tirlenwi wedi'u gosod yn aml mewn hen bylla fmyngloddio neu chwareli. Mewn ardaloedd lle nad oes fawr ohonynt
\<page_number>tud. 15\</page_number> neu lle nad oes gwagle parod, weithiau fe godir y tir a gosodir gwastraff uwchben y ddaear, a chaiff y tirwedd ei ailfurfio.
**Rhestr Wastraff (Catalog Gwastraff Ewrop)**
Mae'n ddull cyffredin o ddosbarthu nodweddon gwastraff at amrywiaeth eang o ddibenion, megis dosbarthu gwastraff peryglus. Mae pennu cadaw gwastraff yn cael effaith fawr ar gludo gwastraff, ar drywddedau Gosod (sy'n cael eu rhoi fel arfer at ddiben prosese codau gwastraff penodol), ar benderfyniadau ynghylch potensial gwastraff i gael ei ailgylchu, neu ar ystadegau gwastraff.
**Gwastraff trefol awdurddau Ileol**
Mae'n cynnwys gwastraff cartrefi a gwastraff nad yw'n ymwneud â chartrefi sy'n cael ei gasgliu a'i awdurddau lleol. Mae'n cynnwys casgladau arferol o gartrrefi, casglidau ailgylchu penodol, casglidau arbenig ar gyfer eitemau mawr, gwastraff a dderbynnir yn safleoedd amwynder dinesig, a gwastraff a gesglir o ffynonellau nad ydynt yn ymwneud â chartrefi.
**Targedau adfer awdurddau Ileol**
Gosodwyd targetedau adfer awdurddau lleol gan Lywodraeth Cymru dan Fesur Gwastraff (Cymru) 2010, a'u bwriad yw hybu rhagor o ailgylchu ac i wireddu manteision ehangach cysylltielig mewn perthynas â chynaliadwydd.
**Dull o gydbwyso mlys**
Caif y flormiwlfa cydbwyso mês ei weithredu'n chwarterol er mwyn cyfrifo faint o gynnwys pydradwy sydd ngwastraff trefol pob awdurddau lleol. Mae Llywodraeth Cymru wedi dynodi bod 61% o wastraff trefol awdurddodau lleol Cymru yn bydradwy. Mae'r flormiwl'a'n defnyddio'r data a adroddydd i WasteDataFlow i addasu'r ganran hon ar sail pydradwydedd y gwastraff a ddargyfeiriwyd i gael ei ailgylchu, ei aildefnyddio, a'i gompostio. Defnyddir y ganran diwygiwedig i gyfrifo faint o gynnwys pydradwy sydd mewn gwastraff a dirlenwir.
**WasteDataFlow (WDF)**
Ers 2004-05, defnyddir system adrodd ar-lein o'r enw WasteDataFlow er mwyn casglu cofnodion gwastraff awdurddodau lleol o ran symiau a mathau o wastraff, a sut y gwaredir â nhw (www.wastedataflow.org). Yng Nghymru, caiff hon ei rheoli gan Gyfoeth Naturiol Cymru.
\<page_number>tud. 16\</page_number>
|
WELSH
|
3527-pdf
|
<img>
Insurance company
Insurance trade(s)
Long term business
Life Assurance Business
General Insurance Business
PHI
Non-BLAGAB Taxed on trading profits
BLAGAB Taxed on I minus E profit
Long term business fixed capital
Pension New Protection CTFB ISA Business Overseas Life assurance business OLAB Life reinsurance business Immediate needs Annuity business </img>
<table>
<tr>
<td>General<br>Insurance<br>Business</td>
<td>PHI</td>
<td>Pension<br>New Protection<br>CTFB<br>ISA Business<br>Overseas Life assurance business OLAB<br>Life reinsurance business<br>Immediate needs Annuity business</td>
<td>BLAGAB<br>Taxed on<br>I minus E profit</td>
</tr>
</table>
|
ENGLISH
|
3605-pdf
|
<img>Local Government Association logo</img>
# Efficiency opportunities through health and social care integration
## Delivering more sustainable health and care
Final report | June 2016
# Foreword
Citizens have a right to good health and to live independently for as long as they are able. Unfortunately, too often, the care that some of us receive is poorly joined up, frustrating and we have little say or control over it.
The Local Government Association (LGA) has long fought for transformation of the health and care system to one that is founded on the principles of keeping people healthy, independent and in control of their care. We want a system that is more personalised, more responsive – with the right decisions being made in collaboration with service users and carers – and seamlessly between the various organisations providing the care. We want the system to invest more money in preventing ill health and debilitating conditions, through services that are delivered at or nearer to home.
Councillors across the country are leading the debate with partner organisations to shape a future system of health and care based on shared local priorities to achieve the best outcomes for people with less money. The significant progress that local areas have made to date in developing integrated models of care has demonstrated that there is no universal solution to the challenge. However there are common elements that constitute good care, many of which are driven by strong personal relationships and a shared will to make a difference. We have an opportunity to share learning in the UK and further afield, to further develop our understanding of what a more sustainable system might look like in the future.
To help inform this debate the LGA has been working with Newton Europe and a number of councils and health partners to better understand how people are managed within the current system, in order to identify opportunities for delivering better outcomes at less cost. We published our interim findings from this work at the end of last year. We now share with you our final report, which sets out the evidence for improvement in providing more integrated care and critically, the key factors required in the approach to making that change successful locally.
We hope that you find the report useful.
**Councillor David Simmonds** Chairman, LGA Improvement and Innovation Board
\<page_number>2\</page_number> Efficiency opportunities through health and social care integration
# Contents
Headline messages 4 Introduction and approach 6 1.Improved outcomes and efficiency savings 9 2.Variation in front line decision-making 11 3. Avoidance of admissions to acute hospitals 14 4. Discharge planning to maximise independence 16 5.Deploying a better skill mix in teams 17 6. The approach taken to change 18 Conclusions 20 Appendices 21 Appendix 1 - Evidence of impact 22
a. Delivering a step change in residential placements in Kent, arising from the acute hospital 22 b. Reducing acute admissions through integrated front door processes in Pennine Lancashire 29 c. Reducing falls as a key preventative activity to reduce demand to both health and social care in Greenwich 32 d. Creating clarity of accountability for discharge in Swindon 35 e. Integrating the procurement of Continuing Health Care (CHC) and local authority beds in Sunderland 36 Appendix 2 - Further thoughts for leaders to progress change in their local areas 37
Efficiency opportunities through health and social care integration \<page_number>3\</page_number>
# Headline messages
1. By focusing on the best care pathway for patients or service users', significant benefits can be realised in terms of improved outcomes, greater quality of services and financial savings. **Efficiency savings of 7 to 10 per cent** of the budget areas assessed in this project could be realised through approaches to health and care that are better integrated. This equates to efficiency savings of over £1 billion nationally across the health and care system.
2. **Variation in front line decision-making** provides the greatest opportunities to improve efficiency. Health and social care practitioners reviewing 2,265 case notes through this study identified a significant lack of consistency in decision-making, and estimated that up to 45 per cent of pathway decisions could be improved. In almost every case there was evidence of over-provision care, potentially reducing the service user's independence. It was found that robust, multi-disciplinary reviews, at key decision points, can have a significant impact on consistency of decision-making, whilst requiring only a relatively small investment in terms of resource.
3. The largest single area in which resource can be saved is through **avoidance of admissions to acute hospitals**. In over a quarter (26 per cent) of the cases reviewed where people had been admitted to an acute hospital, there had been missed opportunities to make interventions that would have avoided the need for the admission.
4. **Discharge planning to maximise independence** would save money and improve outcomes. For nearly a quarter of people (24 per cent¹) who were discharged from hospital with a care package, a preferable pathway was identifiable that could have delivered better outcomes at lower cost. Given that a significant subset of these pathways result in costly long-term residential placements this is of particular significance. Practitioners taking part in the study estimated that 59 per cent² of long-term residential placements resulting from an acute hospital admission could be delayed or avoided.
The role of preventative services is key to any future model of health and care, leading to a reduced number of both acute and social care admissions. An estimated 25 per cent to 40 per cent of local authority service users would have benefited from preventative services, which they did not receive.
______________________________________________________________________
1 As defined by the multi-disciplinary review teams to be appropriate and most likely to result in independent outcomes 2 As defined by our approach, this work has not looked at all of health and social care spend. Reported savings of 7 to 10 per cent across the budgets looked at would translate to 1 to 2.5 per cent of total acute, community and social care spend. 3 Defined as helping citizens regain or learn new skills to live their everyday lives and stay within their communities 4 24 per cent is defined as total opportunity identified. In the financial modelling it is assumed that half of this opportunity would be realised either through an improved programme or through other means. 5 In the financial modelling one third of the figure is assumed as realisable
\<page_number>4\</page_number> Efficiency opportunities through health and social care integration 5. **Deploying a better skill mix in teams**, particularly within community services, would help to maximise resources. There is scope to develop a more effective mix of practitioners – clinicians and front line care workers – to free up community nurses, thereby making better use of the resources available.
6. It was found that the most important factor in realising these opportunities is not the design of the specific operational solutions. Rather, it is the approach taken to change, characterised by prioritised, evidence-based, locally developed solutions.
**Tackling Variation: The Evidence To Support Integration**
<table>
<tr>
<td><strong>1</strong> Opportunities</td>
<td><img>A person with a heart symbol.</img></td>
<td><strong>2</strong> Causes</td>
<td><img>A question mark over a checkmark.</img></td>
<td><strong>3</strong> Priorities</td>
<td><img>A calendar icon.</img></td>
</tr>
<tr>
<td colspan="2">Improve patient outcomes and quality of services</td>
<td colspan="2">Opportunities exist primarily due to variations in front line decision making.</td>
<td colspan="2">Avoidance of admissions to acute hospitals</td>
</tr>
<tr>
<td colspan="2">Realise efficiency savings of over £1 billion nationally through more integrated health and social care</td>
<td colspan="2">Up to 45% of pathway decisions could be improved in more than half cases, alternative options already existed...</td>
<td colspan="2">Discharge planning to maximise independence</td>
</tr>
<tr>
<td colspan="2"></td>
<td colspan="2">and in almost every case where alternative pathways were identified, they were at a lower level of care</td>
<td colspan="2"></td>
</tr>
<tr>
<td colspan="6"><strong>4</strong> Realised through Model for Change</td>
</tr>
</table>
Efficiency opportunities through health and social care integration \<page_number>5\</page_number>
# Introduction and approach
## The case for change
In 2013, the LGA, as part of the Integrated Care and Support Collaborative commissioned National Voices® to develop a definition of integrated care:
“My care is planned with people who work together to understand me and my carer(s), put me in control, and to coordinate and deliver services to achieve my best outcomes.”
It is recognised by key partners in health and social care that the current system does not do enough to meet these basic requirements. As well as offering poor user experience and outcomes, poor integration between health and social care is judged to result in services that are inefficient and offer poor value for money.
Care that is better integrated is a priority for most health and care partners, driven by increasing demand, greater complexity of needs and the drive to develop a more financially sustainable model for the future. Over the last few years there have been a range of government policies and national initiatives to promote integrated care. The most significant of these have been the Care Act, Integrated Care Pioneers, the Better Care Fund, the Five Year Forward View, devolution and Vanguards. Local areas have made progress in developing integrated models of care, frequently based on pooled budgets, multi-disciplinary teams, integrated commissioning or the development of new organisations providing integrated services.
6 National Voices is a coalition of social care and health charities, to provide a voice for the voluntary sector at the national level
A number of insights and lessons have emerged from these initiatives, the more recent reports coming from the Department of Health (DH) Integrated Care and Support Pioneers’ Programme® and the LGAs ‘The Journey to Integration’. Whilst there is now evidence to show that greater integration and personalisation improves user experience and outcomes, there remains little evidence to demonstrate how financial savings will be delivered.
## Our approach
In order to address this lack of evidence, the LGA has been working with Newton, councils and partners in five areas to undertake a robust assessment of the efficiency opportunities of integration across the health and social care system, to contribute to the developing understanding of what a truly sustainable model for health and care might look like and how this can be achieved.
## Diagnostic assessment
The five geographical areas were identified to represent a mixture of size, location and urban/rural environments. They are Kent, Pennine Lancashire, Greenwich, Swindon and Sunderland. Good practice examples, addressing different opportunities, have been reflected from each of the areas studied. In four of the participating areas Newton undertook a short, intense diagnostic exercise. This involved working alongside acute
7 Early evaluation of the Integrated Care and Support Pioneers Programme – Policy Innovation Research Unit, 2016-17 8 The Journey to integration, learning from seven leading localities – Local Government Association, April 2016
\<page_number>6\</page_number> Efficiency opportunities through health and social care integration hospitals, district nursing providers, adult social care services and clinical commissioning groups (CCGs), as well as consulting with primary care and the voluntary sector. The fifth area, Sunderland, was covered through an evidence review and workshop to share and understand similarities with the other four areas and to determine applicable best practice examples.
For the diagnostic exercise, a detailed analysis of the last two years' attendance and admission data was undertaken. In each area, between 700 and 750 anonymised sets of case notes were examined. Local workshop sessions were held with health and social care practitioners to determine if the best care pathway had been followed for the service user. If the pathway was not thought to result in the optimal outcome, an alternative, more appropriate approach was identified. The practitioners involved in the exercise comprised:
- general practitioners (GPs)
- district nurses
- social workers
- occupational therapists
- discharge coordinators
- acute nurses (A&E, medical and discharge)
- geriatricians
- A&E consultants
- integrated discharge personne
- third sector representatives.
All judgements made on the selected care pathways and opportunities for improvement have been made by local practitioners rather than by either Newton or the LGA.
The work focused on the care pathway decisions made within the seven questions below:
1. Are those patients attending A&E doing so for appropriate conditions and are they being admitted to hospital beds from A&E appropriately? Could we have identified and prevented those needs earlier?
2. Could patients in non-elective hospital beds be treated outside of hospital?
3. At the point of non-elective hospital discharge, are we selecting the correct pathway for patients?
4. At the point of intake to the local authority, are we selecting the correct pathways for service users?
5. At the point of intake to community nursing, are we selecting the appropriate pathway for patients?
6. Is there an opportunity to better coordinate services for patients/service users receiving both community nursing and social care provision?
7. How does procurement by local authorities compare to that undertaken by CCGs?
These questions have been applied to the 18 and over age group and are represented in the diagram below.
**Figure 1 - Model of the diagnostic exercise undertaken in each area**
<img>A diagram showing a flowchart of healthcare pathways.</img>
DEMAND FROM THE PUBLIC
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ADULT SOCIAL CASE Throughout the work, local practitioners identified potential pathway improvements that should have been made, following the structure below:
- What was the level of need of the service user?
- What alternatives could ideally have been provided to service users?
- Why was this not provided?
- What are the financial and service user implications of the alternative approaches?
- How likely is it that this change could be achieved?
A flow model was then developed to summarise the findings, providing a prediction of the service user and cost flow changes in the system.
**Scope of work**
The efficiency of delivery of the individual services (improvement in unit cost that could be achieved by doing the same volume of work in a different manner) lies outside the scope of this work. Based on Newton’s delivery experience outside of this project, this efficiency is typically worth 5 to 15 per cent of the direct budget studied, in addition to any other opportunities for efficiency improvement identified within this work.
This work did not look at the field of mental health specifically. Whilst a number of preventative opportunities were investigated, the work did not examine the full impact of public health and social determinants of health (such as being in work, loneliness in old age or obesity) on system demand. These areas offer further potential opportunities for efficiency improvement.
The budget areas assessed in this project covered the non-elective adult acute pathway\\textsuperscript{9}, which accounted for 11 to 19 per cent of the total health and social care budget for the participating areas.
\<page_number>8\</page_number> Efficiency opportunities through health and social care integration
\\textsuperscript{9} Non-elective adults acute pathway spend reviewed: over 18’s CCG, acute, community health and social care (but excluded mental health)
# 1. Improved outcomes and efficiency savings
A central aim of this work was to answer the question: “Can integration lead to savings, and if so where might these savings come from?”
Findings from this work confirm that by focusing on the best care pathway for patients/service users, significant benefits can be realised for both users and the system. Evidence suggests that savings of 7 to 10 per cent¹⁰ of the budget areas assessed in this project could be realised, equating to over £1 billion across the health and care system nationally. In the main, this would be achieved by shifting resources to support people living more independently than they do currently.
While significant, this figure should be considered within the context of the national trends in increasing complexity of need and rising demand. For the NHS alone, without efficiency improvements, the NHS Five Year Forward View forecasts a £30 billion cost pressure by 2020/21¹¹. In order to meet the challenge of increasing complexity of need, acute systems will need to provide more intensive support where needed and be released from those interventions which can be delivered more effectively elsewhere. Simultaneously however, councils have faced a 40 per cent reduction, in real terms, to their core government grant. In adult social care, funding reductions and demographic pressures arising from an ageing population have resulted in a £5 billion funding gap¹².
Given this context, it is expected that the majority of efficiency opportunities will be used to absorb and manage demand growth.
In order to achieve many of the savings identified, it is necessary to invest funds elsewhere in the system and move resources between different parts of the system. The inability to move funding to the appropriate settings was a major obstacle to change observed during this project. The overall trend required to realise these opportunities is to move funds from acute to community and social settings. For illustrative purposes, a summary of these funding moves is shown in Figure 2 below.
These figures are presented for a health and social care system with a combined budget¹³ of £1 billion (the average size of the areas reviewed), with a reviewed non-elective adult acute pathway of £133 million. Whilst they are illustrative of the average cost movements across the areas, the specifics will vary for each locality.
This example shows opportunity for £12.5 million of net system savings; £11.9 million of these are derived from reducing demand on (and therefore costs for) the acute sector. The main areas for re-investment are:
<table>
<tr>
<td>Adult social care: health and wellbeing: A shared commitment, 2015 Spending Review submission.</td>
<td>www.local.gov.uk/publications</td>
</tr>
</table>
The figure of £1 billion is comprised of adult and social care services provided by local authorities. It does not include primary care spend, specialist commissioning or wider council services. The total UK spend in this category is ~£100 billion
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\<page_number>9\</page_number> Efficiency opportunities through health and social care integration
- community health: £2.2 million
- integrated teams (a combination of GPs, community nurses, social workers and therapists): £500,000
- the local authority: £700,000, primarily through short term beds and reablement services, coupled with the integrated therapeutic care above. Much of the community health investment would be offset by savings (£1.7 million), whilst the local authority investment would be more than offset by the savings in this area (£1.9 million).
**Figure 2 - Summary of savings opportunities and average cost movements**
<table>
<thead>
<tr>
<th>Location</th>
<th>Gross Savings</th>
<th>Re-invest required</th>
<th>Net saving/cost movement</th>
<th>Main driver of savings</th>
<th>Main driver(s) of investment</th>
</tr>
</thead>
<tbody>
<tr>
<td>Acute</td>
<td>£11.9m</td>
<td>£0.0m</td>
<td>£11.9m</td>
<td>Acute admission reduction<br>Alternative locations of care</td>
<td>N/A</td>
</tr>
<tr>
<td>CCG/Other</td>
<td>£0.8m</td>
<td>£0.2m</td>
<td>£0.6m</td>
<td>CHC commissioning</td>
<td>Rapid access units / urgent care centres</td>
</tr>
<tr>
<td>Community</td>
<td>£1.7m</td>
<td>£2.2m</td>
<td>-£0.5m</td>
<td>Nursing skill mix optimisation</td>
<td>Additional home based clinical services<br>Step-down intermediate beds</td>
</tr>
<tr>
<td>GP</td>
<td>£0.0m</td>
<td>£0.3m</td>
<td>-£0.3m</td>
<td>N/A</td>
<td>Additional activity</td>
</tr>
<tr>
<td>Integrated teams</td>
<td>£0.0m</td>
<td>£0.5m</td>
<td>-£0.5m</td>
<td>N/A</td>
<td>Short term nursing / care / GP support</td>
</tr>
<tr>
<td>Local authority</td>
<td>£1.9m</td>
<td>£0.7m</td>
<td>£1.2m</td>
<td>Reduced residential spend</td>
<td>Short term beds Re-ablement</td>
</tr>
<tr>
<td><strong>Total</strong></td>
<td><strong>£16.3m</strong></td>
<td><strong>£3.8m</strong></td>
<td><strong>£12.5m</strong></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
\<page_number>10 Efficiency opportunities through health and social care integration\</page_number>
# 2. Variation in front line decision-making
Opportunities identified exist primarily due to variation in front line decision-making. A recent review by Lord Carter on unwarranted variation in English hospitals¹ identified efficiency opportunities of £5 billion within acute hospitals. Whilst the LGAs work focuses on the decision points at the main interfaces between providers along the care pathway, many of the findings from the LGA project complement and support Lord Carter’s work. Both Lord Carter’s review and the LGA work highlight the opportunity and challenge in tackling unwarranted variation. The LGA work also highlights an important factor related to Lord Carter’s findings on discharge, it is crucial that these be targeted in a manner that aims to maximise independence.
A key factor identified by practitioners reviewing case notes, within each of the participating areas in this study, was a significant lack of consistency in decision-making. They estimated that up to 45 per cent of pathway decisions could be improved. There are two major drivers contributing to this:
- How the system responds to risk. There are penalties and ramifications for missed diagnoses, but no penalties for widespread over-provision of care. Over-provision of care may lead to the person becoming overly dependent on the system, which in turn may damage the long term outcome and significantly increase the long-term costs.
‘Which single point of access? We’ve got so many’
GP
“You are always worried about missing something and feel pressure to prevent under-provision of care. Going against this can feel like you are taking a risk on your own. We need a counterbalance to review and develop practitioners so that they are also driving maximum service user independence.”
Social worker
- How decisions are made at the key decision points. There are many factors contributing to this, including:
- professionals being unaware of the full range of services available to support patients
- decisions not always being taken by the most appropriate practitioner
- cultural differences between organisations, individuals and roles
- undue influence on the part of the patient, family or carer such that the best pathway is not taken.
Furthermore, as new services or initiatives are added, many systems have built up an increasingly complex ‘menu of services’ that can be provided in the local area, making successful navigation even more challenging.
14 https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/498239/Operational_productivity_A.pdf
Efficiency opportunities through health and social care integration \<page_number>11\</page_number> The case studies¹⁵ in this report show that effective, group based multi-disciplinary team decision-making can have a key role in mitigating these factors, leading to improved outcomes, with a relatively low resource requirement. A separate study has shown that the wider the range of skills of the multi-disciplinary team, the better the outcome is likely to be for the patient.¹⁶ This study suggested that the team is likely to perform at its best where each person’s contribution is valued and an element of peer challenge is designed into the culture of the team. When leaders consider the multi-disciplinary skill sets of their teams it will be important to ensure the accountability of decision-making is not lost.
“Wouldn’t it be beneficial to have a quality assurance type step, similar to the way we’ve been looking at these cases, in the discharge process? Someone to ensure that all possible options had been objectively considered?”
Consultant physician
Figure 3 on page 13 summarises the numbers of case notes reviewed and pathway decisions, which the local practitioners believed could have been improved. In almost every case where an alternative pathway was identified for a service user, this alternative would have been at a lower level of care. Furthermore, the alternative pathways identified were already in existence (to some extent) in more than 90 per cent of instances, although they were not always commissioned at the correct level. This indicates that in the short term there is less need to develop new services, but rather a need to make better use of existing services or agree a new level for a specific service.
This requires accurate measurement of and responses to flows and outcomes through the different stages of the system. For example, in one area, referral patterns to reablement¹⁷ were examined across two neighbouring localities. In one locality the team referred 10 per cent of individuals to reablement while in the other, 70 per cent were referred. When case notes were exchanged, each team continued to refer to reablement at the same levels. The decision to refer, rather than being based specifically on the individual’s needs, appears to be driven by the culture, practices and habits of the team.
Reducing variability of decision-making encompasses more than simply implementing new protocols and standards. Creating the culture and mechanisms for practitioners to develop and challenge each other’s decisions, through peer support, reflective practice and management reporting, for example, has been found to lead to more robust and less variable decision-making. These approaches can also support practitioners to move to a less risk-averse approach, ensuring that all options are considered to maximise the service user’s independence. This is explored further in the report.
The issues described thus far in terms of decision-making refer primarily to clinicians and front line practitioners. There is also a need, however, to ensure that patients and carers are better informed about the options available to them, to understand and contribute more effectively to decisions about the best care pathway to address their needs. This is critically important in getting the decision right. For example, this study has revealed that 33 to 43 per cent of self-referred A&E attendances were inappropriate, and in 74 per cent of these attendances the service user had not considered other options available to them. Case reviews at discharge, both from the acute hospitals and from community.
15 See Appendix 1, case study b: Delivering a step change in residential placements in Kent arising from the acute hospital and its transition from acute admission through integrated front door processes in Pennine Lancashire 16 Enhancing the efficiency and effectiveness of community based services for people with mental illness: A cross sectional study in North East England Narancio-Braunlap; Horsup; et al NHIR report 2012 17 Reablement has been defined as ‘services for people with poor physical or mental health to help them accommodate their disability by learning or re-learning the skills necessary for daily living’ nursing also highlighted examples of setting incorrect expectations for patients early in their pathway, with this having a negative influence on the subsequent decision about their care. Clear accountability and clarity of roles in Swindon shows how this effect can be tackled, reducing incorrect onward referrals at discharge by over 30 per cent.¹⁸
**Figure 3 – Evidence arising from the review of case notes and pathway decisions**
<table>
<tr>
<td>Area of focus</td>
<td>Case notes reviewed</td>
<td>Patient pathways which could have been improved</td>
<td>% Pathways which could be improved</td>
<td>Top 20 pathways proposed</td>
<td>Most prevalent reason for variation (other than cost)</td>
<td>Cost savings identified % of typical pathway (£1m £8.5C speed)</td>
<td>Savings for typical pathway (£1m £8.5C speed)</td>
</tr>
<tr>
<td>Q1 - A&E attendances</td>
<td>563</td>
<td>195</td>
<td>35%</td>
<td>GP or Community nursing instead of attendance</td>
<td>Patient & family decision</td>
<td>3%</td>
<td>£0.4m</td>
</tr>
<tr>
<td>Q1 - A&E admissions</td>
<td>189</td>
<td>68</td>
<td>36%</td>
<td>Community health or GP instead of admission</td>
<td>Hours alternative services (such as RAI) commissioned</td>
<td>42%</td>
<td>£5.3m</td>
</tr>
<tr>
<td>Q2 - Acute settings of care</td>
<td>726</td>
<td>370</td>
<td>51%</td>
<td>Home with clinical or social support instead of hospital admission</td>
<td>Different stakeholders being joined up in their approach</td>
<td></td>
<td></td>
</tr>
<tr>
<td>Q3 & 4 - Acute discharge and Local authority intake</td>
<td>500</td>
<td>219</td>
<td>44%</td>
<td>Domiciliary package instead of residential / nursing home</td>
<td>Discharge process incomplete</td>
<td>21%</td>
<td>£2.7m</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td>Falls service, voluntary sector support, equipment hire included?</td>
<td>Hospital pressure, Service user choice, Family pressure & knowledge of services</td>
<td></td>
<td>17%</td>
<td>£2.2m</td>
</tr>
<tr>
<td>Q5 & 6 - Community nursing and overlap with social careability of service user and family to self care</td>
<td>287</td>
<td>162</td>
<td>56%</td>
<td>Move part of registered nurse workload to lower grade nurses, care workers, service users & families.</th><br/>
Utilise registered nurses elsewhere in system.</th><br/>
```
<watermark style="font-size: smaller;">18 Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</watermark>
<watermark style="font-size: smaller;">Appendix 1, case study d: Creating clarity of accountability for discharge in Swindon</水
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# 3 Avoidance of admissions to acute hospitals
Whilst opportunities to increase independence and reduce cost were found across the health and care system, the greatest area of potential financial savings is the avoidance of A&E admissions. Many of the avoidable admissions related to individuals with numerous co-morbidities, and who typically experienced longer lengths of stay in the acute hospital than the average. This accounts for 42 per cent of the financial opportunity identified.
**Case example: Mr J, age 82**
Mr J was being cared for in an intermediate care centre, when he suffered a collapse. Discussion through the workshop concluded that the patient should have been kept in the intermediate care centre and managed there, but lack of a senior decision maker resulted in an attendance at A&E and then admission to hospital.
Nearly two thirds (64 per cent) of cases identified by the reviewing practitioners as avoidable admissions to hospital could have been avoided by means of interventions and decision-making on the day, at the point of attendance at hospital. The remaining third (36 per cent) would have required early identification and prevention prior to the point of attendance to avoid the hospital admission. The majority of the preventable A&E admissions would be diverted to other primary and community health services as shown in Figure 4, which indicates where resources might be better placed in order to reduce admissions to hospital. This is a key target for most CCGs and is within the scope of the Better Care Fund.
<img>Figure 4 – Services where avoidable admissions might have been diverted</img>
Service where admission could have been prevented
- Admission correct at point of attendance, could have been prevented beforehand
- Admission could have been prevented at any point up to admission
\<page_number>14\</page_number> Efficiency opportunities through health and social care integration It is important to note that it is not simply a matter of the right resources being in the right place. In over 90 per cent of cases the required pathways were available, but the reviewers found that pathway decision-making at the critical points in the system varied widely. System efficiency demands ways of working that integrate fully into these decision points, to ensure that the full benefits are realised.
Access to integrated community teams at the ‘front door’ (the point of access – usually A&E – but there may be admissions also to coronary care or direct admission to a ward) of acute hospitals is shown in Pennine Lancashire as having a 5 per cent impact on admission rates. The greatest preventative impact can come through social care, supporting individuals prior to attendance at A&E. The greatest preventative opportunities were observed to be falls prevention and tackling loneliness – an area where the voluntary sector can also play an important role. An example of this can be seen in the work undertaken in Greenwich to reduce falls as a preventative activity, with its impact on demand for both health and social care.19
Case example: Mrs P, age 80
Mrs P was diagnosed as having chronic obstructive pulmonary disease (COPD), was breathless and suffered from anxiety and loneliness. She was noted to have attended A&E 33 times over the last two years. Consensus from a workshop was that telecare and more accessible social support would have prevented her from relying on A&E and on the ambulance service for transport.
Case example: Mrs L, age 62
Mrs L was in a residential home run by social services. A falls risk was identified, but no falls prevention activity undertaken. Five months later, she fell, fractured the neck of her left femur, requiring a hip replacement. One month later, she sustained a fracture to her right femur. Mrs L is now in a nursing home with limited mobility.
20 Appendix 1, case study b: Reducing acute admissions through integrated front door processes in Pennine Lancashire 20 Case study c: Reducing falls is a key preventative activity to reduce demand to both health and social care services in Greenwich
Efficiency opportunities through health and social care integration \<page_number>15\</page_number>
# 4 Discharge planning to maximise independence
Two elements were highlighted as important in effective discharge planning:
- Ensuring that patients are not held in hospital beds when alternative settings may be suitable. This work, using a Clinical Utilisation Review tool¹ and cross-referencing with local practitioners has estimated that 10 per cent of the non-elective bed capacity could realistically be freed up by patients receiving the same clinical care in an alternative setting. The study indicated that the majority of the alternative settings are likely to be home-based, with either community or social care support.
- Ensuring that when patients with complex needs are discharged, they are supported by the most appropriate pathways.
In almost every case where practitioners identified an alternative pathway for a service user, the alternative was at a lower level of care and would incur less cost to the system. The alternative pathways might reasonably be expected to increase the independence of service users in the longer term with less reliance on both the care and health systems. Accessing clear and joined-up information about a patient or service user at this critical stage of the pathway was highlighted as a particular challenge.
“**What strikes me through this exercise is the difficulty getting the information, even with time to sit and look through notes. How can we expect decisions to be optimal at the point of discharge?**”
GP
**Case example: Mr B, age 73**
Mr B should have been discharged home after his short stay in hospital care. Instead he was discharged to a community bed, where he contracted an infection and remained in hospital for a prolonged period of time. His health has now significantly deteriorated.
Review practitioners also found that the expectations of patients and family were often felt to have been heavily influenced by professionals, early in the care pathway. They observed that the professionals setting these expectations often do not have sight of the most appropriate discharge options (for example an acute consultant advising on social care packages) and no feedback loops exist to support their learning. This frequently appeared to lead to discharge assessments seeking additional services that were not necessary. These included ‘double-handed’ visits after discharge, admissions to short and long-term care and formal care packages, where none were needed.
______________________________________________________________________
1 http://oakgroup.com/salford-royal-foundation-trust-clinical-utilisation-review-tool/
\<page_number>16\</page_number> Efficiency opportunities through health and social care integration
# 5. Deploying a better skill mix in teams
The most valuable and expensive asset of the health and social care system is its workforce. Whilst reducing the number of highly skilled professionals in one part of the system may seem an attractive option to release savings quickly, this study has shown that sustainable efficiencies can be realised by taking a more sophisticated approach, and aligning skill sets across the whole system.
A number of the areas studied (A&E admissions and setting of care) highlighted the need for a greater number of registered community nurses. This diagnostic exercise sought to understand if registered nursing capacity could be increased.
When reviewing nursing case notes, the registered nurses identified repeated occasions on which they had been carrying out tasks that could have been delegated to healthcare assistants or, with training, to patients and carers. The majority of registered nurse time was found to be spent on low level wounds, diabetes and medication management. Whilst registered nurses should have intermittent oversight of these cases, they did not believe they should be doing the majority of the direct service provision.
*“The specialist diabetes nurses used to train residential staff to deliver insulin – that doesn’t happen anymore and we do the work”*
District nurse
District nursing teams were found to comprise of between 62 per cent and 90 per cent of registered nurses. These nurses calculated that the workload only required their grade of input for 40 to 51 per cent of the time. There is a missed opportunity on both a personal development level, as well as a system level. This capacity could be used to support other parts of the system such as admissions avoidance, which would provide both system efficiency as well as development for registered nurses.
By cross matching information on district nursing support and social care provision on a week by week basis, nurses further identified that 23 to 30 per cent of the activity they undertook could be done by either the service user, their family or care workers already visiting the service user. This would not only create greater registered nurse capacity, but also encourage service user independence.
**Case example: Mr A, age 85**
Mr A is a patient receiving four carer visits per day but he also had a nurse visiting every three days to replace a patch on his arm. The carers could have been trained to replace the patches for Mr A.
Efficiency opportunities through health and social care integration \<page_number>17\</page_number>
# 6. The approach taken to change
There are some consistent messages arising from this work that impact on an area’s ability to realise the efficiency opportunities identified across the health and social care system. The case studies set out in Appendix 1 provide practical examples of what can be done to develop better integrated models of health and care and realise the opportunities identified through this work.
The most important factor evidenced in realising these opportunities is not the specific solution designed, but the approach taken to change. Innovation efforts typically focus on the solution, however too often they fail to achieve the desired objectives. Typically this stems from applying the ‘solution’ without a clear view of how it works in the local context, which elements of the application are critical and what the outcome-based measures of success are.
Successful health and social care partners use a change process based on the following principles:
1. **Focus efforts where the biggest difference can be made.** There are many potential opportunities for integrated health and social care. Health and care partners are each faced with an array of different and changing objectives and advice – and this bombardment of requests may often overshadow the focus required to make large-scale improvements. It is better to deliver fully on a smaller number of major opportunities rather than achieving minimal impact across many. In order to do this, robust quantification and comparison of opportunities is needed, with active decisions about what not to do as well as agreement on priorities.
2. **Put the right structure in place, with appropriate leadership, governance and resource.** Successful models observed though this work all featured the involvement of one or more strong leaders, who took ownership and accountability for the outcomes. Change takes time. It demands that people commit the necessary energy, time and determination to deliver the new approach from the very outset. The appropriate governance needs to be established, before, during and after the change programme.
3. **Align strategies.** In any programme of change it is essential to ensure that the work processes are aligned with each organisation’s vision and incentives. The two systems of health and social care have significantly differing organisational strategies – in many situations they do not prioritise the same things. To create successful change, leaders must recognise that this will require each practitioner in each organisation to change their way of working on both cultural and operational levels. There will need to be a compelling communication process, which relates these changes to the overall ‘direction of travel’ of the organisation and the wider system in which it sits.
The system resilience group is frustrating, we all add actions onto the list, end up with well over 60 and then seem to go round in circles each week”
Acute CEO
\<page_number>18\</page_number> Efficiency opportunities through health and social care integration 4. **Empower the front line.** Successfully implemented change management is characterised by a process in which solutions are co-designed with front line users. Any new design or approach that is needed should be created with the insight and help of the people who will be using it. A design stage provides a valuable opportunity to bring together staff from different organisations into teams, thereby building stronger perspectives and understanding of the roles taken by everyone involved.
5. **Rigorously measure performance.** It is always essential to ensure that partners will be able to recognise whether successful change has been achieved. Metrics to capture meaningful data on decision-making (and hence pathways), quality and cost are essential. Where possible these should be outcome-based measures (such as independent outcomes post reablement). A baseline of historic performance can be calculated and used as a benchmark against which improvement can be measured.
6. **Live test and design solutions.** Any new design or approach should always be tested in a trial area of appropriate size – large enough to be statistically meaningful, yet small enough that all stakeholders can be involved, any damage or fall-out can be limited and external impacts on the programme can be fully understood. In Kent a 40 per cent reduction in residential placements was achieved within the pilot site before the project was rolled out more widely, sharing the learning by means of a ‘product manual’. Many organisations jump directly from “idea” to “implementation” – either with a shortcut design process or no design at all. A year later management’s expectation of the operation can be very different from what is happening in reality on the ground. Performance metrics should be monitored and considered in light of the baseline performance. It is unlikely that any new design will be perfect at first, and there should be the expectation of challenging and iterating the design to ensure that the required results are achieved.
7. **Standardise the new approach and then roll out at scale.** Once the points above have been achieved, the new design can be standardised and prepared for implementation across the remaining areas. The key principles above (albeit with less re-design) need to be applied in each case.
8. **Simplify the system.** Innovation typically takes place by adding another ‘patch’ to the system, without taking away the previous alternatives. Whilst this may seem easier in the short term, it fails to address root causes and increases complexity over the longer term. In order to ensure change is fully sustainable, older ways of working must always be removed. Crucially any existing pathway must be scaled back (and measured) to prove that the new design is not simply a new “bolt on” service. This ensures that the options available to front line decision makers are simplified, rather than becoming more complex.
The case study example from Kent illustrates these principles and how they were applied.
Four further examples, covering the range of opportunities highlighted through this study are described at Appendix 1.
______________________________________________________________________
22 Appendix 1, case study a: Delivering a step change in residential placements in Kent, arising from the acute hospital
Efficiency opportunities through health and social care integration \<page_number>19\</page_number>
# Conclusions
This report has identified the possibility of finding efficiency savings for both partners (health and care) through better integration and working together.
The focus must be on key decision-making at critical parts of the care pathway.
The challenges for commissioners include the need to examine and rationalise the menu of services offered and to scrutinise the volumes of services provided, in order to maximise the opportunities for better outcomes.
There are challenges for clinicians and other practitioners to ensure that the best decisions are being made, consistently, to ensure that the best possible care pathway is provided for the patient, rather than being driven by the perceived needs or capabilities of the organisation.
There is a need for everyone to better understand the impact on patients and service users of the available options so that they understand why particular care pathways may be more effective and more appropriate for them.
Many of these changes can be made within relatively short timescales. The key to success will be the approach that is taken to the change.
In a context of increasing demand and reducing funding the challenge for national bodies is to rationalise the number of 'asks' made of health and care partners, drawing together initiatives to provide a greater clarity of focus and learning, enabling areas to focus on developing sustainable local solutions.
\<page_number>20\</page_number> Efficiency opportunities through health and social care integration Appendices
**Appendix 1** *Evidence of impact* a. Kent b. Pennine Lancashire c. Greenwich d. Swindon e. Sunderland
**Appendix 2** *Further thoughts for leaders to progress change in their local areas* a. Developing risk-sharing to avoid disincentives b. Simplifying information governance and data-sharing agreements c. Aligning leaders
Efficiency opportunities through health and social care integration \<page_number>21\</page_number> Appendix 1 Evidence of impact
a. Delivering a step change in residential placements in Kent, arising from the acute hospital
Background Kent is one of the largest county councils in the UK, and a significant proportion of its budget is allocated to adult social care – £450 million in 2014/15. Within Kent there are seven acute hospitals, each with embedded social work teams, in common with most areas in the UK.
Of the adult social care budget, almost £70 million is allocated to nursing and residential care for older people and those with physical disabilities. Within this budget over half of service users in residential placements have come either directly from the acute hospital or from the acute hospital via a short-term placement.
To understand potential for improvement, an experienced multi-disciplinary group of practitioners (see ‘Our Approach’) reviewed the case notes of service users who had been placed in residential care after an acute stay. It was found that over 80 per cent of these people could have been given a different service, thus achieving a higher level of independence, without any compromise to their safety.
Alongside this, a sample of service users being considered for short or long-term placements were asked how they felt about their discharge destination. Only 9 per cent of those asked expressed a clear preference for going into a short or long-term residential placement, with 40 per cent preferring to go home. When the family and friends of the same sample of service users were asked what they would prefer, over 75 per cent selected a short or long-term residential placement, whilst only 2 per cent wanted the service user to return home. The workshop members’ view was that in many cases the ward-based staff supported the family and friends and were encouraging short or long-term placements. On further enquiry of the ward-based staff, however, it was found that they were not familiar with the full range of enabling interventions on offer.
Designing the new service From the analysis, it became clear that a focus on improving the culture and behaviours around practitioner decision-making is needed to improve the discharge process. Layering on additional pathways to an already complicated system was not going to provide the solution – a change in ways of working was necessary. One acute hospital was chosen as a pilot site.
The initial step was taken by a team of social workers and acute hospital staff, who following a round of further case reviews, challenged, agreed and then simplified their “vision” for delivery of their service, as shown below.
\<page_number>22\</page_number> Efficiency opportunities through health and social care integration Figure 5 – Kent vision for the service
<img>A diagram showing the Kent vision for the service. It starts with "KCC Hospital Team" and moves to "Decision Point". The first step is "Identify and select the best outcome for each person", followed by "Understand and address the biggest issues preventing the most appropriate outcome". Then, "Escalate issues for Area- and County-wide action". Finally, "Training, tools, processes and governance in place to support staff in the delivery of an effective service". There are arrows pointing from the decision point to different beds: Own Bed is Best Bed, Short Term Bed, Long Term Bed.</img>
**Supported group discussion**
The team quickly recognised the value of constructively challenging cases as a hospital team and were keen to see this built into their new ways of working. The discussion focuses on each client’s individual needs and examines what combination of services (often a complex mix) could be put in place to allow the client to be discharged home safely.
Whilst the new ways of working were being established it was found that additional intensive support from social workers, prepared to challenge the status quo, was critical – alongside clear measures of success. In the initial weeks of the pilot phase, when this support was not present, the new ways of working quickly began to fall away.
It was found that the practitioner providing the intensive support does not necessarily need to be of a high level of seniority within the organisation but must be respected within the teams so that their input is acted upon. As the process became better embedded within the teams, the Social Care Discharge Coordinators (leaders within the hospital teams) took over the responsibility for providing the support and challenge on a daily basis, with the team manager attending the meeting to provide extra support once or twice a week.
The team undertook to examine every potential avenue before the client’s discharge path was agreed. Every case where a client could potentially go to a short or long-term placement was discussed in a dedicated daily meeting. This discussion offered the practitioner further support in identifying other potential options for the service user. Simple, often visual tools were used to help facilitate this process as shown in Figure 6.
Efficiency opportunities through health and social care integration \<page_number>23\</page_number> Figure 6 – Pathways to promoting independence
<img>A whiteboard with various notes pinned to it, titled "ACUTE HOSPITAL OPTIMISATION". The board has sections labeled "TRIAGE", "ASSESSMENT", "DECISION", and "DISCHARGE". There are also notes and papers pinned to the board.</img>
**Clear escalation route**
The team of practitioners designed a clear governance structure to resolve issues that could not be solved by the hospital team alone – see Figure 7. The unresolved blockers were regularly reviewed and overcome.
**Figure 7 – Governance structure for responding to issues**
<watermark>Monthly Review</watermark> Director Assistant Director
Weekly Review Fortnightly Review Service Manager & Team Manager
Daily Discussion SCDC Hospital Team
Flow of information
(SCDC – Social Care Discharge Coordinators)
\<page_number>24\</page_number> Efficiency opportunities through health and social care integration Figure 8 – Designing for sustainability
**Defined product** *“Ensure all elements of product are considered in design”*
<img>A circular diagram with the word "PRODUCT" at its centre. The outer ring is divided into six segments, each representing different aspects of the product design process. From top to bottom, these segments are: MOTIVATION, TOOLS AND PROCESSES, TIME, PEOPLE, BUSINESS, PHYSICAL ENVIRONMENT, and WORKER CODE. Each segment contains text describing that aspect of the product design process. For example, MOTIVATION has "WHY WE DO WHAT WE DO" written in it. The innermost circle contains the word "PRODUCT". The middle circle contains the words "BUSINESS", "PHYSICAL ENVIRONMENT", and "WORKER CODE". The outer circle contains the words "TIME", "PEOPLE", and "TOOLS"."</img>
A 40 per cent reduction in long-term placements was achieved from working within the pilot site. Towards the end of the pilot phase the team identified and reflected on the key levers to enabling this change. These were then articulated in a 'product manual', to share their learning going forward with other sites. The 'product manual' described a set of key elements, as shown in Figure 8.
It is significant to note that the left hand side of the diagram, which describes the 'people', elements of the team and its culture, in terms of the skills, time invested and motivation were identified as the most critical to the success of the pilot to date.
A substantial change management initiative was undertaken to roll out the 'product' in a controlled manner across the entire authority. Reflecting on previous change initiatives, senior managers at the authority were all too aware of the risk of underestimating the effort, time and resource required for roll-out. A further advantage of articulating the product clearly and concisely was that it enabled all stakeholders to recognise where the ways of working were not performing as intended.
**Impacts of the work**
**Benefits to service users** Mrs W was admitted to the acute hospital feeling unwell, with severe confusion, having suffered a collapse. Before being admitted, Mrs W lived with her son and had a care package of two calls by carers per day, to help with personal care and meal preparation. Her mobility had deteriorated rapidly leading up to and during her stay in hospital, where she became bed-bound.
Initial assessment indicated reduced mental capacity but the caseworker noted an improvement within a couple of days, and Mrs W expressed that she wanted to go home. At first, Mrs W's son had indicated that he wanted his mother to be placed in residential care. The Kent Social Services caseworker arranged for a meeting with Mrs W and her son, along with her occupational therapist and nurses from the ward.
Efficiency opportunities through health and social care integration \<page_number>25\</page_number> The meeting was used to discuss Mrs W's care needs and create a care plan for how these were best going to be met. It was agreed that she would be referred for an increase to her package of care, to support a return home. The meeting and discussions with various professionals convinced the son that this was the best outcome.
**"Both the OT's and social worker's input convinced me to give home care a try"**
Mrs W's son
Mrs W has now returned home with additional support and the community case manager has been in touch to take over management of her care going forward. When asked about how she felt about the outcome, the KCC hospital caseworker commented:
**"We always try to get people back to their home in the first instance. It's in her best interest, especially as she wants to go home."**
Kent CC hospital caseworker
**Mrs H** was admitted to hospital following a severe stroke. She had previously lived with her husband and had been entirely independent. When she was referred to social services, the referral had already been made for a short-term placement in a community hospital, requiring a peg feed. The social worker was aware that Mrs H was due to be reviewed by the short and long-term support team (SALT), so waited for the outcome of that review, upgrading Mrs H to a soft diet, before progressing with the SALT assessment.
The ward staff argued that Mrs H was cognitively impaired and going home with her husband, whose capacity they also questioned, would not be safe for her.
The social worker reviewed the mental capacities of both Mrs H and her husband and confirmed that both were capable of making the decision about Mrs H returning home.
There was still disagreement from the ward staff and the rest of Mr and Mrs H's family. To try to ally the family's fears, the social worker asked the dietician to provide Mr H with a clear list of the foods that Mrs H would be capable of eating. As a result, the rest of the family were happy that Mr H would be able to manage his wife's diet at home. To offer further support, the social worker arranged for a meals service to provide Mrs H with hot meals for three weeks, which also gave Mr H ideas for what he could cook for his wife. In addition, the worker arranged for Kent Enabling at Home (KEA@H) and telecare services to be put in place for Mrs H, to include a falls sensor and carer assist (a pager allowing her to contact her husband when he was working in his office). To provide additional security, Crossroads²³ was also put in to give 24 hour care for the first three days after discharge. Supported by this package of interventions, Mrs H was able to return home safely with her husband.
**Benefits to the local authority**
It was important to ensure that clear performance metrics had been identified to enable monitoring of progress. Figure 9, below, demonstrates that significant improvements have been achieved, with a 36 per cent reduction in short-term bed placements and a 34 per cent reduction in long-term bed placements, across Kent County Council.
23 Crossroads is a charity that can provide 24 hour care for short periods (typically 72 hours). The service is typically for dementia crisis but is also used in East Kent to make sure that someone can cope in their own home on discharge from hospital.
\<page_number>26\</page_number> Efficiency opportunities through health and social care integration Figure 9 – Reduction in the number of residential placements
Efficiency opportunities through health and social care integration \<page_number>27\</page_number> Accounting for the alternative pathways these service users are now taking, annualised savings of £4.1 million have been delivered for the council.
**Benefits to staff**
The benefits to social services staff were clear. Feedback from staff at the acute hospital highlighted that after some initial apprehension of the new process, members of the team embraced the regular discussion and felt supported by their colleagues. There was also acknowledgement that the process made the decision-making more consistent across the team. Studies\* have shown the benefits of group supervision in social care, many of which are also seen in the structured group discussion of cases, which is integral to this process.
“The daily wash-up process provides us with a mechanism to ensure we are applying an evidence-based method of approaching cases and achieve the best outcome for service users.”
Social worker
Everyone feels more supported in getting someone home.”
Acute discharge coordinator
Involving the wider Integrated Discharge Team in these discussions brought further benefits to staff, bringing knowledge from voluntary and community organisations as well as health and social care staff. This built greater awareness of the range of services available to people on discharge from hospital.
**Similar impacts elsewhere**
Sunderland local authority has made some similarly positive improvements in their referrals to residential nursing beds through their Vanguard programme ‘All Together Better’. The authority’s whole system strategy and particularly the set-up of a ‘Recovery at Home’ service (providing step-up and step-down care) have helped reduce its rate of admissions to residential nursing homes by 43 per cent to date.
24 http://www.scie.org.uk/publications/briefings/briefing43/
\<page_number>28\</page_number> Efficiency opportunities through health and social care integration b. Reducing acute admissions through integrated front door processes in Pennine Lancashire
**Background** As highlighted in this report, managing admissions to the acute hospitals offers the greatest opportunity to support independent outcomes and make savings. The risk of spiralling medicalisation of patients once in the health and care system is widely acknowledged, yet few reports show firm evidence of a positive impact being made to reduce this. The Pennine Lancashire area has made some progress in this area.
Like many areas, Lancashire has a long and complex range of health and care services that have both evolved and have been added to, over the years, making care navigation a significant challenge. Some progress had been made, however, to provide improved access points to services, through Integrated Neighbourhood and Integrated Locality Teams.
Facing rising pressure on both bed capacity in the acute hospitals and on front door A&E services, Lancashire initiated a major programme of work to bring together the disparate array of supporting professionals located in A&E into one team including Intensive Home Support Services (IHSS), OT, physiotherapy and the voluntary sector. IHSS comprises both district nursing and social services staff, providing step-up and step-down services, aimed at treating patients in their own homes. IHSS has been a key referral pathway for the front door A&E ‘deflections’ for those people who following triage do not need A&E treatment but would be better treated at home with the appropriate interventions.
With the setup of a multi-professional front door team in A&E, the authority has reduced acute admissions at East Lancashire Hospitals NHS Trust (ELHT) by 5 per cent, against a national trend of rising demand (see Figure 10, below). This equates to about 100 to 120 avoided admissions per month. A similar number of patients are ‘deflected’ from the Acute Medical Unit (AMU) within 72 hours of admission, whilst ensuring these patients are placed on the most appropriate, independent pathway and do not get drawn further into the system inappropriately. Of the successfully deflected patients, it was found that 70 per cent require support for respiratory (COPD), falls, mobility or pain relief.
**Figure 10 – ELHT admission rates compared to national trends**
*Source: ELHT A&E attendances and Spells data. HSCIC nationally reported A&E attendances and admissions*
<img>
A line graph showing comparison of ELHT and national type 1 admissions.
The x-axis shows months from January to December 2015.
The y-axis shows ELHT type 1 attendances ranging from 300,000 to 360,000.
National type 1 attendances are shown as a yellow line.
ELHT attendances are shown as a blue line.
The graph shows a downward trend in ELHT attendances from around 340,000 in January to around 280,000 in December.
The National attendances show a similar trend but start higher than ELHT attendances.
There is a dashed vertical line at Team start indicating when the team started operations.
The y-axis for ELHT attendances also shows ELHT type 1 attendances for 2015.
The y-axis for National attendances shows National type 1 attendances for 2015.
Legend:
- National
- ELHT
</img>
Efficiency opportunities through health and social care integration \<page_number>29\</page_number> Case example: Mr C, age 94
Mr C was recently widowed and lived alone. He experienced considerable pain and his mobility was declining as he was awaiting a hip operation. Mr C had a fall, which he attributed partly to the side effects of his pain medication. Paramedics found no bone injuries, however Mr C was shaken by the event and the continued risk of falls. He was referred to the Integrated Community Assessment Team (ICAT) who put in place overnight crisis care for three nights, referred him on to Integrated Home Support Services (IHSS) for therapy and nursing assessments the next day. These visits detected a UTI, for which antibiotics were prescribed and also highlighted the need for walking frames and minor support equipment. A short-term one week care package was also commissioned.
Mr C and his family were delighted by the outcome, speed and responsiveness of the service. They felt much more confident and Mr C was ready to continue independently, post-implementation of the care package. In numerous other examples people in similar circumstances have remained in hospital for a protracted length of stay.
\*Supported group discussions allow the best options to be appraised quickly and accurately with a multi-professional team.
- The solutions and ways of working were designed in a ‘bottom-up’ approach, by the team based in A&E.
- The team placed great emphasis on building relationships with the surrounding staff and partners – these working relationships are necessary to alter behaviours.
- The approach was consistent with and supported by the hospital’s overall quality improvement plan, which had been articulated as ‘Working together internally and throughout the health economy, to provide the right care, in the right place, at the right time.’
- Evidence of the impact was captured and analysed.
Further impacts of the work are seen in the four hour A&E targets and performance, in relation to delayed transfers of care (DTOC). Whilst the four hour performance for type 125 A&E at ELHT is not yet at 95 per cent, since September 2015 it has improved relative to the nationally declining backdrop (December 2015 performance ELHT 91 per cent vs 87 per cent nationally). Similarly DTOC occurrences have dropped relative to the national increasing backdrop. Both of these trends are shown in Figure 11 below.
Why has this worked?
Practitioners working in East Lancashire suggest that there are a number of factors in the approach to change which have contributed to the success in reducing admissions:
- The intervention (integrated ‘front door’ team) is located at the point of decision (A&E) so that practitioners are able to offer community based options before patients get drawn further into the acute system.
- The focus has been placed on consolidation, making decisions and access to services simpler. Rather than adding on more resource, existing resources from multiple teams have been consolidated into one team.
25 Type 1 A&E department; a consultant led 24 hour service with full resuscitation facilities and designated accommodation for the reception of accident and emergency patients
30 Efficiency opportunities through health and social care integration Figure 11 – ELHT 4 hour and DToC performance
National and ELHT trend A&E attendances (Type1) 4 hour target performance
<img>
A line graph showing the percentage of attendances < 4 hour target over time. The y-axis ranges from 80% to 94%. The x-axis shows months from JAN to DEC. There are two lines: National (orange) and ELHT (purple). The National line starts at around 86% in JAN, peaks around 93% in JUN, then drops to around 87% in SEP, and rises again to around 92% in DEC. The ELHT line starts at around 85% in JAN, peaks around 92% in JUN, then drops to around 85% in SEP, and rises again to around 91% in DEC.
The graph has a title "National and ELHT trend of NHS-related DTOC occurrances" with a y-axis ranging from 60000 to 120000 and an x-axis showing months from JAN to DEC. There are two lines: National (orange) and ELHT (purple).
The graph also has a title "National and ELHT trend A&E attendances (Type1)" with a y-axis ranging from 80% to 94% and an x-axis showing months from JAN to DEC. There are two lines: National (orange) and ELHT (purple).
There is a vertical dashed line labeled "Team start" running through the middle of the graph, separating the data before and after this point.
The years 2015 are shown on both graphs.
Legend:
- National
- ELHT
</img>
Source: HSCIC nationally reported A&E attendances, admissions and DToC data
Efficiency opportunities through health and social care integration \<page_number>31\</page_number> c. Reducing falls is a key preventative activity to reduce demand to both health and social care in Greenwich
**Background** The role of preventative services is key to any future model of health and care in these and other areas. When analysing service users at the point of entry, or 'front door' of the local authority, it was found that 25 per cent to 46 per cent of users would have benefited from preventative services, which they did not receive. Furthermore, of the 21 per cent of cases classified as 'avoidable acute hospital admissions', approximately one third of them would have been due to early identification and prevention. The most common type of preventative service missed in these cases was falls prevention.
Of the areas studied as part of this work, Greenwich showed the most comprehensive use of falls prevention at the front door of the local authority, illustrated by the evidence from the case review workshops, as shown in Figure 12 below.
<img>
A bar chart showing the percentage of local authority service users receiving a package of care identified as who should have had falls prevention support, but did not.
The x-axis shows two categories: 'Greenwich' and 'Average of other areas'.
The y-axis shows percentages from 0% to 25%.
For 'Greenwich', the bar reaches approximately 20%.
For 'Average of other areas', the bar reaches approximately 10%.
Source: Greenwich case review workshops
</img>
Within Greenwich a bespoke multidisciplinary falls team, managed by a dedicated falls coordinator, operating across health and social care was put in place, more than 10 years ago, to reduce the number of falls occurring. The initial focus had been on referrals to social care, with a more recent emphasis on those presenting at A&E.
'Making the correct choice the easy choice'
Considerable thought has been invested in ensuring that the correct decisions are made for the cohort of patients most likely to benefit from falls prevention. As part of the initial focus on referrals to social care, the falls prevention team have set up a mandatory assessment form, to ensure all referrals for social care and all service users undergoing a care package review are assessed for their falls risk (in line with NICE and 161 guidelines). This process has now been in place for 10 years, gradually gaining the support of GPs and other partners.
Figure 12 – Percentage of local authority service users receiving a package of care identified as who should have had falls prevention support, but did not
\<page_number>32\</page_number> Efficiency opportunities through health and social care integration Figure 13 – Falls assessment in Greenwich
The development of key performance indicators (KPIs) and the use of them to inform decisions has been key to improving outcomes. The analysis below shows a reduction in falls, achieved across a set of residential homes following a focused effort of reduction.
Figure 14 – local authority data for falls in Greenwich Care Homes 2013/14 to 2014/15
<img>
A bar chart showing the number of falls per year in four care homes: Weybourne, Sunbury, Ashgreen, and Time Court.
- Weybourne: Apr 13 - Mar 14: 38, Apr 14 - Mar 15: 17
- Sunbury: Apr 13 - Mar 14: 25, Apr 14 - Mar 15: 14
- Ashgreen: Apr 13 - Mar 14: 37, Apr 14 - Mar 15: 24
- Time Court: Apr 13 - Mar 14: 38, Apr 14 - Mar 15: 24
The y-axis represents the number of falls, ranging from 0 to 40.
The x-axis lists the care homes: Weybourne, Sunbury, Ashgreen, Time Court.
The legend indicates that the orange bars represent "Apr 13 - Mar 14" and the purple bars represent "Apr 14 - Mar 15".
A note at the top of the chart states "57 per cent reduction in one year".
</img>
Efficiency opportunities through health and social care integration \<page_number>33\</page_number> **Further opportunities**
The falls service in Greenwich undertakes a total of 365 contacts per week. The service is at full capacity with a waiting list of 12 to 15 weeks, which is currently increasing. This has had an impact on outcomes, with some users falling whilst awaiting intervention from the service.
Analysis of data from other areas in the study has indicated an urgent need for a capacity review of the various falls prevention offers. In some areas, such as Greenwich, the service is fully utilised, whilst in others capacity is available – although this is not being utilised by practitioners due to the nature of their decision-making processes.
Given that this study has highlighted falls prevention as a significant opportunity, it is important to consider the overall reduction of investment in falls services across the UK.
\<page_number>34\</page_number> Efficiency opportunities through health and social care integration d. Creating clarity of accountability for discharge in Swindon
**Background** There is a risk that integration is interpreted as simply the merging of organisations and blurring of boundaries between teams. The evidence from this part of the LGA project suggests that an approach that brings people together physically but does not address accountability and working practice can lead to poor decision-making.
In each area, Newton worked alongside practitioners to compare how patients were being discharged from hospital, by looking at the selected pathway and asking if a more appropriate option could have been put in place. In Swindon, the majority of patients with complex and multiple needs are discharged appropriately to the correct service type for their needs. Yet in another geography, one third of patients with complex needs were discharged to what local reviewing practitioners regarded as the 'wrong' service.
It is worth noting that within Swindon, in keeping with other areas, although the service type was correct, significant opportunity existed to reduce the size of package within that service.
**Good practice** Ward staff across both hospitals lacked knowledge of all the preventive and short-term intervention pathways available. However, the key difference between the hospitals in the two different geographies studied was the clarity of accountability of discharge coordinators. These individuals had the greatest oversight of all the options. Where a discharge coordinator had clear accountability for the discharge process, ward staff tended not to get involved in discussions with the patients about their longer-term options.
Pathways were more appropriate in this situation. Where ward staff or clinicians were influencing the discussions without comprehensive knowledge of the services available, the result was found to be considerably less satisfactory.
"The wards now describe the patients to us instead of prescribing care. How are they meant to know all of the options out there?"
Discharge assessment referral team member
The comparison of the behaviours and structures operating in the two geographies indicates that where practitioners have clarity over their roles and responsibilities, and coordinators are held accountable for pathway decisions, service users are more likely to be referred to the optimal pathway. The study found that the most common reason that service users were inappropriately occupying hospital beds was the delay in assessment and provision of ongoing packages of care. The optimal pathways were found to be at a lower level of care, suggesting that clear accountability and more effective decision-making is likely to result in an additional benefit of reduced discharge delays.
Efficiency opportunities through health and social care integration \<page_number>35\</page_number> e. Integrating the procurement of Continuing Health Care (CHC) and local authority beds in Sunderland
**Background**
In previous projects Newton has observed several examples where a service user in a nursing home has had their funding source changed from Continuing Health Care (CHC) to the local authority, or vice versa, and the cost has changed without the actual care provision changing.
In this study, CHC nursing home rates across the participating areas were compared to internal benchmarks and national framework benchmarks for CHC nursing. This indicated an opportunity of 4 per cent rate reduction. There is the potential for further opportunities when the integration of the commissioning function is considered more broadly.
The progress of many projects to address issues of this nature is often hindered by the complexity and lack of flexibility in data sharing between key partner organisations. Integration cannot move forward at pace until this barrier is removed.
**Good practice**
Sunderland provided an exception to the norm in this regard. The local authority here has commissioned CHC and local authority beds, as one, for the past five years. This results in achieving the same rate for both types of bed. The authority also achieved one of the lowest costs per week of any of the geographies studied for both bed types.
Strong relationships between health and social care have been built over many years in Sunderland, and this has been a key enabler to the result.
Leadership commitment and drive has been essential in progressing an integrated model of care. Based on the discussions in Sunderland and supported by the findings in the other participating areas, a set of questions has been developed for leaders to consider to support progress – see Appendix 2.
\<page_number>36\</page_number> Efficiency opportunities through health and social care integration
# Appendix 2
## Further thoughts for leaders to progress change in their areas
In addition to the thoughts on leadership arising from the case study from Sunderland, see Appendix 1. Evidence from this work suggests that there are three other challenges which should be addressed in progressing integration efforts effectively:
- developing risk-sharing to avoid disincentives
- simplifying information governance and data-sharing agreements
- aligning leaders.
Whilst these factors are touched upon throughout the main report, they are expanded on here to support leaders in ensuring these critical areas are not missed.
### 2.1 Developing risk-sharing to avoid disincentives
Discussions with chief executives and directors of adult social care services highlighted how NHS and social care funding systems are poorly aligned. The financial and flow model built as part of this work shows how, if service users change pathway through the system, the tariff/funding changes will not change accordingly. This could lead to a situation where one partner benefits from integration, whilst the other pays.
There are examples of good practice in this regard; new initiatives such as Year of Care\\textsuperscript{26} and the devolution programme in Manchester (Devo Manc) may help to solve this financial risk sharing in the long term\\textsuperscript{27}.
In the meantime, health and social care partners should develop risk-sharing strategies at a local level to avoid the pitfall of financial disincentives.
### 2.2 Simplifying information governance and data-sharing agreements
The progress of many projects of this nature is often hindered by complexity and lack of flexibility in terms of data sharing between key partner organisations. Integration cannot move forward at pace until this barrier is removed.
The ability to collate and analyse datasets meaningfully across organisations to allow strategic improvement work, is critical. The project team has needed to adopt differing approaches in each area and at times has faced challenges in obtaining consent to share anonymised data. This is indicative of a wider and more serious issue for effective integration.
As part of the fieldwork the project has bought together GPs and social workers to work side-by-side to review case notes. Many revealed that they had never had visibility of one another’s care plans before, nor were they aware of the range of services available. They were therefore unable to integrate their approaches to an individual’s care.
______________________________________________________________________
\\textsuperscript{26} www.yearofcare.co.uk \\textsuperscript{27} www.greatermanchester-ca.gov.uk/homepage/59/devolution
Efficiency opportunities through health and social care integration \<page_number>37\</page_number> To enable practical change to be planned and measured, data to be shared amongst partners must be operationally useful.
Addressing the challenge of information governance and sharing is both a system and a cultural issue – and requires leadership at both local and national levels. Leicestershire has made some notable initial progress in this area, bringing together health and social data to provide system-wide dashboards for interrogation²⁸. The next challenge for the authority will be rolling-out these tools at scale, to influence decision-makers. Sunderland has also made promising steps in this direction, with a clear case for change agreed by all parties and data-sharing agreements now in their final stages of development.
**2.3 Aligning leaders**
When identifying possible areas to involve in this project, the LGA and Newton spoke to leaders from 11 health and social care economies. In fewer than half of these was it possible to get all relevant leaders around the table to discuss the project. A number of leaders were unwilling to take a shared approach, or allow access to their data.
In some areas, integration appeared to be driven by one or two enthusiastic individuals. When considering the challenges of continual budget pressures and changes within each organisation, clearly a step-change will be required in the prioritisation of integration. This alignment of vision and direction is understandably a critical part of the successful change model.
Sunderland was ahead of most other areas when, in 2012, the local health and social care organisations agreed their intermediate care strategic direction. This strategy focused clearly on the need to target long-term independent outcomes and was signed up to by all parties. The vision articulated at the time was:
“To develop a locality focused collaborative model which maximises independence and quality of life for people of all ages, whilst ensuring cost-effective use of resources. We will ensure the individual and their carers/family are at the heart of their care and support, ensuring they have access to information, advice and support to promote real choice and control, increase self-care and self-management, and enable individuals and their carers to remain as independent as possible, for as long as possible.”
This alignment ensured that the authority in Sunderland was well placed to accelerate its changes as soon as the Better Care Fund was introduced. To date the authority has reduced admissions to residential nursing homes by 45 per cent through their whole systems interventions, particularly through the Recovery at Home service.
28 www.lsr-online.org/launch-event---14-october-2015.html
\<page_number>38\</page_number> Efficiency opportunities through health and social care integration 2.4 Questions for leaders to consider in developing an integrated model of health and care
Based on the findings and priorities outlined in this paper, a set of questions has been developed for leaders to consider in developing an integrated model of health and care.
**Figure 15 – questions for leaders to consider in developing an integrated model of health and care**
☐ Do we have an evidence base to show where the greatest opportunities exist in our system?
☐ Have we really prioritised where we are going to focus and have all parties signed up to this? What are we not going to do?
☐ Have we broken the programme down into phases to ensure sufficient focus and evidence of success can be maintained?
☐ Have we agreed simple, clear, yet specific system objectives and aligned each partner’s strategy to support the achievement of them?
☐ Do we have a simple mechanism to allow re-deployment of resources to the places required to support change?
☐ Are we using rapid pilots, iterating and proving solutions before rolling them out?
☐ Is our change led by front line staff and are we maximising the power of multi-disciplinary team reviews to control accurate decision-making?
☐ How are we going to rationalise the menu of service post implementation to make decision-making simpler, rather than more complex?
Efficiency opportunities through health and social care integration \<page_number>39\</page_number> <img>Local Government Association logo</img>
**Local Government Association** Local Government House Smith Square London SW1P 3HZ
Telephone 020 7664 3000 Fax 020 7664 3030 Email info@local.gov.uk www.local.gov.uk
© Local Government Association, June 2016
For a copy in Braille, larger print or audio, please contact us on 020 7664 3000. We consider requests on an individual basis.
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<img>A The National Archives logo</img> The National Archives
Incorporating Digital Continuity into your IT strategy
This guidance relates to: Stage 1: Plan for action Stage 2: Define your digital continuity requirements Stage 3: Assess and address risks to digital continuity Stage 4: Maintain digital continuity
This guidance should be read before you start to manage digital continuity. The full suite of guidance is available on The National Archives' website. Incorporating Digital Continuity into your IT strategy
<img>OGL logo</img>
© Crown copyright 2017 You may re-use this information (excluding logos) free of charge in any format or medium, under the terms of the Open Government Licence. To view this licence, visit nationalarchives.gov.uk/doc/open-government-licence or email psi@nationalarchives.gsi.gov.uk. Where we have identified any third-party copyright information, you will need to obtain permission from the copyright holders concerned. This publication is available for download at nationalarchives.gov.uk
February 2017 \<page_number>Page 2 of 12\</page_number> Incorporating Digital Continuity into your IT strategy
**Contents** 1 Introduction .................................................................................................................. 4 1.1 What is the purpose of this guidance ................................................................. 4 2 Digital continuity and your IT strategy ................................................................. 5 2.1 Why is embedding digital continuity in your IT strategy important ............... 5 2.1.1 It supports business continuity .................................................................. 5 2.1.2 It supports information assurance .............................................................. 6 2.1.3 It supports government agendas .............................................................. 6 3 Embedding digital continuity principles ................................................................. 7 3.1 Build digital continuity requirements in your technology lifecycle............. 7 3.1.1 Procurement / systems development ......................................................... 7 3.1.2 Decommissioning .................................................................................... 7 3.1.3 Interoperability ....................................................................................... 8 3.2 Understand and manage your IT services ........................................................... 8 3.2.1 Understand your requirements .................................................................. 9 3.2.2 Build comprehensive configuration management ........................................... 9 3.2.3 Manage your architecture .......................................................................... 9 3.2.4 Establish governance ............................................................................... 9 3.3 Streamline and standardise your technical environment .................................... 9 3.3.1 Review your use of open standards ............................................................ 10 3.3.2 Limit your use of different file formats ...................................................... 10 3.3.3 Reduce reliance on legacy technology ...................................................... 10 3.3.4 Reduce data volumes .............................................................................. 11 4 Next steps ....................................................................................................................... 12
February 2017 \<page_number>Page 3 of 12\</page_number> Incorporating Digital Continuity into your IT strategy
**1 Introduction**
Digital continuity is the ability to use your information in the way you need, for as long as you need.
If you do not actively work to ensure digital continuity, your information can easily become unusable. Digital continuity can be put at risk by changes in your organisation, management processes or technology. You need to manage your information carefully over time and through changes to maintain the usability you need.
Managing digital continuity protects the information you need to do business. This enables you to operate accountably, legally, effectively and efficiently. It helps you to protect your reputation, make informed decisions, avoid and reduce costs, and deliver better public services. If you lose information because you haven’t managed your digital continuity properly, the consequences can be as serious as those of any other information loss.
**1.1 What is the purpose of this guidance**
This guidance will support Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) to embed digital continuity into the organisation’s Information Technology (IT) strategy.
You should already understand the **basic principles of digital continuity** and recognise the need to manage this within your organisation. Your organisation may also have mapped the **technical dependencies of your information assets**. This guidance will support you in maintaining your digital continuity over time and through change, which is the final stage of our **four-stage process of managing digital continuity**.
Specifically, this guidance will help you to understand the principles to follow when including digital continuity in the planning and development of your IT infrastructure. It will reduce your chances of encountering digital continuity issues in the future, and ensure you are well placed to respond to changes in the way you need to use your information.
February 2017 \<page_number>Page 4 of 12\</page_number> Incorporating Digital Continuity into your IT strategy
**2 Digital continuity and your IT strategy**
Digital information is vulnerable at times of change. Your organisation relies on technology and systems to enable it to use its digital information as it needs to; providing the ability to find, open, use, understand and trust your information.
If your technology environment changes, your organisation may no longer be able to use its digital information in the way it needs. To maintain digital continuity, you must ensure your technology infrastructure is based on planned development and change, rather than ad hoc response to demand, new technology or changing business priorities.
However, establishing digital continuity in your existing IT strategies will also enable you to better respond to any changing requirements as they do arise, ensuring information does not become contained in silos and that you have the interoperability and flexibility necessary to meet these changing requirements.
**2.1 Why is embedding digital continuity in your IT strategy important**
It is difficult to restore continuity when it has been lost. Our [Managing Digital Continuity Loss](#) guidance can help you in these circumstances; however restoring continuity can be expensive and is not always possible. The best mitigation against losing your information is to manage the relationship between your information and technology well in the first place.
Your organisation needs to make a commitment in its IT strategy to support digital continuity: enabling the digital continuity Senior Responsible Owner (SRO) to plan and manage digital continuity, undertaking a digital continuity risk assessment and embedding digital continuity principles into the policies and processes covering your technical environment.
Digital continuity is also central to meeting your business continuity and information assurance requirements and supports government agendas.
**2.1.1 It supports business continuity**
To ensure business continuity, your organisation needs to plan for the ability to use its digital information over the long term. While business continuity involves planning for the restoration of access to key digital information following an incident, managing digital continuity also mitigates the risk to the degradation of your digital information over time and through change.
February 2017 \<page_number>Page 5 of 12\</page_number> Incorporating Digital Continuity into your IT strategy
**2.1.2 It supports information assurance**
Losing the ability to use your digital information in the way that you need to is an information risk like any other, and ensuring you can continue to use your information over time and through change is an important part of assuring and protecting it. Digital continuity forms part of the government’s [Information Assurance Maturity Model (IAMM)](https://www.gov.uk/government/publications/information-assurance-maturity-model).
Digital continuity guidance is available to support you to assure the availability and integrity of [digital information through business and technology change](https://www.gov.uk/government/publications/digital-information-through-business-and-technology-change).
**2.1.3 It supports government agendas**
IT strategies need to reflect that the way government is managing its services, producing and sharing information. It is important to reflect that the way that this information is being consumed is changing rapidly; for example, government emphasis on transparency and openness are reflected in the need to publish increasing amounts of public data. This makes it all the more important that you manage the digital continuity of your information; to ensure you can find, interrogate, trust, share, re-use and publish it as required. You should embed digital continuity principles into your IT strategy so that your organisation can take steps towards assuring the usability of its information.
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**3 Embedding digital continuity principles**
The following principles will help you to manage your IT strategy in a way that supports digital continuity:
**3.1 Build digital continuity requirements in your technology lifecycle**
Information has a lifecycle that is different to that of the technology in which it is created or stored. If you do not consider this and plan the development of your architecture around retaining the usability of your information, your technology may stop you working with your information when you need to, in the way that you need to.
The most important time to think about how you will need to use your information is before development or procurement; it is much more expensive and difficult (indeed, if possible at all) to fix these issues after development is complete or a product has been rolled out. There are three key issues to consider:
**3.1.1 Procurement/systems development**
Can you get information in to – and out of – the system, with its associated metadata? This may include user generated metadata, system metadata, audit logs etc.
You need to consider the following requirements **when developing or procuring new systems** – and ensure that any upgrades or fixes do not adversely impact on these:
- How does your organisation need to work with the information across its lifecycle and how will you ensure this?
- Can information be imported into or retrieved from the system during the normal operational lifecycle for use in other systems? (e.g. in some systems, standard metadata may be exported but user-generated metadata that was specific to the system does not get exported)
- Can you use open standards for your information?
- What interfaces do you need the system to provide to help you get at the information it holds?
- What are your performance requirements for getting information in and out of the system?
- Can you maintain the link with your metadata and audit information when moving information between systems or upgrading?
**3.1.2 Decommissioning**
Do you have digital continuity plans for each decommissioned system? This will need to include:
February 2017 \<page_number>Page 7 of 12\</page_number> Incorporating Digital Continuity into your IT strategy
- What information do you need to keep?
- What are your usability requirements?
- How are you going to ensure that usability requirements are met?
- Will you need to retain the full functionality for your legacy information, or can you use cheaper formats or applications with less continuity risk? (e.g. can you convert legacy information into PDF, or use rendering technology rather than full applications?)
- Can you use cheaper and more cost-efficient storage for the information you need to keep?
- How will you test for continuity after the change?
- Are you ensuring you dispose of information that is no longer required?
3.1.3 Interoperability You should consider interoperability across your IT environment, including technology supplied by third parties, to ensure that information can be transferred between systems to support business use and digital continuity. It is important that you consider digital continuity in Service level Agreements (SLAs)/contracts if using third party providers or Cloud services.
Also consider how you can ensure maximum interoperability with your current technology environment.
- For infrastructure technology, it may be worth using existing or highly standard software, and adapting your business processes to fit the technology. This will require less specialist support and knowledge and is likely to be more compatible with other systems
- For strategic technology (with a unique business benefit), complex or non-standard technology may be the most suitable option, implementing the exact business processes you want, but with reduced chance of interoperability with other systems
3.2 Understand and manage your IT services Your technology must support the provision of information that is complete, available and usable to the business. To maintain this, it is vital that you understand each of the elements of the technical environment which support its usability.
To monitor this, link your IT strategy to business services. You need to reflect these services in your technology lifecycle and technology architecture, and map them through an IT service catalogue.
The actions below will support you to monitor and manage your strategic priorities. You should:
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3.2.1 Understand your requirements You need to know what information is required by each business service and where that information is stored. You also need to understand the business value of that information. Use your Information Asset Register (IAR) to understand what information you hold and how the technology needs to support this.
This should also inform your technology decisions from the perspective of the organisation – e.g. at times of business change, development, upgrades, or new technology.
3.2.2 Build comprehensive configuration management A planned and managed IT service is more likely to deliver digital continuity than one that develops reactively over time. Ideally your organisation will work towards having a comprehensive configuration management database and single enterprise architecture.
For digital continuity purposes, this will document the relationships between your information and technology architecture, including dependencies, and making the impact of change easier to measure and manage. It will support you in implementing robust change management and configuration management, enabling you to maintain the usability of your digital information.
3.2.3 Manage your architecture Building an understanding of digital continuity and how you need to use your information over time into information architecture, technical architecture or a single enterprise architecture will enable the organisation to develop an IT environment which supports the business use of information across its lifecycle.
3.2.4 Establish governance To ensure you have digital continuity embedded in your IT policies and processes, you need to assign owners, ensure they are implemented and that you have a process in place to ensure compliance.
Also include Information Management (IM) professionals on change boards to ensure that the impact of change on the way the organisation can use its information is being considered.
3.3 Streamline and standardise your technical environment For many organisations, their technical environment has developed over time according to demand, new technology or changes in business priorities. Ad hoc growth often results in a diverse and complex technical environment that is difficult to manage and has not been planned to meet usability requirements, including interoperability between systems. This makes it increasingly difficult to ensure you are able to use your digital information as you need to, and that you are managing digital continuity through comprehensive change and configuration management.
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Reducing the complexity of your current technology infrastructure could mean:
- less complexity to manage over change
- reduced costs by disposing of unnecessary licences, support contracts and storage
- increased flexibility as standardised information and technology allow for greater interoperability
- less reliance on specialist knowledge and skills
3.3.1 Review your use of open standards Open standards enable the transfer of information between systems more easily and broaden the choice of technology available, avoiding lock-in to proprietary formats. This provides flexibility for the sharing and significantly increases the likelihood that your information can be used in the future.
The Cabinet Office has issued guidance on [the use of open standards in government](https://www.gov.uk/government/publications/the-use-of-open-standards-in-government).
Open standards may not always be the most appropriate choice for your business function; however you should always ensure that your information standards are as open, commonly used or standardised as possible.
3.3.2 Limit your use of different file formats Reducing the complexity of the IT environment by minimising the number of systems, applications and formats in use will reduce overheads, make change easier to manage and improve interoperability. Active management of file formats used by your organisation, including maintaining a file format policy that identifies the recommended or enabled file formats, will help you to:
- maintain control over your IT environment
- ensure that applications are in place to provide ongoing access to all information
- more effectively plan for file format migration and conversion when necessary
3.3.3 Reduce reliance on legacy technology Legacy technology increases risk to digital continuity because it reduces your ability to respond to change, making it increasingly difficult and costly to maintain and resolve issues that arise. It also tends to be harder to extract information from legacy technology, often held in non-standard formats or structures. The longer legacy technology is left in place, the higher the risks and harder it will be to move away from.
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Consider limiting your use of legacy formats, especially those which may be going out of support. You should consider this in conjunction with representatives from the IM function in order to ensure that you are applying the right level of digital continuity according to the business need.
You may still need full functionality from your legacy formats, for example maintaining the ability to edit, change or re-use the information. If this is the case, consider the costs, benefits and risks associated with conversion against the cost and risk of continuing to support the full application. In many cases it will be sufficient to use viewer (or rendering) technology rather than the full application, which reduces the risks to digital continuity and is cheaper.
3.3.4 Reduce data volumes Managing your data effectively and removing unnecessary information will reduce your overall volumes. This will make it easier for your organisation to find and manage the information it needs and reduce costs and complexity associated with maintaining its digital continuity over long periods. It will also reduce your storage costs and consume less energy in heating and cooling your servers, supporting you to meet the green agenda. If you use a third party IT storage supplier, you may find that cost savings are reflected at the time of re-contracting.
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**4 Next steps**
Now you have recognised the need to embed digital continuity in your IT strategy, you need to ensure that this is reflected in the right places. You will need to embed digital continuity into relevant business plans, procurement policies, architectures, requirements and specifications, checklists for introducing and decommissioning technology, change and risk management policies and strategies. You must ensure these have ownership at the correct levels and compliance is monitored.
You also need to talk to your IM team and reference their strategies for digital continuity within your own technology strategy and processes, ensuring cohesion.
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<table>
<thead>
<tr>
<td colspan="5">LCPG Contacts</td>
</tr>
<tr>
<td>District / Area</td>
<td>Name</td>
<td>Role</td>
<td>Contact Details</td>
<td>Notes</td>
</tr>
</thead>
<tbody>
<tr>
<td>Dartford</td>
<td>Councillor Ann Allen</td>
<td>Chair</td>
<td>Ann.Allen@kent.gov.uk</td>
<td></td>
</tr>
<tr>
<td>Gravesham</td>
<td>Councillor Alan Ridgers</td>
<td>Chair</td>
<td>Alan.Ridgers@kent.gov.uk</td>
<td></td>
</tr>
<tr>
<td>Swale</td>
<td>Councillor Ken Pugh</td>
<td>Chair</td>
<td>Ken.Pugh@kent.gov.uk</td>
<td></td>
</tr>
<tr>
<td>North Area</td>
<td>Christine Kelly</td>
<td>Vice Chair</td>
<td>Christina.Kelly@kent.gov.uk</td>
<td>Service Manager, Open Access</td>
</tr>
<tr>
<td>North Area</td>
<td>Colin Green</td>
<td>Coordinator</td>
<td>colin.green@kent.gov.uk</td>
<td>Area Partnership Manager</td>
</tr>
<tr><td colspan="5"></table>
<table>
<thead>
<tr>
<th>District / Area</th>
<th>Name</th>
<th>Role</th>
<th>Contact Details</th>
<th>Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td>Canterbury</td>
<td>Councillor Mark Dance</td>
<td>Chair</td>
<td>Mark.Dance@kent.gov.uk</td>
<td></td>
<tr>
<td>Thamet</td>
<td>Councillor Lesley Game</td>
<td>Chair</td>
<td>Lesley.Game@kent.gov.uk</td>
<td></td>
<tr>
<td>East Area</td>
<td>Nick Moor</td>
<td>Vice Chair</td>
<td>nick.moor@kent.gov.uk</td>
<td></td>
<tr>
<td>East Area</td>
<td>Jenny Hanna</td>
<td>Coordinator</td>
<td>jenny.hanna@kent.gov.uk</td>
<td></td>
<tr><table><thead><tr><th>District / Area</th><th>Name</th><th>Role</th><th>Contact Details</th><th>Notes</th></thead><tbody><tr><th>Ashford</th><th>Councillor Mike Angell<br/>Dover<br/>Councillor Derek Murphy<br/>Folkestone & Hythe<br/>South Area<br/>South Area<br/>West Area<br/>District / Area<br/>Maidstone<br/>Sevenoaks<br/>Tunbridge Wells<br/>Tonbridge and Malling<br/>West Area<br/>West Area<br/></th><th>Councillor Gary Cooke<br/>Councillor Peter Lake<br/>Councillor Sarah Hamilton<br/>Councillor Matthew Balfour<br/>Tim O'Brien<br/>Amitul Uzma<br/></th><th>Chair<br/>Chair<br/>Chair<br/>Chair<br/>Vice Chair<br/>Vice Chair<br/>Coordinator<br/>Chair<br/>Chair<br/>Chair<br/>Chair<br/>Coordinator<br/></th><th>Gary.Cooke@kent.gov.uk<br/>Peter.Lake@kent.gov.uk<br/>Sarah.Hamilton@kent.gov.uk<br/>Matthew.Balfour@kent.gov.uk<br/>Tim.O'Brien@kent.gov.uk<br/>Amitul.Uzma@kent.gov.uk.</th></tr></tbody></table></tr></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table></tbody></table>/tbody/></table>/tfoot/></html>
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<img>ORR OFFICE OF RAIL REGULATION logo</img>
**Approvals committee – February 2011**
1. Since the last Board meeting, our approval committee has met on 16 February 2011 to consider applications requiring approval of consultancy contracts over £20,000 and all external recruitment.
2. The cases considered are listed below:
<table>
<thead>
<tr>
<th>Meeting date</th>
<th>Ref: No. & directorate</th>
<th>Summary of application</th>
<th>Consultancy/recruit</th>
<th>Committee Decision</th>
</tr>
</thead>
<tbody>
<tr>
<td>16 February 2011</td>
<td>85 Legal Services</td>
<td>Appointment of senior legal advisor</td>
<td>Recruitment</td>
<td>Approved</td>
</tr>
<tr>
<td>16 February 2011</td>
<td>89 RME</td>
<td>On-rail competition study £130,000</td>
<td>Consultancy</td>
<td>Approved</td>
</tr>
<tr>
<td>16 February 2011</td>
<td>90 CS</td>
<td>Follow up to board effectiveness/senior recruitment support £26,100</td>
<td>Consultancy</td>
<td>Approved</td>
</tr>
</tbody>
</table>
Further details of any of the above applications and decisions are available from Brian Warner.
3. The committee were also provided with details of any applications below £20,000 which are subject to approval by the director of corporate services. There have been three applications approved totalling £31,500k.
4. The committee also met on 1 February to consider one tender in excess of the OGC approved rate card. This was approved after clarification.
Doc # 407524.01
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<img>ORR OFFICE OF RAIL AND ROAD</img>
**Consultancy spend exceptions – August 2015**
During **August 2015**, the following exceptions to the consultancy freeze above £20,000 have been considered by the Chief Executive in his capacity as Accounting Officer; and the requests for consultancy below £20,000 have been considered by the Director of Corporate Operations.
<table>
<thead>
<tr>
<th>Approval date</th>
<th>Ref. No. & Directorate</th>
<th>Summary of application</th>
<th>Decision</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>05/08/2015</strong></td>
<td><strong>66C CO*</strong></td>
<td>Development of a business case for implementation of Sharepoint as a document management and case management system, £20,000</td>
<td>Approved</td>
</tr>
<tr>
<td><strong>12/08/2015</strong></td>
<td><strong>67C Legal**</strong></td>
<td>Scottish legal advice in relation to a response to an individual complaint, £5,000</td>
<td>Approved</td>
</tr>
<tr>
<td><strong>24/08/2015</strong></td>
<td><strong>68C RME***</strong></td>
<td>Model audit of East Coast access analysis, £30,000</td>
<td>Approved</td>
</tr>
</tbody>
</table>
\*Procurement for this project did not go ahead \*\*Approved by Associate Director of Finance and Governance in the Director of Corporate Operation’s absence \*\*\*Approved by Director of Economic Regulation in the Chief Executive’s absence
\<page_number>10213108\</page_number>
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<img>A The National Archives logo</img> The National Archives Education Service
English Language GCSE - Places Using images for descriptive and narrative writing.
INF9-535 Stamford, Lincolnshire English Language Using images for descriptive and narrative writing
# Contents
**Teacher's notes** 3
COPY1/461/577 Collapse of cliff by the Lord Nelson Public House at Lowestoft 1903 5 A man peers over the edge of a cliff which has eroded to the door of the Lord Nelson Public House.
COPY1/463/199 Burning of Cleethorpes pier, 1903 7 Photograph of the burning of Cleethorpes Pier, June 1903
COPY1/460/87 Men descending by aerial railway at Beachy Head lighthouse, 1903 9 A group of men photographed as they take the aerial railway to the Beachy Head lighthouse.
COPY 1/454/252 Market day, Taunton, 1902 11 Photograph of Market Day on the Parade, Taunton, taken from Market House
COPY 1/376/116 Whitby Abbey, 1886 13 A view of Whitby Abbey with pond and cattle across foreground, 1886.
DSIR4/3628 Damage to structures by flood and gales during winter 1952-53 15 A house showing substantial damage after the winter storms of 1952-53.
COPY1/375 (67) Boat, house and windmill, Countryside scene, P H Emerson, 1886 surveys, 1953-1954 17 A couple boating on the river in front of a house and windmill.
INF9/706 St Ives, Cornwall, 1930s 19 A view of St Ives, Cornwall, from the water in the 1930s.
INF9/683 Blackpool Pleasure Beach, Big Dipper and Boating Pool, 1930s 21 A view of Blackpool's rides and boating pool from the water in the 1930s.
\<page_number>2\</page_number> English Language Using images for descriptive and narrative writing
# Teacher's notes
This collection of photographs from The National Archives' image library has been collated to provide a resource for English Language GCSE. The images can be used for descriptive or narrative creative writing prompts, allowing students to consider a variety of historical scenes as inspiration for their writing.
Each image has been presented as a full page spread before key areas have been extracted for close detail description and prompts for the imagination. These pages can be used as a ready-made resource or adapted to suit your own classroom purposes.
A generic question page has also been provided to allow students to focus on their own details within the photographs, rather than those pre-selected.
Whilst the resources have been designed with the English Language GCSE in mind, they can be used for other age groups to develop imagination when considering character and description.
Each image has been provided with its original document reference and description to offer some context to the image if desired, such as time period and location. However, the descriptions are deliberately brief and there are no correct answers required in creative writing. The photographs are presented as prompts only and students are not required to write creatively about actual historical places, figures or events.
Viewfinders
Some students may find a viewfinder useful when trying to describe an image. Cut out a piece of paper of card in a shape similar to the one below. Students can then move this around the photograph to discover smaller interesting scenes to describe without the distraction of the rest of the detail. Only when they feel they have described the smaller scene in depth should they move on to select another area of the image.
<img>A simple viewfinder shape made from paper.</img>
\<page_number>3\</page_number> English Language Using images for descriptive and narrative writing
**Questions**
What can you see?
Where might this be?
Why might this photograph have been taken?
What happened just before the photograph was taken?
What happened just after the photograph was taken?
\<page_number>4\</page_number> English Language Using images for descriptive and narrative writing
COPY1/461/577 Collapse of cliff by the Lord Nelson Public House at Lowestoft 1903
<img>A black and white photograph showing a coastal scene with a cliff face on the left, a sandy beach in the foreground, and several buildings along the coast. The buildings have signs that read "The Lord Nelson" and "Lord Nelson." The sky is clear.</img> English Language Using images for descriptive and narrative writing
COPY1/461/577 Collapse of cliff by the Lord Nelson Public House at Lowestoft 1903
What can the man leaning over the edge see? What might he be feeling? What can he hear? What about the other people in the picture?
The earth has settled at the bottom of the cliff, what sound might it have made when it fell? What smell might it have? What does it look like from the beach or above?
The house at the end of the row is less affected. What might you see from the windows? Can you describe the way it sits compared to the pub next door?
\<page_number>6\</page_number> English Language Using images for descriptive and narrative writing
COPY1/463/199 Burning of Cleethorpes pier, 1903 English Language Using images for descriptive and narrative writing
COPY1/463/199 Burning of Cleethorpes pier, 1903
<img>A black and white photograph showing a large fire on a pier with smoke billowing out. People are gathered at the bottom of the pier.</img>
Can you describe the smoke – what does it look like? What might it smell like? What shape it is?
Can you describe the pier – what is it made of? What shapes can you see? What might it feel like if you stood on it? Does it make any noise walking along it?
There are crowds of people all over the bottom of the photograph. What might it feel like to be amongst them? What might they be saying? What might they be trying to do?
\<page_number>8\</page_number> English Language Using images for descriptive and narrative writing
COPY 1/460/87 Men descending by aerial railway at Beachy Head lighthouse, 1903 English Language Using images for descriptive and narrative writing
COPY 1/460/87 Men descending by aerial railway at Beachy Head lighthouse, 1903
<img>A black-and-white photograph showing men in a railway carriage ascending a cliff face.</img> How many people are within the railway carriage? What might they be feeling on their journey? What can they see?
Can you describe the shape of the cliff face? What does it look like? What colour is the stone?
<img>A black-and-white photograph showing a lighthouse sitting in the sea with a landing station attached to its base.</img> Can you describe the way the lighthouse sits in the sea? What might you be able to see from the top of the tower? How would you get from the landing station to the lighthouse?
\<page_number>10\</page_number> English Language Using images for descriptive and narrative writing
COPY 1/454/252 Market day, Taunton, 1902 English Language Using images for descriptive and narrative writing
COPY 1/454/252 Market day, Taunton, 1902
There are flags flying on the rooftops, can you describe the weather? What noise might the flags make?
In the crowd there is a group of boys, a lady shopping and a very smartly dressed man. What might they be doing? How might they interact?
What types of products are for sale at the market? What sounds, smells, flavours and colours might there be? How might the market sellers make sure they sell their products?
\<page_number>12\</page_number> English Language Using images for descriptive and narrative writing
COPY 1/376/116 Whitby Abbey, 1886 English Language Using images for descriptive and narrative writing
COPY 1/376/116 Whitby Abbey, 1886
What is the abbey made from? What shapes can you see? What place does the ruin have in the landscape?
The abbey is reflected in the water – can you describe this? Is the water calm or broken? What atmosphere might the place have?
There are cows in the foreground of the picture – who might use this landscape. Does this match up with the state of the church? How do the two elements fit together?
\<page_number>14\</page_number> English Language Using images for descriptive and narrative writing
DSIR4/3628 Damage to structures by flood and gales during winter 1952-53
<img>A black and white photograph of a house with a damaged roof and exterior. A man stands at the entrance, looking out. There is debris and construction materials around the house.</img> English Language Using images for descriptive and narrative writing
DSIR4/3628 Damage to structures by flood and gales during winter 1952-53
What damage can be seen on the left hand side of the building? Can you see the figure in the window? What are they looking at? How do they feel standing inside the house?
The right side of the house was completely destroyed. Can you describe what is left? How might the man feel stood inside?
The rest is rubble and dirt. Can you describe what you can see in this section of the picture? Try to use the senses to add detail.
\<page_number>16\</page_number> English Language Using images for descriptive and narrative writing
COPY 1-375 (67) Boat with house and windmill in the background, Countryside scene, P H Emerson, 1886 surveys, 1953-1954 English Language Using images for descriptive and narrative writing
COPY1-375 (67) Boat with house and windmill in the background, Countryside scene, P H Emerson, 1886 surveys, 1953–1954
Focus on the cottage and the windmill– how does it move? Does it make noise? Can you describe it?
What do the couple in the boat look like? What temperature is it there? How do you know? Look at the water – what is the weather like?
What time of year is it? How do you know? How do the buildings fit into the landscape? What emotions are created by the scene?
\<page_number>18\</page_number> English Language Using images for descriptive and narrative writing
INF9-706 St Ives, Cornwall, 1930s English Language Using images for descriptive and narrative writing
INF9-706 St Ives, Cornwall, 1930s
What can you see? What is going on? What is the weather like? How can you tell?
How crowded together are the buildings? Can you spot the people? Can you see a flag? Describe the scene using the different senses.
What kind of town is this? What industry do most people work in? Are the people rich or poor? What view might you have from the windows of the houses?
\<page_number>20\</page_number> English Language Using images for descriptive and narrative writing
INF9-683 Blackpool Pleasure Beach, Big Dipper and Boating Pool, 1930s
<img>A black and white photograph of Blackpool Pleasure Beach, featuring the Big Dipper and Boating Pool. The structure of the Big Dipper is prominently visible, with its large, circular base and the ride itself extending upwards. The Boating Pool is also visible, with several boats on the water. The background shows a bridge-like structure, possibly part of the amusement park's infrastructure.</img> English Language Using images for descriptive and narrative writing
INF9-683 Blackpool Pleasure Beach, Big Dipper and Boating Pool, 1930s
<img>A black and white photograph of the Big Dipper rollercoaster at Blackpool Pleasure Beach.</img> Can you describe the Big Dipper? What does it look like? How might it feel to ride the rollercoaster?
Take a look at this section of the scene. How old are the people in the boat? What kind of boat is it? What sights, sounds and smells might they be experiencing?
<img>A black and white photograph of a group of people in a rowboat on the water.</img> What can you see in the rest of the image? What emotions might the people in the picture be feeling?
\<page_number>22\</page_number>
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www.effective-states.org
<img>esid Effective States and Inclusive Development identifying routes to social justice</img>
ESID Working Paper No. 146
**Carrot, stick and statute: Elite strategies and contested dominance in Kampala**
Nansozi K. Muwanga¹, Paul I. Mukwaya² and Tom Goodfellow³
June 2020
¹ Department of Political Science and Public Administration, Makerere University, Kampala, Uganda. Email correspondence: pmukwaya@gmail.com ² Department of Geography, Geo-informatics and Climatic Sciences, Makerere University, Kampala, Uganda. Email correspondence: snansozii@gmail.com ³ Department of Urban Studies and Planning, University of Sheffield, UK Email correspondence: t.goodfellow@sheffield.ac.uk
ISBN: 978-1-912593-56-9
email: esid@manchester.ac.uk Effective States and Inclusive Development Research Centre (ESID) Global Development Institute, School of Environment, Education and Development, The University of Manchester, Oxford Road, Manchester M13 9PL, UK www.effective-states.org Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
Abstract Although Yoweri Museveni’s National Resistance Movement (NRM) has dominated Uganda’s political scene for over three decades, the capital Kampala refuses to submit to the NRM’s grip. As opposition activism in the city has become increasingly explosive, the ruling elite has developed a widening range of strategies to try and win urban support and constrain opposition. In this paper, we subject the NRM’s strategies over the decade 2010-2020 to close scrutiny. We explore elite strategies pursued both from the ‘top down’, through legal and administrative manoeuvres and a ramping up of violent coercion, and from the ‘bottom up’, through attempts to build support among urban youth and infiltrate organisations in the urban informal transport sector. Although this evolving suite of strategies and tactics has met with some success in specific places and times, opposition has constantly resurfaced. Overall, efforts to entrench political dominance of the capital have repeatedly failed; yet challenges to the regime’s dominance have also been unable to weaken it in any sustained way. We examine why each strategy for dominance has produced limited gains, arguing that together these strategies reproduced a situation of intensely contested control, in which no single group or elite can completely dominate the city.
Keywords: Uganda, political repression, co-optation, urban administrative reform, conflict, protest, urban youth
Muwanga, N. K., Mukwaya, P. I. and Goodfellow, T. (2020) Carrot, stick and statute: Elite strategies and contested dominance in Kampala. ESID Working Paper No. 146. Manchester, UK: The University of Manchester. Available at www.effective-states.org
\<page_number>2\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
**1. Introduction**
President Yoweri K. Museveni seized power in 1986, following a five-year protracted guerrilla war in Uganda. For his first decade in power, his stated commitment to democracy through a ‘no-party’ Movement system, in which anyone could stand for office, achieved wide international admiration. So, too, did an apparently deep system of political decentralisation aimed at transforming the system of ‘resistance councils’ that evolved during the civil war into a five-tier system of local government and, as donor resources flowed into Uganda, the country became internationally renowned for radical improvements in governance. By the late 1990s and early 2000s, perceptions of the National Resistance Movement (NRM) government began to change. The 2001 and 2006 elections were marred by significant manipulation and violence, signalling a change in NRM politics and the sense that, having successfully established dominance in the first decade of its rule, the regime was seeking to maintain this order at all costs. Through a wide range of strategies and tactics, the NRM elite has maintained its dominance of the political scene in the face of an increasingly organised and youthful opposition. By 2020, having held power for 34 years, Museveni is among the longest standing current rulers in Africa, representing one of the most remarkable stories of continued dominance by a particular ruling elite in modern times (outside of communist one-party systems).
This undeniable dominance has, however, never fully extended to the capital city. Kampala has stubbornly resisted submitting to the NRM’s political grip for over three decades, despite both overt and covert attempts to control it. The political and economic significance of Kampala, which is the administrative and political capital, as well as focal point of oppositional politics and youth organisation, cannot be overstated. As the city population has grown and Uganda gradually continued to urbanise, the NRM has shifted from largely ignoring the city – focusing instead on its rural heartlands – to a range of strategies and tactics to increase its influence and control in Kampala, and increasingly also in the surrounding Wakiso District (Kafero 2017). Though present for over two decades now, threats to elite dominance in the city have become even more pronounced since 2017, with the emergence of Robert Kyagulanyi (aka Bobi Wine) as a major political figure with an urban support base.
Despite its failure to successfully dominate the city politically, the regime’s challengers in Kampala have also never managed to weaken central control over urban governance and resources in any sustained way. In exploring the varying strategies that the ruling elite has used to try and dominate Kampala, this paper therefore considers why the city remains a space of continually contested – but not substantially weakened – central control. We explore three particular strategic approaches to analyse the regime’s efforts to control the city, and how these have been responded to by urban populations, with a particular focus on the decade 2010-2020. The first involves a range of high-level efforts to co-opt and coerce opposition politicians, with growing attention to politicians whose key roles and support base are in the capital city. The second involves efforts to control the city by administrative means, deploying
\<page_number>3\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
legislative manoeuvres and institutional restructuring to do so. The third focuses on the co-option and manipulation of urban youth, using money and other incentives to try and engineer support for the NRM. We explore the underlying rationale for these strategies as they have evolved over time, and examine how and why each approach has only produced limited gains, ultimately reproducing a situation of intensely contested control, in which no single group or political force completely dominates the city.
This paper is part of a broader comparative study funded by the Effective States and Inclusive Development Research Centre, the conceptual framing for which is provided in the paper by Goodfellow and Jackman (2020). Our study used a combination of methods, including: (1) a review of relevant literature and policy and legal documents, including government bills and acts such as the Kampala Capital City Authority (KCCA) Act, 2010 and subsequent 2015 amendments, and Court applications and judgements; (2) consulting both national and international print and electronic media, to understand the key underlying urban dynamics and political positions, interests, and contestations among key actors in the city; and (3) conducting key informant interviews with key actors and interest groups in the city. The interviews were conducted in 2018 and 2019 and included top political leaders in the city, such as members of parliament (Kampala City Parliamentary Caucus, Presidential Affairs Committee of Parliament, Shadow Minister for Local Government), the lord mayor, lord councillors, the Office of the Executive Director, the office for the minister of Kampala and metropolitan affairs, Uganda police force, boda-boda (motorcycle taxi) drivers, and specific youth groups in Kampala City and surrounding municipalities that have caught the attention of the president and received cash or other favours. We also drew on some earlier interviews by the authors.
2. From democratic high hopes to entrenched dominance: the evolution of Uganda’s national political settlement
2.1 A timeline of dominance In his autobiography, Sowing the Mustard Seed (1997), Museveni contends that the NRM had only two fundamental roles on taking power in 1986: the first was to lay a firm foundation and prepare the ground for security and political stability; and the second was to ensure orderly succession of political authority. The security situation in Uganda improved dramatically after the NRM’s victory, with Kampala, the central business centre and capital city, being the first to recover from the aftermath of the protracted bush war. The rest of the country took a little longer, particularly the Luweero Triangle that had been at the heart of the conflict between the Ugandan army and the National Resistance Army. Security in Northern Uganda was severely disrupted from 1989, with the emergence of the Lord’s Resistance Army (LRA) resulting in a 20-year civil war in the North.
Despite the continuing conflict in the North, the establishment of security elsewhere meant that for the first decade of his rule, Museveni and the NRM were generally
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popular, with the war-weary population both at home and abroad. His initial reconstruction programme – especially economic recovery measures, gender equality initiatives, education and the fight against HIV/AIDS – met with considerable success and approval. Several authors note that Museveni provided donors seeking an African success story with an intellectually sophisticated yet compliant partner (Hansen and Twaddle 1998; Kuteesa et al. 2010; Tripp 2010). His invention of a ‘ho-party’ system that involved deep democratic principles, but without divisive party politics, was innovative and initially widely accepted as sensible, in the context of Uganda’s violent recent past that had heightened ethnic, regional and religious divisions (Mugaju and Oloka-Onyango 2000; Carbone 2008). Meanwhile, the decision to reconstitute most of the ancient Kingdoms in 1993, albeit in a purely ‘cultural’ role, also ensured support in Central and Western Uganda.
By the mid-1990s, there were signs that the ‘honeymoon’ period was over, as discontent grew over the no-party system, land reform, and continuing instability in Northern Uganda. Despite evidence of democratic impulses, with the introduction of the country’s new constitution in 1995 and increased assertiveness of the legislature and media (Nakamura and Johnson 2003; Keating 2011), democratic accountability was waning: NRM hegemony was now firmly entrenched, alongside corruption, clientelism and increased ethnic exclusion (Mwenda and Tangir 2005; Rubongoya 2007; Tripp 2010). The initially ‘broad-based’ nature of the NRM coalition, which involved significant ethnic diversity, demonstrably narrowed over time (Lindemann 2011). The decade 1995-2005 typifies the ‘push and pull’ of politics under Uganda’s ‘hybrid’ regime (Tripp 2010), whereby growing democratic capacities in society and the enhancement of some formal democratic institutions were simultaneously responded to by new forms of authoritarian manipulation and exclusion (Goodfellow 2014).
These tensions became even more apparent after 2005, when the opening up of party competition was used by Museveni as a bargaining chip to remove presidential term limits, to enable himself to stand for a third term in the 2006 elections. For many previous supporters, this was the ultimate betrayal of his early democratic promise (Kobusingye 2010) and seemed to confirm his intention to be ‘president for life’. Museveni also found new ways to strengthen the hand of the executive, with parliamentary powers to vet ministerial appointments and censure ministers being reduced, and new presidential powers to dissolve parliament introduced (Kasfir and Twebaze, 2009; Keating, 2011). From 2005, Museveni’s main opposition within the NRM then became the country’s most powerful opposition force, in the form of the Forum for Democratic Change (FDC), led by his former ally Kizza Besigye. In an election marred by violence and intimidation (including the arrest and temporary imprisonment of Besigye on charges of treason and rape), Museveni secured 59 percent of the vote to Besigye’s 37 percent.
In 2011, Museveni stood yet again and was re-elected by a landslide, gaining 68 percent of the vote against Besigye’s 28 percent. Alongside the drop in the opposition’s share of the vote – including in Kampala – was the significant (and unexpected) decrease in pre-election violence. This demonstrated that the dominance of
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Museveni's ruling coalition was not only as strong as ever, but did not rely on coercion alone, and that the NRM continued to enjoy widespread support across wide parts of the country – even if much of this depended on rural 'vote-buying' (Mwenda 2011). Besigye launched a post-election campaign of demonstrations in Kampala – where he had won a majority of the votes, despite his decreased share, which evolved into a broader protest over food and fuel prices, known as the 'walk to work' protests. However, due to the lack of a clear overall political agenda on the part of the opposition, combined with an astute combination of 'carrot' and 'stick' tactics explored more below, these lost momentum and eventually fizzled out (Goodfellow 2013).
By the time of the 2016 elections, Museveni's ruling coalition was 'not even faking it any more' (Abrahamsen and Barebee 2016), with his victory a foregone conclusion. Predictable patterns of intimidation and misconduct were associated with an election that closely mirrored the 2006 result, with Museveni winning 61 percent to Besigye's 35 percent. As in previous elections, the failure of the opposition to forge a sustained coalition contributed to its inability to dent the NRM's position (Beardsworth 2017). Following his 2016 election victory, Museveni wasted no time in moving to amend the constitution to remove the age limit of presidential candidates, paving the way to run for a sixth term in 2021. According to Article 105(2) of the 1995 Constitution, Museveni would have been able to run for a maximum of just two terms. Yet, as Figure 1 shows, he has repeatedly contradicted himself and, in engineering the 2005 amendment, provided for limitless presidential terms, at any age.
**Figure 1:** Different times, different messages: Contradictory messages from President Museveni to the general public
<table>
<thead>
<tr>
<td></td>
<td>1986<br>FOUR MORE YEARS<br>THE NRM<br>government shall<br>hold office for a<br>period not exceeding four<br>years from 26<br>January 1990.<br><br>Expansion of the<br>NBC through<br>indirect elections<br>with enough money or<br>a full national ballot<br>with most of<br>Luganda still<br>largely<br>impassable'</td>
<td>1988<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br></td>
<td>1995<br>Retire at 55<br>I will not be in<br>puzzle any more, I told you this when I was 48. I'm ready to<br>serve Uganda and Africa in<br>public life up to the age of 55.</td>
<td>2000<br>'I am the only one<br>with a vision for<br>Uganda. I do not<br>lay a firm hand and<br>prepare the ground for<br>security and order,<br>and ensure orderly<br>succeesion of<br>political authority.'</td>
<td>2005<br>Lifting of term limits. In 2005,<strong>term limits</strong> were scrapped after the bribing of MPs with Shs 5 million.</td>
<td>2017<br>Removal of Age Limit provisions for presidential candidates in Article 102(b) of the National Constitution.</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>FOUR MORE YEARS</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>The NRM government shall hold office for a period not exceeding four years from 26 January 1990.</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Expansion of the NBC through indirect elections with enough money or a full national ballot with most of Luganda still largely impassable.</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td>'I am the only one with a vision for Uganda. I do not lay a firm hand and prepare the ground for security and order, and ensure orderly succeesion of political authority.'</td>
<td>Lifting of term limits. In 2005, term limits were scrapped after the bribing of MPs with Shs 5 million.</td>
</tr>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>Removal of Age Limit provisions for presidential candidates in Article 102(b) of the National Constitution.</td>
</tr>
</tbody>
</table>
The similarity in Museveni's vote share in 2006 and 2016 suggests that NRM dominance is deeply embedded, and that the political work of the ruling elite in achieving ongoing dominance is deep, highly sophisticated and always evolving. We
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now examine the general processes underpinning this at the national level in more detail.
**2.2 Underlying processes for the building, consolidation and maintenance of dominance**
Establishing dominance has been a well-calculated strategy on the part of the government, which started with the creation of the local council system during the guerrilla war against the second Obote government. Museveni’s National Resistance Army (NRA) established resistance councils¹ (RCs), which were later renamed local councils (LCs) in the villages under its control and other similar structures in contested areas. Originally designed as support structures for the NRA fighters, the RCs grew into a model for what was viewed as ‘popular democracy’, when the NRA transitioned into the NRM on coming to power in 1986 (HRW, 1999).
In 1996, the Uganda Parliament initiated a process to have a number of non-elected parliamentary seats, reserved for the army and other government sectors and special interest groups, such as youth and persons with disabilities, as well elected seats specifically for women. These ‘strong’ affirmative actions, aimed at raising the profile of marginalised groups, have tended to produce members of parliament that are NRM-leaning. Appointed resident district commissioners (RDCs) also play an important role in many districts, controlling the electoral colleges representing these special interest groups, as well as administering the political mobilisers in each district and the party schools (HRW, 1999).
The Movement Act of 1997 created a second set of structures that duplicated the local council structures which exist at the village, parish, sub-county, division and district levels. In addition to these structures, the NRM has the National Movement Conference and a permanent secretariat. The Movement Act ensured that the NRM was represented at the lowest village levels, giving it a strong political advantage, which put it ‘way ahead of the pack’ when multi-party politics was reinstated in 2005. Alongside these measures, during its early years, the NRM party used ‘Chaka-mchaka’, a political education and military science course, as an additional tool to increase its political control. The course, primarily aimed at civil servants and graduating high school students, was viewed by sceptics as political indoctrination that blamed political parties for Uganda’s past political problems, further entrenching the ‘no party’ movement system, with long-term consequences for the legitimacy of political science education.
In addition, the NRM has used election processes itself to embed itself ‘normatively and conceptually’ as well as organisationally among the population at large, and to inculcate local cultures of securitisation that consciously or unconsciously remind people of the chaos preceding it (Vokes and Wilkins 2017: 582). Museveni employs a
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¹ These structures were loosely based on the neighbourhood committees organised in the ‘liberated zones’ of Mozambique by the Front for the Liberation of Mozambique (FRELIMO) in the late 1960s (HRW, 1999).
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range of informal governance mechanisms and 'soft' forms of power, including his apparent personal responsiveness to popular concerns and his 'tours' of deprived areas, alongside relatively effective technocratic governance in some sectors. This interweaving of formal and informal governance mechanisms is, in Goloboa-Mutebi and Hickey's (2017) analysis, central to keeping different constituencies onside and continuing to win elections. The president explicitly reminds his critics during rallies that, being a good politician, he should keep changing tactics to outmanoeuvre adversaries.²
Our question in this paper is how these different strategies and manoeuvres come together in the context of Kampala, where the ruling coalition faces growing challenges to its rule and a distinct political environment requiring different strategies from the rural NRM heartlands (Vokes and Wilkins 2017). In the next section, we consider Kampala's role within the national political context outlined above.
3. The role of Kampala
Although not the capital city during the colonial period (which was based in nearby Entebbe on Lake Victoria), Kampala was sited next to the historical capital of the Buganda Kingdom at Mengo and became the economic core of the Uganda Protectorate by the 1940s. In accordance with the 1909 Buganda Agreement, initiated under British colonialism, around half of the land in the Kingdom of Buganda was given as 'malo' land (a form of freehold) to the Kabaka (king) and other Buganda landlords, with the rest being designated as 'crown land'. Kampala became the capital city at Independence in 1962, and its boundaries were expanded substantially in 1967, to include Mengo municipality itself. The system of dual land ownership (with crown land reconstituted as state land) persisted through the post-colonial period and into the NRM era. Under the NRM's celebrated decentralisation policy, Kampala was designated the only official 'city' in Uganda in administrative terms, with Kampala City Council (KCC) being equivalent to a District (LC5). As such, until the radical governance overhaul of 2011, KCC had substantial autonomy under Uganda's decentralised system. Under this framework, 80 percent of services were devolved to KCC; everything in the city except national roads, secondary and tertiary education were under its jurisdiction.
Kampala is the undisputed commercial and economic as well as administrative capital of Uganda. It was named the 13th fastest growing city on the planet, with an annual population growth rate of 4.03 percent for the period 2006-2020 (City Mayors, 2018). Greater Kampala boasts a population of 3.5 million and is growing fast, on account of both redevelopment within the city and expansion on the periphery (World Bank, 2015). If current patterns of growth continue, Kampala will become a megacity, with over 10 million inhabitants in the next 20 years (World Bank, 2015). While accurate data on the
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² Interview with one of the political commentators and journalist with one of Uganda's daily newspapers. ³ See Nkurunziza (2006) and Goodfellow and Lindemann (2013) for discussions of land issues and associated conflicts in Buganda and Kampala.
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distribution of economic activity in the city are not available, it is estimated that about 80 percent of the country’s industrial and services sectors are located in the city. It also hosts an estimated 46 percent of all Uganda’s formal employment. Seventy percent of the country’s manufacturing plants are clustered in the city and it produces a third of Uganda’s manufacturing GDP, as well as attracting a large national, regional and international community (Lall, Schroeder and Schmidt, 2009; Gore and Muwanga 2014).
Given Kampala’s complex heritage, its location within the Buganda Kingdom and its economic centrality, its governance since the colonial times has been the focus of political contestation. The contestation has primarily involved three key poles of power: the national government, the opposition-dominated KCC (including a number of city mayors), and the governing authorities of the Kingdom of Buganda. Moreover, these tensions were compounded over several decades by a lack of attention to the city’s needs and challenges. Historically, national support for large cities in Uganda has been limited; national poverty alleviation and development strategies have rarely mentioned cities, urban activities or urban contributions to economic development (Gore, 2009) – a phenomenon not uncommon in other African countries (In the case of Kampala, this was especially notable. While there was plenty of interest among politicians in Kampala’s resources (including land), supporting the governance and infrastructure of the city was of little interest to the NRM until the 2000s. In the words of one political figure in 2009, Kampala was ‘to put it crudely, the bastard child of nobody … it’s just an orphan that no-one quite wants to deal with properly’ (Goodfellow 2010: 7).
By the late 2000s, Kampala was severely run down, its poor infrastructure and service delivery decried by the media on a daily basis. Some sources speculated that, in the post-2005 multi-party context, Kampala’s neglect was part of a deliberate strategy to discredit the opposition-run city council, which was dominated by the Democratic Party<sup>4</sup> (Goodfellow 2010; Lambright 2014). Moreover, in 2005, MPs passed a government amendment to the constitution that provided for the central government to take a greater role in the administration of Kampala. This was initially put on hold, but as the 2000s wore on and the sense of crisis in the city deepened, plans were made to realise this increased central government role. In other words, having largely left Kampala to its own devices for several decades, in the 2010s there was a concerted effort by the ruling elite to take greater control of it, both politically and administratively. This did not go uncontested, and we explore below in some detail the ways in which opposition actors at the city level tried to resist and subvert the central government ‘takeover’ of Kampala.
It is, however, also worth noting that national-level resistance and contestation also played out to a significant extent in the city at this time. This was starkly illustrated by the ‘walk to work’ protests launched by Besigye after the 2011 election, through which
<sup>4</sup> One of Uganda’s oldest political parties, with a strong foothold in the Buganda region dating back to the late colonial period.
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the city streets became the epicentre of a growing national protest against Museveni’s rule in April-May of that year. Severe police brutality, resulting in at least eight deaths, and Besigye’s repeated arrest and forcible restraint in front of television cameras, combined with an opposition agenda lacking a unified vision beyond the removal of Museveni, led to the fizzling out of this movement. However, the sense that Kampala was the epicentre of both control and resistance was further enhanced by this episode. In what follows, focusing particularly on the period from 2010 onwards, a series of overlapping strategies for dominance were pursued, meeting with limited success, as efforts to contain opposition in one area led to new forms of contestation in others.
**4. Repression and co-optation of the opposition**
Perhaps the most obvious way in which the ruling elite has sought to control the capital city is through the combination of high levels of repression and a strategy of political co-optation, picking off key opposition figures who pose a particular threat by making offers they find difficult to refuse. As in many regimes committed to maintaining dominance at all costs, these twin approaches have been central to the NRM’s approach to cementing its position over several decades. In this section, we explore some of the ways in which coercion and co-operation are deployed by the NRM nationally, with attention to aspects that are particularly prominent in Kampala. When it comes to the capital, these strategies take on particular dimensions; but their limitations as tools for dominating the city are also apparent.
**4.1 The iron fist: Persecution, suppression and containment of political dissent**
As noted above, Uganda’s system of government has shifted from a relatively broad-based and constitutional one, to one increasingly reliant on authoritarian power and patronage (Taylor, 2017). The NRM regime uses a mix of security forces including the regular police, the military, plainclothes security men and women, and unidentified male youth to crack down on at any sight of protest. These forces are in a state of constant flux in type, numbers and leadership. Yet Uganda’s security architecture draws in an even wider array of players, through aspects of surveillance and financing. Overall, the ruling coalition thus relies on a wide and growing security enterprise linked to an array of intelligence outfits, prominent business personalities, print and electronic media outlets, Pentecostal pastors, and retired military personalities across the country.(^5)
Any semblance of political opposition is treated with suspicion and, in many circumstances, the above security organs are deployed to quell it, including through the use of tear gas, sticks and guns.(^6) Vigilantes and plainclothes militias, such as the Black Mamba, Kibooko Squad, Kalangala Action Plan (KAP), Popular Intelligence Network, Arrow Boys, Amuka Group, Labeca group, Crime Kiteesi Group, and several other groups, have been created at different times to perform this task, many of them centred on Kampala. At the hands of these groups, most of which operate through
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(^5) Interview with Uganda Police Force official. (^6) Interview with a political scientist, columnist, student and teacher of politics and political development, with a focus on contemporary Africa.
\<page_number>10\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
highly informal processes, both opposition activists and people linked to civil society organisations (CSOs) engaged in political advocacy have been heavily surveilled, regularly detained and even killed (HRW 2015; Mugabe, 2018). In some cases, CSOs’ work is rendered impossible by bank account closures, the confiscation of equipment or full closure. Until recently, a key figure in the organisation of violent repression and surveillance in Kampala was the inspector general of police (IGP), Gen Kale Kayihura. Under his command, the president’s political opponents were in and out of jail and their public activities thwarted, often justified using the Uganda Public Order Management Act (2013). The aggressive crowd control tactics that police have frequently adopted earned Kayihura the nickname ‘Mr Teargas’.
In the period since 2015, the most important group within this landscape of informal, overlapping organisations of violence specialists were the ‘crime preventers’. Loosely based on community policing principles and organised in large groups, armed only with sticks, this organisation was hugely expanded from 2015, in advance of the 2016 election. While the Uganda police reportedly set a target of 1.6 million crime preventers, or around 30 in each of Uganda’s 56,000 villages, specific details on their numbers and training are difficult to come by. The government itself reported recruiting over one million by the end of 2015 (Tapscott 2017). The methods of absorption and (re)deployment and rejection are also unclear, but they are civilian volunteers trained by the Ugandan police (sometimes referred to as a band of civilian vigilantes recruited by the government) for low-level community security. By some accounts, one of the means of recruiting crime preventers was on the promise that they would later be recruited in the conventional police force. Museveni also met large numbers of them in person at Lugogo in Kampala, to declare them a reserve force of the UPDF (Ugandan Army), commenting that his idea was to have a small army which is equipped but with a big reserve. Interestingly, however, the crime preventers were not used exclusively to mobilise violence. The rationale for creating this force was multifaceted. Tapscott (2017: 694) argues that at different moments, political authorities described crime preventers in different ways: as agents of state violence, as benevolent citizens, and even as entrepreneurial youth. This ambiguity about their role created uncertainty and a lack of accountability, and also benefited the NRM during elections, because it seemed to embody a promise to generate livelihood opportunities for large numbers of youth (Tapscott 2017).
The pattern in the torture and arrests by the police and other operatives suggests that people who are able to expose brutality, and those perceived to have political ambitions, are particularly targeted, with the aim of incapacitating any attempts to mobilise Ugandans around a change programme. Kalyegira (2018) provides a detailed list of potential challengers to Museveni and documents how these personalities have been subject to intimidation and harassment for years, even decades (The Atlantic, 2018). Museveni and his minister for security, General Eliy Turwine, regularly take the opportunity to ‘remind’ Ugandans that the regime’s security activities ‘ensure’ the wider safety of society. Indeed, security as a central feature of the regime’s legitimacy has been used to introduce an array of measures designed to prevent violent crimes and also heighten surveillance in the process. The re-registration of SIM cards and
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installation of CCTV cameras across Kampala, the banning of hoodies, the recall and reassignment of crime preventers, and the revitalisation of heavily armed local defence units are just of some of the measures used to instil fear and maintain order, particularly in the capital, where the presence of armed security actors on the street has noticeably risen. It is alleged that there are over 40,000 armed men spread across Kampala overseeing ordinary people going about their business (Serunku, 2019).
The increasingly dramatic and aggressive measures to curb opposition outlined above have been used interchangeably with more subtle and trusted means for the NRM to try and dominate Kampala. As events such as the ‘walk to work’ protests demonstrate, repression alone is not enough to contain opposition – particularly in the capital. Hence, alongside such activities, options used to dominate the political landscape have included an ever-changing array of attempts to co-opt opposition.
**4.2 ‘More NRM than the NRM’: The co-opation, infiltration and dismantling of political opposition**
The ability of the ruling elite to co-opt opposition figures can partly be explained by the aura of invincibility and permanence that Museveni has so effectively built around himself. Many NRM cadres were in the ‘trenches’ with Museveni during the civil war and earlier years of NRM rule, and dreamt of picking the baton of leadership from him, but have dropped their ambitions because age or other circumstances have come into play as Museveni stayed put. The often-repeated praises of party stalwarts and sycophants, suggesting that the country cannot exist without him, has emboldened Museveni and enhanced his cult-like status. Having seen off potential challenges from within the NRM, in the form of generals like David Sejusa (alias Tinyefuzza) and Henry Tumukunde, Museveni has worn out his ambitious former comrades, making it most likely that he will face a challenger who is younger than his own children (Sserunjogi, 2018).
Museveni has taken great care to keep influential figures in the city onside, including those from all the city’s major religious institutions; he rarely misses important religious functions in Kampala. Yet even people within the official opposition have been continuously courted, in an attempt to co-opt them into the ruling coalition. Attempts to co-opt opposition members has taken many forms, including promises of cabinet positions and cash handouts. Reaching out to specifically cash-strapped opposition members has also helped to draw a wedge between opposition forces, to eliminate any possibility of unity and cohesion among opposition politicians.(^{8}) At the national level, despite some political glitches, President Museveni has largely been successful in what appears to be a long-term mission to decimate the opposition, which he frequently refers to as ‘useless’.
The list of leading opposition figures who are working with, or have worked with, the NRM government is long. Most significant, in terms of Kampala, when the president
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(^{7})Anonymous interview with one of the old guards in the National Resistance Movement. (^{8}) Interview with Ms Betty Nambooze; member of parliament and Democratic Party stalwart.
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finally announced a new cabinet immediately after the 2016 elections, newly co-opted members included former opposition politicians from the capital, such as Beti Kamya of the Uganda Federal Alliance, who was made minister for Kampala and metropolitan affairs, and Florence Nakiwala Kiyingi, who was made minister of state for youth and children affairs. After her appointment as minister for Kampala, Beti Kamya, a former FDC insider, promised to reverse the NRM’s especially poor performance in Kampala in 2016, by delivering them 80 percent of the city’s vote by 2021. It was hoped that the deployment of Kamya, who had been a very high profile opposition figure and activist supporting the Buganda Kingdom, would bridge divides and heal the wounds that had led to historical lows in NRM support in Kampala. However, as we explore below, it is far from clear that this was a winning strategy.
The absence of a structured platform to engage opposition members has not stopped the opposition’s willingness to work with the NRM government or the active co-optation strategy involving multiple offices headed by officials in the army, the party and State House, all armed with reasonable amounts of money to soften and recruit opposition politicians (Kaaya, 2017). According to an NRM insider, the opposition is a ‘nursery bed’, who are simply sketching an existence frequently ‘hobnobbing’ with the NRM party stalwarts and camouflaging under the cover of darkness before joining the party.9 Meanwhile, the president has frequently referred to opposition politicians as ‘political prostitutes’ willing to sell themselves to willing buyers (Kaaya, 2017). Even the chief opposition whip has often complained about the way his colleagues are compromised, lamenting that many official members of the opposition appear to be two-faced, which has affected us in assigning them to committees. We have people who appear to be opposition, yet they are more NRM than the NRM MPs’.
The ruling elite’s tactics change from time to time and, depending on the individuals being engaged, the NRM may use both the carrot and stick as an approach. For hardline opposition politicians, if repeated efforts at co-optation fail, then the government often opts to block their businesses and sources of income, as one prominent opposition politician notes:
‘Carrots come in the form of job offers or cash, while the sticks include blocking access to jobs or businesses. In several cases, there have been cases where financial institutions have been forced to recall opposition politicians’ loans, which forces them to run to Mr Museveni for help. If one hardens, they will use economic disempowerment or cripple one financially by making one either unemployable or, if one is in business, they will be handed unusual tax assessments, dismantle any franchise holdings and business territory or set inflexible sales targets. If one is in a partnership with others, they will make your partners start feeling uncomfortable working with you.’10
9Interview with one NRM insider and political commentator for Makindye West constituency in Kampala City. 10Interview with the Forum for Democratic Change (FDC) official.
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In the case of Robert Kyagulanyi (aka Bobi Wine, whose rise in political popularity we explore more below) his continued mobilisation has led to over 124 planned concerts being blocked, suspended or cancelled altogether, in defiance of the directive made by the parliament of Uganda and the judiciary. Yet despite such ongoing efforts to cripple the opposition, the electoral outcome in Kampala in 2016, and the subsequent immense popularity of Robert Kyagulanyi, indicate that the tactics deployed have limited capacity to win over the population of Kampala. The history of opposition in the city is deep-rooted and complex. It involves specific aspects relating to the troubled relationship between the NRM government and the Buganda Kingdom, and the hardening of opposition sentiment in the face of continued repression – as well as following the more general trend of large cities with young populations becoming opposition hotspots. While co-option of key opposition politicians and deployment of multiple security forces has enabled the NRM to maintain dominance across large swathes of rural Uganda, it has long been clear that it is not enough in Kampala. Moreover, these strategies and tactics can generate new forms of opposition, even as they try to repress it. Consequently, alongside the above activities, over the past decade the NRM has engaged in a sustained battle to take control of the key levers of governance in the city, in order to further constrain the opposition’s breathing space and room for manoeuvre.
5. Legislative manoeuvres and capital city reforms
5.1 The Kampala Capital City Act and its dysfunctions
The NRM government has failed to win a majority in Kampala in all presidential elections since 1996 (see Figure 2), leading eventually to calculated effort to reclaim the city (Gore and Muwanga 2014). While the infrastructure and service delivery problems in the city were used as justification for recentralisation, these problems cannot be separated from the historical conflict between Kampala and the national government outlined above. In June 2009, building on the foundations set in place by the 2005 Constitutional amendment, the central government tabled the Kampala Capital City Bill, which was passed into law in 2010, amid huge controversy. This was a watershed moment for Kampala and an opportunity for central government to introduce significant reforms.
However, in practice, the reforms did not give the city administration autonomy over its resources or improve coordination among local authorities within and around the capital. Instead, it implemented a new national authority to oversee the administration of the city – the Kampala Capital City Authority (KCCA) – effectively taking away administrative and decision-making authority from a popularly elected council and mayor and replacing it with a technocratic administration that owed its loyalty to the president. Under the new structure, the position of mayor was effectively abolished and replaced with that of a lord mayor, with far fewer executive powers, and the city was to be led by an executive director, supported by a team of ten directors appointed by the central government. The 2010 Act established KCCA as a central government agency, in an attempt to align the vertically divided authority that had plagued the city for so many years. The 2010 Act created two parallel structures (Figure 3): a political
\<page_number>14\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
**Figure 2:** Results of the Uganda presidential elections 2006-2016
<img>A map showing the results of the 2006 presidential election in Uganda. The map is divided into three sections, each representing different political parties. The top section shows the results of the 2006 presidential election, with the following parties represented: Yoweri Museveni (NRM) in blue, Kizza Besigye (IPC) in red, and Obote Oyono (UPC) in yellow. The middle section shows the results of the 2016 presidential election, with the same parties represented as before. The bottom section shows the results of the 2016 presidential election, with the same parties represented as before.</img>
arm headed by the lord mayor and the technical wing headed by Executive Director Jennifer Musisi, who many saw as an urban reformer, known for her toughness during her tenure at the Uganda Revenue Authority. The creation of the Ministry of Kampala and Metropolitan Affairs with a substantive minister was further testimony of the shift in power away from the city to the central government.
KCCA was ostensibly created to resolve the inefficiencies of the former Kampala City Council. In reality, however, the provisions of the KCCA Act resulted in unclear institutional arrangements and poor policy coordination. The institutions involved frequently have overlapping interpretations of their responsibilities, and there is limited common understanding of which entity possesses the authority to carry out a given policy. For example, the 2010 Act does not clearly delineate hierarchy between the administrative and political wings of the authority, contributing to confusion over intended roles. Section 11(1) of the 2010 Act provides that the lord mayor shall be the political head of the capital city, while section 17(1) provides that the executive director shall be the chief executive of the authority; no clarification, however, is
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**Figure 3: Institutional structure of Kampala City**
<img>
A diagram illustrating the institutional structure of Kampala City.
- The top node is "Minister for Kampala Capital City and Metropolitan Affairs".
- Below this, there are two main branches: "Lord Mayor (Chair)" and "Executive Director".
- Under "Lord Mayor (Chair)", there are nodes labeled "Deputy Lord Mayor", "Elected Councillors", and "Asponted Councillors from Professional Bodies (UIPE, USA, UMA, ULS)".
- Under "Executive Director", there are nodes labeled "Administration & Human Resource Management", "Physical Planning", "Treasury Services", "Engineering & Technical Services", "Public Health Services & Environment", "Education & Social Services", "Legal Affairs", "Revenue Collection", "Internal Audit", and "Gender Community Services & Production".
</img>
Source: UNAS (2017).
provided on the difference between the capital city and the authority. The ultimate result of this legislative dilemma has frequently been institutional paralysis, with the political and administrative wings of KCCA pulling in opposite directions.
It is important to note that despite the role of mayor being severely downgraded to that of lord mayor, Erias Lukwago – the opposition figure elected as lord mayor after the creation of KCCA in 2011 – ensured that opposition presence within KCCA remained strong. Although the opposition parties lost their dominance of the council itself to the NRM in the 2011 elections, Lukwago held onto his position, noting that ‘I can proudly say that I have defeated President Museveni and the NRM rigging machinery, because it has been a battle between me and the state and not my opponents. Museveni did all he could to fail me but in vain’. (Kasazi and Ssenkabirwa 2011).
Lukwago’s words and the post-2011 political setup had two ultimate outcomes. One was an open invitation to the president to join the ring, galvanising the presidency for
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a long fight; and, secondly, the lord mayor's lack of central government political support and weakened authority under the KCCA Act 2010 effectively gave decision-making power over the city's future to the executive director. However, Lukwago strongly contested this interpretation of the KCCA act, frequently taking to the streets and mobilising his substantial popular support in protest. Lukwago justified his campaign of resistance and obstruction with reference to the KCCA Act, and the aforementioned differing interpretation in the roles and responsibilities of the lord mayor relative to the executive director. Frustrated by failure to pass any business legally, the NRM-dominated council eventually impeached Lukwago in 2013, citing incompetence, misconduct and abuse of office (Kafereo, 2013). On 25 November 2013, he was isolated and impeached by 29 of the 32 councillors, using the power given to them under section 12 of the KCCA Act.
Lukwago's removal was the subject of contestation in the courts of law and debate in parliament, media and other public fora. While the removal of the lord mayor is provided for in the KCCA law, there was no provision for how his/her functions would be performed in their absence. Consequently, while the court battles raged on, three years of legal deadlock ensued, during which KCCA ran without a lord mayor, until 2016, when fresh elections allowed Lukwago to stand – and win – again. However, an important development during his absence was that the government tabled an amendment to the KCCA Act 2010, with the stated aim of solving the underlying problems that led to the fallout between the lord mayor and the NRM-dominated KCCA (Kafereo 2013). The KCCA (Amendment) Bill 2015 was a key legal manoeuvre that is widely seen as a further move by the ruling coalition to consolidate control over the city.
**5.2 Introduction of the KCCA (Amendment) Bill 2015**
The KCCA Amendment Bill, introduced in the run-up to the 2016 elections, was again framed as necessary to strengthen and streamline the governance of the city, by drawing clear lines between roles of policy makers and administrators. The Bill provides for a metropolitan physical planning authority for better planning in the Greater Kampala Metropolitan Area; removal of the borrowing cap for KCCA, as long as such borrowing is compliant with the Public Finance Management Act; and removing ambiguity in the composition of the authority/council and nomenclature of institutions and offices.
The Bill's biggest controversy, however, relates to the proposed change to how the lord mayor is elected, and the transfer of the title of 'political head' of the city from the lord mayor to the minister of Kampala and metropolitan affairs. Previously, the lord mayor was elected by adult suffrage, a process to be changed under the provisions of the Bill to an internal vote in the council, in which the candidate had to secure two-thirds of the votes of all council members. In a situation, where the ruling NRM now dominated council membership, an opposition mayor would find it hard to gain the support of enough councillors for the seat. Not surprisingly, Lukwago heavily criticised the Bill as 'an underhand method designed to fight me out of office', adding that it was
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a further move by the NRM regime to undermine him through legal means, 'because the ruling government knows they cannot beat us in Kampala' (quoted in Semakula et al. 2017).
Similar sentiments were raised in our interviews with other opposition figures, including the shadow minister for local government:
"The government brought a bill in bad faith to realign the leadership of Kampala City. Like in any other struggle for power, you cannot be taken to have successfully won when you have not captured the capital city. This thing keeps haunting Museveni, because he has never taken over Kampala politically. He has been trying everything to see that he chases the opposition out of the capital city. He wanted to do away with lord mayoral elections because of Erias Lukwago, a man he could neither defeat nor compromise."¹¹
Moreover, under the KCCA Structure proposed in the 2015 Bill, the minister for Kampala and metropolitan affairs would assume all the executive functions currently vested in the office of the lord mayor, with elected councillors effectively becoming an advisory board, whose core function would be to mobilise local revenue. In a highly political move, shortly after introducing the Bill, Museveni replaced Frank Tumwebaze as minister for Kampala with Beti Kamyia – a recently co-opted former opposition figure perceived as popular in Kampala and Buganda more broadly, with a longstanding history of mobilisation around the Kingdom’s political causes. This appointment turned the two-way power struggle between Musisi and Lukwago into three-way one between Musisi, Lukwago and Kamyia, with little, if any, common ground between the three.
The manner in which the Bill was introduced was also controversial; it was initially tabled when the city council was not sitting, the office of the lord mayor was locked, and the chambers were locked, ensuring there was no input from Kampala’s elected leadership. It therefore seems clear that one of the Bill’s primary purposes is to transfer whatever executive powers currently remain with the lord mayor to the minister for Kampala and metropolitan affairs – a player whose role has grown in significance as the ruling elite has sought new ways to control the capital.
**5.3 Rise of the minister of Kampala**
In essence, the 2015 Bill proposed that Kampala be governed and administered by ministerial orders and decrees, which is inconsistent with the decentralisation framework embodied in the Local Government Act (1987). Aside from representing an attempt to further centralise power over the city, the Bill assigns a key role to a minister who has no substantive ministry behind her. According to the former executive director of the National Planning Authority (NPA), Kisamba Mugerwa:
"Kampala Ministry can only exist politically, but in actual sense it's of no consequence when it comes to positively impacting on the lives of the people."
¹¹ Interview with the shadow minister for local government, Ms Betty Bakireke Nambooze
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There is no work to necessitate the office of minister for Kampala. The NRM government only created that office to politically counter Lukwago after failing to get their own candidate win in Kampala. I am sure if the elected mayor was from the ruling NRM, that office of Kampala minister would not have been created. In fact, that will be encroaching on the mandate of the Ministry of Lands, which is responsible for urban planning and development. I now realise that’s the ministry that should be in charge. […] How do you have two political heads for Kampala? You simply can’t and this is why the clashes we have seen between Beti Kamyia and the leaders at City Hall are simply inevitable’ (quoted by Walakira 2018).
Given the many controversies affecting the Bill, significant backtracking has taken place and it was shelved a number of times: first, after it was introduced in 2015, and then again in 2017, amid fierce resistance from the lord mayor. The struggle between the lord mayor and the ruling coalition was given further fuel by the 2016 election, which once again strengthened the opposition relative to the NRM, both in terms of the balance of councillors and through Lukwago’s return to the majoritry. Despite all the central government’s efforts to suppress turnout in Kampala, including the delayed opening of polling stations and calling the results before the counting was finalised for the metropolitan area, the NRM performed badly in the city – significantly worse than in 2011. The opposition won seven of Kampala’s nine constituencies (the remainder being won by two opposition-leaning independents) and the majority of council seats in KCCKA. Political observers intimated that with an FDC majority at City Hall, the lord mayor’s reign would be smoother than his previous terms, when he faced continuous resistance from the majority NRM-leaning councillors. Moreover, for the first time, the opposition won outright in the surrounding District of Wakiso – a significant development that we discuss below.
It was this weakening of the NRM position in terms of elected seats in 2016 that led to the appointment of Kamyia and a renewed push to control the city through her, rather than Musisi. Though initially well-supported by the president, Musisi’s relationship with Museveni soured after 2016, with the president blaming her for the NRM’s poor electoral performance in Kampala. He distanced himself from the KCCKA urban renewal project, which had clearly proved unpopular with a majority of voters. This turn against Musisi led ultimately to the latter’s resignation in October 2018, on the grounds that her work was being inadequately supported. Her resignation was also the culmination of increasingly contentious and tense relations with Kamyia and Lukwago. While Lukwago expressed relief at Musisi’s resignation, which he claimed would usher in a more conducive working environment, in reality, tensions in the city around governance did not dissipate. Musisi was replaced by a low-profile technocrat, and the key battleground became that between the lord mayor and the minister.
In 2018, the NRM government also introduced what it referred to as a ‘watered-down’ version of the original amendment bill. This revised version maintained citizens’ right to vote for a lord mayor through universal adult suffrage, but still proposed transferring the title of political head of the city from the lord mayor to the minister. In the view of
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the chairperson of the Kampala City parliamentary caucus, the proposed amendment would disenfranchise the people of Kampala, denying them the opportunity to fully participate in the affairs of Kampala City administration.¹² The lord mayor was, unsurprisingly, in agreement:
\*The current minister for Kampala and metropolitan affairs is usurping my powers. She is posturing around as the political head of the city and there are litigations in court over the issue. Furthermore, stripping the powers of the lord mayor would disenfranchise and disempower the voters (the people of Kampala) and deny them a voice in the management and administration of the city. What took President Museveni to the bush was to return power to the people and democratic rule, but what is going on in Kampala shows that people shed their blood for nothing. Voters give an elected official the mandate and the political wing of the city is the representation of that mandate and not an appointed minister.\*¹³
From the perspective of the Kampala City parliamentary caucus, the contention is over legitimacy and the right to rule. To transfer so many mayoral powers to a presidentially-appointed minister poses substantial problems of political accountability. A Parliamentary Committee on Presidential Affairs responsible for scrutinising the KCCA (Amendment) Bill also recommended that the proposition to make the minister ‘political head’ of the city be deleted – though others including the chair of this committee, contended that this dispute over the ‘political head’ was meaningless:
\*The title of political head that is prevalent in the Act is irrelevant. It is very elaborate in the principal Act – the chain of command in the city stipulates that in the performance of his or her functions, the lord mayor is answerable to the council and the minister. However, the lord mayor and minister for Kampala and metropolitan affairs are bickering over a title that is useless because being a “political head” is not a function.\*¹⁴
Although the Bill has been repeatedly delayed, in a manner highly reminiscent of earlier politically-charged bills relating to Kampala and Buganda more broadly (see Goodellow 2014), the ruling coalition continued to try and popularise the idea of making the minister for Kampala the city’s political head, including through inviting councillors to meet the president and to attend special ‘refresher’ courses at National Leadership Institute, without involving or gaining consent from the lord mayor.¹⁵
Things developed further in August 2019, when the KCCA (Amendment) Bill returned to parliament and was finally passed – though stripped of the part that would have abolished the election of the mayor by universal adult suffrage. This element of the Bill
¹² Interview with the chairperson of the Kampala City parliamentary caucus, 3 December 2018 ¹³ Interview with the Lord Mayor, 18 November 2018. ¹⁴ Interview with the chair of the Parliamentary Committee on Presidential Affairs, 11 October 2018. ¹⁵ Interview with a political analyst/commentator and news reporter with Monitor Publications.
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was rejected by MPs, presumably in part because, as elected representatives, the principle of popular election proved more powerful than party loyalty on this issue. Moreover, MPs also rejected the proposition to transfer the title of political head of the city to the minister, concurring with those who argued that this title is meaningless (Leni 2019). However, although the stripping down of this Bill might be seen as a victory for Lukwago, by February 2020 he was vowing to block its implementation, on the grounds that it contained further contradictions, for example in relation to who holds ultimate control over budgeting.
These events illustrate how, over a decade, the ruling elite has adopted and adapted its approach to controlling city governance since its decision in 2009 to dominate the city administratively. Yet this decade of ‘legal manoeuvres’ (Goodfellow and Jackman 2020) also clearly illustrates the limitations of this strategy. Creating new figureheads for the city, in the form of Musisi and Kamya, who were clearly accountable upwards to a regime seen as brutal and corrupt, rather than to the city population itself, ultimately backfired by bolstering Lukwago’s popularity and the confidence of the opposition to shoot down key elements of the KCCA (Amendment) Bill. More generally, KCCA operates in a way that is largely detached from civil society, impeding the effectiveness of its reforms (Gore 2018). Nevertheless, the lord mayor’s power remains highly constrained, with the opposition hammed in by successive layers of legislation that exacerbate blurred lines of accountability and spheres of authority. These battles in the administrative arena played out alongside the carrot-and-stick strategies described earlier, as the government tried to intimidate and co-opt sufficient numbers of people to prevent urban political opposition from fundamentally threatening the regime. But in the face of growing resentment towards the NRM-sponsored urban renewal project under Musisi, and the vigorous political mobilisation by Lukwago, Besigye and (since 2017-2018) Bobi Wine, new strategies were also needed. Hence the ruling elite has opted to engage in a number of more targeted urban strategies, with a particular focus on Kampala’s key constituency: the youth.
6. A youth compromised: Political manoeuvring with youth groups
Uganda has one of the youngest populations in the world and more than 70 percent of the country’s citizens have never known a president other than Museveni (The Atlantic, 2018). According to the 2016 Uganda Youth Survey Report by the East African Institute, about 52 percent of youth are unemployed. A 2017 Sauti wa Wananchi ('Voices of Citizens') survey, conducted by the organisation Twaweza, indicated that 78 percent of Ugandans thought the government was not doing well at creating jobs. Thus, for many youths, the transfers down from previous generations are liabilities, not assets. They are better educated than their parents, but less likely to find a job. The absence of social safety nets and affordable basic services often means they have to support themselves, their children, and their parents (Kalinaki, 2018).
This has given rise to an upsurge of resentment, creating a sense of hopelessness among the youth that provides fertile ground for politicians of every hue to recruit demonstrators (Nantume, 2018). The Kampala metropolitan area has an estimated
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Population of 4 million people, making it a significant and growing constituency. As well as a youthful demographic, this voting block is also composed of significant interest groups, including market vendors, traders and 'informal' transport operators. The battle for these voters has intensified since the growing influence of the 'People Power' movement under Robert Kyagulanyi (Bobi Wine), particularly in Kampala where Kyagulanyi has long been associated with the Kamwokya suburb in which he grew up, and in Wakiso District, where he has been an MP since 2017.
The president's engagement with youth in Kampala goes as far back as the early 1990s, but the speed and magnitude of engagement increased after the 2001 presidential and parliamentary elections and has remained significant in every election since. In the run-up to 2016, Museveni decided to further intensify his reach-out to the young and increasingly desperate generation. The necessity of doing so was further highlighted by the growing popularity of Bobi Wine, whose 15-year pop career was associated with increasingly angry and politically charged music. In the face of this hostility within urban youth culture, in 2015 Museveni persuaded an impressive number of Uganda's leading pop stars to compose and record a song – 'Tubonga Nawe' ('We Are with You') praising him and urging people to vote NRM (Schneidemann 2015). This was, however, a misset that ultimately backfired in an age of social media. Intense debate about the proper role of popstars in politics ensued, with the media profiling stars who refused to participate in Museveni's campaign song. Many young people, angered by the decisions of their favourite stars to participate in this stunt, responded by boycotting their music (Kagumire, 2018).
These developments ushered a new era in the relationship between popular music and politics and paved the way for Bobi Wine, one of the biggest stars to refuse to join the campaign song, to capitalise on this move when standing in the 2017 by-election. His victory and subsequent success in putting forward winning candidates in a number of by-elections, under the banner of a vague but emotive 'People Power' movement, has led to the president further stepping up efforts to win over urban youth – but this time primarily through cash and other influential personalities, rather than music, as well as parallel efforts to infiltrate and manipulate key informal economic sectors. While these strategies play out across the nation, they have particular significance in Kampala, as we highlight below.
**6.1 Countering 'People Power' with cash**
In this section, we explore two specific approaches through which the ruling coalition has tried to manipulate and buy support among youth groups in Kampala over the past decade: i) the distribution of cash among youth groups in selected areas of Kampala; and ii) courting and manipulating informal workers, with particular attention to boda boda motorcycle taxis. These case studies demonstrate the ways in which the regime has attempted to counteract some of the urban mobilisation strategies of the opposition. They also show how strategies relating to intimidation and the mobilisation of violence intersect with efforts to gain the support of urban youth through promises of cash and increased livelihood opportunities. However, we also argue that these
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diverse and intersecting strategies and tactics among the urban youth are very limited in their effectiveness, generating at best very short-term support for the NRM, which may not yield electoral gains.
Cash is one of the biggest weapons in Museveni’s armory, and it has become commonplace for him to carry bags of money and brown envelopes. In the company of his ministers, State House controller, former KCCA executive director and many other government officials, the president regularly provides funds for youth, women and other groups in Kampala and surrounding urban councils. The source of the money is unclear, though reference is sometimes made to the State House community donations budget and the consolidated fund. Unconfirmed reports indicate that a State House commissioned ‘ghetto Fund’ (equivalent to 1.8 billion shillings) has been set up to bribe youth into supporting the NRM. Speculation is widespread that such funds involve diversions from productive government projects, to ensure there is a steady supply (Khisa, 2018).
During campaign time, rather than rely on his lieutenants, Museveni has taken to handing out the cash himself. As well as helping him to directly endear himself to the public, some observers believe it actually helps to reduce financial malfeasance and corruption, with money for poverty reduction finally reaching the poor. Some further suggest that these personalised handouts show the president’s awareness that entrusting cash to formal channels of government, or specific officials for distribution, is a sure way to having much of the money pocketed along the way. In other cases, State House and the Internal Security Organization (ISO) have enlisted obscure ‘socialites’-turned-‘philanthropists’ as emissaries to divert urban youth from opposition politicians. These philanthropists appear and disappear mysteriously. A recent example is Brian White (Brian Kirumira), who has moved around the country under the guise of helping youth and women out of poverty. He has been seen handing bicycles, seeds, medicine and school equipment, as well as large amounts of cash. In many ways, these practices have underlined the increasing commercialisation of elections, where people expect ‘something small’ in exchange for their vote.
The emergence of Robert Kyagulanyi (Bobi Wine) as a youthful leader with an ear to the ground has clearly increased the pressure on the NRM to improve its appeal to urban youth. Kyagulanyi is explicit in stating that his appeal is providing a voice for the youth. In Kampala specifically, another way in which the NRM elite has sought to counter this threat is through the creation of large numbers of youth projects in various parts of Kampala Metropolitan region, organised through their own savings and credit cooperative societies (SACCOs). These have been visited by the president and State House handlers, including the Kyagulanyi’s base in the Kamwokya suburb. Six ‘ghetto
<sup>16</sup> Interview with one of the members of Nakasero Market Vendors Association, 11 January 2019. <sup>17</sup> Interview with one of the beneficiaries residing in Kamwokya and engaging in the collection of scrap metal and running a small retail shop. <sup>18</sup> Interview with a political scientist, columnist, student and teacher of politics and political development with a focus on contemporary Africa.
23 Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
youth groups' were promptly created in Kamwoloya in 2018 and registered to receive funds from the president. It is, however, apparent that there are no consistent criteria used to select the beneficiaries, or determine how funds should be spent.¹⁹ The government strongly denies the regular accusations that this constitutes an attempt to win over Bobi Wine supporters, claiming that it is just focusing on the 'most needy' people, wherever they may be.
An important point to note, in terms of the clearly political nature of these funds, is that they operate beyond the purview of the official Youth Livelihood Fund, overseen by the Ministry of Gender, Labour and Social Development (MGLSD). Many of the groups that have received the cash handouts in Kampala are not in the MGLSD database for the existing and registered youth groups. It is apparent that many such groups are hastily assembled, just for the purposes of receiving cash, and operate in parallel with the formal systems set up under the MGLSD. However, proposals for the 2019/20 financial year involve moving the Youth Fund from the MGLSD so that it is officially under State House. This has resulted in a Shs. 130 billion State House Youth Livelihood Fund, reducing the MGLSD funding from Shs66.6 billion in the 2018/19 financial year to Shs 4.62 billion in the 2019/20 financial year (<watermark>Daily Monitor, 2019a</watermark>). This move, according to the Civil Society Budget Advocacy Group (CSBAG), puts the fund at significant risk of mismanagement, given that State House lacks the required expertise to oversee the youth programme and, most importantly, it risks being politicised. State House operations are almost beyond public scrutiny, with limited parliamentary oversight. However, this ease of distribution, without the need for complex bureaucratic procedure, is precisely the reason given by those who defend placing this fund under direct presidential control. For example, the director of Uganda Media Centre argued that youth funds should be directly controlled by state house, because:
the various government interventions cannot reach everybody and also because whenever the president is moving around, there are people who accost him with direct request, but he cannot tell them to go to various ministries or agencies for help. Therefore, Cabinet endorsed that this money should continue to be given to the president for those interventions.²⁰
The extent to which these activities have focused on Kampala is striking, with an NRM candidate from Arua in the north of the country (Nusuru Tiperu) noting that 'in Kampala, money is being distributed like beans'.²¹ Figures 4a to 4c provide some illustrations of these activities. Yet, despite these efforts to win the favour of Kampala's youth, it is far
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¹⁹ Interview with one of the officials from the Ministry of Finance, Planning and Economic Development and a regular columnist in one of Uganda's major newspapers. ²⁰ Quoted in Cabinet endorses Museveni's donation budget, <watermark>Daily Monitor, 29 January 2019.</watermark> Available at: https://mobile.monitor.co.ug/News/Cabinet-endorses-Museveni-donation-budget/246656d7-9587-19-8f9e-aebd5b2f0e8e.html accessed 1 July 2019. ²¹ Quoted in NRM leader warned the ruling party against people power', InfoUganda, available at https://info258.com/nrm-leader-warned-the-ruling-party-against-people-power/, accessed 17 July 2019.
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Figure 4a: President Museveni with Kampala youth leaders, after giving them Shs2.5 billion for their SACCOs at State House Entebbe in March 2019
Source: Wandera (2019).
Figure 4b: President Museveni hands over sewing machines to young female learners in Kampala City in 2017 under the Presidential Initiative on the Skilling of the Girl Programme
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Figure 4c: In the company of the minister for Kampala and metropolitan affairs (Beti Kamya, far left) President Museveni presents a dummy check to Mulago Washing Bay SACCO in 2016
<img>A photograph showing President Museveni presenting a dummy check to Mulago Washing Bay SACCO. He is standing next to a woman in a floral dress, who appears to be the SACCO's secretary general. Other people are also present, including a man in a suit and a woman in a black top.</img>
from clear that it will have the desired effect in terms of securing NRM votes. For one thing, the attention lavished on opposition-supporting areas such as Kamwokya have led former NRM supporters to complain of neglect.
Talking to some of the youths, on condition of anonymity, interviewed beneficiaries of youth funds in Kampala Central Division were greatly concerned:
"We are tired of being neglected. The habit of bypassing party structures must stop. We know Kampala and all the groups that work within the city. Why do you rely on State House officials who do not even know anything about the people of Kampala and leave out the NRM leaders?"
The president often likens his poverty reduction struggle in urban areas to the five-year protracted bush war he fought in an area known as the Luweero triangle to oust the Obote II regime. In a significant development, he has placed increasing emphasis on Wakiso, the district that almost entirely surrounds Kampala and which (as illustrated in Figure 2) was lost to the opposition for the first time in 2016. Even in advance of this election, he announced in 2015 that 'Wakiso District ... is going to be my Luweero to liberate the urban poor from poverty'. If we earmark this area and injected like 100m shs, this place can become paradise. In 2018, with Kyagulanyi now building momentum from his constituency in Wakiso District, the government unveiled a 'Wakiso Grand Plan', with promises that employment opportunities would follow.
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22 Quoted in 'Museveni goes back to the bush', RadioSimba.ug. Available at https://www.radiosimba.ug/museveni-goes-back-to-the-bush/ (accessed 17 July 2019). Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
There are several other programmes, such as 'Entandikwa' 23 and the slew of other 'wealth creation' initiatives that have been started by the NRM government and implemented through Museveni's bags of cash. However, their long-term impact to beneficiary communities is unclear. Few, if any, of the beneficiary groups had immediate plans about how to use the donated money. Moreover, one Kamwokya-based youth group claims that the Shs100m given to youth clubs and SACCOs in the area had never reached them, but rather were diverted by officials who were not members of their car-washing business. They accused these leaders of diverting the money to paying school fees and finishing their houses, leading to the closure of the SACCO offices, while some recipients of the money just disappeared. 24 The group also accused officials of registering the wrong youth clubs. Far from creating satisfaction that could build support for the NRM, there is a sense that the allocation of funds is generating new forms of resentment and conflict. According to one association chairperson:
'We will indeed convene as an association to discuss what to do with the money that we received, although the 10 million that we received is so small for an association of 64 members. Instead, expect that this money is going to create chaos and divide us further.'
Similar views and complaints were recorded at Kisekka market in April 2019, on the grounds that funds pledged by the president during a personal visit the previous year had not materialised. 25 According to the chairperson of Kisekka Vendors, 40 new SACCOs were specifically created to 'receive' the money promised by the president in October 2018. The surge in number of SACCCOS since October 2018 mainly involves the very young, who lack savings and are seeking opportunities to start and drive a business. Despite this, according to the deputy chairperson, 'Getting out of poverty not the target for most the kids who have joined SACCOs to get the presidential money. Most of them are idle 15–30-year-olds, who want to get rich quick or at worse use the money given to solve immediate problems'. A further concern is the 'hijacking' of the SACCOs by powerful elements within the market, in order to syphon off the funds provided by the president.
Currently, the anticipation in Kisekka market for the 500 million pledged by the president is very high, despite the fact that the money has delayed. Most vendors interviewed were very confident, as demonstrated by this comment from the deputy chairperson:
Money will come we are confident of that. Why? Government knows what Kisekka market means – people here we think alike and act as one – you cannot lie to them; they are capable of being very, very disruptive. In this market people are very idle and disorderly and need to be kept busy'.
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23 Fresh start. 24 Interview with the current vice chairman of the Mulago Car Washers SACCOs. 25 Chairman of the Kisekka market vendors, 18 April 2019. Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
This reference to the market’s disruptive capacity is a clear allusion to the history of violent rioting in the market, and the vendors’ confidence is rooted in their history of winning favours, due to their capacity to mobilise opposition. Yet the market’s history is also one of violent factional struggles, and the likelihood of further conflict in this context seems heightened by the expectations and fears about how funds might be misallocated and misappropriated. There is also no indication that the funds will increase support within the market for the NRM, as the former chairperson of the Market Vendors’ Association pointed out. ‘Yes, the NRM thinks it is coopting them, but the truth is [the youth] too have learnt to use the system to their advantage’. 27
These findings raise questions about the extent to which those receiving funds see a direct relationship between the money and their political allegiance or, at the very least, a change in who they vote for. The president did win some favour in Kisekka by reversing an earlier decision to sell the market land to a private developer, thus ‘saving them’ from displacement. In this sense, one vendor representative notes that ‘additional funding is a bonus, because many people here have nothing but praises for the president’. However, there is reason for scepticism about whether this will actually translate into votes, in an environment where political support is seen as being so readily available for hire. As the Kisekka Market Vendors’ deputy chairperson notes:
‘Boys here see this as a business – they’re disrupters for hire. They went to Sembambule bought by the opposition to keep the ballot boxes. When elections come, this is an opportunity for them to earn. They don’t do nonsense here, because they believe they were rescued, but they’ll go elsewhere to act up and it doesn’t matter who pays!’
6.2 Dominating mobile livelihoods: infiltration and violence in the boda-boda sector
Another way in which the NRM have sought to gain dominance among urban youth in the city is through specific initiatives to control and gain support in the transport sector. Despite a number of efforts to expand the formal bus system over the last decade, urban public transport in Uganda remains overwhelmingly dominated by mini-bus taxis (matatu) and motorcycle-taxis (boda-bodas). The matatu sector itself has a long history of use by the NRM for political mobilisation through a monopolistic organisation, the Uganda Taxi Operators and Drivers Association (Goodfellow 2017). Although this organisation was dismembered by Musisi, in her drive to improve urban transport, matatu-based transport remains dominant in the city. Next on Musisi’s list was to regain control over the boda-bodas, which had mushroomed in number, such that by 2014 a registration process identified 50,000 motorcycle taxis in Kampala alone. This was widely considered to be an underestimate; the following year KCCA counted 120,000 registered motorcycles, ‘most of which’ were engaged in commercial activities (Daily
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26 See Goodfellow (2013) for a discussion of earlier rioting and factional conflicts in Kisekka Market. 27 Interview with former chairperson of Kisekka Market Vendors’ Association. 28 Interview with transport police official, June 2014.
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Monitor 2019b). However, despite Musisi’s initial support from the president, the sheer significance of boda-boda drivers as a (predominantly youthfull) voting block meant that she was offered little support for activities to tax or regulate them: indeed, this was one of the issues that dogged her tenure as executive director and contributed to her decision to resign.
This failure to tax, regulate and limit numbers in the sector in the 2010s was the continuation of dynamics that emerged in the early 2000s. The repeated efforts by the (then opposition-dominated) city council to gain some control over the burgeoning numbers of boda-bodas, and the ways in which these efforts were frustrated by interventions from the president, are discussed in detail by Goodfellow and Titeca (2012) and Goodfellow (2015). Through such interventions, Museveni ensured that the council’s repeated efforts to tax and limit numbers were unsuccessful, boosting his support among boda-boda drivers, while also drawing them into the strategy to undermine the opposition-led KCC. In theory, the capacity to control the sector should have improved since 2011 under the KCCA. However, the unclear mandates and broken chains of accountability discussed in Section 4 continued to provide incentives for informal political bargaining that weakened the city authority’s enforcement capacity.
In fact, the KCCA period ushered in a new dynamic in the politicisation of the sector, which saw forms of organisation that were both more centralised and more violent. Prior to 2010, efforts to organise the sector under the banner of one association like UTODA repeatedly failed – again, partly due to constant political interventions. From 2006 to 2007, the police attempted to infiltrate the sector, through the creation of an organisation called Kuboca, designed to fight crime and monitor the sector’s activities from within; but this failed, after it rapidly became associated with violent extortion. Moreover, its link to the NRM (including through the wearing of yellow T-shirts, a colour strongly associated with the ruling party) was damaging NRM support among riders. During the ‘Buganda riots’ in 2009, the presence of boda-boda drivers was widely noted, leading to growing concerns that the sector harboured opposition elements, despite the president’s ongoing efforts to win favour by shielding them from regulatory control.
A new opportunity for the ruling elite to gain influence subsequently arose in the form of an organisation called Boda Boda 2010, which was initially a bottom-up organisation set up by drivers, with the intention of helping with emergency response.²⁹ Realising that they held a unique position of influence within the sector, some of the organisation’s leaders capitalised on this by approaching the inspector general of police (IGP), Kale Kayihura, and other political figures. Through this process, an influential local NRM leader by the name of Abdallah Kitatta, who was openly critical of the police’s previous approach to securitising the sector through Kuboca, managed to manoeuvre himself into the position of leader of Boda Boda 2010.
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²⁹ Interview with boda boda co-ordinator, June 2018.
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Kitatta's rise to prominence coincided with Kizza Besigye's attempt to galvanise a street uprising through the 'walk to work' protests. As an NRM mobiliser, Kitatta had created an alternative grassroots network to diffuse the threat of street insurrections. This endeared him to the president and other senior government officials (Mutazibwa, 2019). Kitatta thus became an increasingly powerful figure, widely feared by police themselves, due to his alleged close relationship with Kayihura. After 2011, he set about issuing 'stage cards' to riders to prevent stages (the specified areas in which boda-bodas are supposed to wait for customers) from being over-run with new drivers, and to facilitate surveillance within the sector. Through Boda Boda 2010, the sector achieved new levels of systematisation, such that Kitatta's organisation was becoming a sort of 'proto UTODA'.30 This was, however, achieved through violent enforcement and the politicisation of Boda Boda 2010, which was widely seen as a client organisation of Kayihura (a staunch Museveni loyalist), as well as a quasi-military agent of surveillance. In 2013 the organisation's agents blocked an early KCCA effort to register boda boda cyclists, allegedly beating up registration officials, while in 2017 its representatives attacked a group of schoolchildren, simply on the basis that they were wearing red ribbons -- a symbol associated with protest against the lifting of the presidential age limit (Daily Monitor 2017).
By 2015, a further row erupted about how to deal with the boda boda sector, with Musisi wanting KCCKA to regulate it directly, the lord mayor arguing that it should self-regulate, and Kayihura favouring deepened penetration by Boda Boda 2010. Kayihura's close relationship with the president meant that he prevailed -- at least initially. However, ultimately Boda Boda 2010 was recreating the conditions that had prevailed under Kuboca, but on a greater scale, with the organisation becoming increasingly armed with weapons and terrorising its drivers, thereby sowing the seeds for an uprising in the sector.31 Kitatta's downfall came when he was linked to the murder of an accountant in early 2018, providing Henry Tumukunda, the minister of national security and long-term NRM rival of Kayihura, with an opportunity to investigate Boda Boda 2010. This led to Kitatta's arrest and imprisonment, after which drivers stormed the organisation's offices, and the dominance of Boda Boda 2010 was over.
As of 2019, nothing similar had yet emerged to take the organisation's place. Rather, the most significant dynamic in the sector is its progressive urbanization, through organisations such as Safe Boda, Taxiify and UberBoda, as well as organisations like Tugende that provide training and hire-purchase services to enable drivers to gain financial security. It is hard to predict how repeated efforts to politically control the sector might be affected by these initiatives. However, it remains clear that the sector is too unruly to submit easily to domination without resorting to levels of violence that undermine the NRM's position. As larger numbers of university graduates end up as boda boda drivers and more entrepreneurs enter the sector offering 'premium' services, the difficulty in politically controlling it is only likely to increase.
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30 Ibid. 31 Interview with boda boda co-ordinator, June 2018.
\<page_number>30\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
The NRM's efforts to dominate the sector show how attempts to win over urban constituencies through shielding informal workers from taxation and regulation were ultimately insufficient for sustained support, leading to deepening efforts to also surveil and coerce drivers. These dual strategies have generated conflicting dynamics within the sector: on the one hand, the ruling coalition actively facilitated the growth of a large interest group that it purports to protect; but, on the other, it has indirectly terrorised them. In this sense, the strategy in the sector could be seen as a specific form of 'coercive distribution' (Goodfellow and Jackman 2020), in which drivers are offered a form of protection from state regulation, but through processes that are highly coercive – a strategy that ultimately over-reached itself and collapsed. This dual impetus towards livelihood creation and violent securitisation, evident also in the 'Crime Preventers' programme, creates a highly volatile and unpredictable landscape of urban youth politics in the run-up to the 2021 elections.
7. Conclusion
This paper has explored how Uganda's ruling coalition used a combination of violent coercion, co-optation and legal-institutional manoeuvres to try and enhance its political dominance of the city, drawing on diverse range of instruments in the toolbox of urban control presented by Goodfellow and Jackman (2020). From initially neglecting urban constituencies during its early decades of rule, the question of urban opposition became an increasing concern in the first decade of the new millennium. After the split with Besigye and the evidence of growing opposition in Kampala in the 2001 and 2006 elections, Museveni stepped up efforts to gain favour with urban groups in the late 2000s, including through persistent efforts to scupper the city council's attempts to regulate informal trade and transport. The combination of a populist anti-regulation message, the smearing and active weakening of the council and a range of strategies and tactics to manage the Buganda Kingdom relationship meant that the NRM succeeded in regaining some support in Kampala in 2011. But this was inadequate and short-lived, with Besigye relentlessly mobilising opposition on the streets and offering himself as a martyr in front of the media.
In this paper, we have subjected the NRM's strategies over the subsequent decade to close scrutiny. By the start of the decade, it was clear that the tried and tested strategies of repression and elite co-optation were insufficient to keep opposition from exploding on the streets of the capital, necessitating new approaches to urban control. These were pursued both from the 'top down', through legal and administrative manoeuvres, and from the 'bottom up', by attempting to build support among urban youth and more deeply infiltrate organisations in the urban informal economy. The urban modernisation project under Jennifer Musisi's KCCA, which put enormous effort into branding and generating civic pride, in the hope of bolstering urban middle-class support, initially yielded some rewards for the NRM elite. However, the effort to rid the streets of vendors and regulate many urban dwellers out of existence soon grated with a city population accustomed to a highly permissive urban environment (Young 2017). In the 2016 election, NRM support in Kampala and surrounding areas dipped to new
\<page_number>31\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
In consequence, the past four years have seen the ruling elite reinvent the strategy to centralise the governance of the city, alongside continued repression and a host of new street-level strategies to try and win over urban youth, the need for which has been amplified by the rise of Robert Kyagulanyi.
**Figure 5:** A timeline of the pursuit of dominance, 2010-2020
<img>
Timeline from 2010 to 2020.
Key events:
- 2010: Kampala Capital City Act 268/2003
- 2011: NRM party wins local elections with Jennifer Musisi
- 2013: Public Order Management Act passed
- 2015: NCA Amendment Bill introduced to further contain street protest
- 2016: Bobi Wine appointed Mayor of Kampala in protest of NRM support in the city
- 2018: Minister Musisi resigns, citing lack of support from national government
- 2020: Ministerial decision on NCA Amendment passed; Lukwago won election
</img>
<table>
<thead>
<tr>
<td></td>
<td>2010</td>
<td>2011</td>
<td>2013</td>
<td>2015</td>
<td>2016</td>
<td>2018</td>
<td>2020</td>
</tr>
</thead>
<tbody>
<tr>
<td></td>
<td>NRM party wins local elections with Jennifer Musisi</td>
<td></td>
<td></td>
<td></td>
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<td></td>
</tr>
<tr>
<td></td>
<td>Public Order Management Act passed</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Bobi Wine protests against police brutality</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Lukwago imposed new curfew on protesters</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Musisi's election campaign into campaign</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>NRA issues orders to arrest Lukwago</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Ryagulanyi arrested & released after FreeBobi/Wine campaign</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td></td>
<td>Bobi Wine challenges Lukwago as President in 2021</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td><img>Bobi Wine challenges Lukwago as President in 2021.</img><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>Urban governance reforms<br>Controversial urban politics<br>The battle for urban youth
</table>
A decade of pursuing this suite of strategies and tactics, which involve what Goodfellow and Jackman (2020) term ‘generative’ and ‘repressive’ interventions, in equal measure, has only reproduced the situation of contested control in the city. This decade has underscored the intense difficulty that both the government and opposition encounter in trying to assert urban dominance. Alongside continuing to exercise highly visible violence against opponents, the ruling elite’s overall approach has involved a central contradiction in its attempt to centralise power away from the city population while simultaneously championing popular urban groups. This approach fans the flames of opposition, even as it binds opposition figures’ hands. Figure 5 illustrates the interplay of these strategies (and responses to them) across the course of the decade.
In the final analysis, the suite of strategies deployed is clearly not enough to secure NRM dominance, particularly in a city where opposition has long been strong and where politics is highly informalised; yet it does provide the ruling elite with further levers to limit the opposition’s capacity to successfully contest dominance. The result is a continued impasse: the regime may rapidly be running out of options in its quest to fully dominate the capital, but time and again it has shown it can do enough to prevent urban opposition from becoming transformative or threatening the regime’s power and legitimacy nationally. Whether this can change in 2021 depends partly on
\<page_number>32\</page_number> Carrot, stick and statute: Elite strategies and contested dominance in Kampala.
whether opposition leaders can unify around a winning set of messages and counter-strategies. Yet is also depends on whether the key demographic in the struggle for change – the urban youth – have both the numbers and the nerve needed to face off the NRM’s overflowing armory of political weapons.
\<page_number>33\</page_number> Carrot, stick and statue: Elite strategies and contested dominance in Kampala.
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\<page_number>38\</page_number> <img>esid identifying routes to social justice</img>
**The Effective States and Inclusive Development Research Centre**
The Effective States and Inclusive Development Research Centre (ESID) aims to improve the use of governance research evidence in decision-making. Our key focus is on the role of state effectiveness and elite commitment in achieving inclusive development and social justice.
ESID is a partnership of highly reputed research and policy institutes based in Africa, Asia, Europe and North America. The lead institution is the University of Manchester.
The other institutional partners are:
- BRAC Institute of Governance and Development, BRAC University, Dhaka
- Center for Democratic Development, Accra
- Center for International Development, Harvard University, Boston
- Department of Political and Administrative Studies, University of Malawi, Zomba
- Graduate School of Development, Policy & Practice, Cape Town University
- Institute for Economic Growth, Delhi
In addition to its institutional partners, ESID has established a network of leading research collaborators and policyuptake experts.
email: esid@manchester.ac.uk Effective States and Inclusive Development Research Centre (ESID) Global Development Institute, School of Environment, Education and Development, The University of Manchester, Oxford Road, Manchester M13 9PL, UK www.effective-states.org
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<img>ORR logo</img>
Graham Richards Director, Planning and Performance 30 March 2020
Dear Stakeholder
**Consultation conclusion: Holding Highways England to account – ORR’s monitoring framework and enforcement policy for Highways England**
The second Road Investment Strategy (RIS2) sets out the funding available to Highways England covering the financial years 2020/21 to 2024/25.
Ahead of the start of RIS2, we consulted on an updated monitoring framework and enforcement policy for Highways England, titled *Holding Highways England to account*. The consultation on our draft policy ran from 6 January to 14 February 2020.
I would like to thank all those who took the time to respond to our consultation. The responses we received have allowed us to reflect on stakeholder views on our proposals and their impact.
This marks the conclusion of a piece of work which we had always intended to complete ahead of the second road period, though many of us are of course working in very different circumstances at present.
We have been engaging closely with Highways England in recent days and weeks, and will be continuing to do so in the weeks ahead, taking a pragmatic approach to our work as Monitor in the present circumstances.
**Overview of consultation responses**
We received 17 responses from a range of parties including Highways England, Transport Focus, Sub-national Transport Bodies (STBs) and local government, as well as trade associations, a community group and other respondents spanning the vehicle recovery industry, the supply chain, and academia.(^1)
Of those who responded directly to our consultation questions, all supported our proposal to bring our monitoring framework and enforcement policy into a single document, and almost all supported our intent to focus on early resolution to resolve issues wherever possible. Almost all agreed with our proposal to introduce hearings as an additional tool in our policy. Most respondents agreed that fines should always be a last resort. While many respondents supported our approach of seeking to
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(^1) We agreed to accept late responses from the Highways Term Maintenance Association (HTMA), the RAC and No Expressway Group (Woburn Sands)
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avoid fines being taken from money that would otherwise be spent on the network, there were some differing views on how this should be achieved.
We also identified a number of wider themes across the consultation responses which are discussed in turn below. We have also set out where we have made changes to our policy in response to the issues raised.
Some respondents also chose to highlight to us concerns which were not directly related to the matters on which we were consulting. We will be considering these matters as part of our business as usual activities as Monitor and will respond to those concerns as appropriate.
Our final published policy is available on our website here.
Yours sincerely
<signature>Graham Richards</signature>
Graham Richards
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**Consultation: summary of themes arising and ORR’s response**
**Combining our monitoring framework and enforcement policy** Of those who responded directly to our consultation questions, all agreed with our approach in setting out a single document covering our monitoring framework and enforcement policy. A number of respondents felt this was an appropriate change given that the activities of monitoring and enforcement are interlinked. Highways England also agreed that combining the two documents was appropriate as this reflects the continuum of activity which occurs in practice.
One respondent, No Expressway Group (Woburn Sands), provided comments on our Monitoring Highways England’s network investment document,² which sets out more information about how we monitor Highways England’s network investment plans. We are currently considering our approach to that document and will consider the feedback received in the context of that work stream.
**Focusing on early resolution** Of those who answered, almost all agreed that we should focus on early resolution to resolve issues wherever possible. Norfolk County Council felt that ORR should be able to meaningfully intervene on projects either at an individual scheme level, or clusters of schemes, and highlighted specific concerns relating to the delivery of improvement schemes on the A47.
Regarding the points raised by Norfolk County Council, there is an established change control process through which government can approve changes to the RIS and investment plan. This can include changes to the original timescales that were envisaged for RIS1 schemes to start work. Once changes have been approved by government, we then monitor and report on delivery of the revised programme. Three of the schemes raised by Norfolk County Council have been subject to this process, and are now expected to start work in road period 2, meaning that we will monitor delivery against the revised programme. RIS2 states that the fourth scheme (A47 Great Yarmouth Junctions) is also committed for road period 2 (2020-25), though its scope is under review in light of the new Great Yarmouth third river crossing.³
Midlands Connect said the early resolution principle is helpful but that it lacks a vital component, and recommended that there should be a clear and regular check that Highways England has sought external and expert views on how their schemes can be delivered more effectively and/or efficiently. Transport for the North made the point that it may be that the best investment for the Strategic Road Network (SRN) is improving the Major Road Network (MRN). While we recognise the points raised by
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² https://orr.gov.uk/\_data/assets/pdf_file/0009/23400/Monitoring-network-investment-conclusion.pdf
³ See RIS2: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/872252/road-investment-strategy-2-2020-2025.pdf
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STBs, ultimately it is for government to set the investment plan for the SRN and MRN. In this context we note and support the intent, as set out in DfT’s investment planning guidance for the MRN and Large Local Majors Programme for decision-making across both these and the RIS programmes to be joined up.
**Hearings** We asked respondents whether they agreed with our proposal to include hearings as a tool in our policy. Of those who answered this question, almost all were supportive of having hearings as a tool in our policy. The Chartered Institution of Highways and Transportation (CIHT) agreed with option 2, (as set out in our impact assessment), to focus the use of hearings on the investigation and early resolution stage.
Survive and Transport for the South East (TfSE) felt that hearings should bring additional transparency to our process. Other respondents commented on the importance of allowing affected parties or representative groups to be included in hearings, and that hearings should be able to take into account the views of localities, especially those of the local transport authority.
Balfour Beatty disagreed with the inclusion of hearings as a tool, and thought that hearings seem unlikely to be necessary, given our ability to investigate directly, or use other tools in our policy. Other respondents, while recognising the role that hearings could play, raised wider comments. For example, the Mineral Products Association (MPA) noted that hearings could risk being more about blame than evidence, while the Highways Term Maintenance Association (HTMA) said it was important for ORR to retain the capacity to hear views and evidence in private.
We welcome the engagement on hearings, and intend to proceed with the inclusion of hearings as set out in our policy, where consideration of their use would be focused in stage 2, investigation and early resolution. As well as being a useful mechanism to collect information and evidence, we expect the inclusion of hearings to provide an incentive for Highways England to resolve issues in order to avoid the need for a hearing. Therefore we believe that the addition of hearings serves a useful function in its own right, in addition to the other tools available to us.
With regard to the comments raised by respondents, a hearing is only one tool available to us. We continue to expect to be able to engage with and/or take evidence from stakeholders outside of the forum of a hearing. And, whilst we expect hearings to be “on the record”, we are not proposing that hearings are open to the general public. Any published record of a hearing would also respect commercial confidentiality.
Highways England accepted that hearings can be a useful addition, and said that it would be happy to work with ORR to further develop the concept to enable clarity around the expectations, who may be involved and when a hearing may be used. The company was also keen to understand our approach to transparency in relation to hearings.
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We recognise that hearings are a new tool in our policy, and therefore we consider it important that we retain flexibility to use them in a variety of circumstances, and to determine which parties are involved based on the nature of the issue, whilst also considering the most proportionate approach and the other tools available to us. We agree that transparency is an important principle, and we have therefore added additional text to our policy on hearings to make it clear that we would expect to agree the accuracy of any written record with those involved.
**Fines**
We asked respondents whether they agreed that a fine should always be a last resort. Of the 12 stakeholders who answered, 9 were in agreement with this approach, including Highways England, who said that any additional financial demand would reduce its ability to deliver service and outputs that benefit customers and the economy.
The MPA and Norfolk County Council both provided narrative responses and identified the risks associated with fines. For example the MPA identified the risk of depleting the company’s operating budget which could have further consequential impacts, and as such agreed that other measures should probably be sought first. Norfolk County Council disagreed with fines being sanctioned where this would only reduce the amount of funding for scheme delivery. In its response Balfour Beatty said that fines are inappropriate and meaningless as monies are just being returned to government.
We recognise that some stakeholders may disagree with the principle of imposing fines when money is returned to government. However, as Monitor we have been given the power to issue fines as part of our enforcement powers under the Infrastructure Act 2015, and our enforcement policy is expected to set out when and how this power may be used. We agree that a fine should be a last resort, and our policy makes this clear.
We also asked respondents about our approach to setting the level of any fine, and whether they agreed that we should seek to avoid taking money out of the business that would otherwise be spent on operating and maintaining the network and, where appropriate, consider setting fines at a level that enables Highways England to fund fines from management remuneration should it choose to do so. In practice, this would mean performance related or variable pay, which is by its nature discretionary.
Of the 13 respondents who addressed this point, 7 agreed with our approach.\\textsuperscript{4} Another respondent (HTMA) was sympathetic, but was also concerned about the possibility that it may promote unintended consequences, and wanted further clarity
\\textsuperscript{4} Although it did not respond to the individual questions, the RAC agreed with the proposals in the consultation document.
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on how this system would operate in practice. The MPA said that any fines should be commensurate with the seriousness and culpability of the contravention. In its response Balfour Beatty presumed that performance bonuses would already be impacted through a failure to meet targets.
TFSE and Midlands Connect disagreed with our approach, stating that fines should be reinvested in other transport projects. On this point, our powers under the Infrastructure Act allow us to require Highways England to pay a fine to the Secretary of State. We do not have powers to direct government on the use of these funds – and therefore it is beyond our remit to determine how the monies levied from any fine are spent once they are returned to government.
Highways England agreed that we should seek to avoid taking money out of the business that would otherwise be spent on operating and maintaining the network. However it disagreed with our proposed approach. It said that sizing fines to be capable of being funded from management remuneration, which in practice would mean Performance Related Pay (PRP) or variable pay, encroached on the remit of its Board and Remuneration Committee. It pointed out that PRP can and has already been reduced in relation to performance. It was also concerned that such an approach could create a public pressure for ORR to issue a fine, and for it to then reduce PRP/variable pay. It also raised practical considerations, such as timing, and the impact on positive incentives to deliver. In conclusion, it proposed that we seek to set the level of fines by alternative means.
After continued discussion with Highways England about its representation Highways England suggested alternative wording for our policy. In particular it thought that the reference point for the size of fine being management remuneration should be removed from our policy. We have considered this as a hybrid between the two options we originally set out in our impact assessment. It maintains the intent of option 2 to protect the funding for Highways England’s day-to-day operations. But, without a specific alternative mechanism for sizing fines, it reflects the open-ended flexibility of option 1.
We have reflected carefully on the points raised, particularly by Highways England, who would be most directly impacted by our approach to fines.
Under our current enforcement policy, which has been in place during the first road period, we set out the likely maximum amount we would fine Highways England at 1% of Highways England’s average annual funding, around £25m. We set this significantly below the 10% of turnover limit that is typical in other regulated sectors to reflect Highways England’s status as a public sector body, and where fines are likely to have a reputational impact. Given the increase in funding announced for the second road period, without changes our policy could create an impression we could fine Highways England around £50m for the most serious instance of non-compliance.
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Overall respondents supported our objective of seeking to minimise the risk that fines reduce the funding for Highways England to do its day job. And Highways England considers any additional financial demand (which would logically include any fine we impose) would reduce its ability to deliver. Therefore we believe the option to scale fines so they could be funded from resources that would otherwise be used for management remuneration (meaning discretionary pay, like PRP) remains the best way to achieve our objective, whilst maintaining fines as an appropriate and proportionate tool to incentivise the company.
It is important to note that our proposed approach provides a mechanism for setting the size of fines. It does not direct Highways England to fund fines from management PRP. Our policy is clear that the decision on how to fund any fine remains for Highways England to make. Our policy also retains the flexibility to scale fines differently, if we determine it to be appropriate. We have made some amendments to the wording of the key clause in our policy in order to make this intent clearer.
We have also considered the points raised by Highways England and others on the need for our approach to avoid unintended consequences, as well as the practical considerations raised by Highways England relating to timing and impact on positive incentives to deliver. We have made some changes to our policy as a result.
We have amended our policy so that it is clear that any decisions the company has already taken to reduce PRP would be a factor both in determining whether to proceed with a fine, and also, when calculating the quantum of any fine. Taken together the net effect of these and any mitigating and aggravating factors could potentially reduce a fine to zero (or increase it, depending on the circumstances). We have also clarified the process for notifying Highways England of our intent to take statutory enforcement action, should we decide to do so.
**Other themes arising from consultation responses**
We also identified a number of wider themes across the consultation responses which are discussed in turn below. We have also set out where we have made changes to our policy in response to feedback.
**Economic and environmental outcomes**
Some STB responses said that we should set out more clearly how and who we will engage to monitor Highways England’s performance in relation to economic and environmental outcomes, or that there should be a clearer focus on monitoring performance in these areas. A number of respondents were also interested in how our approach to monitoring fits into wider government policy on climate change. For example, England’s Economic Heartland commented on the need for our monitoring to ensure Highways England’s approach is consistent with the government’s 2050 target to achieve net zero emissions.
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Our approach will be guided by the expectations that are set out for Highways England in the RIS and in its Licence. The performance specification sets out government’s high-level expectations for Highways England and the SRN during each road period, and draws on specific aspects of the government’s long-term vision for the road network and how it supports the economy and the environment, as well as safety and mobility. Much of the detail of what we monitor is therefore set out in the performance specification and investment plan which will necessarily change from RIS to RIS. Therefore we have not attempted to capture the detail of all of the outcomes we monitor in our policy.
However, the RIS2 performance specification will cover more aspects of Highways England’s environmental performance than in RIS1. This means that in RIS2 we will monitor and report on Highways England’s performance against a new KPI on air quality, as well as a new biodiversity metric. We will also monitor and publicly report on Highways England’s progress towards reducing its own carbon emissions. The target for this measure will be set during road period 2. We will also monitor and publicly report on carbon emissions from the supply chain. And we will continue to monitor the company’s work to mitigate noise important areas, as well as delivery of the Designated Funds programme. In RIS2 this will include a new Environment and Wellbeing Fund to support environmental and community wellbeing outcomes across the SRN.
We also expect Highways England to continue to carry out post-opening project evaluations (POPEs) during RIS2, which assess whether the expected costs and benefits of schemes have been achieved. We will monitor Highways England on its use of intelligence from POPEs to build the evidence base to support future investment decisions across the whole portfolio.
**Stakeholder engagement**
Stakeholder engagement was a further theme in the consultation responses. For example some STB respondents wanted us to state more explicitly how local and regional bodies such as local highways authorities (LHAs) and STBs will be involved in the monitoring process.
To allow us to assess Highways England’s performance in the round we gather information from a range of sources, including talking to key stakeholders and members of the supply chain. This helps us understand issues and risks to Highways England delivering its objectives. We expect our ongoing programme of stakeholder engagement to continue to support this. We currently attend quarterly liaison meetings with STBs – and welcome the opportunity to develop and build on these relationships during road period 2.
There are also specific aspects of our monitoring work that might require us to consider how Highways England is engaging with its stakeholders. For example, as part of the RIS2 performance specification we will report on a new performance indicator relating to the company’s work with local highways authorities to review
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diversion routes for unplanned events, as well as monitoring a commitment to investigate a new metric on delays on the local road/SRN boundary.
We also recognise that the landscape in which Highways England operates is changing with the advent of new stakeholders such as STBs, and where the MRN also means greater focus on the interaction between the SRN and the local road network. Against this context we are commissioning work this year to review how Highways England engages with key local and regional partners. This will include exploring which aspects of Highways England’s functions are most important to local and regional stakeholders, engaging with Highways England to understand how it is already involving local and regional stakeholders in its planning and delivery of its functions, and identifying any barriers to engagement. We expect this work to make recommendations to us on how we could incorporate local and regional stakeholder feedback into our routine monitoring functions. In response to the feedback received via the consultation we have added new text to our policy that recognises that we may need to draw on the insight of stakeholders, including local and regional bodies, when gathering information.
We have also considered the request made by England’s Economic Heartland to name STBs as a key stakeholder in the monitoring process, and to amend our policy to reflect how effective Highways England has been in meeting the priorities identified by STBs. We have considered this within the context of our remit and role. And particularly, that in advising government on future RISs, we do not make decisions about the investment programme, or which schemes go ahead.
As Monitor we want to retain the flexibility to engage with a broad range of stakeholders where it may assist our work monitoring the RIS and assessing Licence compliance, and also advising on future RISs. There is a risk that by naming specific stakeholder groups in our policy, we may exclude others whose views we may wish to seek when carrying out our work.
Highways England’s Licence also sets out a duty to cooperate for the purposes of coordinating day-to-day operations, and long-term planning, and includes a wide range of stakeholders with whom the company should co-operate when complying with this duty. And, as above, the RIS might also set further expectations on Highways England in terms of working with stakeholders. In other words, there are a number of sources which may determine who we need to engage with when carrying out our work. Therefore we are not persuaded that naming specific stakeholder groups in our policy is beneficial.
However, we recognise the important role of STBs, and also, that STBs are seeking a collaborative approach to the development of RIS3. We set out our approach to advising on RIS2 in December 2016, where looking at how plans were informed by stakeholder engagement formed part of our assessment. We will consider how our approach may need to evolve to consider this new environment ahead of RIS3.
**User focus**
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Transport Focus agreed with our proposals but felt that our draft *Holding to account* document missed an opportunity to put the interests of those using Highways England’s roads at the heart of our approach. It felt that both the framework and document should be geared to the consumer, including the impact on road users of Highways England failing to deliver a requirement of the RIS or its Licence. It felt that our strategic objective could be re-defined to make this clearer.
The Infrastructure Act sets out a number of factors we must have regard to when carrying out our duties as Monitor. These include the interests and safety of users, and also, the economic and environmental impact of the way Highways England achieves its objectives, as well as the long-term maintenance and management of highways. These factors are not in any order of priority and it is for us to give appropriate weight to all factors when considering enforcement in each individual case. However our policy is clear both when assessing concerns, and when determining whether to take statutory enforcement action, we will consider the impact of the contravention on users of the SRN.
ORR’s overall objective is to protect the interests of rail and road users, both now and in the future. And our role as Monitor is focused on delivering better outcomes for road users and taxpayers. In defining our strategic objective we are clear that our role is focused on benefiting all those who use, or are affected by, the SRN. In response to feedback from Transport Focus we have amended our policy to set out in more detail the user groups this includes (whilst recognising that this may not be an exhaustive list). On our strategic objective specifically, we welcome the feedback received. Our strategic objectives are considered on a cyclical basis and we will take into account the views expressed by Transport Focus in the next iteration of this cycle.
**Safety**
Survive, which brings together the roadside recovery industry, urged us to consider the position of roadside breakdown/recovery workers when we are reviewing the safety performance of Highways England. As with the economic and environmental areas discussed above, our safety monitoring is based on the RIS and Licence. It includes reporting on Highways England’s progress towards the target to reduce the number of people killed or seriously injured (KSIs) on the SRN, and a suite of supporting indicators. KSIs data would include recovery workers in the wider population, but because the KSIs data used on which is collected by police forces in England, does not disaggregate KSIs for recovery workers as a group. We therefore welcome the opportunity to engage with Survive to understand its views and consider this in our wider monitoring of safety.
Survive also urged ORR to monitor the effectiveness of smart motorways in all their formats. The government has recently published the results of its stocktake on smart motorway safety. ORR will now need to give consideration to any implications arising for our work as Monitor.
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**Lorry parking**
The Road Haulage Association highlighted the importance of addressing lorry parking provision through RIS2. We expect improvements to lorry parking to come within the scope of the company's Designated Funds programme, under the Users and Communities Fund. Unlike the enhancements programme, these funds are not specified in advance, but instead Highways England will work with stakeholders to invest the funds over the course of road period 2. Our role will be to monitor the company's management of its designated funds. The RHA also felt that there was more to do to achieve better planning of roadworks. We will consider this feedback in our engagement with Highways England.
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Getting Started with TEMPRO (Version 6.2)
**Getting Started with TEMPRO (Version 6.2)**
**System Requirements**
*Processor:* 1 GHz or faster 32-bit (x86) or 64-bit (x64) processor *Memory:* Most of the TEMPRO functionality can be utilised with as little as 1GB of RAM. However the alternative assumption calculations for Origin Destination data are more memory intensive and can require over 2GB, depending upon the size of the selected geographical area. It is recommended that 2GB be installed. *Operating System:* Windows 7, Windows Vista or Windows XP *Disk:* Up to 500MB for .NET Framework 3.5 *Space:* 30MB for the TEMPRO System --600MB for a full set of NTEM datasets (though this increases if you have multiple versions of the datasets) *Display:* Minimum 800x600, 256 colours
**Installing the TEMPRO Software**
1. Download the full TEMPRO installation package from the web site, the file name is Tempro_System_091217_62.exe.
2. To install TEMPRO you must have administrator rights. If your organisation has an IT department then we recommend that they install the software for you, ensuring that all users have rights to use the software. If you do not have the support of an IT department and are unsure how to gain administrator rights then please contact the TEMPRO support team.
3. Run Tempro_System_091217_62.exe which will start the installation routine for the software. This brings up the installation splash form.
<img>TEMPRO Version 6.2 - InstallShield Wizard</img>
Document Version 1.0.0 \<page_number>Page 1 of 7\</page_number> 17th December 2009 Getting Started with TEMPRO (Version 6.2)
4. Click on the Next button to move on to the Welcome form.
<img>TEMPRO Version 6.2 - InstallShield Wizard</img>
5. Click on Next to continue with the installation. The following form allows the installer to specify the folder into which TEMPRO version 6.2 will be installed. By default the folder is c:\\Program Files\\TEMPRO6. If this is acceptable select Next.
<img>TEMPRO Version 6.2 - InstallShield Wizard</img>
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6. If you wish to change the installation folder then click on **Change...** to bring up the folder selection dialogue that allows you to navigate to the desired folder via a browser interface or to enter the folder path into the **Folder name:** field.
<img>TEMPRO Version 6.2 - InstallShield Wizard</img>
7. The next form allows you to specify the location of the folder in which the NTEM data sets will be placed.
<img>TEMPRO Version 6.2 - InstallShield Wizard</img>
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The default folder is the `DATA` sub-folder of the installation location. Should you wish to change this then select **Change...** to bring up a folder selection dialogue. Selecting **Next** accepts the default.
Please see the instructions later in this document for advice on how to configure TEMPRO so that the NITEM datasets can be stored on a central server for use by multiple TEMPRO users.
8. The next form shows the progress of the installation. Clicking on **Cancel** at any stage halts the installation process and no changes are made to your PC.
<img>TEMPRO Version 6.2 - InstallShield Wizard</img>
09. A final form indicates that installation is complete. Click **Finish** to exit from the installation package.
10. Please note that the installation package will install Version 3.5 of the .NET framework if it is not already present on your PC.
**Upgrading from TEMPRO Versions 6.0 or 6.1**
If you already have a version of TEMPRO 6 on your PC you can download and run the (much smaller) TEMPRO 6.2 upgrade installation package, **Upgrade Tempro 6 to 62_091217_62.exe**. The installation process is exactly as for the full installation.
Please note that the workspace database (`dbTEMPROSavedSelections.mdb`, used to store saved workspaces, study areas, etc.) will be overwritten during the upgrade. If it is essential that you retain the saved items you must:
- Copy `dbTEMPROSavedSelections.mdb` (it can be found in the `/DATA/` folder) to `dbTEMPROSavedSelections.v61` prior to running the upgrade installation package
- e-mail `dbTEMPROSavedSelections.v61` to Tempro support (`tempro@dtf.gsi.gov.uk`) for conversion to the version 6.2 format
- Replace the installed `dbTEMPROSavedSelections.mdb` with that returned to you from Tempro support.
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**Installing Under 64-Bit Versions of Windows**
TEMPRO Version 6.2 is a 32-Bit application but will run under 64-Bit versions of Windows using the WOW64 subsystem. Note, however, that the default installation folder is
C:\\Program Files (x86)\\TEMPRO6
and the default DATA folder is
C:\\Program Files (x86)\\TEMPRO6\\DATA.
**NTEM Datasets.**
The NTEM data is divided up by English Government Regions, Scotland and Wales with separate data files for each. These data files can be downloaded and then extracted and used as required – users need only download those regions they wish to use. ITEA will be updating these data files on an occasional basis and will post the latest version of each NTEM data file on the site. Users who have given a valid email address when registering on the web site will be contacted by email to tell them of new releases of the program and data files.
1. Download the required NTEM datasets from the web site.
2. Each downloaded file is a self-extracting zip file, which will extract the data set file to the default data directory for 32-Bit Windows (c:\\Program Files\\TEMPRO6\\DATA). To extract the data from the downloaded file, simply open windows explorer and locate the file. Right click on the downloaded file, and click on Open. A WinZip window will appear, check the destination folder is correct and then Click on the Unzip button. If you have changed the DATA folder during installation, or you are running TEMPRO under a 64-Bit version of Windows (where the default DATA folder is C:\\Program Files (x86)\\TEMPRO6\\DATA), then you will need to change the destination folder.
3. One you have successfully extracted the data set file from the downloaded file, if you wish you can delete the downloaded file from your machine.
4. The data set files are Microsoft Access Database files which have been password protected.
**Changing Data Locations**
TEMPRO requires a number of databases for its operation:
- NTEM (regional) databases that contain, at a zonal level and by Time Period
- Planning Data for the zone
- Production, Attraction, Origin and Destination Trip-End data broken down by Transport Mode, Year and Trip Purpose
- Trip End data by Car Availability
- Car Ownership data
- An NTM Traffic Growth database that contains the available datasets (NTMTrafficForecastDB.mdb)
- A database in which to store saved workspaces, study areas, etc. (dtbTEMPROsavedSelections.mdb)
By default these databases are stored in the \<data_folder>\\sub-folder of the installation folder (\<data_folder>\\TEMPRO6 unless otherwise selected by the user during the installation process).
Occasionally you may wish to change these locations, for example, if the regional data is to be held on a central server. If this is the case initially follow the default installation instructions above and copy a single NTEM dataset to the default DATA folder (this can be deleted once the process is complete). Now run TEMPRO as an Administrator. Again, this may require the involvement of your IT department.
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When you belong to the 'Administrators' group (and, in the case of Windows Vista or Windows 7, have run TEMPRO as an Administrator) then the icon is visible on the toolbar of the Main form. Clicking on the icon produces the Data Locations form.
<img>Data Locations form</img>
New data locations can be selected in each case by clicking on the folder selection button. This brings up a folder selection dialogue.
<img>Browse For Folder dialogue box</img>
Clicking on Save from the Data Locations form commits the updated data locations to the Windows Registry but they will not become effective until TEMPRO is closed down and opened again. Clicking on the Further Information button produces the following information.
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<img>A window titled "Further Information on Data Locations" with text describing the Regional Data location, NTM Data location, Workspace Data location, and a warning about changing these locations.</img>
Please take heed of its warning! In addition, it is inadvisable to install the Workspace database in a shared location as this can result in conflicting updates when multiple users attempt to change it simultaneously. TEMPRO is not designed for simultaneous use by multiple users.
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<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchase Order Number</th>
<th>Total Value</th>
<th>Supplier Name</th>
<th>Account Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Richdale Borough Council</td>
<td>dt061609<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016<br>03/01/2016</td>
<td>$8,858.97<br>$2,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97<br>$4,599.97</td>
<td>CLOVER SECURITY SERVICES LIMITED</td>
<td>TRAINING</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dI6647<br>dI6888</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dI28888</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dI281905</td>
<td></td>
<td></td>
<td>ECONOMIC DEVELOPMENT SPACES ROCHDALE PROJECT CO LTD</td>
<td>PUBLIC TRANSPORT</td>
<td>PROPERTY AND HIGHWAYS MANAGEMENT AND MAINTENANCE</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dI34845</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dI28727</td>
<td></td>
<td></td>
<td>TAX HIRE - FUNDING ACTION GROUP</td>
<td>PUBLIC TRANSPORT - FUNDING ACTION GROUP - OTHER LOCAL AUTHORITIES - OTHER PUBLIC SERVICES - EQUIPMENT - GENERAL - IMPROVEMENTS - REDEVELOPMENT - CONTRACTED SERVICES - PFI SCHEMES - PRIX - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVELLING GENERAL EXPENSES - TRAVILL
<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchase Order Number</th>
<th>Total Value</th>
<th>Supplier Name</th>
<th>Account Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Richdale Borough Council</td>
<td>dt06203</td>
<td>$14,238.01</td>
<td>SCH SCHLAFFER LIMITED</td>
<td>PURCHASE OF OTHER EQUIPMENT</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dt06204</td>
<td>$16,750.00</td>
<td>585.0000. STREAM TEC IN TAXIS LTD</td>
<td>TAXI HIRE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dt07096</td>
<td>$22,000.00</td>
<td>22,000.00. DREAMS FOR KIDS CHARITABLE TRUST</td>
<td>IT MAINTENANCE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>qt10797</td>
<td>$19,161.66</td>
<td>$22,000.00. DREAMS FOR KIDS CHARITABLE TRUST</td>
<td>INPUT VAT - ADJUSTMENTS</td>
<td>FINANCE SERVICES</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>qt10797</td>
<td>$5,555.00</td>
<td>ELECTRONIC COMMUNICATION SERVICES LTD</td>
<td>IT EQUIPMENT - GENERAL</td>
<td>FINANCE SERVICES</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dt06240</td>
<td>$2,279.15</td>
<td>$2,279.15. NORTHTYPE VEHICLE HIRE LIMITED</td>
<td>EQUIPMENT - GENERAL, TRANSACTIONS-EXPENDITURE, CONTRACTED SERVICES, EQUIPMENT - GENERAL, CAPITAL SALES, AGENCY STATIONARY, SOFTWARE, PUBLIC HEALTH, EARLY HELP AND SCHOOLS, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT,</td>
<td></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dt06252</td>
<td>$133.332.48</td>
<td>NORTHTYPE VEHICLE HIRE LIMITED PARTNERSHIP LTD.</td>
<td>EQUIPMENT - GENERAL, TRANSACTIONS-EXPENDITURE, CONTRACTED SERVICES, EQUIPMENT - GENERAL, CAPITAL SALES, AGENCY STATIONARY, SOFTWARE, PUBLIC HEALTH, EARLY HELP AND SCHOOLS, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT, NEIGHBOURHOODS AND ENVIRONMENT,</td>
<td></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>dt06252</td>
<td>$77.000.00</td>
<td>SIXTH PARTY PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP LIMITED THREE PARTNERSHIP LLP Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partnerships Limited Three Partn...</td>
<td></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>qt10899</td>
<td>$147.433.48</td>
<td>HALLAM STREET BRISTOL LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALLAM STREET LTD BRIAN HALL AMEET LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE LANE...
<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchase Order Number</th>
<th>Total Value</th>
<th>Supplier Name</th>
<th>Account Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Richdale Borough Council</td>
<td>e102160<br>t021104</td>
<td>E96153.27<br>RPSPDIESPACES ROCDALE PROJECT CO1 LTD</td>
<td>NEW CONSTRUCTION</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>e102281<br>t021106</td>
<td>E7119.90<br>RPSPDIESPACES ROCDALE PROJECT CO1 LTD</td>
<td>NEW CONSTRUCTION</td>
<td>EARLY HELP AND SCHOOLS</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>e021164<br>t021108</td>
<td>E6.400.00<br>KAPOM CHEERSTL LTD</td>
<td>PENALTY PAYMENT CONTRACT<br>FEE / COMMISSIONS</td>
<td>PUBLIC HEALTH<br>PUBLIC HEALTH AND SCHOOLS</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>d162629<br>t021110</td>
<td>E33.560.00<br>UNIT PANTHERESHP LTD</td>
<td>SUPPLEMENTARY FEES<br>CONSULTANT FEES<br>FEE(S) SHARED WITH OTHERS</td>
<td>PUBLIC HEALTH AND SCHOOLS<br>PUBLIC HEALTH AND SCHOOLS</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>e023996<br>t021112</td>
<td>E38.873.58<br>BURRY MBC</td>
<td>OTHER EST - SEN PROVISION<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT<br>PENALTY PAYMENT CONTRACT</td>
<td>PUBLIC HEALTH</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>p101666<br>t021114</td>
<td>E38.873.58 CAROL CARS LTD</td>
<td>POSTAGE</td>
<td>DIRECTIVE SERVICES LIMITED</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>p101668<br>t021116</td>
<td>E355.474.57 PENNINE CARE NHS</td>
<td>DIRECTIVE SERVICES LIMITED</td>
<td>DIRECTIVE SERVICES LIMITED</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>f104947<br>t021120</td>
<td>E55.000.00 CHOTQM LIMTED LTD (CIC)</td>
<td>DIRECTIVE SERVICES LIMITED (CIC)</td>
<td>DIRECTIVE SERVICES LIMITED (CIC)</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>f104949<br>t021122</td>
<td>E55.000.00 CHOTQM LIMTED LTD (CIC)</td>
<td>DIRECTIVE SERVICES LIMITED (CIC)</td>
<td>DIRECTIVE SERVICES LIMITED (CIC)</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>d162839<br>t021124</td>
<td>E75.575.75 GROUNDRIGHTS LIMITED MANAGEMENT CO.</td>
<td>GRANTS TO THE NON VOLUNTARY SECTOR FEE(S) - CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONVERSION RENEWATION PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURCHASE OF OTHER EQUIPMENT PURENTION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - CONSTRUCTION CONSTRUCTION CONVERSION RENEWATION FEE(S) - 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Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractors Contracting Contractor's Construction Services Limited (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</th><th>DIRECTIVE SERVICES LIMITED (CIC)</ths></tr>
<tr style="background-color: #f2f2f2;">
<td>Richdale Borough Council</table>
<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchaser Order Number</th>
<th>Total Value</th>
<th>Supplier Name</th>
<th>Account Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Richdale Borough Council</td>
<td><strong>d08265C</strong></td>
<td><strong>$21,101.94</strong></td>
<td><strong>12.646.00 CARROU GREEN WARMTH LLP</strong></td>
<td><strong>GRANTS TO THE NON VOLUNTARY SECTOR</strong></td>
<td><strong>NEIGHBOURHOODS AND ENVIRONMENT</strong></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td><strong>d162931</strong></td>
<td><strong>$21,101.94</strong></td>
<td><strong>20,800.00 TINTINY MIRROR PUBLISHERS LTD</strong></td>
<td><strong>ADVERTISING</strong></td>
<td><strong>PROPERTY AND HIGHWAYS</strong></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td><strong>d162931</strong></td>
<td><strong>$21,101.94</strong></td>
<td><strong>20,800.00 TINTINY MIRROR PUBLISHERS LTD</strong></td>
<td><strong>PURCHASE OF PLANT AND MACHINERY</strong></td>
<td><strong>PROPERTY AND HIGHWAYS</strong></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td><strong>d162931</strong></td>
<td><strong>$21,101.94</strong></td>
<td><strong>243.378.5 AXIOM EDUCATION (ROCHALES) LIMITED</strong></td>
<td><strong>MEALS</strong></td>
<td><strong>NEIGHBOURHOODS AND ENVIRONMENT</strong></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td><strong>d162931</strong></td>
<td><strong>$21,101.94</strong></td>
<td><strong>243.378.5 AXIOM EDUCATION (ROCHALES) LIMITED</strong></td>
<td><strong>SOFTWARE</strong></td>
<td><strong>EARLY HELP AND SCHOOLS</strong></td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td><strong>d162931</strong></td>
<td><strong>$21,101.94</strong></td>
<td><strong>243.378.5 TRIBLEK UMBRELLAS LTD.</strong></td>
<td><strong>ACTIVITIES MANAGEMENT SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES OTHER SERVICES SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOFTWARE SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIONS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOLUTIOIIS SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTW ARE SOFTWARE ECONOMY DIRECTORATE CHILDREN'S SOCIAL CARE PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH PUBLIC HEALTH ECONOMY DIRECTORATE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL CARE CHILDREN'S SOCIAL Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care Childen's Social Care CHILDREN'S SOCIA
<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchase Order Number</th>
<th>Date</th>
<th>Total Value</th>
<th>Supplier Name</th>
<th>Account Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Richdale Borough Council</td>
<td>at018650</td>
<td>08/10/2016</td>
<td>$3,000.00</td>
<td>EAPB UPUBLISHING LIMITED</td>
<td>BUDGET TO BE ALLOCATED</td>
<td>FINANCE SERVICES</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>d036787</td>
<td>07/12/2016</td>
<td>$4,239.00</td>
<td>S3S SCHAEFER LIMITED</td>
<td>PURCHASE OF OTHER EQUIPMENT</td>
<td>FINANCE SERVICES AND ENVIRONMENTAL HEALTH AND ENVIRONMENTAL MANAGEMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>d036788</td>
<td>07/12/2016</td>
<td>$4,239.00</td>
<td>S3S SCHAEFER LIMITED</td>
<td>EQUIPMENT - GENERAL (ELECTRICAL)</td>
<td>FINANCE SERVICES AND ENVIRONMENTAL HEALTH AND ENVIRONMENTAL MANAGEMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>d036863</td>
<td>07/12/2016</td>
<td>$14,168.00</td>
<td>EARLY ORPHANSMAN LTD.</td>
<td>TREES, SHRUBS, PLANTS BRIDGES STRUCTURAL WORKS</td>
<td>ECONOMY DIRECTORATE, NEIGHBOURHOODS AND ENVIRONMENTAL HEALTH AND ENVIRONMENTAL MANAGEMENT</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>d036867</td>
<td>07/12/2016</td>
<td>$5,000.00</td>
<td>A C Yates LTD.</td>
<td>GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SECTOR GRANTS TO THE NON VOLUNTARY SEctor G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S T O T H E N O N V O L U N T A R Y S E C T O R G R A N T S TO THE NON VOLUNTARY SECTORS OFTEN NOT RECOGNISED AS PART OF THIS BUDGET) (ECONOMY DIRECTORATE, NEIGHBOURHOODS AND ENVIRONMENTAL HEALTH AND ENVIRONMENTAL MANAGEMENT)</td>
</tr>
<tr>
<td>Richdale Borough Council</td>
<td>e102430</td>
<td>07/12/2016</td>
<td>$8,819.00</td>
<td>AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATION (ROCHDALE) LIMITED AKIM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDAK IM EDUCATI ONED( ROCHA LE )LIMITEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M EDUCA TIONEDIK M 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DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DDR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR DR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRIRRI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI RI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IRI IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IR IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN ININININININININININININININININININININININININININININININININININININININININININININNIIIIIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII IIIIII 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<table>
<thead>
<tr>
<th>Organisation Name</th>
<th>Purchase Order Number</th>
<th>Order Date</th>
<th>Total Value</th>
<th>Supplier Name</th>
<th>Account Name</th>
<th>Service</th>
</tr>
</thead>
<tbody>
<tr>
<td>Rochdale Borough Council</td>
<td>s102109</td>
<td>19/12/2016</td>
<td>$5,326.08</td>
<td>D W TAYLOR & SON LTD</td>
<td>MINOR BUILDING WORKS</td>
<td>PHYSICAL DIS & OLDER PEOPLE</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>d163392</td>
<td>20/12/2016</td>
<td>$80,842.43</td>
<td>CARIBOU GREEN WARMTH LLP</td>
<td>GRANTS TO THE NON VOLUNTARY SECTOR</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>t101460</td>
<td>20/12/2016</td>
<td>$7,812.09</td>
<td>SERVICE PROVIDER FOR VETERINARY SERVICE ROCHDALE LTD</td>
<td>PH OTHER CONTRACTS SOFTWARE</td>
<td>NEIGHBOURHOODS AND ENVIRONMENT</td>
</tr>
<tr>
<td>Rochdale Borough Council</td>
<td>t108345</td>
<td>20/12/2016</td>
<td>$7,812.09</td>
<td>SOFTEX LTD COMPUTER CENTRES PLC.</td>
<td>SOFTWARE SOFTWARE INVESTIGATION SOFTWARE SUPPORT FEES ADVICE/SUPPORT SOFTWARE SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE SUPPORT SOFTWARE Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Support Software Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply Services Supply 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4423-pdf
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<img>n northern logo</img>
**For the Attention of:** Marcus Clements Head of Consumer policy Directorate of Railway Markets & Economics Office of Road and Rail Regulator.
Martin Howard Head of Customer Experience Northern Railway
E: T:
Monday 26th November 2018
Dear Marcus
**Re: Compliance with Condition 6 Station Licence and GB Statement of National Regulatory Provisions: Passenger**
I am writing in response to your letter dated 14th November, following our meeting in London in October.
In my previous letter of 8th October I advised that the measures we are taking would bring us back within the SLA (95% of complaints responded to within 20 working days) within 3 rail periods. At the subsequent meeting John Smith and I did suggest that we hoped that this may be achieved sooner.
I agree that the weekly reports that we have continued to send through have shown a slow movement back towards the SLA, but when we are still dealing with a significant, albeit reducing, quantity of complaints older than 20 working days it will naturally bring down that percentage. Throughout this we continue to receive a high number of new complaints.
The latest weekly report has shown an improvement to 79.2%, and I am pleased to advise that the report for week ending 30th November will show us back within SLA. This is ahead of the original forecast of 3 rail periods.
I believe this shows the measures we have taken to be effective. Our efforts will now be on continuous improvement.
I would be happy to provide any further information you may require.
Yours sincerely
<signature>Signature</signature>
Martin Howard Head of Customer Experience Northern
www.northernrailway.co.uk
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4380-pdf
|
Calderdale Metropolitan Borough Council – Council Management Structure Salary details correct as at March 2018, directorate structure as at April 2018
Chief Executive's Office Director of Adult and Children's Services Grade – Chief Executive Salary – 14000-144999 Salary ceiling – 15000 Permanent chief.executive@calderdale.gov.uk
Adult and Children's Service Director of Adult and Children's Services Grade – Group director (level 3) Salary – 125000-129999 Salary ceiling – 127000 Permanent 01422 288001
Public Services Director of Public Services Grade – Group director (level 4) Salary – 95000-96999 Salary ceiling – 118000 Permanent 01422 288001
Regeneration and Strategy Director of Regeneration and Strategy Grade – Group director (level 3) Salary – 125000-129999 Salary ceiling – 127000 Permanent 01422 288001
Public Health Director of Public Health Grade – Group director Salary – 7500-79999 Salary ceiling – 102000 Permanent 01422 288001
Democratic and Partnership Services Head of Democratic and Partnership Services Grade – Group director (level 5) Salary – 8500-89999 Salary ceiling – 8500 Permanent law.admin@calderdale.gov.uk
Adults Assistant Director of Adults Grade – Group director (level 7) Salary – 95000-96999 Salary ceiling – 96999 Permanent gatewaytocare@calderdale.gov.uk
Customer Services Assistant Director of Customer Services Grade – Group director (level 5) Salary – 8500-89999 Salary ceiling – 8500 Permanent 01422 288001
Highways and Transportation Head of Highways and Transportation Grade – Group director (level 6) Salary – 7500-79999 Salary ceiling – 77000 Permanent 01422 288001
Clinical Group Public Health Consultant - Clinical Group Grade – Group director (level 6) Salary – 7500-79999 Salary ceiling – 77000 Permanent \<page_number>14\</page_number>
Major Projects Corporate Lead - Major Projects Function Grade – Group director (level 6) Salary – 5500-56999 Salary ceiling – 57500 Permanent \<page_number>14\</page_number> Health Improvement Services and Public Health - Intelligence Function Public Health Consultant - Health Improvement Services and Public Health - Intelligence Function Grade – Group director (level 6) Salary – 7500-79999 Salary ceiling – 77500 Permanent
Development Development Manager Grade – HAY 4 Salary – £45,543-£54,363 Salary ceiling – £54,363 Permanent \<page_number>14\</page_number>
Housing Access and Waste Housing Access and Waste Manager Grade – HAY 4 Salary – £45,543-£54,363 Salary ceiling – £54,363 Permanent \<page_number>14\</page_number>
Corporate Assets and Facilities Management Lead for Corporate Asset and Facilities Management Grade – HAY 4 Salary – £55,563-£63,363 Salary ceiling – £63,363 Permanent \<page_number>14\</page_number>
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1717-pdf
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<img>The National Archives logo</img>
# Checklist for public sector bodies: Get ready for re-use of public sector information
Compliance with The Re-use of Public Sector Information Regulations 2015 will be mandatory but also beneficial to public sector bodies – it will enhance their transparency and accountability, while re-use will continue to enable economic and social benefits.
<table>
<tr>
<td>DEFINE<br>Benefits of re-use and transparency</td>
<td>CREATE<br>Information asset register</td>
<td>MAKE<br>Data accessible and re-usable, open and machine-readable when possible</td>
<td>COMPLY<br>With the 2015 Regulations</td>
</tr>
<tr>
<td rowspan="3">Public task<br>Scope of public sector information available for re-use<br>How you will demonstrate compliance</td>
<td>Cross-body team with a Re-use Champion to lead</td>
<td>Licences as open and non-restrictive as possible</td>
<td rowspan="3">With other applicable legislation such as access to information legislation<br>With any applicable local government requirements</td>
</tr>
<tr>
<td>Clear and fair charging information</td>
<td>Information available at marginal cost*, which will be nil for most online and digital data</td>
</tr>
<tr>
<td>Clear and fair internal complaints process</td>
<td></td>
</tr>
</table>
✓ Define the benefits of public sector information access and re-use (and open data and open licensing wherever possible) for your public sector body. Think about benefits to legal, political, social, economic, organisational and technical aspects of your public task. ✓ Define and publicise your public task, whether it is statutory or by common administrative practice
- Certain public sector bodies will be permitted to charge above marginal cost under the 2015 Regulations
Checklist - Get ready for re-use v2.1 Updated January 2019 \<page_number>Page 1\</page_number> Create and publish a statement of re-use (see an example). A statement will help re-users know up front what material you offer for re-use and any conditions
Capitalise on your publication scheme to develop an asset list register so you know details of what information you have, and which information to make re-usable under the 2015 Regulations – this is aligned to your public task
Create or update your third-party intellectual property rights register and include contact details of third-party rights holders where known (while still complying with the Data Protection Act)
Consider how you can make your information and metadata open and machine-readable whenever possible (preferably not aggregated) – you could make an open data/digitisation plan if your body does not already have one
Offer open licences whenever possible, or at least non-restrictive as possible – the Open Government Licence (OGL) is preferred. If you are a Crown body or want to licence Crown copyright information, you must seek permission from the Keeper of Public Records at The National Archives before you may do so.
Offer information at marginal cost, which will usually be nil for online or digital information. If you are permitted to charge for re-use, develop a clear and equitable pricing structure and publish details up front (e.g. in your re-use statement)
Create or update your internal complaints process to manage any issues with requests for re-use. Requests may be escalated to a binding decision-making body, so ensure you have a robust internal process in place
Create a re-use team so all aspects of access and re-use can be managed effectively. Include people who manage copyright and licensing, data and IT, access to information, information/records managers, communications and press, and finance/commercial development staff as appropriate
Nominate a re-use champion (for example, the person who is listed as your nominated contact with the Information Commissioner) to lead the re-use team and manage compliance
Ensure you comply with the Local Government Transparency Code (if applicable) and the Data Protection Act, and any other applicable legislation
Determine how you will demonstrate your public sector body’s compliance with the 2015 Regulations
More information:
The National Archives’ website has many resources on public sector information and re-use, including guidance and additional resources for the 2015 Regulations.
Checklist - Get ready for re-use v2.1 Updated January 2019 \<page_number>Page 2\</page_number>
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0999-pdf
|
<img>Cyfoeth Naturiol Cymru Natural Resources Wales logo</img>
# Anglesey CAMS
## Anglesey Catchment Abstraction Management Strategy
Last updated: 2015
**Introduction** A water abstraction licence is required to remove more than 20 cubic metres (4,400 gallons) of water per day from a river or stream, reservoir, lake or pond, canal or spring.
We use Catchment Abstraction Management Strategies (CAMS) to assess how much water is available for abstraction, and where. The strategies aim to meet the water needs of the environment and to allow water users to sustainably exploit any surplus.
In 2014 we completed the second round of CAMS licensing strategies. The updated strategies use an improved method and which meets the requirements of the EU Water Framework Directive by applying a better understanding of how much water the environment needs.
**General Policy** All water abstraction licences will be determined in accordance with statutory requirements, national and local policy. Licence applications will be considered on a case-by-case basis, but some general principles apply to all:
- We will apply time limits to all new and varied licences (other than those requesting reductions in water volumes, or minor changes with no environmental impact)
- In this catchment new licences will generally be issued with a time limit to 31 March 2026
- Existing time-limited licences will be renewed as long as three tests are passed: the water can be justified, it is used efficiently, and the abstraction is environmentally sustainable
- We have a duty to issue licences which do not adversely impact on the environment or existing abstractions
- We monitor and enforce compliance with the licences we issue and have an inspection programme to ensure this.
www.naturalresourceswales.gov.uk \<page_number>Page 1 of 3\</page_number> Rivers Table 1 and map 1 show where water is likely to be available for abstraction in the main river catchments of Anglesey. The areas outside the main catchments have not been assessed in detail, however it is quite likely some water is available there. We will assess applications in these areas on their individual merits.
<table>
<thead>
<tr>
<th>Catchment</th>
<th>Is more water available?</th>
</tr>
</thead>
<tbody>
<tr>
<td>Alaw</td>
<td>No</td>
</tr>
<tr>
<td>Braint</td>
<td>Yes</td>
</tr>
<tr>
<td>Cefni</td>
<td>No</td>
</tr>
<tr>
<td>Crigyll</td>
<td>Yes</td>
</tr>
<tr>
<td>Tan yr Ralt</td>
<td>Yes</td>
</tr>
</tbody>
</table>
**Table 1. Water availability**
The volume of water available for licensing varies from catchment to catchment. We can advise you approximately how much, but a licence does not guarantee that the water will always be there, or that the water quality will be suitable. We may also have to place special conditions on a licence to protect local features such as wildlife or conservation sites.
The Alaw and Cefni catchments both contain reservoirs used as drinking water supplies. These are already using all the water we consider to be available, so we cannot consider licensing any further abstraction in these catchments.
Even where there is no water available, it may be possible to "trade" water with an existing abstracter to allow you to abstract. In most cases this will require us to issue a new abstraction licence or change an existing one.
**Groundwater** If an abstraction from groundwater on Anglesey is likely to reduce the flow in a nearby river, a licence is required. In this case, water availability is the same as for the corresponding river catchment. If there is no likely effect on river flows, a licence is not required, even for more than 20 cubic metres per day. This exemption is likely to be removed in the future, but the exact timetable has yet to be determined. We will update this strategy when it is.
**Non-consumptive abstraction** If an abstraction returns 100% of the water abstracted back to the same catchment it is known as "non-consumptive". Common non-consumptive uses of water include hydroelectric power generation, fish farms and ground source heat pumps. Because all the water is returned, the environmental impact is localised and there is no overall change in water availability. Consequently we may be able to consider licensing new non-consumptive abstractions where we would not license other water uses.
www.naturalresourceswales.gov.uk \<page_number>Page 2 of 3\</page_number> River Water Availability
<img>A map showing water availability in Wales. The map is titled "Water Availability: Rivers" and has three categories: Yes (blue), No (red), and Not assessed (white). The map shows that the Cynon, Afan, and Teifi catchments are predominantly Yes, while the Llyn & Eryri CAMS area is predominantly No.</img>
Map 1 Water availability
We have produced strategies for all of the main water catchments in Wales. If the location you are interested in is not covered in this document, please consult one of the other strategies.
Whatever type of abstraction you are considering, it's a good idea to contact us at an early stage using our customer service number (0300 065 3000) so we can advise you on your particular circumstances.
www.naturalresourceswales.gov.uk \<page_number>Page 3 of 3\</page_number>
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1965-pdf
|
Pedro Abrantes Head of Analysis and Rail Economics
<img>ORR OFFICE OF RAIL AND ROAD</img>
29 April 2019
Jerry McLaughlin Executive Director, Mineral Products Association Gillingham House 38-44 Gillingham Street London SW1V 1HU
Dear Jerry,
Thank you for your letter of 11th March 2019 regarding CP6 Freight charges resulting from our recently concluded periodic review (PR18). In your letter, you raised concerns around the potential adverse impact that increased regulatory and operating costs (including track access charges) may have on the commerciality of the rail freight industry in general and the freight construction service in particular. You also requested that we provide further clarifications on the process we followed to arrive at our decision to change the CP5 track access charges structure, including the science behind the new charges, treatment of Network Rail’s engineering trains, and the compatibility between our policy and the incentives on train operators to invest in track-friendly rolling stock.
On 18th March 2019, we met you and your colleagues representing freight operators who run construction services. In this meeting, we provided clarifications on all the issues you raised in your letter. We are happy that the feedback we received from your colleagues who attended the meeting suggests that our explanations were satisfactory. This letter summarises the discussions we had but I am also attaching the slide pack we presented for more details on methodologies and the science behind the final levels of charges.
**PR18 Policy context and decision-making process**
1. The EU and UK legislative requirements mean that Network Rail must recover from train operators the full direct costs it incurs in the process of providing its services. There can be capping/phasing-in of any increase in charges but it must not be open-ended or indefinite. There must come a time when full costs are charged.
2. The main charge that recovers these direct costs is the variable usage charge (VUC). Specifically, it is designed to recover the operating, maintenance and renewal costs that vary with marginal changes in traffic. VUC is disaggregated by vehicle class and freight commodity to ensure its cost reflectivity. Broadly, heavier and/or faster vehicles incur a higher VUC, reflecting the relatively higher levels of damage that they cause.
3. Currently, in respect of repairing the wear-and-tear that train operators cause to the network is significantly higher than the charges levied to meet these costs. This is due primarily to the deterioration in Network Rail’s efficiency and the capping of the VUC for certain operators (including construction) in PR18. As explained in our PR18 Final Determination (published here) and in our meeting of 18th March 2019, without policy intervention, the (uncapped) VUC would have to increase materially in CP6 to meet these costs. For example, while the VUC for construction is forecast
\<page_number>Page 1 of 5\</page_number> to increase by 8% from end of CP5 to the first year of CP6, it would have to increase by 58% if we did not intervene.
4. Our decision on CP6 track access charges aimed at simplifying the charging structure and providing both stability and predictability in charges until at least the end of CP7. When taking these decisions, we paid due regard to our statutory duties. These duties include promoting efficiency and economy on the part of persons providing railway services, having regard to protecting the interests of users of railway services, enabling persons providing railway services to plan the future of their businesses with a reasonable degree of assurance and having regard to the funds available to the Secretary of State.
5. In the process, we widely engaged with stakeholders through meetings and published consultations. We also undertook analysis to assess the financial impact on train operators of our decisions on the levels of contractual charges and incentives in CP6. We published a note explaining this analysis here.
**Changes to the level and structure of charges**
6. To simplify the charging structure, we decided to remove some charges and incentives that we thought were not working as intended (i.e. the route-level efficiency benefit sharing (REBS) mechanism, the volume incentive, the capacity charge and the coal spillage charge). We have also decided to rename all charges recovering fixed network costs “infrastructure cost charges” (ICCs). For freight services, this means that the freight only line charge and freight specific charge will be merged in an overall ICC. Figure 1 below summarises the changes in the charges structure facing construction materials.
**Fig 1. Structure of Charges for construction materials: CP5 vs. CP6**
<table>
<tr>
<td>Operator</td>
<td>CP5 Charging Structure</td>
<td>CP6 Charging Structure</td>
</tr>
<tr>
<td>Construction materials</td>
<td>Capped VUC<br>EAUC<br>EC4T<br>CC</td>
<td>Capped VUC<br>EAUC<br>EC4T</td>
</tr>
</table>
7. Furthermore, we decided to cap and phase-in the VUC so as to achieve full cost recovery at the end of CP7, i.e. after a period of ten years from the start of CP6.
8. When considering the capping/phasing-in of charges, we had particular regard to the impact on train operators’ total variable charges. In particular, we took into account the impact of our decision to remove the capacity charge and the coal spillage charge in CP6, as well as our decision to switch the indexing of charges from RPI to CPI. The financial implications of these policies are clearly spelt out in our final determination and its supplementary documents.
9. In particular, the decision to remove the capacity charge means saving for train operators. For example, freight construction services are forecast to save c. £0.57m each year (in 2017/18 prices, and relative to the final year of CP5) as a result of this policy. This is equivalent to c.4.5% of the total variable charges paid by the
\<page_number>Page 2 of 5\</page_number> sector in 2018/19. However, it also means a significant reduction in one element of total variable charges for Network Rail. Therefore, we decided to introduce a policy that ensures Network Rail is not made worse-off, by ensuring it recovers the same amount in total variable charges in real terms (i.e. before the effect of inflation is taken into account) in the first two years of CP as it did in the final year of CP5. As we decided to keep other variable charges (EAC and EC4T) constant, this means a slight increase in VUC in real terms (see figure 2. below and the calculations in the slide pack).
10. Following our capping and phasing-in policy, the rail freight sector will benefit from a two-year adjustment period during which total variable charges are expected, on average, to stay constant in real terms. Then, the transition to uncapped levels will follow a steady straight-line ‘glide path’ to the end of CP7. The average real terms increase in total variable charges will be 10% between the end of CP5 and the end of CP6, and 26% between the end of CP5 and the end of CP7.
11. For **freight construction services**, the VUC rate will increase by c. 8% in real terms between 2018/19 and 2019/20. This means that Network Rail income from VUC paid by this sector is expected to go up from c. £12.5m in 2018/19 to c. £13.47m in 2019/20. On the other hand, the sector is expected to have paid c. £0.57m in 2018/19 through the capacity charge. From 2019/20, this charge will no longer be paid. Taking these two charges into account, the sector will see a 3.1% real terms increase in charges between the end of CP5 and the start of CP6 (from c.£13.07m to c.£13.47m). Note that all figures above are before inflation, in 2017/18 prices, and based on Network Rail’s traffic forecasts.
12. The approach to phasing-in the increase in freight VUC rates for CP6 is explained in the attached slides but further details can also be found in a note that Network Rail published here. Figure 2. below illustrates the path to full cost recovery at the end of CP7.
**Figure 2. Transition profile to full cost recovery**¹
<img>
A line graph showing Total variable charges (VUC) over time.
The x-axis represents CP6 and CP7.
The y-axis represents Charges (real terms).
There is a blue arrow labeled "Reduction in other VC offset by increase in VUC" pointing downwards.
The graph shows that Total variable charges (VUC) increases from CP6 to CP7.
</img>
¹ Diagram is not generated directly from the underlying data. Illustrative only
\<page_number>Page 3 of 5\</page_number> **VUC rates variability by commodity segment and potential modal shift**
13. Different types of vehicles/commodities impose different degrees of wear-and-tear costs on the network and it is important that, over time, variable charges reflect this. We explained this in our meeting and shared with you analysis illustrating how VUC rates vary for different freight commodities/vehicles (see page 19 and 23 of the attached slide pack, respectively). You can compare CP5 and CP6 VUC rates by vehicle using the online calculators published by Network Rail (CP5 VUC calculator [here](https://www.networkrail.co.uk/transport-for-england/track-and-vehicle-costs/vuc-calculator) and CP6 VUC calculator [here](https://www.networkrail.co.uk/transport-for-england/track-and-vehicle-costs/vuc-calculator)). In CP5, the freight capacity charge was applied as a uniform rate (average for all operators, service groups and commodities) in £ per train mile (see section 3 of the CPS list of capacity charge rates [here](https://www.networkrail.co.uk/transport-for-england/track-and-vehicle-costs/cps-list-of-capacity-charge-rates)) so you can easily work out the overall change in charges for typical freight trains).
14. In our final determination, our discussion focused on the average rate increases for the rail freight sector as a whole. This may have inadvertently concealed the significant variability in rates within the sector, with some vehicles and commodity segments facing rate increases much higher than the average. As we explained in our meeting, this variability of individual rates around the average reflects differences in the amount of wear-and-tear caused by different vehicles on the network and differences in the CP5 capping arrangements.
15. However, in our final determination, we also stated that we undertook the analysis to assess the impact that our policies would have on different freight commodities, based on each commodity segment’s elasticity ([MDST, 2012](http://www.mdst.gov.uk/publications) and compared to the forecast traffic growth for that commodity segment ([MDST, 2017](http://www.mdst.gov.uk/publications)). Our analysis showed that the proposed increase in total variable charges is not expected to result in a material contraction of any of the freight commodities (including construction materials). In fact, our capping/phasing-in transition profile acts to moderate the rate of increase in rates to uncapped levels for all freight VUC rates.
**Incentives to invest in track-friendly wagons**
16. As discussed at the meeting, the underlying methodology for calculating VUC rates has not changed between CP5 and CP6. Therefore, there is still a financial incentive to invest in track-friendly vehicles, and we hope that stakeholders will continue to do this during CP6. The example we gave in page 23 of the slide pack shows that in CP6 the VUC rate applicable to a track-friendly JNAT wagon is 17% lower than the rate applicable to a less energy-efficient JNAC wagon.
17. To help you better understand the financial benefits of investing in track-friendly vehicles, I encourage you to use the CP6 VUC calculator that Network Rail has published [here](https://www.networkrail.co.uk/transport-for-england/track-and-vehicle-costs/vuc-calculator). This spreadsheet tool allows you to enter wagon characteristics, including gross weight, axle load, un-sprung mass, etc., and then calculate the relevant VUC rate for the wagon type.
18. Following the meeting, we now understand that the confusion in this area arose because, as explained above, the majority of freight VUC rates increase uniformly by approximately 8% between the last year of CP5 and the first year of CP6. This change reflects our methodology for phasing-in the increase in freight VUC rates over CP6. As earlier explained, this 8% increase is designed to offset the financial impact of our decision to remove the capacity charge for CP6 (i.e. keep the overall level of freight charges the same for the first two years of CP6). In the latter years of CP6 most freight VUC rates gradually increase towards, however, do not reach, the ‘uncapped’ levels. The ‘uncapped’ level of charges continues to be lower for track
\<page_number>Page 4 of 5\</page_number> friendly vehicles than non-track friendly vehicles, therefore, retaining the financial incentive to invest in track-friendly rolling stock.
**Network Rail’s engineering trains** 19. As also discussed at the meeting, we can confirm that the wear-and-tear costs associated with Network Rail’s engineering trains are not spread amongst the rest of the bulk freight sector.
20. Hoping that this letter and the discussions we had at our meeting on the 18th March 2019 have clarified the concerns you had on our CP6 charging structure, colleagues and myself remain available to discuss any further issues you may have.
Yours sincerely
Pedro Abrantes
\<page_number>Page 5 of 5\</page_number>
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ENGLISH
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